Estimation device, estimation method, program, and learning device

Abstract

This estimation device is provided with an estimation unit that inputs electrical characteristics obtained from a target tire that is an estimation target to a learning model that learns, as input electrical characteristics, electrical characteristics of a conductive rubber provided in a tire and physical quantities relating to the tire as learning data and outputs the physical quantities. A physical quantity related to the target tire is estimated.

Description

Technical Field

[0001] The technology of the present disclosure relates to an estimation device, an estimation method, a program, and a learning device. Background Art

[0002] In Pamphlet No. WO 2021 / 124992, an estimation device that can estimate the deformation of a member without directly measuring the deformation is disclosed. The estimation device includes an estimation unit that learns, as a learning model, at least three physical quantities of different types that change corresponding to the deformation of a linearly or non-linearly deforming member and include target physical quantities corresponding to time series information, and outputs the target physical quantity with at least two physical quantities other than the target physical quantity as inputs. The estimation unit inputs two physical quantities to be estimated corresponding to at least two physical quantities other than the target physical quantity, and estimates the target physical quantity corresponding to the object to be estimated.

[0003] In Japanese Unexamined Patent Application Publication No. 2006-208052, a strain sensor for a rubber article that can measure the strain of a rubber article represented by a tire in a wide range of up to about several hundred percent is disclosed. The strain sensor for a rubber article is composed of a strain-detecting rubber composition containing conductive particles, and can measure the change in resistance caused by the strain generated by an applied load to detect the strain. Summary of the Invention

[0004] Problems to be Solved by the Invention

[0005] In Pamphlet No. WO 2021 / 124992 and Japanese Unexamined Patent Application Publication No. 2006-208052, there is no description of a structure for estimating physical quantities related to a tire.

[0006] The technology of the present disclosure has been completed in view of the above problems. As an example, an object thereof is to provide an estimation device, an estimation method, a program, and a learning device that can estimate physical quantities related to a tire without directly measuring the physical quantities related to the tire.

[0007] Solutions to the Problems

[0008] A first aspect of the technology of the present disclosure is an estimation device including an estimation unit that learns, as a learning model, the electrical characteristics of a conductive rubber included in a tire and physical quantities related to the tire, and outputs a physical quantity when the electrical characteristics are input. The estimation unit inputs the electrical characteristics obtained from an object tire to be estimated, and estimates the physical quantities related to the object tire.

[0009] A second aspect of the technology of the present disclosure is that, in the estimation device according to the first aspect, the electrical characteristics include the resistance of the conductive rubber.

[0010] In a third aspect of the technology of the present disclosure, in the estimation device according to the first aspect or the second aspect, the physical quantity is a physical quantity related to the running of the tire.

[0011] In a fourth aspect of the technology of the present disclosure, in the estimation device according to any one of the first to third aspects, the physical quantity includes the slip angle of the tire.

[0012] In a fifth aspect of the technology of the present disclosure, in the estimation device according to any one of the first to fourth aspects, the physical quantity includes the camber angle of the tire.

[0013] In a sixth aspect of the technology of the present disclosure, in the estimation device according to any one of the first to fifth aspects, the physical quantity includes the load applied to the tire.

[0014] In a seventh aspect of the technology of the present disclosure, in the estimation device according to any one of the first to sixth aspects, the physical quantity includes the lateral force acting on the tire.

[0015] In an eighth aspect of the technology of the present disclosure, in the estimation device according to any one of the first to seventh aspects, the conductive rubber has a contact portion provided at a position in contact with the rim.

[0016] In a ninth aspect of the technology of the present disclosure, in the estimation device according to the eighth aspect, the contact portion is provided at the bead portion.

[0017] In a tenth aspect of the technology of the present disclosure, in the estimation device according to the eighth aspect or the ninth aspect, the rim has a conductive portion in contact with the contact portion.

[0018] In an eleventh aspect of the technology of the present disclosure, in the estimation device according to the tenth aspect, the conductive portion is provided at the bead seat portion.

[0019] In a twelfth aspect of the technology of the present disclosure, an estimation method includes: for a learning model that learns the electrical characteristics of the conductive rubber provided in the tire and the physical quantities related to the tire as learning data to input the electrical characteristics and output the physical quantities, inputting the electrical characteristics obtained from the target tire to be estimated to estimate the physical quantities related to the target tire.

[0020] In a thirteenth aspect of the technology of the present disclosure, a program causes a computer to execute the following process, the process including: for a learning model that learns the electrical characteristics of the conductive rubber provided in the tire and the physical quantities related to the tire as learning data to input the electrical characteristics and output the physical quantities, inputting the electrical characteristics obtained from the target tire to be estimated to estimate the physical quantities related to the target tire.

[0021] A fourteenth aspect of the technology disclosed herein is a learning device including a learning unit that generates a learning model. The learning model is a model that learns electrical characteristics of conductive rubber included in a tire and physical quantities related to the tire as learning data, and outputs a physical quantity when an electrical characteristic is input.

[0022] Effects of the Invention

[0023] According to the technology disclosed herein, as an example, it is possible to estimate physical quantities related to a tire without directly measuring the physical quantities related to the tire. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 is a perspective view schematically showing a tire - rim assembly according to the present embodiment.

[0025] Figure 2 is a cross - sectional view showing a part of the tire - rim assembly according to the present embodiment from the equatorial plane by half.

[0026] Figure 3 is a block diagram showing an estimation system according to the present embodiment.

[0027] Figure 4 is a block diagram showing a functional configuration of an estimation device according to the present embodiment.

[0028] Figure 5 is a flowchart showing a process flow of an estimation process according to the present embodiment.

[0029] Figure 6 is a block diagram showing a functional configuration of a learning device according to the present embodiment.

[0030] Figure 7 is an explanatory diagram showing a mode of a learning process according to the present embodiment.

[0031] Figure 8 is a flowchart showing a process flow of a learning process according to the present embodiment.

[0032] Figure 9 is a block diagram showing a hardware configuration of an estimation device according to the present embodiment.

[0033] Figure 10 is a perspective view showing a first modification related to a strain detection body according to the present embodiment.

[0034] Figure 11 is a perspective view showing a second modification related to a strain detection body according to the present embodiment.

[0035] Figure 12It is a perspective view showing a third modification example related to the strain detection body according to the present embodiment.

[0036] Figure 13 It is a perspective view showing a fourth modification example related to the strain detection body according to the present embodiment.

[0037] Figure 14 It is a perspective view showing a fifth modification example related to the strain detection body according to the present embodiment.

[0038] Figure 15 It is a perspective view showing a sixth modification example related to the strain detection body according to the present embodiment.

[0039] Figure 16 It is a perspective view showing a seventh modification example related to the tire - rim assembly according to the present embodiment.

[0040] Figure 17 It is a perspective view showing an eighth modification example related to the tire - rim assembly according to the present embodiment.

[0041] Figure 18 It is a perspective view showing a ninth modification example related to the tire - rim assembly according to the present embodiment.

