Commercial vehicle intelligent tire test system and method

Abstract

The invention discloses a commercial vehicle intelligent tire testing system and method, and relates to the technical field of commercial vehicle tire testing, the system comprises an intelligent tire assembly, a data collector and an upper computer terminal, the intelligent tire assembly is used for collecting operation condition parameters of a tire, including pressure, temperature and radial acceleration; a vertical load estimation model and an abrasion estimation model are arranged in the data collector, the vertical load estimation model is used for performing real-time operation on the operation condition parameters to obtain a vertical load estimation result, and the abrasion estimation model is used for performing real-time operation on the operation condition parameters to obtain an abrasion estimation result; the upper computer end is used for displaying and recording the operation condition parameters, the vertical load estimation result and the abrasion estimation result in real time, and performing remote control and parameter setting on the working states of the intelligent tire assembly and the data collector; according to the application, operation condition parameter acquisition, model online estimation and real-time display and recording of key performance parameters such as vertical load and abrasion can be realized.

Description

Technical Field

[0001] This application relates to the field of commercial vehicle tire testing technology, and in particular to an intelligent tire testing system and method for commercial vehicles. Background Technology

[0002] With the increasing scale of fleet operations and the intensity of road transport, safety accidents and downtime losses caused by tire failures are becoming increasingly prominent. Therefore, testing tires for pressure and other parameters is particularly important.

[0003] TPMS (Tire Pressure Monitoring System) is a system that automatically monitors tire pressure in real time during vehicle operation and issues alarms for tire leaks and low pressure. Currently, existing TPMS systems primarily monitor pressure and temperature, making it difficult to reflect changes in key performance parameters such as vertical load and wear over time and under operating conditions, thus failing to meet the needs of R&D testing, road verification, and operation and maintenance management. Therefore, there is an urgent need to design an intelligent tire testing system and method for commercial vehicles to achieve the acquisition of operating condition parameters, online model estimation, and real-time display and recording of key performance parameters such as vertical load and wear, thereby meeting the needs of R&D testing, road verification, and operation and maintenance management. Summary of the Invention

[0004] The purpose of this application is to provide an intelligent tire testing system and method for commercial vehicles, which can realize the acquisition of operating condition parameters, online model estimation, and real-time display and recording of key performance parameters such as vertical load and wear.

[0005] To achieve the above objectives, this application provides the following solution.

[0006] In a first aspect, this application provides a smart tire testing system for commercial vehicles, which includes: a smart tire component, a data acquisition unit, and a host computer. The smart tire component is wirelessly connected to the data acquisition unit, and the data acquisition unit is also connected to the host computer.

[0007] The intelligent tire assembly is used to collect tire operating condition parameters and send the operating condition parameters to the data acquisition device; the operating condition parameters include: pressure, temperature and radial acceleration.

[0008] The data acquisition device has a built-in vertical load estimation model and a wear estimation model. The vertical load estimation model is used to perform real-time calculations on the operating condition parameters to obtain the vertical load estimation result, and the wear estimation model is used to perform real-time calculations on the operating condition parameters to obtain the wear estimation result. The data acquisition device is used to send the operating condition parameters, the vertical load estimation result, and the wear estimation result to the host computer.

[0009] The host computer is used to display and record the operating condition parameters, the vertical load estimation results, and the wear estimation results in real time, and to remotely control and set the working status and parameters of the intelligent tire assembly and the data acquisition device.

[0010] Optionally, the smart tire assembly includes: a commercial vehicle wheel rim, a commercial vehicle tire, and an inner tube unit.

[0011] The commercial vehicle wheel rim and the commercial vehicle tire together form a tire frame, and the inner tire unit is disposed inside the commercial vehicle tire.

[0012] The in-tire unit includes a pressure sensor, a temperature sensor, an acceleration sensor, and a first communication module. The pressure sensor, the temperature sensor, and the acceleration sensor are used to collect the tire's pressure, temperature, and radial acceleration, respectively, and transmit them to the data acquisition unit via the first communication module.

[0013] Optionally, the smart tire assembly further includes an adapter.

[0014] The adapter is mounted on the tire frame.

[0015] The adapter is used to: fix the smart tire assembly to the test bench in a bench test scenario to calibrate the vertical load estimation model and the wear estimation model, and to verify the performance of the smart tire assembly; and to provide an external sensor mounting interface in a real vehicle test scenario, wherein the external sensor mounting interface is used to obtain comparison parameters, and the comparison parameters are used to compare and verify with the vertical load estimation results and the wear estimation results.

[0016] Optionally, the smart tire assembly further includes a modified valve stem.

[0017] The modified valve stem is mounted on the rim of the commercial vehicle wheel. The modified valve stem has an anti-loosening structure, which is used to ensure the airtightness of the commercial vehicle tires during vehicle operation.

[0018] Optionally, the smart tire assembly further includes a power supply module.

[0019] The power supply module includes a power supply module and a power supply module support. The power supply module support is fixed to the wheel rim of the commercial vehicle, and the power supply module is fixed to the power supply module support.

[0020] The power supply module is used to supply power to the tire inner unit through the modified valve stem.

[0021] The modified valve stem also has an electrical connection function to ensure that the power supply module provides stable power to the in-tire unit during vehicle operation.

[0022] Optionally, the data acquisition device includes: an external module and a second communication module.

[0023] The second communication module establishes a communication link with the first communication module. The second communication module is used to receive the operating condition parameters transmitted by the first communication module and send them to the tire module.

[0024] The tire module has the vertical load estimation model and the wear estimation model built in. The tire module is used to calculate the vertical load estimation result and the wear estimation result in real time using the vertical load estimation model and the wear estimation model respectively, and send the operating condition parameters, the vertical load estimation result and the wear estimation result to the host computer.

[0025] Optionally, the vertical load estimation model is constructed based on pressure, temperature, and radial acceleration parameters, and the model coefficients are optimized using tire characteristic parameters calibrated through bench tests.

[0026] The wear estimation model is constructed based on the estimation results of vehicle speed, pressure, temperature, radial acceleration, and vertical load.

[0027] Optionally, the data acquisition device also has an anomaly detection function. When the operating condition parameters, the vertical load estimation result, or the wear estimation result are detected to exceed the threshold range set by the host computer, an alarm message is automatically generated and the alarm message is synchronously sent to the host computer.

