In recent years, in order to realize the accurate state monitoring and management of battery, the development of a flexible, self-reconfigurable and reliable model has become one of the most crucial technologies for electric vehicles. This paper mainly focuses on the battery management issues in new energy vehicles, in which the concept of artificial intelligence and grid-connected vehicle is introduced. Firstly, the concept of Cyber-Physical system (CPS) is applied in battery management issues in our work for a better use of battery data. To establish a precise battery model in cloud, the Support vector regression (SVR) algorithm, a classical artificial intelligence algorithm, is used in our work to model the battery. Finally, a rain-flow cycle counting algorithm-based battery degradation quantification method is proposed to deal with the influence of battery aging phenomenon during modeling the battery.
|Title of host publication||2019 3rd Conference on Vehicle Control and Intelligence (CVCI)|
|Publication status||Published - Sep 2019|
|Event||3rd Conference on Vehicle Control and Intelligence - Hefei, China|
Duration: 21 Sep 2019 → 22 Sep 2019
|Conference||3rd Conference on Vehicle Control and Intelligence|
|Abbreviated title||CVCI 2019|
|Period||21/09/19 → 22/09/19|