Driving-Behavior-Aware Optimal Energy Management Strategy for Multi-Source Fuel Cell Hybrid Electric Vehicles Based on Adaptive Soft Deep-Reinforcement Learning-Reference-Cited by-同舟云学术

Driving-Behavior-Aware Optimal Energy Management Strategy for Multi-Source Fuel Cell Hybrid Electric Vehicles Based on Adaptive Soft Deep-Reinforcement Learning

Published:2023-04 Issue:4 Volume:24 Page:4127-4146
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Sun Haochen¹^ORCID,Tao Fazhan²^ORCID,Fu Zhumu³^ORCID,Gao Aiyun⁴^ORCID,Jiao Longyin³

Affiliation:

1. College of Information Engineering, Henan University of Science and Technology, Luoyang, China

2. Longmen Laboratory and the College of Information Engineering, Henan University of Science and Technology, Luoyang, China

3. Henan Key Laboratory of Robot and Intelligent Systems and the College of Information Engineering, Henan University of Science and Technology, Luoyang, China

4. College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang, China

Funder

National Natural Science Foundation of China

Program for Science and Technology Innovation Talents in the University of Henan Province

Science and Technology Development Plan of Joint Research Program of Henan

Key Scientific Research Projects of Universities in Henan Province

Scientific and Technological Project of Henan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

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