A Method of Online Vehicle Quality Estimation Based on Model Iteration

A mass estimation and model technology, which is applied in the measurement device, vehicle test, machine/structural component test, etc., and can solve the problems of poor robustness, few applicable conditions, and low estimation accuracy.

Active Publication Date: 2021-02-05
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 applicable conditions in the prior art, and proposes a quality online estimation method with strong practicability and high precision

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  • A Method of Online Vehicle Quality Estimation Based on Model Iteration
  • A Method of Online Vehicle Quality Estimation Based on Model Iteration
  • A Method of Online Vehicle Quality Estimation 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 online vehicle quality estimation method based on model iteration, aiming to solve the shortcomings of low estimation accuracy, poor robustness and few applicable conditions in the existing vehicle quality estimation technology. By obtaining engine torque, longitudinal vehicle speed, longitudinal acceleration, lateral acceleration, yaw rate, and steering wheel angle from the vehicle CAN bus and sensors, combined with recursive least squares and Kalman filter algorithms, using longitudinal model quality estimation methods or lateral The model quality estimation method estimates the vehicle quality according to the model arbitration method under different working conditions, and iteratively updates each other. The present invention refers to many vehicle-mounted signals, considers the longitudinal and lateral aspects, achieves the effect of mutual correction, and has the advantages of strong robustness, wide range of applicable conditions and high precision. It provides a relatively reliable vehicle quality signal input for the 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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Patent Type & Authority Patents(China)
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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