Bayesian optimization for hyper-parameter tuning of an improved twin delayed deep deterministic policy gradients based energy management strategy for plug-in hybrid electric vehicles

Hybridization and electrification of vehicles are underway to achieve Net-zero emissions for road transport. The upcoming deep reinforcement learning (DRL) algorithm shows great promise for the efficient energy management of PHEVs, as it provides the potential to achieve theoretical optimal performa...

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Vydané v:	Applied energy Ročník 381; s. 125171
Hlavní autori:	Wang, Jinhai, Du, Changqing, Yan, Fuwu, Hua, Min, Gongye, Xiangyu, Yuan, Quan, Xu, Hongming, Zhou, Quan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.03.2025
Predmet:	algorithms Bayesian optimization Bayesian theory brittleness energy Energy management strategy hybridization issues and policy Non-parametric reward function Plug-in hybrid electric vehicles road transportation Twin Delayed Deep Deterministic Policy Gradients Twin Delayed Deep Deterministic Policy Gradients Energy management strategy Non-parametric reward function Bayesian optimization Plug-in hybrid electric vehicles
ISSN:	0306-2619
On-line prístup:	Získať plný text
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