| Issue |
E3S Web of Conf.
Volume 547, 2024
International Conference on Sustainable Green Energy Technologies (ICSGET 2024)
|
|
|---|---|---|
| Article Number | 03006 | |
| Number of page(s) | 4 | |
| Section | Energy | |
| DOI | https://doi.org/10.1051/e3sconf/202454703006 | |
| Published online | 09 July 2024 | |
Performance Analysis of Electrical Vehicles Batteries using Kalman Filter
1 GSSS Institute of Engineering and Technology for Women, Mysuru, India
2 Aditya Engineering College, Surampalem, India
* Corresponding author: divyasuki03@gmail.com
The lithium-ion (Li-ion) battery plays a crucial role in the performance of electric vehicles, owing to its unique properties and compact size. To ensure the prolonged lifespan of these batteries, it is imperative for users to exercise additional precautions. The variable load torque applied to the Permanent Magnet Synchronous Motor (PMSM) drive, influenced by diverse road conditions, adds complexity to the scenario. Assessing the State of Charge (SoC) of the Li-ion battery proves to be a significant challenge, given the multitude of electrical sensors and mechanical components involved in the operation of electric vehicles (EVs). In such instances, the SoC may be subject to noisy measurements, leading to performance degradation of the battery over time. This paper proposes the utilization of the Kalman filter to estimate the actual SoC from the noisy measurements, relying on indirect measurements as a basis for improved accuracy.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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