Academic Report
Title: Case study of power system control: real-time optimization and learning
Reporter: SHEN Tielong (Sophia University)
Time: June 5, 2019 (Wednesday) AM 9:50-10:30
Location: B1410# room, Innovation Park Building
Contact: WANG Lei (tel:84708351-8137)
Abstract: This lecture will introduce the achievements and experience of the development of electric vehicle propulsion power control technology. After a brief review of the basic results of optimization theory, two case studies will be conducted to demonstrate the application of real-time optimization and learning techniques in the power system of electric vehicles.The optimization of energy consumption decline layer based on learning demand torque prediction and the optimal control based on learning are studied.
The brief introduction to the reporter: Shen Tielong, professor, Sophia University, Japan, research interests: robust control of nonlinear systems, adaptive control theory and its applications in mechanical systems, electromechanical systems, robots and automotive power systems.Main achievements: chairman of CCC&SICE2015, chairman of ECC2015 procedure committee, published more than 170 papers in academic journals at home and abroad, and his books have become textbooks in China, Japan and Britain.
