Brake pad life prognosis system for regenerative braking vehicles
US-2019071062-A1 · Mar 7, 2019 · US
US10495169B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10495169-B2 |
| Application number | US-201715651475-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 17, 2017 |
| Priority date | Jul 17, 2017 |
| Publication date | Dec 3, 2019 |
| Grant date | Dec 3, 2019 |
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Technical solutions are described to for determining thickness of a vehicle brake rotor. An example method includes providing vehicle parameters that identify operating conditions of a vehicle, and using the vehicle parameters to determine work done by a brake of the vehicle as brake-work. Further, the method includes using the brake work to determine brake rotor temperature, and using the brake rotor temperature to determine brake rotor wear. The method further includes accumulating the brake rotor wear to provide an estimation of the thickness of the vehicle brake rotor.
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What is claimed is: 1. A method for determining a thickness of a vehicle brake rotor, the method executable by a processor coupled to a memory, the method comprising: receiving, by the processor, vehicle parameters that identify operating conditions of a vehicle; determining, by the processor, work done by a brake of the vehicle as brake work based on the vehicle parameters; determining, by the processor, brake rotor temperature based on the brake work; determining, by the processor, brake rotor wear based on the brake rotor temperature; and accumulating, by the processor, the brake rotor wear to determine and notify an estimation of the thickness of the vehicle brake rotor. 2. The method of claim 1 , wherein the brake rotor wear is an energy-based brake rotor wear, and the method further comprising: computing an oxidative brake rotor wear based on a time of exposure of the vehicle brake rotor; and computing the brake rotor wear by summing the oxidative brake rotor wear and the energy-based brake rotor wear. 3. The method of claim 2 , wherein the oxidative brake rotor wear is computed by scaling the time of exposure of the vehicle brake rotor by a predetermined oxidative wear parameter. 4. The method of claim 3 , wherein the predetermined oxidative wear parameter is specific to a material of the vehicle brake rotor. 5. The method of claim 1 , wherein providing vehicle parameters includes providing brake rotor friction material, brake rotor cooling rate, vehicle mass, road grade, dynamic brake proportioning, vehicle weight distribution, vehicle speed, wheel speed and brake pressure. 6. The method of claim 1 , wherein determining the brake work includes subtracting resistance values from total work done by the brake of the vehicle where the resistance values are forces that reduce the total work. 7. The method of claim 1 , wherein determining the brake work includes determining braking force as brake pressure times brake rotor area times brake rotor coefficient of friction. 8. The method of claim 1 , wherein determining the brake work includes determining braking power as torque produced by the vehicle times velocity of the vehicle divided by rolling radius of a vehicle wheel. 9. The method of claim 1 , further comprising notifying of the estimation of the brake rotor thickness utilizing telematics of the vehicle. 10. A vehicle brake system for determining brake rotor thickness of a brake rotor, the vehicle brake system comprising: the brake rotor; and a processor configured to: receive vehicle parameters that identify operating conditions of a vehicle; determine work done by the brake system of the vehicle as brake work based on the vehicle parameters; determine brake rotor temperature based on the brake work; determine brake rotor wear based on the brake rotor temperature; and accumulate the brake rotor wear to determine and notify an estimation of the brake rotor thickness. 11. The system of claim 10 , wherein the brake rotor wear is an energy-based brake rotor wear, and the processor is further configured to: compute an oxidative brake rotor wear based on a time of exposure of the brake rotor; and compute the brake rotor wear by summing the oxidative brake rotor wear and the energy-based brake rotor wear. 12. The system of claim 11 , wherein the oxidative brake rotor wear is computed by scaling the time of exposure of the brake rotor by a predetermined oxidative wear parameter. 13. The system of claim 12 , wherein the predetermined oxidative wear parameter is specific to a material of the brake rotor. 14. The system of claim 10 , wherein the vehicle parameters comprise brake rotor friction material, brake rotor cooling rate, vehicle mass, road grade, dynamic brake proportioning, vehicle weight distribution, vehicle speed, wheel speed and brake pressure. 15. The system of claim 10 , the processor further configured to notify the estimation of the brake rotor thickness utilizing telematics of the vehicle. 16. A computer program product comprising a non-transitory computer readable medium having program instructions for determining a thickness of a vehicle brake rotor embodied therewith, the program instructions executable by a processor to cause the processor to perform operations comprising: determining work done by a brake of a vehicle based on vehicle parameters that identify operating conditions of a vehicle; determining brake rotor temperature based on the work done by the brake; determining brake rotor wear based on the brake rotor temperature; and accumulating the brake rotor wear to determine and notify an estimation of the thickness of the vehicle brake rotor. 17. The computer program product of claim 16 , wherein the brake rotor wear is an energy-based brake rotor wear, and determining an estimation of the thickness of the vehicle rotor brake further comprises: determining an oxidative brake rotor wear based on a time of exposure of the vehicle brake rotor; and computing the brake rotor wear by summing the oxidative brake rotor wear and the energy-based brake rotor wear. 18. The computer program product of claim 17 , wherein the oxidative brake rotor wear is computed by scaling the time of exposure of the vehicle brake rotor by a predetermined oxidative wear parameter, the predetermined oxidative wear parameter being specific to a material of the vehicle brake rotor. 19. The computer program product of claim 16 , wherein the vehicle parameters comprise brake rotor friction material, brake rotor cooling rate, vehicle mass, road grade, dynamic brake proportioning, vehicle weight distribution, vehicle speed, wheel speed and brake pressure. 20. The computer program product of claim 16 , the program instructions executable by a processor to cause the processor to perform operations comprising notifying an estimation of the thickness of the vehicle brake rotor via telematics of the vehicle.
Vehicle reference speed; Vehicle body speed · CPC title
Position, angle or speed · CPC title
without direct measurement of the quantity monitored, e.g. wear or temperature calculated form force and duration of braking · CPC title
Temperature · CPC title
Vehicle mass · CPC title
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