This study is based on response surface methodology for multi-objective optimization of the buffering and energy absorption characteristics of thin-walled conical components. Firstly, establish a response surface analysis mathematical model and select 36 sample points with 2 factors and 6 levels through a full factor experimental design; Then, finite element simulations were conducted using ANSYS/LS-DYNA to construct response surface models for three objectives: peak response acceleration, total energy absorption, and mass to mass energy absorption; The optimal design parameter combination was ultimately obtained through multi-objective optimization, with a wall thickness of 0.7 mm and a base angle of 65 °, achieving the best buffering and energy absorption performance of the component.