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Method and device for predicting charging quantity required by electric vehicle considering urban functional area

A technology of electric vehicles and forecasting methods, which is applied in forecasting, data processing applications, complex mathematical operations, etc., and can solve problems such as inaccurate forecasting results

Pending Publication Date: 2021-02-12
NARI NANJING CONTROL SYST +7
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the deficiencies of the prior art, the present invention proposes a method and device for predicting the required charging capacity of electric vehicles in consideration of urban functional areas, which solves the problem that the existing prediction of the required charging capacity of electric vehicles only involves a certain specific scene. The problem of inaccurate prediction results

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  • Method and device for predicting charging quantity required by electric vehicle considering urban functional area
  • Method and device for predicting charging quantity required by electric vehicle considering urban functional area
  • Method and device for predicting charging quantity required by electric vehicle considering urban functional area

Examples

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Embodiment 1

[0064] A method for predicting the required charging capacity of electric vehicles considering urban functional areas, including steps:

[0065] Step 1, divide the city into different functional areas according to the different functions of the urban plots; the functional areas include: commercial areas, residential areas, office areas, public facilities areas, parks and industrial areas, etc.;

[0066] Step 2, calculate the travel matrix used to represent the arrival rate of electric vehicles in each functional area at each time according to the traffic impedance and attraction coefficient between functional areas;

[0067] The specific method includes steps:

[0068] Introduce a travel matrix to describe the arrival rate of electric vehicles at each time in each functional area (the probability that an electric vehicle entering the grid at this time will end in this area), the travel matrix for:

[0069]

[0070] In the formula, is the arrival rate of the electric ve...

Embodiment 2

[0104] A device for predicting the required charging capacity of electric vehicles considering urban functional areas, including:

[0105] The travel matrix calculation module is used to calculate the travel matrix used to represent the arrival rate of electric vehicles in each functional area at each time according to the traffic impedance and attraction coefficient between urban functional areas;

[0106] The required power prediction module is used to multiply the value of the travel matrix by the number of electric vehicles entering the grid at each time to obtain the number of electric vehicles entering the grid in each functional area at each time, and calculate the required charging capacity of the vehicle according to the distance traveled by the vehicle , and then obtain the required charging capacity of electric vehicles in each functional area at each time.

[0107] Further, the travel matrix is:

[0108]

[0109] In the formula, is the arrival rate of electri...

Embodiment 3

[0130] Such as figure 2 As shown, assume that city A has 10,000 electric vehicles. Divide 24 hours a day into 48 moments, each moment is separated by 0.5 hours, the first moment is 00:00 of the day, and the last moment is 23:30 of the day. The charging power P of a single charging pile is regarded as a constant 8kW, and the battery capacity c of a single electric vehicle max is 80kW·h, and the cruising range is d m It is 400km.

[0131] A method for predicting the required charging capacity of electric vehicles considering urban functional areas, including steps:

[0132] Step 1, divide the city into different functional areas according to the different functions of the urban plots;

[0133] The division of city A is as follows image 3 shown.

[0134] Step 2, using the improved gravity model to calculate the travel matrix;

[0135] The distances between the districts in city A are as follows:

[0136] Table 1A distance between the districts of the city (km)

[0137]...

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Abstract

The invention discloses a method and a device for predicting the charging quantity required by an electric vehicle considering urban functional areas. The method comprises the following steps: calculating a travel matrix for representing the arrival rate of the electric vehicle at each moment in each functional area according to traffic impedance and attraction coefficients between the urban functional areas; multiplying the numerical value of the travel matrix by the number of the electric vehicles entering the power grid at each moment to obtain the number of the electric vehicles entering the power grid in each functional area at each moment, calculating the required charging amount of the vehicles according to the driving distance of the vehicles, and further obtaining the required charging amount of the electric vehicles in each functional area at each moment. Through the method, the space-time distribution of the charging quantity required by the urban electric vehicles can be predicted, and reasonable planning of urban charging piles and large-scale network access scheduling of the electric vehicles are facilitated.

Description

technical field [0001] The invention belongs to the technical field of electric vehicles, and in particular relates to a method and a device for predicting the required charging capacity of electric vehicles in consideration of urban functional areas. Background technique [0002] The spatio-temporal distribution prediction of the required charging capacity of electric vehicles is to predict the required charging capacity of electric vehicles connected to the grid at various times in each area of ​​the city. [0003] At the moment when fossil fuel resources are increasingly scarce and environmental problems are prominent, compared with traditional vehicles, electric vehicles have incomparable advantages in terms of energy saving and environmental protection. According to existing research, the production and sales of electric vehicles have steadily increased year by year in recent years. In the foreseeable future, the load of electric vehicles connected to the grid will cont...

Claims

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Application Information

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IPC IPC(8): G06F17/16G06F17/18G06Q10/04G06Q10/06G06Q50/06G06Q50/26
CPCG06F17/16G06F17/18G06Q10/04G06Q10/06315G06Q50/06G06Q50/26
Inventor 陈良亮杨凤坤张卫国顾琳琳周材邵军军孙季泽陈嘉栋余洋孙广明赵明宇罗雯茜董晓霄袁越李强吴盛军
Owner NARI NANJING CONTROL SYST
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