Analysis of impact of operating conditions on lithium‐ion battery performance using in silico design of experiments

Abstract

Lithium‐ion battery technology has established itself as a reliable energy storage mechanism over the past decade. Nevertheless, it faces challenges, including safety concerns, prolonged charging duration, and capacity fade. A significant cause of these issues is the degradation reactions within the battery, which are influenced by conditions such as ambient temperature, charging rate, and voltage. In order to understand the performance of lithium‐ion batteries at different operating conditions, a reaction engineering‐based electrothermal battery model was developed. Design of experiments (DoE) methodology was employed to plan and analyze in silico experiments. This approach modeled battery degradation parameters based on operating conditions, enhancing the understanding of their impact on battery health and facilitating the identification of optimal operating parameters. Results showed that the model could generalize for different lithium‐ion battery systems, and the DoE approach provided insights into the performance of battery systems under various operating conditions.