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Call for Proposals: Electric Vehicles in ASEAN: Total Cost of Ownership, Externalities, and Sustainable Strategies

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The Economic Research Institute for ASEAN and East Asia (ERIA) is extending an invitation for research proposals pertaining to the theme of 'Electric Vehicles in ASEAN: Total Cost of Ownership, Externalities, and Sustainable Strategies'. The selected research proposals will be funded by the ERIA research project on the very theme in fiscal year 2023-2024.

ERIA, an international organization established by the 16 member countries of the East Asia Summit (EAS), aims to contribute intellectually to the regional endeavors of ASEAN Community building and East Asia economic integration. Its primary role involves offering policy analyses and recommendations to Leaders and Ministers during key regional meetings, including the ASEAN Economic Ministers Meeting, EAS Energy Ministers Meeting (EMM), ASEAN Summit, and the EAS.

Research teams, groups, institutions, or individual researchers, hereafter to be called “Contractors”, are invited to submit their research proposals via email to Alloysius Joko Purwanto ( [email protected] ) no later than Monday, 7 August 2023.  Early submission is strongly encouraged.

Authors will receive notification regarding the decision on proposal selection no later than 18 August 2023.

1. Subject of Research 

Electric Vehicles in ASEAN: Total Cost of Ownership, Externalities, and Sustainable Strategies

2. Background and Objective of the Research

Electric vehicles are growingly believed to be one of the silver bullets to remedy many issues in ASEAN, e.g., energy security, climate change, environmental, as well as economic downturn, whilst there are still so many issues to discuss.

Suehiro and Purwanto (2019 and 2021) stated that unless the power generation mix in ASEAN Member States does not experience significant penetration of renewables, then massive penetration of EVs would contribute nothing to the reduction of greenhouse gas emissions. Carbon footprints of manufacturing EVs and their batteries are also problematic. Manufacturing of electric vehicles in China emits about 13 metric tons (MT) of carbon dioxide (CO2), including  battery manufacturing, compared to 10.5 MT CO2 emitted by internal combustion engine (ICE) vehicle manufacturing (Qiao, et al., 2019). Not to mention lithium mining in the other parts of the world that has clear environmental downside, laterite nickel mined in Indonesia, for example, needs an energy intensive process of high-pressure acid leach (HPAL) to be transformed into an intermediate product before further used as cathode material in batteries. Furthermore, the end-of-life of lithium-ion (Li-ion) batteries raise not-yet-answered environmental issues.

The supply chain of EVs and their batteries are not simple. A big investment is haunted by a failure risk in one of the chains.

Currently, Indonesia and Viet Nam have started to manufacture and sell electric powered-2- wheelers but none of the ASEAN member states has started to produce electric cars at commercial level. Conventional car manufacturers start to invest in Indonesia and Thailand to build their electric car plants as well as some private companies who are building consortium to manufacture them.

In the meantime, Indonesia and Thailand have a plan to establish battery manufacturing plants in a short-term horizon to primarily support their to-be-born EV industry. Now, most EV battery production in Asia is dominated by China who procures most of the needed critical minerals domestically, except for nickel (from Indonesia), cobalt (from Congo) and some parts of lithium (from Russia).

Finally, the penetration of EVs will need deployment of charging infrastructures. The number and distribution of these infrastructures require well-defined strategy and plan with a clear objective which is bargain between the cost minimization of constructing and running the infrastructures and the cost minimization from the user point of view, i.e., distance to the charging and the queueing time at the infrastructure.

This study aims at assessing the following aspects of EV in ASEAN: (i) total costs of ownership, (ii) global warming potential, (iii) potential environmental impacts, (iv) strategies for a sustainable EV ecosystem, and (v) the development of production networks.

The study shall cover not only the electric vehicle operation, fueling, its fabrication, and scrapping, but also charging installation deployment, battery fabrication including critical mineral mining extraction, processing, until recycling or repurposing or waste management of those batteries when they reached their end-of-life and propose a working framework to build strategies for a sustainable EV ecosystem. The study shall cover the Association of Southeast Asia Countries (ASEAN) region and deal with electric cars and powered electric two wheelers (e- motorbikes).

3. Topics of research 

To support the study, ERIA decides to release 4 (four) topics of research in this Call for Proposal where Contractors can choose to build their and submit their research proposal:

3.1.  Total costs of ownership (TCO) analysis of Electric Vehicles in ASEAN

TCO analysis should provide a set of estimates of the TCO of the different EV types consisting of electric cars and electric powered-2-wheelers differentiated into different classes or categories in the different ASEAN countries. TCO should include capital and operational costs of the vehicles. The capital costs include the price to acquire the vehicle, as well as all fees and taxes related to the acquisition of the vehicles. Operational costs must include electricity costs, maintenance & repair costs, and all fees & taxes related to the operation. The estimate of the TCO should be calculated for all the electric vehicles acquired from 2018 to 2022 in each ASEAN country, considering the estimated average yearly mileage, average vehicle lifetime, and reasonable discount rate. While focus is given to the electric vehicles, the same estimated variables from the comparable internal combustion engine (ICE) vehicles categories and classes must be given as benchmarks or references of the analysis.

3.2.  Potential global warming potential and environmental impacts of electric  vehicles and batteries in ASEAN

This study should provide an estimate of global warming and environmental impacts of electric vehicles in ASEAN using life-cycle analysis (LCA) which cover all potential impacts since the mining of the material, the fabrication of the vehicle, the use of the vehicles, and the waste impacts of the scrapped vehicles. The study must cover the different EV types consisting of electric cars and electric powered-2-wheelers differentiated into different classes or categories.

This study should also provide an estimate of global warming and environmental impacts of electric vehicle batteries in ASEAN using life-cycle analysis (LCA) which cover all potential impacts since the mining and processing of the material, e.g., HPAL process’ toxic production waste in Indonesia’s nickel processing, the fabrication of the batteries, the use of the vehicles, and the waste impacts of the scrapped batteries. The study must cover the different EV battery types distinguished into the different cathode chemistry types, capacity, and use (such as fixed versus swab batteries).

3.3.   Power and charging infrastructure investment requirements for adopting EV in  ASEAN

EV charging poses a substantial challenge to the power infrastructure of ASEAN countries. This can be further decomposed into the issue of infrastructure investment required, business model, financing, grid reliability and safety, policy options, standards harmonization among ASEAN member countries, and so on. The study is expected to identify the most challenging issues in this regard in the ASEAN context, provide analytical results with models, and derive policy implications accordingly.

