New vehicle driving cycle construction method

A vehicle driving and construction method technology, applied in the field of new vehicle driving conditions construction, can solve the problems of vehicle selection dependence, poor practicability, low-dimensional space Euclidean distance is not suitable for complex processing, etc., to make up for the low clustering accuracy, The effect of the reasonable case construction method

Active Publication Date: 2017-08-18
CHINA AUTOMOTIVE TECH & RES CENT +1
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Problems solved by technology

For example, the division of the weight of the speed interval is mainly based on the total duration of each speed interval segment, which leads to the final construction of the working condition that is overly dependent on the selection of the vehicle and has poor practicability
In addition, the c-means clustering algorithm often used in existing methods is not suitable for dealing with complex problems due to the use of Euclidean distance in low-dimensional space

Method used

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Embodiment Construction

[0040] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0041] In describing the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", The orientations or positional relationships indicated by "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientation or positional relationships shown in the drawings, and are only for the convenience of describing the present invention Creation and simplification of description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore should not be construed as limiting the invention. In addition, the terms "first", "second", etc. are used for descriptive purposes only, and should no...

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Abstract

The invention provides a new vehicle driving cycle construction method, which comprises the following steps: carrying out processing on collected vehicle driving data and dividing velocity sections; calculating weight of each velocity section based on traffic volume big data; and forming a final driving cycle curve according to time length of each velocity section. The mode of using kernel fuzzy c-means clustering to classify short segments is higher in precision than a conventional method; and the weight of each velocity section is calculated based on the traffic volume big data, so that the method can better accord with actual situation of a vehicle driving in a city, and the defects of an existing city comprehensive working condition method in the aspects of clustering accuracy and velocity section weight determination are solved effectively.

Description

technical field [0001] The invention belongs to the field of transportation, and in particular relates to a new method for constructing vehicle driving conditions. Background technique [0002] Vehicle driving conditions are an important basic standard in the automotive industry, an important design input in the development of automotive products, the main benchmark for the calibration and optimization of various performance indicators of vehicles, and the basis for emission and fuel consumption certification. At present, when my country conducts light vehicle emission and fuel consumption certification, it uses the European driving conditions (NEDC). However, there are big differences between China and European countries in terms of traffic conditions, rules, driving habits and professionalism of drivers. Therefore, the NEDC operating conditions cannot fully reflect the actual driving conditions of vehicles in my country. In addition, due to the unbalanced development of ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G08G1/052
CPCG08G1/0112G08G1/0125G08G1/052
Inventor 刘昱徐月云李孟良贺可勋
Owner CHINA AUTOMOTIVE TECH & RES CENT
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