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A simulation data mining method for electric vehicle charging station system

A system data and charging station technology, applied in the information field, can solve problems such as data disasters, incomplete data information, and difficulty in finding useful information, so as to meet charging needs, maximize scheduling benefits, and ensure data reliability and effectiveness. Effect

Active Publication Date: 2017-11-03
芜湖楚睿智能科技有限公司
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But a large amount of data is also prone to "data disaster", making it difficult for managers to find useful information quickly and effectively
Moreover, the traditional monitoring method is to set the threshold by the staff to check the data information, which may lead to incomplete data information and information defects.

Method used

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  • A simulation data mining method for electric vehicle charging station system
  • A simulation data mining method for electric vehicle charging station system

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Effect test

Embodiment 1

[0026] Embodiment 1: provide a kind of data mining method applicable to the charging station system of novel city electric vehicle, this method is based on fuzzy mathematics and probability statistics theory, comprises the following several steps:

[0027] Step 1: Establish a charging station system data warehouse to obtain relevant data from charging stations, mobile charging vehicles, vehicle batteries and electric vehicle users in the form of data packets.

[0028] Step 2: According to the data attributes, the data in the data warehouse is preprocessed, that is, discretely divided, and the required feature set is extracted.

[0029] Step 3: Evaluate the degree of membership of the elements in the feature set and parameterize it.

[0030] Step 4: Use fuzzy mathematics and probability statistics theory to perform data mining on the feature set to obtain the required charging demand information of users.

[0031] Step 5: Export the mined data to the outside world and feed it ...

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Abstract

The invention provides a data mining method suitable for a new type of urban electric vehicle charging station system. The method includes the following steps: establishing a data warehouse, and recording data from the charging station system and electric vehicle users in real time; classifying and preprocessing the collected data Discretization, to extract the required feature data set; use fuzzy mathematics and probability statistics theory to evaluate the element membership of the feature set and make it parameterized; calculate the parameterized set to obtain the user's charging demand and charging area, charging Time relationship matrix; extract and evaluate the results, and output the evaluation conclusions to the charging station system management center and user mobile terminals to assist decision-making, maximize the benefits of charging station planning and mobile charging vehicle scheduling, and meet the charging needs of users .

Description

technical field [0001] The invention relates to a data mining method, in particular to an electric vehicle charging station system simulation data mining method, and the invention belongs to the field of information technology. Background technique [0002] In recent years, with the depletion of petroleum energy and the aggravation of environmental pollution, the development of the automobile industry is facing major challenges. Electric vehicles use electricity as their energy source. Due to the advantages of higher energy utilization than fuel vehicles and lower pollutant emissions than ordinary internal combustion engines, the industrialization of electric vehicles has broad market prospects and is the main direction of future automotive industry development. . As an energy supply station for electric vehicles, the charging station system is an essential infrastructure for promoting the industrialization of electric vehicles. Only with a complete charging station system...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30G06Q50/06
Inventor 李衍飞
Owner 芜湖楚睿智能科技有限公司
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