JP2024069896A - TIRE PHYSICAL INFORMATION ESTIMATION DEVICE, TIRE PHYSICAL INFORMATION ESTIMATION METHOD, AND DATA PROCESSING DEVICE - Google Patents

Abstract

[Problem] To provide a tire physical information estimation device, a tire physical information estimation method, and a data processing device capable of estimating physical information related to a tire by simply constructing a calculation model. [Solution] A tire physical information estimation device 60 includes a physical information estimation unit 62, a physical information acquisition unit 64, and an estimation processing unit 65. The physical information estimation unit 62 estimates first tire physical information based on physical quantities measured on a vehicle or tire 10 by inputting the measured physical quantities into a trained calculation model 62a that estimates tire physical information generated by the motion of the tire 10. The physical information acquisition unit 64 acquires second tire physical information corresponding to position information at which the measured physical quantities were acquired. The estimation processing unit 65 estimates the tire physical information based on the first tire physical information and the second tire physical information. [Selected Figure] Figure 8

Description

The present invention relates to a tire physical information estimation device, a tire physical information estimation method, and a data processing device for estimating tire physical information.

Recently, research has been conducted into systems that input information measured on tires and vehicles into a learning-based computational model to estimate tire physical information such as tire force.

Patent Document 1 describes a conventional tire physical information estimation system. The tire physical information estimation system includes a physical information estimation unit and a data acquisition unit. The physical information estimation unit has a learning-type computation model extending from an input layer to an output layer in order to estimate physical information related to a tire that is generated by the motion of the tire. The data acquisition unit acquires input data for the input layer. The computation model has a feature extraction unit that extracts feature amounts by performing a convolution computation in the intermediate computation from the input layer to the output layer.

JP 2021-46080 A

The tire physical information estimation system described in Patent Document 1 ensures real-time estimation of tire physical information, but has the problem that it takes time and costs to build a learning model for each of multiple vehicle types and models.

The present invention was made in consideration of the above circumstances, and its purpose is to provide a tire physical information estimation device, a tire physical information estimation method, and a data processing device that can easily construct a calculation model and estimate physical information related to tires.

One aspect of the present invention is a tire physical information estimation device. The tire physical information estimation device includes a physical information estimation unit that estimates first tire physical information by inputting a physical quantity measured on a vehicle or a tire into a trained computation model that estimates tire physical information generated by tire motion, a physical information acquisition unit that acquires second tire physical information corresponding to position information from which the measured physical quantity was acquired, and an estimation processing unit that estimates tire physical information based on the first tire physical information and the second tire physical information.

A tire physical information estimation method according to another aspect of the present invention has a trained computation model that estimates tire physical information generated by tire motion based on physical quantities measured at the tire, and includes a physical information estimation step of estimating first tire physical information by inputting the physical quantities measured at the tire to the computation model, a physical information acquisition step of acquiring second tire physical information corresponding to vehicle position information based on tire physical information acquired in response to vehicle position information, and an estimation processing step of estimating tire physical information based on the first tire physical information and the second tire physical information.

A data processing device according to another aspect of the present invention includes a position information acquisition unit that acquires position information on a traveled route, a tire physical information acquisition unit that acquires tire physical information generated in tires mounted on a vehicle, and a storage unit that stores the tire physical information acquired by the tire physical information acquisition unit in correspondence with the position information acquired by the position information acquisition unit.

According to the present invention, it is possible to easily construct a computational model and estimate physical information about tires.

1 is a schematic diagram for explaining an overview of a tire physical information estimation system including a tire physical information estimation device according to an embodiment. FIG. 2 is a block diagram showing a functional configuration of a tire physical information estimation device in a reference vehicle A. FIG. FIG. 2 is a block diagram showing the functional configuration of a data processing device in a reference vehicle A. 1 is a graph showing an example of a route L for acquiring tire physical information map data. 1 is a graph showing an example of tire physical information map data relating to a tire force Fx. 11 is a graph showing an example of tire physical information map data regarding a tire force Fy. 11 is a graph showing an example of tire physical information map data relating to a tire force Fz. 4 is a block diagram showing a functional configuration of a tire physical information estimation device in a vehicle B. FIG. 4 is a flowchart showing a procedure of a tire physical information estimation process performed by the tire physical information estimation device. 5 is a graph showing an example of tire physical information estimated by an estimation processing unit. 10 is a table showing estimation accuracy by the tire physical information estimation device.