[0042] Figure 19 It is a graph showing the estimation results according to the examples.

[0043] Figure 20 It is a cross - sectional view showing an example in which an RF tag is provided on the tire according to the present embodiment. Detailed implementation mode

[0044] Hereinafter, an embodiment of the technology of the present disclosure will be described with reference to the drawings.

[0045] Figure 1 The tire - rim assembly 10 according to the present embodiment is schematically shown. The tire - rim assembly 10 includes a tire 12 and a rim 14. The tire 12 is mounted on the rim 14. The tire 12 can be a tire of any vehicle.

[0046] The tire 12 includes a plurality of first conductive rubbers 16A and a plurality of second conductive rubbers 16B. The number of the plurality of first conductive rubbers 16A can be arbitrary. Similarly, the number of the plurality of second conductive rubbers 16B can also be arbitrary. In Figure 1 the example shown, as the plurality of first conductive rubbers 16A, a pair of first conductive rubbers 16A is used, and as the plurality of second conductive rubbers 16B, a pair of second conductive rubbers 16B is used.

[0047] Both the first conductive rubber 16A and the second conductive rubber 16B have conductivity by containing conductive particles. As the first conductive rubber 16A and the second conductive rubber 16B, for example, the rubber composition for strain detection described in Japanese Patent Application Laid-Open No. 2006-208052 can be applied.

[0048] A pair of first conductive rubbers 16A are arranged separated from each other in the axial direction of the tire 12 across the equatorial plane 18 of the tire 12. A first connecting member 20A extending in the axial direction of the tire 12 is provided between the pair of first conductive rubbers 16A, and the first connecting member 20A electrically connects the ends on the equatorial plane 18 side of the pair of first conductive rubbers 16A to each other. The first connecting member 20A can be a wiring or a conductive rubber.

[0049] A pair of second conductive rubbers 16B are arranged separated from each other in the axial direction of the tire 12 across the equatorial plane 18 of the tire 12, and are also arranged separated from each other in the circumferential direction of the tire 12. A second connecting member 20B extending in the circumferential direction of the tire 12 is provided between the pair of second conductive rubbers 16B, and the second connecting member 20B electrically connects the ends on the equatorial plane 18 side of the pair of second conductive rubbers 16B to each other. The second connecting member 20B can be a wiring or a conductive rubber.

[0050] A first strain detection body 22A for detecting the strain of the tire 12 is formed by the pair of first conductive rubbers 16A and the first connecting member 20A. Similarly, a second strain detection body 22B for detecting the strain of the tire 12 is formed by the pair of second conductive rubbers 16B and the second connecting member 20B.

[0051] Hereinafter, when it is not necessary to distinguish between the first conductive rubber 16A and the second conductive rubber 16B for description, the first conductive rubber 16A and the second conductive rubber 16B are referred to as "conductive rubber 16". In addition, when it is not necessary to distinguish between the first connecting member 20A and the second connecting member 20B for description, the first connecting member 20A and the second connecting member 20B are referred to as "connecting member 20". In addition, when it is not necessary to distinguish between the first strain detection body 22A and the second strain detection body 22B for description, the first strain detection body 22A and the second strain detection body 22B are referred to as "strain detection body 22".

[0052] In Figure 1In the illustrated example, two strain detection bodies 22 are provided on the tire 12, but the number of strain detection bodies 22 provided on the tire 12 may be arbitrary. In addition, the strain detection body 22 includes a connection member 20, but the connection member 20 may not be included. Further, the strain detection body 22 may be composed only of the conductive rubber 16, or may include members other than the conductive rubber 16 and the connection member 20 on the basis of the conductive rubber 16. In addition, the number of the conductive rubbers 16 included in the strain detection body 22 may be arbitrary.

[0053] When the strain of the conductive rubber 16 changes according to the state of the traveling tire 12, the electrical characteristics of the conductive rubber 16 change. The electrical characteristics of the conductive rubber 16 include, for example, the resistance of the conductive rubber 16. By measuring the electrical characteristics of the strain detection body 22 including the conductive rubber 16, the strain of the tire 12 can be detected.

[0054] Figure 2 Half of the tire-rim assembly 10 according to the present embodiment from the equatorial plane 18 is shown. The tire 12 includes a plurality of structural parts. Specifically, as an example of the plurality of structural parts, the tire 12 includes a tread portion 24, a shoulder portion 26, a sidewall portion 28, and a bead portion 30.

[0055] An inner liner 32 is provided on the inner surface 12A of the tire 12. As an example of the inner surface 12A of the tire 12, the inner liner 32 is provided on the inner surfaces of the tread portion 24, the shoulder portion 26, the sidewall portion 28, and the bead portion 30. The inner liner 32 is provided in a ring shape in the circumferential direction of the tire 12.

[0056] The rim 14 has a bead seat portion 34 and a rim flange portion 36. The bead portion 30 is assembled to the bead seat portion 34. The rim flange portion 36 is continuous with the bead seat portion 34 and is located outside the bead portion 30.

[0057] Figure 2 The illustrated conductive rubber 16 corresponds to each of the pair of first conductive rubbers 16A and the pair of second conductive rubbers 16B (both are referred to Figure 1 ). The conductive rubber 16 is provided over the tread portion 24, the shoulder portion 26, the sidewall portion 28, and the bead portion 30.

[0058] As an example, the conductive rubber 16 has an axial portion 38, a radial portion 40, and a contact portion 42. The axial portion 38 and the radial portion 40 are parts of the conductive rubber 16, and the contact portion 42 is another part of the conductive rubber 16. The axial portion 38 is a portion extending in the axial direction of the tire 12 and is provided on the tread portion 24. The radial portion 40 is a portion extending in the radial direction of the tire 12 and is provided over the shoulder portion 26, the sidewall portion 28, and the bead portion 30.

[0059] As an example, the conductive rubber 16 is formed into a sheet shape. By forming the conductive rubber 16 into a sheet shape, the axial portion 38 extends in the axial and circumferential directions of the tire 12, and the radial portion 40 extends in the radial and circumferential directions of the tire 12.

[0060] As an example, the axial portion 38 and the radial portion 40 are provided on the inner surface 12A of the tire 12. Specifically, the axial portion 38 and the radial portion 40 are provided on the inner liner 32 which is an example of the inner surface 12A of the tire 12. The conductive rubber 16 may constitute at least a part of the inner liner 32, or may be an independent member other than the inner liner 32.

[0061] In addition, the conductive rubber 16 may be formed flush with the inner liner 32, or may overlap at least one of the front and back surfaces of the inner liner 32. In addition, the tire 12 may be manufactured by vulcanizing in a state where the conductive rubber 16 is adhered to the inner liner 3 of the green tire.

[0062] The contact portion 42 is provided at a position in contact with the rim 14. Specifically, as an example of the position in contact with the rim 14, the contact portion 42 is provided at the bead portion 30. More specifically, the contact portion 42 is provided on the facing surface 30A of the bead portion 30 facing the bead seat portion 34. The contact portion 42 extends from the radial portion 40 along the facing surface 30A from the inside to the outside of the tire 12.

