Machine learning algorithm based battery modeling and management method: A Cyber-Physical System perspective
作者： Shuangqi Li , Hongwen He , Jianwei Li , Peng Yin , Hanxiao Wang
DOI: 10.1109/CVCI47823.2019.8951635
关键词:
摘要: In recent years, in order to realize the accurate state monitoring and management of battery, development a flexible, self-reconfigurable reliable model has become one most crucial technologies for electric vehicles. This paper mainly focuses on battery issues new energy vehicles, which concept artificial intelligence grid-connected vehicle is introduced. Firstly, Cyber-Physical system (CPS) applied our work better use data. To establish precise cloud, Support vector regression (SVR) algorithm, classical used battery. Finally, rain-flow cycle counting algorithm-based degradation quantification method proposed deal with influence aging phenomenon during modeling
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