A method and device for detecting the wear degree of new energy tires on slippery roads

Abstract

The present invention discloses a method and device for detecting the degree of wear of new energy tires on slippery roads, belonging to the technical field of tire detection to be detected. The method includes: determining the tire to be detected and the vehicle to be detected, and determining the actual installation position; obtaining the road surface condition in the driving direction of the new energy vehicle based on the image acquisition system, and retrieving the vehicle status of the new energy vehicle; detecting the drainage condition of the tire to be detected to determine the pressure detection data; processing the wear degree calculation formula to determine the degree of water accumulation, vehicle speed, pressure detection data and relative distance to determine the wear degree of the tire to be detected; processing the vehicle speed, pressure detection data and tire pressure based on the wear judgment algorithm to determine the wear type; determining the preferred driving strategy of the vehicle to be detected based on the wear degree, wear type and road surface condition. The present invention can accurately and timely determine the wear degree of the tire on a slippery road through the above method and give corresponding prompts.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy tire wear detection, and in particular to a new energy tire wear detection method and equipment for use on slippery roads. Background Art

[0002] Tires are circular, ground-contacting, rolling, elastic rubber products used on various vehicles and machinery. Typically mounted on metal rims, they support the vehicle's body, cushion external impacts, maintain contact with the road, and ensure vehicle performance. Tires are often used in complex and demanding conditions, enduring various deformations, loads, forces, and high and low temperature exposure. Therefore, they must exhibit high load-bearing, traction, and cushioning properties. They must also possess high wear and flex resistance, as well as low rolling resistance and heat buildup.

[0003] Tire grip on wet surfaces is a crucial safety factor, primarily determined by the tire's material and tread design. The tire's material determines its hardness, elasticity, and wear resistance, while the tread design directly influences the tire's contact with the ground and its drainage efficiency. Tread designs, such as longitudinal grooves and transverse treads, utilize carefully calculated angles and depths to effectively drain water from the tire's surface during rolling, minimizing the formation of a water film and its adverse effects on grip.

[0004] However, tires inevitably wear out due to long-term use and friction with various road surfaces. This wear gradually reduces the depth of the tire tread, reducing its ability to drain water and, in turn, the tire's grip on wet surfaces. When tire wear reaches a certain level, its performance on wet roads will be significantly reduced, increasing the risk of the vehicle skidding and loss of control.

[0005] Therefore, how to accurately and timely determine the degree of tire wear on slippery roads and give corresponding prompts has become a technical problem that needs to be solved urgently. Summary of the Invention

[0006] The embodiments of the present invention provide a method and device for detecting the wear degree of new energy tires on slippery roads, which are used to solve the following technical problem: how to accurately and timely determine the wear degree of tires on slippery roads and provide corresponding prompts.

[0007] In a first aspect, an embodiment of the present invention provides a method for detecting the degree of wear of new energy tires on slippery roads, the method comprising: determining the tire to be detected and the vehicle to be detected, and determining a recommended installation area based on the model of the tire to be detected and the model of the vehicle to be detected; wherein the recommended installation area is used to install a preset pressure distribution measurement system, a pressure sensor and a temperature sensor are provided in the tire to be detected, and an image acquisition system is provided on the vehicle to be detected; the pressure distribution measurement system is installed on the vehicle to be detected based on the recommended installation area, and the relative position of the pressure distribution measurement system relative to the tire to be detected is determined; the road surface state in the driving direction of the vehicle to be detected is obtained based on the image acquisition system, and the vehicle state of the vehicle to be detected is retrieved. vehicle status; wherein the vehicle status includes at least one of the following: vehicle speed, tire temperature and tire pressure, and the road surface status includes at least one of the following: wet and dry; when the road surface status is wet, the drainage condition of the tire to be tested is detected based on the pressure distribution measurement system to determine the pressure detection data; the vehicle speed, pressure detection data and relative position are processed based on a preset wear degree calculation formula to determine the wear degree of the tire to be tested; the vehicle speed, pressure detection data and tire pressure are processed based on a preset wear judgment algorithm to determine the wear type and wear area of ​​the tire to be tested; wherein the wear type includes regular wear and irregular wear; the preferred driving strategy of the vehicle to be tested is determined based on the wear degree, wear type and road surface status.

[0008] In one implementation of the present invention, a tire to be tested and a vehicle to be tested are determined, and a recommended installation area is determined based on the model of the tire to be tested and the model of the vehicle to be tested, specifically including: determining a preset inclination angle range and a preset distance range; wherein, the inclination angle range is the inclination angle range between the pressure distribution measurement system installed on the vehicle to be tested and the ground, and the distance range is the distance range between the pressure distribution measurement system installed on the vehicle to be monitored and the tire to be tested; processing the model of the vehicle to be tested based on the inclination angle range to determine a first recommended installation area; wherein, the first recommended installation area is an installation area determined based on the inclination angle range; processing the model of the vehicle to be tested and the model of the tire to be monitored based on the distance range to determine a second recommended installation area, wherein the second recommended installation area is an installation area determined based on the distance range; and determining the recommended installation area based on the first recommended installation area and the second recommended installation area.

[0009] In one implementation of the present invention, the road surface condition of the road surface in the driving direction of the vehicle to be detected is obtained based on the image acquisition system, and the vehicle condition of the vehicle to be detected is retrieved, specifically including: obtaining road surface image data of the road surface in the driving direction of the vehicle to be detected based on the image acquisition system; judging whether the road surface in the driving direction belongs to a preset detection terrain based on the road surface image data; wherein the detection terrain includes at least one of the following: cement road, asphalt road; when the road surface belongs to the detection terrain, processing the road surface image data based on a preset image recognition algorithm to determine the road surface condition; connecting to the vehicle to be detected to retrieve the vehicle speed, tire temperature and tire pressure of the vehicle to be detected.

[0010] In one implementation of the present invention, the road friction coefficient, vehicle speed, pressure detection data and relative position are processed based on a preset wear degree calculation formula to determine the wear degree of the tire to be tested, specifically including: comparing a preset simulation database based on the road surface condition to retrieve the speed-pressure formula corresponding to the pressure distribution measurement system of the tire to be tested in a wear-free state; processing the speed-pressure formula based on the relative distance to determine the adaptive speed-pressure formula; substituting the tire speed into the adaptive speed-pressure formula to determine the non-wear pressure detection data corresponding to the pressure distribution measurement system of the tire to be tested in a non-wear state; and comparing the non-wear pressure detection data based on the pressure detection data to determine the wear degree of the tire to be tested.

