Transient automobile fuel consumption estimation method and system based on fuel consumption strongly related parameter correction

Abstract

The invention provides a transient automobile fuel consumption estimation method and system based on fuel consumption strongly-related parameter correction, and belongs to the technical field of automobile energy consumption estimation.The method comprises the steps that a vehicle fuel consumption steady-state model is established based on vehicle parameter data in a vehicle steady-state driving state, and a transient automobile fuel consumption estimation model is established based on vehicle parameter data in a vehicle unsteady-state driving state; a data analysis method is adopted for feature classification, vehicle parameters strongly related to fuel consumption estimation errors of a steady-state model under different feature categories are obtained through screening, a vehicle sectional type fuel consumption transient correction model is established, error correction is conducted on a vehicle fuel consumption steady-state model, and finally a vehicle sectional type transient fuel consumption model is obtained. Accurate estimation of transient fuel consumption of the vehicle in different driving states can be achieved, vehicle information can be comprehensively reflected, and the accuracy of the model is improved.

Description

technical field [0001] The invention relates to the technical field of vehicle energy consumption estimation, in particular to a transient vehicle fuel consumption estimation method and system based on the correction of parameters strongly correlated with fuel consumption. Background technique [0002] The concepts of energy saving and emission reduction and intelligent control have attracted more and more attention in the era of rapid development of automobile technology. Among them, a transient fuel consumption model with excellent performance can accurately estimate the fuel consumption of the vehicle, which is convenient for people to further evaluate and control the energy consumption and emission of the vehicle. , The intelligent control of emissions plays a very important role. [0003] There are mainly two types of existing vehicle fuel consumption estimation models. One is a steady-state fuel consumption model based on the universal characteristic curve of the vehi...

AI Technical Summary

Problems solved by technology

The structural model based on vehicle dynamics is established based on the dynamic and mathematical relationship between vehicle transient fuel consumption and state parameters. It is universal, but has a complex structure and relatively low accuracy, involving many vehicle parameters. It is difficult to use

The data-driven fuel consumption model based on machine learning has high accuracy, but it requires a large amount of data to build the model, and data calibration is time-consuming and laborious. In addition, due to its "black box principle" model structure, the model cannot reflect any state parameters on fuel consumption. Impact

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