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.