Practicability analysis of online deep reinforcement learning towards energy management strategy of 4WD-BEVs driven by dual-motor in-wheel motors

Deep reinforcement learning (DRL) has emerged as a promising approach for optimizing energy management strategies (EMS) in new energy vehicles. Nevertheless, existing studies typically focus on evaluating the performance of a particular algorithm, overlooking critical implementation details and lack...

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Veröffentlicht in:	Energy (Oxford) 2024-03, Vol.290, p.130123, Article 130123
Hauptverfasser:	Feng, Zhiyan, Zhang, Qingang, Zhang, Yiming, Fei, Liangyu, Jiang, Fei, Zhao, Shengdun
Format:	Artikel
Sprache:	eng
Schlagworte:	4WD-BEV algorithms Deep reinforcement learning energy Energy management strategy four-wheel drive In-wheel motor Practicability analysis taxonomy vehicles (equipment)
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