Energy Management for Hybrid Electric Vehicles Using Safe Hybrid-Action Reinforcement Learning

Energy Management for Hybrid Electric Vehicles Using Safe Hybrid-Action Reinforcement Learning

Reinforcement learning has shown success in solving complex control problems, yet safety remains paramount in engineering applications like energy management systems (EMS), particularly in hybrid electric vehicles (HEVs). An effective EMS is crucial for coordinating power flow while ensuring safety,...

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Bibliographic Details
Main Authors: Jinming Xu, Yuan Lin
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Mathematics
Subjects:
hybrid electric vehicles
energy management strategy
safe reinforcement learning
hybrid action space
Lagrangian methods
Online Access:https://www.mdpi.com/2227-7390/12/5/663

Internet

https://www.mdpi.com/2227-7390/12/5/663

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