Energy Management Strategy for a Hybrid Electric Vehicle Based on Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Energy Management Strategy for a Hybrid Electric Vehicle Based on Deep Reinforcement Learning

Published:2018-01-26 Issue:2 Volume:8 Page:187
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Hu Yue,Li Weimin,Xu Kun,Zahid Taimoor,Qin Feiyan,Li Chenming

Funder

National Natural Science Foundation of Chin

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

http://www.mdpi.com/2076-3417/8/2/187/pdf

Reference29 articles.

1. A Comprehensive Study of Key Electric Vehicle (EV) Components, Technologies, Challenges, Impacts, and Future Direction of Development

2. Classification and Review of Control Strategies for Plug-In Hybrid Electric Vehicles

3. An instantaneous optimization strategy based on efficiency maps for internal combustion engine/battery hybrid vehicles

4. Power management optimization of fuel cell/battery hybrid vehicles with experimental validation

5. Optimal fuzzy power control and management of fuel cell/battery hybrid vehicles

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