Electric Vehicle Technology Research Articles

Modeling and Control of a Dual Stator Multiphase Induction Motor for Electric Vehicle Technology

This paper presents the dynamic modeling and speed control of a Dual Stator Multiphase Induction Motor (DSMIM) in MATLAB/Simulink environment. The torque production and load sharing capability of the model is analyzed under free acceleration conditions when subjected to a frictional load profile. Its speed control operation is realized using the conventional V/f and vector based Indirect Field-Oriented Control (IFOC) methods. The torque and speed tracking ability of the machine with the chosen control techniques were simulated. The better dynamic performance of IFOC controlled DSMIM drive model establishes its utility in Electric Vehicles (EV) technology and research. Credibility of the proposed model in EV application is verified by testing it against the standard Modified Indian Drive Cycle (MIDC). The corresponding torque and speed waveforms obtained under the drive cycle analysis are illustrated. The proposed model well supports sudden load changes with a better load sharing competence.

A Comparative Study of the Development Trends and Competitive landscape of the Electric Vehicle Market in China and the United States

This paper will perform a comparison of the Electric Vehicle (EV) markets in China and the United States, focusing on the patterns of development and the competitive environment. It examines issues such as legislation updates, infrastructure investments, market expansion, and the strategies of leading car makers. China has shown electric vehicle adoption through aggressive public investments in charging infrastructure, large subsidies, and strong support for its local manufacturers like BYD and NIO, via their centralized government-led strategy. Without a doubt, it is China that holds the key to the current worldwide electric vehicle market. In contrast, the U.S. proposes a decentralized structure, with a mixture of federal tax encouragement, state-level programs, and private-sector advances as illustrated by Tesla's leadership in electric vehicle technology. Despite the considerable federal funding for charging infrastructure, the U.S. still trails China, as far as both EV sales and the scale of infrastructure, are concerned. This paper showcases the electric vehicle technological development patterns observed in both countries with their impacts on the energy transition globally.

A Comparative Study of Renewable Energy Vehicle Policies between China and Japan and Its Implications

Sustainable green development, with a particular emphasis on reducing carbon footprints, has emerged as a pressing global concern as nations endeavor to transition towards low-carbon economies. This paper focuses on China and Japan, two leading automobile nations that prioritize the development of New Energy Vehicles (NEVs) and Electric Vehicles (EVs) technologies. A comparative analysis of the EV and NEV policies in these two prominent Asian countries is conducted, delving into various aspects such as incentives, innovations, market promotion strategies, and the development of charging infrastructure. China's NEV industry has made significant strides due to robust government support, fostering a thriving ecosystem for electric vehicles. In contrast, Japan's government and market have adopted a more conservative approach, placing a strong emphasis on hybrid vehicles. While both countries excel in their respective areas of focus, limitations remain. China is continuously seeking more sustainable methods to advance its NEV sector, while Japan faces delays in transitioning from hybrid vehicles to fully electric models. To enhance future competitiveness and propel global efforts towards a low-carbon, sustainable future, this paper provides valuable policy suggestions tailored to the unique challenges faced by both countries.

Using X-ray Microscopy to Probe Failure Mechanisms in Anode-free Cells: An Industry Perspective

To meet the energy demands of future electric vehicle technologies, batteries with ever-increasing energy densities are desired. One promising technology is an anode-free lithium metal battery (AFLMB) cell, where lithium ions are deposited directly on the anode current collector, resulting in more energy dense cells relative to the current state-of-the-art lithium-ion battery cell. Nevertheless, anode-free cells are prone to early capacity degradation and cell failure. To better understand the degradation mechanisms in these devices, we present a methodology for assessing microstructural changes in battery cells that can be easily implemented within existing battery manufacturing facilities. We employed X-ray tomographic imaging and analyses on small format, AFLMB pouch cells. Anode thickness variations were characterized non-destructively by housing the pouch cells in fabricated pressurized jigs during both cycling and tomographic imaging. Additionally, we present a technique to measure cathode porosities and tortuosities at the end-of-life (EOL) with higher resolution X-ray imaging. The proposed methodology is able to accurately reproduce known microstructural behaviors in AFLMBs. At the anode, significant thickness changes are observed because of continuous electrolyte degradation and solid electrolyte interphase growth. At the cathode, large porosity changes are detected at the EOL, potentially owing to NCM (LiNixCoyMnzO2) particle cracking.

