A Deployment-Efficient Energy Management Strategy for Connected Hybrid Electric Vehicle Based on Offline Reinforcement Learning
出版年份 2021 全文链接
标题
A Deployment-Efficient Energy Management Strategy for Connected Hybrid Electric Vehicle Based on Offline Reinforcement Learning
作者
关键词
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出版物
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Volume 69, Issue 9, Pages 9644-9654
出版商
Institute of Electrical and Electronics Engineers (IEEE)
发表日期
2021-10-07
DOI
10.1109/tie.2021.3116581
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Energy Management for a Hybrid Electric Vehicle Based on Blended Reinforcement Learning With Backward Focusing and Prioritized Sweeping
- (2021) Ningkang Yang et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Shifting Deep Reinforcement Learning Algorithm Toward Training Directly in Transient Real-World Environment: A Case Study in Powertrain Control
- (2021) Bo Hu et al. IEEE Transactions on Industrial Informatics
- Route Planning and Power Management for PHEVs With Reinforcement Learning
- (2020) Qian Zhang et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Ensemble Reinforcement Learning-Based Supervisory Control of Hybrid Electric Vehicle for Fuel Economy Improvement
- (2020) Bin Xu et al. IEEE Transactions on Transportation Electrification
- A Real-Time Energy Management and Speed Controller for an Electric Vehicle Powered by a Hybrid Energy Storage System
- (2020) Lijun Zhang et al. IEEE Transactions on Industrial Informatics
- Optimal Cost Minimization Strategy for Fuel Cell Hybrid Electric Vehicles Based on Decision-Making Framework
- (2020) Huan Li et al. IEEE Transactions on Industrial Informatics
- An Edge Computing Framework for Powertrain Control System Optimization of Intelligent and Connected Vehicles Based on Curiosity-Driven Deep Reinforcement Learning
- (2020) Bo Hu et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Hybrid Electric Vehicle Energy Management With Computer Vision and Deep Reinforcement Learning
- (2020) Yong Wang et al. IEEE Transactions on Industrial Informatics
- Energy management strategies of connected HEVs and PHEVs: Recent progress and outlook
- (2019) Fengqi Zhang et al. PROGRESS IN ENERGY AND COMBUSTION SCIENCE
- A Heuristic Planning Reinforcement Learning-Based Energy Management for Power-Split Plug-in Hybrid Electric Vehicles
- (2019) Teng Liu et al. IEEE Transactions on Industrial Informatics
- A Data-Driven Power Management Strategy for Plug-In Hybrid Electric Vehicles Including Optimal Battery Depth of Discharging
- (2019) Shaobo Xie et al. IEEE Transactions on Industrial Informatics
- Optimization for a fuel cell/battery/capacity tram with equivalent consumption minimization strategy
- (2017) Wenbin Zhang et al. ENERGY CONVERSION AND MANAGEMENT
- Estimation of the ECMS Equivalent Factor Bounds for Hybrid Electric Vehicles
- (2017) Amir Rezaei et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- Optimal Energy Management for HEVs in Eco-Driving Applications Using Bi-Level MPC
- (2017) Lulu Guo et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Comparative Study of Real-Time HEV Energy Management Strategies
- (2017) Qi Jiang et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Mastering the game of Go without human knowledge
- (2017) David Silver et al. NATURE
- Modelling and control of hybrid electric vehicles (A comprehensive review)
- (2017) Wisdom Enang et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Mastering the game of Go with deep neural networks and tree search
- (2016) David Silver et al. NATURE
- Optimal Control of Hybrid Electric Vehicles Based on Pontryagin's Minimum Principle
- (2010) Namwook Kim et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
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