Hybrid physics-data-driven online modelling: Framework, methodology and application to electric vehicles

This paper proposes a novel hybrid physics-data-driven framework for system modelling by integrating a physical model and an online learning data model to improve model accuracy, interpretability, and generalization. Taking an in-wheel Motor Driven Vehicle (IMDV) as an example, two hybrid representa...

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Veröffentlicht in:	Mechanical systems and signal processing Jg. 185; S. 109791
Hauptverfasser:	Chen, Hao, Lou, Shanhe, Lv, Chen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.02.2023
Schlagworte:	Electric vehicles Hybrid modelling Online learning Physics-data-driven method H Electric vehicles Hybrid modelling Online learning Physics-data-driven method
ISSN:	0888-3270, 1096-1216
Online-Zugang:	Volltext
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