Improving efficiency of wireless charging system in electric vehicle using a hybrid ultracapacitor-battery energy storage approach

This research aims to enhance the efficiency of wireless charging systems in electric vehicles by integrating a hybrid ultracapacitor-battery energy storage solution. Traditional standalone battery-based energy storage systems in wireless charging often face sub-optimal charging efficiency, resulting in extended charging times and reduced energy transfer efficiency. To address this limitation, we propose a hybrid approach that combines the rapid charging capability of ultracapacitor (supercapacitor) with the long-term storage capacity of batteries. The optimal charging range is 0 cm to 2 cm, and the combined output voltage and current are 5 V to 12 V and 0.63 A, respectively. This hybrid energy storage system will significantly boost electric vehicles (EVs) charging efficiency. Our research involves experimental evaluation and data analysis to assess crucial parameters, including charging efficiency, energy transfer efficiency, and charging time. The experimental results are validated and compared against existing battery-only systems, shedding light on the advantages and limitations of the hybrid approach. This study contributes to the optimization of wireless charging systems, enhancing energy transfer efficiency, and promoting the broader adoption of wireless charging technology in electric vehicles.

Depreciation in the Electric Vehicle Transition: Sustainability of the Second-Hand Electric Vehicle Market

Electric vehicles (EVs) are revolutionizing road transport. They represented the most reliable and realistic option to decarbonize road transport in the last 10 years and look to be holding a promising future. EVs are in competition with internal combustion engine (ICE) vehicles, but they still have a lower performance, particularly in range, and they remain more expensive. To guarantee the EV development and make it a sustainable substitution to ICE vehicles, the EV industry and technology development had been mostly supported by governments’ subsidies. One of the main issues EVs are facing is that they depreciate much faster than ICE vehicles, principally due to rapid technological progress that drives the market on the one hand and, on the other, makes older EV models prematurely obsolete. The other variable that contributes to faster EV depreciation is subsidies. It is expected that the end of subsidies will bring the necessary leverage to slow down EVs fast depreciation due to the wider price gap between new and pre-owned EVs. Batteries, which make EVs a practical reality, play a major role in EV depreciation. Besides the possible degradation of EV batteries, the technology development and price drop give newer models better range at a lower cost. The second-hand EV market is a fair reflection of the fast depreciation of EVs; naturally, the two subjects should be studied correlatively. It may not be obvious to draw an obvious correlation, but it seems clear that the fast depreciation of EVs is one of the major reasons why the second-hand EV market is still minor. Depreciation is a major driver of the second-hand EV market. In this manuscript are presented the main aspects of EV depreciation, particularly those related to fast technological evolution, including batteries and subsidies, as well as the second-hand EV market.

The Real-Time Observation of Electric Vehicle Operating Points Using an Extended Kalman Filter

Electric Vehicles (EVs) are set to play a crucial role in the energy transition. Although EVs offer significant environmental benefits, their technology still faces major challenges related to performance optimization, energy efficiency improvement, and cost reduction. A key point to address these challenges is the accurate identification of the speed/torque operating points of the drive systems. However, this identification is generally achieved using mechanical sensors, which are fragile, bulky, and expensive. This paper aims to develop, implement, and validate a speed/torque observer in real time based on the Extended Kalman Filter (EKF) approach for an EV equipped with an Open-End Winding Induction Motor with Dual Inverter (OEWIM-DI). The implementation of the EKF is based on the state modeling of the OEWIM-DI, enabling the observation of the torque and speed using voltage and current measurements. The validation of this approach is conducted experimentally on the FPGA and DS1104 boards. The results show that this approach offers excellent performance in terms of accuracy, stability, and real-time response speed. These results suggest that the proposed method could significantly contribute to the advancement of EV technology by providing a more robust and cost-effective alternative to traditional mechanical sensors while improving the overall efficiency and performance of EV drive systems.

