Tire and system for acquiring data associated with tire
US-2015034222-A1 · Feb 5, 2015 · US
US2021061021A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2021061021-A1 |
| Application number | US-202016998312-A |
| Country | US |
| Kind code | A1 |
| Filing date | Aug 20, 2020 |
| Priority date | Aug 30, 2019 |
| Publication date | Mar 4, 2021 |
| Grant date | — |
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A method for extracting changes in characteristics of a tire supporting a vehicle is provided. The method includes extracting selected tire characteristics from at least one sensor mounted on the tire. The selected tire characteristics are transmitted to a remote processor and are stored in a historical data log that is in communication with the remote processor. At least one tire characteristic of interest is selected, and a time series decomposition model is applied to data from the historical data log to delineate exogenous inputs from an underlying trend in the selected tire characteristic of interest. A learning model is applied to the underlying trend in the selected tire characteristic of interest to model a relationship between the selected tire characteristic of interest and a condition of the tire. A prediction value for a condition of the tire is output from the learning model.
Opening claim text (preview).
What is claimed is: 1 . A method for extracting changes in characteristics of a tire supporting a vehicle, the method comprising the steps of: extracting selected tire characteristics from at least one sensor mounted on the tire; transmitting the selected tire characteristics to a remote processor; storing the selected tire characteristics in a historical data log in communication with the remote processor; selecting at least one tire characteristic of interest; applying a time series decomposition model to data from the historical data log to delineate exogenous inputs from an underlying trend in the selected tire characteristic of interest; applying a learning model to the underlying trend in the selected tire characteristic of interest to model a relationship between the selected tire characteristic of interest and a condition of the tire; and outputting from the learning model a prediction value for a condition of the tire. 2 . The method for extracting changes in characteristics of a tire supporting a vehicle of claim 1 , wherein the step of extracting tire characteristics from at least one sensor mounted on the tire includes the steps of: mounting a processor on at least one of the vehicle and the tire; receiving tire characteristics from a sensor unit mounted on the tire in the processor that is mounted on at least one of the vehicle and the tire; and executing on the processor that is mounted on at least one of the vehicle and the tire a data analysis tool to retrieve the selected characteristics. 3 . The method for extracting changes in characteristics of a tire supporting a vehicle of claim 1 , further comprising the step of extracting selected tire characteristics from sensors mounted on the vehicle. 4 . The method for extracting changes in characteristics of a tire supporting a vehicle of claim 1 , further comprising the step of extracting selected tire characteristics from a vehicle CAN bus. 5 . The method for extracting changes in characteristics of a tire supporting a vehicle of claim 1 , further comprising the step of augmenting the historical data log with contextual information including at least one of weather, road roughness, and road topology data. 6 . The method for extracting changes in characteristics of a tire supporting a vehicle of claim 1 , wherein the deep learning model includes at least one of a machine learning model, a deep learning model, and a statistical model. 7 . The method for extracting changes in characteristics of a tire supporting a vehicle of claim 1 , wherein the condition of the tire includes at least one of a wear state of the tire and a load of the tire. 8 . The method for extracting changes in characteristics of a tire supporting a vehicle of claim 1 , further comprising the step of transmitting the prediction value to at least one of a service center and a fleet manager. 9 . The method for extracting changes in characteristics of a tire supporting a vehicle of claim 1 , further comprising the step of transmitting the prediction value to a display device that is accessible to a user of the vehicle. 10 . The method for extracting changes in characteristics of a tire supporting a vehicle of claim 1 , further comprising the step of transmitting the prediction value to at least one of an electronic control unit of the vehicle and a vehicle control system.
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