Adoption Of Electric Vehicles Research Articles

Socio-Economic Dynamics and Policy Implications for Electric Vehicle Adoption: A Micro-Level Study in NCR

Electric vehicles reduce pollution only if a high percentage of the electricity mix comes from renewable sources and if the battery manufacturing takes place at a site far from the vehicle use region. Industries developed due to increased electric vehicle adoption may also cause additional air pollution. The Indian government has committed to solving New Delhi’s air pollution issues through an ambitious policy of switching 100% of the light duty consumer vehicles to electric vehicles by 2030. This policy is based on vehicle grid interaction and relies on shared mobility through the electric vehicle fleet.

Smart allocation and sizing of fast charging stations: a metaheuristic solution

ABSTRACT The widespread adoption of electric vehicles (EVs) hinges significantly on effective network management, particularly the allocation and sizing of fast-charging stations (FCS) for EV users. Applying queuing theory based on M/M/c, the model seeks to identify the most effective number of chargers to minimise waiting time for electric vehicle users and ensure optimal utilisation of the FCS. The problem is formulated as a multi-optimisation problem where finding the optimal solution is done by implementing the non-dominated sorting genetic algorithm focusing on EV user satisfaction, voltage stability, and carbon dioxide emissions. Simulation results indicate that the model successfully enhances EV user satisfaction, environmental impact, and overall FCS utilisation. In a comparative analysis with state-of-the-art models, the proposed approach demonstrates a notable 40% improvement in EV user satisfaction and a significant 45% enhancement in FCS utilisation. This proves the effectiveness of the proposed model in optimising the performance of the network.

Emerging environmental justice issues at the intersection of transportation and electricity systems

Rapid decarbonization of the transportation system is needed to address global climate change, and electrification of the transportation sector will likely be an important strategy to achieve decarbonization goals. While electrification is an effective approach to reducing carbon emissions, it may result in environmental justice consequences that need to be tackled. We discuss four categories of related issues: air quality and health-related equity; technology access; equitable infrastructure development; and a just global supply chain. In regions where grid decarbonization is well under way, transport-related disparities in air quality and health are expected to decrease with electrification. In contrast, in regions that still rely heavily on coal generation, disparities may increase, putting further strain on low-income communities and people of color. The high upfront cost of electric vehicles and limited access to charging present additional challenges for achieving equity in transportation electrification. Meeting the electricity demand of a fully electric vehicle fleet will require rapid expansion of power generation, transmission, and distribution capacity, and the location and design of this infrastructure will have further impacts on communities where it is sited. Here, we offer a perspective on these emerging environmental justice issues at the intersection of transportation and electricity systems and provide policy recommendations and future research directions for electrified transportation. We suggest there is a need for policies targeting electrification and power sector decarbonization in tandem, assessment of barriers to electric vehicle adoption in different groups, development of strategies for community inclusion in infrastructure development decisions, and creation of frameworks to assess equity tradeoffs along the global supply chain supporting electric vehicles and renewable energy technologies.

Enhancing EV Charging Station Reliability and RAS Safety

The surge in electric vehicle (EV) adoption prompts companies to prioritize dependable charging station designs, despite hurdles in maintaining consistency. A newly proposed design, featuring 36 ports, employs both uniform and non-uniform arrangements, subjected to rigorous testing with systems ranging from 50 to 350 kW. Failure rates are projected through meticulous assessments based on MILHDBK217F and MILHBK-338B standards, employing binomial distribution and cost analysis to gauge port reliability and overall station success rates. This innovative design not only bolsters voltage stability but also curtails maintenance expenses by bolstering port reliability.In the realm of robotics and autonomous systems (RAS), Deep Reinforcement Learning (DRL) demonstrates exceptional prowess but grapples with the risk of unsafe policies, potentially resulting in perilous decisions. To address this concern, a novel study introduces a reliability evaluation framework tailored for DRL-driven systems, leveraging formal neural network analysis. This framework adopts a two-tiered verification strategy: firstly, by assessing safety locally using reachability tools, and secondly, by aggregating local safety metrics across various tasks to evaluate global safety. Empirical validation validates the efficacy of this framework in fortifying the safety of RAS.

