Automobile mass online estimation method based on model iteration

A technology of mass estimation and model, which is applied in the testing of measuring devices, vehicles, and testing of machine/structural components, etc. It can solve the problems of few applicable conditions, low estimation accuracy, and poor robustness.

Active Publication Date: 2020-04-10
JILIN UNIV
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Problems solved by technology

[0006] The present invention aims to solve the shortcomings of low estimation accuracy, poor robustness, and few applica...

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  • Automobile mass online estimation method based on model iteration
  • Automobile mass online estimation method based on model iteration
  • Automobile mass online estimation method based on model iteration

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Embodiment Construction

[0118] The present invention is described in detail below in conjunction with accompanying drawing:

[0119] refer to figure 1 , a kind of vehicle mass online estimation method based on model iteration described in the present invention first obtains the longitudinal acceleration, lateral acceleration, longitudinal velocity, yaw angular velocity, engine Output torque, steering wheel angle, and then iteratively calculate each other based on the longitudinal model and the lateral model to estimate the vehicle mass. Among them, the longitudinal model estimates the vehicle mass based on the longitudinal dynamics combined with the multiple forgetting least squares algorithm to estimate the vehicle quality, and the lateral model estimates the vehicle mass first based on the Kalman filter and the two-degree-of-freedom model to estimate the vehicle quality The lateral speed of the vehicle, and then based on the forgotten least squares algorithm and the lateral dynamic equation, the v...

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Abstract

The invention discloses an automobile mass online estimation method based on model iteration, and aims to overcome the defects of low estimation precision, poor robustness and few application conditions in the existing whole automobile mass estimation technology. Engine torque, longitudinal vehicle speed, longitudinal acceleration, lateral acceleration, yaw velocity and steering wheel rotation angle are obtained from a vehicle-mounted CAN bus and a sensor. In combination with recursive least squares and Kalman filtering algorithms, the longitudinal model quality estimation method or the lateral model quality estimation method is used for estimating the whole vehicle quality according to a model arbitration mode under different working conditions, and mutual iterative updating is carried out. According to the invention, many vehicle-mounted signals are referenced, the mutual correction effect is achieved from the longitudinal and lateral aspects, and the method has the advantages of strong robustness, wide application condition range and high precision. And relatively reliable whole vehicle mass signal input is provided for an electronic control system of the automobile chassis.

Description

technical field [0001] The invention relates to the technical field of automobile electronic control, in particular to a model-based real-time estimation method for automobile quality. Background technique [0002] With the complexity and integration of electronic control technology of automobile chassis, its control accuracy is more and more sensitive to the change of vehicle quality. The quality of the vehicle directly or indirectly affects the dynamic performance of the vehicle. Realizing the online accurate estimation of the vehicle quality can significantly improve the electronic control effect of the vehicle, which is of great significance to the electronic control system of the vehicle chassis. For example, in automotive electronic control technologies such as adaptive cruise control, automatic transmission control, electronic stability control, and anti-rollover control, there is a great demand for accurate estimation of quality. [0003] The general quality estimat...

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Application Information

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IPC IPC(8): G01M17/007
CPCG01M17/007
Inventor 曾小华钱琦峰宋大凤陈建新谷京哲苑卫松李晓建牛超凡
Owner JILIN UNIV
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