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Space mapping-assisted optimization of a thin-walled honeycomb structure for battery packaging
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Space mapping-assisted optimization of a thin-walled honeycomb structure for battery packaging
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Journal Article
Space mapping-assisted optimization of a thin-walled honeycomb structure for battery packaging
2020
Overview
A new thin-walled honeycomb structure for Li-ion battery packaging is designed and optimized in this study. Compared with other battery packaging structures, the designed honeycomb structure described here uses a grid to reinforce its strength. At the same time, the weight is reduced to improve the energy density of the entire package. Moreover, the new thin-walled structure can better protect the internal battery and improve the safety of an electric vehicle (EV). A space mapping (SM) algorithm is used to efficiently optimize the thin-walled honeycomb structure due to the expensive computational cost of each evaluation of a fine FE model. Compared with other SM algorithms, the coarse model of SM is based on a pseudo-plane-strain model. The result shows that the magnitude of stress and the distribution of stress are significantly improved compared with the initial structure. Moreover, the computational cost of optimization for the problem is also decreased significantly due to importing the coarse model.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V
