Pure electric vehicle driving condition construction method

Abstract

The invention discloses a pure electric vehicle driving condition construction method, which comprises the following steps of performing data acquisition on a pure electric vehicle driving condition, dividing a test route into a plurality of short-stroke segments, and obtaining characteristic parameters of the pure electric vehicle driving condition from the plurality of short-stroke segments; carrying out nonlinear dimensionality reduction on the characteristic parameters of the driving condition of the pure electric vehicle through kernel principal component analysis, classifying the characteristic parameters after nonlinear dimensionality reduction through a hybrid clustering method, and screening a plurality of short-stroke fragments according to the classification result in combination with the condition duration weight of each category and the Pearson's correlation coefficient; constructing a plurality of candidate working conditions of the pure electric vehicle; and calculating and comparing the relative error value and the SAPD frequency value of the characteristic parameters in the plurality of candidate working conditions of the pure electric vehicle, and constructing the driving working condition of the pure electric vehicle. The working condition construction precision is higher, the actual driving characteristics of the electric vehicle can be better reflected, and the consistency of the obtained working condition curve and the actual working condition is higher.

Description

technical field [0001] The invention belongs to the technical field of transportation, in particular to a method for constructing driving conditions of pure electric vehicles. Background technique [0002] The driving condition of a vehicle is a speed-time curve representing a specific traffic environment and a specific vehicle driving characteristic. Driving conditions are a common core technology in the automotive industry, which can be used in the design, development, evaluation and testing of automobiles. [0003] The international standard working conditions are generally used in various vehicle test conditions in China. At present, the Chinese working conditions are being promoted as reference standards but have not yet been popularized. Since the driving characteristics of electric vehicles and traditional fuel vehicles are quite different, and the China Light Vehicle Test Condition (CLTC-P) represents the average characteristics of light vehicles, it is necessary to...

AI Technical Summary

Problems solved by technology

Moreover, the unreasonable division principle of short-stroke segments in the existing short-stroke construction method leads to the fact that the obtained working conditions cannot more truly and comprehensively reflect the actual driving characteristics of electric vehicles.

In the traditional short-stroke method, the evaluation criteria for the construction of working conditions are single, and only one working condition curve can be synthesized through principal component analysis and cluster analysis, which cannot fully guarantee that the final constructed working condition curve is representative

Images