Optimization of honeycomb battery package based on space mapping algorithm

A new honeycomb battery package structure is designed in this study. It’s a honeycomb structure but using a grid to reinforce its strength. It can not only satisfy the requirements of strength but also reduce the mass of battery package. To obtain the highly accurate finite element (FE) model, the material parameters of 18650 cylindrical Li-ion battery are identified by using optimization techniques based on flat compression test data. Due to the expensive cost of finite element evaluation, the space mapping (SM) algorithm is suggested to optimize the structure of the package. Compared with other space mapping algorithms, the coarse model of space mapping is based on a pseudo-plane-strain model. Moreover, to guarantee the reliability, the mean and variance values of battery stress are used to be the objective function. The final optimum shows that the maximum stress of inner battery is decreased from 32.1733MPa to 12.9642MPa, the mean of battery stress is decreased from 5.3231MPa to Email: [email protected], Tel 86-731-88821417, Fax 86-731-88821807 3.5836MPa and the variance is decreased from 5.9944 to 4.3904. It means the magnitude of stress and the distribution of stress are improved significantly. Keyword: Li-ion battery package; Optimization; Simulation; Space mapping(SM) algorithm