Deep Reinforcement Learning-based Energy Management for Hybrid Electric Vehicles

Yuecheng Li is currently working at the Beijing Institute of Specialized Machinery. He obtained his Ph.D. from Beijing Institute of Technology in 2021 and studied in the Mechatronic Vehicle Systems Lab, University of Waterloo, as a visiting student from 2018–2019. His research interests include hybrid powertrains and energy management, intelligent control theories, and machine learning applied to vehicles. Hongwen He is currently a Professor with the National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology. He has authored or coauthored 126 EI-indexed papers, 82 SCI-indexed papers, and 17 ESI highly cited papers. He is the recipient of the second prize of the Chinese National Science and Technology Award, the first prize of natural science by the Ministry of Education, and the first prize of technological invention of China’s automobile industry.

• Introduction.- Background: Deep Reinforcement Learning.- Learning of EMSs.- Learning of EMSs.- Learning of EMSs/ An Online Integration Scheme for DRL-Based EMSs.- Conclusions.- Bibliography.- Authors' Biographies.