Electric Vehicle Technology Research Articles

Research and overview of wireless charging technology for electric vehicle

In recent years, in order to effectively reduce energy consumption, the development of electric vehicles has gained the attention of many countries. The wireless charging system of electric vehicles does not have exposed wires and connectors,meanwhile it can realize the indirect electrical power transmission between the grid and electric vehicles, it has gradually become an important direction of current research. This paper introduces the background of wireless charging technology in various countries, lists out the two types of wireless power transfer technology, and explains the current technology based on the principle of wireless charging for electric vehicles. Today's wireless charging technology is divided into near-field radiation power transfer and far-field radiation power transfer. The charging mode can be divided into dynamic charging and static charging. This paper illustrates the topology of compensation network used to adjust the frequency of the electromagnetic coupled resonant wireless charging system, and introduces the process of transmitting the grid voltage to the battery of electric vehicle through the inverter circuit and rectifying circuit. Finally, it analyzes the defects of current wireless charging technology and puts forward personal views for its solutions. Through the research, hope to provide some reference for the development of wireless charging technology for electric vehicles.

Static and dynamic wireless charging system for electric vehicle

Electrified transportation will help to reduce greenhouse gas emissions and petrol prices. Electrified transportation demands that a wide variety of charging networks be set up, in a user-friendly environment, to encourage adoption. Wireless electric vehicle charging systems (WEVCS) can be a potential alternative technology to charge electric vehicles (EVs) without any plug-in problems. This paper outlines the currently available wireless power transfer technology for EVs. In addition, it also includes wireless transformer structures with a variety of ferrite shapes, which have been researched. WEVCS are associated with health and safety issues, which have been discussed with the current development in international standards. Two major applications, static and dynamic WEVCS, are explained, and up-to-date progress with features from research laboratories, universities, and industries is recorded. Moreover, future upcoming concepts-based WEVCS, such as ‘‘vehicle-to-grid (V2G)” and ‘‘in-wheel” wireless charging systems (WCS) are reviewed and examined, with qualitative comparisons with other existing technology.

Public Opinion and Understanding of the Impact of Electric Vehicles: A UK Experience

The UK Government places pressure on the automotive industry to reduce carbon emissions by prioritising the manufacture of alternative fuel vehicles. Hence, electric vehicles (EVs) are a priority for the automotive industry given they emit minimal carbon emissions compared to petrol and diesel vehicles. Despite the continued improvement in the manufacture of EVs, issues regarding the viability and affordability of the vehicles influence the market for EVs. This paper explores opinions regarding (i) the viability and environmental impact of EVs as a replacement for petrol/diesel vehicles; (ii) the affordability of EVs; and (iii) knowledge and familiarity of the use of EVs. 130 respondents to a questionnaire, along with interviews with participants within the automotive industry inlcuding an owner of an EV, generally supported literature on the study of EVs. Findings of this research identified that views relating to the viability of EVs focussed on range anxiety, charging speeds and battery life. Views relating to the affordability of EVs are influenced by the initial purchase price of the vehicle, along with costs associated with the battery and charging point. Finally, it is clear that consumers with greater knowledge about EV technologies are more likely to embrace EVs.

Which Policies and Factors Drive Electric Vehicle Use in Nepal?

Electric vehicles (EVs) offer a viable technological solution for mitigating greenhouse gas emissions in the transportation industry, addressing pressing societal concerns regarding climate change, air pollution, and sustainable energy consumption. To effectively promote widespread adoption of EVs, it is crucial to understand consumer preferences and evaluate market dynamics. In Nepal, where proven fossil fuel reserves are absent, the government is actively working towards accelerating EV adoption, leveraging the nation’s significant hydroelectric power generation potential to fulfill EVs’ charging demands. To gain insight into consumer preferences and evaluate market dynamics regarding EVs in Nepal, this study employs a comprehensive approach. Stated preference data are collected through a meticulously designed survey, and sophisticated analytical techniques, namely, the mixed logit model and latent class model, are applied for estimation purposes. The results of this study show that potential EV consumers with small family sizes, lower monthly travel distances, heightened environmental awareness, and substantial knowledge about electric vehicles are more inclined to embrace EV technology. Notably, the study highlights that a reduction in the purchase price exerts the most significant influence on increasing consumers’ likelihood of adopting battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs). Market simulation results suggest that a policy mix scenario, encompassing a combination of supportive measures, proves more effective in promoting EV adoption compared to relying on single policy initiatives. Furthermore, through latent class estimation, the study identifies three distinct classes of consumers within Nepal, each exhibiting significant variations in preferences. Recognizing and addressing these variations within policy frameworks is crucial for the successful promotion and widespread acceptance of EVs in Nepal.

