Lager optimization design of CFRP battery-pack enclosure using entropy-based TOPSIS approach

doi:10.19936/j.cnki.2096-8000.20241228.009

Abstract

Abstract: In order to achieve lightweight design for a new energy vehicle battery box, a lightweight and high-strength carbon fiber reinforced plastic (CFRP) was used to replace the structural material. The entropy-based TOPSIS method based on orthogonal test table was utilized for multi-objective layup optimization design. The mechanical properties of CFRP laminates were predicted using the Digimat commercial software, and their correctness was verified through mechanical performance tests. Based on laminate design criteria and equal stiffness design principles, the preliminary structural plan for the CFRP battery box was determined. Finally, the laminate layering was optimized with the goal of minimizing deformation and maximizing the first-order mode, resulting in the best performance CFRP battery box structure. The research findings indicate that the optimized CFRP battery box shell is 46.74% lighter than the original metal structure, and the overall performance of the battery box structure is also improved.

Key words: battery-pack enclosure, carbon fiber reinforced plastic, entropy-based TOPSIS approach, lightweight, multi-objective optimization

CLC Number:

TB332

SU Hailiang, MA Lianhua, ZHAN Xin, QIN Jirong, ZHANG Yanhui. Lager optimization design of CFRP battery-pack enclosure using entropy-based TOPSIS approach[J]. COMPOSITES SCIENCE AND ENGINEERING, 2024, 0(12): 62-68.

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