Internal thermal network model-based inner temperature distribution of high-power lithium-ion battery packs with different shapes for thermal management

被引:71
|
作者
Kang, Deokhun [1 ]
Lee, Pyeong-Yeon [1 ]
Yoo, Kisoo [2 ]
Kim, Jonghoon [1 ]
机构
[1] Chungnam Natl Univ, Dept Elect Engn, Energy Storage Convers Lab, Daejeon 34134, South Korea
[2] Yeungnam Univ, Sch Mech Engn, Clean Energy Syst Lab, Gyongsan 38541, South Korea
关键词
High-power lithium-ion cell; Cylindrical lithium-ion battery pack; Thermal analysis; Internal thermal network model; Inner temperature distribution; Different shapes; HEAT-GENERATION; COOLING CONFIGURATIONS; PERFORMANCE; IMPEDANCE; IMPACT;
D O I
10.1016/j.est.2019.101017
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The lithium-ion battery pack is manufactured that many cells are connected in parallel or series to suit the purpose of use. Thus, the characteristics of the cells determine the output performance and stability of the pack. In particular, the cells that make up a battery pack are sensitive to the operating temperature. It is important to evaluate the temperature distribution in the environment in which the battery pack is operating and to review the proper cooling method when designing a battery pack. If do not maintain the suitable environment to operate battery, because of it is difficult to expect performance, or thermal runaway to fire or explosion. In this study, a battery pack thermal analysis model based on the battery cell test result was developed for two shapes between square and rectangular. The results of the thermal analysis were compared and verified by the experimental results. The internal temperature distribution was examined for both shapes of battery pack with the forced convection condition, which is used in the thermal model. The air layer inside the battery pack, generated by the cylindrical battery structure, neglects the natural convection effect based on the Rayleigh number, so that the model can be simplified to reflect only heat transfer by conduction. Through this study, it was confirmed that modeling of thermal analysis can be simplified by reflecting only heat transfer by the conduction of the inner air layer of the battery pack. Moreover, it was confirmed that the internal temperature distribution varies according to the shape of the battery pack, and that proper heat dissipation design requires consideration of the shape of the pack.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Internal Temperature Estimation of Lithium-Ion Battery Based on Improved Electro-Thermal Coupling Model and ANFIS
    Wen, Jianping
    Li, Zhensheng
    Zhang, Haodong
    Zhang, Chuanwei
    JOURNAL OF ELECTROCHEMICAL ENERGY CONVERSION AND STORAGE, 2024, 21 (04)
  • [32] Online dynamic equalization adjustment of high-power lithium-ion battery packs based on the state of balance estimation
    Wang, Shunli
    Shang, Liping
    Li, Zhanfeng
    Deng, Hu
    Li, Jianchao
    APPLIED ENERGY, 2016, 166 : 44 - 58
  • [33] Novel Z-Shaped Structure of Lithium-Ion Battery Packs and Optimization for Thermal Management
    Xi, Yuan
    Feng, Yaohui
    Xiao, Yonghou
    He, Gaohong
    JOURNAL OF ENERGY ENGINEERING, 2020, 146 (01)
  • [34] Numerical study of paraffin and glass fiber composites for thermal management of lithium-ion battery packs
    Huo, Zhaorui
    Hong, Xiaobo
    Li, Yanyan
    Chen, Zihan
    Ruan, Dianbo
    ASIA-PACIFIC JOURNAL OF CHEMICAL ENGINEERING, 2024, 19 (01)
  • [35] Numerical Study on Cross-Linked Cold Plate Design for Thermal Management of High-Power Lithium-Ion Battery
    Yang, Huizhu
    Wang, Zehui
    Li, Mingxuan
    Ren, Fengsheng
    Ma, Binjian
    BATTERIES-BASEL, 2023, 9 (04):
  • [36] Smart urban transportation: advancing IoT-based thermal management for lithium-ion EV battery packs
    S. R. Das
    S. K. Mohapatra
    N. K. Kamila
    S. P. Mohanty
    K. P. Swain
    Discover Internet of Things, 5 (1):
  • [37] The model of PNGV of High-power Lithium-ion Battery and test validation
    Wang, Bo
    Zhou, Wei
    Shi, Hui-qi
    Li, Bin
    MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY, 2014, 556-562 : 270 - +
  • [38] Online Thermal State Estimation of High Power Lithium-ion Battery
    Kim, Hyunjae
    Kim, Sunuwe
    Kim, Taejin
    Hu, Chao
    Youn, Byeng D.
    2015 IEEE CONFERENCE ON PROGNOSTICS AND HEALTH MANAGEMENT (PHM), 2015,
  • [39] Experimental Thermal Model-Based SOC Estimation Algorithm for Lithium-Ion Phosphate Batteries Considering Internal Temperature
    Kim, Dong Hwan
    Ko, Jeong Soo
    Kim, Do Hyeon
    Lim, Jong-Hun
    Lim, Je Yeong
    Lee, Jaein
    Lee, Byoung Kuk
    Transactions of the Korean Institute of Electrical Engineers, 2024, 73 (12): : 2289 - 2296
  • [40] Simultaneous internal heating for balanced temperature and state-of-charge distribution in lithium-ion battery packs
    Vu, Hien
    Shin, Donghwa
    JOURNAL OF ENERGY STORAGE, 2023, 60