Hierarchical Rewarding Deep Deterministic Policy Gradient Strategy for Energy Management of Hybrid Electric Vehicles-Reference-Cited by-同舟云学术

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Hierarchical Rewarding Deep Deterministic Policy Gradient Strategy for Energy Management of Hybrid Electric Vehicles

Published:2023 Issue: Volume: Page:1-1
ISSN:2332-7782
Container-title:IEEE Transactions on Transportation Electrification
language:
Short-container-title:IEEE Trans. Transp. Electrific.

Author:

Wang Jinhai¹^ORCID,Du Changqing¹^ORCID,Yan Fuwu¹^ORCID,Zhou Quan²^ORCID,Xu Hongming²^ORCID

Affiliation:

1. Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, China

2. School of Engineering, University of Birmingham, Birmingham, UK

Funder

Key R&D project of Hubei Province,China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Transportation,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6687316/7098407/10091228.pdf?arnumber=10091228

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Battery health-considered energy management strategy for a dual-motor two-speed battery electric vehicle based on a hybrid soft actor-critic algorithm with memory function;Applied Energy;2024-12

2. Recent Progress in Energy Management of Connected Hybrid Electric Vehicles Using Reinforcement Learning;International Journal of Automotive Manufacturing and Materials;2023-11-19

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