A novel entropy-based fault diagnosis and inconsistency evaluation approach for lithium-ion battery energy storage systems

doi:10.1016/j.est.2021.102852

GIEC OpenIR

	A novel entropy-based fault diagnosis and inconsistency evaluation approach for lithium-ion battery energy storage systems
	Qiu, Yishu; Cao, Wenjiong; Peng, Peng; Jiang, Fangming
	2021-09-01
发表期刊	JOURNAL OF ENERGY STORAGE
卷号	41 页码:20
通讯作者	Jiang, Fangming(fm_jiang2000@yahoo.com)
摘要	Detection and diagnosis of faults at the early stage, as well as inconsistency monitoring and control are of extreme importance for operating Li-ion batteries (LIBs) safely and reliably, handling performance degradation and cell unbalancing, and avoiding accidents like thermal runaway (TR). In this work, a general procedure based on multi-level Shannon entropy algorithms is put forward to perform fault diagnosis as well as inconsistency evaluation for LIB-based energy storage systems (ESSs). More specifically, the cell-level Shannon entropy algorithm is used to detect faults by comparing Shannon entropies of different LIB cells in each module while the module-level and cluster-level Shannon entropy algorithms are used to evaluate the overall inconsistency among LIB cells in each module and in each cluster respectively. The proposed approach is then applied in a large-scale LIB-based ESS (1 MW/2 MWh). Through simulated data, the availability of the cell-level Shannon entropy algorithm to detect small changes in gradual faults is testified while the module-level and the cluster-level Shannon entropy algorithms are demonstrated to be effective for assessing inconsistences of LIBs in every module and in every cluster respectively, by comparing results of the normal case with those from two cases each with a different faulty LIB cell at the early stage of internal short circuit (ISC).
关键词	Lithium-ion battery Energy storage system Shannon entropy Internal short circuit Fault diagnosis Inconsistency evaluation
DOI	10.1016/j.est.2021.102852
关键词[WOS]	INTERNAL SHORT-CIRCUIT ; EXTERNAL SHORT-CIRCUIT ; ELECTRIC VEHICLES ; CHARGE ESTIMATION ; POWER BATTERIES ; STATE ; PACK ; PROGNOSTICS ; CONNECTION ; MECHANISM
收录类别	SCI
语种	英语
资助项目	China National Key RD Project[2018YFB0905300] ; China National Key RD Project[2018YFB0905303] ; Science and Technology Project of China Southern Power Grid[YNKJXM20180358]
WOS研究方向	Energy & Fuels
项目资助者	China National Key RD Project ; Science and Technology Project of China Southern Power Grid
WOS类目	Energy & Fuels
WOS记录号	WOS:000674629300006
出版者	ELSEVIER
引用统计	被引频次：23[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.giec.ac.cn/handle/344007/33624
专题	中国科学院广州能源研究所
通讯作者	Jiang, Fangming
作者单位	Chinese Acad Sci, Guangdong Key Lab New & Renewable Energy Res & De, Guangzhou Inst Energy Convers, Lab Adv Energy Syst,CAS Key Lab Renewable Energy, Guangzhou 510640, Guangdong, Peoples R China
推荐引用方式 GB/T 7714	Qiu, Yishu,Cao, Wenjiong,Peng, Peng,et al. A novel entropy-based fault diagnosis and inconsistency evaluation approach for lithium-ion battery energy storage systems[J]. JOURNAL OF ENERGY STORAGE,2021,41:20.
APA	Qiu, Yishu,Cao, Wenjiong,Peng, Peng,&Jiang, Fangming.(2021).A novel entropy-based fault diagnosis and inconsistency evaluation approach for lithium-ion battery energy storage systems.JOURNAL OF ENERGY STORAGE,41,20.
MLA	Qiu, Yishu,et al."A novel entropy-based fault diagnosis and inconsistency evaluation approach for lithium-ion battery energy storage systems".JOURNAL OF ENERGY STORAGE 41(2021):20.