Electrochemical Model and Sigma Point Kalman Filter Based Online Oriented Battery Model

This paper presents a reduced-order electrochemical battery model designed for the online implementation of control systems. The is based on porous-electrode and concentrated-solution theory frameworks able to predict voltage as well internal variables battery. reduction leads physics-based one-dimensional discrete-time state-space (ROM), which especially beneficial Models optimized around different operational setpoints are combined cell over wide range temperatures state charges (SOCs) using output-blending method. A sigma-point Kalman filter further used manage inaccuracies generated by process experimental-related issues such measurement error (noise) in current sensors. state-estimation accuracies measured against full-order (FOM) developed COMSOL. whole system track cell, SOC with very high accuracy, demonstrating its suitability an system.