WO2023276924A1

WO2023276924A1 - System for estimating tire state quantity, program for estimating tire state quantity, and method for estimating tire state quantity

Info

Publication number: WO2023276924A1
Application number: PCT/JP2022/025492
Authority: WO
Inventors: 洋光市川
Original assignee: 株式会社ブリヂストン
Priority date: 2021-07-01
Filing date: 2022-06-27
Publication date: 2023-01-05
Also published as: JP2023007118A

Abstract

The present invention provides a system comprising: a vehicle information acquisition unit 101 that acquires first raw information d1 regarding a vehicle V; a tire information acquisition unit SU which is mounted on a tire 10 and which acquires second raw information regarding the tire; a first data computation unit 102 that computes, in advance on the basis of a portion of the first raw information and the second raw information, first data D1 to be used for estimating a state quantity of the tire; a transmission unit 103 that transmits, to an external device CL1, second data D2 formed of information which is of the first raw information and second raw information and was not used in the computational processing by the first data computation unit and the first data; a third data computation unit 302 that computes, on the basis of the received second data, third data D3 to be used for estimating the state quantity of the tire; and a tire state quantity estimation unit 303 that estimates the state quantity of the tire on the basis of the received first data and the third data.

Description

Tire state quantity estimation system, tire state quantity estimation program, and tire state quantity estimation method

The present invention relates to a tire state quantity estimation system, a tire state quantity estimation program, and a tire state quantity estimation method applicable to a vehicle.

In general, as vehicle tires wear out, the braking distance becomes longer and safety decreases.

Therefore, various technologies have been proposed in the past to contribute to ensuring safety by estimating tire state quantities including the degree of wear (Patent Documents 1 and 2).

By doing this, we are able to ascertain the state of the tires, ensure the safety of the vehicle, prevent tire failures, and operate the vehicle efficiently.

Japanese Patent Application Laid-Open No. 2009-19950 JP 2020-164127 A

Here, in Patent Document 1, wear is estimated by a device mounted on a vehicle. However, with the technique disclosed in Patent Document 1, when changing the estimation algorithm, it is necessary to update the software on the vehicle side, etc., and there is an inconvenience that immediate response is difficult.

On the other hand, Patent Document 2 discloses a technology for estimating wear of tires outside the vehicle by transmitting data related to tires, etc. acquired by a sensor to external software via a wireless line. This technique has the advantage that the algorithm can be updated relatively easily.

However, sending a large amount of data, including all sensor output values, to the outside caused an increase in communication volume and cost.

Therefore, the present invention has been made in view of the above problems, and a tire state quantity estimation system capable of suppressing the amount of data communication while ensuring the accuracy of estimating the tire state quantity including the degree of wear. , to provide a tire state quantity estimation program and a tire state quantity estimation method.

A tire state quantity estimation system according to an aspect of the present invention is provided in a vehicle, and includes a vehicle information acquisition unit that acquires first raw information related to the vehicle; a tire information acquisition unit that acquires raw information; and a first tire information acquisition unit that preliminarily calculates first data used for estimating the state quantity of the tire based on a part of the acquired first raw information and the second raw information. a data calculation unit, second data composed of information not used for calculation processing in the first data calculation unit out of the first raw information and the second raw information, and the first data to an external device a transmitting unit for transmitting; a receiving unit in the external device for receiving the first data and the second data; and a state quantity of the tire in the external device based on the received second data. estimating the state quantity of the tire based on the received first data and the calculated third data in the third data calculation unit that calculates the third data used for estimating the and a tire state quantity estimator.

It should be noted that in the tire state quantity estimation system according to this aspect, wheels can be included in the tires as targets for which the tire information acquisition unit acquires the first raw information.

