A vehicle tire pressure monitoring method, device and vehicle

Abstract

The application provides a vehicle tire pressure monitoring method and device and a vehicle. The method comprises: acquiring positioning data of a vehicle in a sampling time interval; calculating a first driving distance of the vehicle in the sampling time interval according to the positioning data; acquiring wheel speeds of wheels in the vehicle in the sampling time interval; calculating wheel driving distances of the wheels in the sampling time interval according to the wheel speeds; and determining that a tire of the wheel has a tire pressure abnormality when a difference between the wheel driving distances and the first driving distance does not meet a first preset condition. In this way, the vehicle does not need to be additionally provided with a tire pressure monitoring sensor, the tire pressure of the wheel is determined according to the difference between the wheel driving distances and the first driving distance by comparing the wheel driving distances with the first driving distance, the vehicle can realize tire pressure monitoring without being additionally provided with a tire pressure monitoring sensor, and the implementation cost of tire pressure monitoring can be reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicles, in particular to a vehicle tire pressure monitoring method, device and vehicle. BACKGROUND

[0002] During vehicle driving, tire pressure is an important factor affecting driving safety, and tire pressure anomaly is the most worrying and difficult to prevent fault for drivers, and is also an important cause of traffic accidents. Therefore, tire pressure monitoring has become one of the indispensable safety guarantees for vehicles and drivers.

[0003] In the prior art, a tire pressure monitoring system is usually installed, a tire pressure monitoring sensor is added to each wheel, and a tire pressure signal receiving and processing system is used to monitor the tire pressure of the vehicle. However, the method of directly measuring tire pressure by adding a tire pressure monitoring sensor has the problem of high cost. SUMMARY

[0004] Therefore, the present application aims to provide a vehicle tire pressure monitoring method, device and vehicle to solve the problem of high cost in the method of directly measuring tire pressure by adding a tire pressure monitoring sensor.

[0005] To achieve the above-mentioned purpose, the technical solution of the present application is as follows:

[0006] A vehicle tire pressure monitoring method, the method comprising:

[0007] obtaining positioning data of the vehicle in a sampling time interval;

[0008] calculating a first driving distance of the vehicle in the sampling time interval according to the positioning data;

[0009] obtaining wheel speed of a wheel in the vehicle in the sampling time interval;

[0010] calculating a wheel driving distance of the wheel in the sampling time interval according to the wheel speed of the wheel;

[0011] if the difference between the wheel driving distance and the first driving distance does not meet a first preset condition, determining that the tire of the wheel has a tire pressure anomaly.

[0012] Further, before the obtaining of the wheel speed of the wheel in the vehicle in the sampling time interval, the method further comprises:

[0013] obtaining vehicle speed of the vehicle in the sampling time interval;

[0014] calculating a second driving distance of the vehicle in the sampling time interval according to the vehicle speed;

[0015] determining that the tire of the vehicle exists tire pressure abnormality in a case where the difference degree of the second driving distance and the first driving distance does not meet a first preset condition;

[0016] The obtaining of the wheel speed of the vehicle wheel in the sampling time interval comprises: in a case where the vehicle exists the tire of tire pressure abnormality, obtaining the wheel speed of the vehicle wheel in the sampling time interval.

[0017] Further, the wheel speed of the vehicle wheel comprises a plurality of wheel speeds obtained by sampling in the sampling time interval according to a sampling time interval, the vehicle speed of the vehicle comprises a plurality of vehicle speeds obtained by sampling in the sampling time interval according to the sampling time interval, and the calculating of the wheel driving distance of the vehicle wheel in the sampling time interval according to the wheel speed of the vehicle wheel comprises:

[0018] multiplying the plurality of wheel speeds by the sampling time interval respectively and summing up to obtain the wheel driving distance of the vehicle wheel in the sampling time interval;

[0019] The calculating of the second driving distance of the vehicle in the sampling time interval according to the vehicle speed comprises:

[0020] multiplying the plurality of vehicle speeds by the sampling time interval respectively and summing up to obtain the second driving distance of the vehicle in the sampling time interval.

[0021] Further, the positioning data comprises latitude and longitude data of the vehicle in the sampling time interval, and the calculating of the first driving distance of the vehicle in the sampling time interval according to the positioning data comprises:

[0022] arranging the measured values in the latitude and longitude data according to the measurement time sequence to obtain latitude and longitude time sequence data;

[0023] generating a driving track of the vehicle according to the latitude and longitude time sequence data;

[0024] calculating the first driving distance according to the driving track.

[0025] Further, the first preset condition is that the difference degree is 0, and the determining of the tire of the vehicle wheel existing tire pressure abnormality in a case where the difference degree of the wheel driving distance and the first driving distance does not meet the first preset condition comprises:

[0026] determining that the tire of the vehicle wheel exists first tire pressure abnormality in a case where the difference degree of the wheel driving distance and the first driving distance is 0 and the wheel driving distance is greater than the first driving distance, and the first tire pressure abnormality indicates that the tire pressure of the vehicle wheel is less than a preset standard tire pressure;

[0027] In a case where the difference degree of the wheel travel mileage and the first travel mileage is 0 and the wheel travel mileage is less than the first travel mileage, it is determined that the tire of the wheel has a second tire pressure abnormality; the second tire pressure abnormality indicates that the tire pressure of the wheel is greater than the preset standard tire pressure.

[0028] Further, after the determination that the tire of the wheel has a tire pressure abnormality, the method further comprises:

[0029] In a case where it is determined that the tire of the wheel has a first tire pressure abnormality, a first tire pressure abnormality alarm signal is outputted and first tire pressure abnormality information of the wheel is displayed;

[0030] In a case where it is determined that the tire of the wheel has a second tire pressure abnormality, a second tire pressure abnormality alarm signal is outputted and second tire pressure abnormality information of the wheel is displayed.

[0031] Compared with the prior art, the vehicle tire pressure monitoring method has the following advantages: the vehicle tire pressure monitoring method obtains the positioning data of the vehicle in a sampling time interval and the wheel speed of the wheel in the vehicle; the wheel travel mileage of the wheel in the sampling time interval is calculated according to the wheel speed of the wheel; the first travel mileage of the vehicle in the sampling time interval is calculated according to the positioning data; in a case where the difference degree of the wheel travel mileage and the first travel mileage does not meet a first preset condition, it is determined that the tire of the wheel has a tire pressure abnormality. In this way, without additionally installing a tire pressure monitoring sensor on the wheel, the tire pressure of the wheel is determined according to the difference degree of the wheel travel mileage and the first travel mileage by comparing the wheel travel mileage with the first travel mileage, so that the vehicle can realize tire pressure monitoring without installing a tire pressure monitoring sensor, and thus the implementation cost of tire pressure monitoring can be reduced.

[0032] Another object of the present application is to provide a vehicle tire pressure monitoring device to solve the problem of high cost caused by directly measuring the tire pressure by adding a tire pressure monitoring sensor.

[0033] To achieve the above object, the technical scheme of the present application is as follows:

[0034] A vehicle tire pressure monitoring device, characterized in that the device comprises:

[0035] A first acquisition module is configured to acquire the positioning data of the vehicle in a sampling time interval;

[0036] A first calculation module is configured to calculate the first travel mileage of the vehicle in the sampling time interval according to the positioning data;

[0037] A second acquisition module is configured to acquire the wheel speed of the wheel in the vehicle in the sampling time interval.

[0038] a second calculation module, configured to calculate a wheel travel mileage of the wheel in the sampling time interval according to the wheel speed of the wheel;

[0039] a first determination module, configured to determine that the tire of the wheel has a tire pressure abnormality in a case where a difference degree between the wheel travel mileage and the first travel mileage does not meet a first preset condition.

[0040] Further, the device further comprises:

[0041] a third acquisition module, configured to acquire a vehicle speed of the vehicle in the sampling time interval before the second acquisition module acquires the wheel speed of the wheel in the vehicle in the sampling time interval;

[0042] a third calculation module, configured to calculate a second travel mileage of the vehicle in the sampling time interval according to the vehicle speed;

[0043] a second determination module, configured to determine that the vehicle has a tire with a tire pressure abnormality in a case where a difference degree between the second travel mileage and the first travel mileage does not meet a first preset condition.

[0044] The second acquisition module is specifically configured to acquire the wheel speed of the wheel in the vehicle in the sampling time interval in a case where the second determination module determines that the vehicle has a tire with a tire pressure abnormality.

