Data-Driven State of Charge Estimation for Lithium-Ion Batteries Based on Polynomial Surface Fitting Under Dynamic Driving Cycles
Accurate state-of-charge (SOC) estimation is essential for battery management systems (BMSs) under dynamic operating conditions. This study proposes a lightweight data-driven SOC estimation framework based on a tensor-product bivariate polynomial surface. During offline model identification, the reference SOC and measu...