Automobile running working condition judgment system and judgment method thereof

Abstract

The invention belongs to the technical field of intelligent automobile running environment perception, and discloses an automobile running working condition judgment system and a judgment method of the automobile running working condition judgment system. The method comprises the steps that the parameters of the speed and pedal opening degree of an automobile are selected to be treated, character parameters in speed signals and pedal signals representing the working condition are extracted, the character parameters are firstly reduced for the first time through a correlational analysis method, the first fifteen parameters with largest correlation and the working condition are selected for correlation analysis, ten character parameters are selected from large to small according to the correlation as the standard for dividing the working condition, then the ten character parameters are reduced for the second time through kernel principal component analysis, character parameter values are reduced to seven, and finally the running working condition of the automobile is classified based on the semi-supervised nucleus fuzzy C-mean value clustering analysis of an objective function. According to the system and method, the judgment speed is high and accurately, the fuel consumption and tail gas emissions in the automobile running process can be reduced through the judgment result, and the system and method have great significance in the study of various new automobile type development, dynamic property matching of the whole automobile and the like.

Description

technical field [0001] The invention belongs to the technical field of intelligent vehicle driving environment perception, and in particular relates to a vehicle driving condition discrimination system and a discrimination method thereof. Background technique [0002] Vehicle driving conditions are the speed-time curves that describe vehicle driving. Vehicle driving conditions provide an important theoretical basis for determining vehicle exhaust emissions, fuel consumption, development of various new vehicle technologies, and vehicle power matching. Currently, the worldwide driving cycle includes the US driving cycle, the European driving cycle and the Japanese driving cycle. my country's automobile emissions adopt European emission standards, but due to the different road traffic conditions in different cities, there are differences in the driving conditions of automobiles, and the use of uniform standards cannot accurately reflect the driving conditions of a certain city...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem of feature parameter extraction and feature parameter reduction in the identification of vehicle driving conditions; and because of the large difference between the fixed working condition and the actual working condition in the design of the vehicle control method, the designed control method cannot make the To solve the problem of achieving the best fuel economy and emissions under actual working conditions, the present invention provides a vehicle driving condition discrimination system and its discrimination method. Condition

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