As a result, part of the process of estimating the tire state quantity is performed on the vehicle side using part of the raw data obtained by the vehicle information acquisition unit and the tire information acquisition unit, and only the other raw data is sent to the external device side. Part of the process of transmitting and estimating the state quantity of the tire can be performed on the external device side. Therefore, compared with the case where all the raw data acquired by the vehicle information acquisition unit and the tire information acquisition unit are transmitted to an external device, the amount of data communication can be suppressed, and the tire state quantity including the degree of wear can be estimated. Cost can be reduced while ensuring accuracy.

Further, part of the first raw information and the second raw information used in the calculation process in the first data calculation unit has a predetermined frequency component of the signal included in the first raw information and the second raw information. It can be information containing variables less than or equal to a value.

As a result, it is possible to realize a tire state quantity estimation system that can reduce the amount of data communication while ensuring the accuracy of estimating tire state quantities, including the degree of wear.

Further, the information including variables whose frequency component of the signal is equal to or less than a predetermined value can include information on vehicle acceleration acquired by the vehicle information acquisition unit.

As a result, it is possible to easily realize a tire state quantity estimation system that can reduce the amount of data communication while ensuring the accuracy of estimating tire state quantities, including the degree of wear.

Also, the first data may include a time integrated value component of the vehicle acceleration information.

Also, the tire state quantity may include a tire wear amount or a tire remaining durability value.

As a result, it is possible to realize a tire state quantity estimation system capable of suppressing the amount of data communication while ensuring the accuracy of estimating the tire state quantity including the tire wear amount or remaining durability value of the tire.

Further, the tire wear amount is calculated by the following formula: wear amount (A) = Σ instantaneous wear amount (M)
Calculated by
The instantaneous wear amount (M) is calculated by the following formula: Instantaneous wear amount (M)=(Rolling amount p(t))+(Acceleration/deceleration amount q(t)×f(t))+(Lateral force amount r(t) )×g(t))
= number 1

≒ number 2

(where p(t): static tire load, q(t): coefficient due to acceleration/deceleration, r(t): coefficient due to lateral force, f(t): longitudinal acceleration, g(t): lateral acceleration)
You may make it calculate by .

As a result, it is possible to realize a tire state quantity estimation system capable of suppressing the amount of data communication while ensuring the accuracy of estimating the tire state quantity including the tire wear amount.

Further, a tire state quantity estimation program according to another aspect of the present invention includes a vehicle information acquisition step of acquiring first raw information about a vehicle, a tire information acquisition step of acquiring second raw information about tires of the vehicle, a first data calculation step of preliminarily calculating first data used for estimating the state quantity of the tire based on part of the acquired first raw information and second raw information; A transmission step of transmitting second data composed of information not used in the calculation process in the first data calculation step out of the second raw information and the first data to an external device; and in the external device, a receiving step of receiving the first data and the second data; and a third data calculation of calculating, in the external device, third data used for estimating the state quantity of the tire based on the received second data. and a tire state quantity estimating step of estimating the state quantity of the tire based on the received first data and the calculated third data in the external device, wherein the tire state quantity It is gist to be implemented in an estimation system.

As a result, part of the process of estimating the state quantity of the tire is performed on the vehicle side using part of the raw data obtained in the vehicle information obtaining step and the tire information obtaining step, and only the other raw data is sent to the external device side. A part of the process of transmitting and estimating the state quantity of the tire can be performed on the external device side. Therefore, compared with the case where all the raw data acquired in the vehicle information acquisition step and the tire information acquisition step are transmitted to an external device, the amount of data communication can be suppressed, and the tire state quantity including the degree of wear can be estimated. Cost can be reduced while ensuring accuracy.

Further, a tire state quantity estimation method according to another aspect of the present invention includes a vehicle information acquisition process of acquiring first raw information related to a vehicle, a tire information acquisition process of acquiring second raw information related to tires of the vehicle, a first data calculation step of pre-calculating first data used for estimating the state quantity of the tire based on part of the acquired first raw information and second raw information; A transmission step of transmitting second data composed of information not used in the calculation process in the first data calculation step among the second raw information and the first data to an external device, and in the external device, a receiving step of receiving the first data and the second data; and a third data calculation of calculating, in the external device, third data used for estimating the state quantity of the tire based on the received second data. and a tire state quantity estimation step of estimating the state quantity of the tire in the external device based on the received first data and the calculated third data. .

