Scalable Vehicle Models for Indoor Tire Testing
US-2015057951-A1 · Feb 26, 2015 · US
US10960716B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10960716-B2 |
| Application number | US-201615744133-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 13, 2016 |
| Priority date | Jul 14, 2015 |
| Publication date | Mar 30, 2021 |
| Grant date | Mar 30, 2021 |
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A method includes obtaining simulated tire data for a simulated tire, simulated vehicle data for a simulated vehicle, and simulated test course data. The simulated tire data includes data to build a basic tire model. The simulated vehicle data includes data to build a basic vehicle model. The simulated test course data includes position-based course data in a horizontal plane and position-based course data in a vertical direction. The method further includes generating a tire load history from the basic tire model, the basic vehicle model, and the simulated test course data.
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What is claimed is: 1. A method for testing a tire comprising: identifying a vehicle test course, the vehicle test course including a surface and a predetermined vehicle travel path; driving a vehicle along the predetermined vehicle travel path; measuring vehicle accelerations and speed during the driving of the vehicle; providing the measured vehicle accelerations and speed to a computer; generating a virtual test course from the measured vehicle accelerations and speed; collecting tire performance information from a tire or database, wherein the tire performance information includes at least a force and moment characteristic; providing the collected tire performance information to the computer; generating a virtual tire from the collected tire performance information, wherein the virtual tire comprises a first simulated tire; providing vehicle attribute information to the computer, wherein the vehicle attribute information comprises a simulated vehicle; generating a tire load history based on maneuvering the simulated vehicle through the virtual test course; conducting a tire wear test, the tire wear test comprising: placing a test tire on a tire wear test machine, starting the tire wear test machine, rotating a tire relative to a wear surface and manipulating the test tire to track the tire load history, stopping the rotation of the wear surface or removing the test tire from the wear surface after a predetermined time interval, and measuring wear on the test tire. 2. The method of claim 1 , wherein collecting vehicle test course information further comprises obtaining data pertaining to at least one of road undulation and aerodynamic drag. 3. The method of claim 2 , wherein the vehicle test course information is modified to account for a wind profile consisting of wind direction and velocity. 4. The method of claim 1 , further comprising processing the measured vehicle accelerations and speed to derive position-based course data in a horizontal plane. 5. The method of claim 1 , further comprising processing the measured vehicle accelerations and speed to derive position-based course data in a vertical direction. 6. The method of claim 5 , wherein the position-based course data in the horizontal plane includes data relating to banking. 7. The method of claim 5 , wherein the position-based course data in the horizontal plane includes data relating to road crowning. 8. One or more hardware memory devices having embodied thereon computer-useable instructions that, when executed, implement a method for effectuating tire testing, the method comprising: obtaining simulated tire data for a simulated tire, wherein the simulated tire data includes data to build a basic tire model; obtaining simulated vehicle data for a simulated vehicle, wherein the simulated vehicle data includes data to build a basic vehicle model; obtaining simulated test course data, wherein the simulated test course data includes position-based course data in a horizontal plane based on measured accelerations and speeds of a vehicle driven on a test course and derived through vector integration, and position-based course data in a vertical direction based on measured accelerations and speeds of a vehicle driven on a test course and derived through scalar integration; and generating a tire load history from the basic tire model, the basic vehicle model, and the simulated test course data. 9. The one or more hardware memory devices of claim 8 , wherein the implemented method further comprises utilizing the tire load history in conjunction with a machine to test tire performance. 10. The one or more hardware memory devices of claim 8 , wherein the simulated vehicle is selected from the group consisting of automobiles and trucks. 11. A method of generating a virtual test course comprising: obtaining acceleration data and speed data measured from a vehicle driven through a test course; processing the acceleration data and the speed data measured from the vehicle to derive position-based course data in a horizontal plane through vector integration; processing the acceleration data, the speed data, and a distance travelled in a given step to derive position-based course data in a vertical direction through scalar integration; and producing a virtual test course based on the position-based course data in the horizontal plane and the position-based course data in the vertical direction. 12. The method of generating a virtual test course of claim 11 , wherein the obtaining acceleration data and speed data describing a vehicle driven through a test course includes selecting a physical test course, providing a physical vehicle, and providing an accelerometer. 13. The method of generating a virtual test course of claim 12 , wherein the obtaining acceleration data and speed data describing a vehicle driven through a test course further includes driving the physical vehicle along the physical test course, and taking measurements with the accelerometer. 14. The method of generating a virtual test course of claim 11 , wherein the obtaining speed data includes obtaining speed data through a GPS.
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