[0028] Optionally, the host computer is also used to optimize the parameters and update the version of the vertical load estimation model and the wear estimation model. When the model parameters of the vertical load estimation model and the wear estimation model need to be optimized, the updated model parameters are transmitted to the data acquisition device through a wireless link to realize the iterative upgrade of the vertical load estimation model and the wear estimation model.

[0029] Secondly, this application proposes a smart tire testing method for commercial vehicles, which is implemented based on the smart tire testing system for commercial vehicles described in the first aspect, and includes the following steps.

[0030] The operating parameters of the tire are collected; the operating parameters include: pressure, temperature and radial acceleration.

[0031] The operating condition parameters are calculated in real time to obtain the vertical load estimation result and the wear estimation result.

[0032] The operating condition parameters, the vertical load estimation results, and the wear estimation results are displayed and recorded in real time.

[0033] According to the specific embodiments provided in this application, this application has the following technical effects.

[0034] This application provides an intelligent tire testing system and method for commercial vehicles. Firstly, the intelligent tire assembly can collect operating condition parameters such as pressure, temperature, and radial acceleration. The data acquisition unit further calculates the vertical load estimation result and wear estimation result through built-in vertical load estimation model and wear estimation model. Compared with traditional solutions that can only monitor pressure and temperature, this application not only monitors pressure, temperature, and radial acceleration, but also achieves comprehensive coverage and real-time display and recording of key tire performance indicators such as vertical load and wear. This achieves the goals of collecting operating condition parameters, online model estimation, and real-time display and recording of key performance parameters such as vertical load and wear, providing a more accurate and comprehensive reflection of the tire's real-time operating status and offering more sufficient data support for tire testing and safety assessment. Secondly, the intelligent tire assembly and data acquisition unit, as well as the data acquisition unit and the host computer, are all wirelessly connected, eliminating the need for complex wired wiring. This avoids the problems of wire wear and adaptation difficulties associated with traditional wired connections, allowing for rapid system deployment on different commercial vehicles and wheel positions. It also reduces interference from wiring faults during vehicle operation, improving the system's applicability across various scenarios. Furthermore, since the data acquisition unit has built-in vertical load estimation and wear estimation models, it can perform real-time calculations on the collected operating condition parameters without relying on a host computer for core data processing, significantly shortening the time lag from parameter acquisition to result output. Simultaneously, the model estimation results and the original operating condition parameters can be sent to the host computer synchronously, ensuring that testers can obtain tire status data promptly and improving real-time decision-making efficiency during testing. In addition, the host computer can display and record operating condition parameters and model estimation results in real time, facilitating intuitive viewing and subsequent traceability of test data. It also supports remote control and parameter setting of the intelligent tire components and data acquisition unit's operating status, eliminating the need for on-site adjustments by testers, reducing manual intervention, lowering labor costs, and avoiding interference from on-site operations, thus improving the stability and ease of management of the testing process. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 This is a structural block diagram of an intelligent tire testing system for commercial vehicles provided in one embodiment of this application.

[0037] Figure 2 This is a schematic diagram of the external structure of a smart tire assembly provided in an embodiment of this application.

[0038] Figure 3 This is a schematic diagram of the internal structure of a smart tire assembly provided in an embodiment of this application.

[0039] Figure 4 This is a software functional block diagram of an external module provided in an embodiment of this application.

[0040] Figure 5 This is a schematic diagram of the host computer's functional interface and data flow provided in an embodiment of this application.

[0041] Figure 6 This is a flowchart illustrating a smart tire testing method for commercial vehicles, provided as an embodiment of this application.

[0042] Reference numerals: 1-Commercial vehicle tire; 2-Commercial vehicle wheel rim; 3-Modified valve stem; 4-Power supply module; 5-Adapter; 6-Power supply module support; 7-Inner tire unit; 8-Sheet. Detailed Implementation

[0043] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0044] The purpose of this application is to provide an intelligent tire testing system and method for commercial vehicles, applicable to tire condition monitoring, model calibration and verification throughout the entire tire lifecycle, including online estimation and management of conditions such as vertical load and wear. Through the modular structure inside and outside the tire and reliable power supply, it realizes the acquisition of basic working conditions such as tire pressure, temperature and radial acceleration, and embeds vertical load and wear estimation models in the tire external module. It supports calibration and comparative verification in both bench and real vehicle modes, thereby realizing real-time monitoring, early warning and full lifecycle management of tire condition.

[0045] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0046] like Figure 1As shown in the figure, this embodiment proposes an intelligent tire testing system for commercial vehicles. The system includes an intelligent tire assembly, a data acquisition unit, and a host computer. The intelligent tire assembly is wirelessly connected to the data acquisition unit, which is also connected to the host computer.

[0047] The intelligent tire assembly is used to collect tire operating condition parameters and send these parameters to the data acquisition unit. The operating condition parameters include: pressure, temperature, and radial acceleration.

[0048] The data acquisition device has a built-in vertical load estimation model and a wear estimation model. The vertical load estimation model is used to perform real-time calculations on the operating condition parameters to obtain the vertical load estimation result, and the wear estimation model is used to perform real-time calculations on the operating condition parameters to obtain the wear estimation result. The data acquisition device is used to send the operating condition parameters, the vertical load estimation result, and the wear estimation result to the host computer.

[0049] The host computer is used to display and record the operating condition parameters, the vertical load estimation results, and the wear estimation results in real time, and to remotely control and set the working status and parameters of the intelligent tire assembly and the data acquisition device.

[0050] As an optional implementation method, such as Figure 2 and Figure 3 As shown, the intelligent tire assembly includes: a commercial vehicle tire 1, a commercial vehicle wheel rim 2, a modified valve stem 3, a power supply module 4, an adapter 5, a power supply module support 6, an inner tire unit 7, and a tire sleeve 8.

[0051] The commercial vehicle wheel rim 2 and the commercial vehicle tire 1 form a tire frame, and the inner tire unit 7 is disposed inside the commercial vehicle tire 1.

[0052] The tire in-tire unit 7 includes a pressure sensor, a temperature sensor, an acceleration sensor, and a first communication module. The pressure sensor, the temperature sensor, and the acceleration sensor are used to collect the tire's pressure, temperature, and radial acceleration, respectively, and transmit them to the data acquisition unit via the first communication module.

[0053] As an optional implementation, the adapter 5 is disposed on the tire frame. The adapter 5 is used for: in a bench test scenario, fixing the smart tire assembly to a test bench to calibrate the vertical load estimation model and the wear estimation model, and to verify the performance of the smart tire assembly; in a real vehicle test scenario, providing an external sensor mounting interface for acquiring comparison parameters, which are then compared and verified with the vertical load estimation results and the wear estimation results.

