Multi-objective optimization design of B-pillar and rocker sub-systems of battery electric vehicle

B-pillar and rocker are the key force transmission sub-systems of side impact battery electric vehicle (BEV), scholars have studied crashworthiness these body a lot. However, works insufficient on analysis benchmarking models, simulation experiment sub-systems, optimization sub-systems. To make up shortcomings, this work aims to design improve BEV. It presents systematic method The dynamic bending performance in analyses experiments. materials, structures, two eleven benchmark models studied. Minimizing structural mass cost as well maximizing mean crushing performed based multi-objective artificial tree algorithm optimize rocker. optimized applied As result, is significantly improved, their optimal solution templates provided. BEV also improved under advanced European mobile deformable barrier oblique pole impact. Some interesting conclusions for presented. In summary, has obvious reference value automotive engineers further study lightweight