Prediction method for rolling resistance of tire in low-temperature environment, application and computer program product

Abstract

The invention relates to a method for testing the rolling resistance of a tire, in particular to a method for predicting the rolling resistance of the tire in a low-temperature environment, application and a computer program product. The invention provides a technical scheme for testing the glass transition temperature of the tread rubber by using a dynamic thermal mechanical analyzer (DMA) and predicting the rolling resistance in different temperature environments through a correction formula, and overcomes the limitation of a traditional method. According to the method, the rolling resistance data can be fitted and corrected in combination with a numerical simulation technology, and the accuracy of rolling resistance prediction is improved through a multi-frequency test.

Description

Technical Field

[0001] The invention relates to a method for testing the rolling resistance of a tire, and in particular to a method for predicting the rolling resistance of a tire in a low temperature environment, an application and a computer program product. Background Art

[0002] With the development of the automobile industry, the performance of tires has an increasingly important impact on the energy consumption and driving range of vehicles. The rolling resistance of tires is one of the important factors affecting the fuel efficiency of automobiles and the battery life of electric vehicles. Rolling resistance refers to the resistance caused by deformation, friction between the tread and the road surface, and energy loss inside the tire during the driving process of the vehicle, which directly affects the fuel consumption and driving range of the vehicle. In order to improve the energy saving effect of automobiles, reducing tire rolling resistance has become a hot topic in tire manufacturing and the automotive industry.

[0003] At present, the testing standards for tire rolling resistance (such as ISO, ECE, SAE, GB and other standards) are usually carried out at room temperature (such as 24°C or 25°C). However, the temperature in the actual driving environment of the vehicle often fluctuates greatly, which may be as low as -30°C or as high as 35°C. These temperature conditions will significantly affect the rolling resistance of the tire. As the main component of the tire, the viscoelastic properties of rubber materials change significantly with temperature. Therefore, how to effectively predict the rolling resistance of tires under different temperature environments has become a technical problem that needs to be solved urgently.

[0004] Traditional rolling resistance test methods have some limitations. For example, it is difficult to achieve accurate rolling resistance measurement in extremely high or low temperature environments, and it cannot fully reflect the changes in rolling resistance of tires in actual operation. In addition, a single normal temperature test cannot accurately predict the performance of tires under complex climatic conditions, thus affecting the prediction of vehicle energy consumption. Therefore, developing a tire rolling resistance prediction method that can combine different temperature environments is of great significance for improving tire design and improving vehicle energy-saving performance. Summary of the invention

[0005] In order to solve the above technical problems, the purpose of the present invention is to provide a method for predicting the rolling resistance of a tire in a low temperature environment. The method can be used in a laboratory to test the glass transition temperature using a dynamic mechanical analyzer (DMA) and predict the rolling resistance under different ambient temperatures by mathematical calculation.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical solutions:

[0007] A method for predicting the rolling resistance of a tire in a low-temperature environment, characterized in that the method uses a dynamic thermomechanical analyzer to test the glass transition temperature of the tread rubber to calculate the rolling resistance of the tire in a low-temperature environment:

[0008] FR=FRref / [1+Kt(Tamb-Tref)]×(Tamb / Tg)α

[0009] Wherein, FRref: rolling resistance at reference temperature; FR: rolling resistance at actual ambient temperature; Tamb: actual test temperature; Tref: reference temperature; Tg: tread rubber glass transition temperature; Kt: conversion parameter, ranging from 0.05 to 0.13; α: correction index, ranging from 0.8 to 1.4.

[0010] Preferably, Kt is between 0.07 and 0.11, and α is between 1.0 and 1.2.

[0011] Preferably, the dynamic thermomechanical analyzer performs temperature scanning in the temperature range of -120 to 120°C, at a frequency of 1 to 20 Hz and at a strain of 0.1 to 10%.

[0012] Preferably, the dynamic thermomechanical analyzer performs temperature scanning in the temperature range of -100 to 100°C, at a frequency of 1-15 Hz and at a strain of 0.1 to 8%.

[0013] Preferably, the dynamic thermomechanical analyzer performs temperature scanning in the temperature range of -70 to 80°C, at a frequency of 5-12 Hz and at a strain of 0.1 to 5%.

[0014] Preferably, the rolling resistance is tested using standard ISO test.

[0015] Furthermore, the present application also discloses the application of the prediction method in a method for predicting the fuel consumption or cruising range of a tire, which estimates the energy consumption performance of the entire vehicle based on the rolling resistance under different temperature conditions.

[0016] The present application also discloses a computer device, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the method.

[0017] The present application also discloses a computer-readable storage medium on which a computer program or instruction is stored. When the computer program or instruction is executed by a processor, the method is implemented.

[0018] The present application also discloses a computer program product, including a computer program or an instruction, which implements the method when executed by a processor.

[0019] The present invention adopts the above-mentioned technical solution, proposes a technical solution of using a dynamic thermomechanical analyzer (DMA) to test the glass transition temperature of the tread rubber, and predicting the rolling resistance under different temperature environments through a correction formula, thereby overcoming the limitations of the traditional method. The method can be combined with numerical simulation technology to perform fitting correction on the rolling resistance data, and improve the accuracy of rolling resistance prediction through multi-frequency testing. The rolling resistance prediction method of the present invention can be applied to the energy consumption optimization of different types of vehicles, such as electric vehicles and fuel vehicles, so as to further improve tire design and vehicle performance.

[0020] Through the technical solution of the present invention, the rolling resistance of tires under different temperature environments can be predicted more accurately, solving the problem that the prior art cannot fully reflect the changes in tire rolling resistance under high and low temperature conditions, and providing strong technical support for tire manufacturing and vehicle design. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is the correlation curve diagram for the -30℃ test.

