Conference
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