Ee, Yen-Jie and Tey, Kok Soon and Lim, Kok Sing and Shrivastava, Prashant and Syed Adnan, Syed Bahari Ramadzan and Ahmad, Harith (2021) Lithium-Ion battery State of Charge (SoC) estimation with non-electrical parameter using uniform Fiber Bragg Grating (FBG). Journal of Energy Storage, 40. ISSN 2352-152X, DOI https://doi.org/10.1016/j.est.2021.102704.
Full text not available from this repository.Abstract
Conventional SoC estimation methods mainly rely on electrical parameters such as the current and voltage of the battery. However, recent studies have shown that the non-electrical parameters such as strain and temperature that have non-linear relationships with the battery SoC can be adopted for SoC estimation. In this work, the use of non-electrical parameters for SoC estimation using Deep Neural Network (DNN) was proposed. Fiber Bragg Grating (FBG) sensors are employed for the simultaneous measurement of strain and temperature of the battery. Besides, Pseudohigh-Resolution interrogation (PHRI) method is adopted for demodulating the output spectra to improve the detection accuracy of the small wavelength signals from the FBG sensors. Our findings have shown a great improvement in the FBG signal quality based on a high up-sampling rate, k in the spectral processing using PHRI. This has a significant impact on the performance of the SoC estimation using DNN. In the comparison with SoC estimation based on electrical parameters, the proposed model based on non-electrical parameters has a better estimation performance.
Item Type: | Article |
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Funders: | UNSPECIFIED |
Uncontrolled Keywords: | State-of-Charge (SoC) estimation; Lithium-ion battery; Fiber Bragg Grating sensors; Battery strain monitoring; Deep Neural Network |
Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) |
Divisions: | Centre for Foundation Studies in Science Faculty of Computer Science & Information Technology Faculty of Science > Department of Physics Deputy Vice Chancellor (Research & Innovation) Office > Photonics Research Centre |
Depositing User: | Ms Zaharah Ramly |
Date Deposited: | 08 Aug 2022 06:53 |
Last Modified: | 08 Aug 2022 06:53 |
URI: | http://eprints.um.edu.my/id/eprint/28387 |
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