A fast-charging/discharging and long-term stable artificial electrode enabled by space charge storage mechanism

Lithium‐ion batteries with fast-charging/discharging properties are urgently needed for the mass adoption of electric vehicles. Here, we show that fast charging/discharging, long-term stable and high energy charge-storage properties can be realized in an artificial electrode made from a mixed electronic/ionic conductor material (Fe/LixM, where M = O, F, S, N) enabled by a space charge principle. Particularly, the Fe/Li2O electrode is able to be charged/discharged to 126 mAh g−1 in 6 s at a high current density of up to 50 A g−1, and it also shows stable cycling performance for 30,000 cycles at a current density of 10 A g−1, with a mass-loading of ~2.5 mg cm−2 of the electrode materials. This study demonstrates the critical role of the space charge storage mechanism in advancing electrochemical energy storage and provides an unconventional perspective for designing high-performance anode materials for lithium-ion batteries.

BM-RCWTSG: An integrated matching framework for electric vehicle ride-hailing services under stochastic guidance

Electric vehicles (EVs) are playing an increasingly vital role in sustainable ride-hailing services, primarily due to their potential to reduce carbon emissions and enhance environmental well-being. A core service of ride-hailing platforms is to match riders with nearby drivers within a short time window. In this mandate, it is crucial to ensure a high matching rate and low rider waiting time since these are key indicators of customer satisfaction and the platform’s operational effectiveness. However, existing matching mechanisms in the literature failed to consider important aspects related to EVs, including the range limit, charging detour time, and charging waiting time. These factors can significantly affect the system matching rate, rider waiting time, and vehicle utilization rate. To address the new challenges of the increased adoption of EVs in ride-hailing services, we propose a data-driven stochastic optimization framework for EV ride-hailing matching. The proposed framework integrates two stochastic optimization models, namely the stochastic guidance (SG) model and the EV matching (EVM) model. The SG model optimizes EV relocation and improves the system matching rate by proactively guiding idle EVs to the designated regions based on probabilistic rider demand forecasting. The EVM model utilizes the relocated EVs and current rider demands to provide the optimal matching solution that minimizes the overall cost associated with rider waiting time, EV charging waiting time, and charging detours. We conduct experimental validation of this approach using two real-world data sets from New York City. Comparative results suggest that by utilizing the proposed framework, the matching rate can be increased up to 22.9%, and the rider and EV waiting times can be reduced up to 14.9% and 73.6%, respectively, compared to the benchmark models.

Determinants of electric vehicle adoption: insights from Indian states

PurposeElectric Vehicles (EVs), owing to their low carbon emissions, have gained immense importance in achieving net-zero emissions by 2070. They have also appeared as viable substitute to conventional vehicles. Aligning with global initiatives, India has created a favourable ecosystem and has implemented several policies since 2011 to achieve its target. Consequently, the market share of EVs has surged, both globally and in India, over the past decade. Taking this into account, this study aims to identify the factors that influence EVs in a developing economy using the context of India.Design/methodology/approachThis study identified important determinants of EV adoption from global literature and employed a multiple linear regression model (MLRM) using the ordinary least squares (OLS) technique. Secondary data were utilised to identify determinants in the Indian context, sourced from the Ministry, NITI Aayog, AQI, the Lok Sabha Question, and the Economic Survey of India.FindingsThis study found that the number of charging stations and local pollution levels significantly influence EV adoption in India. The insignificance of the other variables may be due to the emerging state of the Indian EV market.Originality/valueThis study adds to the growing body of literature on EV adoption in developing economies by analysing the factors that impact its adoption using regional data. In addition, this study provides a unique perspective on a developing economy and advocates a comprehensive policy for EV adoption that reflects long-term sustainability.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2023-0479.

Power flow and reliability analysis of a non-isolated PV/grid connected quasi resonant converter for off-board EV charging station

ABSTRACT Growing awareness of greenhouse gas emissions and exhaustion of fossil fuels leads to the adoption of electric vehicles (EVs). However, the major limitations with respect to EV technology are the driving range and charging time. Also, the proliferation of EVs overloads the power grid and paves the way of incorporating renewable energy sources and energy storage devices. The use of multiple sources necessitates the deployment of compact, low-cost, and high-power electronic converters. This paper proposes a novel configuration of a Multi-Source Non-Isolated Quasi-Resonant Converter (MSNQRC) to overcome the limitations in the charging infrastructure. Due to the presence of a quasi-resonant network, the proposed MSNQRC with a single switch can achieve high voltage gain even at low-duty cycles, provide continuous current and low voltage stress. In addition, this paper elaborates on the parametric design of the converter along with PV modeling based on load ratings and the reliability research of MSNQRC by analysing component failures. A prototype model of 300W is built to verify the efficacy of the designed converter model. The results thus obtained validate the designed model and prove that the proposed system can be used for off-board battery charging systems.