As a result, part of the process of estimating the tire state quantity is performed on the vehicle side using part of the raw data obtained in the vehicle information acquisition process and the tire information acquisition process, and only the other raw data is sent to the external device side. A part of the process of transmitting and estimating the state quantity of the tire can be performed on the external device side. Therefore, compared to the case where all the raw data acquired in the vehicle information acquisition process and the tire information acquisition process are transmitted to an external device, the amount of data communication can be suppressed, and the tire state quantity including the degree of wear can be estimated. Cost can be reduced while ensuring accuracy.

According to the present invention, a tire state quantity estimation system, a tire state quantity estimation program, and a tire state quantity estimation capable of suppressing the amount of data communication while ensuring the accuracy of estimating the tire state quantity including the degree of wear. can provide a method.

1 is a schematic configuration diagram showing a schematic configuration of a tire state quantity estimation system according to an embodiment; FIG. 1 is a functional block diagram showing the functional configuration of a tire state quantity estimation system according to an embodiment; FIG. FIG. 4 is an explanatory diagram showing an outline of processing of the tire state quantity estimation system according to the embodiment; 4 is a flowchart showing an example of a procedure of tire state quantity estimation processing executed by the tire state quantity estimation system according to the embodiment;

A tire state quantity estimation system S1 according to an embodiment of the present invention will be described with reference to FIGS.

In addition, in the description of the drawings below, the same or similar parts are given the same or similar reference numerals. However, it should be noted that the drawings are schematic, and the ratio of each dimension is different from the actual one.

Therefore, specific dimensions should be determined with reference to the following explanation. In addition, it goes without saying that there are portions with different dimensional relationships and ratios between the drawings.

(Schematic configuration of tire state quantity estimation system)
A schematic configuration of a tire state quantity estimation system S1 according to the embodiment will be described with reference to a schematic configuration diagram of FIG. 1 and a functional block diagram of FIG.

The tire state quantity estimation system S1 includes, as shown in FIG. and a cloud computing system CL1 as an external device.

(About the sensor unit)
The sensor unit SU mounted on the tire 10 will be described with reference to FIG.

FIG. 1 shows the cross-sectional shape of the tire 10 assembled to the rim wheel 90 along the tire width direction.

Further, the tread portion 20 is a portion that contacts the road surface when the tire 10 mounted on the vehicle V rolls on the road surface. A tread pattern is formed on the tread portion 20 according to the type of vehicle and required performance.

A sensor unit SU is provided on the inner surface 10a of the tire 10 to detect temperature information, internal pressure information, etc. of the tire 10 as the second raw information d2.

In the configuration example shown in FIG. 1, the sensor unit SU is provided on the inner surface 10a facing the tread portion 20. More specifically, the sensor unit SU is attached to the surface of an inner liner (not shown) that prevents gas such as air filled in the internal space of the pneumatic tire 10 assembled to the rim wheel 90 from leaking.

The sensor unit SU may be provided not only on the inner surface 10a facing the tread portion 20, but also on the inner surface of the tire 10 on the sidewall 30 side.

The sensor unit SU is preferably provided for each tire 10 mounted on the vehicle V. This is because it is desirable to monitor the wear condition of each tire 10 in order to ensure the safety of the vehicle.

Further, the sensor unit SU does not necessarily have to be attached to the inner surface of the tire 10. For example, a part or all of the sensor unit SU may be embedded inside the tire 10.

The second raw information d2 acquired by the sensor unit SU is transmitted to the processing device 200 via the wireless line N1.

(About processing equipment)
A configuration example of the processing device 200 mounted on the vehicle V will be described with reference to FIG.

The processing device 200 is composed of hardware such as a microcomputer, and programs and data that are stored so as to be executable by the microcomputer.

