A method for calibrating motor vehicle exhaust remote measurement equipment

Abstract

The invention relates to a method of correcting motor vehicle exhaust telemetering equipment, comprising: giving a status space model for exhaust telemetering process, and estimating with self-adjustable resistance difference Kalman filtering. By using a noise statistics estimator and a gross error judger, it is possible to the filter algorithm to handle noise statistical characteristic time variation and measurement gross errors, exhaust telemetering equipment is corrected, and precise results of exhaust telemetering are given.

Description

technical field [0001] The invention relates to issues related to motor vehicle exhaust emissions in the field of environmental monitoring, and in particular to a calibration method for motor vehicle tail gas telemetry equipment. Background technique [0002] With the pace of urbanization in China, the number of motor vehicles in China is increasing year by year. According to statistics from the Traffic Management Bureau of the Ministry of Public Security, as of the end of June 2016, the number of motor vehicles in the country reached 285 million, including 184 million cars. The substances contained in automobile exhaust are mainly carbon monoxide, nitrogen oxides, hydrocarbons and fine particles. These pollutants have potential long-term harm to human health and cause direct pollution and damage to the ecological environment. Among them, the accumulation of nitrogen oxides to a certain extent can lead to acid rain, strong damage to urban buildings, and ozone in the atmosph...

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Problems solved by technology

From a methodological point of view, there are indeed some improved Kalman filter algorithms, but none of them are applicable to the background of this project

Invention patent "Robust Filtering Method Based on Robust Estimation" (application number: 201010136448.8) proposes an improved Kalman filter for the integrated navigation system of moving carriers; Angle Estimation Method" (Application No.: 201510941293.8) discloses a method for estimating the attitude angle of a rescue wrecker vehicle, which estimates the attitude angle of the rescue wrecker vehicle under the condition of a large slope rate when the statistical characteristics of the interference signal cannot be known exactly. Pitch angle and roll angle; invention patent "Robust Filtering Method for Aerospace Vehicle Integrated Navigation Based on Launch Inertial Coordinate System" (application number: 201410419869.X); scientific paper "Research on Integrated Navigation Method Based on Adaptive H∞ Filtering" ( Liu Xiaoguang, Hu Jingtao, Wang He. Chinese Journal of Instrumentation, 2014, 35(5): 1013-1021) Aiming at the problem that the conventional robust filtering parameters are relatively conservative due to the initial setting, a new method based on automatic Multi-sensor Integrated Navigation Method Adapted to Robust Filtering

The comparison documents mentioned above give some improved Kalman filtering, and the nouns involved in it, such as "robust", "resistance", and "robust", are essentially Chinese translations of the English word "robust", and these The improved Kalman filter of the noun is not a real optimal filter. Its basic principle is to stabilize the error of the filter by forcibly increasing or decreasing the Kalman gain value. Specifically, in order to make the Kalman filter If the error does not diverge globally, the global accuracy must be sacrificed. Even if there is no interference from the gross error, the accuracy of the estimated value at this moment will be greatly weakened

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