3.4.  Strategies for sustainable nickel mining and processing in ASEAN

The combination of a series of nickel ore export bans and foreign domestic investment in building nickel mining and processing industry are the key elements of Indonesia’s current success in developing its nickel industry to play an important role in the world EV ecosystem. Apart from Indonesia, the Philippines is another ASEAN countries that has important reserve of nickel. The study aims at first, analyzing and assessing this current Indonesia’s model from the economic and sustainability perspective, second, based on Indonesia’s case and the Philippines’s potential, elaborating strategies for sustainable nickel mining and processing in ASEAN.

4. Proposals

ERIA calls for detailed research proposals for each of the above-listed parts, i.e. one proposal for one topic of the above points 3.1 to 3.4 . For each topic there will be only one selected Contractor. However, a Contractor can submit proposals to more than one topic and can be selected to perform research on more than one topic.

A Term of Reference (ToR), as part of the contract, will be developed based on the proposal should the proposal be selected and accepted.

Each Contractor will get a budget of not more than USD 9,000 *  to conduct the study using the following possible methods: (i) bibliography studies, (ii) data collection, (iii) quantitative analysis, and (iv) surveys and interviews.

*Please note that as an international organization, ERIA is exempt from value added tax (VAT).

Submitted research proposals should be about 5 to 8 pages long and each proposal that must contain the following parts:

  • Research question(s);
  • Objective and background;
  • Brief literature review;
  • Description of data and methodology;
  • Expected value added;
  • Policy relevance;
  • References.

5. Originality and Publication

The research should be an original one. The final report will be included in an edited project report which will be submitted to ERIA. Some of the completed research papers may be posted as working papers for the ERIA Discussion Paper series. As an outcome, a handbook / special journal issue on energy policies related to electric vehicle topics could be published.

6. Research Project Leader

The study will be coordinated by:

  • Shigeru Kimura, ERIA Special Advisor on Energy Affairs, as project supervisor and advisor
  • Alloysius Joko Purwanto, ERIA Energy Economist, as project coordinator
  • Yanfei Li, ERIA Research fellow, as academic leader
  • Citra Endah Nur Setyawati and Ryan Wiratama Bhaskara, both ERIA Research Associates, as project research associates

7. Expected Timeline

NoActivity Date
1

Launching 4 calls for proposal

1 week of July-23

2

Proposal submission

1 week of July 2023 – 7 August 2023

3

Selection process

8 August-23 to 18 August-23

4

Online kick-off meeting

1 week of September-23

5

Online progress meeting 1

4 week of October-23

6

Online progress meeting 2

1 week of February-24

7

Online final meeting

1 week of April-24

8

Report publication

May-24

9

Papers in journal publication

July-24

8. References 

Suehiro S. and A. J. Purwanto, 2019,’ Study on Electric Vehicle Penetrations’ Influence on 3Es in ASEAN’, ERIA Research Project 2018 no. 06, Economic Research Institute for ASEAN and East Asia, Jakarta,  https://www.eria.org/publications/study-on-electric-vehicle-penetrations-influence-on-3es-in-asean/   (as accessed 4 July 2023)

Suehiro S. and A. J. Purwanto, 2020, ‘The Influence on Energy and the Economy of Electrified Vehicle Penetration in ASEAN’, ERIA Research Project 2020 no. 14, Economic Research Institute for ASEAN and East Asia, Jakarta, https://www.eria.org/publications/the-influence-on-energy- and-the-economy-of-electrified-vehicle-penetration-in-asean/ (as accessed 4 July 2023)

Qiao, Q., F. Zhao, Z. Liu, X. He, H. Hao, 2019, ‘Life cycle greenhouse gas emissions of Electric Vehicles in China: Combining the vehicle cycle and fuel cycle’, Energy, Volume 177, 2019, Pages 222-233, ISSN 0360-5442, https://doi.org/10.1016/j.energy.2019.04.080 (as accessed 4 July 2023)

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Electric vehicle adoption: a comprehensive systematic review of technological, environmental, organizational and policy impacts.

research proposal on electric vehicles

1. Introduction

2. methodology.

  • Literature Retrieval: We conducted a comprehensive search in the Scopus database using a specific set of keywords to identify publications relevant to EV adoption. The search, adhering to PRISMA 2020 guidelines, was completed in August 2024. The search strategy was designed to cover the literature on EV adoption comprehensively, using a targeted query in the Scopus database. Our search string was: (“electric vehicle*” OR “EV” OR “EVs”) AND (“fleet electrification” OR “fleet management” OR “fleet operations” OR “Emission Reductions” OR “Adoption of EVs”) AND (“sustainability” OR “organizational performance” OR “Key Performance Indicators” OR “KPI” OR “energy consumption” OR “cost savings” OR “renewable energy utilization”). We restricted our search to English-language, peer-reviewed journal articles published from 2019 to 2024, ensuring a focus on the most recent and relevant research. The keywords were carefully selected to cover the complex dimensions of EV adoption research. “Electric vehicle*” and its variants broadly define the scope, while terms like “fleet electrification”, “management”, and “operations” delve into organizational impacts. Environmental effects are captured by “Emission Reductions” and “sustainability”, whereas “Organizational performance”, “KPI”, and similar phrases focus on the technological and performance-related aspects essential for understanding EV adoption’s broader implications. We chose Scopus as our primary database due to its comprehensive coverage across diverse research fields such as engineering, environmental science, and business. This strategy led to the retrieval of 802 papers, reflecting current trends and significant interest in the multifaceted impacts of EV adoption.
  • Literature Screening: Adhering to PRISMA 2020 guidelines, we meticulously reviewed the retrieved literature to ensure relevance and quality. Initial filtering based on publication year (2019–2024) reduced the pool to 498 papers, reflecting a surge in EV adoption research. Further refinement to include only English-language journal articles narrowed it down to 312 papers. Next, we reviewed the titles and abstracts of the remaining papers, narrowing our selection to 130 studies closely aligned with our focus on the integration of EVs with sustainability and organizational strategy. We applied strict exclusion criteria to ensure the included studies comprehensively addressed the impact of EV adoption on organizational performance, technological innovation, and sustainable infrastructure, excluding those that solely focused on the technical aspects of EVs without considering these broader impacts. The flow diagram of the search and selection process is shown in Figure 3 .

2.1. Selection Process

2.2. data collection process, 2.3. data items and outcomes sought.

  • Environment: Focus on GHG emissions, air quality improvements, and lifecycle environmental impacts.
  • Organizations: Examination of economic viability, energy efficiency, and market dynamics affected by EV adoption.
  • Technology: Analysis of advancements in battery technologies, energy storage solutions, and smart charging strategies.
  • Policy: Assessment of policy frameworks, regulatory impacts, and strategic recommendations to encourage EV adoption.
  • Participant Characteristics: Information about the organizations and sectors involved in adopting EVs, focusing on the scope of adoption and types of fleets, such as public transport and commercial fleets.
  • Intervention Characteristics: Details concerning technological and operational interventions, including the use of specific EV models, charging infrastructures, and battery management strategies.
  • Geographical Distribution: Analysis of regional data to understand the geographical spread and contextual impacts of EV adoption.
  • Data Completeness: The bibliometric data from Scopus were assumed to be complete and accurate.
  • Software Reliability: VOSviewer software was assumed to be reliable in producing precise visualization maps and identifying key terms.
  • Impact of Missing Data: Missing or unclear information was assumed not to significantly affect the overall analysis, with efforts made to clarify or supplement such data as needed.

