Simulation based design of lithium Ion battery configuration using Bayesian optimization

Abstract

The performance of a lithium ion battery is determined not only by materials of the electrode and electrolyte, but also by geometry and topology of the battery cell structure. Each individual component of the battery can be specified with certain design parameters, which in turn determine the performance of the complete battery. In this thesis, major geometric parameters that have major influence on battery performance are identified. A new global optimization technique, Bayesian optimization, is utilized to search the optimum geometric parameters such as electrode thickness and electrode-electrolyte interface. Electrochemical models of lithium ion batteries are applied to predict properties. This investigation demonstrated that Bayesian optimization is an efficient method to perform battery components and configuration design.