Forecasting of energy consumption rate and battery stress under real-world traffic conditions using ANN model with different learning algorithms

Estimating energy consumption rates is a necessary step when building infrastructure for charging and schedule optimization of battery-powered vehicles utilized in public urban driving patterns. This study examined several input factors for the prediction of vehicle performance. Input conditions wer...

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Veröffentlicht in:	AIMS energy Jg. 13; H. 1; S. 125 - 146
Hauptverfasser:	Geetha, Anbazhagan, Usha, S., Santhakumar, J., Salkuti, Surender Reddy
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	AIMS Press 01.01.2025
Schlagworte:	artificial neural network energy management control strategies hybrid electric vehicle learning algorithm lm backpropagation algorithm
ISSN:	2333-8334, 2333-8334
Online-Zugang:	Volltext
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