Year: 2025
Type: article
Abstract: Due to the rising demand for battery-operated electrical vehicles (EVs) and equipment, it has become essential to establish a system that is continuously monitoring and managing the performance of each battery. This article presents the design of Battery Management System (BMS) based on intelligent fuzzy logic controller (FLC). The development of battery models and design of FLC is performed within the environment of MATLAB programming software. The FL controller uses the monitored signals of the battery, represented by state of charge (SOC), state of health (SOH) and temperature (Temp) as the input variables, which are processed within fuzzification and defuzzification stages inside the FL platform to yield crisp outputs. The effectiveness of proposed controller has been assessed under two types of member functions (MFs): triangular MF and Gaussian MF. As compared to other existing control techniques in the literature, the proposed FLC outperforms these control schemes in terms of charging time. Moreover, the numerical results showed that FLC based on Gaussian MF gives better performance as compared to that based on triangular MF in terms of accuracy and charging time.
Institutions: Middle Technical University, University of Technology - Iraq
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,186
OpenAlex ID: W4409409929