[0011] In one implementation of the present invention, the vehicle speed, pressure detection data and tire pressure are processed based on a preset wear judgment algorithm to determine the wear type and wear area of ​​the tire to be detected, specifically including: judging whether the tire to be detected is within a preset pressure range based on the tire pressure; when the tire pressure is not within the pressure range, determining that the tire to be detected is irregularly worn based on the tire pressure, and judging the wear area of ​​the tire to be detected based on the value of the tire pressure; when the tire pressure is within the pressure range, processing the pressure detection data based on the vehicle speed and tire circumference to obtain pressure detection cycle data at an average speed, and determining the wear type of the tire to be detected based on the change status of the pressure detection cycle data; when the tire to be detected is irregularly worn, processing the tire to be detected based on the change status of the pressure detection cycle data to determine the wear area of ​​the tire to be detected.

[0012] In one implementation of the present invention, when the tire pressure is not within the pressure range, the tire to be detected is determined to be irregularly worn based on the tire pressure, and the wear area of ​​the tire to be detected is judged based on the numerical value of the tire pressure, specifically including: when the tire pressure is greater than the pressure range, the wear area of ​​the tire to be detected is the inner side of the tire to be detected; when the tire pressure is less than the pressure range, the wear area of ​​the tire to be detected is the outer two sides of the tire to be detected.

[0013] In one implementation of the present invention, when the tire pressure is within the pressure range, the pressure detection data is processed based on the vehicle speed and the tire circumference to obtain pressure detection cycle data at the average speed, and the wear type of the tire to be detected is determined based on the change status of the pressure detection cycle data, specifically including: processing the pressure detection data based on the vehicle speed to obtain average pressure detection data; processing the average pressure detection data based on the tire circumference as a period to determine the pressure detection cycle data; judging whether the tire to be detected is regularly worn based on the change status of the pressure detection cycle data; judging that the tire to be detected is irregularly worn when the pressure detection cycle data image is not stable; judging that the tire to be detected is regularly worn when the pressure detection cycle data image is stable.

[0014] In one implementation of the present invention, when the tire to be detected is irregularly worn, the tire to be detected is processed based on the change status of the pressure detection cycle data to determine the wear area of ​​the tire to be detected, specifically including: connecting the pressure sensor based on the pressure distribution measurement system; determining the initial area based on the pressure sensor, and dividing the tire area in order according to a preset number of divisions and the tire forward direction to determine multiple tire sub-areas; when the pressure sensor passes through a preset trigger point, intercepting the pressure detection cycle data to obtain a unit pressure detection cycle; processing the unit pressure detection cycle based on the number of divisions to determine multiple sub-unit pressure detection cycles; wherein the multiple sub-unit pressure detection cycles correspond one-to-one to the multiple tire sub-areas; marking the tire sub-areas with a wear threshold greater than a preset threshold as a wear area.

[0015] In one implementation of the present invention, the preferred driving strategy of the vehicle to be tested is determined based on the degree of wear, the type of wear and the road surface condition, specifically including: processing the road surface condition based on a preset image processing model to determine the degree of water accumulation; comparing the degree of water accumulation and the detection terrain with a preset friction coefficient table to determine the road surface friction coefficient; and comparing the road surface friction coefficient, the degree of wear and the type of wear with a preset preferred driving recommendation model to determine the preferred driving strategy of the vehicle to be tested.

[0016] In a second aspect, an embodiment of the present invention further provides a new energy tire wear degree detection device for slippery roads, characterized in that the device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can: determine the tire to be detected and the vehicle to be detected, and determine a recommended installation area based on the model of the tire to be detected and the model of the vehicle to be detected; wherein the recommended installation area is used to install a preset pressure distribution measurement system, a pressure sensor and a temperature sensor are provided in the tire to be detected, and an image acquisition system is provided on the vehicle to be detected; based on the recommended installation area, the pressure distribution measurement system is installed on the vehicle to be detected, and the pressure distribution measurement system is determined relative to the wheel to be detected. relative position of the tire; acquiring the road surface condition in the driving direction of the vehicle to be detected based on the image acquisition system, and retrieving the vehicle condition of the vehicle to be detected; wherein, the vehicle condition includes at least one of the following: vehicle speed, tire temperature and tire pressure, and the road surface condition includes at least one of the following: wet and dry; when the road surface condition is wet, detecting the drainage condition of the tire to be detected based on the pressure distribution measurement system to determine the pressure detection data; processing the vehicle speed, pressure detection data and relative position based on a preset wear degree calculation formula to determine the wear degree of the tire to be detected; processing the vehicle speed, pressure detection data and tire pressure based on a preset wear judgment algorithm to determine the wear type and wear area of ​​the tire to be detected; wherein, the wear type includes regular wear and irregular wear; determining the preferred driving strategy of the vehicle to be detected based on the wear degree, wear type and road surface condition.

[0017] The embodiments of the present invention provide a method and device for detecting the wear degree of new energy tires on slippery roads, which have at least the following technical effects:

[0018] This invention ensures the accuracy of data collection by comprehensively considering the tire and vehicle models to accurately determine the installation area of ​​the pressure distribution measurement system; it uses the image acquisition system to capture the road surface conditions in real time, and combines multi-dimensional data such as vehicle speed, tire temperature and tire pressure to achieve a comprehensive assessment of the degree of tire wear; especially under wet and slippery road conditions, by detecting the drainage conditions of the tires, the pressure detection data is further refined, providing a strong basis for wear judgment, and can accurately distinguish regular wear from irregular wear to a certain extent, and accurately locate the wear area. Ultimately, based on the degree of wear, type and road surface conditions, it provides the driver with a scientific and optimal driving strategy, effectively improving driving safety and tire service life. Therefore, the present invention can accurately and timely determine the degree of tire wear on wet and slippery roads and provide corresponding prompts. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0020] Figure 1 A flow chart of a method for detecting the wear degree of new energy tires on slippery roads provided by an embodiment of the present invention;

[0021] Figure 2 A schematic diagram of the internal structure of a new energy tire wear detection device for wet roads provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0022] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with specific embodiments of the present invention and corresponding drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0023] The embodiments of the present invention provide a method and device for detecting the wear degree of new energy tires on slippery roads, which are used to solve the following technical problem: how to accurately and timely determine the wear degree of tires on slippery roads and provide corresponding prompts.