[0045] Further, the wheel speed of the wheel comprises a plurality of wheel speeds sampled in the sampling time interval at a sampling time interval, and the vehicle speed comprises a plurality of vehicle speeds sampled in the sampling time interval at the sampling time interval, and the second calculation module is specifically configured to:

[0046] multiply and sum the plurality of wheel speeds respectively with the sampling time interval to obtain the wheel travel mileage of the wheel in the sampling time interval;

[0047] The third calculation module is specifically configured to multiply and sum the plurality of vehicle speeds respectively with the sampling time interval to obtain the second travel mileage of the vehicle in the sampling time interval.

[0048] Further, the positioning data comprises latitude and longitude data of the vehicle in the sampling time interval, and the first calculation module is specifically configured to:

[0049] arrange measurement values in the latitude and longitude data according to measurement time sequences to obtain latitude and longitude time sequence data;

[0050] generate a travel trajectory of the vehicle according to the latitude and longitude time sequence data;

[0051] The first driving distance is calculated according to the driving track.

[0052] Further, the first preset condition is that the difference degree is 0; and the first determination module is specifically configured to:

[0053] In a case where the difference degree between the wheel driving distance and the first driving distance is 0 and the wheel driving distance is greater than the first driving distance, it is determined that the tire of the wheel has a first tire pressure abnormality; the first tire pressure abnormality indicates that the tire pressure of the wheel is less than a preset standard tire pressure.

[0054] In a case where the difference degree between the wheel driving distance and the first driving distance is 0 and the wheel driving distance is less than the first driving distance, it is determined that the tire of the wheel has a second tire pressure abnormality; the second tire pressure abnormality indicates that the tire pressure of the wheel is greater than the preset standard tire pressure.

[0055] Further, the device further comprises:

[0056] The first output module is configured to output a first tire pressure abnormality alarm signal and display first tire pressure abnormality information of the wheel in a case where the first determination module determines that the tire of the wheel has a first tire pressure abnormality.

[0057] The second output module is configured to output a second tire pressure abnormality alarm signal and display second tire pressure abnormality information of the wheel in a case where the first determination module determines that the tire of the wheel has a second tire pressure abnormality.

[0058] The vehicle tire pressure monitoring device has the same advantages as the vehicle tire pressure monitoring method, and details are not repeated here.

[0059] Another purpose of the present application is to provide a vehicle to solve the problem of high cost by directly measuring the tire pressure through the addition of a tire pressure monitoring sensor.

[0060] The vehicle is provided with the vehicle tire pressure monitoring device as described above, and is used to execute the vehicle tire pressure monitoring method as described above.

[0061] The vehicle has the same advantages as the vehicle tire pressure monitoring method and the vehicle tire pressure monitoring device, and details are not repeated here. BRIEF DESCRIPTION OF DRAWINGS

[0062] The accompanying drawings, which form a part of the present application, are used to provide a further understanding of the present application, and the illustrative embodiments thereof and their descriptions are used to explain the present application, and do not constitute improper limitations on the present application. In the drawings:

[0063] Figure 1A flow chart of steps of a vehicle tire pressure monitoring method according to an embodiment of the present application;

[0064] Figure 2 A data transmission schematic diagram of a vehicle and a cloud platform according to an embodiment of the present application;

[0065] Figure 3 A process schematic diagram of driven tire pressure monitoring according to an embodiment of the present application;

[0066] Figure 4 A block diagram of a vehicle tire pressure monitoring device according to an embodiment of the present application. DETAILED DESCRIPTION

[0067] It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict.

[0068] The present application will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.

[0069] The present application provides a vehicle tire pressure monitoring method, applied to a vehicle.

[0070] As shown in Figure 1 The vehicle tire pressure monitoring method provided by the present application can include the following steps:

[0071] Step 101, obtaining positioning data of the vehicle in a sampling time interval.

[0072] In the present application, the positioning data of the vehicle in the sampling time interval can be obtained by the positioning sensor installed on the vehicle. The positioning data of the vehicle can include the position information of the vehicle during driving. The sampling time interval can be a period of time during driving, or a driving cycle from starting to stopping, which is not limited in the present application.

[0073] Optionally, the positioning sensor of the vehicle can access a satellite positioning system such as Beidou satellite navigation system, Global Positioning System (GPS) or Galileo system, and obtain the position information of the vehicle by satellite positioning technology to obtain the positioning data, which is only an example in the present application. It should be noted that the vehicle generally has a positioning sensor, and the positioning sensor is reused in the present application, so that the tire pressure monitoring sensor does not need to be additionally installed on the vehicle, and the tire pressure monitoring of the vehicle can be realized, thereby reducing the implementation cost of tire pressure monitoring.

[0074] Optionally, the execution subject of the vehicle tire pressure monitoring method provided by the embodiments of the present application can be a vehicle or other equipment, for example, the other equipment can be a vehicle networking background server. The vehicle can obtain the positioning data of the vehicle collected by the positioning sensor in the sampling time interval through the vehicle controller. Optionally, when the vehicle networking background server is the execution subject of the vehicle tire pressure monitoring method, the vehicle networking background server can receive the positioning data of the vehicle in the sampling time interval uploaded by the vehicle end. Accordingly, when the first driving distance needs to be calculated, the positioning data in the sampling time interval can be read from the received positioning data, and the vehicle networking background server can realize multi-dimensional data storage, calculation and processing of the vehicle, the environment and the user based on software development.

[0075] In a feasible implementation, the vehicle can upload the positioning data to the vehicle networking background server through the vehicle-mounted communication terminal, and the vehicle networking background server receives and stores the positioning data. As shown in Figure 2 The vehicle establishes a bidirectional communication connection with the cloud platform based on the vehicle networking background server, and the vehicle can upload the positioning data to the cloud platform.

[0076] Step 102, calculating the first driving distance of the vehicle in the sampling time interval according to the positioning data.

[0077] In the embodiments of the present application, the first driving distance of the vehicle can be calculated according to the positioning data of the vehicle in the sampling time interval. The first driving distance can be the driving distance of the vehicle in the sampling time interval. The driving distance of the vehicle calculated based on the positioning data is more accurate and can be used as a reference benchmark. For example, the distance between the sampling points can be calculated according to the obtained Beidou positioning data or GPS data according to the data sampling frequency, and the sum of the distances between the sampling points is obtained to obtain the driving distance of the vehicle in the sampling time interval. Of course, other methods can also be used to calculate the first driving distance of the vehicle in the sampling time interval, which is only an example and the embodiments of the present application do not limit this.

[0078] Optionally, the computing power of the vehicle controller can be improved through a preset computing power platform to realize the operation and processing of the positioning data at the vehicle end. The preset computing power platform can be a computing platform with a computing power higher than a preset computing power threshold. The vehicle controller calculates the first driving distance of the vehicle in the sampling time interval according to the positioning data.

[0079] Optionally, the vehicle networking background server can perform big data analysis in the cloud based on the received positioning data, and can use a relatively complex model in combination with historical positioning data to make the calculated first driving distance more accurate.

[0080] Step 103, obtaining the wheel speed of the wheel in the vehicle in the sampling time interval.

[0081] In the embodiment of the present application, the wheel speed of the wheels in the vehicle in the sampling time interval can be obtained through the wheel speed sensor installed on the vehicle. The wheel speed of the wheels can include the wheel speed of each of the four wheels of the vehicle, and the obtained wheel speed of the wheels can be the wheel speed of the four wheels or the wheel speed of any number of wheels in the four wheels, which is not limited in the embodiment of the present application. The sampling time interval can be a period of time during the driving of the vehicle, or a driving cycle from starting the vehicle to turning off the vehicle, which is not limited in the embodiment of the present application.

[0082] Optionally, the wheel speed sensor can measure the rotation speed of the wheels. Commonly used wheel speed sensors include magneto-electric wheel speed sensors and Hall wheel speed sensors. The wheel speed sensor can be installed on the wheels or in the main reducer or transmission, which is not limited in the embodiment of the present application. It should be noted that the vehicle is generally equipped with a wheel speed sensor. In the embodiment of the present application, the wheel speed sensor is reused, so that the tire pressure monitoring of the vehicle can be realized without additionally installing a tire pressure monitoring sensor on the wheels, thereby reducing the implementation cost of the tire pressure monitoring.

[0083] Optionally, when the vehicle is the execution subject of the vehicle tire pressure monitoring method, the wheel speed of the wheels in the vehicle in the sampling time interval collected by the wheel speed sensor can be obtained through the vehicle controller. Optionally, when the vehicle network background server is the execution subject, the vehicle network background server can receive the wheel speed of the wheels in the vehicle in the sampling time interval uploaded by the vehicle end. Correspondingly, when the second driving distance needs to be calculated, the wheel speed in the sampling time interval can be read from the received wheel speed.

