Energy Management Strategy Combining Double Deep Q‐Networks and Demand Torque Prediction for Connected Hybrid Electric Vehicles

Deep reinforcement learning and reward shaping based eco-driving control for automated HEVs among signalized intersections

(2022) Jie Li et al.   ENERGY

An Improved MPC-based Energy Management Strategy for Hybrid Vehicles Using V2V and V2I Communications

(2021) Hongwen He et al.   ENERGY

An Energy Management Strategy Based on Fuzzy Logic for Hybrid Energy Storage System in Electric Vehicles

(2021) Yongpeng Shen et al.   IEEJ Transactions on Electrical and Electronic Engineering

Double Deep Reinforcement Learning-Based Energy Management for a Parallel Hybrid Electric Vehicle With Engine Start–Stop Strategy

(2021) Xiaolin Tang et al.   IEEE Transactions on Transportation Electrification

Efficient energy management strategy for hybrid electric vehicles/plug-in hybrid electric vehicles: review and recent advances under intelligent transportation system

(2020) Chao Yang et al.   IET Intelligent Transport Systems

A novel real‐time energy management strategy for plug‐in hybrid electric vehicles based on equivalence factor dynamic optimization method

(2020) Tao Deng et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Design of a hybrid energy management system using designed rule‐based control strategy and genetic algorithm for the series‐parallel plug‐in hybrid electric vehicle

(2020) N. Ding et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

A Double‐Deep Q‐Network‐Based Energy Management Strategy for Hybrid Electric Vehicles under Variable Driving Cycles

(2020) Jiaqi Zhang et al.   Energy Technology

A novel MPC-based adaptive energy management strategy in plug-in hybrid electric vehicles

(2019) Guo Jinquan et al.   ENERGY

Deep reinforcement learning of energy management with continuous control strategy and traffic information for a series-parallel plug-in hybrid electric bus

(2019) Yuankai Wu et al.   APPLIED ENERGY

Energy management based on reinforcement learning with double deep Q-learning for a hybrid electric tracked vehicle

(2019) Xuefeng Han et al.   APPLIED ENERGY

An adaptive ECMS with driving style recognition for energy optimization of parallel hybrid electric buses

(2019) Xiang Tian et al.   ENERGY

A real-time blended energy management strategy of plug-in hybrid electric vehicles considering driving conditions

(2019) Zhenzhen Lei et al.   JOURNAL OF CLEANER PRODUCTION

Continuous reinforcement learning of energy management with deep Q network for a power split hybrid electric bus

(2018) Jingda Wu et al.   APPLIED ENERGY

Real-time energy management for commute HEVs using modified A-ECMS with traffic information recognition

(2018) Yang Li et al.   IET Intelligent Transport Systems

Real-Time Energy Management Strategy Based on Velocity Forecasts Using V2V and V2I Communications

(2017) Fengqi Zhang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Battery-lifetime-conscious energy management strategy based on SP-SDP for commuter plug-in hybrid electric vehicles

(2017) Fuguo Xu et al.   IEEJ Transactions on Electrical and Electronic Engineering

Adaptive energy management of a plug-in hybrid electric vehicle based on driving pattern recognition and dynamic programming

(2015) Shuo Zhang et al.   APPLIED ENERGY

Application Study on the Dynamic Programming Algorithm for Energy Management of Plug-in Hybrid Electric Vehicles

(2015) Ximing Wang et al.   Energies

Velocity Predictors for Predictive Energy Management in Hybrid Electric Vehicles

(2015) Chao Sun et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE