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

Abstract

A reinforcement learning-based adaptive energy management (RLAEM) is proposed for a hybrid electric tracked vehicle (HETV) in this paper. A control oriented model of the HETV is first established, in which the state-of-charge (SOC) of battery and the speed of generator are the state variables, and the engine's torque is the control variable. Subsequently, a… (More)
DOI: 10.1109/TIE.2015.2475419

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02040608020162017
Citations per Year

Citation Velocity: 19

Averaging 19 citations per year over the last 2 years.

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