An intelligent Battery Management System for an electric vehicle powered by solar PV array

Challoob, Ali Falih, Bin Rahmat, Nur Azzammudin, Ramachandaramurthy, Vigna K., Saeed, Nagham ORCID logoORCID: https://orcid.org/0000-0002-5124-7973 and Humaidi, Amjad Jaleel (2025) An intelligent Battery Management System for an electric vehicle powered by solar PV array. In: International Universities Power Engineering Conference (UPEC), 02-06 September 2024, Cardiff, United Kingdom.

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Abstract

Implementing a Battery Management System (BMS) in Electric Vehicles (EVs) offers several benefits that enhance the efficiency, security, and durability of the vehicle's battery system. The BMS oversees and controls the performance of each cell in the battery pack, guaranteeing that they function within predetermined voltage and temperature thresholds to maintain safety. In this paper, an intelligent BMS for an EV model powered by a solar PV array was proposed using a fuzzy logic (FL) controller. The proposed method was applied to EVs consisting of four Lithium-ion batteries. The simulation results are achieved using MATLAB/Simulink software. The estimation of the state of charge (SOC) for each battery was used as input to the FL which controls the discharging/ charging mode for each battery via power semiconductor switches. Three different scenarios are used to verify the suggested method. A full control FL operation was obtained, and the batteries were protected successfully against overcharging and over-discharging.

Item Type: Conference or Workshop Item (Paper)
ISBN: 9798350379730
Identifier: 10.1109/UPEC61344.2024.10892594
Identifier: 10.1109/UPEC61344.2024.10892594
Keywords: Battery management system, Solar PV, Fuzzy logic, State of Charge, Electric vehicle
Subjects: Construction and engineering > Electrical and electronic engineering
Depositing User: Mary Blomley
Date Deposited: 03 Apr 2025 14:44
Last Modified: 04 Apr 2025 08:30
URI: https://uwl-9.eprints-hosting.org/id/eprint/13418

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