Collaborative Optimization of Energy Management Strategy and Adaptive Cruise Control Based on Deep Reinforcement Learning
Author:
Affiliation:
1. School of Transportation, Southeast University, Nanjing, China
2. School of Mechanical Engineering, Southeast University, Nanjing, China
3. CAS-Juche Technology Company Ltd., Hefei, China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
“Zhishan” Scholars Programs of Southeast University
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/ielx7/6687316/10050348/09780376.pdf?arnumber=9780376
Reference39 articles.
1. Rule-based energy management strategies for hybrid vehicles
2. Learning Hand-Eye Coordination for Robotic Grasping with Large-Scale Data Collection
3. A Review of Optimal Energy Management Strategies for Hybrid Electric Vehicle
4. The Ornstein–Uhlenbeck neuronal model with signal-dependent noise;lánský;Phys Lett Sect A Gen At Solid State Phys,2001
5. Deep Deterministic Policy Gradient Based Energy Management Strategy for Hybrid Electric Tracked Vehicle With Online Updating Mechanism
Cited by 24 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. Battery health-considered energy management strategy for a dual-motor two-speed battery electric vehicle based on a hybrid soft actor-critic algorithm with memory function;Applied Energy;2024-12
2. An intelligent full-knowledge transferable collaborative eco-driving framework based on improved soft actor-critic algorithm;Applied Energy;2024-12
3. Multi-objective optimization with Q-learning for cruise and power allocation control parameters of connected fuel cell hybrid vehicles;Applied Energy;2024-11
4. Multi-performance enhanced eco-driving strategy for connected fuel cell hybrid electric bus based on stein soft actor-3-critic;Energy;2024-10
5. Pre-optimization-assisted deep reinforcement learning-based energy management strategy for a series–parallel hybrid electric truck;Energy;2024-09
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