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

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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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 required parameters in the electric vehicle energy consumption prediction process are not easy to obtain and the accuracy of the existing energy consumption prediction method is low

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