3. Bibliometric Analysis

3.1. co-occurrence map based on text data, 3.2. co-occurrences map based on keywords, 3.3. co-occurrence map based on country of co-authorship, 3.4. co-occurrence map based on authorship, 3.5. data analysis on article sources, 4. content analysis, 4.1. impacts of ev adoption on energy, economy, and market dynamics, 4.1.1. energy efficiency and consumption, 4.1.2. analysis of energy efficiency and consumption.

Vehicle TypeEnergy Consumption (Wh/pkm or MJ/km)Conventional Vehicle Energy ConsumptionEnergy Savings (%)
Electric Two-Wheeler28.67 Wh/pkm [ ]Scooter: 139.26 Wh/pkm, Motorcycle: 155.93 Wh/pkm [ ]80–85%
Electric Three-Wheeler43.25 Wh/pkm [ ]LPG Auto: 230.21 Wh/pkm, Diesel Auto: 181.40 Wh/pkm [ ]76–81%
Full EVs (Four-Wheelers)166 Wh/km (Nissan Leaf) [ ]2024 Nissan Sentra: around 264 Wh/km (34 miles per gallon) [ ]around 37%
LCVsMercedes-Benz eVito Tourer Long 90 kWh: 194–391 Wh/km (depends on weather and driving conditions) [ ]Mercedes-Benz Vito 119 CDI: 660 Wh/km (21.48 liters/100 km) [ ]up to 70%
HCVVolvo FH Electric: 1.1 kWh/km (1100 Wh/km) [ ]Volvo FH Diesel: 2148 Wh/km (21.48 liters/100 km) [ ]48.8%
  • Impact of Power Generation Mix: The environmental benefits of EVs, particularly in terms of CO 2 emissions, are significantly influenced by the electricity generation mix. For instance, BEVs in regions with a high proportion of renewable energy sources exhibit lower lifecycle CO 2 (LCCO 2 ) emissions compared to ICEVs. In Norway, where the electricity is predominantly generated from hydropower, BEVs have much lower LCCO 2 emissions than ICEVs [ 35 ]. Conversely, in China, where coal is a major source of electricity, BEVs may have higher LCCO 2 emissions than efficient ICEVs like the Honda Insight [ 36 ]. Table 7 presents an illustrative example of LCCO 2 emissions by region and vehicle type.
  • Analysis of Energy Savings and CO 2 Reduction: BEVs with an energy consumption rate (ECR) of 10 kWh/100 km can meet the EU 2020 CO 2 regulations if the power generation mix LCCO 2 is around 900 g/kWh. For BEVs with an ECR of 20 kWh/100 km, the power generation mix must have LCCO 2 below 460 g/kWh to meet the same regulations [ 37 ]. Moreover, BEVs in high-mileage applications, such as ride-hailing fleets, could require 1–1.5 battery replacements over a 12-year vehicle life, impacting their overall environmental performance [ 38 ].

4.1.3. Impact of EVs on the Economy

4.1.4. strategic insights and market dynamics in ev adoption, 4.2. impact of electric transportation on the energy sector: focus on the petroleum industry, 4.3. environmental impact of ev adoption, 4.3.1. overview of carbon emissions reduction in vehicle types and technologies, 4.3.2. regional and global impacts of ev adoption, 4.3.3. analysis of carbon emissions reduction in vehicle types and technologies, 4.3.4. lifecycle environmental impacts, 4.3.5. contribution of co 2 and energy consumption in recycling ev batteries, 4.3.6. impact of tires on carbon footprint in evs.

  • Carbon Black vs. Silica: LCAs reveal that silica-based tires emit approximately 11,639.36 kg CO 2 eq per ton, which is a reduction of 526.78 kg CO 2 eq compared to all-carbon black systems. This transition not only reduces the Global Warming Potential (GWP) by about 4.3% but also enhances the performance of tires in terms of lower rolling resistance and better wet grip [ 120 ].
  • Cumulative Energy Demand (CED): Traditional tires exhibit higher energy consumption due to inefficient material use. Conversely, ecological tires made with silica have a lower energy demand, benefiting from more sustainable manufacturing processes that further contribute to reducing the carbon footprint of EVs [ 121 ].
  • Carbon Black vs. Graphene: Integrating graphene into tire production can decrease carbon emissions by up to 23.46% when graphene fully replaces carbon black. This potential reduction is pivotal, considering that the raw material stage of production, where carbon black is heavily used, contributes most significantly to the overall emissions. By substituting carbon black with 25%, 50%, 75%, and 100% graphene, the emissions can be reduced by 5.92%, 11.62%, 17.76%, and 23.46%, respectively. Remarkably, graphene can reduce the emissions of the carbon black component itself by up to 98.81% [ 122 ].
  • Tire Emission Control: Advanced control strategies have been developed to reduce tire emissions in EVs effectively. For instance, the implementation of tire particle control strategies can decrease particulate emissions by over 90% while ensuring ride comfort. This reduction is critical for mitigating microplastic pollution and reducing the indirect environmental impacts of EVs [ 123 ].

4.4. Technological and Operational Challenges in EV Integration

4.4.1. battery technologies and energy storage solutions, 4.4.2. strategies for recycling batteries and recovering cobalt and lithium, 4.4.3. ev charging strategies and technologies, 4.4.4. managing and optimizing ev charging infrastructure, 4.4.5. software solutions for ev fleet management, 4.5. policy recommendations and future directions, 4.5.1. comprehensive policy frameworks, 4.5.2. specific policy studies, 4.5.3. systemic and regulatory impacts, 4.5.4. summary of research, 5. conclusions and future research, 5.1. key findings.

  • Technological Advancements: EV technology is advancing steadily. Improvements in battery life, charging infrastructure, and energy efficiency are driving adoption rates. However, ongoing innovation and investment are crucial to address challenges like limited battery range and the need for more robust charging networks.
  • Policy and Regulatory Frameworks: Strong policy support is crucial for accelerating EV adoption. Effective strategies include incentives, subsidies, and clear regulatory frameworks. While these approaches have successfully stimulated market expansion in various regions, their varying effectiveness underscores the need for tailored policies that consider local market conditions and technological maturity.
  • Economic and Organizational Impacts: Despite higher upfront costs compared to traditional vehicles, EVs offer potential lifecycle cost savings. Organizations, especially those with large fleets, can benefit from these cost efficiencies, improved fleet management capabilities, and a more sustainable corporate image.
  • Environmental Benefits: The shift to EVs, especially when coupled with a transition to renewable energy sources, significantly reduces GHG emissions. Additionally, EVs contribute to improved urban air quality and noise reduction, creating a healthier urban environment.
  • Challenges and Barriers: Despite clear advantages, challenges remain that impede broader EV adoption. These include the high initial cost of EVs, limitations in battery technology and charging infrastructure, and the cultural and behavioral changes needed to adapt to electric mobility.

