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

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

(2020) Renzong Lian et al.   ENERGY

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

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

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

Reinforcement Learning for Hybrid and Plug-In Hybrid Electric Vehicle Energy Management: Recent Advances and Prospects

(2019) Xiaosong Hu et al.   IEEE Industrial Electronics Magazine

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

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

Adaptive Hierarchical Energy Management Design for a Plug-In Hybrid Electric Vehicle

(2019) Teng Liu 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

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

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

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

Reinforcement learning for demand response: A review of algorithms and modeling techniques

(2018) José R. Vázquez-Canteli et al.   APPLIED ENERGY

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

(2016) Yuan Zou et al.   APPLIED ENERGY

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

Reinforcement Learning–Based Energy Management Strategy for a Hybrid Electric Tracked Vehicle

(2015) Teng Liu et al.   Energies

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

(2015) Zeyu Chen et al.   Energies

Gaseous Emissions from Light-Duty Vehicles: Moving from NEDC to the New WLTP Test Procedure

(2015) Alessandro Marotta et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Energy management of a power-split plug-in hybrid electric vehicle based on genetic algorithm and quadratic programming

(2013) Zheng Chen et al.   JOURNAL OF POWER SOURCES

Hybrid electric vehicles and their challenges: A review

(2013) M.A. Hannan et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A review of energy sources and energy management system in electric vehicles

(2012) Siang Fui Tie et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A Novel ECMS and Combined Cost Map Approach for High-Efficiency Series Hybrid Electric Vehicles

(2011) Volkan Sezer et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY