摘要
电池剩余容量预测在电动汽车电池管理系统中占有重要的位置。为准确实时地预测电动汽车动力电池组荷电状态(SOC),以镍氢电池组为研究对象,采用安时累积法与开路电压法相结合对电池组SOC进行预测,通过FPGA对模型及算法的有效性进行验证。实验结果表明该研究方法结构简单,成本相对较低,且预测精度相对较高,有助于提高科研效率并缩短产品研发周期。
The state of charge （SOC） prediction has important effect on battery management system of electric vehicle. To predict the SOC accurately and in real-time, the management system takes Ni-MH battery pack as research object. The com- bined method of ampere hour （Ah） accumulation and open circuit voltage （OCV） is used to predict battery pack SOC. The model validity and algorithm are verified by FPGA. The experimental results show that the proposed method has simply structure, lower cost and high prediction accuracy. It is helpful to improve scientific research efficiency and reduce development cycle.
出处
《现代电子技术》
北大核心
2015年第13期149-151,155,共4页
Modern Electronics Technique
基金
衡阳市2012年科学技术发展计划项目(2012KG61)