[0084] In a feasible implementation manner, the vehicle can upload the wheel speed data to the vehicle network background server through the vehicle-mounted communication terminal, and the vehicle network background server receives and stores the wheel speed data. As shown in FIG. 8, the vehicle establishes a bidirectional communication connection with the cloud platform based on the vehicle network background server, and the vehicle can upload the wheel speed data to the cloud platform. Figure 2

[0085] Optionally, the vehicle can be equipped with an electronic stability program (ESP) system, which includes a control unit, a steering sensor, a wheel speed sensor, a side slip sensor, a lateral acceleration sensor, etc. The ESP system can obtain the wheel speed of the wheels in the vehicle through the wheel speed sensor, and send the wheel speed data to the vehicle controller or upload the wheel speed data to the vehicle network background server through the vehicle-mounted communication terminal.

[0086] In step 104, the wheel driving distance of the wheels in the sampling time interval is calculated according to the wheel speed of the wheels.

[0087] ​In the embodiment of the present application, the vehicle controller can calculate the driving mileage of the wheel corresponding to any wheel speed obtained according to the wheel speed of the wheel. The driving mileage of the wheel can be the distance traveled by a fixed point on the tire during the driving process of the vehicle. Alternatively, the driving mileage of the wheel can be obtained by multiplying the number of turns of the wheel in the sampling time interval by the circumference of the tire. Of course, it can also be obtained by multiplying the wheel speed by the time. Here, only an example is given, and the embodiment of the present application does not limit this.

[0088] Alternatively, the Internet of Vehicles background server can obtain more accurate driving mileage of the wheel by analyzing and processing the wheel speed through cloud computing according to the received wheel speed data. Here, only an example is given, and the embodiment of the present application does not limit this.

[0089] In step 105, if the difference between the driving mileage of the wheel and the first driving mileage does not meet the first preset condition, it is determined that the tire of the wheel has a tire pressure abnormality.

[0090] In the embodiment of the present application, the driving mileage of the wheel is compared with the first driving mileage. If the difference between the driving mileage of the wheel and the first driving mileage does not meet the first preset condition, it is determined that the tire of the wheel has a tire pressure abnormality. The difference between the driving mileage of the wheel and the first driving mileage can be calculated as the difference between the driving mileage of the wheel and the first driving mileage, which can reflect the difference between the two. The first preset condition can be a preset difference range, for example, 5% of the first driving mileage. If the difference between the driving mileage of the wheel and the first driving mileage exceeds 5% of the first driving mileage, the tire of the wheel has a tire pressure abnormality. Of course, the first preset condition can also be a difference of 0. If the difference does not meet the first preset condition, it means that the driving mileage of the wheel is not equal to the first driving mileage, and the tire of the wheel has a tire pressure abnormality. Here, only an example is given, and the embodiment of the present application does not limit this.

[0091] In the embodiment of the present application, the comparison between the driving mileage of the wheel and the first driving mileage can be performed at the vehicle end through the vehicle controller to realize logical judgment of the tire pressure abnormality. Of course, cloud data processing and logical analysis can also be performed at the Internet of Vehicles background server to determine the tire pressure of the wheel according to the relationship between the difference between the driving mileage of the wheel and the first driving mileage and the first preset condition. The embodiment of the present application does not limit this.

[0092] In summary, in the embodiment of the present application, the positioning data of the vehicle in the sampling time interval and the wheel speed of the vehicle are obtained, the wheel travel mileage of the vehicle in the sampling time interval is calculated according to the wheel speed of the vehicle, the first travel mileage of the vehicle in the sampling time interval is calculated according to the positioning data, and the tire pressure of the tire of the vehicle is determined to be abnormal when the difference between the wheel travel mileage and the first travel mileage does not meet the first preset condition. In this way, the tire pressure monitoring sensor does not need to be additionally installed on the vehicle, the tire pressure of the tire of the vehicle is determined according to the difference between the wheel travel mileage and the first travel mileage, the vehicle does not need to be additionally installed with the tire pressure monitoring sensor, and the tire pressure monitoring of the vehicle can be realized, so that the implementation cost of the tire pressure monitoring can be reduced.

[0093] Optionally, before the wheel speed of the vehicle in the sampling time interval is obtained, the method further comprises:

[0094] Step 201, obtaining the vehicle speed of the vehicle in the sampling time interval.

[0095] In the embodiment of the present application, the vehicle controller can obtain the vehicle speed of the vehicle in the sampling time interval through the vehicle speed sensor installed on the vehicle. Optionally, the vehicle speed of the vehicle can be obtained by measuring the rotation speed of the wheel and analyzing and processing the rotation speed of the wheel. Of course, other ways can also be used to obtain the vehicle speed of the vehicle, which is only an example and the embodiment of the present application does not limit this. Optionally, when the Internet of Vehicles background server is used as the execution subject of the vehicle tire pressure monitoring method, the vehicle speed of the vehicle in the sampling time interval uploaded by the vehicle through the vehicle-mounted communication terminal is received, and the embodiment of the present application does not limit this.

[0096] Optionally, the ESP system outputs five speed data, including the real wheel speed of each wheel and the vehicle speed obtained by converting and calculating the wheel speeds of the four wheels according to the default calculation logic. The ESP system packages and sends the speed data to the vehicle controller or uploads the speed data to the Internet of Vehicles background server through the vehicle-mounted communication terminal, and the vehicle controller or the Internet of Vehicles background server uniformly analyzes and processes the speed data. In this way, the wheel speeds of the four wheels and the vehicle speed of the vehicle can be conveniently and quickly obtained at one time through the ESP system, and the transmission efficiency of the data is improved.

[0097] Step 202, calculating the second travel mileage of the vehicle in the sampling time interval according to the vehicle speed.

[0098] In the embodiment of the present application, the vehicle controller can calculate the second driving distance of the vehicle according to the vehicle speed in the sampling time interval. The second driving distance can be the driving distance of the vehicle in the sampling time interval. The second driving distance can be obtained by multiplying the vehicle speed of the vehicle in the sampling time interval by the driving time of the vehicle. For example, if the vehicle travels at a constant speed of 30 kilometers per hour in the sampling time interval of 5 hours, the second driving distance of the vehicle is 150 kilometers.

[0099] Optionally, the Internet of Vehicles background server analyzes and processes the vehicle speed through cloud computing according to the received vehicle speed uploaded by the vehicle-mounted communication terminal or the speed data uploaded by the ESP system, so as to obtain a more accurate second driving distance. The embodiment of the present application does not limit this.

[0100] In step 203, if the difference between the second driving distance and the first driving distance does not meet the first preset condition, it is determined that the vehicle has a tire pressure abnormal tire.

[0101] In the embodiment of the present application, the second driving distance is compared with the first driving distance. If the difference between the second driving distance and the first driving distance does not meet the first preset condition, it is determined that the vehicle has a tire pressure abnormal tire. The first preset condition can be a preset error range, for example, 5% of the first driving distance. If the difference between the second driving distance and the first driving distance exceeds 5% of the first driving distance, the vehicle has a tire pressure abnormal tire. Of course, the first preset condition can also be 0. If the difference does not meet the first preset condition, it means that the second driving distance is not equal to the first driving distance, and the vehicle has a tire pressure abnormal tire.

[0102] Optionally, the step of determining that the vehicle has a tire pressure abnormal tire when the difference between the second driving distance and the first driving distance does not meet the first preset condition can be performed by the vehicle controller at the vehicle end. Of course, the cloud data processing and logical analysis can also be performed by the Internet of Vehicles background server according to the relationship between the difference between the second driving distance and the first driving distance and the first preset condition to determine whether the vehicle has a tire pressure abnormal tire. The embodiment of the present application does not limit this. In the embodiment of the present application, whether the first preset condition is met is determined according to the difference between the second driving distance and the first driving distance, so as to determine whether the vehicle has a tire pressure abnormal tire. The overall tire pressure condition of the vehicle can be known in advance.

[0103] Optionally, step 103 can include the following steps:

[0104] In step 1031, if the vehicle has a tire pressure abnormal tire, the wheel speed of the wheel in the vehicle in the sampling time interval is obtained.

[0105] In the embodiment of the present application, in the case where it is determined that the vehicle has a tire with abnormal tire pressure, the wheel speed of the vehicle wheel in the vehicle in the sampling time interval can be obtained through the wheel speed sensor installed on the vehicle. The method for obtaining the wheel speed of the vehicle wheel in the vehicle in the sampling time interval can refer to the obtaining method provided in the embodiment of step 103, which will not be described here.

