Lightweight Design of Composite Battery Case Upper Cover Based on NSGA-II Algorithm

Jianqiao Li; Yan Peng

doi:10.54097/9fsb2x44

Authors

Jianqiao Li
Yan Peng

DOI:

https://doi.org/10.54097/9fsb2x44

Keywords:

Finite Element Analysis, Surrogate Model, Lightweight, Multi-Objective Optimization, NSGA-II Algorithm, Battery Pack Upper Cover

Abstract

In response to the lightweight demand for battery packs of new energy vehicles and the development of composite flame-retardant technology, this paper proposes a multi-objective optimization method for composite upper covers based on the NSGA-II algorithm. Firstly, the mechanical properties of aluminum alloy materials and two types of composite materials are compared. Then, a battery pack model is established and preprocessed, and the thickness of the composite upper cover is calculated according to the equal stiffness approximation theory. Subsequently, the partitioned thickness of the upper cover is set as a variable to determine the optimization objectives, and the optimal Latin hypercube design method is used to generate sample points. By comparing the accuracy of three surrogate models, namely Response Surface Methodology (RSM), Kriging, and Radial Basis Function (RBF), the RSM surrogate model is selected as the optimal one. Furthermore, the RSM model is substituted into the NSGA-II algorithm to solve the multi-objective optimization model, and finally the optimal scheme for the thickness of the composite upper cover is obtained. The optimization results show that within the range of modal error less than 0.1Hz, the mass of the structural part is reduced by 1.99kg, representing a 15% mass reduction. This demonstrates the lightweight effect and feasibility of the method, and verifies the application potential of the composite material in the field of battery cases.

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