Bestimator™: a novel model-based algorithm for robust estimation of battery SoC

Accurately estimating the state of charge of batteries is an essential part of battery management systems. Indeed, it conditions the ability to maintain the battery in a safe region with respect to ageing, and to ensure service availability when needed. This paper presents Bestimator™, CSEM's novel estimation algorithm. This algorithm builds on a robust, interpretable electrical circuit model of the battery, and uses an extended Kalman filter to estimate the state of charge and correct parameters. Benchmarking against state-of-the-art estimators shows that Bestimator™ outperforms them by immediately reaching and maintaining over time an estimation error below 2%.