[0054] Among them, bench testing and real vehicle testing are two common testing scenarios in the commercial vehicle tire testing industry. They are not independent, but rather have a collaborative and progressive relationship. First, the basic calibration and performance screening of the system are completed through bench testing in the bench testing scenario. Then, the adaptability to real working conditions and the model are verified through real vehicle testing in the real vehicle testing scenario. Ultimately, this ensures that the intelligent tire system can meet the accuracy requirements of the laboratory and adapt to the complex operating environment of real vehicles.

[0055] Among them, the bench test scenario refers to the scenario in which the intelligent tire system is tested in a standardized and controllable manner on a laboratory-specific testing equipment (tire comprehensive performance bench) by simulating the actual operating conditions (such as load, speed, and temperature) of a commercial vehicle tire 1. The core purpose is to complete model calibration, performance verification, and basic parameter calibration.

[0056] The bench test scenario includes the following main characteristics.

[0057] (1) Controllable environment: The test environment (temperature, humidity, road surface simulation material) is precisely controlled by the test bench equipment, which can eliminate complex interference factors such as wind, rain, and uneven road surface, ensuring the repeatability and comparability of test data.

[0058] (2) Working conditions can be preset: Test parameters can be precisely set through the bench control system, such as the following test parameters.

[0059] 1) Vertical load (0~3.5t, simulating no load, half load, and full load).

[0060] 2) Simulated vehicle speed (0~90km / h, covering commonly used driving speeds for commercial vehicles).

[0061] 3) Road surface simulation (simulating the friction coefficient of asphalt and cement road surfaces through the surface material of the roller on the test bench).

[0062] (3) Data traceability: The test bench is equipped with high-precision standard sensors (such as force sensors and displacement sensors) and mechanical grinding, which can output true-value reference data (such as actual vertical load and accurate wear amount) as a calibration benchmark for the estimation results of the intelligent tire system.

[0063] Real-vehicle testing scenarios refer to the installation of intelligent tire systems that have passed bench calibration on actual commercial vehicles and testing them on real roads (such as highways, national roads, and mountain roads) and under actual operating conditions (such as fully loaded freight, long-distance driving, and frequent start-stop). The core purpose is to verify the applicability of the system in complex real-world environments, the practicality of the model estimation accuracy, and to complete data closed-loop iteration.

[0064] The real-vehicle testing scenario includes the following main characteristics.

[0065] (1) The environment is real and complex: directly facing the uncertainties in the actual operation of the vehicle, such as the following factors.

[0066] 1) Road surface fluctuations (potholes, slope changes), ambient temperature changes (-20~60℃), wind, rain and dust disturbances.

[0067] 2) The instantaneous impact of vehicle dynamic conditions (rapid acceleration, emergency braking, turning) on ​​tire stress.

[0068] (2) The operating conditions are close to the actual use of commercial vehicles: the test conditions are fully matched to the actual use scenarios of commercial vehicles, such as the "empty-full load switching", "long-distance continuous driving (4~8 hours)" and "frequent start and stop on urban roads" of freight vehicles, to ensure that the test results can directly guide actual operation and maintenance.

[0069] (3) Data needs to be compared and verified: There is no "bench standard true value" for actual vehicles. Reference data (such as external sensors) needs to be obtained through additional auxiliary means to verify the estimation accuracy of the intelligent tire system.

[0070] The modified valve stem 3 is disposed on the wheel rim 2 of the commercial vehicle. The modified valve stem 3 has an anti-loosening structure, which is used to ensure the airtightness of the commercial vehicle tire 1 during vehicle operation.

[0071] As an optional implementation, the power supply module of the smart tire assembly includes: a power supply module 4 and a power supply module support 6, wherein the power supply module support 6 is fixed to the commercial vehicle wheel rim 2, and the power supply module 4 is fixed to the power supply module support 6.

[0072] The power supply module 4 is used to supply power to the tire inner unit 7 through the modified valve stem 3.

[0073] The modified valve stem 3 also has an electrical connection function to ensure that the power supply module 4 provides stable power to the tire in-tire unit 7 during vehicle operation.

[0074] As an optional implementation, the data acquisition device includes: an external module and a second communication module.

[0075] The second communication module establishes a communication link with the first communication module. The second communication module is used to receive the operating condition parameters transmitted by the first communication module and send them to the tire module.

[0076] The tire module has the vertical load estimation model and the wear estimation model built in. The tire module is used to calculate the vertical load estimation result and the wear estimation result in real time using the vertical load estimation model and the wear estimation model respectively, and send the operating condition parameters, the vertical load estimation result and the wear estimation result to the host computer.

[0077] As an optional implementation, the vertical load estimation model is constructed based on pressure, temperature, and radial acceleration parameters, and the model coefficients are optimized using tire characteristic parameters calibrated by bench tests.

[0078] The wear estimation model is constructed based on the estimation results of vehicle speed, pressure, temperature, radial acceleration, and vertical load. During real-vehicle verification, vehicle speed is provided by body sensors, pressure, temperature, and radial acceleration are provided by the tire in-tire unit, and vertical load is provided by the data acquisition unit. Inputting the above parameters into the wear estimation model will output the wear estimation result.

[0079] As an optional implementation, the data acquisition device also has an anomaly detection function. When the operating condition parameters, the vertical load estimation result, or the wear estimation result are detected to exceed the threshold range set by the host computer, an alarm message is automatically generated and the alarm message is synchronously sent to the host computer.

[0080] As an optional implementation, the host computer is also used to optimize the parameters and update the version of the vertical load estimation model and the wear estimation model. When the model parameters of the vertical load estimation model and the wear estimation model need to be optimized, the updated model parameters are transmitted to the data acquisition device through a wireless link to realize the iterative upgrade of the vertical load estimation model and the wear estimation model.

[0081] To make the system structure of this application clearer, the specific structure and layout of the intelligent tire testing system for commercial vehicles of this application will be explained in detail below with examples.

[0082] This embodiment proposes an intelligent tire testing system for commercial vehicles, which mainly includes an intelligent tire assembly, a data acquisition unit, and a host computer. The intelligent tire assembly includes a commercial vehicle tire 1, a commercial vehicle wheel rim 2, a modified valve stem 3, a power supply module 4, an adapter 5, and an in-tire unit 7, integrating these multiple components into one unit. The data acquisition unit includes an external tire module. The host computer is used to display, record, and manage test data.