The processing device 200 includes a vehicle information acquisition unit 101 that acquires the first raw information d1 regarding the vehicle V. The first raw information d1 regarding the vehicle V includes vehicle speed information, longitudinal acceleration information, and the like.

In addition, the processing device 200 preliminarily calculates the first data D1 used for estimating the state quantity (amount of wear, etc.) of the tire 10 based on part of the acquired first raw information d1 and second raw information d2. A first data calculator 102 is provided.

In addition, the processing device 200 converts the first data D1 and the second data D2 composed of the information that is not used for the calculation process in the first data calculation unit 102 out of the first raw information d1 and the second raw information d2. A transmission unit 103 is provided for transmitting data to the cloud computing system CL1 as an external device via a wireless line (for example, mobile phone network, packet communication, Internet communication network, etc.) N2.

Note that part of the first raw information d1 and the second raw information d2 used in the calculation process in the first data calculation unit 102 has a predetermined frequency component of the signal included in the first raw information and the second raw information. It can be information containing variables less than or equal to a value.

Also, the information including variables whose frequency component of the signal is equal to or less than a predetermined value can include vehicle acceleration information obtained by the vehicle sensor 101 as the vehicle information obtaining unit.

A more specific calculation formula will be described later.

(Regarding external devices)
A configuration example of the cloud computing system CL1 as an external device will be described with reference to FIG.

Note that cloud computing here broadly includes computing resources provided via networks.

Also, part or all of the cloud computing system CL1 may incorporate edge computing, which is a distributed architecture.

Note that edge computing refers to the concept of distributed computing that performs data processing and analysis using devices such as IoT terminals and servers installed relatively nearby.

Here, the cloud computing system CL1 includes a receiving section 301 that receives the first data D1 and the second data D2 via the wireless line N2.

The cloud computing system CL1 also includes a third data calculator 302 that calculates the third data D3 used for estimating the state quantity of the tire 10 based on the received second data D2.

The cloud computing system CL1 also includes a tire state quantity estimation unit 303 that estimates state quantities such as the amount of wear of the tire 10 based on the received first data D1 and the calculated third data D3.

It should be noted that the first data D1 can include the time integrated value component of the vehicle acceleration information of the vehicle V. A more specific calculation formula and the like will be described later.

Also, the tire state quantity can include the amount of tire wear or the remaining durability value of the tire.

(Outline of tire state quantity estimation system processing)
An overview of the processing of the tire state quantity estimation system S1 according to the present embodiment will be described with reference to FIG.

In the example shown in FIG. 3, examples of the first raw information acquired by the vehicle information acquisition unit 101 include the static load estimated value d1a of the vehicle V and the vehicle-side longitudinal acceleration d1b.

In addition, tire internal pressure and temperature information d2 are given as examples of the second raw information d2 acquired by the sensor unit SU.

It should be noted that the specific examples of the first raw information and the second raw information described above are merely examples, and are not limited to these.

Here, the vehicle-side longitudinal acceleration d1b corresponds to information with a relatively small time constant (the time constant is less than seconds and changes relatively rapidly). Therefore, it corresponds to the first raw information d1 which is pre-calculated by the first data calculation unit 102 of the processing device 200 on the vehicle side.

On the other hand, the static load estimated value d1a, the tire internal pressure, and the temperature information d2 correspond to information with a relatively long time constant (for example, the time constant is several minutes or longer and changes relatively slowly). Therefore, the first raw information d1 and the second raw information d2 correspond to the second data D2 composed of information not used in the calculation process in the first data calculation unit 102 .

Then, based on the first data D1 and the second data D2 transmitted to the external device (cloud computing system CL1), the cloud computing system CL1 side calculates the dynamic load estimated value, the instantaneous wear amount, and the like. , the amount of wear is estimated based on the calculated third data D3.

It should be noted that the same processing can be performed for the durability determination of the tire 10 as well.

