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

A technology of functional principle and identification method, applied in vehicle parts, transportation and packaging, circuits or fluid pipelines, etc., can solve problems such as complex calculation, and achieve the effect of high identification accuracy, easy real-time, and strong applicability

Inactive Publication Date: 2013-08-28
JILIN UNIV
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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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Embodiment Construction

[0036] refer to figure 1 shown. The present invention comprises the following steps:

[0037] Step 1: Obtain relevant parameters through CAN bus measurement, and input relevant parameters and vehicle inherent parameters 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 a 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 parameters required by the model and the quality identification conditions into the RLS quality identification system to estimate the mass of the heavy-duty vehicle.

[0042] The concrete steps of described step one are:

[0043] (1) Get the wheel speed v, engine speed n, engine a...

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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 a heavy vehicle, in particular to a method for real-time identification of the quality of a heavy vehicle based on CAN information and functional principles. Background technique [0002] For the dynamic measurement method of heavy-duty vehicle quality, the most common method 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 mass online in real time. [0003] Parameter estimation is an indirect measure to obtain the mass of a heavy vehicle. The required parameter information is measured by the sensors installed on the heavy-duty vehicle, and some algorithm is used to obtain the estimation result of the vehicle quality. This method can obtain the result of quality estimation online in real time, and the accuracy of the estimation result can be improved by improving the algori...

Claims

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Application Information

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Patent Type & Authority Applications(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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