[0063] The rim 14 has a plurality of conductive portions 44. Figure 2 One of the plurality of conductive portions 44 is shown, but in the rim 14, the conductive portions 44 are provided at positions corresponding to the respective conductive rubbers 16. As an example, the conductive portion 44 is provided on a part of the circumferential direction of the rim 14.

[0064] The conductive portion 44 has conductivity. The conductive portion 44 may be formed by an area where a part of the coating film covering the surface of the rim 14 having conductivity is exposed from the surface of the rim 14 (that is, an area of a part of the surface of the rim 14). In addition, the conductive portion 44 may be a member provided in the exposed area on the surface of the rim 14 (that is, another member other than the rim 14). In addition, when the conductive portion 44 is formed by another member other than the rim 14, the conductive portion 44 may be made of metal or resin. In addition, the conductive portion 44 may be in a sheet shape.

[0065] The conductive portion 44 is provided at a position in contact with the contact portion 42. Specifically, as an example of the position in contact with the contact portion 42, the conductive portion 44 is provided at the bead seat portion 34. More specifically, the conductive portion 44 is provided on the facing surface 34A of the bead seat portion 34 facing the bead portion 30. By being provided on the facing surface 34A, the conductive portion 44 is in close contact with the contact portion 42.

[0066] Figure 3 An estimation system S according to this embodiment is shown. The estimation system S is a system that estimates physical quantities related to a traveling tire 12 based on the electrical characteristics of a plurality of strain detection elements 22. The estimation system S includes a tire-rim assembly 10 and an estimation device 50. The estimation system S can be applied to any vehicle.

[0067] The tire-rim assembly 10 includes an output device 52. The output device 52 can be mounted on the tire 12 or on the rim 14. The output device 52 can be incorporated into, for example, a tire pressure monitoring system (TPMS: Tire Pressure Monitoring System). The output device 52 is electrically connected to a plurality of strain detection elements 22. Specifically, the output device 52 is electrically connected to each conductive rubber 16 via a conductive portion 44 (see Figure 2 ).

[0068] The conductive portion 44 can be electrically connected to the output device 52 via a wiring (not shown) or can be electrically connected to the output device 52 via the rim 14. Further, when the conductive portion 44 is electrically connected to the output device 52 via the rim 14, the output device 52 can also be electrically connected to the rim 14 by being mounted on the rim 14 via a threaded member or the like (not shown).

[0069] In Figure 3 the example shown, two strain detection elements 22 are provided in the tire 12, but the number of strain detection elements 22 provided in the tire 12 can be arbitrary. Here, an example in which two strain detection elements 22 are provided in the tire 12 will be described.

[0070] The output device 52 is a device having an electrical circuit (not shown) that outputs a first detection signal corresponding to the electrical characteristics of a first strain detection element 22A including a pair of first conductive rubbers 16A and a second detection signal corresponding to the electrical characteristics of a second strain detection element 22B including a pair of second conductive rubbers 16B. Hereinafter, when it is not necessary to distinguish between the first detection signal and the second detection signal for description, the first detection signal and the second detection signal are referred to as "detection signals".

[0071] The output device 52 and the estimation device 50 each include a communication circuit (not shown) and are communicably connected to each other via the communication circuit. The communication circuit can be a circuit for wired communication or a circuit for wireless communication. Figure 3 An example in which the communication circuit is a circuit for wireless communication is shown as an example.

[0072] Figure 4The functional configuration of the estimation device 50 according to the present embodiment is shown. The estimation device 50 performs an estimation process. The estimation device 50 includes an estimation unit 54. The estimation process is implemented by the estimation unit 54.

[0073] As an example, the electrical characteristics of the first strain detector 22A are input to the estimation unit 54 as first input data 56, and the electrical characteristics of the second strain detector 22B are input to the estimation unit 54 as second input data 58. The estimation unit 54 uses the learned learning model 60 that has undergone deep learning to estimate a physical quantity related to the tire 12 to be estimated (i.e., the unknown tire 12 as the target tire), and outputs the estimated physical quantity as output data 62.

[0074] The electrical characteristics of the strain detector 22 include, for example, the resistance of the strain detector 22. The electrical characteristics of the strain detector 22 may also include electrical characteristics other than the resistance of the strain detector 22. Examples of electrical characteristics other than resistance include impedance or capacitance. Hereinafter, the resistance of the strain detector 22 will be taken as an example to illustrate the electrical characteristics of the strain detector 22. In addition, for convenience, it is assumed that the electrical characteristics of the strain detector 22 are synonymous with the electrical characteristics of the conductive rubber 16 included in the strain detector 22. Similarly, it is assumed that the resistance of the strain detector 22 is synonymous with the resistance of the conductive rubber 16 included in the strain detector 22.

[0075] In Figure 4 In the example shown, the electrical characteristics of the strain detector 22 are input to the estimation unit 54, but in addition to the electrical characteristics of the strain detector 22, measurement values or detection values related to the tire 12 may also be input to the estimation unit 54. In addition, in addition to the electrical characteristics of the strain detector 22, measurement values or detection values related to the vehicle on which the tire 12 is mounted may also be input to the estimation unit 54. In addition, in addition to the resistance of the strain detector 22, electrical characteristics other than the resistance of the strain detector 22 may also be input to the estimation unit 54.

[0076] Physical quantities related to the tire 12 include, for example, the slip angle of the tire 12, the camber angle of the tire 12, the rotational speed of the tire 12, the load applied to the tire 12, and the lateral force acting on the tire 12. The physical quantities related to the tire 12 may be only the slip angle, camber angle, rotational speed, load, and lateral force, or may be one or more of the slip angle, camber angle, rotational speed, load, and lateral force.

[0077] In addition, the physical quantities related to the tire 12 may include other physical quantities related to the tire 12 in addition to the slip angle, camber angle, rotational speed, load, and lateral force. Moreover, as long as the physical quantity is related to the running of the tire 12, the physical quantity related to the tire 12 may also be a physical quantity other than the above. In addition, the estimation unit 54 may estimate other physical quantities (for example, physical quantities related to the vehicle) in addition to estimating the physical quantities related to the tire 12.

[0078] The learning model 60 is a model that has completed the following learning: deriving the physical quantities related to the tire 12 based on the electrical characteristics of the first strain detection body 22A and the electrical characteristics of the second strain detection body 22B. The learning model 60 is, for example, a model that specifies a learned neural network, and is represented as a set of information on the weights (i.e., strengths) of the couplings between the nodes (i.e., neurons) constituting the neural network.

[0079] In addition, as a technique applied to the estimation process using the learning model 60, for example, the technique described in International Publication No. 2021 / 124992 pamphlet can be applied.

