How to evaluate tire performance

Abstract

To provide a method for evaluating tire performance, an evaluation device, and an evaluation program.SOLUTION: A method for evaluating tire performance, comprises the steps of: causing a machine learning model on which machine learning is performed such that a measurement value of an evaluation target tire serving as an evaluation target is input and a prediction value for predicting an evaluation result of a driver with respect to at least one of ride comfort and steering stability of a vehicle on which the evaluation target tire is mounted is output; and inputting a plurality of values corresponding to the measured value and outputting a plurality of predicted values for the plurality of input values; and extracting an input value corresponding to the predicted value that matches a condition from a plurality of output predicted values. An evaluation result is a result of evaluation based on at least one of the ride comfort and the steering stability of the vehicle on which a reference tire is mounted.SELECTED DRAWING: Figure 1

Claims

1. The process involves inputting multiple values ​​corresponding to the measured values ​​into a machine learning model that has been trained to take measured values ​​of a tire to be evaluated as input and output predictive values ​​that predict the driver's evaluation result for at least one of the ride comfort and handling stability of a vehicle equipped with the tire to be evaluated, and outputting multiple predictive values ​​for the multiple input values, The steps include: extracting the input value corresponding to the predicted value that matches the condition from the multiple predicted values ​​output; Includes, The aforementioned evaluation results are based on an evaluation of at least one of the ride comfort and handling stability of the vehicle equipped with the standard tires. Methods for evaluating tire performance.

2. The evaluation result is an evaluation result for the ride comfort of the vehicle equipped with the tire under evaluation, and the measured value includes at least one of the lateral spring constant, longitudinal spring constant, and dynamic spring constant. A method for evaluating the performance of a tire according to claim 1.

3. The evaluation result is an evaluation result for the handling stability of the vehicle equipped with the tires under evaluation, and the measured value includes at least one of the dynamic spring constant, cornering power, maximum cornering force, and self-aligning torque. A method for evaluating the performance of a tire according to claim 1 or 2.

4. Prepare multiple training datasets by combining the measured values ​​for the aforementioned reference tire and the measured values ​​for the training tire with the correct data. Using the aforementioned training dataset, the parameters defining the machine learning model are adjusted so that when a value corresponding to the measured value is input, a value corresponding to the correct answer data is output. It further includes, The aforementioned correct answer data represents the evaluation result obtained when the driver evaluates at least one of the ride comfort and handling stability of the vehicle equipped with the learning tires, using at least one of the ride comfort and handling stability of the vehicle equipped with the reference tires as a baseline. A method for evaluating the performance of a tire according to claim 1 or 2.

5. The process involves inputting multiple values ​​corresponding to the measured values ​​into a machine learning model that has been trained to take measured values ​​of a tire to be evaluated as input and output predictive values ​​that predict the driver's evaluation result for at least one of the ride comfort and handling stability of a vehicle equipped with the tire to be evaluated, and outputting multiple predictive values ​​for the multiple input values, The steps include: extracting the input value corresponding to the predicted value that matches the condition from the multiple predicted values ​​output; Have the computer run it, The aforementioned evaluation results are based on an evaluation of at least one of the ride comfort and handling stability of the vehicle equipped with the standard tires. A tire performance evaluation program.

6. A storage unit stores parameters that define a machine learning model that takes measured values ​​of the tire to be evaluated as input and outputs predicted values ​​that predict the driver's evaluation result for at least one of the ride comfort and handling stability of a vehicle equipped with the tire to be evaluated. A derivation unit that inputs multiple values ​​corresponding to the measured values ​​into the machine learning model and derives multiple predicted values ​​for the input values, An extraction unit extracts the input value corresponding to the predicted value that matches the condition from the multiple predicted values ​​output. Equipped with, The aforementioned evaluation results are based on an evaluation of at least one of the ride comfort and handling stability of the vehicle equipped with the standard tires. A device for evaluating tire performance.

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