Topology Optimization Design on Cooling-Plate for Lithium-ion Battery Based on Electro-Thermal Model

2023-01-0506

04/11/2023

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Event
WCX SAE World Congress Experience
Authors Abstract
Content
A flow channel design of the battery liquid cooling plate is carried out through the variable density topology optimization method according to the heat dissipation requirements of lithium-ion power batteries under actual working conditions. Firstly, given the non-uniform heat generation of lithium battery cells, the heat generation mechanism is studied so that the battery electro-thermal model is established, then the distribution regularity of heat generation rate in the cell at different discharge rates is obtained. Subsequently, through COMSOL Multiphysics simulation software, the multi-objective topology optimization of the primary configuration radiator is conducted. The weights of the optimization objectives minimum temperature and minimum flow resistance are determined by practical engineering application. Finally, an optimized model with a volume fraction of 50% was obtained. Based on this optimized design result, research and analysis of related fluid flow and heat transfer characteristics were conducted through numerical simulation. The results show that, under the same battery cooling demand, compared with the traditional design of the serpentine radiator, the energy consumption and the pressure drop decrease by 90.22% and 41.35% respectively at a slight cost of temperature rise. It has been proved that the topology-optimized cooling plate proposed in this paper help improve the comprehensive performance of lithium battery thermal management.
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DOI
https://doi.org/10.4271/2023-01-0506
Pages
11
Citation
Lin, Z., Ding, K., and Xie, B., "Topology Optimization Design on Cooling-Plate for Lithium-ion Battery Based on Electro-Thermal Model," SAE Technical Paper 2023-01-0506, 2023, https://doi.org/10.4271/2023-01-0506.
Additional Details
Publisher
Published
Apr 11, 2023
Product Code
2023-01-0506
Content Type
Technical Paper
Language
English