[0024] The technical solutions proposed in the embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0025] Figure 1 This is a flow chart of a new energy tire wear degree detection method for wet and slippery roads provided by an embodiment of the present invention. Figure 1 As shown, an embodiment of the present invention provides a method for detecting the wear degree of new energy tires on slippery roads, which specifically includes the following steps:

[0026] Step 1: Determine the tire to be tested and the vehicle to be tested, and determine a recommended installation area based on the model of the tire to be tested and the model of the vehicle to be tested; wherein the recommended installation area is used to install a preset pressure distribution measurement system, a pressure sensor and a temperature sensor are installed in the tire to be tested, and an image acquisition system is installed in the vehicle to be tested.

[0027] The tire to be tested is pre-installed with a pressure sensor and a temperature sensor to monitor pressure and temperature changes inside the tire in real time. The vehicle to be tested is equipped with an image acquisition system, such as a high-definition camera, to capture images of the road in the direction of the vehicle's travel.

[0028] The specific steps are shown in steps 11 to 13.

[0029] Step 11. Determine a preset tilt angle range and a preset distance range; wherein the tilt angle range is the tilt angle range between the pressure distribution measurement system installed on the vehicle to be detected and the ground, and the distance range is the distance range between the pressure distribution measurement system installed on the vehicle to be monitored and the tire to be detected.

[0030] Tilt angle range: The tilt angle range refers to the specific range that the tilt angle formed between the pressure distribution measurement system and the ground should meet after the pressure distribution measurement system is installed on the vehicle to be tested. Because the drainage of tires on slippery roads has a certain proportional angle with the ground, too large or too small a tilt will cause deviation or distortion of the measurement data. For example, if the tilt angle between the pressure distribution measurement system and the ground is too large, the pressure distribution of the drainage of tires on wet roads on the pressure distribution measurement system will be uneven. If the tilt angle between the pressure distribution measurement system and the ground is too small, the pressure distribution of the drainage of tires on wet roads on the pressure distribution measurement system will also be uneven. Because the pressure distribution measurement system is installed on the vehicle to be tested, the tilt angle between the pressure distribution measurement system and the ground is only related to the shape and installation position of the vehicle, so the vehicle to be tested needs to be processed based on the tilt angle range to determine an approximate area based on the tilt angle range (the first recommended installation area).

[0031] Distance range: The distance range refers to the specific interval that the distance between the installation location of the pressure distribution measurement system and the tire to be tested should meet. The choice of distance has a significant impact on measurement accuracy. Distances that are too close or too far will affect the accuracy of the measurement results. For example, if the installation location of the pressure distribution measurement system is too close to the tire to be tested, the tire drainage will not be effectively splashed onto the pressure distribution measurement system on slippery roads. The distance range is the distance between the tire to be tested and the pressure distribution measurement system. Changes in tire model will affect the distance between the tire to be tested and the pressure distribution measurement system. Therefore, it is necessary to process the vehicle to be tested and the tire to be tested based on the distance range to determine an approximate area based on the distance range (the second recommended installation area).

[0032] The tilt angle range and distance range are determined manually. For example, professionals determine based on historical research data that the tilt angle range should be between 5° and 12°, and the distance range should be between 20cm and 50cm.

[0033] Step 12: Process the model of the vehicle to be detected based on the tilt angle range to determine a first recommended installation area; wherein the first recommended installation area is an installation area determined based on the tilt angle range.

[0034] According to the tilt angle range determined in step 11 and in combination with the model characteristics of the vehicle to be inspected, a first recommended installation area suitable for installing the pressure distribution measurement system is determined.

[0035] The processing process may be to set up a vehicle model installation table (recording various vehicle models and corresponding first recommended installation areas), and determine the first recommended installation area by consulting the vehicle model installation table.

[0036] Step 13: Process the model of the vehicle to be detected and the model of the tire to be monitored based on the distance range to determine a second recommended installation area, wherein the second recommended installation area is an installation area determined based on the distance range.

[0037] According to the distance range determined in step 11, combined with the model of the vehicle to be detected and the model characteristics of the tire to be monitored, a second recommended installation area suitable for installing the pressure distribution measurement system is further determined.

[0038] The processing process can be to set up a vehicle model and tire model installation table (recording various models of vehicles, various models of tires and corresponding second recommended installation areas), and determine the second recommended installation area by consulting the vehicle model and tire model installation table.

[0039] Step 14: Determine a recommended installation area based on the first recommended installation area and the second recommended installation area.

[0040] In this step, based on the first recommended installation area and the second recommended installation area, a recommended installation area that meets both the tilt angle requirement and the distance requirement is determined, that is, the overlapping area of ​​the first recommended installation area and the second recommended installation area.

[0041] In one case, it was determined that the tilt angle range was between 5° and 12°, and the distance range was an area extending 30cm to 50cm from the outer edge of the tire side. After consulting the vehicle model installation table, it was found that for a Type A sedan, the inner side of the rear wheel arch near the suspension system was the first recommended installation area, and the tilt angle was between 5° and 12°. After consulting the vehicle model and tire model installation table, for a 225 / 50R17 tire used with a Type A sedan, the outer side of the rear wheel arch near the tire sidewall was the second recommended installation area, and the distance range was between 30cm to 50cm from the outer edge of the tire side. There is an overlapping area between the inner side of the rear wheel arch near the suspension system (first recommended installation area) and the outer side of the rear wheel arch near the tire sidewall (second recommended installation area), and this area is the recommended installation area.

[0042] Step 2: Install the pressure distribution measurement system on the vehicle to be tested based on the recommended installation area, and determine the relative position of the pressure distribution measurement system with respect to the tire to be tested.

[0043] In step 1, the recommended installation area for the pressure distribution measurement system is determined. This area is based on a comprehensive consideration of the model of the tire to be tested and the model of the vehicle to be tested. It is intended to ensure that the measurement system can accurately and stably collect tire pressure distribution data.