Wireless Charging System for Electric Vehicles

This paper presents a comprehensive review of wireless electric vehicle (EV) charging technologies, focusing on the advancements, challenges, and prospects in this domain. With the increasing adoption of electric vehicles globally, the demand for efficient and convenient charging solutions has grown significantly. Wireless charging offers promising opportunities to enhance the user experience by eliminating the need for physical connections between the charger and the vehicle. This review discusses the underlying principles of various wireless charging technologies, including inductive charging, resonant charging, and capacitive charging. Furthermore, it examines the key components and system architectures involved in wireless EV charging systems. The paper also addresses the technical challenges such as efficiency, alignment, safety, and interoperability that must be overcome to realize the widespread deployment of wireless charging infrastructure. Additionally, the regulatory and standardization efforts governing wireless EV charging are discussed, along with their implications for market adoption. Finally, the review provides insights into future research directions and potential applications of wireless EV charging technology, including dynamic charging systems and integration with smart grid networks. Overall, this paper serves as a valuable resource for researchers, engineers, and policymakers interested in understanding the current state and future prospects of wireless electric vehicle charging.

Clean energy synergy with electric vehicles: Insights into carbon footprint

This study empirically examines the impact of Electric Vehicles (EVs) and clean energy adoption on carbon footprints. With growing concerns over climate change and the need to reduce greenhouse gas emissions, the transition to electric vehicles and clean energy sources has gained significant attention as potential solutions. This research investigates the relationship between the adoption of EVs and clean energy technologies and their subsequent effect on carbon footprints. The study applied the Generalised Method Moments (GMM) on the data sourced from the International Energy Agency (IEA) and the World Development Indicators (WDI) for the period 2011–2021 covering 27 countries. The findings reveal a strong correlation between the adoption of EVs and reductions in carbon footprints. It shows that a 1 % increase in renewable electricity output would result in a 0.5 % decline in carbon footprints. This implies that, as EV sales increase, the overall carbon emissions from the transportation sector decrease, primarily due to the lower emissions associated with electric vehicles compared to conventional internal combustion engine vehicles. Additionally, the study finds that the integration of clean energy sources into the electricity grid further contributes to carbon footprint reductions. The use of renewable energy in charging EVs minimizes the indirect emissions associated with electricity generation. The research concludes that the widespread adoption of EVs and clean energy sources has the potential to significantly reduce carbon footprints and mitigate the impact of climate change. However, it emphasizes the importance of continued technological advancements, increased availability of charging infrastructure, and supportive government policies to accelerate the transition towards a low-carbon transportation and energy system. Therefore, the study highlights the need for collaborative efforts among governments, industry stakeholders, and individuals to foster sustainable practices and achieve a more environmentally friendly future.

Identifying social tipping point through perceived peer effect

While recent research has advanced our conceptual understanding of social tipping points, empirical studies are called for to support and advance the theories. Here, we present a conceptual method to identify whether a tipping point exists and its possible location, in terms of peer effects on green technology adoption. This conceptualization is tested using Shanghai's adoption of electric vehicles. By analyzing self-reported individual levels of threshold in 1,111 valid completes through an online survey, we estimate that the perceived social tipping point in Shanghai falls between 31 and 40 % of peers adopting EVs. Beyond this level, a self-sustaining uptake can be anticipated. Mediation analysis reveals that peer learning and conformity to social norms underpin such peer effects. We discuss the relative importance of peer effects in triggering a broader transition, and find that other factors, such as technology, infrastructure, and policies, are critical for creating an enabling environment to induce positive cascades.

