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NUMERICAL SIMULATION AND ANALYSIS OF LITHIUM BATTERY HEAT DISSIPATION BASED ON MULTI-OBJECTIVE OPTIMIZATION.
- Source :
- Thermal Science; 2023, Vol. 27 Issue 4A, p2839-2851, 13p
- Publication Year :
- 2023
-
Abstract
- In order to study the heat dissipation characteristics of lithium batteries, a staggered bi-directional flow cooling method is designed and numerical simulations are established using CFD in this paper with a circular battery as the research object. Since the optimal operating range of Li-ion battery is 293.15-313.15 K and the maximum temperature difference is not higher than 5 K, the maximum temperature and maximum temperature difference are selected as the optimized design objectives. Firstly, the temperature field of the round lithium battery with discharge multiplier 3C working at ambient temperature 308.15 K is studied, and an orthogonal test design is carried out for three factors: battery pack embedding distance, coolant flow rate and coolant temperature, and the best combination of orthogonal test is selected by extreme difference analysis and analysis of variance. Secondly, in order to further verify the heat dissipation efficiency of the battery pack, a back propagation neural network with multi-objective optimization algorithm is proposed, and the optimal heat dissipation method of the numerical simulation is obtained by parameter solution and simulation analysis using the parameter range of the orthogonal test as the constraints of the multi-objective optimization. The results show that this optimized way of battery pack heat dissipation has a significant improvement for the maximum temperature, and non-e of them will exceed its working range; compared with the 3.39 K obtained from the orthogonal test design, the maximum temperature difference of the battery pack calculated by the multi-objective optimization is 3.15 K, which is reduced by 7.08%. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03549836
- Volume :
- 27
- Issue :
- 4A
- Database :
- Complementary Index
- Journal :
- Thermal Science
- Publication Type :
- Academic Journal
- Accession number :
- 171946529
- Full Text :
- https://doi.org/10.2298/TSCI220907208Z