A Deep Reinforcement Learning-Based Energy Management Strategy for Fuel Cell Hybrid Buses

Comparative Study of Powertrain Hybridization for Heavy-Duty Vehicles Equipped with Diesel and Gas Engines

(2020) Ilya Kulikov et al.   Energies

Route Planning and Power Management for PHEVs With Reinforcement Learning

(2020) Qian Zhang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Data-driven reinforcement-learning-based hierarchical energy management strategy for fuel cell/battery/ultracapacitor hybrid electric vehicles

(2020) Haochen Sun et al.   JOURNAL OF POWER SOURCES

Deep reinforcement learning based energy management for a hybrid electric vehicle

(2020) Guodong Du et al.   ENERGY

Reinforcement learning-based intelligent energy management architecture for hybrid construction machinery

(2020) Wei Zhang et al.   APPLIED ENERGY

Online Recursive Power Management Strategy Based on the Reinforcement Learning Algorithm With Cosine Similarity and a Forgetting Factor

(2020) Xinyou Lin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

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

Heuristic Dynamic Programming Based Online Energy Management Strategy for Plug-In Hybrid Electric Vehicles

(2019) Jichao Liu et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Energy management of hybrid electric bus based on deep reinforcement learning in continuous state and action space

(2019) Huachun Tan et al.   ENERGY CONVERSION AND MANAGEMENT

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

Intelligent energy management for hybrid electric tracked vehicles using online reinforcement learning

(2019) Guodong Du 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

Multi-step reinforcement learning for model-free predictive energy management of an electrified off-highway vehicle

(2019) Quan Zhou et al.   APPLIED ENERGY

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

Optimal Power Management Based on Q-Learning and Neuro-Dynamic Programming for Plug-in Hybrid Electric Vehicles

(2019) Chang Liu et al.   IEEE Transactions on Neural Networks and Learning Systems

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

(2018) Jingda Wu et al.   APPLIED ENERGY

Reinforcement learning-based real-time power management for hybrid energy storage system in the plug-in hybrid electric vehicle

(2018) Rui Xiong et al.   APPLIED ENERGY

Online Markov Chain-based energy management for a hybrid tracked vehicle with speedy Q-learning

(2018) Teng Liu et al.   ENERGY

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

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

Rule-based energy management for dual-source electric buses extracted by wavelet transform

(2018) Mei Yan et al.   JOURNAL OF CLEANER PRODUCTION

Energy Management Strategy for a Hybrid Electric Vehicle Based on Deep Reinforcement Learning

(2018) Yue Hu et al.   Applied Sciences-Basel

Real-time application of Pontryagin’s Minimum Principle to fuel cell hybrid buses based on driving characteristics of buses

(2017) Chunhua Zheng et al.   International Journal of Precision Engineering and Manufacturing-Green Technology

Reinforcement learning-based real-time energy management for a hybrid tracked vehicle

(2016) Yuan Zou et al.   APPLIED ENERGY

Multi-objective energy management optimization and parameter sizing for proton exchange membrane hybrid fuel cell vehicles

(2016) Zunyan Hu et al.   ENERGY CONVERSION AND MANAGEMENT

Rule-based power distribution in the power train of a parallel hybrid tractor for fuel savings

(2016) Hyun-Sub Lee et al.   International Journal of Precision Engineering and Manufacturing-Green 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

Comparison of PMP and DP in fuel cell hybrid vehicles

(2014) C. H. Zheng et al.   INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY

Approximate Pontryagin’s minimum principle applied to the energy management of plug-in hybrid electric vehicles

(2013) Cong Hou et al.   APPLIED ENERGY

Prolonging fuel cell stack lifetime based on Pontryagin's Minimum Principle in fuel cell hybrid vehicles and its economic influence evaluation

(2013) C.H. Zheng et al.   JOURNAL OF POWER SOURCES

Optimal control in the power management of fuel cell hybrid vehicles

(2011) C.H. Zheng et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

Fuel economy evaluation of fuel cell hybrid vehicles based on equivalent fuel consumption

(2011) C.H. Zheng et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

Optimal Control of Hybrid Electric Vehicles Based on Pontryagin's Minimum Principle

(2010) Namwook Kim et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

A quick evaluating method for automotive fuel cell lifetime

(2008) P PEI et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

Energy management strategy based on fuzzy logic for a fuel cell hybrid bus

(2008) Dawei Gao et al.   JOURNAL OF POWER SOURCES