[0080] Figure 5 The flow of the estimation process according to the present embodiment is shown. The estimation method implemented by the estimation process is an example of the "estimation method" related to the technology of the present disclosure. First, in step ST10, the estimation unit 54 acquires the learning model 60 stored in the estimation device 50.

[0081] Next, in step ST12, the estimation unit 54 acquires the first input data 56 and the second input data 58 from the unknown tire 12 that is the estimation target.

[0082] Next, in step ST14, the estimation unit 54 uses the learning model 60 acquired in step ST10 to estimate the output data 62 corresponding to the first input data 56 and the second input data 58 acquired in step ST12. Thus, the physical quantities related to the tire 12 corresponding to the electrical characteristics of the first strain detection body 22A and the electrical characteristics of the second strain detection body 22B are estimated.

[0083] Figure 6 The functional structure of the learning device 70 according to the present embodiment is shown. The learning device 70 is a device for causing the learning model 60 to learn. The learning device 70 can be implemented by the estimation device 50, or can be other devices other than the estimation device 50. In the case where the learning device 70 is other devices other than the estimation device 50, the learned learning model 60 that has been learned by the learning device 70 is provided from the learning device 70 to the estimation device 50.

[0084] The learning device 70 performs learning processing. The learning device 70 includes a learning unit 72. The learning processing is implemented by the learning unit 72.

[0085] The learning model 60 is generated by the learning processing. The learning model 60 is generated based on learning data 74 (i.e., training data) obtained from the tire 12 traveling under various different conditions. The learning data 74 is a set of data that largely includes first input data 56 representing the electrical characteristics of the first strain detector 22A, second input data 58 representing the electrical characteristics of the second strain detector 22B, and output data 62 representing the physical quantity related to the tire 12.

[0086] Figure 7 The manner of the learning processing according to the present embodiment is shown. The learning unit 72 largely holds, as learning data 74, a set of first input data 56 representing the electrical characteristics of the first strain detector 22A, second input data 58 representing the electrical characteristics of the second strain detector 22B, and output data 62 representing the physical quantity related to the tire 12.

[0087] The learning unit 72 includes a generator 76 and an arithmetic unit 78. The generator 76 includes an input layer 76A, an intermediate layer 76B, and an output layer 76C, and constitutes a known recurrent neural network, for example, a recurrent neural network (RNN: Recurrent Neural Network).

[0088] Since the recurrent neural network itself is a known technique, a detailed description thereof is omitted. However, the intermediate layer 76B includes a large number of node groups (i.e., neuron groups) having inter-node coupling and feedback coupling. The data from the input layer 76A is input to the intermediate layer 76B, and the data representing the operation result of the intermediate layer 76B is output to the output layer 76C.

[0089] Specifically, the generator 76 is a neural network that generates generated output data 64 representing the physical quantity related to the tire 12 based on the input first input data 56 and second input data 58. The generated output data 64 is data obtained by estimating the physical quantity related to the tire 12 based on the first input data 56 and the second input data 58.

[0090] The generator 76 generates generated output data 64 representing the physical quantity related to the tire 12 based on the first input data 56 and the second input data 58. By using a large amount of the first input data 56 and the second input data 58 for learning, the generator 76 can generate generated output data 64 close to the measured value of the physical quantity related to the tire 12.

[0091] The arithmetic unit 78 is an arithmetic unit 78 that compares the generated output data 64 with the output data 62 and calculates the error of the comparison result. The generated output data 64 and the output data 62 are input to the arithmetic unit 78. The arithmetic unit 78 calculates the error between the generated output data 64 and the output data 62, and outputs data representing the calculation result.

[0092] The learning unit 72 causes the generator 76 to learn and adjust the weight parameters of the coupling between nodes based on the error calculated by the arithmetic unit 78. Specifically, the arithmetic unit 78 uses methods such as the gradient descent method and the error backpropagation method to feedback the weight parameters of the coupling between nodes between the input layer 76A and the intermediate layer 76B in the generator 76, the weight parameters of the coupling between nodes within the intermediate layer 76B, and the weight parameters of the coupling between nodes between the intermediate layer 76B and the output layer 76C to the generator 76, respectively.

[0093] Thereby, with the output data 62 of the learning data 74 as the target, all the couplings between nodes are optimized in such a way that the error between the generated output data 64 and the output data 62 is minimized. The learning model 60 is represented as a set of information on the weight parameters (i.e., weights or strengths) of the couplings between nodes as the learning result of the learning unit 72.

[0094] In addition, in Figure 7 the example shown, a recurrent neural network is used, but the technology of the present disclosure is not limited to using a recurrent neural network, and other methods can also be used.

[0095] Figure 8 The flow of the learning process according to the present embodiment is shown in. The learning method implemented through the learning process is an example of the "learning method" related to the technology of the present disclosure. First, in step ST20, the learning unit 72 acquires the first input data 56, the second input data 58, and the output data 62 as the learning data 74.

[0096] Next, in step ST22, the learning unit 72 generates the learning model 60 using the learning data 74. That is, a set of information on the weight parameters of the couplings between nodes as the learning result of learning using a large amount of learning data 74 as described above is obtained.

[0097] Next, in step ST24, the learning unit 72 stores the data representing a set of information on the weight parameters (i.e., weights or strengths) of the couplings between nodes as the learning result as the learning model 60 in the learning device 70.

[0098] Figure 9The hardware structure of the estimation device 50 according to this embodiment is shown. The estimation device 50 includes a computer 80. The computer 80 includes a CPU 82, a RAM 84, a ROM 86, an auxiliary storage device 88, and an input / output I / F (Interface) 90. The auxiliary storage device 88 is constituted by, for example, a hard disk device or the like. The CPU 82 constitutes a processor, and the RAM 84 and the ROM 86 constitute a memory.

[0099] The control unit is constituted by the CPU 82, the RAM 84, the ROM 86, the auxiliary storage device 88, and the input / output I / F 90. The control unit can be constituted as a sub-control unit that controls a part of the operations of the estimation device 50, or can be constituted as a part of the main control unit that controls the overall operations of the estimation device 50.

[0100] For a part or all of the respective modules of the control unit, for example, integrated circuits such as LSI (Large Scale Integration) or IC (Integrated Circuit) chip sets can be used. In addition, for each of the above-mentioned modules, a separate circuit can be used, or a circuit obtained by integrating a part or all of them can be used. In addition, the above-mentioned modules can be provided integrally with each other, or some of the modules can be provided separately. In addition, a part of each of the above-mentioned modules can also be provided separately. The integration of the control unit is not limited to LSI, and a dedicated circuit or a general-purpose processor can also be used.

[0101] The CPU 82, the RAM 84, the ROM 86, the auxiliary storage device 88, and the input / output I / F 90 are connected via a bus 92 so as to be able to transfer data and commands to each other. In addition, the estimation device 50 includes a communication I / F 94 and an operation display unit 96. The communication I / F 94 and the operation display unit 96 are connected to the input / output I / F 90. The operation display unit 96 includes, for example, a display, a keyboard, a mouse, or a touch panel display.