[0083] The tire inner unit 7 is equipped with a first communication module, while the data acquisition unit is equipped with a second communication module corresponding to the first communication module. The first communication module and the second communication module establish a communication link to facilitate wireless communication between the smart tire assembly and the data acquisition unit. Simultaneously, the data acquisition unit and the host computer can be connected via wired or wireless connection. When using a wireless connection, the second communication module can also establish wireless communication with the host computer to achieve wireless communication between the data acquisition unit and the host computer.

[0084] In this embodiment, taking the second communication module as a Bluetooth receiver as an example, the first communication module is a Bluetooth transmitter, enabling the smart tire assembly and the data collector to interact via Bluetooth.

[0085] The in-tire unit 7 is used to collect tire operating condition parameters and output them to the data acquisition unit. The operating condition parameters include at least pressure, temperature, and radial acceleration.

[0086] The power supply module 4 supplies power to the tire inner unit 7 through the modified valve stem 3.

[0087] The Bluetooth receiver communicates wirelessly with the in-tire unit 7 to achieve large-volume transmission of operating data and interaction of configuration commands.

[0088] The tire module has a built-in vertical load estimation model and wear estimation model. It receives working condition data transmitted by the Bluetooth receiver and performs real-time calculations to obtain vertical load estimation results and wear estimation results, which are then sent to the host computer.

[0089] The host computer is used for parameter display, data recording, threshold setting, alarm and calibration management, and supports the adaptation and testing of different rims / tires and tire inner units 7.

[0090] As an optional implementation, the adapter 5 is used to: fix the smart tire to the test bench for calibration in bench test mode; and, in real vehicle test mode, provide an external sensor mounting interface to obtain vertical load, wear or other comparative parameters, and compare and verify them with the estimation results of the tire module.

[0091] As an optional implementation, the modified valve stem 3 has an electrical connection function, the electrical connection is insulated and has an anti-loosening structure to ensure reliable power supply and sealing under vehicle operating conditions.

[0092] Radial acceleration mainly refers to Z-axis acceleration. The Z-axis is a radial coordinate axis centered on the tire's rotation axis and perpendicular to the ground. The corresponding Z-axis acceleration is the dynamic acceleration signal of the tire in the direction perpendicular to the ground. It is mainly used to assist in calculating vertical loads and monitoring the tire's operating conditions in the vertical direction. It is one of the key parameters for realizing tire life cycle status monitoring.

[0093] As an optional implementation, the external module is also used to perform anomaly detection and event triggering on the received data. When the pressure is detected to be lower than a set threshold or the radial acceleration is abnormal, an alarm message is generated to the host computer.

[0094] As an optional implementation, the vertical load estimation model is calculated online based on pressure, temperature, and radial acceleration parameters; the wear estimation model is updated based on vehicle speed, pressure, temperature, radial acceleration, and load parameters.

[0095] As an optional implementation, the host computer is used to calibrate and manage the parameters of the vertical load estimation model and the wear estimation model, and to send the updated model parameters to the tire module.

[0096] As an optional implementation, the host computer and the data acquisition device communicate via a wired link, which supports bidirectional data transmission and time synchronization.

[0097] As an optional implementation, the host computer provides tire lifecycle management functions, including: tire-vehicle binding, test condition configuration, historical data query, threshold template management, and report export.

[0098] As an optional implementation, the tire module calculates the vertical load estimation result and the wear estimation result using the vertical load estimation model and the wear estimation model, respectively, specifically including the following:

[0099] Vertical load estimation deployment: The test bench provides standard operating conditions, including information such as the vertical load and vehicle speed applied to the smart tire. The in-tire unit 7 collects information such as temperature, pressure, and radial acceleration inside the tire. The host computer fits the applied vertical load and vehicle speed with the temperature, pressure, and radial acceleration information collected by the in-tire unit 7 to obtain a vertical load estimation model under the corresponding operating conditions; then, this vertical load estimation model is deployed to the outer tire module. During actual testing, the in-tire unit 7 sends the collected temperature, pressure, and radial acceleration (radial acceleration data can be used to calculate approximate vehicle speed data) to the vertical load estimation model in the outer tire module for calculation, obtaining the vertical load estimation result.

[0100] Wear estimation unfolds as follows: The wear estimation model and the vertical load estimation model are established in the same way. A standard operating condition, vehicle speed, and vertical load are given on a test bench. In-tire units 7 are arranged inside tires with fixed wear amounts (e.g., 1.5mm, 3mm, 4.5mm, etc.). In-tire units 7 collect temperature, pressure, and radial acceleration information. A random forest model is used on the host computer to train the wear estimation model. After training, the wear estimation model is deployed to the external tire module. The actual testing process is similar to the vertical load estimation process of the vertical load estimation model. During actual testing, the in-tire unit 7 sends the collected temperature, pressure, and radial acceleration data to the wear estimation model in the external tire module for calculation, obtaining the wear estimation result.

[0101] In this embodiment, the intelligent tire testing system for commercial vehicles can serve as a development platform for testing intelligent tires for commercial vehicles. It mainly includes an intelligent tire, a data acquisition unit, and a host computer. The intelligent tire integrates a power supply module 4, a modified valve stem 3, an adapter 5, and an in-tire unit 7 on the basis of a traditional commercial vehicle wheel rim 2 / commercial vehicle tire 1. The data acquisition unit includes a Bluetooth receiver and an external tire module. The host computer is used for parameter display, recording, threshold setting, alarm functions, and calibration management.

[0102] In-tire unit 7: Supports pressure, temperature and radial acceleration monitoring (at least Z-axis), and has signal conditioning, sampling and wireless communication capabilities; the modified valve stem 3 is reliably powered by an external power supply module 4.

[0103] Communication link: The in-tire unit 7 communicates wirelessly with the Bluetooth receiver to achieve large data transmission and configuration command interaction; the data collector communicates bidirectionally and synchronizes time with the host computer via a wired connection.

[0104] Model calculation: The tire module has built-in vertical load estimation and wear estimation models, which perform real-time calculations on the received data and output the estimation results; it also has anomaly detection and event triggering functions.

[0105] The adapter has two modes: in bench test mode, it is used for fixed connection and calibration with the test bench; in vehicle test mode, it is used to install external sensors to obtain comparative data to verify the model output.

[0106] Upper computer functions: Provides equipment management, parameter display, data recording, threshold setting, alarm, calibration management and model version management, and supports the adaptation and testing of different rims / tires and tire inner units 7.

