30, October 2025

Dual EKF Approach for Robust SoC Estimation in Electric Motorcycle Braking Systems

VOLUME-11; ISSUE-10; OCT-2025

Author(s): Lakshmipriya Kalidasan, GAnanthi

Authors Affiliations:

1. Student, Dept. of ECE, Thiagarajar College of Engineering, Madurai, India

2. Associate Professor, Dept. of ECE, Thiagarajar College of Engineering, Madurai, India,

DOIs:10.2015/IJIRMF/202510003     |     Paper ID: IJIRMF202510003


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The paper deals with the estimation of state of charge by means of Dual Extended Kalman filter in an Electric Motor braking system. One Extended Kalman filter is applicable for estimating State of charge in electric motor braking system. Another Extended Kalman filter is applicable for estimating the internal resistance of the Lithium Ion battery. The regenerative friction braking system in electric motorcycles used for analyzing the state of charge by recovering energy of the vehicle due to its temperature generated in braking. The recurring energy produced by braking may have a negative impact on the battery lifetime if energy management is not properly managed. It is due to large energy density and minimum emissions, lithium ion batteries are commonly employed in electric vehicles. It is important to estimate the accurate state of charge of the battery, as a component of the battery management system can assure energy distribution provides safe battery use. The Thevenin equivalent circuit model is used to construct the battery parameters are found using the forgetting value calculated from the recursive least squares algorithm. The simulation of State of charge is implemented using Extended Kalman filter and the results are compared with existing kalman filters using MATLAB Simulink.

Electric Vehicle, State of charge, Kalman filter, Regenerative braking, Thevenin Circuit

Lakshmipriya Kalidasan,  GAnanthi (2025); Dual EKF Approach for Robust SoC Estimation in Electric Motorcycle Braking Systems, International Journal for Innovative Research in Multidisciplinary Field, ISSN(O): 2455-0620, Vol-11, Issue-10, Pp.  18-25.        Available on –   https://www.ijirmf.com/

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