[0102] The communication I / F 94 functions as an input / output unit for inputting and outputting at least one of the first input data 56, the second input data 58, and the output data 62 to and from an external device (not shown). In addition, when the learning device 70 is a device other than the estimation device 50, the communication I / F 94 functions as an input / output unit for inputting and outputting the learning model 60 to and from the learning device 70.

[0103] The control program 98 is stored in the auxiliary storage device 88. The control program 98 is an example of the "program" related to the technology of the present disclosure. The CPU 82 reads the control program 98 from the auxiliary storage device 88 and expands it in the RAM 84 to execute various processes. The learning model 60 and various data 100 are stored in the auxiliary storage device 88.

[0104] In the estimation device 50, the CPU 82 functions as the estimation unit 54 (refer to Figure 4 ) by executing the control program 98. In addition, when the estimation device 50 also serves as the learning device 70, the CPU 82 functions as the learning unit 72 (refer to Figure 6 ) by executing the control program 98.

[0105] In addition, when the learning device 70 (refer to Figure 6 ) is a device other than the estimation device 50, the learning device 70 is implemented, for example, by the same hardware structure as the estimation device 50.

[0106] Next, the effects of the present embodiment will be described.

[0107] The tire 12 according to the present embodiment includes at least the conductive rubber 16, and the conductive rubber 16 has a contact portion 42 provided at a position in contact with the rim 14. Thus, for example, by electrically connecting the contact portion 42 to the output device 52, the strain detected by the conductive rubber 16 can be output to the outside through the output device 52. That is, a detection signal corresponding to the strain of the tire 12 can be output from the output device 52.

[0108] In addition, the rim 14 has a conductive portion 44 in contact with the contact portion 42. Thus, for example, even if the contact portion 42 is not directly connected to the output device 52, the conductive rubber 16 can be electrically connected to the output device 52 by connecting the conductive portion 44 to the output device 52.

[0109] In addition, the contact portion 42 is provided in the bead portion 30, and the conductive portion 44 is provided in the bead seat portion 34. Thus, by mounting the tire 12 on the rim 14, the contact portion 42 can be brought into contact with the conductive portion 44. Accordingly, compared with the case where a connection operation of electrically connecting the conductive rubber 16 to the output device 52 is required in addition to mounting the tire 12 on the rim 14, the assembly operation of the tire-rim assembly 10 can be simplified.

[0110] In addition, since the contact portion 42 is provided in the bead portion 30, for example, in a state where the tire 12 is mounted on the rim 14, the contact portion 42 can be pressed against the bead seat portion 34. Thereby, the contact resistance between the contact portion 42 and the conductive portion 44 can be reduced.

[0111] In addition, as an example of multiple structural parts, the tire 12 includes a tread surface 24, a tread shoulder 26, a sidewall 28, and a bead portion 30, and the conductive rubber 16 is provided over the tread surface 24, the tread shoulder 26, the sidewall 28, and the bead portion 30. Therefore, it is possible to detect the strain in the regions over the tread surface 24, the tread shoulder 26, the sidewall 28, and the bead portion 30.

[0112] In addition, since the conductive rubber 16 is provided over the tread surface 24, the tread shoulder 26, the sidewall 28, and the bead portion 30, for example, compared with the case where the conductive rubber 16 is provided only in one structural part among the tread surface 24, the tread shoulder 26, the sidewall 28, and the bead portion 30, it is possible to detect the strain in a larger area.

[0113] In addition, the conductive rubber 16 has an axial portion 38 and a radial portion 40, and the axial portion 38 and the radial portion 40 are provided on the inner surface 12A of the tire 12. Therefore, it is possible to prevent the axial portion 38 and the radial portion 40 from coming into contact with an object outside the tire 12. In addition, for example, compared with the case where the conductive rubber 16 is provided inside the rubber material of the tire 12 (that is, the case where the conductive rubber 16 is embedded in the rubber material), the tire 12 can be manufactured more easily.

[0114] In addition, a liner layer 32 is provided on the inner surface 12A of the tire 12, and the axial portion 38 and the circumferential portion 46 are provided on the liner layer 32. Therefore, for example, the conductive rubber 16 can be mounted on the tire 12 by integrally forming the conductive rubber 16 on the liner layer 32 or pasting the conductive rubber 16 to the liner layer 32.

[0115] In addition, the conductive rubber 16 has an axial portion 38 extending in the axial direction of the tire 12. Therefore, it is possible to output a detection signal corresponding to the strain in the axial direction of the tire 12 from the output device 52.

[0116] In addition, the conductive rubber 16 has a radial portion 40 extending in the radial direction of the tire 12. Therefore, it is possible to output a detection signal corresponding to the strain in the radial direction of the tire 12 from the output device 52.

[0117] In addition, the conductive rubber 16 is formed in a sheet shape. Therefore, it is possible to output a detection signal corresponding to the strain in the direction in which the conductive rubber 16 extends from the output device 52.

[0118] In addition, the tire 12 includes a plurality of conductive rubbers 16. Therefore, it is possible to output a detection signal corresponding to the strain detected in the plurality of regions corresponding to the plurality of conductive rubbers 16 from the output device 52.

[0119] In addition, a pair of first conductive rubbers 16A among the plurality of conductive rubbers 16 are arranged separately from each other in the axial direction of the tire 12, and the pair of first conductive rubbers 16A are electrically connected by a first connection member 20A. Therefore, even if the pair of first conductive rubbers 16A are arranged separately from each other in the axial direction of the tire 12, the first strain detection body 22A can be formed by the pair of first conductive rubbers 16A and the first connection member 20A.

[0120] In addition, by forming the first strain detection body 22A, a first detection signal corresponding to the strain detected in the region corresponding to the pair of first conductive rubbers 16A (i.e., the regions separated from each other in the axial direction of the tire 12) can be output from the output device 52.

[0121] In addition, a pair of second conductive rubbers 16B among the plurality of conductive rubbers 16 are arranged separately from each other in the axial direction and the circumferential direction of the tire 12, and the pair of second conductive rubbers 16B are electrically connected by a second connection member 20B. Therefore, even if the pair of second conductive rubbers 16B are arranged separately from each other in the axial direction and the circumferential direction of the tire 12, the second strain detection body 22B can be formed by the pair of second conductive rubbers 16B and the second connection member 20B.

[0122] In addition, by forming the second strain detection body 22B, a second detection signal corresponding to the strain detected in the region corresponding to the pair of second conductive rubbers 16B (i.e., the regions separated from each other in the axial direction and the circumferential direction of the tire 12) can be output from the output device 52.

[0123] In addition, the estimation device 50 includes an estimation unit 54. The estimation unit 54 uses the electrical characteristics of the conductive rubber 16 provided in the tire 12 and the physical quantities related to the tire 12 as learning data 74. Moreover, the estimation unit 54 inputs the electrical characteristics obtained from the tire 12 to be estimated into the learning model 60 that is learned to output the physical quantities related to the tire 12 when the electrical characteristics of the conductive rubber 16 are input, and estimates the physical quantities related to the tire 12. Therefore, even if the physical quantities related to the tire 12 to be estimated are not directly measured, the physical quantities related to the tire 12 can be estimated.