[0107] Example 1: Overall architecture of intelligent tire testing system for commercial vehicles.

[0108] Intelligent tire: Based on the structure of a standard commercial vehicle wheel rim 2 and tire, a modified valve stem 3 is installed. A power supply module 4 reliably introduces external electrical energy into the tire cavity via a cable passing through the modified valve stem 3, supplying power to the tire's internal unit 7. For example... Figure 3 As shown, the inner tire unit 7 is fixed to the surface of the tire's airtight layer and is secured by a special rubber sleeve 8 in conjunction with the anti-vibration rubber. The hardware of the inner tire unit 7 includes: a pressure sensor (range covering 100-920kPa), a temperature sensor (range -40-125℃), an acceleration sensor (for vertical dynamic identification), an analog-to-digital conversion and signal conditioning circuit, a microprocessor (MCU), a wireless communication module (Bluetooth Low Energy), and a memory (for caching data frames and event windows).

[0109] Data acquisition unit: Composed of a Bluetooth receiver and an external module, it can be integrated into a single package or installed separately in the vehicle's driver's cab area. The Bluetooth receiver is responsible for establishing a wireless transmission link with the internal unit 7 and receiving data; the external module performs preprocessing, model calculations, and event judgments, and communicates with the host computer via a wired link.

[0110] Host computer: Installed on a portable computer, it has functions such as equipment management (tire-vehicle-test binding), parameter display (pressure, temperature, radial acceleration, vertical load and wear estimation results), threshold setting (upper / lower limit), alarm pop-up window / audio-visual prompts, calibration management (model parameter import / export / version backtracking), and data recording (layered storage of raw data and result data).

[0111] Figure 4 The software functional architecture of the extracorporeal module in the data acquisition unit is shown, clearly demonstrating the entire process logic of the extracorporeal module from receiving data to outputting results, specifically including the following core contents.

[0112] (1) Data reception and preprocessing stage.

[0113] It receives raw data transmitted by the in-tire unit 7 via BLE (Bluetooth Low Energy).

[0114] Simultaneously implement the function of saving BLE data to a txt file, and complete the local caching of the original data to facilitate subsequent traceability and verification.

[0115] (2) Model calculation and mode switching process.

[0116] Core function: Based on the received BLE data (operating condition parameters such as pressure, temperature, and Z-axis acceleration), perform preprocessing (such as filtering and temperature drift compensation) of "model input processing of BLE data", and then output the results through the built-in model.

[0117] Mode adaptation: Supports switching between different operation modes via "command trigger", including load estimation mode and wear estimation mode.

[0118] (3) Results output and data upload process.

[0119] Multi-path output: Model estimation results are synchronously exchanged in the following three ways.

[0120] 1) Upload to the host computer via CAN card.

[0121] 2) The results are displayed in real time on the LCD screen at the test site, making it easy for on-site testers to view the key results intuitively.

[0122] 3) Use 4G communication to upload data to the server via a 4G module. The server can be a cloud server.

[0123] Figure 5 It illustrates the functional modules and data interaction logic of the host computer, intuitively presenting the core role of the host computer as a control center, specifically including the following core contents.

[0124] (1) Data interaction link between upper and lower layers.

[0125] Downlink control: The host computer sends instructions to the data acquisition unit (lower computer) via network port communication, including configuring the working mode and hardware parameters (such as the sampling frequency of the smart tire component and the calculation cycle of the data acquisition unit), deploying the model (such as updating the parameters of the vertical load / wear estimation model), and receiving configuration feedback and deployment feedback to ensure the effectiveness of instruction execution.

[0126] Uplink data: The lower-level machine transmits estimation results and other data (pressure, temperature, radial acceleration, vertical load estimation results, wear estimation results) and configuration feedback to the upper-level machine through CAN card communication, forming a two-way data closed loop.

[0127] (2) Core functional interface and data processing.

[0128] Data display: Supports numerical or curve display of estimated results and operating parameters, intuitively presenting the real-time status of the tire.

[0129] Data storage: The received core data is saved in a txt file to retain historical data.

[0130] Threshold control and alarm: It has a parameter threshold setting function. When the monitored data (such as pressure below the threshold or wear exceeding the upper limit) exceeds the threshold range, an alarm will be triggered.

[0131] Example 2: Communication Protocol and Data Format.

[0132] Frame structure: It uses timestamp (ms), frame count, sensing quantity fields (P, T, Az), status words (power status, link status, sensor self-test), and check field (CRC8).

[0133] Sampling and transmission: The sampling frequency of pressure, temperature and radial acceleration is configurable; it dynamically adapts to the model's real-time requirements and communication bandwidth.

[0134] Configuration commands: Supports the issuance and response of commands such as sampling rate, threshold, model parameter index, and firmware version upgrade trigger.

[0135] Time synchronization: The host computer periodically broadcasts synchronization pulses or timestamp correction packets to the inner tire unit 7 through the data acquisition device to ensure the time sequence alignment of data from multiple tire positions.

[0136] Example 3: Model Calculation and Event Triggering.

[0137] Vertical load estimation: Based on pressure, temperature, radial acceleration characteristics, and tire self-calibration parameters (obtained through bench calibration), a regression or mechanism-data fusion model is established; the load estimate and confidence level are output in real time.

[0138] Wear estimation: Based on vehicle speed, pressure, temperature, radial acceleration and load characteristics, a regression prediction is established to update the current estimated value of the remaining tire tread depth or wear amount.

[0139] Event triggering: When the pressure is below the threshold, the temperature exceeds the limit, the Z-axis impact is abnormal, or the load / wear estimation value exceeds the limit, an event data packet (including the original data of the preceding and following time windows, the result and status word) is generated and sent to the host computer for alarm and diagnosis.

[0140] Example 4: Adapter 5 and Dual-Mode Application.

[0141] Bench test mode: Adapter 5 reliably fixes the smart tire to the test bench; vertical load, speed and temperature conditions are applied step by step according to the loading spectrum, and the sensor data and bench reference values ​​are recorded to calibrate the model parameters and evaluate the error.

[0142] Real vehicle test mode: Adapter 5 provides external sensor mounting positions (such as wheel end load sensor, optical wear measurement unit, etc.), collects real vehicle reference data, compares it with the estimation results of the tire external module, calculates the deviation and writes back the model correction factor; it can cover multiple scenarios according to the working condition set (no load, half load, full load, different pressures).