5.2. Future Research Directions

  • Long-term Sustainability Assessments: Comprehensive LCAs considering the environmental impact of battery production and disposal are crucial for understanding EVs’ long-term sustainability.
  • Technological Integration: Research is needed to explore how EV technology can seamlessly integrate with smart grids and renewable energy systems. Focusing on technological integration can enhance overall sustainability and energy efficiency.
  • Economic Analyses: Detailed cost-benefit analyses comparing EVs with traditional vehicles across various operational scenarios and market conditions are necessary. These studies can inform economic forecasts and support the development of robust business models for EV adoption.
  • Behavioral Studies: Insights into consumer behavior and organizational change management can assist in designing effective policies and business strategies. Understanding these factors can help stakeholders create incentives and approaches that encourage broader EV adoption.
  • Policy Evolution: As the market for EVs evolves, so must the policies that support their adoption. Continuous monitoring and evaluation of existing policies, along with the development of new strategies to address emerging challenges, are crucial for maintaining momentum and overcoming future hurdles.
  • Global Comparative Studies: Expanding research to include more comparative studies across different countries and regions can provide deeper insights into the global landscape of EV adoption. Examining variables that influence adoption rates in diverse contexts can inform the development of universally applicable strategies.

5.3. Limitations

5.4. conclusions, author contributions, data availability statement, conflicts of interest.

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Click here to enlarge figure

