Artificial neural networks-based multi-objective optimization of immersion cooling battery thermal management system using Hammersley sampling method
This research optimizes lithium-ion battery module cooling through immersion cooling, addressing pressure drop and after discharge average cell temperature. Using the Hammersley method, various module designs are generated. Multi-objective optimization, using ANN-based multi objective genetic algori...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
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| Series: | Case Studies in Thermal Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X24015405 |
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