Battery Thermal Management System Using Phase Change Materials

This research paper explores the integration of Phase Change Materials (PCMs) into Electric Vehicle (EV) battery packs for enhanced thermal management. Through a comprehensive study involving design, simulation, and analysis using tools like ANSYS, the effectiveness of PCM integration in managing temperature profiles and heat dissipation within EV battery packs is evaluated. The research highlights the advantages of PCM-based thermal management over traditional air and water cooling methods, emphasizing improvements in battery performance, lifespan, and overall safety. The findings contribute valuable insights to advancing EV technology and sustainability, paving the way for more efficient and reliable electric mobility solutions.

Electric airport ferry vehicle scheduling problem for sustainable operation

This study discusses the challenges and solutions surrounding the scheduling of electric airport ferry vehicles (EAFVs) in the aviation industry. With the rise of electric vehicle technology and the push for sustainability, the adoption of EAFVs presents a significant opportunity for reducing emissions in airport ground transportation. However, scheduling EAFVs involves integrated considerations of operational scheduling and charging scheduling. To address these challenges, this study proposes a mixed-integer nonlinear programming (MINLP) model aimed at minimizing total costs associated with EAFV utilization while adhering to flight time window constraints and ensuring electric power availability. Furthermore, we transform the proposed MINLP model into a solvable mixed-integer linear programming model, facilitating its solution using off-the-shelf commercial solvers. To meet the requirements of the large international airport, we propose a stabilization approach for solving the large-scale instances. Finally, we further analyze the influence of crucial parameters, including the number of EAFVs deployed, the number of flights for servicing, and the charging power of charging facilities. Managerial policies are proposed for the airport managers based on the findings. This research addresses both theoretical and practical aspects, offering valuable policy recommendations for the effective EAFV management and providing a foundation for further exploration in EAFV scheduling. The findings contribute to the advancement of sustainable transportation practices in the aviation industry.

Developing an Innovative Seq2Seq Model to Predict the Remaining Useful Life of Low-Charged Battery Performance Using High-Speed Degradation Data

This study introduces a novel Sequence-to-Sequence (Seq2Seq) deep learning model for predicting lithium-ion batteries’ remaining useful life. We address the challenge of extrapolating battery performance from high-rate to low-rate charging conditions, a significant limitation in previous studies. Experiments were also conducted on commercial cells using charge rates from 1C to 3C. Comparative analysis of fully connected neural networks, convolutional neural networks, and long short-term memory networks revealed their limitations in extrapolating to untrained conditions. Our Seq2Seq model overcomes these limitations, predicting charging profiles and discharge capacity for untrained, low-rate conditions using only high-rate charging data. The Seq2Seq model demonstrated superior performance with low error and high curve-fitting accuracy for 1C and 1.2C untrained data. Unlike traditional models, it predicts complete charging profiles (voltage, current, temperature) for subsequent cycles, offering a comprehensive view of battery degradation. This method significantly reduces battery life testing time while maintaining high prediction accuracy. The findings have important implications for lithium-ion battery development, potentially accelerating advancements in electric vehicle technology and energy storage.