[0106] In the embodiment of the present application, before obtaining the wheel speed of the vehicle wheel in the vehicle in the sampling time interval, the vehicle speed in the sampling time interval is obtained, the second driving distance of the vehicle in the sampling time interval is calculated according to the vehicle speed, and in the case where the difference between the second driving distance and the first driving distance does not meet the first preset condition, it is determined that the vehicle has a tire with abnormal tire pressure. In the case where the vehicle has a tire with abnormal tire pressure, the wheel speed of the vehicle wheel in the vehicle in the sampling time interval is obtained. In this way, the tire pressure condition of the vehicle as a whole can be known first, and it can be determined whether the vehicle has a tire with abnormal tire pressure. In the case where the vehicle has a tire with abnormal tire pressure, the wheel speed of the vehicle wheel in the vehicle in the sampling time interval is obtained, which can save the computing power of the vehicle controller or the background server of the Internet of Vehicles and improve the quality and efficiency of tire pressure monitoring.

[0107] In a possible implementation, the wheel speeds of the driven wheels and the driving wheels of the vehicle in the sampling time interval can be obtained, and the driving distances of the driven wheels and the driving wheels of the vehicle in the sampling time interval can be calculated according to the wheel speeds of the driven wheels and the driving wheels, respectively. In the case where the difference between the driving distances of the driven wheels and the driving wheels and the first driving distance does not meet the first preset condition, it is determined that the driven wheels and / or the driving wheels of the vehicle have a tire with abnormal tire pressure. In the case where the driven wheels and / or the driving wheels have a tire with abnormal tire pressure, the wheel speed of the vehicle wheel in the vehicle in the sampling time interval is obtained again.

[0108] Optionally, the wheel speed of the vehicle wheel includes a plurality of wheel speeds obtained by sampling in the sampling time interval at a sampling time interval, and the vehicle speed includes a plurality of vehicle speeds obtained by sampling in the sampling time interval at the sampling time interval. Step 104 can include the following steps:

[0109] Step 1041, multiplying the plurality of wheel speeds by the sampling time interval respectively and summing up to obtain the driving distance of the vehicle wheel in the sampling time interval.

[0110] In the embodiment of the present application, the wheel speeds and the vehicle speeds are uniformly sampled multiple times in a sampling time interval according to a sampling frequency, so as to obtain multiple wheel speeds and multiple vehicle speeds. The sampling frequency can be determined according to the period of signal transmission in the controller area network (CAN) of the vehicle and / or the network rate when uploading to the vehicle networking background server. For example, when defining the CAN network matrix, the period of signal transmission is defined as 20 milliseconds, and when uploading data to the cloud, the vehicle network intelligent terminal (T-Box) adjusts the period of transmission signal based on the network rate, and the period of 20 milliseconds is reduced to 1 second, so the sampling frequency can be 1 second each time. This is just an example, and the embodiment of the present application does not limit this.

[0111] In the embodiment of the present application, the wheel speed at each sampling time in the multiple wheel speeds is multiplied by the sampling time interval corresponding to the sampling frequency and summed, so as to obtain the wheel travel mileage of the vehicle wheel in the sampling time interval. For example, the sampling time interval is a driving cycle, and the left front wheel speed at each sampling time obtained according to the sampling frequency of 1 second each time in a driving cycle includes: V_f0, V_f1, …, V_f n The left front wheel speed V_f0, V_f1, …, V_f n is multiplied by the sampling time interval T corresponding to the sampling frequency and summed, so as to obtain the wheel travel mileage M1 of the left front wheel in a driving cycle: M1=V_f0×T+V_f1×T+…+V_f n ×T. Similarly, the right front wheel travel mileage M2, the left rear wheel travel mileage M3, and the right rear wheel travel mileage M4 can be obtained. This is just an example, and the embodiment of the present application does not limit this.

[0112] Optionally, the multiple wheel speeds can be uploaded to the vehicle networking background server, and the vehicle networking background server analyzes and processes the stored wheel speeds through cloud computing to calculate the wheel travel mileage of the vehicle wheel in the sampling time interval, so that the obtained wheel travel mileage is more accurate, and the embodiment of the present application does not limit this.

[0113] Optionally, step 202 can include the following steps:

[0114] Step 2021, multiplying the multiple vehicle speeds by the sampling time interval and summing to obtain the second travel mileage of the vehicle in the sampling time interval.

[0115] In the embodiment of the present application, the vehicle speed at each sampling time in the plurality of vehicle speeds is multiplied by the sampling time interval corresponding to the sampling frequency and summed up, thereby obtaining the second driving distance of the vehicle in the sampling time interval. For example, the sampling time interval is one driving cycle, and the vehicle speed at each sampling time obtained according to the sampling frequency of 1 second per time in one driving cycle includes V0, V1, …, V n The vehicle speed V0, V1, …, V n is multiplied by the sampling time interval T corresponding to the sampling frequency and summed up, thereby obtaining the second driving distance M = V0×T + V1×T + … + V n ×T of the vehicle in one driving cycle. Here, only an example is given, and the embodiment of the present application is not limited thereto.

[0116] Optionally, the plurality of vehicle speeds can be uploaded to a vehicle networking background server, and the vehicle networking background server analyzes and processes the stored vehicle speeds through cloud computing to obtain the second driving distance of the vehicle in the sampling time interval, so that the obtained second driving distance is more accurate, and the embodiment of the present application is not limited thereto.

[0117] In the embodiment of the present application, the wheel speed of the wheel includes a plurality of wheel speeds obtained by sampling in the sampling time interval according to the sampling time interval, the vehicle speed of the vehicle includes a plurality of vehicle speeds obtained by sampling in the sampling time interval according to the sampling time interval, the plurality of wheel speeds are multiplied by the sampling time interval and summed up to obtain the wheel driving distance of the wheel in the sampling time interval, and the plurality of vehicle speeds are multiplied by the sampling time interval and summed up to obtain the second driving distance of the vehicle in the sampling time interval. In this way, the wheel speed and / or vehicle speed data can be obtained by sampling multiple times in the sampling time interval, the number of samples of the wheel speed and / or vehicle speed can be increased, the wheel speed and / or vehicle speed are multiplied by the sampling time, respectively, thereby obtaining the total distance of a plurality of sampling times, and the wheel driving distance and the second driving distance calculated are more accurate.

[0118] Optionally, the positioning data includes latitude and longitude data of the vehicle in the sampling time interval, and step 102 can include the following steps:

[0119] Step 1021, arranging the measured values in the latitude and longitude data according to the measurement time sequence to obtain latitude and longitude time sequence data.

[0120] In the embodiment of the present application, the positioning sensor is used to obtain the positioning data of the vehicle in the sampling time interval, and the positioning data includes latitude and longitude data. The latitude and longitude data can include a plurality of latitude and longitude measurement values and corresponding measurement times obtained by the positioning sensor collecting the real-time position of the vehicle during the driving of the vehicle in the sampling time interval. In the embodiment of the present application, the measurement values in the latitude and longitude data are arranged according to the measurement time sequence, thereby obtaining the latitude and longitude time sequence data. The plurality of latitude and longitude measurement values and the corresponding measurement times are arranged in time sequence, and the arranged latitude and longitude data is the latitude and longitude time sequence data. For example, the GPS data of the vehicle includes a latitude and longitude measurement value recorded every time interval, and the commonly used time interval is 1 second, 5 seconds, 10 seconds, etc. The latitude and longitude measurement values in the GPS data are arranged according to the measurement time sequence, thereby obtaining the latitude and longitude time sequence data. This is only an example and the embodiment of the present application is not limited thereto.

[0121] Optionally, the computing power of the vehicle controller is improved through a preset computing platform, and the measurement values in the latitude and longitude data are arranged according to the measurement time sequence at the vehicle end to obtain the latitude and longitude time sequence data. Since the vehicle end has the advantage of fast response speed, the efficiency of obtaining the latitude and longitude time sequence data can be improved. Optionally, the positioning data can be uploaded to the vehicle networking background server through the vehicle-mounted communication terminal, and the measurement values of the latitude and longitude data in the positioning data are arranged according to the measurement time sequence in the cloud through big data analysis of the vehicle networking background server to obtain the latitude and longitude time sequence data, and the embodiment of the present application is not limited thereto. Since the processing accuracy of the vehicle networking background server is usually higher, the data obtained by using the vehicle networking background server to perform big data analysis to obtain the latitude and longitude time sequence data can be more accurate to a certain extent.

[0122] Step 1022, generating the driving trajectory of the vehicle according to the latitude and longitude time sequence data.

