Design Of A 48V 13S Battery Management System For Enhanced Electric Vehicle Performance

State of Charge (SOC) estimation plays a vital role in electrical vehicles’ performance. With the help of estimated SOC the driving range, State of Health (SOH), energy and power limits can be determined. The conventional way of estimating SOC doesn’t include the sensor and process noise measurements. In this light, the model and data-driven- based methods served better accuracy in estimating SOC considering all the effects. Besides, the primary step will be the modeling of the battery with consideration of all the behavioral effects of the battery. Further, using MATLAB Simulink, the model is developed and executed under New European Drive Cycle (NEDC). The performance of the battery is analyzed using the coulomb counting method. Later the analysis can be extended in the direction of Kalman filter algorithms