Battery-powered bargains? Assessing electric vehicle resale value in the United States

The resale market will play a critical role in expanding plug-in electric vehicle (PEV) adoption to middle- and lower-income households. Understanding PEV depreciation trends in comparison to those of conventional gasoline vehicles (CVs) is critical for assessing PEV affordability and informing relevant policy, such as subsidies for used PEVs. We deliver comprehensive, high-resolution estimates of value retention rates at the make-model level in the United States for battery electric vehicles (BEVs), plug-in hybrid electric vehicles (PHEVs), hybrid electric vehicles (HEVs), and CVs using a database of 9 million used cars listed online between 2016 and 2022. While BEVs and PHEVs have depreciated at faster rates than CVs, this trend is changing, with newer model year BEVs and those with larger ranges have significantly higher retention rates than older model years with smaller ranges. Tesla BEVs are a notable exception following the opposite trend, with earlier model years holding their value better than newer model years. Subsidized BEVs in the new market are associated with lower prices for the same model in the resale market, with the $7500 federal subsidy translating to a 3% lower resale price on average. Finally, disruptions from the COVID-19 pandemic have affected affordability across all vehicles, with mean listing prices rising 37% and 39% for CVs and BEVs, respectively, from January 2020 to March 2022 in inflation-adjusted 2019 dollars.

Effectiveness of policies for electric commercial vehicle adoption and emission reduction in the logistics industry

Electric commercial vehicles (ECVs) offer a promising solution to reduce carbon emissions, but barriers like high purchase costs, limited range, long charging times, and battery degradation hinder their adoption. This research develops a mathematical model to explore the impact of government policies, specifically carbon tax policy and the cap-and-trade mechanism, with or without purchase subsidy, on the mixed fleet configuration of electric and internal combustion commercial vehicles. Through a comparative analysis based on a real case in Shenzhen, this research provides insights into the impact of policies on ECV adoption and emission reduction. The findings indicate that higher tax rates and carbon prices effectively promote ECV adoption, while the carbon emission quota does not. When choosing policies, the government should consider its situation and objectives. Combining cap-and-trade mechanisms with purchase subsidies is the most effective for ECV adoption and emission reduction, assuming financially feasible. Alternatively, implementing a carbon tax policy without purchase subsidy is more practical. The cap-and-trade mechanism in the long term supports the phase-out of purchase subsidies and contributes to sustainable economic and environmental development. What's more, the findings provide guides for the government to determine an appropriate industry regulator factor when allocating quotas for the logistics industry.

Multi-objective optimization for multi-stage constant current charging for Li-ion batteries

Fast charging is a key challenge for the widespread adoption of electric vehicles (EVs), as it can make EVs more convenient and appealing to consumers. Therefore, different charging methods are proposed to enhance the performance of lithium-ion batteries (LIBs). Multi-stage constant current (MSCC) charging can improve LIB's performance in several aspects, including charging time, charged capacity, temperature rise, average temperature rise, and charging energy efficiency. However, achieving a multi-objective performance during LIB charging is challenging. In this paper, the Taguchi method is used to determine the multi-objective optimal (MOO) charging profile for the MSCC charging strategy. The Orthogonal experiments are designed and conducted to find the optimal solutions for each performance parameter for a five-stage constant current (5SCC) charging profile. A comparison is conducted among the performance-based selective charging profiles to validate the optimal charging profile. Furthermore, a comparison is made between the obtained MOO charging profile and the classical equivalent constant current constant voltage (CCCV) method. Experimental results demonstrated that the MOO charging profile reduces the charging time with comparable temperature rise to the CCCV, making it promising for the future alternative efficient EV charging. These findings highlight the effectiveness of the MSCC approach in improving LIB performance.

Effect of fast charging on degradation and safety characteristics of lithium-ion batteries with LiNixCoyMnzAl1-x-y-zO2 cathodes

Fast charging compatibility is an important technical aspect required of advanced lithium-ion (Li-ion) batteries to lead the revolution and increase the adoption of electric vehicles. Although substantial material-level innovations have greatly promoted the widespread employment of fast charging rates for Li-ion batteries, the unfavorable rapid degradation and cell-level thermal instability are still bottlenecks for commercial success. In this study, fast-charging induced aging mechanisms and thermal safety characteristics of Li-ion batteries with quaternary energy-dense LiNixCoyMnzAl1-x-y-zO2 (NCMA) cathodes are comprehensively investigated. Promising fast-charge strategies under different thermal environments are applied to reveal their specific adverse side effects on electrochemical performances and cell lifetime. Post-mortem analysis is conducted to understand the distributions, microstructures, and chemical states of electrodepositions on cell components. Cell-level thermal safety evaluations are carried out based on accelerating rate calorimeter tests to determine evolutions of thermal safety hazards as a result of imposed fast charging conditions. This research highlights the significant role of lithium plating and aluminum dissolution in accelerating the thermo-electrochemical failure of the chosen NCMA-based Li-ion chemistry, providing new insights on degradation-safety interactions and effective mitigation strategies under fast charging conditions.

