Deep reinforcement learning-based energy management strategies for energy-efficient driving of hybrid electric buses

A novel energy management strategy of hybrid electric vehicle via an improved TD3 deep reinforcement learning

(2021) Jianhao Zhou et al.   ENERGY

MPGA-based-ECMS for energy optimization of a hybrid electric city bus with dual planetary gear

(2021) Xiaohu Yang et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING

An Improved Energy Management Strategy for Hybrid Electric Vehicles Integrating Multistates of Vehicle-Traffic Information

(2021) Hongwen He et al.   IEEE Transactions on Transportation Electrification

Driving conditions-driven energy management strategies for hybrid electric vehicles: A review

(2021) Teng Liu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Rule-interposing deep reinforcement learning based energy management strategy for power-split hybrid electric vehicle

(2020) Renzong Lian et al.   ENERGY

Hybrid Electric Vehicle Energy Management With Computer Vision and Deep Reinforcement Learning

(2020) Yong Wang et al.   IEEE Transactions on Industrial Informatics

Battery Thermal- and Health-Constrained Energy Management for Hybrid Electric Bus Based on Soft Actor-Critic DRL Algorithm

(2020) Jingda Wu et al.   IEEE Transactions on Industrial Informatics

A Deep Reinforcement Learning-Based Energy Management Framework With Lagrangian Relaxation for Plug-In Hybrid Electric Vehicle

(2020) Hailong Zhang et al.   IEEE Transactions on Transportation Electrification

Deep reinforcement learning enabled self-learning control for energy efficient driving

(2019) Xuewei Qi et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Velocity forecasts using a combined deep learning model in hybrid electric vehicles with V2V and V2I communication

(2019) JiaZheng Pei et al.   Science China-Technological Sciences

Torque-Leveling Threshold-Changing Rule-Based Control for Parallel Hybrid Electric Vehicles

(2019) Xuefang Li et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Deep Reinforcement Learning-Based Energy Management for a Series Hybrid Electric Vehicle Enabled by History Cumulative Trip Information

(2019) Yuecheng Li et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

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

(2019) Xuefeng Han et al.   APPLIED ENERGY

Parametric study on reinforcement learning optimized energy management strategy for a hybrid electric vehicle

(2019) Bin Xu et al.   APPLIED ENERGY

Optimal rule design methodology for energy management strategy of a power-split hybrid electric bus

(2019) Yue Wang et al.   ENERGY

An ANFIS-Based ECMS for Energy Optimization of Parallel Hybrid Electric Bus

(2019) Xiang Tian et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

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

(2018) Jingda Wu et al.   APPLIED ENERGY

Generative Adversarial Networks: An Overview

(2018) Antonia Creswell et al.   IEEE SIGNAL PROCESSING MAGAZINE

Adaptive Fuzzy Logic Control of Fuel-Cell-Battery Hybrid Systems for Electric Vehicles

(2018) Jian Chen et al.   IEEE Transactions on Industrial Informatics

A Bi-Level Control for Energy Efficiency Improvement of a Hybrid Tracked Vehicle

(2018) Teng Liu et al.   IEEE Transactions on Industrial Informatics

Time-Efficient Stochastic Model Predictive Energy Management for a Plug-In Hybrid Electric Bus with Adaptive Reference State-of-Charge Advisory

(2018) Shaobo Xie et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

A review of power management strategies and component sizing methods for hybrid vehicles

(2018) Yanjun Huang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Dynamic programming for New Energy Vehicles based on their work modes part I: Electric Vehicles and Hybrid Electric Vehicles

(2018) Wei Zhou et al.   JOURNAL OF POWER SOURCES

Modelling and control of hybrid electric vehicles (A comprehensive review)

(2017) Wisdom Enang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Optimal Energy Management Strategy of a Plug-in Hybrid Electric Vehicle Based on a Particle Swarm Optimization Algorithm

(2015) Zeyu Chen et al.   Energies

Velocity Predictors for Predictive Energy Management in Hybrid Electric Vehicles

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

Reinforcement Learning of Adaptive Energy Management With Transition Probability for a Hybrid Electric Tracked Vehicle

(2015) Teng Liu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Correctional DP-Based Energy Management Strategy of Plug-In Hybrid Electric Bus for City-Bus Route

(2015) Liang Li et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Varying-Domain Optimal Management Strategy for Parallel Hybrid Electric Vehicles

(2014) Yi Zhang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Optimal Equivalent Fuel Consumption for Hybrid Electric Vehicles

(2011) Namwook Kim et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Energy and Battery Management of a Plug-In Series Hybrid Electric Vehicle Using Fuzzy Logic

(2011) S. G. Li et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

On Implementation of Dynamic Programming for Optimal Control Problems with Final State Constraints

(2009) O. Sundström et al.   Oil & Gas Science and Technology-Revue d IFP Energies nouvelles