Safe Deep Reinforcement Learning-Based Constrained Optimal Control Scheme for HEV Energy Management
Author:
Affiliation:
1. State Key Laboratory of Automotive Energy and Safe, Tsinghua University, Beijing, China
2. Department of Mechanical Engineering, University of Birmingham, Birmingham, U.K.
Funder
National Key Research and Development (R&D) Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Transportation,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6687316/10251026/10029892.pdf?arnumber=10029892
Reference61 articles.
1. Freeway Driving Cycle Construction Based on Real-Time Traffic Information and Global Optimal Energy Management for Plug-In Hybrid Electric Vehicles
2. Vehicle-level control analysis of 2010 Toyota Prius based on test data
3. Least costly energy management for extended-range electric vehicles: An economic optimization framework
4. Battery Health-Aware and Deep Reinforcement Learning-Based Energy Management for Naturalistic Data-Driven Driving Scenarios
5. Trip-oriented stochastic optimal energy management strategy for plug-in hybrid electric bus
Cited by 16 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 energy management for HEV combining naturalistic driving data and deep reinforcement learning with high generalization;Applied Energy;2025-01
2. Reinforcement learning based adaptive control method for traffic lights in intelligent transportation;Alexandria Engineering Journal;2024-11
3. A data-driven solution for intelligent power allocation of connected hybrid electric vehicles inspired by offline deep reinforcement learning in V2X scenario;Applied Energy;2024-10
4. Fuzzy-based predictive deep reinforcement learning for robust and constrained optimal control of industrial solar thermal plants;Applied Soft Computing;2024-07
5. Machine Learning and Optimization in Energy Management Systems for Plug-In Hybrid Electric Vehicles: A Comprehensive Review;Energies;2024-06-21
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