Impacts of Customers’ Mental Health and Emotional Psychological State on the Simulation Accuracy of Automotive Body Components
Junchi Ma, Yongbin Zhang, Shuai Zeng, Xueyun Xie, Xiangting WangAbstract
Objective
To bridge the gap between subjective perceived quality (PQ) and objective computer-aided engineering (CAE) parameters in automotive body design by integrating affective computing and Anxiety, Emotional Stress and Psychiatric Factors.
Subjects and Methods
The study proposes a comprehensive framework combining an AHP-SD-TOPSIS-AIGC multi-criteria decision model for morphological generation. It utilizes multi-modal sensor fusion (EEG, facial landmarks, and physiological metrics) within high-fidelity Driver-in-the-Loop (DiL) simulations to capture real-time emotional responses. Furthermore, implicit non-linear finite element analysis (FEA) and computational fluid dynamics (CFD) are coupled with psychoacoustic models to simulate structural and acoustic behaviors under Anxiety, Emotional Stress and Psychiatric Factors.
Results
The integrated methodology successfully translates abstract emotional semantics into precise geometric parameters. Crucially, multi-modal sensor fusion significantly enhances emotion recognition accuracy in complex driving states, improving accuracy and F1 scores by 4.49% and 9.14%, respectively. Moreover, optimized mechanical boundary conditions reduced door-closing velocity by 22.8%, effectively aligning physical responses with optimal human Anxiety, Emotional Stress and Psychiatric Factors.
Conclusions
Merging affective computing with rigorous CAE simulations effectively eliminates the reality gap in vehicle design. This paradigm shift enables the creation of emotionally intelligent, human-centric vehicles that dynamically adapt to users' physiological states, ensuring superior perceived quality and systemic safety. By conducting research on improving the finite element simulation accuracy of vehicle body component performance, the product quality and safety performance have been enhanced, thereby increasing customer satisfaction and confidence, and effectively alleviating customers' psychological issues—such as emotional disorders, anxiety, and negative emotional stress—arising from concerns over product quality.
Corresponding Author
Junchi Ma, School of Mechanical Engineering, Hefei University of Technology, Hefei, 230009, China; Anhui Jianghuai Automobile Group Co., Ltd., Hefei, 230000, China