Please wait a minute...
Chin. Phys. B, 2013, Vol. 22(8): 088801    DOI: 10.1088/1674-1056/22/8/088801
INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY Prev  

Analysis on the capacity degradation mechanism of a series lithium-ion power battery pack based on inconsistency of capacity

Wang Zhen-Poa, Liu Penga b, Wang Li-Fangb
a National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China;
b Key Laboratory of Power Electronics and Electric Drive, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
Abstract  The lithium-ion battery has been widely used as an energy source. Charge rate, discharge rate, and operating temperature are very important factors for the capacity degradations of power batteries and battery packs. Firstly, in this paper we make use of an accelerated life test and a statistical analysis method to establish the capacity accelerated degradation model under three constant stress parameters according to the degradation data, which are charge rate, discharge rate, and operating temperature, and then we propose a capacity degradation model according to the current residual capacity of a Li-ion cell under dynamic stress parameters. Secondly, we analyze the charge and discharge process of a series power battery pack and interpret the correlation between the capacity degradations of the battery pack and its charge/discharge rate. According to this cycling condition, we establish a capacity degradation model of a series power battery pack under inconsistent capacity of cells, and analyze the degradation mechanism with capacity variance and operating temperature difference. The comparative analysis of test results shows that the inconsistent operating temperatures of cells in the series power battery pack are the main cause of its degradation; when the difference between inconsistent temperatures is narrowed by 5 ℃, the cycle life can be improved by more than 50%. Therefore, it effectively improves the cycle life of the series battery pack to reasonably assemble the batteries according to their capacities and to narrow the differences in operating temperature among cells.
Keywords:  lithium-ion battery pack      series      capacity degradation      dynamic stress  
Received:  28 January 2013      Revised:  17 April 2013      Accepted manuscript online: 
PACS:  88.05.Hj (Energy content issues; life cycle analysis)  
  88.85.Hj (Electric vehicles (EVs))  
  82.47.Aa (Lithium-ion batteries)  
  88.80.ff (Batteries)  
Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 61004092 and 51007088), the National High Technology Research and Development Program of China (Grant Nos. 2011AA11A251 and 2011AA11A262), the International Science & Technology Cooperation Program of China (Grant Nos. 2010DFA72760 and 2011DFA70570), and the Research Foundation of National Engineering Laboratory for Electric Vehicles, China (Grant No. 2012-NELEV-03).
Corresponding Authors:  Wang Zhen-Po, Liu Peng     E-mail:  wangzhenpo@bit.edu.cn; roc726@163.com

Cite this article: 

Wang Zhen-Po, Liu Peng, Wang Li-Fang Analysis on the capacity degradation mechanism of a series lithium-ion power battery pack based on inconsistency of capacity 2013 Chin. Phys. B 22 088801