[0044] First, locate the corresponding mounting points on the vehicle to be tested based on the specific locations of the recommended installation areas. These points are typically located on the vehicle chassis or near the wheel hub. Then, use the installation tool to securely mount the pressure distribution measurement system to the vehicle.

[0045] After installation, determine the relative position of the pressure distribution measurement system to the tire being tested. Specifically, measure and record parameters such as the distance between the pressure distribution measurement system and the tire, the horizontal offset, and the angle between the pressure distribution measurement system and the tire centerline. These parameters will be used for subsequent data calibration and correction to ensure the accuracy of the measurement results.

[0046] In one example, take a certain model of small car and a certain brand of tires used with it.

[0047] Based on the recommended installation area, a suitable installation point was found near the inside of the rear wheel arch of a small sedan. Using specialized installation tools and materials, the various components of the pressure distribution measurement system were securely mounted on the vehicle. After installation, the specific installation location of the pressure distribution measurement system on the vehicle was recorded, such as "inside the rear wheel arch, 30 cm from the centerline of the wheel hub." Measuring tools were also used to measure and record information such as the relative distance and angle between the receiving device and the tire for subsequent data processing and analysis.

[0048] Step 3: Based on the image acquisition system, the road surface condition in the driving direction of the vehicle to be detected is obtained, and the vehicle condition of the vehicle to be detected is retrieved; wherein the vehicle condition includes at least one of the following: vehicle speed, tire temperature and tire pressure, and the road surface condition includes at least one of the following: wet and dry.

[0049] Step 31: Acquire road surface image data of the road surface in the driving direction of the vehicle to be detected based on the image acquisition system.

[0050] An image acquisition system (such as a high-definition camera) mounted on the vehicle to be inspected captures real-time images of the road surface in the direction of the vehicle's travel. The image acquisition system should have a high resolution and frame rate to ensure clear and continuous recording of changes in road conditions.

[0051] Step 32: Determine whether the road surface in the driving direction belongs to a preset detection terrain based on the road surface image data; wherein the detection terrain includes at least one of the following: cement road and asphalt road.

[0052] The acquired road image data undergoes preprocessing, such as denoising and enhancement, to improve image quality. Then, based on preset test terrain classification criteria (e.g., cement road, asphalt road, etc.), image recognition technology is used to determine whether the current road surface falls within the test terrain. The goal is to select road types suitable for subsequent road condition assessment and avoid ineffective testing on non-test terrain.

[0053] Step 33: When the road surface belongs to the detection terrain, the road surface image data is processed based on a preset image recognition algorithm to determine the road surface state.

[0054] When the current road surface is determined to be a test terrain, the preset image recognition algorithm is further used to process the road surface image data. By analyzing the texture, color and other characteristics of the road surface image, it is determined whether the road surface condition is wet or dry.

[0055] Step 34: Connect to the vehicle to be tested to retrieve the vehicle speed, tire temperature, and tire pressure of the vehicle to be tested.

[0056] Establish a communication connection with the vehicle to be tested and retrieve real-time vehicle status information, including speed, tire temperature, and tire pressure. This information is crucial for assessing tire wear and forming a critical basis for driving strategy. When retrieving vehicle status, ensure data accuracy and real-time availability to avoid misjudgments due to data lag or errors.

[0057] In one example, a certain model of small car and a certain brand of tire used with it are used as an example for specific implementation.

[0058] A high-definition camera is installed on the front of a small sedan to capture real-time images of the road surface in the direction of the vehicle's travel. The camera's resolution is set to 1920x1080 pixels and the frame rate is 30 frames per second to ensure clear and continuous images. After preprocessing the acquired road image data, it is judged using the preset detection terrain classification standards (including cement roads and asphalt roads). Using image recognition technology, the current road surface is identified as asphalt road, which belongs to the detection terrain. When the current road surface is determined to be asphalt road, the road surface image data is further processed using the preset image recognition algorithm. By analyzing the texture and color characteristics of the road surface image, the road surface condition is determined to be dry. By establishing a communication connection with the small sedan, the vehicle status information is retrieved in real time. The acquired vehicle speed is 80 km / h, the tire temperature is 25°C, and the tire pressure is 2.2 bar.

[0059] Step 4: When the road surface is slippery, the drainage condition of the tire to be tested is detected based on the pressure distribution measurement system to determine the pressure detection data.

[0060] After confirming the road is slippery, the pressure distribution measurement system is activated. This system, equipped with sensors sensitive to water flow pressure, detects the dynamic pressure data generated by the water flow on the pressure distribution measurement system. During the measurement process, the force distribution measurement system records the pressure values ​​of each sensor at different time points, generating detailed pressure measurement data.

[0061] In one case, a specific implementation was carried out using a certain truck and its matching new energy tires as an example.

[0062] As the truck drives, it captures real-time road images using a high-definition camera and uses image recognition algorithms to determine road conditions. If water is detected and the reflectivity increases, the truck determines the road is slippery.

[0063] The pressure distribution measurement system was immediately activated, with a sampling frequency of 150 times per second, ensuring that every pressure change caused by the water flow could be accurately captured. Pressure measurement data was generated as the truck drove.

[0064] Step 5: Process the vehicle speed, pressure detection data, and relative position based on a preset wear degree calculation formula to determine the wear degree of the tire to be detected.

[0065] Step 51 : Compare the preset simulation database based on the road surface condition to retrieve the speed-pressure formula corresponding to the pressure distribution measurement system of the tire to be tested in the non-wear state.

[0066] First, based on the current road conditions (e.g., dry, wet, etc.), a speed-pressure formula matching the tire model and road conditions under wear is searched in a pre-set simulation database. This formula describes the theoretical pressure values ​​generated by a wear-free tire on the pressure distribution measurement system at different vehicle speeds.

[0067] For example, based on the tire model "XYZ123" and the "wet road" condition, the corresponding wear-free state speed-pressure formula retrieved from the simulation database is P=f(v,θ), where P is the pressure, v is the vehicle speed, and θ is the relative position parameter between the pressure distribution measurement system and the tire.

[0068] Step 52: Process the velocity-pressure formula based on the relative distance to determine an adaptive velocity-pressure formula.

[0069] Taking into account that the relative position between the pressure distribution measurement system and the tire (such as whether the sensor is installed on the inside, outside, top or bottom of the tire, etc.) may affect the measured pressure value, the step adjusts the speed-pressure formula according to the actual relative position to obtain an adaptive speed-pressure formula that adapts to the current position.

