An electric vehicle energy consumption prediction method and system based on big data fusion

A technology of electric vehicles and forecasting methods, applied in forecasting, data processing applications, electrical digital data processing, etc., can solve problems such as low accuracy of energy consumption forecasting methods and difficult acquisition of required parameters

Active Publication Date: 2019-04-02
BEIJING INST OF TECH XINYUAN INFORMATION TECH CO LTD
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Problems solved by technology

[0007] The purpose of the present invention is to provide an electric vehicle energy consumption prediction method and system based on big data fusion to solve the problems that the

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  • An electric vehicle energy consumption prediction method and system based on big data fusion
  • An electric vehicle energy consumption prediction method and system based on big data fusion
  • An electric vehicle energy consumption prediction method and system based on big data fusion

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[0082] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0083] The purpose of the present invention is to provide a method and system for predicting energy consumption of electric vehicles based on big data fusion, so as to solve the problems that the required parameters in the process of energy consumption prediction of electric vehicles are difficult to obtain and the accuracy of existing energy consumption prediction methods is low.

[0084] In order to make the above objects, features and advantages of the prese...

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Abstract

The invention discloses an electric vehicle energy consumption prediction method and system based on big data fusion. The method includes firstly, performing decoding, cleaning, interposition on historical data of vehicle operation, dividing the processed vehicle operation data into driving state data and charging state data; and carrying out data fusion on the driving state data and the corresponding environment information data, thereby obtaining an energy consumption level prediction parameter set required by model training and an energy consumption prediction process, and solving a problemthat parameters required by an electric vehicle in an energy consumption prediction process are not easy to obtain. Wherein the energy consumption level prediction parameter set comprises complex driving conditions and driving environment parameters in the actual driving process of the vehicle, the energy consumption level prediction parameter set is used for training an energy consumption levelprediction model of the electric vehicle, and the obtained trained energy consumption level prediction model of the electric vehicle can predict the energy consumption level of the electric vehicle more accurately.

Description

technical field [0001] The invention relates to the technical field of electric vehicle energy consumption prediction, in particular to a method and system for electric vehicle energy consumption prediction based on big data fusion. Background technique [0002] In recent years, worldwide energy and environmental problems have gradually intensified. In the field of transportation, electric vehicles have become an important tool for energy saving and emission reduction because of their energy economy and environmental friendliness. However, due to the limitation of the development level of power battery technology, electric vehicles still have the defects of insufficient driving range and long charging time. In addition, it is difficult to accurately estimate the remaining driving range of electric vehicles, which may easily lead to "range anxiety" among drivers and passengers. ", and the accurate prediction of electric vehicle energy consumption is an important basis for acc...

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Application Information

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IPC IPC(8): G06Q10/04G06F16/215G06K9/62
CPCG06Q10/04G06F18/25Y02D10/00
Inventor 王崇文刘鹏王震坡张照生
Owner BEIJING INST OF TECH XINYUAN INFORMATION TECH CO LTD
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