The state-of-the-art wireless power transmission technology in electric vehicles

Since the 21st century, people have been paying attention to energy and environmental protection issues, and the world is accelerating the development and promotion of new energy vehicles. At present, the mainstream charging method of new energy vehicles is wired charging, but this charging method has certain safety hazards. So using wireless charging technology can effectively make up for this shortcoming. This paper starts with the development history of wireless charging technology, and expounds the birth and development of wireless charging technology. Then three common wireless charging technologies are introduced. This article will introduce the three wireless charging technologies from their principle, topology and advantages and disadvantages. Secondly, by comparing the three wireless charging technologies, it is concluded that IPT technology is the most mature and widely used technology at present, at the same time, CPT technology is also promising. Finally, the technical challenges and development prospects of wireless charging technology are discussed.

Wireless power transfer technologies for electric vehicles: Principles, challenges and opportunities

Wireless power transfer (WPT) technology is a promising solution for charging electric vehicles, which have many advantages such as zero emissions, low noise, and convenience. This paper reviews the current state-of-the-art of WPT technology for electric vehicles, focusing on the classification, principle, advantages, and disadvantages of different WPT methods, such as capacitive WPT, inductive WPT, microwave WPT, and laser WPT. The paper also discusses the future trends and challenges of WPT technology, such as coil design, international standards, safety issues, multiple charging modes, and compensation networks. The paper aims to provide a comprehensive overview of WPT technology for electric vehicles and to inspire further research and development in this field.

Tracing evolutionary trajectory of charging technologies in electric vehicles: patent citation network analysis

Tracing evolutionary trajectory of charging technologies in electric vehicles: patent citation network analysis

A Systematic Review on Recent Advancement in Electric Vehicle Technologies

The automotive industry is undergoing a transformative shift towards electric vehicles (EVs) in response to environmental concerns and sustainability imperatives. This paper provides brief information about emerging technologies that are propelling this transition, shaping the future of sustainable transportation. Charging infrastructure developments have made EVs more practical and accessible to consumers. Artificial intelligence is playing a pivotal role in optimizing electric vehicle performance. The adoption of these emerging technologies not only extends the driving range of EVs but also brings about significant environmental benefits. This paper highlights the incredible potential of electric vehicles to revolutionize the automotive industry and address pressing environmental challenges, offering a promising vision of a more sustainable and eco-friendly transportation sector

Design optimization of electromagnetic shielding and charging efficiency for electric vehicle wireless charging system

Electric vehicle (EV) technology is rapidly advancing, yet the wireless charging system for EVs still faces challenges in terms of insufficient charging efficiency and electromagnetic safety. To overcome these obstacles, this study proposes a novel approach by integrating the double-ended charge-level capacitance charging model with a composite electromagnetic shielding scheme, resulting in the charge-level capacitance composite shielding charging model. Experimental verification confirms the effectiveness of the proposed composite electromagnetic shielding model, demonstrating superior shielding performance compared to conventional models. Furthermore, performance analysis of the suggested charge-level capacitance composite shielding charging model reveals a disk loss of 0.087 W, a transmission efficiency of 98.25%, and a magnetic induction strength of 9.09 T. Collectively, these comprehensive findings indicate that the proposed charging model offers enhanced charging performance and electromagnetic shielding capabilities, surpassing those of traditional models, and holds practical value for real-world implementation.

