Simulated Solar Assisted Battery Management System with Fuzzy Temperature Control, Flyback Converter Active Cell Balancing Circuit and Coulomb Counting SoC Estimation Method using MATLAB Simulink

Abstract

This paper presents a simulated Battery Management System or BMS design with fuzzy temperature control, active cell balancing, and state of charge estimation using the coulomb counting method to increase system runtime and safely optimize battery usage of a lithium-ion battery pack as these types of batteries are highly used for modern electric vehicles which are increasing in current market demand. The simulation software used is MATLAB Simulink and the system is taking charging inputs from a 220VAC in the charging process while in the discharging process, the solar panel will act as the input for charging. The simulation results show that the features mentioned earlier positively impact the system in doing its intended outcome and benefits by comparing the systems with and with the aforementioned features. Furthermore, Mean Absolute Percentage Error or MAPE was used to determine the reliability of the SoC estimation as compared to the True SoC.