The present invention will be described below based on a preferred embodiment with reference to Figures 1 to 11. The same or equivalent components and parts shown in each drawing are given the same reference numerals, and duplicated explanations will be omitted as appropriate. Furthermore, the dimensions of the parts in each drawing are enlarged or reduced as appropriate to facilitate understanding. Furthermore, some of the parts that are not important for explaining the embodiment will be omitted in each drawing.

(Embodiment)
1 is a schematic diagram for explaining an overview of a tire physical information estimation system 100 including a tire physical information estimation device 60 according to an embodiment. The tire physical information estimation system 100 estimates tire physical information of a vehicle B by using a computation model for calculating learned tire physical information of a reference vehicle A and tire physical information map data acquired from the reference vehicle A.

For the reference vehicle A, a calculation model for calculating tire physical information is learned using a sensor 20 mounted on the tire 10 and a tire physical information estimation device 30, and tire physical information map data is generated by a data processing device 40.

The tire physical information map data is tire physical information data acquired corresponding to the position information of the reference vehicle A. The tire physical information map data can be acquired by driving the reference vehicle A along a specific route and measuring the tire physical information while acquiring the position information.

In vehicle B, which is different from reference vehicle A, tire physical information generated in a tire 10 mounted on vehicle B is estimated by a tire physical information estimation device 60. The tire physical information estimation device 60 estimates tire physical information based on first tire physical information calculated by a computation model trained on reference vehicle A and second tire physical information acquired based on tire physical information map data acquired on reference vehicle A. The tire physical information estimation device 60 estimates tire physical information, for example, by weighting and adding the first tire physical information and the second tire physical information. The tire physical information estimation device 60 corresponds to the tire physical information estimation device in the present invention.

The tire physical information includes the tire force F in three axial directions generated by the motion of the tire 10, and the moment acting on the tire 10 about three axes. Below, the system for estimating tire physical information will be described mainly using the tire force F as an example, but the same applies to other tire physical information.

The tire physical information estimation system 100 may include a server device 80 for acquiring and storing tire physical information map data and a learned computation model acquired by a reference vehicle A, and tire physical information estimated by a vehicle B via a communication network 91, and for monitoring the tire physical information.

The sensor 20 measures physical quantities of the tire 10, such as the acceleration and distortion of the tire 10, the tire air pressure, and the tire temperature, and outputs the measured data to the tire physical information estimation devices 30 and 60. The tire physical information estimation devices 30 and 60 use the data measured by the sensor 20 in the calculation to estimate the tire physical information, but may also obtain information from the vehicle side, such as vehicle acceleration, from a vehicle control device 90 or the like and use it in the calculation to estimate the tire physical information. The tire physical information estimation devices 30 and 60 may obtain information on physical quantities measured on the vehicle side, such as vehicle acceleration, from a vehicle control device 90 or the like, without using the physical quantities measured by the sensor 20, and use it in the calculation to estimate the tire physical information.

The tire physical information estimation device 60 outputs tire physical information such as the estimated tire force F and moments around three axes acting on the tire 10 to, for example, a vehicle control device 90. The vehicle control device 90 uses the tire physical information input from the tire physical information estimation device 60, for example, to estimate braking distance, apply it to vehicle control, and even notify the driver of information related to safe vehicle driving.

Figure 2 is a block diagram showing the functional configuration of the tire physical information estimation device 30 on the reference vehicle A. The sensor 20 has an acceleration sensor 21, a strain gauge 22, a pressure gauge 23, a temperature sensor 24, etc., and measures physical quantities in the tire 10. These sensors measure physical quantities related to the deformation and movement of the tire 10 as physical quantities of the tire 10. The sensor 20 provided on the reference vehicle A may be part of the tire physical information estimation device 30.

