A novel entropy-based fault diagnosis and inconsistency evaluation approach for lithium-ion battery energy storage systems
文献类型：期刊论文
| 作者 | Qiu, Yishu; Cao, Wenjiong; Peng, Peng; Jiang, Fangming
|
| 刊名 | JOURNAL OF ENERGY STORAGE
 |
| 出版日期 | 2021-09-01 |
| 卷号 | 41页码:20 |
| 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 |
| 通讯作者 | Jiang, Fangming(fm_jiang2000@yahoo.com) |
| 英文摘要 | 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). |
| WOS关键词 | INTERNAL SHORT-CIRCUIT ; EXTERNAL SHORT-CIRCUIT ; ELECTRIC VEHICLES ; CHARGE ESTIMATION ; POWER BATTERIES ; STATE ; PACK ; PROGNOSTICS ; CONNECTION ; MECHANISM |
| 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 |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000674629300006 |
| 资助机构 | China National Key RD Project ; Science and Technology Project of China Southern Power Grid |
| 源URL | [http://ir.giec.ac.cn/handle/344007/33623]  |
| 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. |
入库方式： OAI收割
来源：广州能源研究所
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