[0124] In addition, the estimation unit 54 estimates the physical quantities related to the tire 12 based on the resistance of the conductive rubber 16, which is an example of the electrical characteristics of the conductive rubber 16. Therefore, by using the resistance that has a correlation with the physical quantities related to the tire 12, for example, compared with the case of using input values that have no correlation with the physical quantities related to the tire 12, the physical quantities related to the tire 12 can be estimated with high accuracy.

[0125] In addition, an estimation unit 54 estimates a slip angle, a camber angle, a rotational speed, a load, and a lateral force of the tire 12 as an example of physical quantities related to the tire 12. Therefore, even if the slip angle, the camber angle, the rotational speed, the load, and the lateral force of the tire 12 are not directly measured, the slip angle, the camber angle, the rotational speed, the load, and the lateral force can be estimated.

[0126] Next, a modification of the present embodiment will be described.

[0127] Figures 10 to 13 The first to fourth modification examples related to the strain detection body 22 are shown. As Figure 10 and Figure 11 shown, a pair of conductive rubbers 16 included in the strain detection body 22 may also be separated in the circumferential direction of the tire 12.

[0128] In addition, as Figure 10 shown, a connecting member 20 may also be provided between the pair of conductive rubbers 16 to connect the ends on the equatorial plane 18 side of the pair of conductive rubbers 16 to each other. As Figure 11 shown, the connecting member 20 may also be provided circumferentially around the tire 12 without passing between the pair of conductive rubbers 16 to connect the ends on the equatorial plane 18 side of the pair of conductive rubbers 16 to each other.

[0129] In addition, as Figure 12 and Figure 13 shown, the strain detection body 22 may also include a plurality of connecting members 20. The plurality of connecting members 20 may also include a plurality of connecting members 21A that extend in the circumferential direction of the tire 12 and connect the pair of conductive rubbers 16, and a connecting member 21B that extends in the axial direction of the tire 12 and connects the plurality of connecting members 21A.

[0130] In addition, as Figure 13 shown, one of the pair of conductive rubbers 16 included in the strain detection body 22 may also have a structure in which an axial portion 38 (see Figure 2 ) is omitted.

[0131] Figure 14 The fifth modification example related to the strain detection body 22 is shown. As Figure 14 shown, the conductive rubber 16 may also have a circumferential portion 46 that extends in the circumferential direction of the tire 12. The circumferential portion 46 may be formed in any part of the conductive rubber 16. In addition, the connecting member 20 may also connect the circumferential portions 46 to each other. When the conductive rubber 16 has the circumferential portion 46 in this way, a detection signal corresponding to the strain in the circumferential direction of the tire 12 can be output from the output device 52.

[0132] Figure 15 The sixth modification example related to the strain detection body 22 is shown. As Figure 15As shown, the strain detection body 22 may also have a conductive rubber 16 formed in a ring shape along the circumferential direction of the tire 12. By forming the conductive rubber 16 in a ring shape along the circumferential direction like this, it is also possible to output a detection signal corresponding to the strain in the circumferential direction of the tire 12 from the output device 52.

[0133] In addition, as Figure 15 shown, the rim 14 may also have a plurality of conductive portions 44. The number of the plurality of conductive portions 44 may be arbitrary. The plurality of conductive portions 44 may also be arranged separately in at least one direction among the axial direction and the circumferential direction of the tire 12. Each conductive portion 44 is electrically connected to the conductive rubber 16 and the output device 52.

[0134] In the sixth modification, the plurality of conductive portions 44 include a pair of first conductive portions 44A arranged separately from each other in the axial direction of the tire 12 and a pair of second conductive portions 44B arranged separately from each other in the axial direction of the tire 12. The pair of first conductive portions 44A are arranged separately from the pair of second conductive portions 44B in the circumferential direction of the tire 12.

[0135] The output device 52 outputs a first detection signal corresponding to the electrical characteristics of the region between the pair of first conductive portions 44A in the tire 12 and a second detection signal corresponding to the electrical characteristics of the region between the pair of second conductive portions 44B in the tire 12. When the rim 14 has When there are multiple conductive parts 44, in this way with respect to one conductive rubber 16, it is possible to detect the strain in the region between the conductive portions 44 in the tire 12.

[0136] In addition, in the above-described embodiment, the conductive rubber 16 is provided over the tread portion 24, the shoulder portion 26, the sidewall portion 28, and the bead portion 30, but the conductive rubber 16 may not be provided in any of the structural portions of the tread portion 24, the shoulder portion 26, the sidewall portion 28, and the bead portion 30. Alternatively, the tire 12 may have other structural portions in addition to the tread portion 24, the shoulder portion 26, the sidewall portion 28, and the bead portion 30, and at least a part of the conductive rubber 16 may be provided in the other structural portions.

[0137] In addition, the conductive rubber 16 may be provided only in one of the structural portions of the tread portion 24, the shoulder portion 26, the sidewall portion 28, and the bead portion 30. Alternatively, the tire 12 may have other structural portions in addition to the tread portion 24, the shoulder portion 26, the sidewall portion 28, and the bead portion 30, and the conductive rubber 16 may be provided only in the other structural portions. When the conductive rubber 16 is provided only in one structural portion like this, the structure of the tire 12 can be simplified compared to the case where the conductive rubber 16 is provided over a plurality of structural portions.

[0138] Furthermore, in the above-described embodiment, the contact portion 42 is provided at the bead portion 30 , but may be provided at a position other than the bead portion 30 as long as it is a position in contact with the rim 14 .

[0139] In the above embodiment, the axial portion 38 and the radial portion 40 of the conductive rubber 16 are provided on the inner surface 12A of the tire 12, but the conductive rubber 16 may have a portion provided on the inner surface 12A of the tire 12 in addition to the axial portion 38 and the radial portion 40. The portion of the conductive rubber 16 provided on the inner surface 12A of the tire 12 may be in any form. In addition, the entire conductive rubber 16 may be provided on the inner surface 12A of the tire 12.

[0140] In the above embodiment, the axial portion 38 and the radial portion 40 of the conductive rubber 16 are provided in the inner lining layer 32, but the conductive rubber 16 may have a portion provided in the inner lining layer 32 in addition to the axial portion 38 and the radial portion 40. The portion of the conductive rubber 16 provided in the inner lining layer 32 may be in any form. In addition, the entire conductive rubber 16 may be provided in the inner lining layer 32.

[0141] The conductive rubber 16 may have only the axial portion 38, only the radial portion 40, or only the circumferential portion 46. The conductive rubber 16 may have at least one of the axial portion 38, the radial portion 40, and the circumferential portion 46. The conductive rubber 16 may have a portion other than the axial portion 38, the radial portion 40, and the circumferential portion 46.

