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Sequence Training and Data Shuffling to Enhance the Accuracy of Recurrent Neural Network Based Battery Voltage Models

Abstract

Battery terminal voltage modelling is crucial for various applications, including electric vehicles, renewable energy systems, and portable electronics. Terminal voltage models are used to determine how a battery will respond under load and can be used to calculate run-time, power capability, and heat generation and as a component of state estimation approaches, such as for state of charge. Previous studies have shown better voltage modelling …

Authors

Chen J; Kollmeyer P; Panchal S; Masoudi Y; Gross O; Emadi A

Volume

1

Publisher

SAE International

DOI

10.4271/2024-01-2426

Name of conference

SAE Technical Paper Series

Conference proceedings

SAE Technical Papers

ISSN

0148-7191