[0123] In the embodiment of the present application, the driving path of the vehicle is reconstructed through the online map according to the latitude and longitude time sequence data and the map information of the location of the vehicle, and the driving trajectory of the vehicle is generated. The driving trajectory of the vehicle includes the actual driving route of the vehicle, and the map information includes the local road distribution and road shape, etc.

[0124] Optionally, the computing power of the vehicle controller is improved through a high computing platform, and the operation and processing of the latitude and longitude time sequence data are realized at the vehicle end, and the driving path of the vehicle is reconstructed through the vehicle-mounted map and the driving trajectory is generated. Of course, the vehicle networking background server can also perform big data analysis through cloud computing according to the latitude and longitude time sequence data, and a relatively complex model can be used to make the generated driving trajectory of the vehicle more accurate, and the embodiment of the present application is not limited thereto.

[0125] Step 1023, calculating the first driving distance according to the driving track.

[0126] In the embodiment of the present application, the driving track of the vehicle is generated according to the latitude and longitude data, and the actual driving distance of the vehicle in the sampling time interval is calculated, so as to obtain the first driving distance of the vehicle based on the positioning data. For example, the sampling time interval is a driving cycle, the latitude and longitude data provided by the GPS in the driving cycle is obtained, the latitude and longitude data is arranged in time sequence to obtain latitude and longitude time sequence data, the driving track of the vehicle is restored through map reconstruction according to the latitude and longitude time sequence data, and the GPS distance M of the vehicle is calculated according to the driving track. gps .

[0127] Optionally, the first driving distance is calculated by the vehicle controller according to the driving track of the vehicle. Of course, the first driving distance of the vehicle can also be calculated by the Internet of Vehicles background server in the cloud by using cloud computing according to the driving track of the vehicle, and the embodiment of the present application does not limit this.

[0128] In the embodiment of the present application, the positioning data includes the latitude and longitude data of the vehicle in the sampling time interval, the measured values in the latitude and longitude data are arranged in time sequence to obtain latitude and longitude time sequence data, the driving track of the vehicle is generated according to the latitude and longitude time sequence data, and the first driving distance is calculated according to the driving track. In this way, the driving track of the vehicle can be restored based on the latitude and longitude data, so as to accurately calculate the driving distance of the vehicle.

[0129] Optionally, the first preset condition is that the difference degree is 0; and step 105 can include the following steps:

[0130] Step 1051, in the case that the difference degree of the wheel driving distance and the first driving distance is 0 and the wheel driving distance is greater than the first driving distance, it is determined that the tire of the wheel exists a first tire pressure abnormality; the first tire pressure abnormality indicates that the tire pressure of the wheel is less than a preset standard tire pressure.

[0131] In the embodiment of the present application, the first preset condition can be that the difference degree is 0, and the difference degree of the wheel driving distance and the first driving distance not meeting the first preset condition indicates that the wheel driving distance is not equal to the first driving distance, and the tire of the wheel exists a tire pressure abnormality. In the case that the difference degree of the wheel driving distance and the first driving distance is 0 and the wheel driving distance is greater than the first driving distance, it is determined that the tire of the wheel exists a first tire pressure abnormality, and the first tire pressure abnormality indicates that the tire pressure of the wheel is less than a preset standard tire pressure. The preset standard tire pressure can be determined according to factors such as the vehicle model and the type of the tire. For example, the normal tire pressure of the vehicle is generally between 2.3-2.5BAR (BAR, unit of pressure, also referred to as "bar"), the enhanced tire pressure of the vehicle is 2.8-2.9BAR, and the highest tire pressure of the vehicle should not be greater than 3.5BAR.

[0132] In the embodiment of the present application, the first tire pressure anomaly of the tire of the wheel indicates that the tire pressure of the wheel is less than the preset standard tire pressure, which means that the wheel rotates faster than the normal tire pressure, the tire rolling radius becomes smaller, and the tire pressure is insufficient. For example, if the preset standard tire pressure is 2.4 BAR, the left front wheel mileage M1 is 350 kilometers, and the first mileage M gps is 339 kilometers, it can be seen that M1 is greater than M gps , and the tire of the left front wheel has the first tire pressure anomaly. It indicates that the tire pressure of the left front wheel is less than the preset standard tire pressure 2.4 BAR, and the tire pressure of the left front wheel is insufficient. This is just an example, and the embodiment of the present application does not limit this.

[0133] Optionally, the wheel mileage and the first mileage can be compared by the vehicle controller at the vehicle end to realize the logical judgment of the tire pressure anomaly. Of course, the cloud data processing and logical analysis can also be performed on the vehicle networking background server to perform relationship operation on the wheel mileage and the first mileage, so as to determine the tire pressure of the wheel according to the relationship operation result. The embodiment of the present application does not limit this.

[0134] In the embodiment of the present application, by comparing the wheel mileage with the first mileage, it can be determined that the tire pressure of the wheel is less than the preset standard tire pressure according to the condition that the wheel mileage is greater than the first mileage. Therefore, the monitoring effect of the insufficient tire pressure of the wheel is simply and conveniently realized.

[0135] Step 1052, in the case that the difference between the wheel mileage and the first mileage is 0 and the wheel mileage is less than the first mileage, it is determined that the tire of the wheel has a second tire pressure anomaly; the second tire pressure anomaly indicates that the tire pressure of the wheel is greater than the preset standard tire pressure.

[0136] In the embodiment of the present application, in the case that the difference between the wheel mileage and the first mileage is 0 and the wheel mileage is less than the first mileage, it is determined that the tire of the wheel has a second tire pressure anomaly, and the second tire pressure anomaly indicates that the tire pressure of the wheel is greater than the preset standard tire pressure. Wherein, the tire pressure of the wheel is greater than the preset standard tire pressure, which means that the wheel rotates slower than the normal tire pressure, the tire rolling radius becomes larger, and the tire pressure is too large. For example, if the preset standard tire pressure is 2.5 BAR, the right front wheel mileage M2 is 725 kilometers, and the first mileage M gps is 731 kilometers, it can be seen that M2 is less than M gps , and the tire of the right front wheel has the second tire pressure anomaly. It indicates that the tire pressure of the right front wheel is greater than the preset standard tire pressure 2.5 BAR, and the tire pressure of the right front wheel is too large. This is just an example, and the embodiment of the present application does not limit this.

[0137] Optionally, the wheel mileage and the first mileage can be compared by the vehicle controller at the vehicle end to realize logical judgment of the tire pressure abnormality. Of course, the cloud data processing and logical analysis can be performed at the Internet of Vehicles background server, the relationship between the wheel mileage and the first mileage is calculated, and the tire pressure condition of the wheel tire is determined according to the relationship calculation result. The embodiments of the present application do not limit this.

[0138] In the embodiments of the present application, in the case that the difference degree of the wheel mileage and the first mileage is 0 and the wheel mileage is greater than the first mileage, it is determined that the tire of the wheel has a first tire pressure abnormality, and the first tire pressure abnormality indicates that the tire pressure of the wheel is less than the preset standard tire pressure. In the case that the difference degree of the wheel mileage and the first mileage is 0 and the wheel mileage is less than the first mileage, it is determined that the tire of the wheel has a second tire pressure abnormality, and the second tire pressure abnormality indicates that the tire pressure of the wheel is greater than the preset standard tire pressure. In this way, the size relationship between the tire pressure of the wheel tire and the preset standard tire pressure can be represented according to the size relationship between the wheel mileage and the first mileage. If the wheel mileage is greater than the first mileage, it indicates that the tire pressure of the wheel tire is insufficient, and if the wheel mileage is less than the first mileage, it indicates that the tire pressure of the wheel tire is too large. The tire pressure monitoring of the vehicle is realized by software strategy, which is more simple and convenient than the method of adding a tire pressure sensor, and the tire pressure monitoring of the vehicle can be realized without adding a tire pressure monitoring sensor to the wheel, thereby reducing the implementation cost of the tire pressure monitoring.