As a result, the amount of data communication can be suppressed compared to the case where all the raw data acquired by the vehicle information acquisition unit (vehicle sensor) 101 and the tire information acquisition unit (sensor unit) SU are transmitted to an external device. It is possible to reduce the communication cost and the like while ensuring the accuracy of estimating the state quantity of the tire including the degree of wear.

(First example of tire wear amount calculation)
A first example of tire wear amount calculation, which is one type of state quantity of the tire 10, will be described.

The amount of tire wear is calculated by the following formula: Wear amount (A) = Σ Instantaneous wear amount (M)
can be calculated by

The instantaneous wear amount (M) is calculated by the following formula: Instantaneous wear amount (M) = Coefficient x Complex frictional energy (E)
It is possible to calculate with

The composite frictional energy (E) is expressed by the following formula: composite frictional energy (E)=wear energy (E1)+composite wear energy (E2)
=a1×f+b1+a2×g+b2
(However, the coefficients a1, b1, a2, and b2 are constants derived using variables with relatively long time constants, f is the longitudinal acceleration used as an explanatory variable, and g is the lateral velocity used as an explanatory variable. is)
can be calculated by

Here, the above variable f (longitudinal acceleration) and variable g (lateral acceleration) correspond to information with a relatively small time constant (for example, the time constant is less than seconds and changes relatively rapidly). Therefore, it corresponds to the first raw information d1 which is pre-calculated by the first data calculation unit 102 of the processing device 200 on the vehicle side.

On the other hand, the coefficients a1, b1, a2, and b2 are constants derived using variables with relatively long time constants (for example, the time constant is several minutes or longer and changes relatively slowly).

Therefore, the first raw information d1 and the second raw information d2 correspond to the second data D2 composed of information not used in the calculation process in the first data calculation unit 102.

Note that the coefficients a1, b1, a2, and b2 can be obtained using a well-known regression analysis method (for example, the method of least squares, etc.).

As a result, part of the processing for estimating the state quantity of the tire is performed on the vehicle side using part of the raw data acquired by the vehicle information acquisition unit (vehicle sensor) 101 and the tire information acquisition unit (sensor unit) SU, Only other raw data can be transmitted to the external device (cloud computing system CL1) side, and part of the process of estimating the state quantity of the tire 10 can be performed on the external device side.

Therefore, compared to the case where all the raw data acquired by the vehicle information acquisition unit (vehicle sensor) 101 and the tire information acquisition unit (sensor unit) SU are transmitted to an external device, the amount of data communication can be suppressed. Communication costs and the like can be reduced while ensuring the accuracy of estimating tire state quantities including the amount of wear.

(Second embodiment of tire wear amount calculation)
A second embodiment of tire wear amount calculation, which is one type of state quantity of the tire 10, will be described.

Instantaneous wear amount (M) is calculated by the following formula: Instantaneous wear amount (M) = (Rolling amount p (t)) + (Acceleration/deceleration amount q (t) x f (t)) + (Lateral force amount r (t) ×g(t))
= number 1

≒ number 2

(where p(t): static tire load, q(t): coefficient due to acceleration/deceleration, r(t): coefficient due to lateral force, f(t): longitudinal acceleration, g(t): lateral acceleration)
can be calculated by

Note that Equation 1 is obtained by mathematically decomposing the instantaneous wear amount with the speed of change.

Here, p(t): tire static load is a value that changes due to loading and unloading of cargo, etc., and is estimated from information acquired by the sensor unit SU of the tire 10 .

Also, q(t): the coefficient due to acceleration/deceleration, which depends on the ground contact area, etc., and is the amount of change in the longitudinal direction among those that change over time due to, for example, the amount of wear. etc.

Also, r(t): coefficient due to lateral force depends on the ground contact area, etc., and is the amount of change in the lateral direction (lateral direction) among those that change over time due to, for example, the amount of wear. It is estimated from the acquired information.

In addition, f(t): longitudinal acceleration is estimated from information obtained directly by the vehicle information obtaining section (vehicle sensor) 101 or obtained by the sensor unit SU of the tire 10, or the like.

