Adaptive Optimal Control of Hybrid Electric Vehicle Power Battery via Policy Learning

An online policy learning algorithm is used to solve the optimal control problem of the power battery state of charge (SOC) observer for the first time. The design of adaptive neural network (NN) optimal control is studied for the nonlinear power battery system based on a second-order (RC) equivalen...

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Detalles Bibliográficos
Autores principales: Zhu, Qinglin, Sun, Huanli, Zhao, Ziliang, Liu, Yixin, Zhao, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241567/
https://www.ncbi.nlm.nih.gov/pubmed/37284055
http://dx.doi.org/10.1155/2023/8288527

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241567/
https://www.ncbi.nlm.nih.gov/pubmed/37284055
http://dx.doi.org/10.1155/2023/8288527

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