To select appropriate lightweight materials and optimize their integration with
battery enclosure components for enhanced performance and weight reduction, this
study proposes a material selection strategy driven by mechanical property
indices combined with the CRITIC-weighted TOPSIS method. Initially, a decision
matrix incorporating bending stiffness indices was established based on the
deformation characteristics of battery enclosures, focusing on commonly used
metallic materials. The CRITIC-weighted TOPSIS method was employed to
standardize data dimensions, determine objective weight coefficients, and
calculate relative closeness coefficients for candidate material screening.
Subsequently, sensitivity analysis identified critical components significantly
influencing operational conditions, followed by integrated material and
dimensional optimization to determine the optimal solution. The optimized
battery enclosure achieved a weight reduction of 15.56 kg, with a reduction rate
of 33.39%, while maintaining compliance with static/dynamic performance
requirements and safety standards. This methodology demonstrates effective
coordination between material selection and structural optimization in
lightweight design applications.