Comparison of decentralised fast-charging strategies for long-distance trips with electric vehicles

Despite noticeable improvements in electric vehicle (EV) technology, EV charging time remains high, and the lack of fast-charging infrastructure extends the travelling time for long-distance trips even further. Charging strategies to coordinate EVs’ charging plans dynamically will help reduce station waiting times. This paper aims to quantify and compare the performances of two decentralised strategies using regular information-sharing between EVs and stations to estimate future waiting time in charging stations accurately. The communication strategy relies only on the communication of optimal charging plan computed by EVs to stations without any reservation. In contrast, the reservation strategy enables additionally the booking of optimal charging time slots. In a dedicated multi-agent simulation framework, we tested both strategies on different levels of infrastructure saturation. The communication strategy shows the best performance especially when combined with more frequent charging stops.

Systematic analysis of advanced wireless charging technology for electric vehicles

With the development of electronic technology, more and more electronic devices in life are converted from wireless to wired. Electric toothbrushes, mobile phones around, and new energy vehicles on the road have all changed from traditional wired charging to wireless charging. Traditional charging methods have many disadvantages. Some of them may be mechanically aged, some may leak electricity, and some take up space. But wireless charging can optimize most problems. And it has higher safety and functionality. This paper expends on Capacitive Power Transfer (CPT), Microwave Power Transfer(MPT), Electromagnetic induction that the three mainstream wireless charging methods. The article introduces the working principles of the three wireless charging methods and their respective advantages and disadvantages. And through comparison, to provide a strategy for the method of choosing a wireless charging method.

Recent advances in wireless power transfer technologies for electric vehicles

In today’s society where electric vehicles are widely used, it is particularly important to make electric vehicles more efficient and convenient to charge. Wireless power transfer technology is becoming increasingly popular as a new type of charging technology. Different from conventional charging strategies, wireless power transfer becomes a hot topic in industry and academia due to the application possibility. It can not be ignored that this technology can also effectively reduce energy consumption. And the technology contributes to improve some environmental issues. Without doubt that it is a kind of beneficial clean energy source in today’s society. In this paper, the state-of-the-art wireless power transfer technologies are comprehensively review in terms of operation characteristics and optimization strategies. Meanwhile, a comparative analysis is given with different application scenarios, including the cost and power conversion efficiency. At the same time, the future perspectives for developing the wireless power transfer techniques are given.

Efficient self-driving control for lead vehicle following in a mixed traffic environment

Autonomous control for vehicles is rapidly developed since it not only improves the mixed traffic flow but also decreases the traffic accidents and the energy consumption. Especially self-driving technology has been attention since it progressively plays an important role in prompting comport driving condition as well as safety. In addition, eco-driving strategy is considered as the energy efficient driving technology of electric vehicles (EVs) since the eco-driving can increase the fuel economy of the limited power capacity of battery. This research introduces an energy efficient EVs control strategy with Model predictive control (MPC) and deep neural networks (DNN). MPC and DNN are combined to solve the optimal problem that is to minimize battery consumption and maximize the energy efficiency during self-driving. The estimated vehicle state information by DNN and the ratio of power consumption at the previous state are fed into the next state information of the MPC controller. Thus, the controller can optimize the energy consumption ratio with respect to the state values such as the vehicle state and the battery state of charge. The hybrid control algorithm was evaluated using PGDrive which is a virtual vehicle driving environment, and simulation results showed that the MPC controller with DNN can efficiently reduce the battery consumption and increase the energy efficient up to 1.7%.

Challenging Prevalent Solid Electrolyte Interphase (SEI) Models: An Atom Probe Tomography Study on a Commercial Graphite Electrode.

