Automotive Engineering ›› 2023, Vol. 45 ›› Issue (2): 191-198.doi: 10.19562/j.chinasae.qcgc.2023.02.004
Special Issue: 新能源汽车技术-动力电池&燃料电池2023年
Previous Articles Next Articles
Jianhao Zhang,Xingqi Gao,Li Zhang()
Received:
2022-08-10
Revised:
2022-09-15
Online:
2023-02-25
Published:
2023-02-21
Contact:
Li Zhang
E-mail:zhanglii@dlut.edu.cn
Jianhao Zhang,Xingqi Gao,Li Zhang. Micro Short Circuit Diagnosis Method of Battery Pack Based on Capacity Increment Curve and Charge Capacity Difference[J].Automotive Engineering, 2023, 45(2): 191-198.
1 | 郭永芳, 黄凯, 李志刚. 基于短时搁置端电压压降的快速锂离子电池健康状态预测[J].电工技术学报, 2019, 34(19): 3968-3978. |
GUO Y F, HUANG K, LI Z G, Fast state of health prediction of lithium-ion battery based on terminal voltage drop during rest for short time[J]. Transactions of China Electrotechnical Society, 2019, 34(19): 3968-3978. | |
2 | 冯旭宁. 车用锂离子动力电池热失控诱发与扩展机理、建模与防控[D]. 北京:清华大学, 2016. |
FENG X N. Thermal runaway initiation and propagation of lithium-ion traction battery for electric vehicle: Test, modeling and prevention[D]. Beijing:Tsinghua University, 2016. | |
3 | LEE H, CHANG S K, GOH E Y, et al. Li2nio2 as a novel cathode additive for over discharge protection of batteries[J]. Chemistry of Materials, 2008, 20(1):5-7. |
4 | BARNETT B. Technologies for detection and intervention of internal short circuits in Li-ion batteries [C]. 5th Annual Battery Safety, Washington D.C., USA, 2014. |
5 | SAZHIN S V, DUFEK E J, GERING K L. Enhancing Li-ion battery safety by early detection of nascent internal shorts [J]. Ecs Transactions, 2017, 164(1): A6281-A6287. |
6 | KEATES A W, OTANI N, NGUYEN D J, et al. Short circuit detection for batteries: US7795843B2 [P]. 2010, 09, 14. |
7 | ASAKURA J, NAKASHIMA T, FUJIKAWA M. Battery internal short-circuit detection apparatus and method, and battery pack:US20080602752 [P]. 2010. |
8 | SEO M, PARK M. Online detection of soft internal short circuit in lithium-ion batteries at various standard charging ranges[J]. IEEE Access, 2020 (99): 1. |
9 | KIM C S, YOO J S, JEONG K M, et al. Investigation on internal short circuits of lithium polymer batteries with a ceramic-coated separator during nail penetration[J]. Journal of Power Sources, 2015, 289(1): 41-49. |
10 | 张明轩. 汽车动力电池系统内短路问题研究[D]. 北京:清华大学, 2018. |
ZHANG M X. Research on the internal short circuit problem of the vehicle power battery system[D]. Beijing:Tsinghua University, 2018. | |
11 | HAO Y C, CHEN X B, LI T. Method, apparatus, device and medium for detecting internal short circuit fault of battery cell: US17566694 [P]. 2021. |
12 | AMIRHOSSEIN M. Fast and precise detection of internal short circuit on li-ion battery[A]. 2018. |
13 | KONG X, PLETT G L, TRIMBOLI M S, et al. Pseudo-two-dimensional model and impedance diagnosis of micro internal short circuit in lithium-ion cells [J]. The Journal of Energy Storage, 2020, 27(2): 101085. |
14 | YANG R, XIONG R, SHEN W. On-board soft short circuit fault diagnosis of lithium-ion battery packs for electric vehicles using extended Kalman filter[J]. In CSEE Journal of Power and Energy Systems. doi: 10.17775/CSEEJPES.2020.03260. |
15 | 郑岳久. 车用锂离子动力电池组的一致性研究[D]. 北京:清华大学, 2014. |
ZHENG Y J. Study on cell variations of lithium-ion power battery packs in electric vehicles[D]. Beijing:Tsinghua University, 2014. | |
16 | ZHANG Z, KONG X, ZHENG Y, et al. Real-time diagnosis of micro-short circuit for Li-ion batteries utilizing low-pass filters[J]. Energy, 2019, 166(1): 1013-1024. |
17 | FENG X, YUE P, HE X, et al. Detecting the internal short circuit in large-format lithium-ion battery using model-based fault-diagnosis algorithm[J]. Journal of Energy Storage, 2018, 18(8):26-39. |
18 | 高文凯. 锂离子动力电池的短路故障诊断研究[D]. 上海:上海理工大学, 2020. |
GAO W K. Study on short circuit diagnosis of lithium ion power battery[D]. Shanghai:University of Shanghai for Science & Technology, 2020. | |
19 | KONG X, ZHENG Y, OUYANG M, et al. Fault diagnosis and quantitative analysis of micro-short circuits for lithium-ion batteries in battery packs[J]. Journal of Power Sources, 2018, 395(8):358-368. |
20 | XU J, WANG H, SHI H, et al. Multi-scale short circuit resistance estimation method for series connected battery strings[J]. Energy, 2020,202(7):117647. |
