Nowadays, vehicle electrification has garnered significant attention in the automobile industry and research community. Electric vehicles, with their more flexible chassis structure and advanced performance, face significant challenges in terms of stability and safety. As a result, there is a pressing need for more advanced vehicle state estimation, motion control, and diagnosis technologies. Real-time estimation of the vehicle state is foundational to achieve effective vehicle control schemes. The accuracy of state parameter estimation directly influences the control performance and characteristics of the vehicle dynamics control system. Vehicle motion control, such as integrated chassis control, plays a crucial role as a component between planning and action tasks and can greatly improve the yaw and roll stability of the vehicle. Furthermore, diagnosis technologies are a promising tool for diagnosing road safety problems and proposing appropriate countermeasures. With the right tools and technologies, we can create a safer, more efficient, and more sustainable future for automobiles.

The scope of this special issue mainly covers the area of intelligent electric vehicle state estimation and control. We encourage the submissions which tackling the advanced state estimation and vehicle dynamics-based control strategy for electric vehicles. Furthermore, we especially welcome the submissions about the vehicle state estimation, motion control and diagnosis strategy for electric vehicles.

Potential topics include but are not limited to the following:

Please refer to the Editorial Process and Article Processing Charge for more information about manuscript process and publishing fees.