Demand management of plug-in electric vehicle charging station considering bidirectional power flow using deep reinforcement learning

The recent development in plug-in electric vehicle technology has increased its popularity. Plug-in electric vehicles are widely used for their environment-friendly nature and they contribute to the reduction in global warming. With the increasing number of plug-in electric vehicles, charging coordination becomes essential for managing the charging station demand. The random charging behaviour of plug-in electric vehicles makes it a difficult task. This paper proposes a novel demand management strategy of charging stations. The proposed strategy supports the grid and reduces its burden during peak load. Deep-Q network based deep reinforcement learning is used in the proposed strategy. It is a value based deep reinforcement learning algorithm that approximates the Q value function using deep neural network. The deep reinforcement schedules the charging and discharging of plug-in electric vehicles to optimize the cost and manage the charging station load. Deep reinforcement learning enhances charging coordination by dynamically optimizing charging schedules according to real-time conditions and user preferences, thereby increasing efficiency and better integration with the grid. The reward function in deep reinforcement learning is designed based on the power price and demand of the charging station. A discount factor is introduced based on the service time to make the charging coordination efficient. A case study using dynamic pricing is carried out to validate the proposed strategy. The results prove that the proposed strategy optimizes charging and discharging costs and manages charging station demand efficiently. It is also observed that the proposed strategy is fast and incurs less computational cost.

Simulation-based comparative analysis of different chassis configurations of hybrid fuel cell vehicle

This manuscript examines the chassis design of compact electric vehicles fueled by fuel cells, focusing on ensuring structural strength, optimizing weight, and integrating fuel cell systems. Consequently, a thorough design framework is created, which includes the selection of materials, study of the structure, and safety concerns. We employ advanced computational techniques and finite element analysis to create models and simulate numerous design scenarios, guaranteeing optimal performance under diverse operating circumstances. The chassis is designed to meet the precise needs of fuel cell systems, such as hydrogen storage and safety measures. The findings indicate that a meticulously engineered chassis can greatly improve the effectiveness and security of compact electric vehicles propelled by fuel cells. The findings contribute to the wider field of sustainable vehicle design and offer practical insights for future research and development in electric vehicle (EV) technology. Furthermore, this thesis asserts that incorporating fuel cell technology into the chassis design of compact electric vehicles offers a feasible route to achieve more sustainable and efficient urban transportation options.

Hybrid and Electric Vehicle (EV) integration in public transport: Challenges and opportunities

As cities worldwide grapple with the dual challenges of increasing urbanization and climate change, the integration of hybrid and electric vehicles (EVs) into public transport systems emerges as a critical solution. This article examines the multifaceted challenges and opportunities associated with adopting hybrid and EV technologies for buses and coaches. Key challenges include the high initial costs, the need for robust infrastructure, and concerns regarding vehicle reliability. Conversely, the transition offers significant benefits, such as substantial emissions reductions, improved operational efficiency, and enhanced public perception of sustainable practices. Through an evaluation of successful case studies from cities like London, Amsterdam, and Shenzhen, this article highlights effective strategies and outcomes achieved in the realm of public transport electrification. Ultimately, the findings underscore the necessity for collaborative efforts among stakeholders to drive the successful integration of hybrid and EV technologies, paving the way for a more sustainable urban mobility future.

Multi-level governance and modal thinking: Tensions in electric mobility transitions in European cities

Innovations around electric vehicle (EV) technology are viewed as a promising pathway to rapidly decarbonise transport systems in transition studies. However, the mobility histories and path dependencies that shape these transitions are spatially uneven both horizontally across different geographies and vertically between different scales of authority and responsibility. As such, they are rooted in the assumptions and power relations that underlay the policy processes of city and metropolitan governance. This study takes the novel approach of comparing these processes both horizontally between cities and vertically between levels of government. The analysis is based on 50 expert interviews with local and national actors involved in delivering policy related to electric mobility in four European cities: Bristol, United Kingdom; Oslo, Norway; Poznań, Poland, and Utrecht, Netherlands. In all four cities, national, inter- and supra-national pressures generate a perception among some interviewees that the transition to electric mobility, and particularly the electrification of private cars, is inevitable. Yet because modal thinking permeates urban transport policymaking, the majority of our experts define sustainable and just urban mobility as that involving modes other than the private car. A key contribution of this study is revealing this tension between national EV priorities and urban aims to reduce car traffic, which subconsciously influences local policymakers’ perceptions of the transition to electric mobility. The study also offers new insights into how city and metropolitan policymakers can be more inclusive, innovative, and locally-responsive in shaping policies for accommodating both EVs and new modes like e-scooters.