[0139] Optionally, the wheel speed of the driven wheel can reflect the vehicle speed under normal circumstances, and the GPS speed of the vehicle can be calculated according to the positioning data such as GPS data of the vehicle. The GPS data of the vehicle in the sampling time interval is acquired, and the GPS speed of the vehicle is calculated according to the GPS data. The wheel speed of the driven wheel of the vehicle is acquired, and the wheel speed of the driven wheel is compared with the GPS speed to determine the tire pressure condition of the driven wheel according to the relationship between the wheel speed of the driven wheel and the GPS speed. If the wheel speed of the driven wheel is less than the GPS speed, it indicates that the driven wheel rotates slowly, and the tire pressure of the driven wheel is too large, and vice versa. Of course, the tire pressure condition of the driven wheel can also be determined by the relationship between the wheel speed of the driven wheel and the GPS speed, and the judgment logic is consistent with that of the driven wheel. For example, as shown in Figure 3As shown, the Internet of Vehicles background server receives the driven wheel speed obtained through the ESP system and the GPS speed calculated by the GPS data obtained through the navigation positioning system. The Internet of Vehicles background server compares the driven wheel speed with the GPS speed. If the speeds are consistent, it indicates that the tire pressure of the driven wheel is normal. If the speeds are inconsistent, the tire pressure condition of the driven wheel is determined according to the size relationship between the driven wheel speed and the GPS speed. If the driven wheel speed is greater than the GPS speed, it indicates that the tire pressure of the driven wheel is insufficient. If the driven wheel speed is less than the GPS speed, it indicates that the tire pressure of the driven wheel is too large. In the embodiment of the application, the driven wheel speed, the driving wheel speed and the GPS speed are compared, so that the specific tire with insufficient tire pressure can be accurately located, the user can accurately adjust the tire with abnormal tire pressure, and the safety of the vehicle is improved.

[0140] Optionally, before determining whether the tire of the wheel has tire pressure abnormality according to the relationship between the wheel mileage and the first mileage, or judging the tire pressure condition of the driven wheel / driving wheel according to the relationship between the wheel speed of the driven wheel / driving wheel and the GPS speed, the current position and working condition of the vehicle are obtained, and it is judged whether the position of the vehicle satisfies the first preset value and the current working condition satisfies the second preset value. The tire diameter of the wheel in the vehicle is obtained, the corresponding hub diameter is calculated according to the tire diameter of the wheel at this time, and it is judged whether the hub diameter satisfies the third preset value. The position of the vehicle can be obtained according to the navigation positioning system of the vehicle, and the working condition of the vehicle can be obtained according to the sensor system carried by the vehicle. The tire diameter of the wheel can be obtained from the tire specification data input by the user in advance, or can be obtained by calculating the wheel speed, of course, the position and working condition of the vehicle and the tire diameter of the wheel can also be obtained by other ways, which are only examples and the embodiment of the application does not limit them. The first preset value can represent a position where the tire replacement demand value is higher than the preset standard, for example, the first preset value can represent a high-altitude area with atmospheric pressure greater than the standard atmospheric pressure, such as mountainous area, plateau, or an environment temperature higher than 40 degrees Celsius or lower than minus 30 degrees Celsius, which are only examples and the embodiment of the application does not limit them. The second preset value can represent a working condition where the tire replacement demand value is higher than the preset standard, for example, mountainous working condition, sandy working condition, snowy working condition, and the like, which are not limited by the embodiment of the application.

[0141] Further, the third preset value can be a standard size of a hub of the tire in the vehicle, where the standard size of the hub can be a hub diameter corresponding to the tire equipped by the vehicle originally. If the hub diameter is less than the third preset value, it can be determined that the tire is replaced by a tire less than the standard size, and if the hub diameter is greater than the third preset value, it can be determined that the tire is replaced by a tire greater than the standard size. For example, if the hub diameter corresponding to the tire equipped by the vehicle originally is 18 inches, the third preset value is 18 inches, and if the hub diameter calculated according to the tire diameter of the wheel at this time is 19 inches, it is determined that the tire is replaced by a tire greater than the standard size. Further, if the location of the vehicle satisfies the first preset value and the working condition satisfies the second preset value, it can be determined that the current location of the vehicle and the working condition of the vehicle currently have a high possibility of requiring replacement of the tire. Therefore, it can also be determined that, in the case where the location of the vehicle satisfies the first preset value, the working condition satisfies the second preset value, and the hub diameter is less than the third preset value, because the current tire is replaced by a tire less than the standard size, the wheel will rotate faster than the standard size of the tire, and thus the wheel mileage will be biased large. In the case where the location of the vehicle satisfies the first preset value, the working condition satisfies the second preset value, and the hub diameter is greater than the third preset value, it is determined that because the current tire is replaced by a tire greater than the standard size, the wheel will rotate slower than the standard size of the tire, and thus the wheel mileage will be biased small.

[0142] That is, in the case where the location of the vehicle satisfies the first preset value, the working condition satisfies the second preset value, and the hub diameter is less than the third preset value, the wheel speed and the wheel mileage will be biased large by themselves. Therefore, in this case, the calculated wheel speed and wheel mileage can be corrected to reduce the specific values of the wheel speed and the wheel mileage. After correction, the corrected wheel speed is compared with the GPS speed, or the corrected wheel mileage is compared with the first mileage. Further, in the case where the location of the vehicle satisfies the first preset value, the working condition satisfies the second preset value, and the hub diameter is greater than the third preset value, the wheel speed and the wheel mileage will be biased small by themselves. Therefore, in this case, the calculated wheel speed and wheel mileage can be corrected to increase the specific values of the wheel speed and the wheel mileage. After correction, the corrected wheel speed is compared with the GPS speed to determine the size relationship between the corrected wheel speed and the GPS speed, thereby achieving tire pressure monitoring. Or, the corrected wheel mileage is compared with the first mileage to determine the size relationship between the corrected wheel mileage and the first mileage, thereby achieving tire pressure monitoring.

[0143] Specifically, when the correction is performed, an absolute value of a difference between the current hub diameter and the standard hub size can be calculated, and a correction amount can be determined according to the absolute value. The correction amount can be positively correlated with the absolute value, and the correction amount can include a speed correction amount and / or a mileage correction amount. For example, a corresponding relationship between the absolute value and the correction amount can be set in advance, and the correction amount required this time can be determined by searching the corresponding relationship. Then, in a case where the position of the vehicle meets a first preset value, the working condition meets a second preset value, and the hub diameter is less than a third preset value, the calculated wheel speed is reduced by the speed correction amount, and the wheel mileage is reduced by the mileage correction amount. In a case where the position of the vehicle meets the first preset value, the working condition meets the second preset value, and the hub diameter is greater than the third preset value, the calculated wheel speed is increased by the speed correction amount, and the wheel mileage is increased by the mileage correction amount. In this way, after the correction, the comparison can eliminate the misjudgment caused by the tire replacement, and thus the accuracy of the tire pressure monitoring can be improved.

[0144] Optionally, after determining that the tire of the vehicle wheel has the tire pressure abnormality, the method further includes:

[0145] Step 301: In a case where it is determined that the tire of the vehicle wheel has the first tire pressure abnormality, outputting a first tire pressure abnormality alarm signal and displaying first tire pressure abnormality information of the vehicle wheel.

[0146] In the embodiment of the application, when the tire of the vehicle wheel has the first tire pressure abnormality, the tire pressure of the vehicle wheel is less than a preset standard tire pressure, and the tire pressure of the vehicle wheel is insufficient. In a case where it is determined that the tire of the vehicle wheel has the first tire pressure abnormality, a first tire pressure abnormality alarm signal is outputted, and first tire pressure abnormality information of the vehicle wheel is displayed. The first tire pressure abnormality alarm signal can be used to alarm and remind the driver through a tire pressure alarm lamp, and the tire pressure alarm lamp is bright, which indicates that the tire with the tire pressure abnormality exists in the vehicle wheel. The first tire pressure abnormality information can include which specific vehicle wheel or vehicle wheels of the four vehicle wheels have the tire pressure abnormality, and the tire pressure of the corresponding vehicle wheel is insufficient or excessively large, which is not limited in the embodiment of the application. In the embodiment of the application, in a case where the tire of the vehicle wheel has the first tire pressure abnormality, the first tire pressure abnormality information can be displayed on a vehicle display screen such as a central control screen, a combination instrument panel, etc., to inform the driver to adjust the tire pressure of the vehicle wheel. This is only an example, and the embodiment of the application is not limited thereto.

[0147] Optionally, the tire pressure alarm lamp can be controlled by the vehicle controller to output the first tire pressure abnormality alarm signal, and the central control screen of the vehicle can be controlled to display the first tire pressure abnormality information. Of course, the vehicle networking background server can also determine that the tire of the vehicle wheel has the first tire pressure abnormality, and then send a first tire pressure abnormality alarm instruction to the vehicle. After the vehicle receives the first tire pressure abnormality alarm instruction, the first tire pressure abnormality alarm signal is outputted and the first tire pressure abnormality information of the vehicle wheel is displayed. The first tire pressure abnormality alarm instruction contains the first tire pressure abnormality information. This is just an example, and the embodiments of the present application do not limit this.