The acceleration sensor 21 and strain gauge 22 move mechanically together with the tire 10, and measure the acceleration and strain amount occurring in the tire 10, respectively. The acceleration sensor 21 is disposed, for example, in the tread, side, bead, wheel, etc. of the tire 10, and measures the acceleration in three axes of the tire 10: the circumferential direction, the axial direction, and the radial direction.

The strain gauges 22 are disposed in the tread, sides, beads, etc. of the tire 10, and measure the strain at the locations where they are disposed. The pressure gauge 23 and temperature sensor 24 are disposed, for example, in the air valve of the tire 10, and measure the tire air pressure and tire temperature, respectively. The temperature sensor 24 may be disposed directly on the tire 10 in order to accurately measure the temperature of the tire 10. The tires 10 may be fitted with, for example, an RFID 11 or the like to which unique identification information is assigned in order to identify each tire.

The tire physical information estimation device 30 has a data acquisition unit 31, a physical information estimation unit 32, a learning processing unit 33, and a communication unit 34. The tire physical information estimation device 30 is an information processing device such as a PC (personal computer). Each unit in the tire physical information estimation device 30 can be realized in hardware terms by electronic elements and mechanical parts such as a computer CPU, and in software terms by a computer program, but here, functional blocks realized by the cooperation of these are depicted. Therefore, it will be understood by those skilled in the art that these functional blocks can be realized in various forms by combining hardware and software.

The data acquisition unit 31 acquires information on acceleration, strain, air pressure, and temperature measured by the sensor 20 via wireless communication or the like. The communication unit 34 transmits the physical quantities of the tire 10 measured by the sensor 20, tire physical information estimated about the tire 10, and the like to the server device 80 via the communication network 91.

The physical information estimation unit 32 has a calculation model 32a, inputs information from the data acquisition unit 31 into the calculation model 32a, and estimates tire physical information such as tire force F and moments about three axes acting on the tire 10. As shown in FIG. 2, the tire force F has three axial components: a longitudinal force Fx in the longitudinal direction of the tire 10, a lateral force Fy in the lateral direction, and a load Fz in the vertical direction. The physical information estimation unit 32 may calculate all of these three axial components, or may calculate at least one of the components or two components in any combination.

The computation model 32a uses a learning model such as a neural network. The computation model 32a may be, for example, a CNN (Convolutional Neural Network) type, and may use a learning model equipped with convolution and pooling operations used in its prototype, the so-called LeNet. The CNN type computation model 32a uses, for example, acceleration data in three axial directions as input data, and outputs tire forces in three axial directions.

The computation model 32a includes an input layer, a feature extraction unit, an intermediate layer, a full connection unit, and an output layer, as shown in, for example, JP 2021-46080 A. The input layer receives time series data of acceleration in three axial directions acquired by the data acquisition unit 31. The acceleration data is measured in a time series manner by the sensor 20, and data for a certain time period is cut out using a window function to be used as input data. The feature extraction unit extracts features using a convolution operation, a pooling operation, or the like, and transmits them to each node in the intermediate layer. The full connection unit fully connects data from each node in the intermediate layer and transmits it to each node in the output layer. The output layer outputs tire physical information such as tire forces Fx, Fy, and Fz. The computation model 32a is not limited to the technology described in JP 2021-46080 A, and any known learning-type computation model can be used.

The learning processing unit 33 trains the calculation model 32a using the tire physical information measured by the tire physical information measurement device 50 as training data. The tire physical information measurement device 50 is provided on the axle, the tire 10, etc., and measures tire physical information such as the tire force F and moments around three axes acting on the tire 10.

The learning processing unit 33 can perform learning of the computation model 32a by test driving an actual reference vehicle A equipped with a tire 10 with specifications corresponding to the vehicle. The specifications of the tire 10 include information related to the performance of the tire, such as tire size, tire width, aspect ratio, tire strength, tire outer diameter, load index, and date of manufacture.