[0070] For example, if the sensor of the pressure distribution measurement system is installed on the rear side of the tire, the speed-pressure formula is fine-tuned based on historical data and experience to obtain the adaptive speed-pressure formula P ′ =f ′ (v,θ ′ ), where θ ′ is the adjusted relative position parameter.

[0071] Step 53: Substitute the tire speed into the adaptive speed-pressure formula to determine the non-wear pressure detection data corresponding to the pressure distribution measurement system of the tire to be detected in the non-wear state.

[0072] The real-time measured vehicle speed data is substituted into the adaptive speed pressure formula to calculate the theoretical pressure value that a non-wear tire should produce at the current vehicle speed and relative position, namely the non-wear pressure detection data.

[0073] If the current vehicle speed is 60km / h, substitute the adaptive speed pressure formula P ′ =f ′ (v,θ ′ ), calculate the theoretical pressure value P under non-wear state 60 ′ .

[0074] Step 54 : Compare the non-wear pressure detection data with the pressure detection data to determine the wear degree of the tire to be detected.

[0075] The actual pressure test data is compared with the theoretical pressure value in a non-worn state. Based on the difference between the two, the wear degree of the tire is evaluated using a preset wear degree calculation formula. The greater the difference, the more severe the tire wear.

[0076] The actual measured pressure detection data is P 实测 , and the theoretical pressure value P under non-wear state 60 ′ By comparison, we found that P 实测 <P 60 ′ , according to the preset wear degree calculation formula (wear degree = (P 60 ′ -P 实测 ) / P 60 ′ × 100%), the wear degree of the tire is calculated to be 10%.

[0077] Step 6: Process the vehicle speed, pressure detection data, and tire pressure based on a preset wear judgment algorithm to determine the wear type and wear area of ​​the tire to be detected; wherein the wear type includes regular wear and irregular wear.

[0078] Step 61: Determine whether the tire to be tested is within a preset pressure range based on the tire pressure.

[0079] First, check whether the tire pressure is within the normal range. Tire pressure is an important factor affecting tire wear. Too high or too low tire pressure can cause irregular wear.

[0080] For example, if the preset tire pressure range is 2.0 to 2.5 bar, the tire pressure data is read in real time. If the reading is 2.3 bar, the tire is judged to be within the normal pressure range; if the reading is 2.8 bar or 1.8 bar, the tire pressure is judged to be too high or too low, respectively.

[0081] Step 62: If the tire pressure is not within the pressure range, the system determines that the tire under test is experiencing irregular wear based on the tire pressure, and determines the wear area of ​​the tire under test based on the tire pressure. If the tire pressure is abnormal, the system directly determines that the tire has irregular wear and further infers the wear area based on the specific tire pressure. Steps 621 and 622 are described in detail.

[0082] Step 621: When the tire pressure is greater than the pressure range, the wear area of ​​the tire to be tested is the inner side of the tire to be tested.

[0083] For example, if the tire pressure reading is 2.8 bar, which exceeds the preset range, the system determines that the inside of the tire may be under excessive pressure due to overinflation, resulting in increased wear on the inside.

[0084] Step 622: When the tire pressure is less than the pressure range, the wear area of ​​the tire to be tested is the outer two sides of the tire to be tested.

[0085] For example, if the tire pressure reading is 1.8 bar, which is lower than the preset range, the system will determine that the outer sides of the tire may be under-inflated, resulting in increased contact area with the ground, causing severe wear on the outer sides.

[0086] Step 63: When the tire pressure is within the pressure range, the pressure detection data is processed based on the vehicle speed and tire circumference to obtain pressure detection cycle data at an average speed. The wear type of the tire to be detected is determined based on the changes in the pressure detection cycle data. Steps 631 to 635 are described in detail.

[0087] Step 631: Process the pressure detection data based on the vehicle speed to obtain average pressure detection data. During actual driving, changes in vehicle speed will affect the contact pressure distribution between the tire and the ground, and thus affect the tire's drainage capacity and the water velocity of drainage. In order to accurately analyze the wear type of the tire, it is necessary to adjust the pressure detection data at different vehicle speeds to the same reference speed to eliminate the impact of vehicle speed changes on the pressure detection data. This step processes the original pressure detection data through mathematical methods (such as interpolation and regression) so that all data are equivalent to the measurement results at a fixed speed (such as the standard test speed).

[0088] In a specific example, the standard test speed is 60km / h, and the tire pressure detection data of the vehicle at different speeds (such as 30km / h, 60km / h, and 90km / h) are recorded. Then, mathematical methods (such as linear interpolation) are used to adjust these data to equivalent values ​​at a speed of 60km / h. For example, for a certain pressure detection value at a speed of 30km / h, the system will calculate an equivalent pressure detection value at a speed of 60km / h based on its relationship with the speed of 60km / h. In this way, the data at all speeds are converted to equivalent data at a speed of 60km / h, which is convenient for subsequent analysis.

[0089] Step 632: Process the average pressure detection data based on the tire circumference as a period to determine pressure detection cycle data.

[0090] During driving, the tire's pressure distribution exhibits periodic changes as the tire rotates. This step uses the tire's circumference as the period to segment the average pressure measurement data, extracting the data within each period to form the pressure measurement cycle data. This allows for a more intuitive observation of how tire pressure changes with the rotation cycle.

[0091] In a specific example, it is known that the circumference of the tire is 2 meters, and the average pressure detection data is segmented based on one rotation of the tire (ie, 2 meters) as a period.

[0092] Step 633: Determine whether the tire under test exhibits regular wear based on the changing state of the pressure test cycle data. Regular wear typically manifests as stable, predictable changes in the tire pressure test cycle data. Irregular wear, on the other hand, may result in irregular fluctuations or abnormal changes in the data. This step preliminarily determines the tire wear type by analyzing the changing state of the pressure test cycle data.

[0093] Step 634: If the pressure test cycle data image is not stable, the tire under test is determined to be experiencing irregular wear. When the pressure test cycle data image is not stable, i.e., the data fluctuates significantly and irregularly, it generally indicates irregular wear of the tire. This wear may be caused by factors such as tire imbalance, poor road conditions, and driving habits.

