Modeling Method for Optimizing Dynamic Wireless Charging Lane of Electric Vehicles

With the aggravation of energy crisis and environmental pressure, electric vehicles (EVs) are considered as an effective measure to reduce petrochemical resource dependence, combat climate change, maintain sustainable energy and environmental development and achieve the carbon peaking and carbon neutrality goals. The growing EV market, fueled by policy incentives, has led to increasing charging demands, posing challenges for charging infrastructure deployment and operation. “Range anxiety”caused by limited battery capacity and difficulties in finding available charging stations contribute to low accessibility and inconvenience for users. This issue has become the pain point of the EV industry, hindering the popularization of EVs. However, the maturation of dynamic wireless charging (DWC) technology has brought very promising solutions to the above problems. To provide a more comprehensive review perspective of the research field, this paper provided a comprehensive overview of DWC development and summarized the technical characteristics according to the advantages and their challenges. Then, from the dimensions of modeling method, decision variables, optimization objectives, constraints, model assumptions, solution algorithm and so on, this paper analyzed the optimal configuration model of dynamic wireless charging lanes (DWCLs) and enumerated the research results and test conditions at home and abroad. Finally, it summarized existing methods and technical issues in the dynamic wireless charging domain and offered insights into future prospects, including its impact on the power grid, charging load management, electricity market analysis, charging strategies, battery management systems, battery capacity prediction, battery equalization control, and interdisciplinary integration with autonomous driving technologies.