[0142] Furthermore, the shapes of the plurality of conductive rubber members 16 included in the tire 12 may be the same as or different from each other.

[0143] In the above embodiment, the conductive rubber 16 is formed in a sheet shape, but may be formed in a shape other than the sheet shape, such as a block shape, a rib shape, a convex shape, or a rail shape.

[0144] In addition, the tire 12 may include a plurality of conductive rubbers 16 or may include only one conductive rubber 16 .

[0145] Furthermore, when the tire 12 includes a plurality of conductive rubbers 16 , the plurality of conductive rubbers 16 may be disposed so as to be separated from each other in at least one of the axial direction and the circumferential direction of the tire 12 .

[0146] In addition, the structure of the conductive rubber 16 included in the strain detection body 22 may be a structure other than the above. In addition, the structure of the strain detection body 22 may be a structure other than the above.

[0147] In the above embodiment, the conductive portion 44 is formed in a sheet shape when it is composed of a member other than the rim 14 , but it may be formed in a shape other than the sheet shape, such as a block shape, a rib shape, a projection shape, or a rail shape.

[0148] Furthermore, the conductive portion 44 is provided on the bead seat portion 34 , but may be provided at a position other than the bead seat portion 34 as long as it is a position in contact with the contact portion 42 .

[0149] Figure 16 , a seventh modification example related to the tire-rim assembly 10 is shown. In the seventh modification example, the conductive portion 44 is provided throughout the bead seat portion 34 and the flange portion 36. In addition, the conductive portion 44 is electrically connected to the estimation device 50 via a slip ring 102 (Slip Ring). The estimation device 50 has an electrical circuit (not shown) that outputs a detection signal corresponding to the electrical characteristics of the strain detection body 22. With such a configuration, the estimation device 50 can also estimate the physical quantity related to the tire 12 based on the electrical characteristics of the strain detection body 22.

[0150] Figure 17 2 shows an eighth modification example of the tire-rim assembly 10. In the eighth modification example, the conductive rubber 16 is formed in an annular shape along the circumferential direction of the tire 12 as an example.

[0151] The tire 12 has a plurality of connection parts 104. The connection parts 104 are fixed to the conductive rubber 16. The connection parts 104 may be an adhesive material having conductivity, an adhesive member having conductivity and adhesiveness, or an electrode having conductivity. The connection parts 104 are electrically connected to the conductive rubber 16. The number of the plurality of connection parts 104 may be arbitrary. The plurality of connection parts 104 may also be arranged separately in at least one direction of the axial direction and the circumferential direction of the tire 12. Each connection part 104 is electrically connected to the output device 52, for example, via the wiring 106.

[0152] In the eighth modification, the plurality of connection portions 104 include a pair of first connection portions 104A disposed separately from each other in the axial direction of the tire 12 and a pair of second connection portions 104B disposed separately from each other in the axial direction of the tire 12. The pair of first connection portions 104A are disposed separately from the pair of second connection portions 104B in the circumferential direction of the tire 12. In addition, the interval between the pair of first connection portions 104A is set wider than the interval between the pair of second connection portions 104B. Each connection portion 104 can be provided at any position of the tire 12.

[0153] The output device 52 outputs a first detection signal corresponding to the electrical characteristics of the region between a pair of first connection portions 104A in the tire 12, and a second detection signal corresponding to the electrical characteristics of the region between a pair of second connection portions 104B in the tire 12. Even when the rim 14 has a plurality of connection portions 104 with respect to one conductive rubber 16 in this way, it is possible to detect the strain in the region between the connection portions 104 in the tire 12.

[0154] Figure 18 A ninth modification related to the tire-rim assembly 10 is shown. The ninth modification is a modification of the eighth modification. In the ninth modification, the wiring 106 is led out from between the bead portion 30 and the bead seat portion 34 to the outside of the tire 12 and connected to the slip ring 102. The connection portion 104 is electrically connected to the estimation device 50 via the wiring 106 and the slip ring 102. Even with such a configuration, it is possible for the estimation device 50 to estimate a physical quantity related to the tire 12 based on the electrical characteristics of the strain detection body 22.

[0155] The techniques that can be combined among the above-described multiple techniques can also be appropriately combined and implemented.

[0156] Next, an example of the present embodiment will be described.

[0157] As an example, this embodiment is implemented using Figure 17 the estimation system S shown. In this embodiment, learning data 74 obtained when the tire 12 is traveling on a flat belt is used to cause the learning model 60 to learn. In addition, while the tire 12 to be estimated is traveling on a flat belt, a physical quantity related to the tire 12 is estimated based on the electrical characteristics of the strain detection body 22 obtained from the tire 12 using the learned learning model 60.

[0158] The number of strain detection bodies 22 is two, and the electrical characteristics of the strain detection bodies 22 input to the estimation device 50 are the resistance of the strain detection bodies 22. In addition, the physical quantities related to the tire 12 output from the estimation device 50 are the slip angle, camber angle, rotational speed, load, and lateral force.

[0159] The driving conditions are as follows. That is, the driving speed of the tire 12 is set to 10 km / h, 30 km / h, and 60 km / h, and the load on the tire 12 is set to 3000 N, 5000 N, and 7000 N. In addition, the slip angle of the tire 12 is set to 0°, 3°, and 5° to cause the tire 12 to perform slalom driving.

[0160] Figure 19 The estimation results of this embodiment are shown. The curve G1 shown by a thick line represents the estimated value, and the curve G2 shown by a thin line represents the measured value. As Figure 19As shown in the estimated results, in this embodiment, an estimated value corresponding to the measured value was obtained.

[0161] As Figure 20 shown, the tire 12 according to this embodiment may include an RF tag 200 as a communication device. The RF tag 200 includes an IC chip and an antenna. The RF tag 200 can be arranged, for example, at a position between multiple members of the same or different types that make up the tire. By doing so, it is easy to install the RF tag 200 during tire production, and the productivity of the tire equipped with the RF tag 200 can be improved. In this example, the RF tag 200 can be arranged, for example, at a position between the bead filler and other members adjacent to the bead filler.

[0162] The RF tag 200 can also be embedded in any member that makes up the tire. By doing so, compared with the case of being arranged at a position between multiple members that make up the tire, the load applied to the RF tag 200 can be reduced. Thereby, the durability of the RF tag 200 can be improved. In this example, the RF tag 200 can be embedded in rubber members such as tread rubber and sidewall rubber, for example.

[0163] The RF tag 200 is preferably not arranged at a position that is the boundary of members with different rigidities in the circumferential length direction along the outer surface of the tire in the cross-sectional view in the tire width direction. By doing so, the RF tag 200 is not arranged at a position where strain is likely to concentrate due to the difference in rigidity. Therefore, the load applied to the RF tag 200 can be reduced. Thereby, the durability of the RF tag 200 can be improved. In this example, the RF tag 200 is preferably not arranged at a position that is the boundary of, for example, the end of the carcass and the member adjacent to the end of the carcass (such as sidewall rubber, etc.) in the cross-sectional view in the tire width direction.

