Driven by the rapid development of China’s new energy vehicle industry and consumer upgrading, this paper focuses on the innovation of new energy vehicle front face design. Aiming at the problems of discrete biometric feature extraction and insufficient coupling with user cognitive experience in the current biomimetic design, a multidisciplinary coupled biomimetic design method is proposed by integrating the theory of perceptual dynamics, perceptual engineering and topological analysis. First, a model of user visual cognitive process is constructed based on the theory of perceptual dynamics, which provides support for understanding the relationship between front face appearance and user experience. Second, data crawling, text mining and factor analysis, combined with cosine similarity screening, are utilized to construct a representative sample library of new energy vehicle front faces and biomorphic forms. Next, topological analysis and hierarchical analysis are applied to resolve the feature layers and contours of biological and automobile front faces, and Harris Hawk Optimization Algorithm is introduced to optimize the design parameters of (HHO), which is combined with the evaluation of target imagery and eye-movement experiments to verify the effectiveness of the scheme. Finally, based on the secondary development of Grasshopper platform, the coupled bionic design system of new energy vehicle front face driven by user’s imagery is constructed to realize the generation of diversified solutions under the parameter constraints, which provides innovative design paths for the front face of new energy vehicles with biometrics, aesthetic expressiveness, and user’s cognition, and assists the enterprises in differentiating themselves from the competition.
