Electric vehicle energy consumption prediction method considering dynamic road network traffic flow

Abstract

The invention relates to an electric vehicle energy consumption prediction method considering dynamic road network traffic flow. The method comprises the following steps of 1, obtaining driving behavior information of a user and historical traffic data of each road section; 2, performing correlation analysis on the driving behavior information of the user and the energy consumption information ofthe user, and selecting driving behavior factors with relatively high correlation with the energy consumption information; 3, performing driving type clustering on the driving behavior factors of theuser, and automatically classifying driving conditions under different driving behavior factor combinations of the electric vehicle; 4, outputting different types of driving conditions and corresponding energy consumption; 5, predicting road network traffic parameters of the acquired historical traffic data of each road section; 6, outputting prediction results of different time periods of each road section; and 7, performing clustering analysis by predicting future road condition parameters of the road section and driving behavior parameters in the standard. According to the method, the real-time change of the traffic flow of the dynamic road network is considered, and the energy consumption calculation is more accurate.

Description

technical field [0001] The invention belongs to the technical field of electric vehicles and relates to a method for predicting energy consumption of electric vehicles considering dynamic road network traffic flow. Background technique [0002] With the popularization of electric vehicles, there are more and more researches on the energy consumption of electric vehicles. In reality, there are many factors that affect the power consumption of electric vehicles, and the external factors other than the vehicle's own parameters mainly include traffic conditions, environmental factors and driving characteristics of the driver. However, the characteristic parameters of driving conditions selected in the relevant research on predicting energy consumption based on driving conditions are all related to fixed traffic conditions, and there are three differences between them and actual road conditions: [0003] (1) The road network is dynamically changing, and the energy consumption of...

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Problems solved by technology

[0005] (3) Excluding actual driving conditions such as turning on and off the air conditioner

[0006] However, the existing technologies cannot accurately evaluate the impact of dynamic road conditions, electric vehicle air conditioners, and driver driving characteristics on power consumption.

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