most citedAdaptive Energy Management for Real Driving Conditions via Transfer Reinforcement Learning

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2 papers

eess.SY2020★ 1 cited

Adaptive Energy Management for Real Driving Conditions via Transfer Reinforcement Learning

Teng Liu, Wenhao Tan, Xiaolin Tang +2

This article proposes a transfer reinforcement learning (RL) based adaptive energy managing approach for a hybrid electric vehicle (HEV) with parallel topology. This approach is bi…

eess.SP2020

Transferred Energy Management Strategies for Hybrid Electric Vehicles Based on Driving Conditions Recognition

Teng Liu, Xiaolin Tang, Jiaxin Chen +3

Energy management strategies (EMSs) are the most significant components in hybrid electric vehicles (HEVs) because they decide the potential of energy conservation and emission red…