Note that p(t), q(t), and r(t) correspond to quantities that change relatively slowly with a time constant of several minutes or longer.

Also, f(t) and g(t) correspond to quantities that change relatively quickly with a time constant of less than a second.

In addition, the B1 part and B2 part of Equation 2 are integrals where t is within 1 minute, and can be calculated by edge computing.

Although the integrated value may be simply transmitted, the linear function, quadratic function (squared), and cubic function (cubic) of acceleration may be used as the time-integrated value component of acceleration according to the embodiment. It is also possible to transmit each integral value and correct it on the vehicle side (that is, correct it with the values of c1 to c3 obtained in advance).

Also, it is not limited to cubic function (cubic) components. For example, it may be a quadratic function (squared) component or a quartic function (quartic) component.

Also, c1 to c3 used for the above correction are a plurality of constants obtained in advance based on vehicle and tire information. Note that four or more correction values may be used without being limited to c1 to c3.

Further, not only correction but also correction and summation may be performed. Also, the processing associated with the correction can be performed by the vehicle V or the cloud.

As a result, part of the raw data acquired by the vehicle information acquisition unit (vehicle sensor) 101 and the tire information acquisition unit (sensor unit) SU (raw data relating to relatively fast time constants) is used to obtain the state quantity of the tire. Part of the process to be estimated is performed on the vehicle side, and only other raw data (raw data related to the amount with a relatively slow time constant) is sent to the external device (cloud computing system CL1) side, and the state quantity of the tire 10 part of the process of estimating can be performed on the external device side.

(Tire state quantity estimation process)
A processing procedure of the tire state quantity estimation process executed by the tire state quantity estimation system S1 according to the present embodiment will be described with reference to the flowchart of FIG.

Note that steps S10 to S13 of this process are executed by the processing device 200 on the vehicle side, and steps S14 to S16 are executed by the cloud computing system CL1 as an external device.

When this process is started, first raw information d1 regarding the vehicle V is acquired from the vehicle information acquisition unit (vehicle sensor) 101 in step S10.

Next, in step S11, the second raw information d2 regarding the tire 10 is obtained from the tire information obtaining section (sensor unit) SU, and the process proceeds to step S12.

In step S12, based on a part of the first raw information d1 and the second raw information d2, the processing device 200 on the vehicle side preliminarily calculates the first data D1 used for estimating the state quantity of the tire 10, and performs step S13. transition to

In step S13, the first data D1 and the second data D2 composed of information not used in the calculation process in step S12 for calculating the first data D1 out of the first raw information d1 and the second raw information d2 are combined. It is transmitted to the cloud computing system CL1 as an external device, and the process proceeds to step S14.

In step S14, it is determined whether or not the cloud computing system CL1 has received the first data D1 and the second data D2.

Then, when the determination result is "No", the process returns to step S10, and when the determination result is "Yes", the process proceeds to step S15.

In step S15, the third data D3 used for estimating the state quantity of the tire 10 is calculated based on the received second data D2, and the process proceeds to step S16.

In step S16, the state quantity (wear amount, etc.) of the tire 10 is estimated based on the received first data D1 and the calculated third data D3, and the process ends.

By this process, part of the process of estimating the state quantity of the tire is performed on the vehicle side using part of the acquired raw data, only the other raw data is transmitted to the cloud computing system CL1 side, and the tire state Part of the process of estimating the amount can be performed on the cloud computing system CL1 side. Therefore, compared with the case where all the acquired raw data is transmitted to an external device, the amount of data communication can be suppressed, and the cost can be reduced while ensuring the accuracy of estimating the state quantity of the tire including the degree of wear. can be done.

Although the tire state quantity estimation system, the tire state quantity estimation program, and the tire state quantity estimation method of the present invention have been described above based on the illustrated embodiments, the present invention is not limited to this, and the configuration of each part is , can be replaced by any configuration having similar functionality.