Minimizing the Impact of Electric Vehicle Charging Station with Distributed Generation and Distribution Static Synchronous Compensator Using PSR Index and Spotted Hyena Optimizer Algorithm on the Radial Distribution System

This research investigates the impact of electric vehicle charging station on power loss, voltage stability, and reliability within radial distribution systems. With the escalating use of electric vehicles, understanding these effects is crucial for ensuring the stability and efficiency of radial distribution systems infrastructure. The study formulates the electric vehicle charging station allocation problem as a multi-objective function, integrating power loss, voltage stability, and reliability metrics expressed as the PSR index. Using the IEEE 69-bus system as a test system, the research explores the ramifications of electric vehicle charging station integration and proposes strategies to mitigate their effects. An innovative combination of distributed generation and distribution static compensator are employed to alleviate the impact of electric vehicle charging station on radial distribution systems. A recent optimization methodology called spotted hyena optimizer algorithm is introduced to determine optimal electric vehicle charging station locations, with results compared to other existing algorithms. The study assesses potential power losses induced by additional electric vehicle loads, explores strategies to optimize charging rates for minimizing resistive losses, and evaluates voltage stability and reliability implications. The important results include objective function values obtained using various algorithms: Spotted hyena optimizer algorithm (0.7683), cuckoo search algorithm (0.7709), bat algorithm (0.8035), and African vultures optimization algorithm (0.7856). The findings demonstrate that the proposed algorithm outperforms other algorithms in minimizing the objective function value, indicating its efficacy in optimizing electric vehicle charging station placement within radial distribution systems. In conclusion, this research contributes valuable insights into the challenges associated with integrating electric vehicle charging station into radial distribution systems and provides innovative solutions for optimizing electric vehicle charging station placement, thereby advancing the understanding and management of distribution systems in the context of electric vehicle adoption.

Optimizing Electric Vehicle Battery Management Systems for Enhanced Performance and Efficiency in the Automotive Sector

Automotive means of transportation has become the major and cheapest means transportation in Nigeria. This fact has put more pressure on manufacturers to provide customers with high quality Automobiles with the aim of making profits. Nowadays, manufacturers are faced with a major problem in the management of information within a manufacturing plant and creation of effective relationship with customers. As an approach to solving these problems, a detailed analysis is carried out on the existing system to find out the strength and weaknesses of the existing system. And based on the requirements generated, the new system is designed. An Object Oriented design approach is used to describe the various units (modules) that make up the system in terms of classes and objects. The design and development of an Automotive Plant Management system for a manufacturing company is a project developed with PHP, MySQL, Ajax, HTML, JavaScript and Jquery Plugins, it provided better and more efficient management of information generated from Human Resource, Inventory, Company Finance and also Customer Relationship Management In recent years, the surge in the adoption of electric vehicles has played a vital role in reducin fossil fuel consumption and greenhouse gas emissions. However, limited cross-national research has been conducted on the determinants of electric vehicle adoption in developing and developed countries. This study examines the factors influencing the intention to adopt electric vehicles in India (378 participants) and Spain (265 participants). This study develops an integrated model that combines the unified theory of acceptance and use of technology (UTAUT2) and the value-belief-norm (VBN) model while accounting for the impact of national culture. The model is tested using structural equation modeling. The results indicate the integrated UTAUT2-VBN model is a valuable tool for explaining the differences in adoption intention across cultures. Moreover, the national cultural system plays a significant moderating role in most relationships within the model. This study offers valuable insights into the factors influencing electric vehicle adoption in different cultural contexts, which can inform policies and strategies to promote sustainable transportation.

