【作者】 程艳青； 高明煜；

【Author】 Cheng Yan-qing Gao Ming-yu (School of Electronics Information Hang Zhou Dianzi University,Hangzhou Zhejiang 310018,China)

【机构】 杭州电子科技大学电子信息学院；

【摘要】 电动汽车的电池管理系统需要一个精确和可靠的电池荷电状态(SOC)预测。由于电池组真实的SOC受许多因素如电池温度、充放电次数、电池老化等因素的影响,传统的SOC预测技术很难得到精确的结果。本文以聚合物锂离子电池组为研究对象,采用卡尔曼滤波递推算法对电池组SOC进行估算,经试验这种方法能够获得蓄电池精确和可靠的SOC预测值。更多还原

【Abstract】 Accurate and reliable state-of-charge(SOC)estimation for battery is necessary for the battery management system in electric vehicles.Since the actual SOC of battery pack is influenced by many factors,such as temperature,cycle of discharge and aging of battery,it is difficult to obtain ideal results by traditional methods. The paper based on Kalman filtering recursive algorithm,mainly described how to estimate the state-of-charge on a lithium ion polymer battery pack more accurately.The experiments proved that accurate and reliable battery SOC estimation of battery could be obtained by adopting the new method.更多还原