[0094] Step 635: If the pressure test cycle data image is stable, the tire under test is determined to be experiencing regular wear. A stable pressure test cycle data image, i.e., if the data changes regularly with minimal fluctuations, generally indicates regular tire wear. This type of wear is a natural phenomenon during normal tire use and generally does not result in a significant decrease in tire performance.

[0095] In a specific example, observe the changes in the pressure test cycle data. If the data shows stable periodic changes, it is judged that the tire is wearing regularly. If the data fluctuates irregularly, such as a sudden increase or decrease in the data over multiple cycles, it may indicate irregular tire wear.

[0096] Step 64: When the tire to be tested is irregularly worn, the tire to be tested is processed based on the change status of the pressure detection cycle data to determine the wear area of ​​the tire to be tested.

[0097] Steps 641 to 645 are described in detail.

[0098] Step 641: Connect a pressure sensor based on the pressure distribution measurement system.

[0099] The pressure distribution measurement system is the foundation for tire pressure monitoring, and the pressure sensor is the core component of this system. First, ensure a stable and reliable connection between the pressure distribution measurement system and the pressure sensor to accurately collect tire pressure data during driving.

[0100] Step 642: Determine an initial area based on the pressure sensor, and divide the tire area according to a preset number of divisions and the order of the tire's forward direction to determine a plurality of tire sub-areas.

[0101] To more accurately analyze tire wear, the tire is divided into multiple sub-areas. Using the pressure sensor as a reference point, the tire surface is divided into multiple equal-sized sub-areas along the tire's forward direction, based on a preset number of divisions (e.g., 4 or 8).

[0102] For example, taking the pressure sensor as the starting point, the tire surface is divided into four sub-areas, each of which occupies 1 / 4 of the tire circumference.

[0103] Step 643: When the pressure sensor passes through the preset trigger point, the pressure detection cycle data is intercepted to obtain the unit pressure detection cycle.

[0104] As the tire moves, the pressure sensor continuously collects pressure data. To analyze pressure changes in various subregions of the tire, this step sets a trigger point (e.g., the starting point of each tire rotation). When the pressure sensor passes this trigger point, the pressure distribution measurement system captures a complete pressure detection cycle as a unit pressure detection cycle. It should be noted that this unit pressure detection cycle is the data from the pressure distribution measurement system, not the pressure sensor.

[0105] For example, the system sets the starting point of each tire rotation as the trigger point. When the pressure sensor passes this point, the pressure distribution measurement system automatically captures the pressure data from this point to the next trigger point, forming a unit pressure detection cycle.

[0106] Step 644: Process the unit pressure detection period based on the number of divisions to determine a plurality of sub-unit pressure detection periods; wherein the plurality of sub-unit pressure detection periods correspond one-to-one to the plurality of tire sub-regions.

[0107] To analyze the pressure changes in each tire sub-region, the unit pressure detection cycle is further divided into multiple sub-unit pressure detection cycles. Each sub-unit pressure detection cycle corresponds to a tire sub-region, so that the pressure changes in each sub-region can be analyzed separately.

[0108] For example, for a tire divided into four sub-regions, the unit pressure detection period is also divided into four sub-unit pressure detection periods, and each sub-unit pressure detection period corresponds to one tire sub-region.

[0109] Step 645: Mark the tire sub-region with wear greater than a preset wear threshold as a wear region.

[0110] By comparing the pressure parameters of each tire sub-area with a preset wear threshold, it is possible to identify which sub-areas have abnormally high pressures, thereby determining these sub-areas as wear areas.

[0111] For example, a wear threshold is set. The average pressure of each tire sub-area is then compared to the threshold. If the average pressure of a sub-area exceeds the threshold, the system marks it as a wear area and displays it on the interface, allowing the driver and passengers to take timely action.

[0112] Step 7: Determine the optimal driving strategy for the vehicle to be inspected based on the wear degree, wear type, and road surface condition.

[0113] Step 71: Process the road surface condition based on a preset image processing model to determine the degree of water accumulation.

[0114] Road surface condition is one of the important factors affecting vehicle driving safety, especially water accumulation. The collected road surface images are processed through a preset image processing model to accurately identify and quantify the degree of water accumulation on the road surface.

[0115] For example, a convolutional neural network (CNN) is used as an image processing model to process road images captured by on-board cameras in real time. Through model training, it can automatically identify waterlogged areas in the images and calculate their area and depth, thereby providing a certain degree of accuracy in determining the extent of waterlogging.

[0116] Step 72: Compare the preset friction coefficient table based on the degree of water accumulation and the detected terrain to determine the road surface friction coefficient.

[0117] The road surface friction coefficient is an important indicator for evaluating a road's skid resistance. It is affected by various factors, including road material, humidity, and temperature. The friction coefficient for current road conditions is determined by consulting a pre-set friction coefficient table, combining information about water accumulation and the inspected terrain.

[0118] Step 73: Compare the preset optimal driving recommendation model based on the road surface friction coefficient, wear degree, and wear type to determine the optimal driving strategy for the vehicle to be tested.

[0119] In a specific case, an optimal driving strategy is determined based on the driving strategy recommendations output by the model and combined with other factors of the current driving environment (such as traffic conditions, weather conditions, etc.).

[0120] When the road friction coefficient is low and tire wear is high, it recommends reducing speed, increasing braking distance, and avoiding aggressive driving behaviors such as sharp turns. This strategy is then communicated to the driver through the in-vehicle display or voice prompts, allowing them to adjust their driving behavior in a timely manner.

[0121] The above is an embodiment of the method proposed by the present invention. Based on the same inventive concept, the embodiment of the present invention also provides a new energy tire wear degree detection device for slippery roads, the structure of which is as follows: Figure 2 shown.

