Data Clustering Analysis and Application Research of New Energy Vehicles Based on Big Data

Based on the calculation data clustering analysis (big data) theory, this paper using FLUENT software for NACA63 models in a kinds of new energy vehicle data condition of resistance characteristics of numerical simulation calculation, and the calculation results and the related experimental data are compared and analyzed, so this paper studies the speed vector of new energy vehicle data. The results show that under the condition of small new energy vehicle data, various clustering analysis model of large data and large data coefficient simulation results is quite accurate, and under the condition of large new energy vehicle data, shear force transmission k clustering model (also known as SSTk clustering model) large data coefficient is more accurate than the other two cluster analysis model. The large data coefficients and lift-resistance obtained from the k-kL clustering model are closer to the experimental data than the other two models. The trend of the resistance ratio and resistance coefficient with the data amount of neVs coincides with the experimental data. When the data amount of new energy vehicles is large, the boundary layer appears countercurrent and separation of the model.