The computation model 32a is constructed by learning one model for the same vehicle type, such as a compact car, a light car, or a truck, and is used for other vehicles of the same vehicle type. For example, the computation model 32a learned for a reference vehicle A with one vehicle name belonging to a compact car is used as the computation model 32a for tire physical information for a vehicle B with another vehicle name belonging to the same compact car. Also, the computation model 32a learned for a reference vehicle A belonging to one vehicle type (e.g. a compact car) can be used as the computation model 32a for tire physical information for another vehicle B belonging to a different vehicle type (e.g. a light car).

Figure 3 is a block diagram showing the functional configuration of the data processing device 40 in the reference vehicle A. The data processing device 40 has a data processing unit 41, a memory unit 42, and a communication unit 43. The data processing device 40 is, for example, an information processing device such as a PC (personal computer). Each unit in the data processing device 40 can be realized in hardware terms by electronic elements and mechanical parts such as a computer CPU, and in software terms by a computer program, but here, functional blocks realized by the cooperation of these are depicted. Therefore, it will be understood by those skilled in the art that these functional blocks can be realized in various forms by combining hardware and software.

The data processing unit 41 has a position information acquisition unit 41a and a tire physical information acquisition unit 41b. The position information acquisition unit 41a acquires the current position information (latitude and longitude) of the vehicle from a GPS receiver or the like mounted on the reference vehicle A. The tire physical information acquisition unit 41b acquires tire physical information such as tire force F and moments around three axes acting on the tire 10 from the tire physical information measurement device 50.

The storage unit 42 is a storage device configured, for example, by an SSD (Solid State Drive), a hard disk, a CD-ROM, a DVD, etc. The storage unit 42 associates the position information of the reference vehicle A acquired by the data processing unit 41 with the tire physical information and stores the information as tire physical information map data. The communication unit 43 transmits the tire physical information map data stored in the storage unit 42 to the server device 80 via the communication network 91.

Figure 4 is a graph showing an example of a route L for acquiring tire physical information map data. As shown in Figure 4, a reference vehicle A is driven along a predetermined route L, and current position information (latitude and longitude) of the reference vehicle A is acquired, while tire physical information such as tire force F and moments around three axes acting on the tire 10 is acquired from the tire physical information measuring device 50.

Figure 5 is a graph showing an example of tire physical information map data related to tire force Fx, Figure 6 is a graph showing an example of tire physical information map data related to tire force Fy, and Figure 7 is a graph showing an example of tire physical information map data related to tire force Fz. Figures 5 to 7 show tire forces Fx, Fy, and Fz measured at each position (latitude and longitude) when a reference vehicle A is driven along a predetermined route L.

Figure 8 is a block diagram showing the functional configuration of a tire physical information estimation device 60 in vehicle B. The sensor 20 provided on the tire 10 of vehicle B is equivalent to the sensor 20 provided on the reference vehicle A, and description thereof will be omitted for brevity. In addition, the tire 10 of vehicle B may be equipped with, for example, an RFID 11 or the like to which unique identification information is assigned in order to identify each tire. The sensor 20 provided on vehicle B may be part of the tire physical information estimation device 60.

The tire physical information estimation device 60 has a data acquisition unit 61, a physical information estimation unit 62, a position information acquisition unit 63, a physical information acquisition unit 64, an estimation processing unit 65, a storage unit 66, and a communication unit 67. The tire physical information estimation device 60 is an information processing device such as a PC (personal computer). Each unit in the tire physical information estimation device 60 can be realized in hardware terms by electronic elements and mechanical parts such as a computer CPU, and in software terms by a computer program, but here, functional blocks realized by the cooperation of these are depicted. Therefore, it will be understood by those skilled in the art that these functional blocks can be realized in various forms by combining hardware and software.

The communication unit 67 communicates with external devices such as the vehicle control device 90 and the server device 80 via wired or wireless communication. The communication unit 67 transmits the physical quantities of the tire 10 measured by the sensor 20 provided on the vehicle B and tire physical information estimated on the vehicle B to the external devices via a communication line, such as a CAN (control area network), the Internet, etc.

