摘要
设计了一种以DSP为核心的电池管理系统,该系统有效地实现了电动汽车动力电池的数据监测,荷电状态(SOC)估计、控制局域网(CAN)通信及USB数据存储功能,并利用基于开路电压与神经网络相结合的方法对SOC值进行预测。有硬件电路简单、外围器件较少、处理速度较快、抗干扰性能和可靠性高等特点。
A battery management system was designed with DSP as the core, which effectively achieve the data monitoring of power battery, state-of-charge (SOC) estimation, controller area network (CAN) communications and USB data storage function. The open circuit voltage and the neural network method were adopted to forecast the ,SOC value. The system has the merits of simple hardware circuit, less peripheral device, fast processing speed, anti-interference performance and high reliability.
出处
《电源技术》
CAS
CSCD
北大核心
2012年第4期488-490,共3页
Chinese Journal of Power Sources