Wireless Charging for Electric Road Vehicles: Challenges and Opportunities in Standards, Technology, and Energy Management

Steven Wilkins･Arjan Eijk (TNO)･Sebastian Visser (DENSO)･Frank Willems (TNO)

Wireless charging (wireless power transfer, WPT) for electric road vehicles is moving from prototypes toward pilots and early products, motivated by convenience, automation readiness, and the potential to reduce battery size through opportunity charging and dynamic wireless power transfer (DWPT). This paper reviews key challenges and opportunities for static and dynamic WPT, focusing on interoperability and standardization (IEC 61980 family, SAE J2954, ISO 15118), core technologies (magnetic couplers, power electronics, alignment, safety sensing, EMC and EMF), and enabling energy management from vehicle to grid and fleet levels. We highlight where standards already provide a foundation and where gaps remain for scalable deployment, especially for DWPT and heavy duty applications.

Power Supply Technologies for Battery-Powered Trains

Yoda Hiroshi (Railway Technical Research Institute)

The deployment of battery-powered trains is expanding worldwide as a promising solution to accelerate decarbonization in non-electrified lines. This presentation provides an overview of the contact-based charging systems currently in commercial operation and introduces the development progress of wireless power transfer (WPT) technologies.

Electricity Consumption Estimation and Route Optimization for EV Trucks Using Machine Learning

Sota Endo (Ibaraki University)･Daiki Kudo (Isuzu Motors)･Tomoya Suzuki (Ibaraki University)

With the advancement of high-frequency logistics, the operational frequency of transport trucks is increasing, making the electrification of transport vehicles an urgent priority for achieving a decarbonized society. Therefore, by utilizing machine learning based on actual driving data from EV trucks, we aim to construct an energy consumption estimation model tailored to driving routes nationwide in Japan. This will enable route optimization to reduce the operating costs of EV trucks.

Development of a Solar Irradiance Estimation Method for Onboard PV Systems

Shuai Pei･Masaaki Yanagi･Toshio Hirota･Yushi Kamiya (Waseda University)

Due to shading from buildings and trees, solar irradiance received by onboard PV systems is lower than that of stationary PV systems. This study measured vehicle and fix-point irradiance under sunny and cloudy weather across various urban, suburban, and expressway routes. The measured data was analyzed to clarify how these diverse driving and weather conditions specifically influence the ratio between vehicle and fixed-point irradiance (V/F). Furthermore, a practical method for estimating vehicle irradiance was constructed with the insights obtained from this analysis.