Mode recognition technique for different travel modes

Abstract

The invention discloses a mode recognition technique for different travel modes. The mode recognition technique takes green travel of an electric vehicle as background, three types of data, namely energy consumption, travelling carrier state and motion characteristics which are provided by an input terminal in motion and are monitored in real time, are preprocessed, then for a large amount of time, longitude, latitude, voltage, current, course and three-dimensional acceleration information, data segments of continuous data are cut into a track list according to the motion characteristic, extraction of power and travelling characteristics and vector calculation are carried out on the track list, results are input into a C4.5 classifier formed after the actual measurement to be calculated, and class of a track generating carrier is output. The mode recognition technique disclosed by the invention aims at screening out a green travel part in track unit and providing a data source for measurement and calculation of low carbon emission reduction green travel and the like.

Description

technical field [0001] The invention relates to a pattern recognition technology, in particular to a pattern recognition technology for different travel modes. Background technique [0002] The scheme of "HEV driving mode characteristics and vehicle characteristics" is based on the qualitative analysis of the simulation results of the on-board energy storage system of hybrid electric vehicles, and the fuel consumption and battery SOC of the power-maintaining hybrid mode and the power-consuming hybrid mode are obtained. Variation relationship; the existing technology is limited to the qualitative relationship analysis of energy consumption. For a large amount of data, the multi-dimensional correlation analysis between energy consumption and driving characteristics is insufficient, and the matching between the estimated battery SOC information and the energy output mode is not enough, which leads to a lack of control over the driving of the vehicle. There are difficulties in t...

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Problems solved by technology

[0002] The scheme of "HEV driving mode characteristics and vehicle characteristics" is based on the qualitative analysis of the simulation results of the on-board energy storage system of hybrid electric vehicles, and the fuel consumption and battery SOC of the power-maintaining hybrid mode and the power-consuming hybrid mode are obtained. Variation relationship; the existing technology is limited to the qualitative relationship analysis of energy consumption. For a large amount of data, the multi-dimensional correlation analysis between energy consumption and driving characteristics is insufficient, and the matching between the estimated battery SOC information and the energy output mode is not enough, which leads to a lack of control over the driving of the vehicle. There are difficulties in the identification of carriers and characteristics;

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