An Energy Management Strategy Based on DDPG With Improved Exploration for Battery/Supercapacitor Hybrid Electric Vehicle
Author:
Affiliation:
1. College of Control Science and Engineering, Zhejiang University, Hangzhou, China
2. College of Information Science and Engineering, NingboTech University, Ningbo, China
3. Zhejiang CRRC Electric Vehicle Company Ltd, Ningbo, China
Funder
National Natural Science Foundation of China
Zhejiang Province Natural Science Fund
Ningbo Science and Technology Innovation Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/4358928/10311079.pdf?arnumber=10311079
Cited by 3 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. A soft actor-critic reinforcement learning framework for optimal energy management in electric vehicles with hybrid storage;Journal of Energy Storage;2024-10
2. A multi-scale fuel cell degradation prediction method based on isometric convolution block and long short-term memory networks;International Journal of Hydrogen Energy;2024-06
3. Optimal Planning Framework for Battery Energy Storage Systems and Electric Vehicle Charging Stations in Distribution Networks;2024 IEEE International Conference on Industrial Technology (ICIT);2024-03-25
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