Inheritance And Varitation Research Of Passenger Vehicle Appearance Feature Based On Intelligent Computing

With the increasingly severe passenger vehicle market competition, manufacturers make products as brand spokesperson gradually in order to outstanding brand image. Meanwhile, globalization of market competition, personalization of customer demand and relative surplus of production shorten the product life cycle. For the suvival and development, enterprises have to take production and design mode with low cost and quick response to provide new products to keep key characeristics. Traditional design mode mainly rely on market research data and subjective experience judgment, the influence of product history on the subsequent development and various and changeable consumer demand cannot be objectively reflected, which have became a bottleneck restricted the passenger vehicle design. Based on product identity and intelligent computing, the appearance feature research is carried out. Passenger vehicle form forecasted by data-driven and colour decision is made by muti-users’ preferences, which are contributed to the construcion of passenger vehicle design methods. The main contents are as follows:(1) Through theoretical analysis, such as brand and product identity, product appearance feature, passenger vehicle design method, intelligent comuting and design, a method framework is established about the inheritance and variation of passenger vehicle apperance feature.(2) According to the vehicle form inheritance characteristics, vehicle type evolutional axis is set up; Vehicle form feature lines are extracted and quantized. The subsequent vehicle form is forecasted through the historical data of former generation. Vertical affinity and horizontal homogeneity are existed in the eovlutional process of vehicle form, the form forecasting including longitudinal and cross evolution. Different intelligent model are set up in order to improve the predicted accuracy of a poor samples, irregular and volatility data about form feature evolutional data. The improved Grey Model is combined with BP neural network in the forecasting process of longitudinal evolution, Markov chain is used to amend the prediction results. In the forecasting process of cross evolution, system latency parameter and time-varying parameter are introduced into the general nonlinear grey Bernoulli model. Input the predicted data back to Alias software, obtain the vehicle form evolutional results.(3) According to the vehicle color variation characteristics, a exterior colour design method in accordance with multi-users’ preferences is proposed. Multi-users are divided into the group of diveristy and oneness because of the characteristics of diverstiy and oneness. Firstly passenger vehicle colour image database are built. In diversity group, Chaos theory and swarm intelligent algorithm are adopted to optimize the artificial neural network parameters and the internal correlation between users’ color images and color samples is explored, the colour prediction model is established and KHM cluster method is used to extract the selected ones from the predicted colors, which are applied to solving the colour decision problem of diveristy multi-users’ preferences. In oneness group, factor analysis and manual dimensionality reduction are used to simplify and construct a mapping coordinate, which provides the correspondences between users’ color images and color samples. PSO is used to optimized oneness multi-uses’ preferences. The optimized multi-uses’ preferences is input into the mapping coordinate. The nearest color sample position is considered as the needed exterior color matching with oneness multi-uses’ preferences mostly.(4) The integrated model and methods about inheritance and variation of passenger vehicle apperance feature are proposed, which are applied to the appearance research project of Zhonghua H530 of Brilliance Auto Group. The feasibility and effectiveness of the presented integrated model are demonstrated. The integrated model benefits the formation of produtct appearance style and good product differentiation or identification for Chinese passenger vehicle joint or independent production enterprise.