Reinforcement learning-based real-time energy management for a hybrid tracked vehicle-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Reinforcement learning-based real-time energy management for a hybrid tracked vehicle

Published:2016-06 Issue: Volume:171 Page:372-382
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Zou Yuan,Liu Teng,Liu Dexing,Sun Fengchun

Funder

National Natural Science Foundation of China

University Talent Introduction 111 Project

Defense Basic Research Project

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference38 articles.

1. Online energy management for hybrid electric vehicles;Kessels;IEEE Trans Veh Technol,2008

2. Comparison of energy management strategies of a battery/supercapacitors system for electric vehicle under real-time constraints;Castaings;Appl Energ,2016

3. Control of hybrid electric vehicles;Sciarretta;IEEE Contr Syst Mag,2007

4. Approximate Pontryagin’s minimum principle applied to the energy management of plug-in hybrid electric vehicles;Hou;Appl Energ,2014

5. A rule-based energy management strategy for a series hybrid vehicle;Jalil,1997

Cited by 182 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. Real-time analytical solution to energy management for hybrid electric vehicles using intelligent driving cycle recognition;Energy;2024-10

2. Enabling cross-type full-knowledge transferable energy management for hybrid electric vehicles via deep transfer reinforcement learning;Energy;2024-10

3. Accelerated Primal–Dual Deep Reinforcement Learning for Efficient Energy Management of Hybrid Electric Vehicles;Arabian Journal for Science and Engineering;2024-08-09

4. Recent advances on energy management and control of direct current microgrid for smart cities and industry: A Survey;Applied Energy;2024-08

5. Overview of improved dynamic programming algorithm for optimizing energy distribution of hybrid electric vehicles;Electric Power Systems Research;2024-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3