文章基本信息

标题：Fast Learning-based Control for Energy Management of Hybrid Electric Vehicles
本地全文：下载
作者：Teng Liu ; Guodong Du ; Yuan Zou 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：31
页码：595-600
DOI：10.1016/j.ifacol.2018.10.143
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, a fast learning-based control method is proposed for energy management of hy-brid electric vehicles. First, the modeling of a parallel hybrid electric vehicle (HEV) is introduced. Energy management of the parallel HEV is constructed as an optimal control problem. Then, the reinforcement learning (RL) framework is depicted and a learning-based approach named Dyna-H algorithm is illustrated via incorporating a heuristic planning strategy into a Dyna agent. Finally, the proposed energy management strategy is compared with the benchmark methods to show its merits. Results indicate that the learning-based controls have better performance in fuel economy and calculation speed.
关键词：KeywordsEnergy managementHybrid electric vehicleDyna-HLearning-based controlReinforcement learning