[0164] The number of RF tags 200 is not particularly limited. The tire may include only one RF tag 200 or may include two or more RF tags 200. Here, as an example of a communication device, the RF tag 200 is illustrated, but it can also be a communication device different from the RF tag 200.

[0165] The above describes this embodiment, but the technology of the present disclosure is not limited to the above content, and of course, various modifications other than the above can also be implemented without departing from its gist.

[0166] All documents, patent applications, and technical standards described in this specification are incorporated herein by reference to the same extent as if each document, patent application, and technical standard were specifically and individually described as being incorporated herein by reference. Additionally, the entire disclosure of Japanese Application No. 2022-185257 filed on November 18, 2022 is incorporated herein by reference.

[0167] Next, regarding this embodiment, the following remarks are disclosed.

[0168] (Remark 1)

[0169] A tire includes at least conductive rubber,

[0170] The conductive rubber has a contact portion provided at a position in contact with the rim.

[0171] (Remark 2)

[0172] The tire according to Remark 1, wherein,

[0173] The contact portion is provided at the bead portion.

[0174] (Remark 3)

[0175] The tire according to Remark 1 or Remark 2, wherein,

[0176] The tire includes a plurality of structural parts,

[0177] The conductive rubber is provided in at least one of the plurality of structural parts.

[0178] (Remark 4)

[0179] The tire according to Remark 3, wherein,

[0180] The plurality of structural parts include a tread portion, a shoulder portion, a sidewall portion, and a bead portion.

[0181] (Remark 5)

[0182] The tire according to Remark 3 or Remark 4, wherein,

[0183] The conductive rubber is provided over a plurality of the plurality of structural parts.

[0184] (Remark 6)

[0185] The tire according to Remark 3 or Remark 4, wherein,

[0186] The conductive rubber is provided in one of the plurality of structural parts.

[0187] (Remark 7)

[0188] The tire according to any one of Appendices 1 to 6, wherein

[0189] At least a part of the conductive rubber is provided on the inner surface of the tire.

[0190] (Appendix 8)

[0191] The tire according to any one of Appendices 1 to 6, wherein a liner layer is provided on the inner surface of the tire,

[0192] At least a part of the conductive rubber is provided on the liner layer.

[0193] (Appendix 9)

[0194] The tire according to any one of Appendices 1 to 8, wherein the conductive rubber has an axial portion extending along the axial direction of the tire.

[0195] (Appendix 10)

[0196] The tire according to any one of Appendices 1 to 9, wherein the conductive rubber has a radial portion extending along the radial direction of the tire.

[0197] (Appendix 11)

[0198] The tire according to any one of Appendices 1 to 10, wherein the conductive rubber has a circumferential portion extending along the circumferential direction of the tire.

[0199] (Appendix 12)

[0200] The tire according to any one of Appendices 1 to 11, wherein the conductive rubber is formed in a ring shape along the circumferential direction of the tire.

[0201] (Appendix 13)

[0202] The tire according to any one of Appendices 1 to 12, wherein the conductive rubber is formed in a sheet shape.

[0203] (Appendix 14)

[0204] The tire according to any one of Appendices 1 to 13, wherein a plurality of the conductive rubbers are provided.

[0205] (Appendix 15)

[0206] The tire according to Appendix 14, wherein

[0207] A connecting member for electrically connecting the plurality of conductive rubbers is further provided.

[0208] (Appendix 16)

[0209] The tire according to Note 14 or Note 15, wherein,

[0210] The plurality of conductive rubbers are arranged separately from each other in at least one of the axial direction and the circumferential direction of the tire.

[0211] (Note 17)

[0212] The tire according to any one of Notes 1 to 16, wherein,

[0213] It further includes a plurality of connecting portions for connecting the wiring to the conductive rubber.

[0214] (Note 18)

[0215] The tire according to Note 17, wherein,

[0216] The plurality of connecting portions are arranged separately in at least one of the axial direction and the circumferential direction of the tire.

[0217] (Note 19)

[0218] A tire - rim assembly, comprising:

[0219] The tire according to claim 1; and

[0220] The rim.

[0221] (Note 20)

[0222] The tire - rim assembly according to Note 19, wherein,

[0223] The rim has a conductive portion that contacts the contact portion.

[0224] (Note 21)

[0225] The tire - rim assembly according to Note 20, wherein,

[0226] The contact portion is provided at the bead portion,

[0227] The conductive portion is provided at the bead seat portion.

[0228] (Note 22)

[0229] The tire - rim assembly according to any one of Notes 19 to 21, wherein,

[0230] It further includes an output device electrically connected to the conductive rubber.

Claims

1. An estimation device includes an estimation unit that, for a learning model that learns the electrical characteristics of the conductive rubber provided in a tire and physical quantities related to the tire as learning data to output the physical quantities when the electrical characteristics are input, inputs the electrical characteristics obtained from a target tire to be estimated, and estimates the physical quantities related to the target tire.

2. The estimation device according to claim 1, wherein The electrical characteristics include the resistance of the conductive rubber.

3. The estimation device according to claim 1 or 2, wherein The physical quantity is a physical quantity related to the running of the tire.

4. The estimation device according to any one of claims 1 to 3, wherein The physical quantity includes the slip angle of the tire.

5. The estimation device according to any one of claims 1 to 4, wherein The physical quantity includes the camber angle of the tire.

6. The estimation device according to any one of claims 1 to 5, wherein The physical quantity includes the load applied to the tire.

7. The estimation device according to any one of claims 1 to 6, wherein The physical quantity includes the lateral force acting on the tire.

8. The estimation device according to any one of claims 1 to 7, wherein The conductive rubber has a contact portion provided at a position in contact with the rim.

9. The estimation device according to claim 8, wherein The contact portion is provided at the bead portion.

10. The estimation device according to claim 8 or 9, wherein The rim has a conductive portion in contact with the contact portion.

11. The estimation device according to claim 10, wherein The conductive portion is provided at the bead seat portion.

12. An estimation method includes: For a learning model that learns the electrical characteristics of the conductive rubber provided in the tire and the physical quantities related to the tire as learning data to be input with the electrical characteristics and output the physical quantities, the electrical characteristics obtained from the target tire as the estimation target are input to estimate the physical quantities related to the target tire.

13. A program causes a computer to execute a process that includes: For a learning model that learns the electrical characteristics of the conductive rubber provided in the tire and the physical quantities related to the tire as learning data to be input with the electrical characteristics and output the physical quantities, the electrical characteristics obtained from the target tire as the estimation target are input to estimate the physical quantities related to the target tire.

14. A learning device includes a learning unit that generates a learning model that learns the electrical characteristics of the conductive rubber provided in a tire and physical quantities related to the tire as learning data to output the physical quantities when the electrical characteristics are input.

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