RankTermOccurrencesRelevance
1Shared Electric Bicycles (SEB)102.63
2China182.51
3Plug-in Hybrid Electric Vehicles (PHEV)121.99
4Internal Combustion Engine Vehicles (ICEV)201.67
5Government181.67
6Carbon Emissions451.57
7Algorithm301.36
8Strategy401.31
9Framework221.29
10Challenge191.24
RankKeywordOccurrencesTotal Link Strength
1Electric vehicles76497
2Fleet operations53358
3Energy consumption44286
4Sustainability36228
5Charging (batteries)29206
6Transportation25205
7Carbon emissions26199
8Economic analysis24197
9Secondary batteries25191
10Emissions control24176
RankCountryDocumentsCitationsTotal Link Strength
1United States2427212
2China243259
3Germany81665
4Netherlands4745
5Australia51083
6Spain4983
7Poland4613
8Turkey4482
9United Kingdom41092
10Italy41311
RankAuthorDocumentsCitationsTotal Link Strength
1Bie, Yiming1910
2Chen, Wen1910
3Hong, Jichao1910
4Ji, Jinhua1910
5Lin, Peng1910
6Qu, Changhui1910
7Qu, Xiaobo1910
8Wang, Leyi1910
9Wang, Xiangyu1910
10Wang, Zhenpo1910
Ref.FocusKey FindingsImplications
[ ]Modeling and analyzing energy efficiency of EVs vs. ICEVs in Malaysia using AIMSUN software.Significant energy savings and cost efficiencies with EVs.Strategic advantage for fleet electrification, reducing operational costs and environmental impact.
[ ]Analyzed a year’s worth of data from an electrified transit fleet, focusing on bus speed and seasonal energy consumption changes.Bus speed and seasonal changes significantly influence BEV energy consumption.Optimizing energy costs by adapting operations to seasonal variations enhances fleet electrification’s economic viability.
[ ]Explored driver behavior patterns and route optimization for long-haul electric trucking.Potential reductions in energy consumption and range anxiety.Enhancing operational efficiency of electric trucks, paving the way for sustainable long-distance transportation.
[ ]Investigated battery electric trucks for day trips in a department of transportation fleet.High feasibility for completing day trips with battery electric trucks.Potential for DOT fleet electrification, supporting sustainability goals without sacrificing operational efficiency.
[ ]Developed an energy-optimized adaptive cruise control strategy for EVs at intersections.Improved energy efficiency and traffic flow.Technological advancements can reduce operational energy costs and contribute to sustainability objectives.
RegionICEV Emissions (Tons)BEV Emissions (Tons)Comparison
Beijing42.23745.714Emissions in BEV is than ICEV
Yunnan30.28011.962Emissions in BEV is than ICEV
Ref.FocusKey FindingsImplications
 [ ]Optimizing electric bus fleet operations.Efficiency gains and cost reductions.Benefits for transit authorities and fleet managers.
 [ ]Evaluating electric van powertrains’ economic viability.Cost-effective fleet composition.Insights for logistics and transportation sectors.
 [ ]Assessing recharging business models for taxi fleets.Viability of battery swapping and double-shift operations.Cost benefits for the taxi industry.
 [ ]Developing energy consumption estimation models for EV fleets.Operational cost reductions.Tools for fleet managers to optimize operations.
 [ ]Evaluating BEVs in subarctic conditions.Cost of ownership and battery performance impacts.Considerations for EV adoption in various climates.
 [ ]Exploring feasibility of long-haul electric trucks.Challenges and requirements.Insights for logistics operations.
 [ ]Impact of driver behavior on energy consumption and costs.Significant impact of behavior.Importance of human factors in economic analysis.
 [ ]Analyzing trends in EV charging demand.Demand for faster charging solutions.Implications for energy consumption and infrastructure.
 [ ]Adaptive pricing strategy for EV charging.Potential for grid efficiency.Enhances grid efficiency and economic benefits.
 [ ]Dynamic pricing for EV charging.Benefits of aligning pricing with energy and traffic conditions.Supports renewable energy integration and traffic management.
 [ ]Policy influence on BEV adoption rates.Critical role of infrastructure support and subsidies.Importance of comprehensive policy frameworks.
Ref.FocusKey FindingsImplications
[ ]Using game theory to study the dynamics between electric and gasoline vehicles in South Korea.Optimization strategies for taxes and subsidies.Highlights the need for informed policy design.
[ ]Examining diverse business models for EV commercialization.Innovation and service orientation drive EV adoption.Framework for enhancing EV market penetration.
[ ]Investigating consumer attitudes towards EVs.Digital features, financial incentives, and environmental awareness influence decisions.Insights for boosting EV adoption through targeted marketing and policies.
[ ]Effects of EV penetration on Thailand’s electricity systems.Interaction between EV adoption and energy consumption patterns.Implications for national energy planning and GHG emissions strategies.
[ ]Exploring biofuels’ role alongside EV adoption in Norway.Alternative strategies for achieving climate goals.Advocates a multi-faceted approach including both EVs and biofuels.
[ ]Assessing the sustainability impact of conventional vs. electric fleets in Spain.Emissions implications of varying levels of EV penetration.Tool for evaluating fleet transitions for policymakers and fleet managers.
[ ]Operational dynamics of medium-duty EVs in urban delivery fleets.Economic considerations and technological needs.Insights for electric mobility transition and leveraging subsidies.
[ ]Stock dynamics model for fleet electrification, shared mobility, and autonomous vehicles.Impact on energy consumption and emissions in Switzerland.Strategic planning insights for market adoption and behavioral implications of emerging mobility trends.
Ref.FocusKey FindingsImplications
[ ]Investigating electric heavy-duty trucks within industrial settings.Substantial emissions reductions and efficiency gains.Actionable insights for greening operations through EV integration.
[ ]Evaluating the electrification of app-based taxi fleets in Delhi.Notable environmental and economic gains.Compelling case for urban mobility systems to transition towards EVs.
[ ]Comparing vehicle technologies for taxis in Hong Kong.EVs offer a cost-effective route to reducing carbon emissions.Importance of selecting the right EV technologies for transport organizations.
[ ]Evaluating the decarbonization potential of electric buses in Turkey’s urban transport.Electrification as a profitable and sustainable approach.Insights for integrating EVs into public transport systems.
[ ]Analyzing city buses with various energy storage systems.Finds EVs the most efficient, emphasizing potential for emission reductions.Importance of EVs for sustainable public transport improvements.
[ ]Introducing an innovative route optimization model for electric garbage trucks in Istanbul.Valuable insights into reducing energy consumption and environmental impact.Route optimization as a strategic tool for electric fleet management.
[ ]Evaluating energy consumption and CO emissions of various powertrains under real-world driving conditions in Northern Thailand.BEVs exhibited superior efficiency.Significant influence of regional driving characteristics on the environmental benefits of EV adoption.
[ ]Assessing the potential of BEPVs in China for electricity conservation and carbon emissions reduction.Strong emissions reduction potential of BEPVs.Compelling argument for integrating EVs into sustainability strategies.
[ ]Developing an urban-scale carbon emissions estimation model based on real-world ride-hailing EV data.Improves emissions accounting and showcases operational efficiencies.Methodology for optimizing the environmental performance of EV fleets.
Ref.FocusKey FindingsImplications
[ ]CO mitigation in China’s Yangtze River Delta.Significant CO and health benefits.Supports region-specific sustainable practices.
[ ]Carbon footprint reductions in Qatar’s gas-based grid.Substantial transportation carbon footprint cuts.Stresses the role of government incentives in similar contexts.
[ ]Fleet electrification in Greek urban areas.Notable environmental and social benefits.Advocates electrification for urban sustainability.
[ ]Electric vs. fossil-fueled vehicles in urban delivery.EVs are advantageous in urban delivery.Highlights EVs’ role in urban sustainability.
[ ]Forecasting new energy vehicle ownership in China.EV adoption impacts the decarbonization of transport.Necessitates strategic policies for sustainable mobility.
[ ]GLOSA tech in PHEVs.Technological advancements cut energy use and emissions.Integrating smart tech with EVs amplifies benefits.
[ ]EV rollout in China via integrated model.Significant CO reductions with minimal economic impact.Highlights EV adoption’s potential for sectoral emissions cuts.
[ ]Integrating truck–drone delivery systems.Significant last-mile emissions reductions.Drones with EVs enhance delivery sustainability.
[ ]Forecasting EV sales in Portugal and grid impact.Peak power demand challenges.EV adoption needs careful infrastructure planning.
[ ]EV vans in Great Britain: CO /NOx reductions and savings.Significant emissions cuts and economic savings.Advocates rapid electric van transition for sustainability.
Lifecycle StageNissan Leaf EVNissan ICE Vehicle (e.g., Nissan Sentra)Notes
ProductionHigher CO , water use, harmful substances, and electric energy.Lower CO , water use, harmful substances, and electric energy.EV production is more resource-intensive due to battery materials like nickel, manganese, cobalt.
OperationHigher energy use; 3.21 tons CO /year; more harmful substances.Lower energy use; 3.75 tons CO /year; fewer harmful substances.EVs use more energy due to inefficiencies but emit less CO during use; ICE vehicles are more efficient but emit more CO .
Natural ResourcesSix times more resources needed.Significantly fewer resources needed.EV production demands more natural resources, increasing its environmental footprint.
Waste ProductsMore industrial waste generated.Less industrial waste generated.EVs produce more waste during production due to the use of ores with low metal content.
Overall EnvironmentalHigher production burden, lower operational burden.Lower production burden, higher operational burden.EVs have a higher impact during production but lower during operation; the overall impact depends on the lifecycle stage balance.
Ref.FocusKey FindingsImplications
[ ]Lifecycle energy use and GHG emissions of various vehicle types in China, highlighting EV battery production impacts.Overall environmental benefits of EVs, especially with cleaner electricity.Insights on lifecycle impacts and sustainability for China’s transport sector.
[ ]Lifecycle environmental impacts of fleet electrification on asphalt concrete pavement in the U.S.Expands LCA to include infrastructure sustainability.Highlights the link between vehicle technology and infrastructure sustainability.
[ ]Comparing lifecycle impacts of different bus technologies in Bolzano, Italy.Electric buses reduce non-renewable energy demand and global warming potential.Benefits of electric buses for sustainable urban mobility.
[ ]LCA of shared electric bicycles in China.Significant net GHG reduction benefits, with efficient recycling practices.Indicates that shared electric bicycles can aid urban sustainability, important for shared mobility ecosystems.
