The optimization of Lithium ion battery based on an adaptive experimental design method

Abstract

Lithium ion batteries (LIB) are widely used in recent years, for example, a mobile PC, a smartphone, and an electric car. There are many design parameters for LIB such as size and material of components. Those parameters should be optimized depending on a use of LIB, which is a very difficult task because the number of combinations of design parameters is numerous and many properties of LIB should be considered simultaneously. We propose an optimization method based on an adaptive experimental design method. The probability P that a result of a simulation on a combination of design parameters will improve on the previous optimal value of an optimizing property and meet requirements of other properties is calculated in the proposed method. The combination of design parameters with the highest P-value is simulated next. The superiority of the proposed method was verified through comparison with a traditional method, and the optimized LIB could be proposed.