Tire wear state estimation apparatus
US-2022203783-A1 · Jun 30, 2022 · US
US12157474B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12157474-B2 |
| Application number | US-202217826510-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 27, 2022 |
| Priority date | May 31, 2021 |
| Publication date | Dec 3, 2024 |
| Grant date | Dec 3, 2024 |
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A determining method for determining a state of a road surface includes: sequentially acquiring a rotational speed of tires mounted on the vehicle, sequentially acquiring a driving force of the vehicle, calculating a slip ratio based on the sequentially acquired rotational speed of the tires, calculating a regression equation and a confidence interval width for a relationship between the slip ratio and the driving force, based on data sets of the slip ratio and the driving force in a predetermined zone, and determining a state of the road surface on which the vehicle travels, based on the confidence interval width calculated for the predetermined zone.
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What is claimed is: 1. A determining method for determining a state of a road surface on which a vehicle travels, comprising: sequentially acquiring a rotational speed of tires mounted on the vehicle; sequentially acquiring a driving force of the vehicle; calculating a slip ratio based on the sequentially acquired rotational speed of the tires; calculating a regression equation and a confidence interval width for a relationship between the slip ratio and the driving force, based on a large number of data sets of the slip ratio and the driving force in a predetermined zone; and determining a state of the road surface on which the vehicle travels, based on the confidence interval width calculated for the predetermined zone. 2. The determining method according to claim 1 , wherein the calculating a confidence interval width includes calculating a confidence interval width for a plurality of vehicles in the predetermined zone, and the determining a state of the road surface includes determining that the road surface is slippery in a case in which an average value of the confidence interval width calculated for the predetermined zone is at least a predetermined threshold value. 3. The determining method according to claim 1 , wherein the calculating a confidence interval width includes calculating a confidence interval width for a plurality of vehicles in the predetermined zone, and the determining a state of the road surface includes determining that the road surface is slippery in a case in which a variance of the confidence interval width calculated for the predetermined zone is at least a predetermined threshold value. 4. The determining method according to claim 2 , wherein the calculating a confidence interval width includes calculating a confidence interval width for a plurality of vehicles in the predetermined zone, and the determining a state of the road surface includes determining that the road surface is slippery in a case in which a variance of the confidence interval width calculated for the predetermined zone is at least a predetermined threshold value. 5. The determining method according to claim 1 , further comprising performing filtering for removing measurement errors of the slip ratio and the driving force, before the calculating a regression equation and a confidence interval width for a relationship between the slip ratio and the driving force. 6. The determining method according to claim 2 , further comprising performing filtering for removing measurement errors of the slip ratio and the driving force, before the calculating a regression equation and a confidence interval width for a relationship between the slip ratio and the driving force. 7. The determining method according to claim 3 , further comprising performing filtering for removing measurement errors of the slip ratio and the driving force, before the calculating a regression equation and a confidence interval width for a relationship between the slip ratio and the driving force. 8. A determining device for determining a state of a road surface on which a vehicle travels, comprising: a rotational speed acquiring portion configured to sequentially acquire a rotational speed of tires mounted on the vehicle; a driving force acquiring portion configured to sequentially acquire a driving force of the vehicle; a slip ratio calculating portion configured to calculate a slip ratio based on the sequentially acquired rotational speed of the tires; a confidence interval width calculating portion configured to calculate a regression equation and a confidence interval width representing a relationship between the slip ratio and the driving force, based on a large number of data sets of the slip ratio and the driving force in a predetermined zone; and a determining portion configured to determine a state of the road surface, based on the confidence interval width calculated for the predetermined zone. 9. A non-transitory computer-readable medium storing a determining program for determining a state of a road surface on which a vehicle travels, the determining program causing a computer to execute: sequentially acquiring a rotational speed of tires mounted on the vehicle; sequentially acquiring a driving force of the vehicle; calculating a slip ratio based on the sequentially acquired rotational speed of the tires; calculating a regression equation and a confidence interval width for a relationship between the slip ratio and the driving force, based on a large number of data sets of the slip ratio and the driving force in a predetermined zone; and determining a state of the road surface on which the vehicle travels, based on the confidence interval width calculated for the predetermined zone.
Wheel speed · CPC title
Wheel slip · CPC title
Filtering, filters · CPC title
Details of control systems for road vehicle drive control not related to the control of a particular sub-unit {, e.g. process diagnostic or vehicle driver interfaces} · CPC title
Means for informing the driver, warning the driver or prompting a driver intervention · CPC title
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