21 | MENG J W, BOUKHNIFER M, DELPHA C, et al. Incipient short-circuit fault diagnosis of lithium-ion batteries[J]. The Journal of Energy Storage, 2020, 31(10):101658. |
22 | BING X, SHANG Y, NGUYEN T, et al. A correlation based detection method for internal short circuit in battery packs[A]. 2017. |
23 | FENG X, WENG C, OUYANG M, et al. Online internal short circuit detection for a large format lithium ion battery[J]. Applied Energy, 2016, 161(1): 168-180. |
24 | 令狐金卿. 基于滤波算法和增量容量分析的动力电池状态估计研究[D]. 广州:华南理工大学, 2019. |
LINGHU J Q. Research on state estimation of power batteries based on filtering algorithms and incremental capacity analysis[D]. Guangzhou:South China University of Technology, 2019 | |
25 | 高洋. 三元材料锂离子电池老化诊断、评估与建模方法[D]. 北京:北京交通大学, 2019. |
GAO Y. Aging diagnosis, evaluation and modeling of lithium Ion batteries with Li(NiMnCo)O2 Cathod[D]. Beijing:Beijing Jiaotong University, 2019 | |
26 | 张莉,高兴奇,张健豪. 基于平均-差异模型的电池组短路电流估计[J].汽车工程,2021, 43(11):1702-1709. |
ZHANG L, GAO X Q, ZHANG J H. Short-circuicurrent estimation of battery pack based on average- difference model[J]. Automotive Engineering, 2021, 43(11):1702-1709. |
[1] | Fei Chen,Xiangdong Kong,Yuedong Sun,Xuebing Han,Languang Lu,Yuejiu Zheng,Minggao Ouyang. Progress in Simulation Technology of Lithium-ion Battery Manufacturing Process [J]. Automotive Engineering, 2023, 45(9): 1516-1529. |
[2] | Wenchao Guo,Lin Yang,Zhongwei Deng,Jilin Li,Zhixian Fan. Research on Multi-level Fault Warning Method for Lithium-ion Batteries Driven by Cloud Data [J]. Automotive Engineering, 2023, 45(9): 1677-1687. |
[3] | Haiqiang Liang,Hongwen He,Kangwei Dai,Bo Pang,Peng Wang. Research on Lithium Ion Battery Life Prediction Method Based on Empirical Aging Model and Mechanism Model for Electric Vehicles [J]. Automotive Engineering, 2023, 45(5): 825-835. |
[4] | Yubo Lian,Heping Ling,Qingchan Ma,Qiang Ren,Bin He. Research Progress on Pulse Heating Technology of Lithium-ion Battery for Electric Vehicles [J]. Automotive Engineering, 2023, 45(2): 169-174. |
[5] | Ping Wang,Qingrui Gong,Ze Cheng,Ji’ang Zhang. An AUKF-Based SOC Estimation Method for Lithium-ion Battery [J]. Automotive Engineering, 2022, 44(7): 1080-1088. |
[6] | Yuming Peng,Mingxiao Yuan,Zhuoxin Jing,Yonglin Zhang,Gang Huang. Improved Design of Battery Module Cooling System Under the Influence of Busbar Heat Generation [J]. Automotive Engineering, 2022, 44(6): 859-867. |
[7] | Guihong Bi,Xu Xie,Zilong Cai,Zhao Luo,Chenpeng Chen,Xin Zhao. Capacity Estimation of Lithium-ion Battery Based on Deep Learning Under Dynamic Conditions [J]. Automotive Engineering, 2022, 44(6): 868-878. |
[8] | Yan Ma,Jiayi Li,Qian Ma,Mingchao Chen. Optimization Strategy of Thermal Management of Power Battery Pack Based on Iterative Dynamic Programming [J]. Automotive Engineering, 2022, 44(5): 709-721. |
[9] | Shoutong Liu,Peifeng Huang,Zhonghao Bai. A Review on Research Progress in Failure Mechanism and Simulation Model of Li-ion Battery Related to Mechanical Abuse [J]. Automotive Engineering, 2022, 44(4): 465-475. |
[10] | Tao Sun,Xia Zheng,Yuejiu Zheng,Yufang Lu,Ke Kuang,Xuebing Han. Fast Charging Control of Lithium-ion Batteries Based on Electrochemical- thermal Coupling Model [J]. Automotive Engineering, 2022, 44(4): 495-504. |
[11] | Ximing Cheng,Wei Hu,Jun Zhai,Ronghua Luo,Pan Zhang,Ye Xu. Study on the Efficiency of Low-voltage Electric System in Battery Electric Vehicles [J]. Automotive Engineering, 2022, 44(4): 601-608. |
[12] | Ping Wang,Xiangyuan Peng,Ze Cheng,Ji’ang Zhang. A Multi-time Scale Joint State Estimation Method for Lithium-ion Batteries Based on Data-driven Model Fusion [J]. Automotive Engineering, 2022, 44(3): 362-371. |
[13] | Hongrui Liu,Donghua Gu,Hairui Li,Bin Zhang,Jing Qian. A P-C-C-P Equalizer and Its Control Methods for Lithium-ion Batteries in Series [J]. Automotive Engineering, 2022, 44(3): 372-378. |
[14] | Li Zhang,Xingqi Gao,Jianhao Zhang. Short-circuit Current Estimation of Battery Pack Based on Average- difference Model [J]. Automotive Engineering, 2021, 43(11): 1702-1709. |
[15] | Ping Wang,Xiangyuan Peng,Ze Cheng. SOH Estimation Method for Lithium-ion Batteries Based on DTV-IGPR Model [J]. Automotive Engineering, 2021, 43(11): 1710-1719. |
|