Charging pile optimization layout method based on real driving data of electric vehicle

A technology for electric vehicles and driving data, applied in electric vehicle charging technology, electric vehicles, charging stations, etc., can solve the problem of charging pile utilization rate without considering the convenience of consumer charging piles

Active Publication Date: 2018-07-17
WUHAN UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Existing research mainly focuses on the optimization of the investment cost of electric vehicle charging stations, without considering the convenience of consumers using charging piles and the utilization rate of charging piles after they are built.

Method used

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  • Charging pile optimization layout method based on real driving data of electric vehicle
  • Charging pile optimization layout method based on real driving data of electric vehicle
  • Charging pile optimization layout method based on real driving data of electric vehicle

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Embodiment Construction

[0013] In order to facilitate the understanding and implementation of the present invention by those of ordinary skill in the art, the present invention will be further described in detail with reference to the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0014] Please see figure 1 , The present invention provides a charging pile optimization layout method based on real driving data of electric vehicles, which is characterized in that it includes the following steps:

[0015] Step 1: Use big data analysis methods to analyze the real driving data of all electric vehicles, and filter out the parking distribution of electric vehicles;

[0016] The data items of the actual driving data of the electric vehicle in this embodiment include: vehicle number, travel number, travel start time, travel end time, travel dist...

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Abstract

The present invention discloses a charging pile optimization layout method based on real driving data of an electric vehicle. The method comprises: firstly, using the analysis method of big data to analyze the real driving data of all electric vehicles, and screening out the parking distribution of the electric vehicles; setting a time threshold value, selecting the location where the parking timeexceeds the threshold value from the parking distribution and fitting the location as a candidate location of the charging pile; and finally taking the number of charging pile locations actually required for construction, the rated cruising range of the electric vehicle and the like as constraints so as to reduce the number of over-discharges of electric vehicle power batteries, and using the meta-heuristic algorithm to obtain the global optimal scheme, that is, the optimal layout scheme of the charging pile. The example shows that the method can quickly and effectively select the charging pile location, and can meet the convenience of charging and the high utilization rate of the charging facility.

Description

Technical field [0001] The invention belongs to the technical field of new energy vehicles, and relates to a method for optimizing the layout of charging piles for electric vehicles, and in particular to a method for optimizing the layout of charging piles based on real driving data of electric vehicles. Background technique [0002] As a green transportation tool with broad development prospects, electric vehicles can replace petroleum with electric energy, which can achieve "zero emission" with low noise. It is an important means to solve the future oil crisis and environmental problems. Electric vehicle charging infrastructure is an important part of the electric vehicle industry chain. The advancement of electric vehicle charging infrastructure construction will strongly promote the development of electric vehicles. [0003] At present, the research on charging facilities planning has made preliminary results. Some documents have established a multi-objective optimization model...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06B60L11/18
CPCB60L53/31G06Q10/043G06Q50/06Y02T10/70Y02T10/7072Y02T90/12Y02T90/14
Inventor 黄妙华陶冶
Owner WUHAN UNIV OF TECH
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