TY - JOUR
T1 - A Lightweight Multichannel Direct Contact Liquid-Cooling System and Its Optimization for Lithium-Ion Batteries
AU - Guo, Zhechen
AU - Xu, Jun
AU - Xu, Ziming
AU - Mubashir, Muhammad
AU - Wang, Haitao
AU - Mei, Xuesong
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2022/6/1
Y1 - 2022/6/1
N2 - An effective battery thermal management system (BTMS) is of great significance to ensure the safety and efficiency of lithium-ion batteries (LIBs). Both the temperature properties and lightweight are essential to the BTMS in electric vehicles. To fulfill these targets, a direct contact liquid-cooling system with multichannel is designed for the LIB module, and the simulation model is established and validated experimentally. The single-factor analysis is performed to explore the individual influence of different variables, and the comprehensive effect is conducted by the gray relational analysis. Furthermore, three surrogate models, including the response surface model, the Gaussian process model, and the radial basis function model, are conducted to parameterize the temperature behavior. On this basis, the multiobjective optimization functions are established and optimized by considering the maximum temperature, temperature difference, and accessories mass ratio. The results suggest that the optimized liquid-cooling system achieves high cooling efficiency and is lightweight compared with other liquid-cooling systems. The maximum temperature can be controlled below 36 °C, while the temperature difference is limited to 0.65 °C at a 3-C discharge rate. Besides, the accessories mass ratio of the battery module is declined to 10.25%.
AB - An effective battery thermal management system (BTMS) is of great significance to ensure the safety and efficiency of lithium-ion batteries (LIBs). Both the temperature properties and lightweight are essential to the BTMS in electric vehicles. To fulfill these targets, a direct contact liquid-cooling system with multichannel is designed for the LIB module, and the simulation model is established and validated experimentally. The single-factor analysis is performed to explore the individual influence of different variables, and the comprehensive effect is conducted by the gray relational analysis. Furthermore, three surrogate models, including the response surface model, the Gaussian process model, and the radial basis function model, are conducted to parameterize the temperature behavior. On this basis, the multiobjective optimization functions are established and optimized by considering the maximum temperature, temperature difference, and accessories mass ratio. The results suggest that the optimized liquid-cooling system achieves high cooling efficiency and is lightweight compared with other liquid-cooling systems. The maximum temperature can be controlled below 36 °C, while the temperature difference is limited to 0.65 °C at a 3-C discharge rate. Besides, the accessories mass ratio of the battery module is declined to 10.25%.
KW - Battery thermal management
KW - direct contact liquid cooling
KW - gray relational analysis
KW - multichannel
KW - multiobjective optimization
KW - surrogate model
UR - https://www.scopus.com/pages/publications/85124883178
U2 - 10.1109/TTE.2021.3131718
DO - 10.1109/TTE.2021.3131718
M3 - 文章
AN - SCOPUS:85124883178
SN - 2332-7782
VL - 8
SP - 2334
EP - 2345
JO - IEEE Transactions on Transportation Electrification
JF - IEEE Transactions on Transportation Electrification
IS - 2
ER -
