As society advances towards sustainable development, electric vehicles (EVs) have emerged as a crucial component of green transportation, gradually becoming the core of the transportation sector. The drive technology of electric vehicles is key to achieving high efficiency, long-range endurance, and low carbon emissions. For instance, high-efficiency electric motor technology enhances power performance, intelligent electronic control systems optimize energy efficiency, and innovative battery technologies can significantly improve range and charging efficiency. Concurrently, vehicle-to-grid (V2G) interaction technology, through intelligent charge and discharge management, optimizes the synergy between electric vehicles and the power grid, addressing the load fluctuations and uncertainties brought about by mass charging. Electric vehicles not only serve as mobile energy storage units, promoting the consumption of renewable energy, but also enhance the security and economy of the power energy system. They play a significant role in constructing a low-carbon, efficient, safe, and reliable new type of power energy system.
This Special Issue aims to explore the latest developments and challenges in electric vehicle drive technology, power source technology, and vehicle-to-grid interaction technology, to foster the deep integration of electric vehicles with the grid and support the electric energy system in achieving green, intelligent, and sustainable operations.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:

• Electric Vehicle Motor and Electric Drive Technology;

• State Detection Technology for Electric Vehicle Motor Systems;

• Real-time Performance Optimization and Data-driven Predictive Maintenance Technology for Electric Vehicle Electric Control Systems;

• Research on High-efficiency and Long-endurance Electric Permanent Magnet Synchronous Motor Design and Thermal Management Optimization;

• Prediction and Management of Electric Vehicle Charging Behavior Based on Big Data and Artificial Intelligence;

• Research on Load Aggregation and Distributed Scheduling Methods in Large-scale Electric Vehicle Vehicle-to-Grid Interaction;

• Dynamic Response Models and Control Strategies for Electric Vehicles Participating in Grid Frequency Regulation;

• Optimization Scheduling and Intelligent Control Methods for Electric Vehicle Interaction with the Grid.

随着社会可持续发展的推进，电动汽车作为绿色出行的重要组成部分，逐渐成为交通领域的核心。电动汽车的驱动技术是实现高效能、长续航和低碳排放的关键，例如，高效电机技术增强动力性能，智能电控系统优化能效，创新电池技术则能够显著提高续航和充电效率。与此同时，车网互动技术通过智能化的充放电管理，优化电动汽车与电网之间的协同，解决大规模充电带来的负荷波动和不确定性问题。电动汽车不仅能作为移动储能单元，促进可再生能源的消纳，还能提升电力能源系统的安全性和经济性，对建设低碳高效、安全可靠新型电力能源具有重要意义。
本期特刊旨在探讨电动汽车驱动技术、动力源技术以及车网互动技术的最新发展与挑战，以推动电动汽车与电网的深度融合，助力电力能源系统实现绿色、智能、可持续运行。
本期特刊欢迎原创研究文章和评论。研究领域包括（但不限于）以下内容：

• 电动汽车电机与电驱动技术；

• 电动汽车电机系统的状态检测技术；

• 电动汽车电控系统的实时性能优化与大数据驱动的预测性维护技术

• 面向高效能与长续航的电动永磁同步电机设计与热管理优化研究；

• 基于大数据和人工智能的电动汽车充电行为预测与管理:

• 大规模电动汽车车网互动中的负荷聚合与分布式调度方法研究；

• 电动汽车参与电网频率调节的动态响应模型与控制策略；

• 电动汽车与电网互动的优化调度与智能控制方法;