Wireless Charging of Electric Vehicle on Highways in Running Mode by Solar Energy

Abstract: The adoption of electric vehicles (EVs) is on the rise globally, driven by the need for sustainable transportation solutions to mitigate climate change and reduce dependence on fossil fuels. However, the infrastructure for charging EVs remains a significant challenge, hindering widespread adoption. In response, innovative approaches such as wireless charging technology, coupled with solar energy, have emerged to address these challenges. This paper presents an overview of wireless charging systems for electric vehicles, integrated with solar energy, aiming to provide a sustainable and convenient solution for EV owners. The integration of wireless charging and solar energy offers numerous benefits, including convenience, efficiency, and environmental sustainability. By eliminating the need for physical connections and harnessing the power of the sun, electric vehicles can be charged seamlessly and sustainably, reducing reliance on the grid and lowering carbon emissions. This paper discusses the principles behind wireless charging technology, the design considerations for integrating solar energy, and the potential impact on the future of sustainable transportation. Additionally, it addresses the challenges and opportunities associated with this innovative approach, highlighting the need for further research and development to realize its full potential. Overall, the convergence of wireless charging technology with solar energy represents a promising solution to the challenges facing the widespread adoption of electric vehicles, contributing to a cleaner and greener transportation ecosystem.

International EV policies: A comparative review of strategies in the United States and Nigeria for promoting electric vehicles

This paper provides a comprehensive comparative analysis of the strategies employed by the United States and Nigeria in promoting electric vehicles (EVs) within their respective national contexts. As the world shifts towards sustainable energy solutions, EVs have emerged as a pivotal component in reducing greenhouse gas emissions and mitigating climate change. Drawing upon a range of scholarly literature, governmental reports, and policy documents, this study examines the policy frameworks, incentives, and challenges faced by both countries in fostering the adoption of EVs. In the United States, a diverse array of federal, state, and local initiatives have been implemented to incentivize EV adoption, including tax credits, rebates, infrastructure investments, and regulatory mandates. Moreover, collaborations between the government, industry stakeholders, and research institutions have facilitated technological advancements and market growth in the EV sector. However, challenges such as range anxiety, high upfront costs, and inadequate charging infrastructure continue to impede widespread adoption. Conversely, Nigeria, while grappling with its own set of socio-economic and infrastructural challenges, has exhibited a nascent interest in promoting EVs as part of its broader sustainable development agenda. Despite lacking a comprehensive national policy framework, various initiatives such as tax exemptions, import duty waivers, and pilot projects have been introduced to stimulate EV uptake. Moreover, Nigeria's abundant renewable energy resources offer a promising opportunity for leveraging EVs to enhance energy security and reduce dependence on fossil fuels. Nevertheless, significant barriers such as limited infrastructure, affordability constraints, and institutional capacity gaps pose formidable obstacles to scaling up EV adoption in the country. By juxtaposing the experiences of the United States and Nigeria, this study contributes valuable insights into the diverse approaches and lessons learned in crafting effective international EV policies amidst varying socio-economic contexts. Through a nuanced understanding of the policy landscape, policymakers, industry stakeholders, and researchers can identify strategies for overcoming barriers and accelerating the transition towards a sustainable transportation paradigm.

A FEASIBILITY ANALYSIS OF ZERO-CARBON EMISSION THROUGH ELECTRIC VEHICLE

The transition towards zero-carbon emissions represents a critical imperative in combating climate change and promoting sustainable development. This master thesis project explores the feasibility of achieving zero-carbon emissions through the widespread adoption of electric vehicles (EVs). Framed within the context of entrepreneurship and innovation, the study examines the current trends, challenges, and opportunities surrounding EVs and green energy initiatives. A comprehensive literature review highlights the environmental, performance, and cost-related disparities between EVs and traditional gasoline-powered vehicles, while also identifying key barriers to adoption such as range anxiety and infrastructure limitations. Employing a mixed-methods approach, the research synthesizes secondary and primary data sources to propose strategic interventions aimed at accelerating EV adoption, including the establishment of residential charging stations, mobile EV charging units, and discounted charging infrastructure. Furthermore, the study advocates for the development of a centralized application to streamline EV charging accessibility and utilization. By addressing these challenges and implementing targeted solutions, this thesis underscores the pivotal role of innovation and collaboration in realizing a future powered by zero-carbon emissions through electric mobility.