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

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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Bibliographic Details
Main Authors: Anbazhagan Geetha, S. Usha, J. Santhakumar, Surender Reddy Salkuti
Format: Article
Language:English
Published: AIMS Press 2025-02-01
Series:AIMS Energy
Subjects:
hybrid electric vehicle
energy management control strategies
artificial neural network
learning algorithm
lm backpropagation algorithm
Online Access:https://www.aimspress.com/article/doi/10.3934/energy.2025005
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https://www.aimspress.com/article/doi/10.3934/energy.2025005

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