| MS TSA Meeting

Name of the Speaker: Mr. Abhisek Panda (EE19S022)
Guide: Prof. Mahesh Kumar
Venue: CSD-308 (Conference Hall)
Online meeting link: https://meet.google.com/pvd-gcqs-ddb
Date/Time: April 18th 2024 (Thursday), 3:30 PM
Title: Power Management of Hybrid Storage System in Electric Vehicle using Rule-based Filtering Technique.

Abstract

Electric vehicles are becoming increasingly popular because they are environmentally beneficial. The battery serves as the energy source in an electric vehicle due to its high energy density. However, it has a limitation in terms of low power density. Battery life is reduced when exposed to high peak power demand brought on by frequent vehicle acceleration and deceleration. Therefore, the battery is integrated with a supercapacitor to fulfill the high-power requirement. A power management algorithm is needed to effectively utilize both the battery and supercapacitor. This work proposes a power management scheme based on a rule-based filtering technique. The algorithm uses the current division factor based on the instantaneous power loss minimization technique to reduce the system's energy loss. In addition, the algorithm uses a novel control approach, which includes a low-pass filtering approach to regulate the supercapacitor SoC. With the proposed algorithm, the improvement is seen in terms of battery power loss and energy loss compared to the existing rule-based algorithm. The algorithm's workings and the comparison study are validated through MATLAB/SIMULINK. The experimental studies validated the feasibility of the proposed scheme.