A neural network-based ECMS for optimized energy management of plug-in hybrid electric vehicles

For plug-in hybrid electric vehicles, the equivalent consumption minimum strategy is typically regarded as a battery state of charge reference tracking method. Thus, the corresponding control performance is strongly dependent on the quality of state of charge reference generation. This paper propose...

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Veröffentlicht in:	Energy (Oxford) Jg. 243; S. 122727
Hauptverfasser:	Chen, Zhihang, Liu, Yonggang, Zhang, Yuanjian, Lei, Zhenzhen, Chen, Zheng, Li, Guang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 15.03.2022 Elsevier BV
Schlagworte:	Back propagation Back propagation networks batteries Bayesian analysis Bayesian regularization neural network Bayesian theory Consumption Dynamic programming electric power Electric vehicles energy Energy efficiency Energy management Equivalence Equivalent factor online correction Fuel consumption Fuel economy Hybrid electric vehicles Intelligent equivalent consumption minimum strategy Neural networks Optimization Plug-in hybrid electric vehicles prediction Regularization State of charge Strategy Equivalent factor online correction Intelligent equivalent consumption minimum strategy Bayesian regularization neural network Plug-in hybrid electric vehicles
ISSN:	0360-5442, 1873-6785
Online-Zugang:	Volltext
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