"Modeling and Simulation of a Battery Management System: From Concept to Implementation"

In recent years, there has been a marked increase in the adoption of electric vehicles to reduce CO_2 and pollutant gas emissions produced by conventional internal combustion vehicles. However, one of the critical aspects of these vehicles is the energy storage in the battery, which requires constant monitoring to ensure optimal performance and prevent premature damage. The following work focuses on analyzing and developing an advanced system for monitoring and managing batteries used in electric vehicles. The main objective is to develop a Battery Management System (BMS) model by implementing a battery model consisting of eight modules in series, each of four parallel cells. The BMS plays a critical role in optimizing the performance, safety, and longevity of battery packs. The research focuses on improving the accuracy of the State of Charge (SoC) and the State of Health (SoH) estimation of the battery, the thermal management to mitigate temperature-related degradation and detect critical operating conditions, such as overvoltage, undervoltage, and overcurrent. Starting with an introduction to battery technologies, the various functions of the BMS were analyzed, implemented, and tested to check the proper functioning of the battery.