Hybrid reinforcement learning optimization of aging aware energy management and powertrain sizing in fuel cell hybrid electric vehicles
Abstract This paper introduces a novel hybrid optimization framework for the aging-aware co-design of powertrain component sizing and energy management systems (EMS) in fuel cell hybrid electric vehicles (FCHEVs). The framework integrates the global search capability of the NSGA-II multi-objective e...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Portfolio
2026-01-01
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| シリーズ: | Scientific Reports |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1038/s41598-025-34256-0 |
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