Automobile working condition construction method based on greedy algorithm

Abstract

The invention discloses an automobile working condition construction method based on a greedy algorithm. The method comprises: firstly, collecting actual road driving data of an automobile, and processing abnormal data in original data; then, extracting a complete kinematics fragment of the automobile in the sampling period from the data, and selecting characteristic parameters to characterize the kinematics fragment; then, adopting a principal component analysis method to carry out dimensionality reduction on the characteristic parameters of information overlapping, according to the score of each principal component, adopting a K-means algorithm optimized by an initial clustering center to carry out fragment classification, and extracting representative kinematics fragments from each classification; and finally, on the basis of the principle of a greedy algorithm, constructing an optimal automobile driving condition by utilizing representative kinematics fragments. The method can accurately reflect the actual automobile driving condition of a city, and improves the accuracy of automobile working condition calibration.

Description

technical field [0001] The invention belongs to the technical field of traffic engineering data processing, in particular to a greedy algorithm-based automobile working condition construction method. Background technique [0002] Driving Cycle, also known as vehicle test cycle, describes the speed-time curve of vehicle driving and reflects the kinematic characteristics of vehicle driving on the road. The basis of emission test methods and limit standards is also the main benchmark for the calibration and optimization of various performance indicators of automobiles. At present, developed countries such as Europe, the United States, Japan, etc., adopt the standards adapted to their own driving conditions for vehicle performance calibration optimization and energy consumption / emission certification. [0003] At the beginning of this century, my country directly adopted the European NEDC driving conditions to certify the energy consumption / emissions of automobile products, whi...

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Problems solved by technology

However, the two most important characteristics of the working condition, the idling time ratio and the average speed, of this working condition calibration method are more different from the actual driving conditions of the car in my country.

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