A New Method for the Development of the Driving Cycle for Light-Duty Vehicles

To construct a representative driving cycle for light-duty vehicle, a new method has been proposed based on the PCA and t-SNE algorithm and K-means clustering algorithm in this paper. This method not only greatly reduces the computational pressure, but also retains more useful nonlinear characteristic information. It shows that the speed-acceleration frequency distribution of the driving cycle is basically consistent with the sample data with a relative error within ±4%, and the average relative error of the overall characteristic parameters is about 3.21%. These indicate the effectiveness and accuracy of our new method. © 2020 Totem Publishers Ltd. All rights reserved.