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Capacity planning method of electric taxi charging stations by choosing destinations based on hierarchical probability

A probabilistic selection, taxi technology, applied in charging stations for mobile devices, electric vehicles, battery circuit devices, etc., can solve problems such as large model errors, low operating efficiency, and complex processes

Active Publication Date: 2016-11-16
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

Due to the scattered distribution of electric taxis and passengers in the actual operation process, if the area division is too rough, the model error will be large and it will not be practical; secondly, if the operating area is too large and the number of areas is too large, the probability of travel destination selection The validity of the calculation results will be reduced; in addition, the relative probability calculation model of area traversal used in the selection of travel destinations is complex and inefficient

Method used

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  • Capacity planning method of electric taxi charging stations by choosing destinations based on hierarchical probability
  • Capacity planning method of electric taxi charging stations by choosing destinations based on hierarchical probability
  • Capacity planning method of electric taxi charging stations by choosing destinations based on hierarchical probability

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Embodiment Construction

[0052] The implementation will be described in detail below in conjunction with the accompanying drawings.

[0053] This method is used to analyze the constant capacity problem of a charging station in a city in China. like figure 1 As shown, the specific method steps are as follows:

[0054] Step 1.1. Divide the operating area into cell units

[0055] The effective operating area of ​​the electric taxi is divided into several small areas of the same size, and the small areas are numbered in sequence. The division of small areas is required to be evenly divided according to the entire operation area, and the size of the partition must be appropriate. If the partition is too large, it may affect the accuracy of the model calculation, and if the partition is too small, the amount of model analysis and calculation will increase exponentially.

[0056] The area of ​​the city's fourth ring road is about 400km 2 , including residential areas, commercial areas, office areas, etc....

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Abstract

The invention belongs to the technical field of capacity planning for electric taxi charging stations, and relates to a capacity planning method of the electric taxi charging stations through charging demand forecasting by modeling an operation process, in which the destinations of the electric taxis are selected based on hierarchical probability. An efficient operation region of the electric taxis is divided into multiple basic cell units with the same sizes; the similar cell units are combined into a large region; the cell units and the corresponding large region are endowed with attraction degree of pollution mobility so as to determine the destinations of the electric taxis based on hierarchical probability; and the requirement can be satisfied, and the planning capacity of the charging stations is determined according to the charging demand on each charging station by the electric taxis in the operation process based on probability. By adoption of the method, the selection efficiency for the destinations of the electric taxis can be improved; the way of hierarchical selection based on the regional characteristics can be in accord with the decision-making habits of users in a better manner, so that the problems of over-fine fine granularity, high operational complexity, and low effectiveness of the calculation effect are avoided; and convenience and rapidness in the actual operation are improved.

Description

technical field [0001] The invention belongs to the technical field of electric taxi charging station capacity planning, and relates to a planning method for selecting and modeling the travel destination of electric taxis based on hierarchical probability and determining the capacity of electric taxi charging stations through charging demand prediction. Background technique [0002] In order to promote the popularization of electric vehicles, four ministries and commissions including the Ministry of Science and Technology, the Ministry of Finance, the National Development and Reform Commission, and the Ministry of Industry and Information Technology jointly launched the "Ten Cities and Thousand Vehicles" project in 2009. At that time, charging facilities had just started and the energy supply network had not yet formed. Subsidies have quickly established a number of public fast charging stations. Today, with the continuous improvement of electric vehicle technology and polic...

Claims

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Application Information

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IPC IPC(8): H02J7/00G06Q50/30
CPCH02J7/0027G06Q50/40
Inventor 师瑞峰梁子航廖振宏马源杨阳
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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