Lithium-ion batteries (LIBs) are the dominating energy storage technology for electric vehicles and portable electronic devices. Since the resources of raw materials for LIBs are limited and recycling technologies for LIBs are still under development, improvements in the long-term stability of LIBs are of paramount importance and, in addition, would lead to a reduction in the levelized cost of storage (LCOS). A crucial limiting factor is the aging of the solid electrolyte interphase (SEI) on the active material particles in the anode. Here, we demonstrate the potential of atom probe tomography for elucidating the complex mosaic-type structure of the SEI in a graphite composite anode. Our 3D reconstruction shows unseen details and reveals the existence of an apolar organic microphase pervading the SEI over its entire thickness. This finding is in stark contrast to the prevalent two-layer SEI model, in which organic compounds are the dominating species only in the outer SEI layer being in contact with the liquid electrolyte. The observed spatial arrangement of the apolar organic microphase promises a better understanding of the passivation capability of the SEI, which is necessary to expand the battery lifetime.

Sustainable development of electric vehicles in Nigeria: Charging stations, research and development, and the way forward in a situation of electricity inadequacy

Many nations have long been actively supporting the development of electric vehicles (EVs). The adoption of the sustainable development goals (SDGs) actions in that direction have been accelerated to ensure that the 24% of the CO2 emission of the transport sector is brought down to the barest minimum. The focus of this paper is on the necessary measures and effective ways of acquiring EV technologies for developing countries such as Nigeria. The steps needed towards the development of the EV sector in Nigeria and the research and development strategies needed to address the challenges facing Nigeria in its quest to build a formidable EV industry are x-rayed. Finally, the opportunity for energy diversification towards confronting the challenges occasioned by inadequate electricity supply and distribution on the EV value chain is identified and analysed with recommendations made on the way forward. Since the EV industry cannot be true of zero-emission until its source of electricity is of zero-emission, the inherent potentials of using renewable electricity in the form of hydrogen fuel cells and harnessing the potential for solar photovoltaics (PV) of about 210 GW and concentrated solar power of approximately 88.7 GW is highlighted and recommended for the evolving EV market in Nigeria.

Thermal and aging performance characteristics of pouch-type lithium-ion battery using heat pipes under nonuniform heating conditions

Lithium-ion (Li-ion) batteries are excellent energy storage technologies for electric vehicles. However, the performance and life cycle of a battery can be degraded by extremely high temperatures under nonuniform heating conditions. This study aims to investigate the performance improvement of a battery thermal management system (BTMS) using heat pipes (HP) under various heat generation conditions. The cooling performances of the BTMS using aluminum plates (AP) and HP were compared by analyzing battery temperature and life cycle while varying the discharge rate (C-rate) from 1C to 5C and the ambient and liquid temperatures from 25 °C to 40 °C. Furthermore, the nonuniform heat ratio, defined as the heat ratio between the tab and bottom of the battery, was introduced to emulate the uneven temperature distribution, ranging from 1 to 3. The average temperature (Tavg) increases of AP and HP decreased by 22.7 % and 32 %, respectively, compared with that using natural convection (NC). HP showed a much lower maximum temperature (Tmax) and temperature difference (ΔT) of the battery than AP, owing to the effective heat transfer using the heat pipe. During cyclic operation, HP maintained stable Tmax and ΔT within 34.3 °C and 4 °C, respectively. As the nonuniform heat ratio increased, Tmax increased significantly, which was more severe in AP than in HP. HP exhibited up to a 41 % higher normalized performance index of Tmax than AP. Additionally, with the nonuniform heat ratio increasing from 1 to 3 at a C-rate of 5C, the ΔT of AP and HP increased by 7.6 °C and 4.4 °C, respectively. Finally, the normalized equivalent full cycles of AP and HP at a nonuniform heat ratio of 3 and a C-rate of 5C decreased by 4.3 % and 1.6 %, respectively, compared to their performance under uniform heat.

