电源技术2018，Vol.42Issue(3)：353-356,4.
基于双变结构滤波的动力锂电池SOC估算方法
Dual variable-structure filter-based SOC estimation method for lithium-ion power battery
摘要
Abstract
State of charge (SOC) is one of the most important parameters for electric vehicle power battery.The dual variable-structure filter algorithm was presented to estimate SOC for lithium-ion power battery.One variable-structure filter was used for parameter identification of Thevenin battery model and capturing the nonlinear characteristics between OCV and SOC model by high-order polynomial.Although the variable structure filter could effectively guarantee the convergence of SOC estimation,the parameters should be fuzzed to improve the accuracy of SOC estimation and its adaptive ability.Therefore,the fuzzy variable-structure filter algorithm was proposed to accurately estimate the battery SOC.The test performed in the Arbin test platform show that the dual variable-structure filter can effectively improve the SOC estimation accuracy with the maximum error of 1.50％ and the average absolute error of 0.09％.关键词
动力电池/荷电状态/变结构滤波/模糊-变结构滤波Key words
power battery/state of charge/variable structure filter/fuzzy variable structure filter分类
信息技术与安全科学引用本文复制引用
党选举,李爽,姜辉,伍锡如,李珊..基于双变结构滤波的动力锂电池SOC估算方法[J].电源技术,2018,42(3):353-356,4.基金项目
国家自然科学基金(61263013) （61263013）
广西信息科学实验中心项目(20130110) （20130110）
广西自然科学基金(2014GXNSFBA118275 （）
2015GXNSFAA139297) （）
智能综合自动化高校重点实验室基金资助(2016) （2016）