[0143] Example 5: Power supply and airtight design.

[0144] In this embodiment, the structural modification includes the following:

[0145] (1) Drilling the valve core: A through hole is set along the axial direction on the metal (or brass) body of the standard valve core or valve nozzle. The hole diameter is preferably 0.8-1.0 mm (selected according to the outer diameter of the wire to ensure that the wire passes through and leaves a gap for adhesive filling).

[0146] (2) Wire installation: Select insulated wires that are resistant to bending, oil, and temperature and are compatible with the internal environment of the tire (e.g., QZY-2 / 180 type enameled wire with a nominal outer diameter of 0.7mm), insert them into the through hole from the outside of the valve, extend them into the tire cavity, and reliably connect them to the power supply terminal or connector of the tire unit 7 (welding or snap-fit ​​connection).

[0147] (3) Sealing and potting: Inject sealant into the through hole and the wire-hole wall annular gap, preferably epoxy resin AB glue, which has moderate viscosity and elasticity and temperature resistance after curing; it can be potted in two sections (inner side and outer side) to form a double seal. The outer surface is then covered with a thin layer of elastic sealing coating to enhance the resistance to stone impact and water intrusion.

[0148] (4) Mechanical buffer: A stress relief sleeve or corrugated sleeve is installed at the outlet of the valve wire outside. Wear-resistant protective plates are attached to the edge of the rim to prevent vibration / swing from causing wear of the insulation layer.

[0149] In this embodiment, the process flow specifically includes the following steps.

[0150] (1) Remove the standard valve core and clean the part to be processed; locate and drill holes, deburr, clean and dry.

[0151] (2) Lay out the wires and pre-arrange the length and routing; perform termination treatment on the wire ends (tin plating, soldering terminals or crimping terminals).

[0152] (3) Step-by-step potting: Apply a small amount of adhesive to the inner side for positioning, and then fill the outer side with the main adhesive until it is flush or slightly arched. Cur at room temperature or with heat.

[0153] (4) Coat the outer surface with an elastic sealing layer and install a stress relief sleeve; conduct pressure resistance and leakage tests.

[0154] (5) Reinstall the valve assembly and perform a full wheel air tightness test.

[0155] In this embodiment, the safety redundancy design includes the following:

[0156] (1) If the drilling location is close to the dynamic bending area, a quick-release connector is added between the inside of the wire and the inner unit 7 of the tire to facilitate maintenance and replacement.

[0157] (2) Set over-stress limiters (such as knots or clips) to prevent the wire from being pulled by external forces, which would cause the potting compound to crack.

[0158] Example 6: Host computer software functions.

[0159] In this embodiment, the host computer software mainly includes the following functions.

[0160] Equipment binding: Using wheel position as the anchor point, manage tire ID, in-tire unit ID, vehicle ID, and test plan.

[0161] Calibration Management: Establish a model parameter library and version number, and support experimental condition association, differential updates, and rollback.

[0162] Data management: Layered storage of raw sensor data, model results, and event packages; supports exporting to CSV / txt and other formats and visualization.

[0163] Health assessment: Periodically calculate the Tire Health Index (THI), and combine it with load and wear estimates to provide maintenance recommendations or replacement reminders.

[0164] Existing TPMS systems primarily monitor pressure and temperature, making it difficult to reflect changes in key performance indicators such as vertical load and wear over time and under operating conditions, thus failing to meet the needs of R&D testing, road verification, and operation and maintenance management. Based on this, this application proposes an intelligent tire testing system for commercial vehicles. The intelligent tire component can collect three core operating condition parameters: pressure, temperature, and radial acceleration. The data acquisition unit further calculates the vertical load and wear estimation results using built-in vertical load estimation and wear estimation models. Compared to traditional solutions that only monitor pressure and temperature, this application not only monitors pressure, temperature, and radial acceleration but also achieves comprehensive coverage and real-time display and recording of key tire performance indicators such as vertical load and wear. This achieves the goals of collecting operating condition parameters, online model estimation, and real-time display and recording of key performance parameters such as vertical load and wear, providing a more accurate and comprehensive reflection of the tire's real-time operating status and offering more robust data support for tire testing and safety assessment.

[0165] Existing testing platforms generally rely on external sensors and specific bench environments, resulting in high migration costs between bench testing and real-vehicle applications, incomplete data loops, and a lack of integrated testing and management solutions. To address these issues, this application proposes an intelligent tire testing system for commercial vehicles. Through three core innovations—modular integrated design, dual-scenario adaptation scheme, and data loop mechanism—it specifically solves the problems of existing testing platforms: reliance on external sensors, high migration costs between bench and real-vehicle testing, and insufficient data loops.

[0166] Existing platforms require the separate installation of external sensors (such as wheel-end load sensors and optical wear gauges) on the test bench / actual vehicle to collect key data. This is not only cumbersome to install, but also suffers from poor sensor compatibility with the tire and low data synchronization. Therefore, this application integrates core sensing, power supply, and communication functions into the tire body. Specifically, it adopts an embedded integration method using an in-tire unit 7. The in-tire unit 7 is fixed inside the commercial vehicle tire 1, housing pressure, temperature, and radial acceleration (Z-axis) sensors to directly collect core parameters of tire operating conditions. This eliminates the need for additional external sensors on the rim or vehicle body, avoiding the problems of redundant sensor placement and compatibility. Furthermore, by modifying the valve stem 3 in conjunction with the power supply module, and through the modified valve stem 3 which has "electrical connection + anti-loosening + air circuit sealing" functions, a stable power supply from the external power supply module to the in-tire unit 7 is achieved (the power supply wire passes through the valve core through hole and is cured with sealant to ensure airtightness). This eliminates the need to design separate power supply lines for the sensors, further simplifying the installation structure. In addition, by integrating wireless communication, the smart tire component integrates a first communication module (such as Bluetooth Low Energy) and the data acquisition unit integrates a second communication module. The two directly establish a wireless link to transmit operating condition data, replacing the complex wiring of the existing platform's "external sensor-wired transmission" and reducing the difficulty of installation and maintenance costs in actual vehicles.