[0022] Figure 2 This is the correlation curve diagram for the -7℃ test.

[0023] Figure 3 This is the correlation curve diagram for the 10℃ test.

[0024] Figure 4 This is the correlation curve diagram for the 35°C test. DETAILED DESCRIPTION

[0025] The following is a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] 1. Material preparation

[0027] Tread rubber compositions with different glass transition temperatures (Tg) are selected for manufacturing tires. The Tg range of the tread rubber is selected to be -10°C to -40°C to accommodate the change in rolling resistance under different temperature conditions.

[0028] 2. Viscoelastic performance test

[0029] The glass transition temperature (Tg) and viscoelasticity of the tread rubber were tested using a dynamic mechanical analyzer (DMA). Test equipment: VR-7120 dynamic mechanical analyzer manufactured by UESHIMA, Japan; specific test conditions are as follows:

[0030] Temperature range: -120℃ to 120℃;

[0031] Test conditions: frequency 12 Hz, dynamic strain 0.25%, test temperature -70 to 80°C, and the Tg of the tread rubber is obtained by temperature scanning.

[0032] 3. Rolling resistance test

[0033] At the reference temperature (T ref =25°C), the rolling resistance (FRref) of the tire was tested using the ISO28580 standard and this was used as the reference rolling resistance.

[0034] Tg measured by dynamic thermomechanical analyzer and actual test temperature T amb (such as -30℃, -7℃, 10℃, 35℃, etc.), use the following formula to calculate the rolling resistance under different temperature environments:

[0035] F R =F Rref / [1+K t (T amb -T ref )]×(T amb / Tg) α

[0036] Among them, Kt is a conversion parameter, and its value range is 0.05 to 0.13, and its preferred range is 0.07 to 0.11; α is a correction index, and its value range is 0.8 to 1.4, and its preferred range is 1.0 to 1.2.

[0037] 4. Correction and optimization of rolling resistance

[0038] The rolling resistance data is fitted and corrected through numerical simulation technology. The rolling resistance data is fitted and analyzed according to different test conditions (such as temperature, vehicle speed, etc.) to further optimize the accuracy of rolling resistance prediction. Combined with the viscoelastic model of tread rubber, rolling resistance corrections are performed at different temperatures to reduce calculation errors.

[0039] 5. Data Verification

[0040] Tires of multiple specifications (such as 245 / 45ZR19) were selected, and tread rubber materials with different Tg were used respectively. Actual rolling resistance tests were carried out under different temperature conditions (such as -30°C, -7°C, 10°C, 25°C, and 35°C). The actual test rolling resistance was measured using the ISO28580 standard test method.

[0041] The actual test results were compared with the rolling resistance results calculated by the formula, and it was found that the two had a good correlation under different temperature conditions, and the error was controlled within the range of ±5%, indicating that this method has a high prediction accuracy. The results are shown in Table 1.

[0042] Table 1 Comparison of experimental data between test and simulation

[0043]

[0044] *F R依据式 F R =F Rref / [1+K t (T amb -T ref )]*(T amb / Tg) α Calculated, *The actual rolling resistance is measured using the ISO28580 standard test method.

[0045] The above is a description of the embodiments of the present invention. Through the above description of the disclosed embodiments, professionals and technicians in the field can implement or use the present invention. Various modifications to these embodiments will be apparent to professionals and technicians in the field. The general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown in this article, but will conform to the widest range consistent with the principles and novelties disclosed herein.

Claims

1. A method for predicting tire rolling resistance in a low temperature environment, characterized in that: This method uses a dynamic thermomechanical analyzer to test the glass transition temperature of the tread rubber and calculate the rolling resistance of the tire under low temperature conditions: F R =F Rref / [1+K t (T amb -T ref )]×(T amb / Tg) α Among them, F Rref : rolling resistance at reference temperature; F R : rolling resistance at actual ambient temperature; T amb : Actual test temperature; T ref : reference temperature; Tg: tread rubber glass transition temperature; K t : Conversion parameter, ranging from 0.05 to 0.13; α: Correction index, ranging from 0.8 to 1.

4.

2. The prediction method according to claim 1, characterized in that: Kt takes 0.07~0.11, α takes 1.0~1.

2.

3. The prediction method according to claim 1, characterized in that: The dynamic thermal mechanical analyzer performs temperature scanning in the temperature range of -120 to 120°C, the frequency of 1 to 20 Hz, and the strain of 0.1 to 10%.

4. The prediction method according to claim 1, characterized in that: The dynamic thermal mechanical analyzer performs temperature scanning in the temperature range of -100 to 100°C, the frequency of 1 to 15 Hz, and the strain of 0.1 to 8%.

5. The prediction method according to claim 1, characterized in that: The dynamic thermomechanical analyzer was used to perform temperature scans in the temperature range of -70 to 80 °C, at a frequency of 5 to 12 Hz and at a strain of 0.1 to 5%.

6. The prediction method according to any one of claims 1 to 5, characterized in that: The rolling resistance is measured using standard ISO testing.

7. Application of the prediction method according to any one of claims 1 to 6 in a method for predicting tire fuel consumption or cruising range, wherein the application estimates the energy consumption performance of the entire vehicle based on rolling resistance under different temperature conditions.

8. A computer device comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program or instruction stored thereon, characterized in that: When the computer program or instruction is executed by a processor, the method described in any one of claims 1 to 6 is implemented.

10. A computer program product comprising a computer program or instructions, characterized in that When the computer program or instruction is executed by a processor, the method described in any one of claims 1 to 6 is implemented.

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