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Method for constructing automobile driving condition

A technology of driving conditions and automobiles, applied in the field of transportation, to achieve good practical value, easy to implement, and reasonable design effects

Pending Publication Date: 2020-01-21
LIAONING TECHNICAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Aiming at the shortcomings of manual classification, the application of principal component analysis and K-means cluster analysis methods in the construction of actual vehicle driving conditions in a city is studied, including: data preprocessing, division of kinematic segments, and construction of vehicle driving conditions

Method used

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  • Method for constructing automobile driving condition
  • Method for constructing automobile driving condition
  • Method for constructing automobile driving condition

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Embodiment Construction

[0037] The specific implementation of the present invention will be described in detail below in conjunction with the accompanying drawings. As a part of this specification, the principles of the present invention will be described through examples. Other aspects, features and advantages of the present invention will become clear through the detailed description. In the referenced drawings, the same reference numerals are used for the same or similar components in different drawings.

[0038] Such as Figure 1-8 As shown, the present invention proposes a method for constructing vehicle driving conditions, including data preprocessing, dividing kinematic segments, and constructing vehicle driving conditions;

[0039] The data preprocessing refers to the use of Python language programming to supplement and modify the missing and abnormal data in the vehicle driving data, mainly using the abnormal data marked and the Lagrangian interpolation method to repair the bad data, and fin...

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Abstract

The invention discloses a method for constructing an automobile driving condition, which comprises the following steps: preprocessing data, and supplementing and modifying missing and abnormal data inautomobile driving data by adopting Python language programming; dividing kinematics segments, dividing the driving process between every two adjacent parking points during actual driving of the vehicle into short strokes, and each short stroke being composed of an idling part and a driving part; constructing an automobile driving condition, and selecting a short stroke in a random mode in a clustering result on the basis of principal component analysis and K-mean clustering analysis processing short stroke characteristic parameters. According to the method, in the construction process of theactual driving condition of the vehicle, in order to obtain the actual driving condition of the characteristic value on the corresponding road traffic, kinematics fragments are classified according to the road traffic characteristic parameters. Aiming at the defects of manual classification, the application of principal component analysis and K-mean clustering analysis methods in construction ofactual vehicle driving conditions of a certain city is researched, and the method is reasonable in design and easy to implement and has good practical value.

Description

technical field [0001] The invention belongs to the technical field of transportation, and in particular relates to a method for constructing driving conditions of a vehicle. Background technique [0002] Vehicle driving condition, also known as vehicle test cycle, is the speed at which a certain type of vehicle (such as passenger car, bus, etc.) describes the vehicle's driving characteristics in a specific traffic environment (such as expressway, urban road, etc.) - time curve. The driving condition is to investigate the driving status of the vehicle on the actual road, collect data, and process and analyze the collected data. At present, developed countries such as Europe, the United States, and Japan all adopt the standards of vehicle driving conditions for vehicle performance optimization and energy consumption / emission certification. [0003] At present, my country adopts the European NEDC standard for driving conditions, but with the gradual increase of car ownership...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/16G06F17/18G06K9/62
CPCG06F17/16G06F17/18G06F18/2135G06F18/24
Inventor 南敬昌陶成健王艺扉曹馨元
Owner LIAONING TECHNICAL UNIVERSITY
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