[ ]LCA of various vehicle technologies in India.Emissions reductions from electrification depend on regional energy grid composition.Need for strategic EV implementation considering local energy contexts, offering insights for policymakers.
[ ]Assessing emissions impact of various vehicle types in China using LCA.EVs significantly reduce CO emissions, especially with more renewable energy.Insights for understanding the environmental benefits of transitioning to electric mobility.
[ ]Comparative analysis of EVs and ICEVs in the US, focusing on battery degradation over time.Provides a nuanced view of EVs’ environmental and economic benefits.Informs stakeholders about EV performance complexities, aiding data-driven vehicle selection decisions.
AspectPyrometallurgicalHydrometallurgicalDirect PhysicalCharging Infrastructure
ProcessHigh-temp processingChemical leachingDirect separationLevel 1, 2, DC fast chargers
Energy Use7.64 kWh/pack [ ]7.76 kWh/pack [ ]Not specified (experimental)1 kW (L1), 3.3–19.2 kW (L2), 50–350 kW (DC) [ ]
CO Emissions0.224 kg CO /pack [ ]Not specified37.2 kg CO -eq/kWh [ ]Varies by energy mix; higher in fossil fuel-dominant regions [ ]
Environmental Impact2.17 × 10 (normalized) [ ]−1.50 × 10 (normalized) [ ]32% lower than traditional [ ]Significant from manufacturing, operation, disposal [ ]
AdvantagesHigh economic valueLess energy-intensive, fewer emissionsHigh potential for emission reductionQuick charging (DC)
DisadvantagesHigh GHG emissions, energy-intensiveToxic wasteExperimental, not for large-scaleHigh material and energy inputs
Charging TimeN/AN/AN/A40–50 h (L1), 4–10 h (L2), 20 min–1 h (DC) [ ]
Mitigation StrategiesImprove recycling tech, use renewable energyRenewable energy, better waste managementTech advancements, scaling upSolar-powered stations, renewable integration
Material ComparisonDescriptionGWP of Traditional Tires (kg CO eq)GWP of Ecological Tires (kg CO eq)CO Reduction (kg CO eq)Cumulative Energy DemandNotesSource
Carbon Black vs. SilicaLifecycle comparison of carbon black and silica in tires12,166.1411,639.36526.78Lower with silicaSilica tires reduce rolling resistance and energy use. [ ]
Carbon Black vs. GrapheneReplacing carbon black with graphene in tire productionSimilar to carbon blackUp to 23.46% reduction with full replacementDepends on replacement levelLower with grapheneGraphene improves strength, thermal conductivity, and tire performance. [ ]
Tire Emission Control StrategyStrategy to minimize tire wear emissions in EVsNot applicableNot applicableOver 90% reduction in particulatesNot directly affectedStrategy improves comfort while reducing emissions. [ ]
Ref.FocusKey FindingsImplications
[ ]Battery swap technology (BST) adoption in China; user attitudes and safety concerns.BST alleviates range anxiety.Recommends policies to foster BST adoption for enhanced operational efficiency and user satisfaction.
[ ]EV routing approach incorporating battery health, addressing degradation and state of charge.Nuanced solution to routing by considering battery health.Supports fleet longevity and reliability, aligning with sustainable operational goals.
[ ]Predictive model for battery electric bus energy consumption; vehicular, operational, topological, and external parameters.Optimized routing and operational strategies for greater energy efficiency.Assists transit planners and fleet managers in designing sustainable and efficient urban transit networks.
[ ]Deep learning for precise battery State of Health estimation under varying conditions.Enhances safety and reliability of EV usage.Vital for maintaining EV performance and lifecycle sustainability.
[ ]Viability of electric heavy-duty vehicles in Icelandic conditions.Insights into infrastructural needs for wide-scale adoption.Highlights tailored solutions for cold climates to promote EV integration.
Ref.FocusKey FindingsImplications
[ ]Integration of renewable energy sources into EV charging stations; strategic placement.Highlights role in bolstering sustainability of EV ecosystems.Aligns with global renewable energy goals.
[ ]Optimization framework for EV charge scheduling.Enhances energy efficiency and cost-effectiveness.Emphasizes smart charging strategies for scalability and grid stability.
[ ]Smart charging coordination framework using AI.Improves efficiency and grid stability.Demonstrates AI’s transformative potential in EV charging.
[ ]V2G integration in EV sharing systems with stochastic optimization.Enhances profitability and socio-environmental outcomes.Highlights V2G’s potential to improve economic and environmental efficiency.
[ ]Comprehensive review of EV fast-charging technologies and infrastructure under various conditions.Strategic insights into charging infrastructure efficiency.Critical need for adaptable charging technologies for cost and performance optimization.
[ ]Tool for assessing the load shifting capabilities of EVs.Facilitates the exploration of flexible charging opportunities.EV fleets contribute to grid stability and energy efficiency.
Ref.FocusKey FindingsImplications
[ ]Strategic fleet electrification planning integrating vehicle adoption and infrastructure.Highlights economic and environmental benefits of coordinated efforts.Crucial for organizations transitioning fleets to electric.
[ ]Optimal scheduling balancing efficiency and infrastructure strain.Model minimizes peak charging demand.Balances technological advances with practical EV integration.
[ ]Tailored charging for electric buses optimizing efficiency under constraints.Personalized strategies enhance public transport efficiency.Custom solutions boost public transport efficiency.
[ ]Data-driven insights for tuning corporate EV fleet charging strategies.Guides planning via analytics.Emphasizes data in sustainable electrification strategies.
[ ]Solutions for routing and charging in mixed fleets.Optimizes logistics and charging tactics.Addresses the complexities of integrating EVs in logistics.
[ ]Operational implications of electric buses with different charging infrastructures.Assists public transit authorities in decision-making.Critical for advancing sustainable urban mobility.
[ ]Integrated energy management strategy for EVs and power grid interaction.Optimizes costs and energy use.Highlights EVs’ positive contributions to energy systems.
[ ]Scheduling strategy for electric buses considering travel times and energy needs.Enhances efficiency and reduces transit delays.Improves public transport fleet management.
[ ]Environmental impacts of various EV charging behaviors.Emission reduction through strategic scheduling.Advocates charging alignment with cleaner power periods.
[ ]Unsupervised learning for optimal placement of smart charging stations.Enhances strategic infrastructure planning.Supports urban planning integration of charging solutions.
[ ]Multi-agent deep deterministic policy gradient (MADDPG) for EV charging station recommendations.Streamlines charging process and optimizes travel time in smart environments.Supports efficient urban mobility and smart city infrastructure development.
[ ]Dynamic EV routing focused on mid-journey recharging needs.Enhances routing efficiency.Emphasizes need for adaptive urban electric mobility planning.
[ ]Economic benefits of V2G technologies considering advanced battery models and price volatility.Illustrates cost savings and operational benefits.Highlights V2G’s role in economic and energy resilience.
Ref.FocusKey FindingsImplications
[ ]Framework for managing electric drayage truck operations and charging at ports through dynamic programming.Optimizes logistics and charging, reducing costs and boosting cargo efficiency.Highlights smart software solutions’ potential in sustainable fleet management.
[ ]Innovative routing approach for a heterogeneous electric taxi fleet to maximize profitability and consider charging needs.Uses simulated annealing for scalability, enhancing operational efficiency and profitability.Demonstrates the role of algorithmic strategies in sustainable urban mobility.
[ ]Evolutionary algorithm for optimizing EV routing, addressing specific EV recharging needs.Shows the efficiency of tailored software solutions for electric fleet management.Points to more resilient and efficient urban transport systems.
Ref.FocusKey FindingsImplications
[ ]Framework for decarbonizing road logistics, focusing on alternative fuel vehicles including EVs.Explores socio-technical, economic, and environmental facets, offering a multidimensional approach.Guides policymakers and organizations in crafting strategies for sustainable transport goals.
[ ]Efficacy of carbon emissions regulations and pricing on fleet management.Highlights the tangible impact of regulatory strategies on emissions reductions.Offers perspective for organizations aligning with carbon regulations while optimizing operations.
[ ]Sustainable Transport Index to assess EV adoption policies in Tunisia.Offers insights into sustainability impacts of policy decisions.Underscores informed policy-making in fostering electric mobility.
[ ]Electrification of on-demand fleets in Chinese megacities, focusing on policy targets and charging coordination.Highlights the role of targeted policy interventions and strategic infrastructure planning.Provides insights for enhancing urban mobility solutions.
[ ]Role of transition intermediaries in steering the shift to low-carbon mobility.Emphasizes the importance of intermediaries in bridging policy intentions and implementation.Highlights their critical contribution to sustainable transport transitions.
[ ]Modeling impacts of transitioning higher education institution fleets to EVs, focusing on carbon footprint and economics.Provides a comprehensive view of institutional fleet electrification’s potential.Relevant policy and organizational strategy implications.
[ ]Sustainable framework for urban freight delivery with cargo cycles and electric vans.Aims to reduce delivery costs and environmental footprints.Explores innovative urban logistics strategies leveraging green transportation modes.
Ref.FocusKey FindingsImplications
[ ]Framework for efficient operation of electric ride-hailing fleets, including fleet rebalancing and optimized charging strategies.Highlights systemic benefits of integrated fleet and charging management.Provides actionable insights for urban mobility service providers.
[ ]Synergies between EV fleet integration and renewable energy sources in commercial transport.Emphasizes the need for harmonized energy and transport policies.Crucial role of renewable energy in supporting fleet electrification, enhancing EV sustainability.
[ ]Potential pathways for significant CO emission reductions in European road transport by 2050.Focuses on electrification and efficiency improvements, presenting a comprehensive overview of systemic changes required.Highlights the pivotal role of policy and regulatory frameworks in transitioning to a low-carbon transport sector.
[ ]Optimized vehicle routing strategy for cold chain distribution using mixed fleets, including EVs.Aims to minimize environmental impacts and operational costs.Forward-looking insights into green urban logistics, presenting a model for integrating EVs into specialized distribution networks for sustainable and efficient operations.
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Zaino, R.; Ahmed, V.; Alhammadi, A.M.; Alghoush, M. Electric Vehicle Adoption: A Comprehensive Systematic Review of Technological, Environmental, Organizational and Policy Impacts. World Electr. Veh. J. 2024 , 15 , 375. https://doi.org/10.3390/wevj15080375