[0148] In this way, by monitoring the tire pressure of the vehicle in real time, the driver can be alerted when the tire pressure of the tire is insufficient, and the driver can be notified to inflate the tire, so as to reduce or avoid traffic accidents caused by insufficient tire pressure, thereby improving the driving safety of the vehicle.

[0149] Step 302, in a case where it is determined that the tire of the vehicle wheel has the second tire pressure abnormality, a second tire pressure abnormality alarm signal is outputted and second tire pressure abnormality information of the vehicle wheel is displayed.

[0150] In the embodiments of the present application, when the tire of the vehicle wheel has the second tire pressure abnormality, it means that the tire pressure of the vehicle wheel is greater than the preset standard tire pressure, and the tire pressure of the vehicle wheel is too large. In a case where it is determined that the tire of the vehicle wheel has the second tire pressure abnormality, a second tire pressure abnormality alarm signal is outputted and second tire pressure abnormality information of the vehicle wheel is displayed. The second tire pressure abnormality alarm signal can alert the driver through the tire pressure alarm lamp, and the tire pressure alarm lamp is on, indicating that the vehicle wheel has a tire with abnormal tire pressure. The second tire pressure abnormality information can include which specific wheel or wheels of the four wheels have abnormal tire pressure, and whether the tire pressure of the corresponding vehicle wheel is insufficient or too large, and the embodiments of the present application do not limit this. In the embodiments of the present application, in a case where the tire of the vehicle wheel has the second tire pressure abnormality, the second tire pressure abnormality information can be displayed on the vehicle display screen such as the central control screen, the combination instrument panel, etc., to notify the driver to adjust the tire pressure of the vehicle wheel. This is just an example, and the embodiments of the present application do not limit this.

[0151] Optionally, the tire pressure alarm lamp can be controlled by the vehicle controller to output the second tire pressure abnormality alarm signal, and the central control screen of the vehicle can be controlled to display the second tire pressure abnormality information. Of course, the vehicle networking background server can also determine that the tire of the vehicle wheel has the second tire pressure abnormality, and then send a second tire pressure abnormality alarm instruction to the vehicle. After the vehicle receives the second tire pressure abnormality alarm instruction, the second tire pressure abnormality alarm signal is outputted and the second tire pressure abnormality information of the vehicle wheel is displayed. The second tire pressure abnormality alarm instruction contains the second tire pressure abnormality information. This is just an example, and the embodiments of the present application do not limit this.

[0152] In the embodiment of the present application, in the case that the tire of the vehicle wheel has the first tire pressure abnormality, a first tire pressure abnormality alarm signal is outputted and the first tire pressure abnormality information of the vehicle wheel is displayed, and in the case that the tire of the vehicle wheel has the second tire pressure abnormality, a second tire pressure abnormality alarm signal is outputted and the second tire pressure abnormality information of the vehicle wheel is displayed. In this way, the driver can be reminded of the tire pressure abnormality alarm, and the driver can be informed to timely adjust the tire pressure according to the tire pressure abnormality information, so as to prevent tire failure and improve the safety performance of the vehicle, and protect the life and property safety of the driver.

[0153] Optionally, the Internet of Vehicles server can acquire real-time temperature and pressure information of the local area, determine a correction coefficient based on the difference between the external temperature and the normal temperature environment, for example, 25℃, and the difference between the pressure corresponding to the local altitude and the standard atmospheric pressure, and adjust the value of the preset standard tire pressure. Wherein, when the ambient temperature rises and the vehicle is in a high altitude area, the tire pressure of the vehicle wheel is prone to rise. The Internet of Vehicles server can also issue a tire pressure adjustment instruction to the vehicle when the external temperature and pressure change, and timely inform the customer to adjust the tire pressure of the vehicle wheel. Here, only an example is given, and the embodiment of the present application is not limited thereto.

[0154] In the embodiment of the present application, the wheel speed, vehicle speed and positioning data can be uploaded to the Internet of Vehicles server, and the vehicle manufacturer can provide differentiated information prompts for customers with different tire pressures, and develop different functions of cloud big data based on the tire running conditions of different customers, to improve the driving experience of customers.

[0155] Figure 4 A block diagram of a vehicle tire pressure monitoring device according to an embodiment of the present application is shown in FIG. 1. Figure 4 As shown in FIG. 1, the vehicle tire pressure monitoring device comprises:

[0156] A first acquisition module 401 is configured to acquire positioning data of a vehicle in a sampling time interval.

[0157] A first calculation module 402 is configured to calculate a first driving distance of the vehicle in the sampling time interval according to the positioning data.

[0158] A second acquisition module 403 is configured to acquire wheel speed of a vehicle wheel of the vehicle in the sampling time interval.

[0159] A second calculation module 404 is configured to calculate a wheel driving distance of the vehicle wheel in the sampling time interval according to the wheel speed of the vehicle wheel.

[0160] A first determination module 405 is configured to determine that the tire of the vehicle wheel has a tire pressure abnormality in the case that the difference between the wheel driving distance and the first driving distance does not meet a first preset condition.

[0161] Optionally, the device further comprises:

[0162] a third obtaining module, configured to obtain a vehicle speed of the vehicle in the sampling time interval before the second obtaining module 403 obtains the wheel speeds of the wheels in the vehicle in the sampling time interval;

[0163] a third calculating module, configured to calculate a second driving distance of the vehicle in the sampling time interval according to the vehicle speed;

[0164] a second determining module, configured to determine that the vehicle has a tire pressure abnormal tire if a difference degree of the second driving distance and the first driving distance does not meet a first preset condition;

[0165] The second obtaining module 403 is specifically configured to obtain the wheel speeds of the wheels in the vehicle in the sampling time interval if the second determining module determines that the vehicle has a tire pressure abnormal tire.

[0166] Optionally, the wheel speeds of the wheels include a plurality of wheel speeds obtained by sampling in the sampling time interval at a sampling time interval, and the vehicle speed includes a plurality of vehicle speeds obtained by sampling in the sampling time interval at the sampling time interval, and the second calculating module 404 is specifically configured to:

[0167] multiply the plurality of wheel speeds by the sampling time interval respectively and sum up to obtain a wheel driving distance of the wheel in the sampling time interval;

[0168] The third calculating module is specifically configured to multiply the plurality of vehicle speeds by the sampling time interval respectively and sum up to obtain the second driving distance of the vehicle in the sampling time interval.

[0169] Optionally, the positioning data includes latitude and longitude data of the vehicle in the sampling time interval, and the first calculating module 402 is specifically configured to:

[0170] arrange measurement values in the latitude and longitude data according to measurement time sequences to obtain latitude and longitude time sequence data;

[0171] generate a driving track of the vehicle according to the latitude and longitude time sequence data;

[0172] calculate the first driving distance according to the driving track.

[0173] Optionally, the first preset condition is that the difference degree is 0, and the first determining module 405 is specifically configured to:

[0174] In a case that the difference between the wheel running mileage and the first running mileage is 0 and the wheel running mileage is greater than the first running mileage, it is determined that the tire of the wheel has a first tire pressure abnormality; the first tire pressure abnormality indicates that the tire pressure of the wheel is less than a preset standard tire pressure.

[0175] In a case that the difference between the wheel running mileage and the first running mileage is 0 and the wheel running mileage is less than the first running mileage, it is determined that the tire of the wheel has a second tire pressure abnormality; the second tire pressure abnormality indicates that the tire pressure of the wheel is greater than the preset standard tire pressure.

[0176] Optionally, the device further comprises:

[0177] The first output module is configured to output a first tire pressure abnormality alarm signal and display first tire pressure abnormality information of the wheel in a case that the first determination module 405 determines that the tire of the wheel has a first tire pressure abnormality.

[0178] The second output module is configured to output a second tire pressure abnormality alarm signal and display second tire pressure abnormality information of the wheel in a case that the first determination module 405 determines that the tire of the wheel has a second tire pressure abnormality.

[0179] The vehicle tire pressure monitoring device has the same advantages as the vehicle tire pressure monitoring method described above, and thus will not be described here.

[0180] Another object of the present application is to provide a vehicle to solve the problem of high cost caused by directly measuring the tire pressure by adding a tire pressure monitoring sensor.

[0181] The vehicle is provided with the vehicle tire pressure monitoring device described above, and is configured to execute the vehicle tire pressure monitoring method described above.

[0182] The vehicle has the same advantages as the vehicle tire pressure monitoring method and the vehicle tire pressure monitoring device described above, and thus will not be described here.

[0183] The above description is only preferred embodiments of the present application and is not used to limit the present application, and any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

[0184] It should be noted that the acquisition of various data related processes in the embodiments of the present application is performed under the premise of complying with the corresponding data protection regulations and policies of the local country and obtaining the authorization given by the corresponding device owner.

