Estimation on the pulse power capability of high-power lithium-ion battery pack

被引:0
|
作者
School of Transportation Science and Engineering, Beihang University, Beijing 100191, China [1 ]
不详 [2 ]
不详 [3 ]
机构
来源
Qiche Gongcheng | 2013年 / 4卷 / 298-302期
关键词
D O I
暂无
中图分类号
学科分类号
摘要
To estimate the pulse power capability of high power lithium ion battery, an electrochemical model for lithium ion battery is developed firstly based on porous electrode and concentrated solution theory. With the model, the change in battery terminal voltage can be predicted according to the charge/discharge current and operation temperature of battery, and hence the maximum pulse discharge/charge power permitted by lithium ion battery pack at present state can be estimated. Then, for verifying the effectiveness of the model, the dynamic response process of terminal voltage in a 3.6V/8A·h lithium ion battery during 10s pulse charge/discharge with various current rates, and the acceptable 10s maximum pulse discharge/charge power of 144V/8A·h lithium ion battery pack under different SOCs and temperatures are measured on Arbin test bench. The results of tests show that when the pulse charge/discharge time exceeds 1s, the relative errors of the predicted terminal voltages are less than ±1% and the relative errors of the estimated maximum discharge/charge power of battery pack are less than ±3%. Finally, the effects of negative electrode porosity on the pulse power capability of battery pack are analyzed with the electrochemical model.
引用
收藏
相关论文
共 50 条
  • [31] Online Estimation of State of Power for Lithium-ion battery Considering the battery aging
    Chen, Zeyu
    Lu, Jiahuan
    Yang, Ying
    Xiong, Rui
    2017 CHINESE AUTOMATION CONGRESS (CAC), 2017, : 3112 - 3116
  • [32] Review of state of health estimation for lithium-ion battery pack
    Liu D.
    Song Y.
    Wu W.
    Yang C.
    Peng Y.
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2020, 41 (11): : 1 - 18
  • [33] High power and long life lithium-ion battery for backup power sources
    Suzuki, I
    Shizuki, T
    Nishiyama, K
    INTELEC'03: POWERING THE BROADBAND NETWORK, PROCEEDINGS, 2003, : 317 - 322
  • [34] State of power estimation of power lithium-ion battery based on an equivalent circuit model
    Wu, Muyao
    Qin, Linlin
    Wu, Gang
    JOURNAL OF ENERGY STORAGE, 2022, 51
  • [35] Power and thermal characterization of a lithium-ion battery pack for hybrid-electric vehicles
    Smith, Kandler
    Wang, Chao-Yang
    JOURNAL OF POWER SOURCES, 2006, 160 (01) : 662 - 673
  • [36] Thermal characterization of a high-power lithium-ion battery: Potentiometric and calorimetric measurement of entropy changes
    Eddahech, Akram
    Briat, Olivier
    Vinassa, Jean-Michel
    ENERGY, 2013, 61 : 432 - 439
  • [37] Thermal analysis of high-power lithium-ion battery packs using flow network approach
    Karimi, G.
    Dehghan, A. R.
    INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2014, 38 (14) : 1793 - 1811
  • [38] Crumpled, high-power, and safe wearable Lithium-Ion Battery enabled by nanostructured metallic textiles
    Wang, Dongrui
    Chang, Jian
    Huang, Qiyao
    Chen, Dongdong
    Li, Peng
    Yu, Yau-Wai Denis
    Zheng, Zijian
    FUNDAMENTAL RESEARCH, 2021, 1 (04): : 399 - 407
  • [39] Thermal stability of high power lithium-ion battery electrolytes
    Zhang, Xu
    Wang, Zhi
    Wang, Xu
    Chen, Jian
    Geng, Su
    Huagong Jinzhan/Chemical Industry and Engineering Progress, 2016, 35 (04): : 1140 - 1143
  • [40] RUL Estimation of Lithium-Ion Power Battery Based on DEKF Algorithm
    Wang, Anyuan
    Chen, Haitao
    Jin, Peng
    Huang, Jun
    Feng, Dong
    Zheng, Minxin
    PROCEEDINGS OF THE 2019 14TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2019), 2019, : 1851 - 1856