Altitude correction factor obtaining method and device

Abstract

The invention discloses an altitude correction factor obtaining method and device, and belongs to the field of vehicles. The method includes the steps of obtaining the initial value of a filter when preset events happen to a vehicle engine, wherein the preset events include power-down events, power-up events and abnormal power failure events; judging whether a vehicle meets preset self-learning enabling conditions according to the rotation speed of the engine, the running speed of the vehicle and state information of specific equipment; enabling an altitude correction factor self-learning filter if the vehicle meets the preset self-learning enabling conditions; determining a filter input value at least according to the work state of a manifold pressure sensor and the work state of a stepping motor; carrying out self-learning of the altitude correction factor by means of the altitude correction factor self-learning filter according to the initial value of the filter and the filter input value, and obtaining a current altitude correction factor. The method and device improve accuracy of the altitude correction factor and improve idling stability.

Description

technical field [0001] The invention relates to the field of automobiles, in particular to a method and device for obtaining an altitude correction coefficient. Background technique [0002] In the field of automotive electronic control, the intake air volume of the automotive engine is an important parameter that affects the idle speed problem. Due to the vastness of our country, many places are located in plateau areas, such as the Northwest Plateau, Yunnan-Guizhou Plateau, Sichuan-Tibet Plateau, etc., and the air density decreases with the increase of altitude. The requirements must be corrected based on the altitude correction factor, so the accuracy of the altitude correction factor is very important. [0003] At present, the ECU altitude correction coefficient can be obtained by modeling the self-learning algorithm. However, according to the lack of consideration of the actual scene of the driving process according to the existing algorithm, the obtained altitude corr...

AI Technical Summary

Problems solved by technology

[0003] At present, the ECU altitude correction coefficient can be obtained by modeling the self-learning algorithm. However, according to the lack of consideration of the actual scene of the driving process according to the existing algorithm, the obtained altitude correction parameters are inaccurate, which in turn makes the calculation of the engine's working intake air volume inaccurate.

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