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Heavy vehicle weight real-time identification method based on CAN information and function principle

A technology of functional principles and identification methods, which is applied to vehicle parts, transportation and packaging, circuits or fluid pipelines, etc., can solve problems such as complex calculations, and achieve high identification accuracy, strong applicability, and easy real-time effects

Inactive Publication Date: 2015-04-15
JILIN UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Another method uses the adaptive Kalman filter to estimate the vehicle mass, but the information required by this method comes from the standard installed sensors on the test vehicle, and the statistical characteristics of the noise need to be determined in advance, and the calculation is complicated

Method used

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  • Heavy vehicle weight real-time identification method based on CAN information and function principle
  • Heavy vehicle weight real-time identification method based on CAN information and function principle
  • Heavy vehicle weight real-time identification method based on CAN information and function principle

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Experimental program
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Effect test

Embodiment Construction

[0036] See figure 1 Shown. The present invention includes the following steps:

[0037] Step 1: Measure the relevant parameters through the CAN bus, and input the relevant parameters and the inherent parameters of the vehicle into the calculation system to calculate the required parameters of the model;

[0038] Step 2: Establish a vehicle longitudinal dynamics model based on functional principles;

[0039] Step 3: Establish a recursive least squares quality identification model with forgetting factor based on the vehicle longitudinal dynamics model based on the functional principle;

[0040] Step 4: Formulate quality identification conditions based on vehicle information;

[0041] Step 5: Input the required parameters and quality identification conditions of the model into the RLS quality identification system to estimate the quality of heavy vehicles.

[0042] The specific steps of step one are:

[0043] (1) Obtain wheel speed v, engine speed n, engine actual torque percentage T throu...

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Abstract

The invention discloses a heavy vehicle weight real-time identification method based on CAN information and a function principle. According to the method, when a vehicle runs, vehicle wheel speed, engine rotating speed, engine practical torque percentage, a gear position, accelerating pedal opening degree, a clutch pedal signal and a braking pedal signal are acquired through a vehicle CAN bus; engine torque, accelerated speed and a rotating weight conversion coefficient are obtained by computing; a vehicle longitudinal kinetic equation based on the function principle is established, on the basis of the kinetic equation, the work done by equivalent outer force generated by driving force and air resistance is regarded as system input quantity, the work done by the equivalent accelerated speed generated by the sum of rolling resistance, slope resistance and acceleration resistance is regarded as an observable data vector, and heavy vehicle weight is estimated in real time through a recursive least-squares method with which a forgetting factor is selected according to the feature of the vehicle weight.

Description

Technical field [0001] The invention relates to a method for real-time identification of the quality of heavy vehicles, in particular to a method for real-time identification of the quality of heavy vehicles based on CAN information and functional principles. Background technique [0002] For the dynamic measurement method of heavy vehicle quality, the most common is the dynamic truck scale, but the weighing platform cannot be installed on the vehicle body, and it is not convenient to obtain the actual vehicle quality online in real time. [0003] Parameter estimation is an indirect measurement method to obtain the quality of heavy vehicles. The required parameter information is measured by the sensors installed on the heavy-duty vehicle, and a certain algorithm is used to obtain the estimation result of the vehicle quality. This method can obtain the quality estimation result online in real time, and the accuracy of the estimation result can be improved by improving the algorithm...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60R16/02
Inventor 施树明夏冰岳柄剑王玉琼
Owner JILIN UNIV
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