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Charging station site selection method based on fuzzy hierarchical profit analysis

A technology of fuzzy hierarchy and analysis hierarchy, applied in instruments, data processing applications, forecasting, etc., can solve problems such as the small overall stock of new energy vehicles, the misplaced layout of vehicle piles, and the average utilization rate of charging facilities is less than 10%.

Pending Publication Date: 2020-10-20
SICHUAN ZHONGDIAN AOSTAR INFORMATION TECHNOLOGIES CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current vehicle-to-pile ratio still exceeds 3:1 and there is a dilemma of vehicle-to-pile dislocation layout. In addition, the overall stock of new energy vehicles is small, and the average utilization rate of charging facilities is less than 10%. The recovery period of charging station construction projects is long and the profit margin is limited.
[0003] At present, most of the site selection schemes for charging stations only consider some of the influencing factors. Using a site selection method has certain disadvantages and cannot accurately and comprehensively reflect the overall situation of the candidate address

Method used

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  • Charging station site selection method based on fuzzy hierarchical profit analysis
  • Charging station site selection method based on fuzzy hierarchical profit analysis
  • Charging station site selection method based on fuzzy hierarchical profit analysis

Examples

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Embodiment 1

[0049] This embodiment proposes an example based on the calculation of a site selection scheme in a certain area, such as figure 1 , figure 2 As shown, the specific steps are as follows:

[0050] Step 1: Analyze information such as business circles, planning, and competition in a designated area, and combine land availability to build a database of alternative addresses.

[0051] Step 2: Analyze various factors that affect the site selection of new energy charging stations, and build a differentiated index system. Based on the analytic hierarchy process, the weight set corresponding to each influencing factor is established to reflect the importance of each factor. The weight meets the normalization condition and passes the consistency check.

[0052] Step 3: Use fuzzy evaluation method for comprehensive evaluation. The evaluation set of the evaluation model is established, and the fuzzy evaluation matrix is ​​established according to the expert evaluation results, in whic...

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Abstract

The invention provides a charging station site selection method based on fuzzy hierarchical profit analysis. Site selection is carried out by taking profit as a foothold, fuzzy evaluation is carried out by fully considering a plurality of factors influencing construction and operation of the charging station, and the optimal site selection is calculated by combining historical data and experienceestimation profit conditions of operated stations.

Description

technical field [0001] The invention belongs to the field of data analysis and calculation, and in particular relates to a location selection method for charging stations based on fuzzy hierarchical profit analysis. Background technique [0002] According to the industry forecast in the "Medium and Long-Term Development Plan for the New Energy Automobile Industry (2021-2035)" (Draft for Comment), the sales of new energy vehicles will account for 25% of the total sales of the year in 2025, and it is expected to exceed 7 million units. The volume will exceed 20 million. At present, there is a problem with the mileage of new energy vehicles. It is an urgent need for users to be able to charge in a timely and fast manner. Various capitals have invested in the construction of charging stations. However, the current vehicle-to-pile ratio still exceeds 3:1 and there is a dilemma of vehicle-to-pile dislocation layout. In addition, the overall stock of new energy vehicles is small, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/0637G06Q10/06393G06Q50/06
Inventor 郭晶丁西傅世勇田攀唐冬来阮正平佘文魁
Owner SICHUAN ZHONGDIAN AOSTAR INFORMATION TECHNOLOGIES CO LTD
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