[0122] Figure 2 This is a schematic diagram of the internal structure of a new energy tire wear detection device for wet and slippery roads provided by an embodiment of the present invention. Figure 2 As shown, the equipment includes:

[0123] at least one processor 201;

[0124] and, a memory 202 communicatively coupled to the at least one processor;

[0125] The memory 202 stores instructions that can be executed by at least one processor, and the instructions are executed by the at least one processor 201 to enable the at least one processor 201 to:

[0126] Determine the tire to be tested and the vehicle to be tested, and determine the recommended installation area based on the model of the tire to be tested and the model of the vehicle to be tested; wherein the recommended installation area is used to install a preset pressure distribution measurement system, a pressure sensor and a temperature sensor are set in the tire to be tested, and the vehicle to be tested is provided with an image acquisition system; install the pressure distribution measurement system to the vehicle to be tested based on the recommended installation area, and determine the relative position of the pressure distribution measurement system relative to the tire to be tested; obtain the road surface state in the driving direction of the vehicle to be tested based on the image acquisition system, and retrieve the vehicle state of the vehicle to be tested; wherein the vehicle state includes at least one of the following: vehicle speed, tire temperature and tire pressure, and the road surface condition includes at least one of the following: wet and dry; when the road surface condition is wet, the drainage condition of the tire to be tested is detected based on the pressure distribution measurement system to determine the pressure detection data; the vehicle speed, pressure detection data and relative position are processed based on a preset wear degree calculation formula to determine the wear degree of the tire to be tested; the vehicle speed, pressure detection data and tire pressure are processed based on a preset wear judgment algorithm to determine the wear type and wear area of ​​the tire to be tested; wherein the wear type includes regular wear and irregular wear; the preferred driving strategy of the vehicle to be tested is determined based on the wear degree, wear type and road surface condition.

[0127] Some embodiments of the present invention provide corresponding Figure 1 A non-volatile computer storage medium for detecting wear of new energy tires on slippery roads stores computer executable instructions, wherein the computer executable instructions are set to:

[0128] Determine the tire to be tested and the vehicle to be tested, and determine the recommended installation area based on the model of the tire to be tested and the model of the vehicle to be tested; wherein the recommended installation area is used to install a preset pressure distribution measurement system, a pressure sensor and a temperature sensor are set in the tire to be tested, and the vehicle to be tested is provided with an image acquisition system; install the pressure distribution measurement system to the vehicle to be tested based on the recommended installation area, and determine the relative position of the pressure distribution measurement system relative to the tire to be tested; obtain the road surface state in the driving direction of the vehicle to be tested based on the image acquisition system, and retrieve the vehicle state of the vehicle to be tested; wherein the vehicle state includes at least one of the following: vehicle speed, tire temperature and tire pressure, and the road surface condition includes at least one of the following: wet and dry; when the road surface condition is wet, the drainage condition of the tire to be tested is detected based on the pressure distribution measurement system to determine the pressure detection data; the vehicle speed, pressure detection data and relative position are processed based on a preset wear degree calculation formula to determine the wear degree of the tire to be tested; the vehicle speed, pressure detection data and tire pressure are processed based on a preset wear judgment algorithm to determine the wear type and wear area of ​​the tire to be tested; wherein the wear type includes regular wear and irregular wear; the preferred driving strategy of the vehicle to be tested is determined based on the wear degree, wear type and road surface condition.

[0129] The various embodiments of the present invention are described in a progressive manner. Similar portions between the various embodiments can be referred to in conjunction with each other. Each embodiment focuses on the differences between the other embodiments. In particular, the IoT device and medium embodiments are generally similar to the method embodiments, so their description is relatively simple. For relevant portions, refer to the description of the method embodiments.

[0130] The system and medium provided in the embodiments of the present invention correspond one-to-one to the method. Therefore, the system and medium also have similar beneficial technical effects to their corresponding methods. Since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the system and medium will not be repeated here.

[0131] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0132] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0133] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0134] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0135] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0136] Memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0137] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0138] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0139] The above are merely embodiments of the present invention and are not intended to limit the present invention. It will be apparent to those skilled in the art that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention are intended to be included within the scope of the claims of the present invention.

Claims

1. A method for detecting the wear degree of new energy tires on slippery roads, characterized in that: The method comprises: Determining a tire to be tested and a vehicle to be tested, and determining a recommended installation area based on the model of the tire to be tested and the model of the vehicle to be tested; wherein the recommended installation area is used to install a preset pressure distribution measurement system, the tire to be tested is provided with a pressure sensor and a temperature sensor, and the vehicle to be tested is provided with an image acquisition system; installing the pressure distribution measurement system on the vehicle to be inspected based on the recommended installation area, and determining a relative position of the pressure distribution measurement system with respect to the tire to be inspected; Acquiring a road surface condition in the direction of travel of the vehicle to be detected based on the image acquisition system, and retrieving a vehicle status of the vehicle to be detected; wherein the vehicle status includes at least one of the following: vehicle speed, tire temperature, and tire pressure, and the road surface condition includes at least one of the following: wet and dry; When the road surface condition is slippery, detecting the drainage condition of the tire to be detected based on the pressure distribution measurement system to determine pressure detection data; Processing the vehicle speed, the pressure detection data, and the relative position based on a preset wear degree calculation formula to determine the wear degree of the tire to be detected; Processing the vehicle speed, the pressure detection data, and the tire pressure based on a preset wear judgment algorithm to determine the wear type and wear area of ​​the tire to be detected; wherein the wear type includes regular wear and irregular wear; A preferred driving strategy of the vehicle to be detected is determined based on the wear degree, the wear type, and the road surface condition.

2. The method for detecting the wear degree of new energy tires on slippery roads according to claim 1, characterized in that: Determining a tire to be tested and a vehicle to be tested, and determining a recommended installation area based on the model of the tire to be tested and the model of the vehicle to be tested, specifically including: Determine a preset tilt angle range and a preset distance range; wherein the tilt angle range is the tilt angle range between the pressure distribution measurement system installed on the vehicle to be detected and the ground, and the distance range is the distance range between the pressure distribution measurement system installed on the vehicle to be monitored and the tire to be detected; Processing the model of the vehicle to be detected based on the tilt angle range to determine a first recommended installation area; wherein the first recommended installation area is an installation area determined based on the tilt angle range; Processing the model of the vehicle to be detected and the model of the tire to be monitored based on the distance range to determine a second recommended installation area, wherein the second recommended installation area is an installation area determined based on the distance range; The recommended installation area is determined based on the first recommended installation area and the second recommended installation area.

3. The method for detecting the wear degree of new energy tires on slippery roads according to claim 1, characterized in that: Acquiring a road surface state of a road surface in a driving direction of the vehicle to be detected based on the image acquisition system and retrieving a vehicle state of the vehicle to be detected specifically includes: Acquiring road surface image data of the road surface in the driving direction of the vehicle to be detected based on the image acquisition system; Determining whether the road surface in the driving direction belongs to a preset detection terrain based on the road surface image data; wherein the detection terrain includes at least one of the following: cement road, asphalt road; When the road surface belongs to the detection terrain, processing the road surface image data based on a preset image recognition algorithm to determine the road surface state; Connect the vehicle to be detected to retrieve the vehicle speed, tire temperature and tire pressure of the vehicle to be detected.

