Vehicle Handling Indexes Mining and Consistency of Subjective and Objective Evaluation

摘要

Automobile becomes more and more personalized and humanized on the promise of safety, comfort, energy saving, environmental protection. This trend requires the OEM grasp the consumers' functional demands and psychological needs clearly, cascade and predict the developing automobile's performance accurately during the automobile design and development phase, and realize the top down design with modular, digital and intelligent technology. The handling is one of the key performance for vehicle dynamics, and the establishment of vehicle handling evaluation system is essentially a non-linear classification problem with big data, many-to-many and tight coupling. This paper is intended to explore a simple handling objective-index-mining method and establish a good-consistency of handling subjective and objective evaluation. The 12 core handling objective indexes are extracted and the consistency of the handling subjective and objective evaluation is up to 80% once the sample size is over 120 via the proposed mothed, and the reduced order model are derived with consistency of 70%.