电源技术Issue(11)：2037-2041,5.
储能工况下磷酸铁锂电池动态辨识方案研究
Dynamic parameter identification method of lithium iron phosphate cell for BESS
摘要
Abstract
The Dynamic performance of lithium ion battery was influenced by various factors, such as temperature, current and ageing, which restricts large-scale application and promotion of battery energy storage system (BESS). And the traditional parameter identification method could only accurately identify the open circuit voltage, but the complex working condition was in high demand of evaluation of battery performance. The high-capacity lithium iron phosphate (LiFePO4) battery used in BESS was taken as the research objective. Dynamic performance estimation error of conventional parameter identification method under different temperatures and current rates was analyzed. The first-order and second-order RC equivalent circuit model precision under different SOC was studied. Particle Swarm Optimization (PSO) parameter identification method based on multiple plus combined with typical storage condition was put forward. The results show that this parameter identification method has high precision for voltages and performance measurement parameters evaluation of single celland series batteries, and can provid basis for online identification parameters for storage battery management system.关键词
电池储能系统/磷酸铁锂电池/复合脉冲/粒子群Key words
battery energy storage system/lithium iron phosphate battery/combined pulse/PSO分类
信息技术与安全科学引用本文复制引用
张言茹,姜久春,张维戈,时玮,姜君..储能工况下磷酸铁锂电池动态辨识方案研究[J].电源技术,2014,(11):2037-2041,5.基金项目
国家“863”高技术基金项目(2011AA05A108) （2011AA05A108）