[0167] Existing platforms require two separate sets of sensors, mounting structures, and data acquisition schemes for bench testing and vehicle testing. Migration necessitates disassembly, reinstallation, and calibration, resulting in high costs and low efficiency. Therefore, this application utilizes the scenario-based design of adapter 5 to achieve direct reuse of the same intelligent tire assembly in both bench and vehicle testing. Specifically, in bench testing mode: adapter 5 acts as a fixed connector between the intelligent tire and the test bench, rigidly fixing the intelligent tire assembly to the bench without requiring additional bench-specific mounting structures. Simultaneously, using standard load and temperature reference data from the bench, the vertical load estimation model and wear estimation model built into the data acquisition unit are directly calibrated and their performance verified, eliminating the need for sensor redeployment in bench testing scenarios. Real-vehicle testing mode: Adapter 5 has a reserved external sensor mounting interface, which can directly install auxiliary sensors required for real-vehicle scenarios (such as optical wear gauges) without the need for additional drilling or welding of mounting brackets on the vehicle body or rims; at the same time, the real-vehicle reference data collected by the external sensors (such as actual wear amount and load value) can be directly compared and verified with the estimation results of the smart tire component without the need to rebuild the data acquisition link. Through the dual-scenario function reuse of the same adapter 5, the same set of smart tire components can be directly installed on the vehicle for real-vehicle verification after bench calibration. The migration process does not require the replacement of core components, which significantly reduces the cost of repeated equipment procurement and installation and calibration time.

[0168] Existing platforms can only collect single data from test benches or actual vehicles, lacking a closed-loop mechanism of "collection-estimation-verification-optimization," which prevents continuous improvement in model accuracy and hinders data feedback to the testing process. Therefore, this application establishes a complete data closed loop through a full-link design of "sensor acquisition-model computation-host computer management-parameter write-back," with the specific logic as follows.

[0169] 1) Data acquisition layer: The intelligent tire assembly collects pressure, temperature and radial acceleration in real time to ensure the continuity and accuracy of basic data.

[0170] 2) Model calculation layer: The vertical load / wear estimation model built into the data acquisition unit outputs estimation results based on real-time operating data, realizing the transformation from "basic parameters to core status".

[0171] 3) Verification layer: Obtain standard bench data (bench mode) through bench controller, or obtain real vehicle reference data (real vehicle mode) through external sensors installed on adapter 5, compare with model estimation results, and calculate deviation values ​​(such as load estimation deviation, wear estimation deviation).

[0172] 4) Iterative optimization layer: After receiving the deviation data, the host computer supports calibration and version update of the model parameters, and writes the optimized parameters back to the data acquisition unit via wireless link to realize real-time iteration of the model; at the same time, the host computer stores the collected data, estimation results and verification deviations throughout the entire life cycle to form a traceable database, providing data support for subsequent test scheme optimization (such as working condition configuration and threshold setting).

[0173] Through this closed-loop mechanism, the model accuracy can be continuously improved with the increase of the number of tests, and the bench data can be fed back to optimize the real vehicle model, while the real vehicle data can verify the bench calibration effect, solving the problems of isolated data and inability to iterate in existing technologies.

[0174] Based on the same inventive concept, this application also provides a method for testing intelligent tires for commercial vehicles based on the aforementioned intelligent tire testing system. The solution provided by this method is similar to the solution described in the system above. Therefore, the specific limitations in the embodiments of the intelligent tire testing method for commercial vehicles provided below can be found in the limitations of the intelligent tire testing system for commercial vehicles described above, and will not be repeated here.

[0175] In one exemplary embodiment, such as Figure 6 As shown, a method for testing intelligent tires for commercial vehicles is provided, which specifically includes the following steps.

[0176] S1: Collect tire operating condition parameters; the operating condition parameters include: pressure, temperature and radial acceleration.

[0177] S2: Perform real-time calculations on the operating condition parameters to obtain vertical load estimation results and wear estimation results.

[0178] S3: Display and record the operating condition parameters, the vertical load estimation results, and the wear estimation results in real time.

[0179] In this embodiment, power is first supplied to the in-tire unit 7 via the modified valve stem 3 through the power supply module 4, enabling synchronous acquisition of pressure, temperature, and radial acceleration. Then, the in-tire unit 7 wirelessly transmits the acquired operating data to the Bluetooth receiver. The external tire module preprocesses the received data and runs vertical load estimation and wear estimation models in real time to obtain model estimation results. The model estimation results, along with the operating parameters, are transmitted to the host computer for display, recording, threshold judgment, and alarm functions. During bench tests or real-vehicle tests, adapter 5 is used to install sensors on the bench or externally to acquire comparative data for calibrating and verifying the model parameters.

[0180] Specifically, when any operating condition parameter or model estimation result exceeds the threshold range set by the host computer, an alarm is generated and an event data packet is recorded, including time window data before and after the limit is exceeded and the model status.

[0181] The tire external module or the host computer periodically calculates tire health status indicators, uses the vertical load and wear estimation results for full life cycle assessment, and outputs maintenance suggestions or replacement reminders.

[0182] The modified valve 3 is provided with an axial through hole. An insulated wire passes through the through hole and is connected to the power supply terminal of the tire inner unit 7. The annular gap between the through hole and the wire is sealed by injecting a sealing compound. After the sealing compound cures, it simultaneously achieves electrical insulation and gas sealing.

[0183] The outer diameter of the insulated wire is 0.6-0.8 mm, the diameter of the through hole is 0.8-1.0 mm, and the sealant is a two-component epoxy or silicone structural adhesive with a working temperature range of -40-140℃ and oil resistance.

[0184] The intelligent tire testing system and method for commercial vehicles proposed in this application have the following advantages.

[0185] (1) Integration and portability: The same set of smart tires can be used for bench calibration and can be directly verified on the vehicle, reducing the cost of repeated deployment.

[0186] (2) Status visibility and early warning: In addition to pressure and temperature, the vertical load and wear amount are estimated in real time, improving the dimension and timeliness of safety monitoring.

[0187] (3) Open calibration capability: Adapter 5 supports external sensor expansion, which facilitates the comparison and verification of the model and forms a closed loop iteration.

[0188] (4) Reliable power supply and air tightness: The modified valve stem 3 takes into account both power supply and air circuit sealing, improving reliability under actual vehicle conditions.

[0189] (5) Full lifecycle management: The host computer realizes data retention, historical playback and health assessment to support operation and maintenance decisions.

