Progress and summary of reinforcement learning on energy management of MPS-EV-Reference-Cited by-同舟云学术

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Progress and summary of reinforcement learning on energy management of MPS-EV

Published:2024-01 Issue:1 Volume:10 Page:e23014
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Lin Yang^ORCID,Chu Liang,Hu Jincheng,Hou Zhuoran,Li Jihao,Jiang Jingjing^ORCID,Zhang Yuanjian^ORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference150 articles.

1. Green Energy and Intelligent Transportation—promoting green and intelligent mobility;Sun;Green Energy and Intelligent Transportation,2022

2. Fuel consumption assessment of an electrified powertrain with a multi-mode high-efficiency engine in various levels of hybridization;Solouk;Energy Convers. Manag.,2018

3. A review of reinforcement learning based energy management systems for electrified powertrains: progress, challenge, and potential solution;Ganesh;Renew. Sustain. Energy Rev.,2022

4. Rule based energy management strategy for a series–parallel plug-in hybrid electric bus optimized by dynamic programming;Peng;Appl. Energy,2017

5. A rule-based energy management strategy for a plug-in hybrid school bus based on a controller area network bus;Peng;Energies,2015

Cited by 1 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 Systematic Review on the Integration of Artificial Intelligence into Energy Management Systems for Electric Vehicles: Recent Advances and Future Perspectives;World Electric Vehicle Journal;2024-08-13

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