A multi-agent reinforcement learning approach for continuous battery cell-level balancing
Cell balancing in lithium-ion battery packs is essential for optimal performance, with active balancing offering advantages over passive balancing but requiring complex management that simple methods fail to address. This paper proposes a multi-agent reinforcement learning (MARL) approach for contin...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025009740 |
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