[0190] This application proposes a smart tire testing system and method for commercial vehicles. The smart tire testing system mainly consists of a smart tire, a data acquisition unit, and a host computer. The smart tire integrates a power supply module 4, a modified valve stem 3, an adapter 5, and an in-tire unit 7 on the basis of a traditional commercial vehicle wheel rim 2 and tire. The adapter 5 is used for two types of operating conditions: in bench testing, it reliably fixes the smart tire to the test bench for calibration and performance verification; in real-vehicle testing, it is used to install other external sensors to obtain comparative data such as vertical load and wear, and to verify the results against the smart tire's own calculations. The in-tire unit 7 is used to collect operating condition parameters such as pressure, temperature, and radial acceleration, and the modified valve stem 3 provides stable power to the in-tire unit 7 from the external power supply module 4. The data acquisition unit includes a Bluetooth receiver and an external module. The Bluetooth receiver communicates wirelessly with the in-tire unit 7 to achieve large data volume transmission and configuration command issuance; the external module has built-in models for vertical load estimation and wear estimation, receives data transmitted from the Bluetooth receiver, performs real-time calculations, and sends the calculation results to a host computer such as a portable computer. The host computer has functions such as parameter display, data recording, threshold setting, alarm and calibration management, and can support the adaptation and testing of different rims / tires and tire internal units 7. This application realizes real-time monitoring and remote data acquisition of tire status during commercial vehicle operation through a modular tire internal and external architecture and a reliable power supply solution, improving tire safety and maintenance efficiency, and is suitable for product development, bench / road testing and fleet operation and maintenance scenarios.

[0191] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0192] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A smart tire testing system for commercial vehicles, characterized in that, The intelligent tire testing system for commercial vehicles includes: an intelligent tire assembly, a data acquisition unit, and a host computer. The intelligent tire assembly is wirelessly connected to the data acquisition unit, and the data acquisition unit is also connected to the host computer. The intelligent tire assembly is used to collect tire operating condition parameters and send the operating condition parameters to the data acquisition unit; the operating condition parameters include: pressure, temperature and radial acceleration; The data acquisition unit has a built-in vertical load estimation model and a wear estimation model. The vertical load estimation model is used to perform real-time calculations on the operating condition parameters to obtain the vertical load estimation result, and the wear estimation model is used to perform real-time calculations on the operating condition parameters to obtain the wear estimation result. The data acquisition unit is used to send the operating condition parameters, the vertical load estimation result, and the wear estimation result to the host computer. The host computer is used to display and record the operating condition parameters, the vertical load estimation results, and the wear estimation results in real time, and to remotely control and set the working status and parameters of the intelligent tire assembly and the data acquisition device.

2. The intelligent tire testing system for commercial vehicles according to claim 1, characterized in that, The intelligent tire assembly includes: a commercial vehicle wheel rim, a commercial vehicle tire, and an inner tube unit; The commercial vehicle wheel rim and the commercial vehicle tire form a tire frame, and the tire inner unit is disposed inside the commercial vehicle tire; The in-tire unit includes a pressure sensor, a temperature sensor, an acceleration sensor, and a first communication module. The pressure sensor, the temperature sensor, and the acceleration sensor are used to collect the tire's pressure, temperature, and radial acceleration, respectively, and transmit them to the data acquisition unit via the first communication module.

3. The intelligent tire testing system for commercial vehicles according to claim 2, characterized in that, The smart tire assembly also includes: an adapter; The adapter is mounted on the tire frame; The adapter is used for: In a bench test scenario, the smart tire assembly is fixedly connected to the test bench to calibrate the vertical load estimation model and the wear estimation model, and to verify the performance of the smart tire assembly. In real-vehicle testing scenarios, an external sensor mounting interface is provided. The external sensor mounting interface is used to obtain comparison parameters, which are used to compare and verify with the vertical load estimation results and the wear estimation results.

4. The intelligent tire testing system for commercial vehicles according to claim 2, characterized in that, The intelligent tire assembly also includes: a modified valve stem; The modified valve stem is mounted on the rim of the commercial vehicle wheel. The modified valve stem has an anti-loosening structure, which is used to ensure the airtightness of the commercial vehicle tires during vehicle operation.

5. The intelligent tire testing system for commercial vehicles according to claim 4, characterized in that, The intelligent tire assembly also includes: a power supply module; The power supply module includes: a power supply module and a power supply module support, wherein the power supply module support is fixed to the wheel rim of the commercial vehicle, and the power supply module is fixed to the power supply module support; The power supply module is used to supply power to the tire inner unit through the modified valve stem; The modified valve stem also has an electrical connection function to ensure that the power supply module provides stable power to the in-tire unit during vehicle operation.

6. The intelligent tire testing system for commercial vehicles according to claim 2, characterized in that, The data acquisition device includes: an external module and a second communication module; The second communication module establishes a communication link with the first communication module. The second communication module is used to receive the operating condition parameters transmitted by the first communication module and send them to the tire module. The tire module has the vertical load estimation model and the wear estimation model built in. The tire module is used to calculate the vertical load estimation result and the wear estimation result in real time using the vertical load estimation model and the wear estimation model respectively, and send the operating condition parameters, the vertical load estimation result and the wear estimation result to the host computer.

7. The intelligent tire testing system for commercial vehicles according to claim 1, characterized in that, The vertical load estimation model is constructed based on pressure, temperature and radial acceleration parameters, and the model coefficients are optimized by tire characteristic parameters calibrated through bench tests. The wear estimation model is constructed based on the estimation results of vehicle speed, pressure, temperature, radial acceleration, and vertical load.

8. The intelligent tire testing system for commercial vehicles according to claim 1, characterized in that, The data acquisition device also has an anomaly detection function. When the operating condition parameters, the vertical load estimation result, or the wear estimation result are detected to exceed the threshold range set by the host computer, an alarm message is automatically generated and the alarm message is sent to the host computer synchronously.

9. The intelligent tire testing system for commercial vehicles according to claim 1, characterized in that, The host computer is also used to optimize the parameters and update the version of the vertical load estimation model and the wear estimation model. When the model parameters of the vertical load estimation model and the wear estimation model need to be optimized, the updated model parameters are transmitted to the data acquisition device through a wireless link to realize the iterative upgrade of the vertical load estimation model and the wear estimation model.

10. A method for testing intelligent tires for commercial vehicles, characterized in that, The intelligent tire testing method for commercial vehicles is implemented based on the intelligent tire testing system for commercial vehicles according to any one of claims 1-9. The intelligent tire testing method for commercial vehicles includes: The operating parameters of the tire are collected; these operating parameters include: pressure, temperature, and radial acceleration. The operating condition parameters are calculated in real time to obtain the vertical load estimation result and the wear estimation result; The operating condition parameters, the vertical load estimation results, and the wear estimation results are displayed and recorded in real time.

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