The storage unit 66 is a storage device that is configured, for example, with an SSD (Solid State Drive), a hard disk, a CD-ROM, a DVD, etc. The storage unit 66 acquires tire physical information map data that associates the position information acquired on the reference vehicle A with tire physical information from the server device 80, etc., and stores it.

The data acquisition unit 61 acquires information on acceleration, strain, air pressure, and temperature measured by a sensor 20 installed in vehicle B via wireless communication or the like, and outputs the information to the physical information estimation unit 62.

The physical information estimation unit 62 has a calculation model 62a, inputs information from the data acquisition unit 61 to the calculation model 62a, and estimates tire physical information such as tire force F and moments around three axes acting on the tire 10. The calculation model 62a uses the calculation model 32a that has been trained on the reference vehicle A. The tire physical information estimated by the physical information estimation unit 62 is referred to as first tire physical information.

In the physical information estimation unit 62, similar to the physical information estimation unit 32 of the tire physical information estimation device 30, time series data of acceleration in three axial directions acquired by the data acquisition unit 31, for example, is input to the input layer of the calculation model 62a. The acceleration data is measured in time series by the sensor 20 in the vehicle B, and data for a certain time interval is extracted using a window function to be used as input data. The calculation model 62a outputs the first tire physical information, such as tire forces Fx, Fy, and Fz, from the output layer.

The position information acquisition unit 63 acquires the vehicle's current position information (latitude and longitude) from a GPS receiver or the like mounted on vehicle B, and outputs it to the physical information acquisition unit 64. The physical information acquisition unit 64 acquires tire physical information corresponding to the current position of vehicle B based on the tire physical information map data of reference vehicle A stored in the memory unit 66. The tire physical information acquired by the physical information acquisition unit 64 is referred to as second tire physical information.

The physical information acquisition unit 64 acquires tire physical information at a position in the tire physical information map data that is closest to the current position of vehicle B as the second tire physical information. The physical information acquisition unit 64 reads tire physical information at two positions in the tire physical information map data that are close to the current position of vehicle B from the storage unit 66, and acquires the tire physical information as the second tire physical information by, for example, calculating the average value.

The estimation processing unit 65 estimates the tire physical information of the tire 10 mounted on the vehicle B based on the first tire physical information estimated by the physical information estimation unit 62 and the second tire physical information acquired by the physical information acquisition unit 64. The estimation processing unit 65 estimates the tire physical information, for example, by weighting and adding the first tire physical information and the second tire physical information.

The estimation processing unit 65 outputs the estimated tire physical information to the memory unit 66 for storage. The tire physical information of vehicle B stored in the memory unit 66 is transmitted to external devices such as the vehicle control device 90 and the server device 80 via the communication unit 67.

The server device 80 acquires tire physical information, such as the physical quantities of the tire 10 measured by the sensor 20, as well as tire force F estimated for the tire 10 and moments around three axes acting on the tire 10, from the tire physical information estimation device 60. The server device 80 may accumulate the physical quantities measured for the tire 10 and the tire physical information estimated by the tire physical information estimation device 60 from multiple vehicles.

Next, the operation of the tire physical information estimation system 100 will be described. FIG. 9 is a flowchart showing the procedure of tire physical information estimation processing by the tire physical information estimation device 60. The data acquisition unit 61 of the tire physical information estimation device 60 acquires physical quantities measured in the tire 10 by the sensor 20, such as the acceleration, strain, tire air pressure, and tire temperature of the tire 10 (S1).

The physical information estimation unit 62 inputs the data acquired by the data acquisition unit 61 to the calculation model 62a and estimates the first tire physical information (S2). In estimating the first tire physical information, the input data to the calculation model 62a may be, for example, acceleration data for two axes, the circumferential direction and the axial direction of the tire 10, or may be acceleration data for three axes. Furthermore, at least one of data on the strain in the tire 10, the tire pressure, and the tire temperature may be included in the input data to the calculation model 62a.

