Battery pack temperature change prediction for running BLDC 1500 W motor using artificial neural network
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 paramet...
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| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2024
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| Online Access: | http://eprints.utem.edu.my/id/eprint/29331/1/Battery%20Pack%20Temperature%20Change%20Prediction%20for%20Running%20BLDC%201500%20W%20Motor%20using%20Artificial%20Neural%20Network.pdf http://eprints.utem.edu.my/id/eprint/29331/ http://ieeexplore.ieee.org/document/10845741 |
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| author | Herawan, Safarudin Gazali Martalogawa, Ismail Azizi Saputra, Azqy Nur Farenzy Hanif, Ahmad Zuraida, Rida Akop, Mohd Zaid |
| author_facet | Herawan, Safarudin Gazali Martalogawa, Ismail Azizi Saputra, Azqy Nur Farenzy Hanif, Ahmad Zuraida, Rida Akop, Mohd Zaid |
| author_sort | Herawan, Safarudin Gazali |
| building | UTEM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknikal Malaysia Melaka |
| content_source | UTEM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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. |
| format | Conference or Workshop Item |
| id | my.utem.eprints-29331 |
| institution | Universiti Teknikal Malaysia Melaka |
| language | en |
| publishDate | 2024 |
| record_format | eprints |
| spelling | my.utem.eprints-293312025-12-17T02:16:37Z http://eprints.utem.edu.my/id/eprint/29331/ Battery pack temperature change prediction for running BLDC 1500 W motor using artificial neural network Herawan, Safarudin Gazali Martalogawa, Ismail Azizi Saputra, Azqy Nur Farenzy Hanif, Ahmad Zuraida, Rida Akop, Mohd Zaid 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. 2024 Conference or Workshop Item PeerReviewed text en http://eprints.utem.edu.my/id/eprint/29331/1/Battery%20Pack%20Temperature%20Change%20Prediction%20for%20Running%20BLDC%201500%20W%20Motor%20using%20Artificial%20Neural%20Network.pdf 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. http://ieeexplore.ieee.org/document/10845741 |
| spellingShingle | Herawan, Safarudin Gazali Martalogawa, Ismail Azizi Saputra, Azqy Nur Farenzy Hanif, Ahmad Zuraida, Rida Akop, Mohd Zaid Battery pack temperature change prediction for running BLDC 1500 W motor using artificial neural network |
| title | Battery pack temperature change prediction for running BLDC 1500 W motor using artificial neural network |
| title_full | Battery pack temperature change prediction for running BLDC 1500 W motor using artificial neural network |
| title_fullStr | Battery pack temperature change prediction for running BLDC 1500 W motor using artificial neural network |
| title_full_unstemmed | Battery pack temperature change prediction for running BLDC 1500 W motor using artificial neural network |
| title_short | Battery pack temperature change prediction for running BLDC 1500 W motor using artificial neural network |
| title_sort | battery pack temperature change prediction for running bldc 1500 w motor using artificial neural network |
| url | http://eprints.utem.edu.my/id/eprint/29331/1/Battery%20Pack%20Temperature%20Change%20Prediction%20for%20Running%20BLDC%201500%20W%20Motor%20using%20Artificial%20Neural%20Network.pdf http://eprints.utem.edu.my/id/eprint/29331/ http://ieeexplore.ieee.org/document/10845741 |
| url_provider | http://eprints.utem.edu.my/ |