When SoC and SoH estimations are accurate, batteries operate within their ideal electrochemical range, resulting in a longer service life, improved user satisfaction and system ROI. Volodymyr Andrushchak is a Data Science Team Lead at Lemberg Solutions and wrote this article for SAE Media. As the demand for accurate, reliable, and intelligent battery. The world's most critical industries are widely adopting battery-powered systems to achieve decarbonization goals, energy independence, and mobility. Still, like any technology, battery performance and business success depend on how well they're managed. One of the most important parameters for a BMS is the accuracy of its state-of-charge (SOC) estimation. Two main factors affect SOC. The accuracy of quantifiable metrics—temperature, voltage, and current—and the synchronization of data captured for all cells are critical inputs for the algorithms used to determine overall performance. Confidence in the accuracy of the SoC estimate allows manufacturers to safely extract more. Accurate SOC estimation is vital for preventing overcharging or over-discharging, which can significantly impact battery lifespan and safety. In electric vehicles, precise SOC monitoring is essential for maximizing battery efficiency, ensuring safe operation, and avoiding unexpected power loss.
