Design of a liquid cooled battery thermal management system using neural networks, cheetah optimizer and salp swarm algorithm
Abstract Addressing a key research gap in the lack of unified AI-based approaches that ensure both high predictive accuracy and informed design trade-offs, this study presents a synergistic methodology that integrates advanced intelligent techniques to optimize the thermal and hydraulic performance...
Saved in:
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-15359-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|