Fuzzy Logic based Battery Management System for Lead Acid Batteries using Linear Least Square Regression Method
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Abstract
This paper presents a Fuzzy Logic (FL) based Battery Management System (BMS) for Lead Acid Batteries (LAB), utilising the Linear Least Square Regression Method (LLSRM) to enhance accuracy and performance. The system aims to improve battery efficiency and lifespan by precisely estimating battery states. FL is employed to address the inherent nonlinearities and uncertainties in battery behaviour, enabling more reliable predictions. LLSRM is integrated to train the FL model, further refining the accuracy of state estimations. Simulation results demonstrate the system’s effectiveness, showing significant improvements compared to traditional BMS methods. The proposed system excels in handling complex battery dynamics, ensuring more accurate predictions and robust performance.
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