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Electric Vehicle Charging Behavior Prediction Method Based on Network Data

A technology of electric vehicles and forecasting methods, applied in forecasting, data processing applications, complex mathematical operations, etc., can solve problems such as easy obstruction of charging behavior, insufficient charging facilities, and impact on the promotion and application of electric vehicles, and achieve comprehensive analysis and real-time optimization and improvement Effect

Inactive Publication Date: 2021-02-26
BEIHANG UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the lack of charging facilities for electric vehicles, the queuing of charging piles and the long charging time, etc., the charging behavior is easily blocked, which seriously affects the promotion and application of electric vehicles.

Method used

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  • Electric Vehicle Charging Behavior Prediction Method Based on Network Data
  • Electric Vehicle Charging Behavior Prediction Method Based on Network Data
  • Electric Vehicle Charging Behavior Prediction Method Based on Network Data

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Embodiment Construction

[0026] The following is a clear and complete description of the technical method of the present invention when it is implemented in combination with the flow chart of the present invention, based on the historical Internet of Vehicles data of electric vehicles in Beijing, and selected some vehicles in August 2015.

[0027] Step 1: Preprocess the historical network data. The historical network data of electric vehicles in Beijing mainly includes terminal number, charging and discharging status, mileage, power battery SOC, discharge current, longitude, latitude, mileage and collection time, etc. The time interval of each set of driving data is 10s. Preprocess the collected driving data information, standardize the data format, fill in missing data, and eliminate wrong information.

[0028] Step 2: Extract the electric vehicle travel chain information. The travel chain generally describes the process of residents starting from home and returning home. Based on experience, the ch...

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Abstract

This patent discloses a method for predicting the charging behavior of electric vehicles based on Internet connection data, including: step 1, preprocessing historical network connection data; step 2, extracting electric vehicle travel chain information; step 3, analyzing electric vehicle charging behavior The potential influencing factors; step four: determine the significant factors affecting the charging behavior of electric vehicles; step five, establish a charging behavior prediction model based on the significant influencing factors; step six, predict the charging behavior of electric vehicles.

Description

technical field [0001] The invention relates to a method for predicting the charging behavior of electric vehicles based on network data, and belongs to the field of predicting the charging behavior of electric vehicles. Background technique [0002] With the rapid development of my country's economy, the number of urban motor vehicles continues to grow. According to the information released by the National Bureau of Statistics, by the end of 2016, the number of motor vehicles in the country reached 290 million. The huge number of motor vehicles and the rapid growth rate of the number of motor vehicles have brought great challenges to the supply of motor vehicle fuel. The annual fuel consumption of motor vehicles across the country has exceeded 160 million tons, and the ensuing traffic pollution problem has become more and more serious. Taking Beijing as an example, motor vehicle exhaust emissions have contributed more than a quarter to air pollution. [0003] In this conte...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/06G06F17/18
CPCG06F17/18G06Q10/04G06Q50/06
Inventor 于海洋张路任毅龙季楠刘帅杨刚刘晨阳
Owner BEIHANG UNIV