Integrated State of Charge and State of Health Method for Operating Range Prediction in Electric Vehicles

Research on the battery of electrical vehicles is exponentially increasing. Real-time operating range prediction is a significant research problem. According to the literature, the operating range is predicted by only the State of Charge (SOC) value of the battery. Such methods result in a prediction error of 0.5% within 449 km, leading to uncertainty for the driver. By integrating SOC and SOH by operating range formula, the proposed MATLAB model includes the degradation rate of the battery with the charge level. For instance, the operating range is always predicted as 449 km with only SOC value. Whereas, the predicted operating range decreases to 447 km with the integrated SOC and SOH method. Thus, this method enhances accuracy and reliability. Lithium-ion battery characteristics, including nominal voltage and SOC, are considered in the model. Simulation results demonstrate a gradual decrease in operating range over time, exhibiting a slope of 0.000333333x + 363.3333.