The position information acquisition unit 63 acquires the position information of vehicle B from a GPS receiver or the like mounted on vehicle B (S3). The physical information acquisition unit 64 acquires tire physical information in the tire physical information map data corresponding to the position information of vehicle B as second tire physical information (S4). The estimation processing unit 65 estimates tire physical information of the tire 10 mounted on vehicle B based on the first tire physical information estimated in step S2 and the second tire physical information acquired in step S4 (S5), and ends the process.

Figure 10 is a graph showing an example of tire physical information estimated by the estimation processing unit 65. In Figure 10, the horizontal axis is time and the vertical axis is load, and a graph of tire force Fy is shown as tire physical information. When tire physical information map data is acquired in reference vehicle A, vehicle B is driven along the same route as reference vehicle A, and the first tire physical information is estimated and the second tire physical information is calculated in vehicle B. In the example shown in Figure 10, the first tire physical information and the second tire physical information are weighted at a ratio of 1:2 and added together to estimate tire physical information. The estimation processing unit 65 estimates tire physical information by multiplying the first tire physical information by 1/3 and multiplying the second tire physical information by 2/3 and adding them together.

Figure 11 is a chart showing the estimation accuracy by the tire physical information estimation device 60. Figure 11 shows the estimation accuracy of tire physical information based on the first tire physical information and the second tire physical information by the tire physical information estimation device 60 as an embodiment, and the estimation accuracy of tire physical information using only the second tire physical information as a comparative example. The estimated tire physical information is tire forces Fx, Fy, and Fz. The estimation accuracy uses the mean absolute error (MAE) between each estimated value of the tire physical information and the actual measured value.

The MAE value of the tire physical information based on the first tire physical information and the second tire physical information by the tire physical information estimation device 60 is smaller than that of the comparative example for all tire forces Fx, Fy, and Fz, indicating that the estimation accuracy is good.

The tire physical information estimation device 60 can omit learning the calculation model on vehicle B by using the calculation model 32a learned on the reference vehicle A and the tire physical information map data acquired on the reference vehicle A. This allows the tire physical information estimation device 60 to simply construct a calculation model and estimate tire physical information. The tire physical information estimation device 60 can improve estimation accuracy compared to, for example, a case in which only the tire physical information map data is used on vehicle B and estimation of tire physical information using the calculation model is omitted.

The estimation processing unit 65 of the tire physical information estimation device 60 can change the synthesis ratio of the first tire physical information and the second tire physical information depending on the type of vehicle, etc., by weighting and adding the first tire physical information and the second tire physical information.

The sensor 20 installed on the tire 10 of the vehicle B measures at least one of the acceleration, strain, pressure, and temperature of the tire 10. The tire physical information estimation device 60 uses the data measured by the sensor 20 as input data and can estimate the first tire physical information using a calculation model 62a on the vehicle B.

The estimation processing unit 65 can provide the information necessary to analyze the behavior of the tire 10, such as slippage, by estimating the tire force F in three axial directions as tire physical information.

The data processing device 40 also acquires tire physical information using the tire physical information acquisition unit 41b in response to the location information acquired by the location information acquisition unit 41a, and stores the tire physical information in the memory unit 42, thereby providing the information necessary to estimate the tire physical information on the vehicle B.

Next, features of the tire physical information estimation device 60, the tire physical information estimation method, and the data processing device 40 according to the embodiment will be described.
A tire physical information estimation device 60 according to the embodiment includes a physical information estimation unit 62, a physical information acquisition unit 64, and an estimation processing unit 65. The physical information estimation unit 62 estimates first tire physical information based on physical quantities measured on the vehicle or the tire 10 by inputting the measured physical quantities to a trained computation model 62a that estimates tire physical information generated by the motion of the tire 10. The physical information acquisition unit 64 acquires second tire physical information corresponding to position information at which the measured physical quantities were acquired. The estimation processing unit 65 estimates the tire physical information based on the first tire physical information and the second tire physical information. This allows the tire physical information estimation device 60 to simply construct a computation model and estimate tire physical information.

The estimation processing unit 65 also weights and adds the first tire physical information and the second tire physical information. This allows the tire physical information estimation device 60 to change the combination ratio of the first tire physical information and the second tire physical information depending on the type of vehicle, etc.