Evaluation of practicality of wireless charging for electric vehicles in the next 10 years

As the electric vehicle market is expanding rapidly due to the need for sustainable development; a solution is needed to deal with current problems related to electric vehicles, this includes relatively limited driving range, relatively lack of charging spots during busy season, and the inconveniences of plug-in charging, such as dealing with cables. Therefore, wireless charging technology capable of charging electric vehicles while they are in motion becomes a potential solution. Assessing whether this technology will be mass-applied in the future is crucial. Given the limited current research that evaluates the practicality of wireless charging technology for electric vehicles with a time scale, this article aims to assess the aspects of safety, cost, efficiency, materials, user acceptance and other factors to determine the likelihood of making wireless charging practical for electric vehicles in the next decade. Furthermore, by distributing questionnaires to electric and gasoline car owners to gather participants’ opinions and expectations on wireless charging for electric vehicles, statistical analysis of the questionnaire results; interview with a professor at Shanghai University who is an expert in magnets and electricity, conducting secondary research, this article concludes whether wireless charging technology for electric vehicles can be implemented in the decade or not. As an impact, this article includes a time scale by conducting an evaluation instead of implicitly mentioning the time scale.

Breaking through the Key Challenges to Further Electrification of Public Transport in Beijing

In recent years, with the improvement of people's awareness of environmental protection and the increasingly serious problem of urban traffic congestion, the Beijing Municipal Government has actively promoted the development of green transportation, among which electric buses, as a low-carbon, environmentally friendly and energy-saving mode of transportation, are regarded as an important measure to improve air quality and reduce pollution emissions, which has attracted much attention. As electric buses grow, so do the operational challenges of the promoted electric buses, including high initial investment costs, inadequate charging infrastructure, technical limitations in terms of vehicle range and charging speed, and a lack of more supportive policies and regulations. This paper summarizes and analyzes the current situation of electric buses in Beijing. And proposes to solve the challenges encountered in the operation of electric buses by implementing targeted strategies. For example, optimize government financial subsidy measures and implement diversified financial support; The government supports companies to carry out technological innovation and invest in R&D to enhance electric vehicle technology; further promote the construction of charging infrastructure and improve the level of charging services; Effectively deploy battery recycling; promote the integrated development of intelligent vehicles and networking, and accelerate the construction of intelligent public transportation systems; strengthening international cooperation and resource sharing; and the development of a comprehensive policy to promote and facilitate the electrification of public transport in Beijing. Inject new impetus into Beijing's sustainable urban development.

Innovative Feature Analysis of Electric Vehicle Technology, Charging Infrastructure, Power management, and Control Methods

Lowering the dependence on fossil fuels and reducing pollution from greenhouse gas (GHG) emissions is incredibly achievable through electric vehicle (EVs) technology. EV technology is an innovation that uses electricity, rather than fossil fuels, to power and refuel (recharge) vehicles. The adoption and development of EVs should lead to a decline in future demand for fossil fuels, which are finite in supply and exhaustible. Inherent challenges in EV technology, such as inadequate supply of critical minerals, power grid overload, battery technology constraints, extended charging durations, insufficient charging infrastructures, high initial costs, and limited driving range, must be addressed. The technology of charging infrastructures cannot be over-emphasized in EV technology. EV technology, charging infrastructures, vis-à-vis the impact of their integration into the grid is investigated. Effective control strategies and power management systems (PMSs) are required to optimize energy use to improve EVs' efficiency and lifetime. This research uses comprehensive analysis methods to assess various control strategies, PMSs, and their effects on EV integration into the grid.

