A Systematic Approach for Rapid Battery State of Charge Measurement and Estimation

The rapid development of a wide variety of energy storage devices has given prominence to the importance of battery State of Charge (SOC) measurement techniques. To eliminate power shortage concerns and improve energy efficiency, users cannot know the real-time battery power usage without measuring the remaining battery SOC timely and accurately. This paper proposes a systematic approach on rapid battery SOC measurement and estimation, which includes a reconfigurable control and measurement platform as well as a data-driven model to deal with rapid battery SOC estimation. The data-driven model consists of several intelligent algorithms that can estimate battery SOC using data acquired from pre-defined quick tests. It is demonstrated that the estimation error of this approach is within 3%. More importantly, the SOC estimation results can be obtained in less than one minute.