The tire 10 further includes a sensor 20 that is provided on the tire 10 and measures a physical quantity generated in the tire 10. The sensor 20 measures at least one of the acceleration, strain, pressure, and temperature in the tire 10. As a result, the tire physical information estimation device 60 can use the data measured by the sensor 20 as input data and estimate the first tire physical information using the calculation model 62a.

The tire physical information is also the tire force F in three axial directions. This allows the tire physical information estimation device 60 to provide the information necessary to analyze behavior such as slippage in the tire 10.

The tire physical information estimation method includes a physical information estimation step, a physical information acquisition step, and an estimation processing step. The physical information estimation step has a trained calculation model 62a that estimates tire physical information caused by the motion of the tire 10 based on physical quantities measured at the tire 10, and estimates first tire physical information by inputting the physical quantities measured at the tire 10 to the calculation model 62a. The physical information acquisition step acquires second tire physical information corresponding to the vehicle position information based on tire physical information acquired in response to the vehicle position information. The estimation processing step estimates tire physical information based on the first tire physical information and the second tire physical information. According to this method, it is possible to estimate tire physical information by simply constructing a calculation model.

The data processing device 40 includes a position information acquisition unit 41a, a tire physical information acquisition unit 41b, and a memory unit 42. The position information acquisition unit 41a acquires position information on the route traveled. The tire physical information acquisition unit 41b acquires tire physical information generated in the tire 10 mounted on the vehicle. The memory unit 42 stores the tire physical information acquired by the tire physical information acquisition unit 41b in correspondence with the position information acquired by the position information acquisition unit 41a. This allows the data processing device 40 to provide information necessary for estimating tire physical information on vehicle B.

The above describes the embodiments of the present invention. These embodiments are merely examples, and it will be understood by those skilled in the art that various modifications and changes are possible within the scope of the claims of the present invention, and that such modifications and changes are also within the scope of the claims of the present invention. Therefore, the descriptions and drawings in this specification should be treated as illustrative rather than restrictive.

10 Tire, 20 Sensor, 40 Data processing device,
41a: position information acquisition unit; 41b: tire physical information acquisition unit; 42: storage unit;
60 Tire physical information estimation device, 62 Physical information estimation unit, 62a Calculation model,
64 Physical information acquisition unit, 65 Estimation processing unit.

Claims (6)

a physical information estimation unit that estimates first tire physical information by inputting the measured physical quantity of a vehicle or a tire into a trained calculation model that estimates tire physical information generated by a tire motion;
a physical information acquiring unit that acquires second tire physical information corresponding to position information at which the measured physical quantity is acquired;
an estimation processing unit that estimates tire physical information based on the first tire physical information and the second tire physical information;
A tire physical information estimation device comprising: The tire physical information estimation device according to claim 1, characterized in that the estimation processing unit weights and adds the first tire physical information and the second tire physical information. A sensor is provided in the tire and measures a physical quantity generated in the tire,
3. The tire physical information estimation device according to claim 1, wherein the sensor measures at least one of acceleration, strain, pressure, and temperature in the tire. The tire physical information estimation device according to claim 1 or 2, characterized in that the tire physical information is tire forces in three axial directions. a physical information estimating step of estimating first tire physical information by inputting the physical quantities measured at the tire to the trained calculation model, the trained calculation model having a trained calculation model for estimating tire physical information generated by a tire motion based on physical quantities measured at the tire;
a physical information acquiring step of acquiring second tire physical information corresponding to the vehicle position information based on the tire physical information acquired corresponding to the vehicle position information;
an estimation processing step of estimating tire physical information based on the first tire physical information and the second tire physical information;
A tire physical information estimation method comprising: A location information acquisition unit that acquires location information on a traveled route;
a tire physical information acquisition unit that acquires tire physical information generated in a tire mounted on a vehicle;
a storage unit configured to store the tire physical information acquired by the tire physical information acquisition unit in correspondence with the location information acquired by the location information acquisition unit;
A data processing device comprising:

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