Herawan, Safarudin Gazali and Martalogawa, Ismail Azizi and Saputra, Azqy Nur Farenzy and Hanif, Ahmad and Zuraida, Rida and Akop, Mohd Zaid (2024) Battery pack temperature change prediction for running BLDC 1500 W motor using artificial neural network. In: 8th International Symposium on Innovative Approaches in Smart Technologies (ISAS) 2024, 06 December 2024 through 07 December 2024, İstanbul, Turkiye.
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Battery Pack Temperature Change Prediction for Running BLDC 1500 W Motor using Artificial Neural Network.pdf Restricted to Registered users only Download (597kB) |
Abstract
The study explores the prediction of battery temperature using an artificial neural network (ANN) model, trained with experimental data from a brushless DC (BLDC) motor setup. The ANN model, with a 15-14-1 architecture, successfully predicted battery temperature change based on various input parameters, including RPM, load and voltage change of thirteen series of battery. The ANN predictions aligned closely with experimental results, demonstrating the model’s effectiveness in capturing the nonlinear behavior of battery temperature changes. These findings highlight the potential of deep learning techniques to improve real-time thermal management in BMS, offering a promising approach for extending battery life and optimizing performance in electric vehicles and energy storage systems.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | BMS, Artificial neural network, Battery pack |
| Divisions: | Faculty Of Mechanical Technology And Engineering |
| Depositing User: | Wizana Abd Jalil |
| Date Deposited: | 17 Dec 2025 02:16 |
| Last Modified: | 17 Dec 2025 02:16 |
| URI: | http://eprints.utem.edu.my/id/eprint/29331 |
| Statistic Details: | View Download Statistic |
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