Research On Design Strategy Of Intelligent Function Of Vehicle Based On The Scenario Model And User Requirement

As an important part of the new four modernization,vehicle intelligence refers to the application of highly intelligent technologies such as AI control,advanced sensing technology,5G communication,and Internet of Vehicles in automobiles.As user requirements change from functional satisfaction to experience,intelligent function applications that increase human driving comfort are becoming more and more frequent.In addition,the country actively promotes the development of intelligent vehicles,and the entire automotive industry is investing in automotive intelligent technology research.However,due to the lack of a systematic evaluation model and judgment basis for intelligent functions,a large amount of investment in R&D and design of intelligent functions does not match the real needs of users,which directly leads to product development failure.The research goal of this paper is to establish a set of mixed models based on scenarios and user requirements,to provide a complete set of methods for intelligent design of vehicles.In traditional product design,it is often designed for user requirements or product attributes in a single dimension,ignoring the impact of scenario factors on user requirements and usage behavior.Scenario refers to a collection of factors such as the environment,behavior,and usage status of the user when using the product.For intelligent vehicle design,this paper combines scenarios,users and product dimensions,then,proposes a mixed model of scenarios and user needs.The model consists of three parts,which are requirement analysis,function evaluation and comprehensive design.In this paper,the following work is carried out to establish a hybrid model.First,a three-dimensional requirement evaluation model is established,which takes into account the impact of the scenario on user requirements and broadens the evaluation dimension;second,a scenario impact degree calculation method based on the entropy weight method is proposed to quantify the influence of scenario factors on user behavior Third,the semantic quantification method is proposed to deal with the uncertain information in functional evaluation.Fourth,the intelligent functional evaluation model is established,and the functional design priority is determined on the basis of balancing enterprise resources,user satisfaction and product competitiveness level.Aiming at the above models,the research process of this paper is as follows: First,a user requirement analysis sub-model is established based on the scenario theory,an improved scenario analysis method is used to obtain user demand functions in various scenarios,and the entropy weight method is used to calculate the scene impact degree.Then,the integration of rough number,KANO model and priority coefficient and other methods to establish an intelligent function evaluation sub-model,according to the user’s importance evaluation of the function,get the function importance ranking of various scenarios,comprehensive scenario influence,output intelligent function design scheme that best matches the user’s requirements.Finally,select representative models according to market acceptance,and analyze the degree of intelligence of models based on the functional scheme proposed in this paper.The research results show that the higher the degree of intelligence of models,the higher the market acceptance,which verifies the effectiveness of the models and functional solutions proposed in this paper.