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Urban electric bus driving condition construction method based on improved K-means

A driving condition, electric bus technology, applied in the direction of combustion engine, internal combustion piston engine, instrument, etc., can solve the problem that the result falls into local optimum, and achieve the effect of long running time, simple use and easy realization

Active Publication Date: 2020-02-18
HEFEI UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, it solves the problem that the result of K-means algorithm is easy to fall into local optimum.

Method used

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  • Urban electric bus driving condition construction method based on improved K-means
  • Urban electric bus driving condition construction method based on improved K-means
  • Urban electric bus driving condition construction method based on improved K-means

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Embodiment Construction

[0041] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0042] like figure 1 The overall flow chart shown in the figure takes a typical large city in China as an example to construct the driving conditions of urban electric buses.

[0043] 1. Data research

[0044] The traffic flow of different bus routes at different time periods can be obtained through methods such as mobile phone network data information, consulting data, on-site inspections, and reading road surveillance videos.

[0045] 2. Bus route selection and data collection

[0046] According to the urban road network information, the selected four lines. They have few overlapping road sections, and the route length is reasonable. The traffic characteristics cover...

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Abstract

The invention discloses an urban electric bus driving condition construction method based on improved K-means, and the method comprises the following steps: A, carrying out the investigation of bus routes in a city, and screening a plurality of typical bus routes; step B, adding a sensor on the selected bus to obtain required data: time information-vehicle running speed; step C, preprocessing theacquired data; step D, dividing a short stroke and calculating a characteristic value; e, performing data dimension reduction through principal component analysis; step F, carrying out improved binaryK-means clustering analysis; and step G, selecting similar working conditions and synthesizing driving working conditions. An analysis result shows that the driving condition of the electric motor coach in a certain city established based on the improved binary K-means algorithm can more accurately reflect the characteristics of urban road traffic.

Description

technical field [0001] The invention belongs to the field of driving conditions of electric passenger cars, in particular to a method for constructing driving conditions of urban electric passenger cars based on improved K-means. Background technique [0002] In recent years, with people's emphasis on energy crisis and environmental protection issues, the development of new energy vehicles has become a hot spot in industry research. At the same time, the number of new energy buses is also increasing, and the importance of establishing exclusive driving conditions for new energy buses is becoming more and more prominent. [0003] At present, the driving conditions of passenger cars at home and abroad are mostly established based on the driving data of fuel vehicles, and fuel buses and electric buses are significantly different in power, so it is necessary to establish exclusive driving conditions for electric buses. In addition, as far as the established method is concerned,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/26G06K9/62
CPCG06Q10/04G06Q50/26G06F18/23213Y02T10/40
Inventor 张炳力程啸宇方涛程进李傲伽张成标郑平平卢晓涛
Owner HEFEI UNIV OF TECH
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