Global Sensitivity Analysis of Aging Parameters for a Lithium-ion Battery Cell using Optimal Charging Profiles

A challenge with Lithium-ion battery (LIB) cells is to study the impact of degradation parameter variations on the model outputs. These parameters not only contribute to battery aging, but also their accurate identification is crucial to enhance battery management systems design. This paper employs a global sensitivity analysis technique to analyze the impact of kinetic, design, and solid-electrolyte interphase (SEI) aging parameters on two different outputs, i.e., cell voltage and charge capacity. The cell is modeled via a coupled nonlinear partial and ordinary differential equations, and differential algebraic equations representing the electrochemical, thermal, and aging dynamics of a LIB cell via the enhanced single particle model (ESPM). To perform the analysis, we adopt different optimal currents at three ambient temperatures to achieve fast charging-minimum degradation profiles. The analysis shows that anode active phase volume fraction, anode reaction rate constant, and solvent reduction kinetic constant are the most sensitive parameters for both outputs.