Title: Key Technology and Application towards New-generation Intelligent Electric Vehicles
Abstract:
Since intelligent electric vehicles (IEVs) have the potential to reduce energy consumption, improve road safety and preserve environmental pollution, they have recently become an attractive research field in the world. IEVs are an increasingly important part of intelligent transportation systems, whose intelligence is concentrated on smart and safe driving. The two important components of IEVs are the environmental perception system and the vehicle motion control. They are not only related but also interactive: the environmental perception is the prerequisite, and the vehicle motion control is the purpose. IEVs have the characteristics of parameter uncertainty, time delay, and highly nonlinear dynamics, and are a typical complex coupled system. How to use the environmental perception information to realize the motion control is key for IEVs. This report focuses on the perception fusion technology and vehicle chassis holistic control to promote the adaptive ability of intelligent electric vehicles in complex driving conditions. Especially, the core issues and some related exploration work on IEVs conducted by our team are discussed.
Biography:
Prof. Guodong Yin, received a Ph.D. degree in Vehicle Engineering from Southeast University in 2007. He was supported by the National Science Foundation for Distinguished Young Scholars, and currently is a chief professor of Southeast University. His research area is vehicle dynamics and control, and connected vehicles. He won the First Prize in Science and Technology Progress of the Ministry of Education, and the Second Science and Technology Award in of Jiangsu Province in China. He serves as the Dean of Academic Affairs of Southeast University and also the director of the Intelligent Electric Vehicle Equipment Engineering Research Center of Jiangsu Province. Prof. Yin is the associate editor of some international journals, such as IEEE Transactions on Intelligent Vehicles, and Journal of Intelligent and Connected Vehicles. He has published more than 150 academic papers, and more than 70 national patens.