4. The method for detecting the wear degree of new energy tires on slippery roads according to claim 1, characterized in that: Processing the road friction coefficient, the vehicle speed, the pressure detection data, and the relative position based on a preset wear degree calculation formula to determine the wear degree of the tire to be detected specifically includes: Comparing the road surface condition with a preset simulation database to retrieve a speed-pressure formula corresponding to the pressure distribution measurement system of the tire to be tested in a wear-free state; processing the velocity-pressure formula based on the relative distance to determine an adaptive velocity-pressure formula; Substituting the tire speed into the adaptive speed-pressure formula to determine non-wear pressure detection data corresponding to the pressure distribution measurement system of the tire to be detected in a non-worn state; The non-wear pressure detection data is compared based on the pressure detection data to determine the wear degree of the tire to be detected.

5. The method for detecting the wear degree of new energy tires on slippery roads according to claim 1, characterized in that: Processing the vehicle speed, the pressure detection data, and the tire pressure based on a preset wear judgment algorithm to determine the wear type and wear area of ​​the tire to be detected specifically includes: determining whether the tire to be tested is within a preset pressure range based on the tire pressure; When the tire pressure is not within the pressure range, determining that the tire to be detected is irregularly worn based on the tire pressure, and determining the wear area of ​​the tire to be detected based on the value of the tire pressure; When the tire pressure is within the pressure range, processing the pressure detection data based on the vehicle speed and the tire circumference to obtain pressure detection cycle data at an average speed, and determining the wear type of the tire to be detected based on a change in the pressure detection cycle data; When the tire to be detected is irregularly worn, the tire to be detected is processed based on a change condition of the pressure detection cycle data to determine a worn area of ​​the tire to be detected.

6. The method for detecting the wear degree of new energy tires on slippery roads according to claim 5, characterized in that: When the tire pressure is not within the pressure range, determining that the tire to be detected is irregularly worn based on the tire pressure, and judging the wear area of ​​the tire to be detected based on the value of the tire pressure, specifically includes: When the tire pressure is greater than the pressure range, the wear area of ​​the tire to be tested is the inner side of the tire to be tested; When the tire pressure is less than the pressure range, the wear areas of the tire to be tested are the outer two sides of the tire to be tested.

7. The method for detecting the wear degree of new energy tires on slippery roads according to claim 5, characterized in that: When the tire pressure is within the pressure range, processing the pressure detection data based on the vehicle speed and the tire circumference to obtain pressure detection cycle data at an average speed, and determining the wear type of the tire to be detected based on a change in the pressure detection cycle data, specifically including: processing the pressure detection data based on the vehicle speed to obtain average pressure detection data; Processing the average pressure detection data based on the tire circumference as a period to determine pressure detection cycle data; Determining whether the tire to be tested is regularly worn based on a change state of the pressure detection period data; When the pressure detection cycle data image is not stable, determining that the tire to be detected is irregularly worn; When the pressure detection period data image is stable, it is determined that the tire to be detected is regularly worn.

8. The method for detecting the wear degree of new energy tires on slippery roads according to claim 7, characterized in that: When the tire to be detected is irregularly worn, processing the tire to be detected based on a change in the pressure detection cycle data to determine a wear area of ​​the tire to be detected specifically includes: Connecting the pressure sensor based on the pressure distribution measurement system; Determining an initial area based on the pressure sensor, and dividing the tire area according to a preset number of divisions and the order of the tire's forward direction to determine a plurality of tire sub-areas; When the pressure sensor passes through a preset trigger point, intercepting the pressure detection cycle data to obtain a unit pressure detection cycle; processing the unit pressure detection period based on the number of divisions to determine a plurality of sub-unit pressure detection periods; wherein the plurality of sub-unit pressure detection periods correspond one-to-one to the plurality of tire sub-regions; Tire sub-areas with wear greater than a preset wear threshold are marked as worn areas.

9. The method for detecting the wear degree of new energy tires on slippery roads according to claim 1, characterized in that: Determining a preferred driving strategy for the vehicle to be detected based on the wear degree, the wear type, and the road surface condition specifically includes: processing the road surface condition based on a preset image processing model to determine the degree of water accumulation; Comparing the water accumulation level and the detected terrain with a preset friction coefficient table to determine a road friction coefficient; A preset preferred driving recommendation model is compared based on the road surface friction coefficient, the wear degree, and the wear type to determine a preferred driving strategy for the vehicle to be tested.

10. A new energy tire wear detection device for wet and slippery roads, characterized in that: The device comprises: at least one processor; and, a memory communicatively coupled to the at least one processor; The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to: Determining a tire to be tested and a vehicle to be tested, and determining a recommended installation area based on the model of the tire to be tested and the model of the vehicle to be tested; wherein the recommended installation area is used to install a preset pressure distribution measurement system, the tire to be tested is provided with a pressure sensor and a temperature sensor, and the vehicle to be tested is provided with an image acquisition system; installing the pressure distribution measurement system on the vehicle to be inspected based on the recommended installation area, and determining a relative position of the pressure distribution measurement system with respect to the tire to be inspected; Acquiring a road surface condition in the direction of travel of the vehicle to be detected based on the image acquisition system, and retrieving a vehicle status of the vehicle to be detected; wherein the vehicle status includes at least one of the following: vehicle speed, tire temperature, and tire pressure, and the road surface condition includes at least one of the following: wet and dry; When the road surface condition is slippery, detecting the drainage condition of the tire to be detected based on the pressure distribution measurement system to determine pressure detection data; Processing the vehicle speed, the pressure detection data, and the relative position based on a preset wear degree calculation formula to determine the wear degree of the tire to be detected; Processing the vehicle speed, the pressure detection data, and the tire pressure based on a preset wear judgment algorithm to determine the wear type and wear area of ​​the tire to be detected; wherein the wear type includes regular wear and irregular wear; A preferred driving strategy of the vehicle to be detected is determined based on the wear degree, the wear type, and the road surface condition.

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