Implementation of real-time energy management strategy based on reinforcement learning for hybrid electric vehicles and simulation validation

Abstract

To further improve the fuel economy of series hybrid electric tracked vehicles, a reinforcement learning (RL)-based real-time energy management strategy is developed in this paper. In order to utilize the statistical characteristics of online driving schedule effectively, a recursive algorithm for the transition probability matrix (TPM) of power-request is… (More)
DOI: 10.1371/journal.pone.0180491

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