电源技术2017，Vol.41Issue(11)：1530-1532,1544,4.
基于SOH及离线数据分段矫正的锂电池SOC估计
Research on SOC estimation based on SOH and off-line data segmented correction
摘要
Abstract
When lithium-ion power battery is used in electric vehicles,under the influence of random factors such as working condition and environment,SOC has a very strong time-varying nonlinearity,and the research on SOC estimation of power battery for electric vehicle has theoretical significance and application value.Ampere-hour integral method is commonly used for SOC estimation in the engineering,in the process of application,and the difficulty is cumulative error elimination in the process of integral.In this paper,firstly,battery state of health (SOH) was used to estimate the actual usable capacity of the current time,as the divisor of Ah integral method,to correct the SOC estimation.Secondly,the off-line data were used to eliminate the cumulative error of Ah integral method segmentedly.The simulation results show that the proposed method has higher accuracy than the traditional Ah integral method,and can better eliminate the cumulative error.关键词
安时积分法/SOC/SOH/累积误差Key words
Ah integral method/SOC/SOH/cumulative error分类
信息技术与安全科学引用本文复制引用
郭向伟,康龙云,李文彪,吴璟玥..基于SOH及离线数据分段矫正的锂电池SOC估计[J].电源技术,2017,41(11):1530-1532,1544,4.基金项目
东莞市引进创新科研团队计划(201460711900131) （201460711900131）
