Ecological Driving Strategy for Fuel Cell Hybrid Electric Vehicle Based on Continuous Deep Reinforcement Learning
Author:
Affiliation:
1. School of Transportation, Southeast University,Nanjing,China
2. School of Mechanical Engineering, Southeast University,Nanjing,China
3. College of Mechanics Engineering, North University of China,Taiyuan,China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Southeast University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9964479/9964492/09964786.pdf?arnumber=9964786
Reference23 articles.
1. Cost-Optimal Energy Management of Hybrid Electric Vehicles Using Fuel Cell/Battery Health-Aware Predictive Control
2. Deep Reinforcement Learning-Based Energy Management for a Series Hybrid Electric Vehicle Enabled by History Cumulative Trip Information
3. Longevity-conscious energy management strategy of fuel cell hybrid electric Vehicle Based on deep reinforcement learning
4. An Integrated Model for Autonomous Speed and Lane Change Decision-Making Based on Deep Reinforcement Learning
5. Minimum Fuel Control Strategy in Automated Car-Following Scenarios
Cited by 4 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. Reinforcement Learning-Based Energy Management for Hybrid Power Systems: State-of-the-Art Survey, Review, and Perspectives;Chinese Journal of Mechanical Engineering;2024-05-17
2. Speedy Hierarchical Eco-Planning for Connected Multi-Stack Fuel Cell Vehicles via Health-Conscious Decentralized Convex Optimization;SAE International Journal of Electrified Vehicles;2023-12-04
3. Integrated velocity optimization and energy management for FCHEV: An eco-driving approach based on deep reinforcement learning;Energy Conversion and Management;2023-11
4. Multiple Electric Components Health-Aware Eco-Driving Strategy for Fuel Cell Hybrid Electric Vehicle Based on Soft Actor-Critic Algorithm;2023
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