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...

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Detalles Bibliográficos
Autores principales: Kong, Zehui, Zou, Yuan, Liu, Teng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
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

Internet

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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