Quality of Service and Associated Communication Infrastructure for Electric Vehicles

Transportation electrification is pivotal for achieving energy security and emission reduction goals. Electric vehicles (EVs) are at the forefront of this transition, driving the development of new EV technologies and infrastructure. As this trend gains momentum, it becomes essential to enhance the quality of service (QoS) of EVs to encourage their widespread adoption. This paper has been structured with two primary aims to effectively address the above timely technological needs. Firstly, it comprehensively reviews the various QoS factors that influence EVs’ performance and the user experience. Delving into these factors provides valuable insights into how the QoS can be improved, thereby fostering the increased use of EVs on our roads. In addition to the QoS, this paper also explores recent advancements in communication technologies vital for facilitating in-formation exchanges between EVs and charging stations. Efficient communication systems are crucial for optimizing EV operations and enhancing user experiences. This paper presents expert-level technical details in an easily understandable manner, making it a valuable resource for researchers dedicated to improving the QoS of EV communication systems, who are tirelessly working towards a cleaner, more efficient future in transportation. It consolidates the current knowledge in the field and presents the latest discoveries and developments, offering practical insights for enhancing the QoS in electric transportation. A QoS parameter reference map, a detailed classification of QoS parameters, and a classification of EV communication technology references are some of the key contributions of this review paper. In doing so, this paper contributes to the broader objectives of promoting transportation electrification, enhancing energy security, and reducing emissions.

Optimizing Energy Usage and Smoothing Load Profile via a Home Energy Management Strategy with Vehicle-to-Home and Energy Storage System

This study investigates an energy utilization optimization strategy in a smart home for charging electric vehicles (EVs) with/without a vehicle-to-home (V2H) and/or household energy storage system (HESS) to improve household energy utilization, smooth the load profile, and reduce electricity bills. The proposed strategy detects EV arrival and departure time, establishes the priority order between EV and HESS during charge and discharge, and ensures that the EV battery state of energy at the departure time is sufficient for its travel distance. It also ensures that the EV and HESS are charged when electricity prices are low and discharged in peak hours to reduce net electricity expenditure. The proposed strategy operates in different modes to control the energy amount flowing from the grid to EV and/or HESS and the energy amount drawn from the HESS and/or EV to feed the demand to maintain the load curve level within the average limits of the daily load curve. Four different scenarios are presented to investigate the role of HESS and EV technology in reducing electricity bills and smoothing the load curve in the smart house. The results demonstrate that the proposed strategy effectively reduces electricity costs by 12%, 15%, 14%, and 17% in scenarios A, B, C, and D, respectively, and smooths the load profile. Transferring valley electricity by V2H can reduce the electricity costs better than HESS, whereas HESS is better than EV at flattening the load curve. Transferring valley electricity through both V2H and HESS gives better results in reducing electricity costs and smoothing the load curve than transferring valley electricity by HESS or V2H alone.

International and Domestic Factors of Battery Electric Vehicle Technology Diffusion in Japan

International and Domestic Factors of Battery Electric Vehicle Technology Diffusion in Japan

Double-layer home energy management strategy for increasing PV self-consumption and cost reduction through appliances scheduling, EV, and storage

Maximizing self-consumption of the photovoltaic (PV) generation is an important factor to increase the penetration of PV in the residential grid. It can improve PV system profitability, save energy and reduce grid stress. This study proposes a double-layer home energy management strategy to increase PV self-consumption and reduce household electricity costs. The first layer involves rescheduling shiftable appliances to operate during surplus PV generation hours, while the second layer employs a multi-objective energy management strategy based on Jaya and particle swarm optimization (PSO) algorithms to optimize power exchange between the energy storage system (ESS) and electric vehicle (EV), with smart home. Six different scenarios are simulated to investigate the role of household appliances, ESS, and EV technology in increasing PV self-consumption. Results scheduling showed that the proposed strategy can increase self-consumption and reduce grid consumption by 17–41% and 27–78%, respectively, depending on the proposed scenarios. The double-layer strategy is found to be more effective than the single-layer approach, with significant economic benefits. The proposed method provides an efficient solution for improving PV system profitability, saving energy, and reducing grid stress. Thus, this study contributes to the development of sustainable energy management systems, paving the way for future research in this area.