TY - GEN
T1 - Design and Multi-objective Optimization of Lithium-ion Battery Thermal Management System Based on Network Structure Liquid Cooling Plate
AU - Zhang, Tongtong
AU - Guo, Zhechen
AU - Xu, Jun
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - This paper suggests the development of a novel cold plate that is predicated on a mesh channel and performs multi-objective optimization with parameters such as coolant flow direction and velocity, cold plate thickness, inlet length-to-width ratio, and structural fillet to balance the maximum temperature (Tmax), temperature difference (ΔT), pressure drop (ΔP), and mass (m), identifying the optimal cold plate structure. The optimal design is then compared with other reconstructed cooling structures to demonstrate its superiority. The results show that the designed optimal structure reduces Tmax, ΔT, ΔP, and m by 9.7%, 22.2%, 77.3% and 8.9%, respectively, compared to other cooling structures. Finally, the accuracy of the numerical simulation is verified experimentally with an error of less than 3%.
AB - This paper suggests the development of a novel cold plate that is predicated on a mesh channel and performs multi-objective optimization with parameters such as coolant flow direction and velocity, cold plate thickness, inlet length-to-width ratio, and structural fillet to balance the maximum temperature (Tmax), temperature difference (ΔT), pressure drop (ΔP), and mass (m), identifying the optimal cold plate structure. The optimal design is then compared with other reconstructed cooling structures to demonstrate its superiority. The results show that the designed optimal structure reduces Tmax, ΔT, ΔP, and m by 9.7%, 22.2%, 77.3% and 8.9%, respectively, compared to other cooling structures. Finally, the accuracy of the numerical simulation is verified experimentally with an error of less than 3%.
KW - Cooling Plate
KW - Liquid Cooling
KW - Lithium-ion Battery
KW - Thermal Management
UR - https://www.scopus.com/pages/publications/105010820544
U2 - 10.1007/978-981-96-6827-4_25
DO - 10.1007/978-981-96-6827-4_25
M3 - 会议稿件
AN - SCOPUS:105010820544
SN - 9789819668267
T3 - Lecture Notes in Electrical Engineering
SP - 236
EP - 242
BT - Selected Contributions of 2024 2nd International Conference on Electric Vehicle and Vehicle Engineering
A2 - Wong, Pak Kin
A2 - Xu, Jun
PB - Springer Science and Business Media Deutschland GmbH
T2 - 2nd International Conference on Electric Vehicle and Vehicle Engineering, CEVVE 2024
Y2 - 20 December 2024 through 22 December 2024
ER -