Claims

1. A vehicle tire pressure monitoring method characterized by, The method comprises: acquiring positioning data of a vehicle in a sampling time interval; calculating a first driving distance of the vehicle in the sampling time interval according to the positioning data; acquiring wheel speeds of wheels in the vehicle in the sampling time interval; calculating a wheel driving distance of the wheels in the sampling time interval according to the wheel speeds of the wheels; in a case where a difference between the wheel driving distance and the first driving distance does not meet a first preset condition, determining that a tire of the wheels has a tire pressure abnormality; wherein, before the acquiring of the wheel speeds of the wheels in the vehicle in the sampling time interval, the method further comprises: acquiring a vehicle speed of the vehicle in the sampling time interval; calculating a second driving distance of the vehicle in the sampling time interval according to the vehicle speed; in a case where a difference between the second driving distance and the first driving distance does not meet a first preset condition, determining that the vehicle has a tire with a tire pressure abnormality; the acquiring of the wheel speeds of the wheels in the vehicle in the sampling time interval comprises: in a case where the vehicle has a tire with a tire pressure abnormality, acquiring the wheel speeds of the wheels in the vehicle in the sampling time interval; wherein, before the determining that the wheels have the tire pressure abnormality in the case where the difference between the wheel driving distance and the first driving distance does not meet the first preset condition, the method further comprises: acquiring a current position and a current working condition of the vehicle, and determining whether the current position of the vehicle meets a first preset value and whether the current working condition meets a second preset value; the first preset value represents a position where a tire replacement requirement value is higher than a preset standard, including a high-altitude area where the air pressure is greater than the standard atmospheric pressure, a high-temperature environment where the ambient temperature is higher than 40 degrees Celsius, and a low-temperature environment where the ambient temperature is lower than minus 30 degrees Celsius; the second preset value represents a working condition where the tire replacement requirement value is higher than the preset standard, including a mountain working condition, a sandy working condition, and a snowy working condition; acquiring a tire diameter of the wheels in the vehicle, calculating a corresponding hub diameter according to the tire diameter of the wheels at this time, and determining whether the hub diameter meets a third preset value; the third preset value is a standard size of the hub of the tire in the vehicle; when the current position of the vehicle meets the first preset value and the current working condition meets the second preset value, if the hub diameter is less than the third preset value, the wheel speed and the wheel driving distance calculated are corrected to reduce the specific values of the wheel speed and the wheel driving distance; if the hub diameter is greater than the third preset value, the wheel speed and the wheel driving distance calculated are corrected to increase the specific values of the wheel speed and the wheel driving distance.

2. The method of claim 1, wherein, The wheel speeds of the wheels comprise a plurality of wheel speeds sampled in the sampling time interval at a sampling time interval, the vehicle speed of the vehicle comprises a plurality of vehicle speeds sampled in the sampling time interval at the sampling time interval, and the calculation of the wheel driving distance of the wheels in the sampling time interval according to the wheel speeds of the wheels comprises: multiply the plurality of wheel speeds by the sampling time interval respectively and sum up to obtain a wheel travel mileage of the wheel in the sampling time interval; the second travel mileage of the vehicle in the sampling time interval is calculated according to the vehicle speed, comprising: multiply the plurality of vehicle speeds by the sampling time interval respectively and sum up to obtain the second travel mileage of the vehicle in the sampling time interval.

3. The method according to any of claims 1-2, characterized by, The positioning data includes the latitude and longitude data of the vehicle in the sampling time interval, and the first travel mileage of the vehicle in the sampling time interval is calculated according to the positioning data, comprising: arranging the measured values in the latitude and longitude data according to the measurement time sequence to obtain latitude and longitude time sequence data; generating a travel trajectory of the vehicle according to the latitude and longitude time sequence data; calculate the first travel mileage according to the travel trajectory.

4. The method according to any of claims 1-2, characterized by, The first preset condition is that the difference degree is 0; In the case that the difference degree between the wheel travel mileage and the first travel mileage does not meet the first preset condition, it is determined that the tire of the wheel exists tire pressure abnormality, comprising: In the case that the difference degree between the wheel travel mileage and the first travel mileage is 0 and the wheel travel mileage is greater than the first travel mileage, it is determined that the tire of the wheel exists first tire pressure abnormality; The first tire pressure abnormality indicates that the tire pressure of the wheel is less than the preset standard tire pressure; In the case that the difference degree between the wheel travel mileage and the first travel mileage is 0 and the wheel travel mileage is less than the first travel mileage, it is determined that the tire of the wheel exists second tire pressure abnormality; The second tire pressure abnormality indicates that the tire pressure of the wheel is greater than the preset standard tire pressure.

5. The method of claim 4, wherein, After determining that the tire of the wheel exists tire pressure abnormality, the method further comprises: In the case that it is determined that the tire of the wheel exists first tire pressure abnormality, output first tire pressure abnormality alarm signal and display first tire pressure abnormality information of the wheel; In the case that it is determined that the tire of the wheel exists second tire pressure abnormality, output second tire pressure abnormality alarm signal and display second tire pressure abnormality information of the wheel.

6. A vehicle tire pressure monitoring device characterized by comprising: The device comprises: a first acquisition module for acquiring positioning data of a vehicle in a sampling time interval; a first calculation module for calculating a first travel mileage of the vehicle in the sampling time interval according to the positioning data; a second acquisition module for acquiring wheel speed of a wheel in the vehicle in the sampling time interval; a second calculation module for calculating a wheel travel mileage of the wheel in the sampling time interval according to the wheel speed of the wheel; The first determining module is configured to determine that the tire of the wheel has a tire pressure abnormality when a difference between the wheel mileage and the first mileage does not meet a first preset condition; wherein, before determining that the tire of the wheel has the tire pressure abnormality when the difference between the wheel mileage and the first mileage does not meet the first preset condition, the method further comprises: obtaining a current position and a current working condition of the vehicle, and determining whether the current position of the vehicle meets a first preset value and whether the current working condition meets a second preset value; the first preset value represents a position where a tire replacement requirement value is higher than a preset standard, including a high-altitude area where the air pressure is greater than the standard atmospheric pressure, a high-temperature environment where the ambient temperature is higher than 40 degrees Celsius, and a low-temperature environment where the ambient temperature is lower than minus 30 degrees Celsius; the second preset value represents a working condition where the tire replacement requirement value is higher than the preset standard, including a mountain working condition, a sandy working condition, and a snowy working condition; obtaining a tire diameter of a wheel in the vehicle, calculating a corresponding hub diameter according to the tire diameter of the wheel at this time, and determining whether the hub diameter meets a third preset value; the third preset value is a standard size of a hub of a tire in the vehicle; when the current position of the vehicle meets the first preset value and the current working condition meets the second preset value, if the hub diameter is less than the third preset value, the calculated wheel speed and wheel mileage are corrected to reduce the specific values of the wheel speed and the wheel mileage; if the hub diameter is greater than the third preset value, the calculated wheel speed and wheel mileage are corrected to increase the specific values of the wheel speed and the wheel mileage; The third obtaining module is configured to obtain a vehicle speed of the vehicle in the sampling time interval before the second obtaining module obtains the wheel speed of the wheel in the vehicle in the sampling time interval; The third calculating module is configured to calculate a second mileage of the vehicle in the sampling time interval according to the vehicle speed; The second determining module is configured to determine that the vehicle has a tire with a tire pressure abnormality when a difference between the second mileage and the first mileage does not meet a first preset condition; The second obtaining module is specifically configured to obtain the wheel speed of the wheel in the vehicle in the sampling time interval when the second determining module determines that the vehicle has a tire with a tire pressure abnormality.

7. The apparatus of claim 6, wherein, The wheel speed of the wheel includes a plurality of wheel speeds obtained by sampling in the sampling time interval at a sampling time interval, the vehicle speed of the vehicle includes a plurality of vehicle speeds obtained by sampling in the sampling time interval at the sampling time interval, and the second calculating module is specifically configured to: multiply the plurality of wheel speeds by the sampling time interval respectively and sum them up to obtain the wheel mileage of the wheel in the sampling time interval; The third calculating module is specifically configured to: multiply the plurality of vehicle speeds by the sampling time interval respectively and sum them up to obtain the second mileage of the vehicle in the sampling time interval.

8. A vehicle characterized by comprising: The vehicle is provided with the vehicle tire pressure monitoring device as claimed in any one of claims 6-7, and is used to execute the vehicle tire pressure monitoring method as claimed in any one of claims 1-5.

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