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Tire rolling resistance coefficient online identification method

A rolling resistance coefficient, tire technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as large least squares algorithm errors, and achieve the effect of improving performance

Inactive Publication Date: 2017-10-03
JILIN UNIV
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AI Technical Summary

Problems solved by technology

[0004] The traditional vehicle fixed parameter identification often uses the least squares algorithm, but the least squares algorithm will produce a large error when the real sampling data has a large error or is not Gaussian white noise

Method used

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  • Tire rolling resistance coefficient online identification method

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Experimental program
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Embodiment 1

[0030] refer to figure 1 , an online identification method of rolling resistance coefficient, is a rolling resistance coefficient identification model established based on driving information and vehicle longitudinal acceleration information, including the following steps:

[0031] Step S1: Model initialization. Load the fixed parameters required by the model, including vehicle parameters and algorithm parameters.

[0032] Vehicle parameters include: vehicle transmission efficiency η, tire rolling radius r, vehicle driving acceleration a v , flywheel moment of inertia I f , Wheel moment of inertia I w , air resistance coefficient C D , Vehicle frontal area A, air density ρ, gravity acceleration g. Algorithm parameters include: number of clusters m, m initial cluster centers

[0033] Step S2: Collect vehicle driving state information.

[0034] The CAN bus information that needs to be collected synchronously at each sampling moment includes: vehicle speed v, engine spee...

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Abstract

The invention relates to a tire rolling resistance coefficient online identification method. Firstly, an identification model is established through travel equations, and then online identification of the tire rolling resistance coefficient is achieved in combination with an online cluster identification algorithm. The original travel equation and the differential travel equation are integrated for establishment of the identification model, the influence on the whole vehicle mass is eliminated, and the defect that formerly, the rolling resistance coefficient is calculated by depending on the whole vehicle mass is overcome. The tire rolling resistance coefficient is measured through a sliding test in the traditional technology, and the traditional technology is limited by a single test environment and cannot adapt to the complex working condition of vehicle driving. The established online identification algorithm can online acquire important parameters of a whole vehicle and adapt to different vehicle running states and road environments.

Description

technical field [0001] The invention relates to an on-line identification method of tire rolling resistance coefficient in automobile automatic control technology, in particular to an on-line identification method of tire rolling resistance coefficient using longitudinal acceleration sensor information and vehicle running information without needing vehicle quality parameters. Background technique [0002] The tire rolling resistance coefficient is an important parameter for vehicle operation economy and power control, and the tire rolling resistance has a great influence on the longitudinal force of the vehicle. With the development of automatic control technology, many vehicle control parameters can be identified online. However, the rolling resistance coefficient is an abstract coefficient that simplifies and expresses the rolling resistance as a proportional relationship with the vehicle mass, and it is not easy to establish dynamics or express the physical model calcula...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/15G06F30/20G06F2119/06
Inventor 林楠宗长富施树明张曼牟宇徐超李文茹于晓军陈光辉
Owner JILIN UNIV
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