In this article, the performance parameters of the electric vehicle were investigated, and its operating point was defined using the core components (Battery, Inverter, and Motor). The test vehicle 2023 Cadillac Lyriq, provided by General Motors Inc., was driven on specified road segments, and the real-time data were retrieved using the integrated controller area network architecture. The neoVI–Fire 2 tool was connected to the vehicle system, which records the dynamic data, and Vehicle Spy software was used to convert the data into a readable format. Finally, the vector electric vehicle operating point was proposed, and the corresponding behavior was interpreted. This methodology could assist researchers in understanding the dynamic behavior of electric vehicle parameters to develop integrated techniques which augment the performance in real time.

This is a follow-up discussion about the Chinese electric vehicle (EV) sector, in particular the relative prospects of traditional automotive manufacturers and new ‘species’, four years after our last conversation on this topic (Jiang & Lu, 2018). It is also a response to Murmann and Vogt's (2022) latest article, which goes beyond Teece's (2019) focus on dynamic capabilities and constructs a systematic framework of firm capabilities to understand the competitive dynamics during a transformational shift of products.

Electric vehicles (EVs) are very quiet at low speed, which can be hazardous for pedestrians, especially visually impaired people. It is now mandatory (since mid-2019 in Europe) to add external warning sounds, but poor sound design can lead to noise pollution, and consequently annoyance. Moreover, it is possible that EVs are not sufficiently detectable in urban areas because of the masking effect from the background noise. In this paper, we propose a method for the design of warning sounds that takes into account both detectability and unpleasantness. The method implements a multiobjective interactive genetic algorithm (IGA) for the optimisation of the characteristics of synthesised sounds. An experiment is proposed to a first panel of participants in order to define a set of Pareto efficient sounds. At the individual level, sounds obtained with the IGA are compared to different sound design proposals. Results show that the quality of the sounds designed by the IGA method is comparable to those provided by a sound designer. From the sounds of the Pareto set, a design recommendation method based on the probability distributions of the sounds’ characteristics is proposed. An external validation with a second panel of participants shows that these recommended sounds constitute relevant trade-offs when compared to other design proposals.

Economic incentives are in widespread use to stimulate the development of the electric vehicle industry. However, the distributional effects of such incentives have been subject to little empirical inquiry. This study examines how California’s electric vehicle rebate program impacts different income groups financially. Two effects are considered: the income distribution of rebate beneficiaries and the income distribution of the rebate payers. The results reveal that the overall net financial impacts of the electric vehicle rebate program are regressive: the benefit distribution is highly regressive while the cost distribution is slightly progressive. Recent efforts to improve the fairness of the rebate program do not alter our findings. Policy implications are discussed.

This paper deals with the numerical evaluation of the magnetic field emitted by a wireless power system (WPT) in an electric vehicle (EV). The numerical investigation is carried out using a finite element method (FEM) code with a transition boundary condition (TBC) to model conductive materials. First, the TBC has been validated by comparison with the exact solution in simple computational domains with conductive panels at frequencies used in WPT automotive. Then, the FEM with TBC has been used to predict the field in an electric car assuming the chassis made by three different materials: steel, aluminum, and fiber composite. The magnetic field source is given by a WPT system with 7.7 kW power level operating at frequencies of 85 or 150 kHz. The calculated magnetic field has been compared with the International Commission on Non-Ionizing Radiation Protection (ICNIRP) reference level demonstrating compliance for an EV with metallic (steel or aluminum) chassis. On the contrary, a fiber composite chassis is much more penetrable by magnetic fields and the reference level is exceeded.

We proposed and examined a microwave power transfer system for electric vehicles (EVs). In this system, electricity is transmitted from a transmitting antenna over an EV to a receiving antenna on the roof of the EV. We used a rectenna to convert the received microwave power to direct current power. The conversion efficiency of a rectenna array is affected by the input power level distribution, and we have to form a flat-topped beam pattern to increase the conversion efficiency. We conducted an experiment to form a flat-topped beam pattern by using a phased array antenna. In this experiment, the output power of each antenna element is uniform and cannot be controlled independently. Hence, we controlled only the output phases of each antenna element and formed a flat-topped beam pattern. The distance between the transmitting antenna and the receiving area is 6.45 m, and the receiving area corresponds to a space in which the azimuth and elevation are in the range of −5°–5°.

Electric vehicles (EVs) are becoming more popular due to concerns about the environment and rising gasoline prices. However, the charging infrastructure is lacking, and most people can only charge their EVs at home if they remember to plug in their cars. Using the principles of magnetic inductance and magnetic resonance, wireless charging (WC) could help significantly with these infrastructure problems by making charging secure and convenient. WC systems also have the potential to provide dynamic charging, making long road trips with EVs feasible and eliminating range anxiety. In this paper, we review the companies available in the literature that have developed electric vehicle wireless charging systems, automobile manufacturers interested in such technology, and research from universities and laboratories on the topic. While the field is still very young, there are many promising technologies available today. Some systems have already been in use for years, recharging public transit buses at bus stops. Safety and regulations are also discussed.

The technology of electrochemical energy storage (EES) is supposed to play a key role inthe near future for mobility systems characterized by electric vehicles as well as forstationary applications providing energy supply as they represent the interface betweentransport and energy networks. The performance of EES systems is closely linked to theapplied battery materials which contain metals often considered critical. For determiningcriticality of metals different approaches have been used which however evaluate suchmaterials for the economy as a whole. What has been missing up till now is the examinationof critical raw materials for individual technologies.Therefore it is intended to developa technology specific criticality indicator for battery materials.The focus of this paperis developing a method to indicate the significance of raw materials for electrochemicalactive materials used by lithium-ion batteries (LIB) which are currently very promisingEES for mobile and stationary applications. In order to implement this at first thefollowing three aspects were analyzed and put in relation to each other: importance ofelectrode materials, amount of metal in the active material and exploitable metalreserves. The combination of these factors resulted in a relevance index (RI) which allowsdetermining the relevance of raw materials in different types of LIBs. Based on this indexthe development of a technology specific criticality indicator has to integrate furtheraspects being the focus of future work.

Electric vehicles in Germany are expected to have an average lifetime of twelve years. During their long use-phase these vehicles rely on electricity from the power grid. A historic review shows that over the last twelve years the German electricity-mix has undergone a massive transition. Renewable energy sources are on the rise, while nuclear power is phased out. This trend is expected to continue. Since the environmental impacts of electric vehicles depend on the electricity-mix, this study performs a life cycle assessment that respects the transitions in the observed time-span. This study defines the new term “time-resolved LCA”, in contrast to conventional LCA- and dynamic LCA-methodology, as an LCA-approach which is based on statistical, time-resolved data. Time-resolved LCA aims at becoming a simple and feasible method to reduce model-uncertainty in LCA. The authors conclude that time-resolved LCA improves model-quality significantly. Most environmental impacts of electric vehicles decrease, when the more precise time-resolved approach is employed. Further implications of the new approach are outlined.