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Implementation of real-time energy management strategy based on reinforcement learning for hybrid electric vehicles and simulation validation
To further improve the fuel economy of series hybrid electric tracked vehicles, a reinforcement learning (RL)-based real-time energy management strategy is developed in this paper. In order to utilize the statistical characteristics of online driving schedule effectively, a recursive algorithm for t...
Autores principales: | Kong, Zehui, Zou, Yuan, Liu, Teng |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5495435/ https://www.ncbi.nlm.nih.gov/pubmed/28671967 http://dx.doi.org/10.1371/journal.pone.0180491 |
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