Zaino R, Ahmed V, Alhammadi AM, Alghoush M. Electric Vehicle Adoption: A Comprehensive Systematic Review of Technological, Environmental, Organizational and Policy Impacts. World Electric Vehicle Journal . 2024; 15(8):375. https://doi.org/10.3390/wevj15080375

Zaino, Rami, Vian Ahmed, Ahmed Mohamed Alhammadi, and Mohamad Alghoush. 2024. "Electric Vehicle Adoption: A Comprehensive Systematic Review of Technological, Environmental, Organizational and Policy Impacts" World Electric Vehicle Journal 15, no. 8: 375. https://doi.org/10.3390/wevj15080375

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Transportation plays a crucial role in people's daily lives, but the heavy reliance on fossil fuel-based transportation systems has resulted in an enormous amount of greenhouse gas emissions. These emissions are major contributors to climate change, resulting in environmental degradation and posing significant health and well-being risks, particularly for low-income populations, underrepresented communities, and communities of color. Recognizing the urgency of addressing this issue, the global society has placed a high priority on decarbonizing various sectors, with transportation being a critical focus area. To achieve this goal, it is imperative to transition from gas-powered vehicles to zero-emission vehicles, represented by electric vehicles (EVs). However, the widespread adoption of EVs is hindered by factors such as the high cost of ownership, limited charging infrastructure, and disparity in incentives and accessibility. Existing literature reviews revealed that policies and regulations aimed at promoting EV adoption have primarily focused on specific target consumers, leaving other communities with limited access. Additionally, the equity aspects surrounding the EV ecosystem and the interrelationship between various equity indicators have received limited attention so far and require further consideration. To fill this void, this thesis proposes to identify key EV equity indicators and their corresponding factors from various sources and develop an equity relationship framework to evaluate EV equity. Further, by matching the electric vehicle supply equipment (EVSE) data to the US census data, we run numerical analyses to assess the availability and accessibility of EV charging facilities in different communities in space. Numerous managerial and policy recommendations related to EV infrastructure and programs in the field are reviewed for their feasibility, efficiency, effectiveness for the disadvantaged populations. Finally, we point out the limitations in the current practices for promoting equitable EV adoption and provide suggestions for future work.

  • PANDA, BHAGYASHREE
  • EV policy and Incentives
  • Charging accessibility
  • Electric vehicles
  • Transportation equity
  • Master's Thesis
  • In Copyright
  • Civil & Environmental Engineering
  • Xu, Zhengtian Dr
  • Manzari, Majid Dr.
  • Hamdar, Samer Dr.
  •  https://scholarspace.library.gwu.edu/etd/h989r4170

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Lafayette Formula Electric Vehicle 2017

Ece 492 – spring 2017, research proposal.

Below is the paper and presentation for the research proposal conducted this semester, which proposed a senior design project topic to be considered in future years.

Research Proposal Paper ( pdf ) ( docx )

Research Proposal Presentation ( pdf ) ( pptx )

Poster ( pptx )

IMAGES

  1. (PDF) Review on Electric Vehicles

    research proposal on electric vehicles

  2. electric vehicle report pdf

    research proposal on electric vehicles

  3. Research Proposal On Electric Vehicles

    research proposal on electric vehicles

  4. Top 75 ELECTRIC VEHICLE RESEARCH PROJECT Ideas

    research proposal on electric vehicles

  5. (PDF) A Review on Electric Vehicles: Technologies and Challenges

    research proposal on electric vehicles

  6. (PDF) Proposal for insertion of electric vehicles in the transport of

    research proposal on electric vehicles

COMMENTS

  1. PDF Charging the Future: Challenges and Opportunities for Electric Vehicle

    Electric vehicles (EVs) have advanced significantly this decade, owing in part to decreasing battery costs. Yet EVs remain more costly than gasoline fueled vehicles over their useful life. This paper analyzes the additional advances that will be needed, if electric vehicles are to sig-nificantly penetrate the passenger vehicle fleet. Battery Prices

  2. An Overview on Why Electric Cars Are the Future of Transportation

    estimated to be from Electric and Hybrids ("The Future is Electric," 2020). Countries are all working towards a plan to only Electric or Hybrid vehicles by. 2050 and China is leading the way with a total of 1.3 million sales in 2020. Researchers at JP Morgan estimate that it would increase upto 55% by 2025.

