Adaptive Energy Management Strategy Based on Deep Reinforcement Learning for Extended-range Electric Vehicles

Hu, S.; Wu, Xiaodong; Li, Jie

doi:10.1109/cvci54083.2021.9661213

2021 5th CAA International Conference on Vehicular Control and Intelligence (CVCI) 2021

DOI: 10.1109/cvci54083.2021.9661213

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Adaptive Energy Management Strategy Based on Deep Reinforcement Learning for Extended-range Electric Vehicles

S. Hu

Xiaodong Wu

Jie Li

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2024

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Reinforcement Learning-Based Energy Management for Hybrid Power Systems: State-of-the-Art Survey, Review, and Perspectives

Tang,

Chen,

Qin

et al. 2024

Chin. J. Mech. Eng.

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The new energy vehicle plays a crucial role in green transportation, and the energy management strategy of hybrid power systems is essential for ensuring energy-efficient driving. This paper presents a state-of-the-art survey and review of reinforcement learning-based energy management strategies for hybrid power systems. Additionally, it envisions the outlook for autonomous intelligent hybrid electric vehicles, with reinforcement learning as the foundational technology. First of all, to provide a macro view of historical development, the brief history of deep learning, reinforcement learning, and deep reinforcement learning is presented in the form of a timeline. Then, the comprehensive survey and review are conducted by collecting papers from mainstream academic databases. Enumerating most of the contributions based on three main directions—algorithm innovation, powertrain innovation, and environment innovation—provides an objective review of the research status. Finally, to advance the application of reinforcement learning in autonomous intelligent hybrid electric vehicles, future research plans positioned as “Alpha HEV” are envisioned, integrating Autopilot and energy-saving control.

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Reinforcement Learning-Based Energy Management for Hybrid Power Systems: State-of-the-Art Survey, Review, and Perspectives

Tang,

Chen,

Qin

et al. 2024

Chin. J. Mech. Eng.

View full text Add to dashboard Cite

show abstract

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Adaptive Energy Management Strategy Based on Deep Reinforcement Learning for Extended-range Electric Vehicles

Cited by 1 publication

References 12 publications

Reinforcement Learning-Based Energy Management for Hybrid Power Systems: State-of-the-Art Survey, Review, and Perspectives

Reinforcement Learning-Based Energy Management for Hybrid Power Systems: State-of-the-Art Survey, Review, and Perspectives

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