Improved State-of-Charge and State-of-Health Algorithms for Battery Management Systems

Battery management system (BMS) technology has taken a vital part in the electrical industries, specifically in renewable energy resources, electric vehicles (EV) and mobile robots. BMS has a variety of applications, monitoring the State of Charge (SOC) and the State of Health (SOH) are discussed in this paper. A new model based on control algorithms is proposed, and battery current and voltage are involved in the process. A few of the current approaches are being mentioned but just focus on a few methods. In detail, the SOC from the Extended Kalman Filter has an accuracy almost similar to the real-time performance. Moreover, the State of Health’s performance is inverse to that of the State of Charge. Besides that, all the following methods are examined in detail for the estimation and real-time performance, furthermore, estimation errors are also being carefully examined to enhance the battery accuracy.