摘要
以磷酸铁锂的高容量锂离子电池为研究对象,从自主设计的电化学-电路等效模型的建立与优化入手,分析电池模型参数的特征;在无迹Kalman滤波(UKF)算法应用研究的基础上,进行基于双UKF(D-UKF)的新型SOC/SOH联合估计方法研究,即利用电池单体荷电状态(SOC)评估电池健康状况(SOH)。实验结果显示,新方法具有较高的估计精度和较快的估计速度,对于提高电池组的能量储存能力、利用率和循环寿命有着重要的应用价值。
The graphene/lithium-iron integrated battery with capacity is studied in this paper. The equivalent circuit model including electrochemical features is established and optimized. The characteristics of battery parameters are analyzed and Unscented Kalman Filtering( UKF) algorithm was applied. The efforts of our study are,firstly the SOC/SOH combined estimation method based on Double UKF. Secondly,the battery SOC value is used to evaluate the battery State of Health( SOH). The experimental results indicate that our new method has higher estimation accuracy and faster estimation speed. Besides,it has important application value for improving the energy storage capacity,utilization ratio and cycle life of the integrated battery.
出处
《科技通报》
2018年第1期145-150,共6页
Bulletin of Science and Technology
基金
浙江省公益性技术应用研究计划项目(2015C33225,2014C33026)
浙江省自然科学基金(LQ16F010004)
