Battery Management System for E-Vehicle using Kalman Filter

Author:

Balachander K,Amudha A,Naveen KT

Abstract

Abstract For safe and proper battery management system the main aspect is to do a optimization of SOC which is State-of-Charge estimation. This paper gives you the maximum achievement of BMS with the electric vehicle Lithium ion Battery. Kalman filter design is implemented in this in order to reduce the mechanical noise and further voltage and current ripples where the man aim of this research work using Kalman is that it must have some proper sequence like a proper electronics and electrical model to get rid of the noises and ripples, thus the models current state and its system design is verified where it can apply to all sorts of problems and can apply to all such current manufacturers. From this point of view, we implemented a design which matches the output source of Kalman filter design and takes the less time for giving the accurate output. Hence the simulation with the Kalman filter design and its respective needed electronics components are therefore simulated and programmed by the MATLAB Simulink.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Estimation of Lithium-ion Battery State of Charge Using Recursive Least Squares Method;2024 4th International Conference on Smart Grid and Renewable Energy (SGRE);2024-01-08

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