  3. (PDF) The electric vehicle: a review

    Abstract: Electric vehicles (EV), as a promising way to reduce the greenhouse. effect, have been researched extensively. With im provements in the areas. of power electrics, energy storage and ...

  4. PDF The Economics of Electric Vehicles National Bureau of Economic Research

    uctuated between $1.63/gal in December 2008 to $4.31/gal in March 2022. Gasoline prices also vary cross-sectionally due to s. ate-level regulations, excise taxes and proximity to refining capacity. Nationally, tax-inclusive gasoline prices averaged $3.10 per gallon in 2021, but varied from a low of roughly $2.75 per.

  5. (PDF) Emerging Technologies in Electric Vehicle ...

    Research Proposal PDF Available. ... Electric vehicle engineering represents a broad study field with main topics such as smart battery packs, battery management systems, wide-bandgap power ...

  6. Research Proposal: Future Concepts for User-Centric Electric Vehicle

    This research proposal outlines a comprehensive study on Future Concepts for. User-Centric Electric Vehicle Charging Integration, as part of the European research project EV4EU, to. address the ...

  7. Global Perspectives on and Research Challenges for Electric Vehicles

    This paper describes the characteristics of worldwide scientific contributions to the field of electric vehicles (EVs) from 1955 to 2021. For this purpose, a search within the Scopus database was conducted using "Electric Vehicle" as the keyword. As a result, 50,195 documents were obtained through analytical and bibliometric techniques and classified into six communities according to the ...

  8. Electric vehicles: A review of network modelling and future research

    Plug-in hybrid electric vehicle (PHEV) is one of the AFVs which can reduce GHG emissions. 2 The hybrid gasoline-EV is greatly promising in future since it can reduce gasoline consumption and GHG emissions from 30% to 50% without the need of changing the vehicle class. 4 However, a more widespread use of EVs is still hindered by the limited battery capacity, which allows cruising ranges ...

  9. A Review on Electric Vehicles: Technologies and Challenges

    Electric Vehicles (EVs) are gaining momentum due to several factors, including the price reduction as well as the climate and environmental awareness. This paper reviews the advances of EVs regarding battery technology trends, charging methods, as well as new research challenges and open opportunities. More specifically, an analysis of the worldwide market situation of EVs and their future ...

  10. Call for Proposals: Electric Vehicles in ASEAN: Total Cost of Ownership

    To support the study, ERIA decides to release 4 (four) topics of research in this Call for Proposal where Contractors can choose to build their and submit their research proposal: 3.1. Total costs of ownership (TCO) analysis of Electric Vehicles in ASEAN

  11. Electric Vehicle Adoption: A Comprehensive Systematic Review of ...

    This comprehensive systematic review explores the multifaceted impacts of electric vehicle (EV) adoption across technological, environmental, organizational, and policy dimensions. Drawing from 88 peer-reviewed articles, the study addresses a critical gap in the existing literature, which often isolates the impact of EV adoption without considering holistic effects.

  12. Towards Equitable Electric Vehicle (EV) Adoption: A Structural

    Further, by matching the electric vehicle supply equipment (EVSE) data to the US census data, we run numerical analyses to assess the availability and accessibility of EV charging facilities in different communities in space. Numerous managerial and policy recommendations related to EV infrastructure and programs in the field are reviewed for ...

  13. Aspects of artificial intelligence in future electric vehicle

    The transformation of current Fuel-based Vehicles (FVs) into Electric Vehicles (EVs) will have a prominent outcome in this regard (Singh et al., 2020). Electric vehicles will be the future of green recovery transportation systems and help decarbonize the environment without leaving individual mobility needs and demand behind (King et al., 2019).

  14. PDF Electric Vehicles: Battery Trends and Future Economics A Thesis

    population to invest in electric vehicles. Through generous subsidies given by governments around the globe to an increased importance placed on cleaner energy, there has been a very visible change in the perception of Electric Vehicles, corresponding with an increase in sales and Research and Development by automobile companies.

  15. Global Perspectives on and Research Challenges for Electric Vehicles

    Other research proposes an online electric vehicle (OLEV) center, a nd it has been commercialized in the Seoul Grand Park [61] . This proposal includes a wireless 10 0 kW

  16. Research Proposal

    Research Proposal. Below is the paper and presentation for the research proposal conducted this semester, which proposed a senior design project topic to be considered in future years. Research Proposal Paper ( pdf) ( docx) Research Proposal Presentation ( pdf) ( pptx) Poster ( pptx)

  17. PDF Charging Technologies and Its Future Development of Electric Vehicles

    as some start-ups, are spending a great amount of money on research and development of EVs. It is impossible to imagine Earth's green future without zero-emission cars. Electric vehicles in their great variety of forms are exactly what will be used everywhere soon. However, not everything is that good about electric cars nowadays.

  18. (PDF) Acceptance of Electric Vehicles: Analysis of ...

    Acceptance of Electric Vehicles: Analysis of developed and developing countries. Submitted by: Nikola Uskokovic. Student ID: 04705. A dissertation submitted for the Master of Business ...

  19. A Research Proposal On Electrical Vehicles

    The research proposal, therefore, aim at addressing an issue like government involvement can enhance improved use of EV, development of better EV batteries, energy management system and fast charging can help enhance the use of Electrical Vehicles and how electric vehicle drive train and the battery can be redesigned to make it affordable. The ...

  20. PDF Subject: Call For Proposal for Development of Electric Vehicles (EVs

    Smt. Sunita Verma, elhi-110003 Phone: +91-11-24364810 (Office) Email: sunita[at]meity[dot]gov[dot]inThe proposals should describe in details. idea, the proposed development plan along with the deliverables and timelines. The intelle. al Property Rights for the development work will be as per the policy of MeitY. Note: MeitY reserves.

  21. (PDF) Proposal for Modeling Electric Vehicle Battery ...

    PDF | On Jun 1, 2019, Juan D. Valladolid and others published Proposal for Modeling Electric Vehicle Battery Using Experimental Data and Considering Temperature Effects | Find, read and cite all ...

  22. New Proposal FOR Electric Vehicle

    Research Proposal. EVALUATION OF ELECTRIC VEHICLE (EV) BATTERY RECYCLING STRATEGIES; THEIR CHALLENGES AND POTENTIAL IMPROVEMENTS, IN THE UK. BY OKOH DANIELLA ONYEKACHUKWU (B00382156) Word count : Overall word count : Contents. Title -----

  23. Power Electronics in Electric Vehicles: A Comprehensive Overview

    Research Proposal. Full-text available. ... As electric vehicles (EVs) become integral to the future of transportation, ensuring reliable and high-performance connectivity is paramount. This paper ...