摘要
研究了影响锂电池健康状态的各种因素,提出了一种新的荷电状态预估算,结合了不同开路时间下的开路电压修正,以及充放电过程中的区域性修正,同时也提出了一种Levenberg-Marquardt优化BP神经网络算法,并验证了算法的有效性。
The influence factors of Li-ion battery SOH are investigated and a new kind of SOC estimation algorithm has been put forward in this paper, which combines open-circuit voltage correction in different open time with the domain modification in the charge and discharge process. This paper also presents Levenberg-Marquardt optimization BP neural network algorithm, and the effectiveness of the algorithm has been demonstrated.
出处
《水电站机电技术》
2015年第B12期77-81,89,共5页
Mechanical & Electrical Technique of Hydropower Station