The window of opportunity: a case study of the battery electric vehicle in Thailand

Purpose Thailand, although a late entrant, has emerged as a significant center for the production and export of internal combustion engine (ICE) vehicles in Asia. With the arrival of a disruptive battery-electric vehicle (BEV), this study aims to investigate whether Thailand can exploit this window of opportunity to leapfrog. Design/methodology/approach This paper uses data sourced from Thailand’s Department of Intellectual Property to analyze electric vehicle (EV) patent applications. This paper collected qualitative data and conducted interviews with several EV manufacturers. Findings Although Japanese automakers dominate essential EV technology patents, they trail behind Chinese automakers, which benefited from the Free Trade Agreement (FTA) in EV sales. The incumbents, Japanese and Western, choose to expand their production of hybrid electric vehicles (HEVs) and plug-in hybrid vehicles. ICE technology does not constrain new entrants, such as Chinese automakers, Japanese newcomers and Thai newcomers. Compared to Japanese carmakers stuck with ICE and HEV technologies, they have been transitioning to BEVs at a faster pace. BEV has opened the door for large Thai indigenous energy corporations to enter the automotive industry by focusing on niche areas (nonfour-wheel vehicles) and supporting businesses like charging stations. In summary, Thailand has successfully attracted foreign direct investment (FDI) into the EV sector, but it has not yet succeeded in developing indigenous technologies related to EVs. The Thai automobile sector fails to leapfrog because it is too tied up with Japanese automotive production networks and has an unfavorable FTA with China. Originality/value This study sheds light on the limitations of an industrial development strategy relying on openness to trade and FDI without adequately strengthening indigenous technologies and firms, as the country adopting the strategy fails to leapfrog when the window of opportunities created by disruptive technologies arrives.

A Review on Advanced Battery Thermal Management Systems for Fast Charging in Electric Vehicles

To protect the environment and reduce dependence on fossil fuels, the world is shifting towards electric vehicles (EVs) as a sustainable solution. The development of fast charging technologies for EVs to reduce charging time and increase operating range is essential to replace traditional internal combustion engine (ICE) vehicles. Lithium-ion batteries (LIBs) are efficient energy storage systems in EVs. However, the efficiency of LIBs depends significantly on their working temperature range. However, the huge amount of heat generated during fast charging increases battery temperature uncontrollably and may lead to thermal runaway, which poses serious hazards during the operation of EVs. In addition, fast charging with high current accelerates battery aging and seriously reduces battery capacity. Therefore, an effective and advanced battery thermal management system (BTMS) is essential to ensure the performance, lifetime, and safety of LIBs, particularly under extreme charging conditions. In this perspective, the current review presents the state-of-the-art thermal management strategies for LIBs during fast charging. The serious thermal problems owing to heat generated during fast charging and its impacts on LIBs are discussed. The core part of this review presents advanced cooling strategies such as indirect liquid cooling, immersion cooling, and hybrid cooling for the thermal management of batteries during fast charging based on recently published research studies in the period of 2019–2024 (5 years). Finally, the key findings and potential directions for next-generation BTMSs toward fast charging are proposed. This review offers an in-depth analysis by providing recommendations and potential solutions to develop reliable and efficient BTMSs for LIBs during fast charging.

Enhanced Wavelet Transform Dynamic Attention Transformer Model for Recycled Lithium-Ion Battery Anomaly Detection

Rapid advancements in electric vehicle (EV) technology have highlighted the importance of lithium-ion (Li) batteries. These batteries are essential for safety and reliability. Battery data show non-stationarity and complex dynamics, presenting challenges for current monitoring and prediction methods. These methods often fail to manage the variability seen in real-world environments. To address these challenges, we propose a Transformer model with a wavelet transform dynamic attention mechanism (WADT). The dynamic attention mechanism uses wavelet transform. It focuses adaptively on the most informative parts of the battery data to enhance the anomaly detection accuracy. We also developed a deep learning model with an improved Transformer architecture. This architecture is tailored for the complex dynamics of battery data time series. The model accounts for temporal dependencies and adapts to non-stationary behavior. Experiments on public battery datasets show our approach’s effectiveness. Our model significantly outperforms existing technologies with an accuracy of 0.89 and an AUC score of 0.88. These results validate our method’s innovation and effectiveness.