Adaptive Energy Management Strategy for Hybrid Electric Vehicles in Dynamic Environments Based on Reinforcement Learning

Adaptive Energy Management Strategy for Hybrid Electric Vehicles in Dynamic Environments Based on Reinforcement Learning

Energy management strategies typically employ reinforcement learning algorithms in a static state. However, during vehicle operation, the environment is dynamic and laden with uncertainties and unforeseen disruptions. This study proposes an adaptive learning strategy in dynamic environments that ada...

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Bibliographic Details
Main Authors: Shixin Song, Cewei Zhang, Chunyang Qi, Chuanxue Song, Feng Xiao, Liqiang Jin, Fei Teng
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Designs
Subjects:
dynamic environment
energy management strategy
reinforcement learning
hybrid electric vehicle
Online Access:https://www.mdpi.com/2411-9660/8/5/102
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