[1] Schmidt A P, Bitzer M, Imnre A W and Guzzella L 2010 J. Power Sources 195 7634
[2] Moss P L, Au G, Plichta E J and Zheng J P 2010 J. Electrochem. Soc. 157 A1
[3] Sankarasubramanian S and Krishnamurthy B 2012 Electrochim. Acta 70 248
[4] Zhao L, Pan H L, Hu Y S, Li H and Chen L Q 2012 Chin. Phys. B 21 079901
[5] Liu X, Xie K, Zheng C M and Wang J 2011 Acta Phys. Sin. 60 118202 (in Chinese)
[6] Sun Y, Liu L, Dong J P, Zhang B and Huang X J 2011 Chin. Phys. B 20 126101
[7] Shi S L, Liu Y G, Zhang J Y and Wang T H 2009 Chin. Phys. B 18 4564
[8] Xia R S, Cui Z H, Liu B Q, Guo X X and Zhao J T 2010 Chin. Phys. Lett. 27 076102
[9] Li J, Yang C Z, Zhang X G, Zhang J and Xia B J 2009 Acta Phys. Sin. 58 6573 (in Chinese)
[10] Wang Z P, Liu W, Wang Y, Zhao C S, Zhang S P, Chen J T, Zhou H H and Zhang X X 2012 Acta Phys. Chim. Sin. 28 2084 (in Chinese)
[11] Vazquez-Arenas J, Fowler M, Mao X F and Chen S K 2012 J. Power Sources 215 28
[12] Liu Y J, Li X H, Guo H J, Wang Z X, Hu Q Y, Peng W J and Yang Y 2009 J. Power Sources 189 721
[13] Pan H L, Hu Y S, Li H and Chen L Q 2011 Chin. Phys. B 20 118202
[14] Chen Y C, Xie K, Pan Y, Zheng C M and Wang H L 2011 Chin. Phys. B 20 028201
[15] Ouyang C Y, Shi S Q, Wang Z X, Li H, Huang X J and Chen L Q 2005 Chin. Phys. Lett. 22 489
[16] Smith K and Wang C Y 2006 J. Power Sources 161 628
[17] Ni J F, Zhou H H, Chen J T and Su G Y 2004 Acta Phys. Chim. Sin. 20 582 (in Chinese)
[18] Li Z, Lu L G, Ouyang M G and Xiao Y K 2011 J. Power Sources 196 9757
[19] Wang Z P, Sun F C and Zhang C N 2003 Chinese Journal of Power Sources 27 438 (in Chinese)
[20] Li H L, Zhang C N, Sun F C, Li J Q and Zhang W 2004 Transactions of Beijing Institute of Technology 24 210 (in Chinese)
[21] Wu N N, Yang D J, Liu J H and Tian W H 2012 Electrochim. Acta 62 91
[22] Christophersen J P, Ho C D, Henriksen G L and Howell D 2006 Advanced Technology Development Program for Lithium-Ion Batteries:gen 2 GDR Performance Evaluation Report (Washington: US Department of Energy)
[23] Honkura K, Takahashi K and Horiba T 2011 J. Power Sources 196 10141
[24] Ramadesigan V, Chen K J, Burns N A, Boovaragavan V, Braatz R D and Subramanian V R 2011 J. Electrochem. Soc. 158 A1048
[25] Roscher M A, Assfalg J and Bohlen O S 2011 IEEE T. Veh. Technol. 60 98
[26] Mao S S and Wang L L 1997 Accelerated Life Test (Beijing: Science Press) (in Chinese)
[27] Spotnitz R 2003 J. Power Sources 72 113 (in Chinese)
[28] Tong M, Lu L G, Ouyang M G, Shao J Y, Li Z, Wang Y, Wang B, Lin Q F and Zhao W 2010 Chin. J. Mech. Eng-EN. 46 121 (in Chinese)
[29] Zheng H H, Li J, Song X Y, Liu G and Battaglia V S 2012 Electrochim. Acta 71 258
[30] Omar N, Daowd M, van den Bossche P, Hegazy O, Smekens J, Coosemans T and van Mierlo J 2012 Energies 5 2952
[31] Plett G L 2004 J. Power Sources 134 262
[32] Chen M, Rincon-Mora G A and Mora R 2006 IEEE Trans. Energy Convers. 21 504
[1] Patterns of cross-correlation in time series: A case study of gait trails
Jia Song(宋佳), Tong-Feng Weng(翁同峰), Chang-Gui Gu(顾长贵), Hui-Jie Yang(杨会杰). Chin. Phys. B, 2020, 29(8): 080501.
[2] Network correlation between investor's herding behavior and overconfidence behavior
Mao Zhang(张昴), Yi-Ming Wang(王一鸣). Chin. Phys. B, 2020, 29(4): 048901.
[3] Modeling capacitance–voltage characteristic of TiW/p-InP Schottky barrier diode
Yi-Dong Wang(王一栋), Jun Chen(陈俊). Chin. Phys. B, 2018, 27(9): 097203.
[4] Detection of finger interruptions in silicon solar cells using photoluminescence imaging
Lei Zhang(张磊), Peng Liang(梁鹏), Hui-Shi Zhu(朱慧时), Pei-De Han(韩培德). Chin. Phys. B, 2018, 27(6): 068801.
[5] General series expression of eddy-current impedance for coil placed above multi-layer plate conductor
Yin-Zhao Lei(雷银照). Chin. Phys. B, 2018, 27(6): 060308.
[6] Constructing (2+1)-dimensional N=1 supersymmetric integrable systems from the Hirota formalism in the superspace
Jian-Yong Wang(王建勇), Xiao-Yan Tang(唐晓艳), Zu-Feng Liang(梁祖峰). Chin. Phys. B, 2018, 27(4): 040203.
[7] Truncated series solutions to the (2+1)-dimensional perturbed Boussinesq equation by using the approximate symmetry method
Xiao-Yu Jiao(焦小玉). Chin. Phys. B, 2018, 27(10): 100202.
[8] Charge compensation and capacity fading in LiCoO2 at high voltage investigated by soft x-ray absorption spectroscopy
Xing-Hui Long(龙兴辉), Yan-Ru Wu(吴颜如), Nian Zhang(张念), Peng-Fei Yu(于鹏飞), Xue-Fei Feng(冯雪飞), Shun Zheng(郑顺), Jia-Min Fu(傅佳敏), Xiao-Song Liu(刘啸嵩), Na Liu(柳娜), Meng Wang(王梦), Lei-Min Xu(徐磊敏), Jin-Ming Chen(陈锦明), Jenn-Min Lee(李振民). Chin. Phys. B, 2018, 27(10): 107802.
[9] Extracting hidden weak sinusoidal signal with short duration from noisy data:Analytical theory and computational realization
Ying Zhang(张英), Zhaoyang Zhang(张朝阳), Hong Qian(钱弘), Gang Hu(胡岗). Chin. Phys. B, 2017, 26(10): 100508.
[10] Multifractal modeling of the production of concentrated sugar syrup crystal
Sheng Bi(闭胜), Jianbo Gao(高剑波). Chin. Phys. B, 2016, 25(7): 070502.
[11] Application of the nonlinear time series prediction method of genetic algorithm for forecasting surface wind of point station in the South China Sea with scatterometer observations
Jian Zhong(钟剑), Gang Dong(董钢), Yimei Sun(孙一妹), Zhaoyang Zhang(张钊扬), Yuqin Wu(吴玉琴). Chin. Phys. B, 2016, 25(11): 110502.
[12] Generalized symmetries of an N=1 supersymmetric Boiti–Leon–Manna–Pempinelli system
Wang Jian-Yong, Tang Xiao-Yan, Liang Zu-Feng, Lou Sen-Yue. Chin. Phys. B, 2015, 24(5): 050202.
[13] Adaptive step-size modified fractional least mean square algorithm for chaotic time series prediction
Bilal Shoaib, Ijaz Mansoor Qureshi, Shafqatullah, Ihsanulhaq. Chin. Phys. B, 2014, 23(5): 050503.
[14] A modified fractional least mean square algorithm for chaotic and nonstationary time series prediction
Bilal Shoaib, Ijaz Mansoor Qureshi, Ihsanulhaq, Shafqatullah. Chin. Phys. B, 2014, 23(3): 030502.
[15] Theoretical and experimental analysis of the effects of the series resistance on luminous efficacy in GaN-based light emitting diodes
Ma Li, Shen Guang-Di, Liu Jian-Peng, Gao Zhi-Yuan, Xu Chen, Wang Xun. Chin. Phys. B, 2014, 23(11): 118507.
No Suggested Reading articles found!