期刊
JOURNAL OF POWER SOURCES
卷 383, 期 -, 页码 50-58出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jpowsour.2018.02.058
关键词
Battery pack; State-of-charge; Battery management system; Battery model; SOC inconsistency
资金
- National Natural Science Foundation of China (NSFC) [51507102]
- Chenguang Program - Shanghai Education Development Foundation [16CG52]
- Chenguang Program - Shanghai Municipal Education Commission [16CG52]
- State Key Laboratory of Automotive Safety and Energy [KF16022]
State-of-charge (SOC) inconsistency impacts the power, durability and safety of the battery pack. Therefore, it is necessary to measure the SOC inconsistency of the battery pack with good accuracy. We explore a novel method for modeling and estimating the SOC inconsistency of lithium-ion (Li-ion) battery pack with low computation effort. In this method, a second-order RC model is selected as the cell mean model (CMM) to represent the overall performance of the battery pack. A hypothetical Rint model is employed as the cell difference model (CDM) to evaluate the SOC difference. The parameters of mean-difference model (MDM) are identified with particle swarm optimization (PSO). Subsequently, the mean SOC and the cell SOC differences are estimated by using extended Kalman filter (EKF). Finally, we conduct an experiment on a small Li-ion battery pack with twelve cells connected in series. The results show that the evaluated SOC difference is capable of tracking the changing of actual value after a quick convergence.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据