Related references
Note: Only part of the references are listed.Real-time predictive energy management of plug-in hybrid electric vehicles for coordination of fuel economy and battery degradation
Ningyuan Guo et al.
ENERGY (2021)
Cost-optimal energy management strategy for plug-in hybrid electric vehicles with variable horizon speed prediction and adaptive state-of-charge reference
Lingxiong Guo et al.
ENERGY (2021)
Hybrid Electric Vehicle Energy Management With Computer Vision and Deep Reinforcement Learning
Yong Wang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)
Toward Safe and Smart Mobility: Energy-Aware Deep Learning for Driving Behavior Analysis and Prediction of Connected Vehicles
Yang Xing et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)
Naturalistic Data-Driven Predictive Energy Management for Plug-In Hybrid Electric Vehicles
Xiaolin Tang et al.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION (2021)
Thorough state-of-the-art analysis of electric and hybrid vehicle powertrains: Topologies and integrated energy management strategies
Dai-Duong Tran et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2020)
Efficient Mode Transition Control for Parallel Hybrid Electric Vehicle With Adaptive Dual-Loop Control Framework
Chao Yang et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2020)
Efficient energy management strategy for hybrid electric vehicles/plug-in hybrid electric vehicles: review and recent advances under intelligent transportation system
Chao Yang et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2020)
Deep reinforcement learning based energy management for a hybrid electric vehicle
Guodong Du et al.
ENERGY (2020)
Design and analysis of an engine-start control strategy for a single-shaft parallel hybrid electric vehicle
Chen Zhao et al.
ENERGY (2020)
Cooperative Control of Drive Motor and Clutch for Gear Shift of Hybrid Electric Vehicles With Dual-Clutch Transmission
Sooyoung Kim et al.
IEEE-ASME TRANSACTIONS ON MECHATRONICS (2020)
Cross-Type Transfer for Deep Reinforcement Learning Based Hybrid Electric Vehicle Energy Management
Renzong Lian et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2020)
A Stochastic Predictive Energy Management Strategy for Plug-in Hybrid Electric Vehicles Based on Fast Rolling Optimization
Chao Yang et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2020)
A New Real-Time Optimal Energy Management Strategy for Parallel Hybrid Electric Vehicles
Amir Rezaei et al.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2019)
Driving-Style-Based Codesign Optimization of an Automated Electric Vehicle: A Cyber-Physical System Approach
Chen Lv et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
Deep reinforcement learning enabled self-learning control for energy efficient driving
Xuewei Qi et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)
Model predictive energy management for plug-in hybrid electric vehicles considering optimal battery depth of discharge
Shaobo Xie et al.
ENERGY (2019)
Energy management of hybrid electric bus based on deep reinforcement learning in continuous state and action space
Huachun Tan et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
Reinforcement learning for Hybrid and Plug-In Hybrid Electric Vehicle Energy Management Recent Advances and Prospects
Xiaosong Hu et al.
IEEE INDUSTRIAL ELECTRONICS MAGAZINE (2019)
Optimal Energy Management and Sizing of a Dual Motor-Driven Electric Powertrain
Xiaosong Hu et al.
IEEE TRANSACTIONS ON POWER ELECTRONICS (2019)
Deep Reinforcement Learning-Based Energy Management for a Series Hybrid Electric Vehicle Enabled by History Cumulative Trip Information
Yuecheng Li et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)
Energy management based on reinforcement learning with double deep Q-learning for a hybrid electric tracked vehicle
Xuefeng Han et al.
APPLIED ENERGY (2019)
Grandmaster level in StarCraft II using multi-agent reinforcement learning
Oriol Vinyals et al.
NATURE (2019)
Adaptively coordinated optimization of battery aging and energy management in plug-in hybrid electric buses
Shuo Zhang et al.
APPLIED ENERGY (2019)
Energy management for a power-split hybrid electric bus via deep reinforcement learning with terrain information
Yuecheng Li et al.
APPLIED ENERGY (2019)
Research on the energy control of a dual-motor hybrid vehicle during engine start-stop process
Xiaolin Tang et al.
ENERGY (2019)
Adaptive Hierarchical Energy Management Design for a Plug-In Hybrid Electric Vehicle
Teng Liu et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)
Energy Management in Plug-in Hybrid Electric Vehicles: Recent Progress and a Connected Vehicles Perspective
Clara Marina Martinez et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2017)
Reinforcement Learning Optimized Look-Ahead Energy Management of a Parallel Hybrid Electric Vehicle
Teng Liu et al.
IEEE-ASME TRANSACTIONS ON MECHATRONICS (2017)
Model predictive control power management strategies for HEVs: A review
Yanjun Huang et al.
JOURNAL OF POWER SOURCES (2017)
Mastering the game of Go without human knowledge
David Silver et al.
NATURE (2017)
Rule based energy management strategy for a series-parallel plug-in hybrid electric bus optimized by dynamic programming
Jiankun Peng et al.
APPLIED ENERGY (2017)
Mastering the game of Go with deep neural networks and tree search
David Silver et al.
NATURE (2016)
A review on hybrid electric vehicles architecture and energy management strategies
M. F. M. Sabri et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2016)
Analysis of the performance of different machine learning techniques for the definition of rule-based control strategies in a parallel HEV
Mattia Venditti
71ST CONFERENCE OF THE ITALIAN THERMAL MACHINES ENGINEERING ASSOCIATION (ATI 2016) (2016)
Human-level control through deep reinforcement learning
Volodymyr Mnih et al.
NATURE (2015)
Energy Management for a Power-Split Plug-in Hybrid Electric Vehicle Based on Dynamic Programming and Neural Networks
Zheng Chen et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2014)
Real-Time Control Strategy of Elman Neural Network for the Parallel Hybrid Electric Vehicle
Ruijun Liu et al.
JOURNAL OF APPLIED MATHEMATICS (2014)
Adaptive unscented Kalman filtering for state of charge estimation of a lithium-ion battery for electric vehicles
Fengchun Sun et al.
ENERGY (2011)
Energy and Battery Management of a Plug-In Series Hybrid Electric Vehicle Using Fuzzy Logic
S. G. Li et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2011)