S1 Tire state quantity estimation system d1 First raw information d2 Second raw information CL1 External device (cloud computing system)
D1 First data D2 Second data D3 Third data SU Tire information acquisition unit (sensor unit)
V vehicle 10 tire 101 vehicle information acquisition unit (vehicle sensor)
102 First data calculator 103 Transmitter 200 Processor 301 Receiver 302 Third data calculator 303 Tire state quantity estimator

Claims

A vehicle information acquisition unit that is in a vehicle and acquires first raw information about the vehicle;
a tire information acquisition unit mounted on a tire of the vehicle and acquiring second raw information about the tire;
a first data calculation unit that preliminarily calculates first data used for estimating the state quantity of the tire based on part of the acquired first raw information and second raw information;
a transmission unit configured to transmit second data composed of information not used for calculation processing in the first data calculation unit among the first raw information and the second raw information, and the first data to an external device; ,
a receiving unit in the external device that receives the first data and the second data;
In the external device, a third data calculation unit for calculating third data used for estimating the state quantity of the tire based on the received second data;
In the external device, a tire state quantity estimating unit for estimating the state quantity of the tire based on the received first data and the calculated third data;
A tire state quantity estimation system comprising:
A part of the first raw information and the second raw information used for calculation processing in the first data calculation unit has a frequency component of a signal included in the first raw information and the second raw information that is equal to or less than a predetermined value. 2. The tire state quantity estimation system according to claim 1, wherein the information includes variables of .
The tire state quantity estimation system according to claim 2, wherein the information including a variable whose frequency component of the signal is equal to or less than a predetermined value includes vehicle acceleration information obtained by the vehicle information obtaining unit.
The tire state quantity estimation system according to claim 3, wherein the first data includes a time integrated value component of the vehicle acceleration information.
The tire state quantity estimation system according to any one of claims 1 to 4, wherein the tire state quantity includes a tire wear amount or a tire remaining durability value.
The tire wear amount is expressed by the following formula: wear amount (A) = Σ instantaneous wear amount (M)
Calculated by
The instantaneous wear amount (M) is calculated by the following formula: Instantaneous wear amount (M)=(Rolling amount p(t))+(Acceleration/deceleration amount q(t)×f(t))+(Lateral force amount r(t) )×g(t))
= number 1

≒ number 2

(where p(t): static tire load, q(t): coefficient due to acceleration/deceleration, r(t): coefficient due to lateral force, f(t): longitudinal acceleration, g(t): lateral acceleration)
The tire state quantity estimation system according to claim 5, wherein the calculation is performed by:
a vehicle information acquisition step of acquiring first raw information about the vehicle;
a tire information acquisition step of acquiring second raw information about tires of the vehicle;
a first data calculation step of preliminarily calculating first data used for estimating the state quantity of the tire based on part of the acquired first raw information and second raw information;
a transmitting step of transmitting the first raw information and the second data composed of information not used in the calculation process in the first data calculating step out of the first raw information and the second raw information, and the first data to an external device; ,
a receiving step of receiving the first data and the second data in the external device;
a third data calculation step of calculating, in the external device, third data used for estimating the state quantity of the tire based on the received second data;
a tire state quantity estimation step of estimating a state quantity of the tire in the external device based on the received first data and the calculated third data;
has
A tire state quantity estimation program executed by a tire state quantity estimation system.
a vehicle information acquisition process for acquiring first raw information about the vehicle;
a tire information obtaining step of obtaining second raw information about tires of the vehicle;
a first data calculation step of preliminarily calculating first data used for estimating the state quantity of the tire based on part of the acquired first raw information and second raw information;
a transmitting step of transmitting the first raw information and the second data composed of information not used in the calculation process in the first data calculating step out of the first raw information and the second raw information, and the first data to an external device; ,
a receiving process of receiving the first data and the second data in the external device;
a third data calculation step of calculating, in the external device, third data used for estimating the state quantity of the tire based on the received second data;
a tire state quantity estimation process for estimating the state quantity of the tire based on the received first data and the calculated third data in the external device;
A tire state quantity estimation method, comprising: