Wheel deviation resistance energy consumption monitoring method and device based on new energy automobile

Abstract

The invention discloses a wheel deviation resistance energy consumption monitoring method and device based on a new energy automobile, belongs to the technical field of tires of new energy automobiles, and aims to solve the problems that online monitoring is difficult to realize in the running process of an existing wheel deviation resistance monitoring method of the new energy automobile, and the energy consumption is low. And extra energy consumption caused by wheel deviation resistance is also easy to influence the prediction of the remaining mileage. The method comprises the steps that tire three-dimensional modeling sensing based on linear driving is conducted on the wheel running state of the new energy automobile, and abnormal wheel deviation tires of the new energy automobile are determined; according to geometric characteristics and mechanical characteristics between the tread and the ground, performing characteristic parameter calculation processing on the tread ground contact plane graph under an extrusion area to obtain an abnormal wheel deviation parameter of the abnormal wheel deviation tire; global contact coupling rigidity calculation is carried out on the abnormal wheel deviation parameters, and the tire stress of the abnormal wheel deviation tire is determined; and inputting the tire stress into the tire rolling resistance model to obtain the tire rolling resistance of the tire with abnormal wheel deviation.

Description

Technical Field

[0001] The present application relates to the field of new energy vehicle tires, and in particular to a method and device for monitoring wheel pulley resistance energy consumption based on new energy vehicles. Background Art

[0002] As new energy vehicles become more and more popular, their configuration, safety and intelligence are also gradually improving. However, during long-term use, wheels are prone to deviation. The main reasons for this are:

[0003] 1) Four-wheel alignment misalignment: After a vehicle has been running for a period of time, the four-wheel alignment values ​​will change, especially in bad road conditions or when the vehicle frequently goes up and down curbs. This will cause the vehicle to deviate.

[0004] 2) Tire problems: Inconsistent tire pressure: If the tire pressure on both sides of the car is different, for example, the left tire has less pressure and the right tire has more pressure, the vehicle will deviate. Inconsistent tire tread wear: If the degree of tire tread wear is inconsistent, it will also cause the vehicle to deviate. The tire position needs to be replaced or adjusted. Different tire models: The four tires should be of the same model as much as possible, at least the tires on the front and rear axles must be the same, and the tread depth must be consistent.

[0005] 3) Suspension system problems: Failure of the front shock absorber: Failure of the front shock absorber will cause the two suspension heights to be different during driving, resulting in uneven force, which will cause the vehicle to run off the track. Suspension system damage: Loose or damaged connections in the suspension system, such as damage or looseness of shock absorbers, ball heads, suspension arms, etc., will cause the vehicle to run off the track. Deformation of the front shock absorber spring: The deformation of the two sides of the front shock absorber spring is inconsistent, resulting in inconsistent buffering, causing the vehicle to run off the track.

[0006] In the existing technology, the detection of wheel deviation is generally based on the driver's own driving experience or can only be used for online warning for a single fixed situation, etc., and real-time online monitoring cannot be performed. In other words, it is difficult to realize online monitoring of wheel deviation during vehicle operation, which increases tire resistance and battery energy consumption of new energy vehicles. It is impossible to accurately predict the remaining mileage and provide the driver with effective wheel deviation warning information, which easily reduces the driver's driving experience of the intelligent new energy vehicle, and the wheel deviation problem cannot be corrected in time, which is also likely to cause safety hazards. Summary of the invention

[0007] The embodiments of the present application provide a method and device for monitoring wheel pulley resistance energy consumption based on new energy vehicles, which are used to solve the following technical problems: the wheel pulley resistance monitoring of existing new energy vehicles is difficult to achieve online monitoring while the vehicle is driving, and the additional energy consumption caused by wheel pulley resistance is also likely to affect the prediction of the remaining mileage, which is not conducive to improving the driving experience and vehicle safety performance.

[0008] The present application embodiment adopts the following technical solutions:

[0009] On the one hand, an embodiment of the present application provides a method for monitoring wheel deviation resistance and energy consumption based on new energy vehicles, including: based on a magnetic encoder in a suspension system of a new energy vehicle, the wheel running state of the new energy vehicle is perceived based on three-dimensional tire modeling under straight-line driving, and the abnormal wheel deviation tire of the new energy vehicle is determined; through a preset visual model, the tire with abnormal wheel deviation is identified and segmented in the tire body deformation area to obtain a tread contact plane diagram; and based on the geometric characteristics and mechanical characteristics between the tread and the ground, the characteristic parameters of the tread contact plane diagram in the extrusion area are calculated and processed to obtain the abnormal wheel deviation parameters of the abnormal wheel deviation tire; based on the tire characterization parameters of the new energy vehicle, the abnormal wheel deviation tire is detected. The parameters are used to calculate the global contact coupling stiffness between the tire's own contact parameters and the degree of discreteness of ground particles, and the tire stress of the tire with abnormal wheel deviation is determined; the tire stress is input into the pre-trained tire rolling resistance model, and based on the weight connection space mapping from the input layer to the hidden layer in the tire rolling resistance model, the tire rolling resistance of the tire with abnormal wheel deviation is calculated and obtained; according to the tire rolling resistance and the corresponding tire amplitude, the energy consumption loss of a single tire of the tire with abnormal wheel deviation is compared to determine the additional wheel deviation energy consumption; the additional wheel deviation energy consumption is integrated with the remaining mileage management system of the new energy vehicle to obtain the remaining mileage prediction data of the new energy vehicle under abnormal wheel deviation.

[0010] The embodiment of the present application senses the wheel running state through a magnetic encoder to achieve real-time monitoring of the tire running state, which helps to detect tire abnormalities in a timely manner. The visual model can also be used to identify and segment the carcass deformation area of ​​the abnormal wheel deviation tire, and the position and degree of the abnormal tire can be accurately located. And by calculating the characteristic parameters under the tread contact plane diagram, the mechanical properties of the tire in the extrusion area can be analyzed to provide a basis for subsequent energy consumption calculations. Based on the tire characterization parameters and contact parameters, the tire stress is calculated to more comprehensively evaluate the tire's force conditions. The rolling resistance of the tire can also be predicted to provide data support for energy consumption analysis. At the same time, by comparing the energy consumption loss of a single tire, the additional wheel deviation energy consumption can be determined, which helps to improve energy utilization efficiency. By combining the additional wheel deviation energy consumption with the remaining mileage management system of new energy vehicles, the remaining mileage of new energy vehicles under abnormal wheel deviation can be more accurately predicted, thereby improving driving safety. In addition, by monitoring the abnormal state and energy consumption of tires, potential safety hazards can be discovered in advance, thereby improving driving safety.

[0011] In a feasible implementation manner, according to the magnetic encoder in the suspension system of the new energy vehicle, the wheel running state of the new energy vehicle is perceived based on the tire three-dimensional modeling under straight-line driving, and the abnormal wheel deviation tire of the new energy vehicle is determined, specifically including: pre-installing the magnetic encoder on the kingpin shaft of the suspension system of the new energy vehicle, and arranging the preset chip locator on the inner side of the wheel hub of the vacuum inner tube of the new energy vehicle; wherein the chip locator is used to determine the coordinates when the wheel moves; the magnetic encoder is used to measure the distance parameter; when it is detected that the new energy vehicle is in a straight-line driving state, the data signal of the magnetic encoder and the chip locator is received by the central control system of the new energy vehicle; through the magnetic encoder, the distance between the wheel hub and the kingpin shaft when the wheel moves is continuously identified, and the horizontal interval distance curve based on the current time node is determined; and the inclination angle between the kingpin axis and the vertical line of the ground is calculated for the point with peak change in the interval distance curve, and the kingpin inclination angle of the abnormal tire and the corresponding kingpin inclination angle abnormal wheel are determined; wherein the peak change point It means that the car wheel deviation has occurred; through the magnetic encoder, the distance between the kingpin axis and the ground is identified when the wheel moves, and the ground spacing distance at the current time node is obtained; and the ground spacing distance at the current time node and the historical ground spacing distance are judged for changes. If there is a difference, the kingpin castor angle of the abnormal tire corresponding to the ground spacing distance at the current time node is recorded, and it is determined to be a wheel with abnormal kingpin castor angle; through the coordinate signals emitted by several chip locators, a three-dimensional tire cross-sectional diagram of the new energy vehicle is established; wherein the three-dimensional tire cross-sectional diagram is a vector circular diagram generated based on multiple coordinate signals; according to the relative distance between each three-dimensional tire cross-section in the three-dimensional tire cross-sectional diagram, the abnormal driving state of the wheel of the new energy vehicle is judged to obtain a wheel with abnormal movement angle; wherein the wheel with abnormal movement angle includes: a wheel inclination angle wheel and a wheel toe angle wheel; the wheel with abnormal kingpin inclination angle, the wheel with abnormal kingpin castor angle and the wheel with abnormal movement angle are subjected to data integration processing to determine the tire with abnormal wheel deviation.

[0012] The embodiment of the present application can accurately monitor the motion state of the wheel, including wheel deviation, inclination angle and toe angle, through the magnetic encoder and chip locator, and provide accurate data support for abnormal conditions of the tire. The magnetic encoder can measure the distance change between the wheel and the kingpin axis and the distance between the wheel and the ground in real time when driving in a straight line, ensuring the real-time and accuracy of the data. It can also automatically identify abnormal wheels with kingpin inclination angle, kingpin castor angle and abnormal motion angle (such as wheel inclination angle and toe angle), which helps to find potential problems in time. The coordinate signals emitted by multiple chip locators can be used to establish a three-dimensional tire cross-sectional diagram, providing intuitive tire state visualization, which is convenient for technicians to understand and analyze. By generating a vector circular diagram, the shape and size of the tire can be accurately represented, which helps to analyze the geometric state of the tire. By integrating multiple abnormal parameters, the abnormal driving state of the wheel can be comprehensively evaluated to improve the accuracy and reliability of the judgment. By detecting tire abnormalities at an early stage, traffic accidents caused by tire problems can be reduced and the safety of vehicle driving can be improved.

[0013] In a feasible implementation manner, the abnormal driving state of the wheel of the new energy vehicle is judged according to the relative distance between each three-dimensional tire section in the three-dimensional tire cross-sectional view, and the wheel with abnormal motion angle is obtained, which specifically includes: intersecting the vector plane corresponding to the three-dimensional tire cross-sectional view with the vertical plane corresponding to the vertical line of the ground to obtain the intersection plane angle; and performing a threshold judgment on the intersection plane angle; if the intersection plane angle is greater than or equal to a first preset threshold, the wheel inclination angle wheel corresponding to the three-dimensional tire cross-sectional view is determined as the wheel with abnormal motion angle; extracting the wheel vector plane pair in the three-dimensional tire cross-sectional view; wherein the wheel vector plane pair is the new energy vehicle a pair of driving wheels or a pair of driven wheels; performing translational coincidence processing on the first wheel vector plane and the second wheel vector plane in the wheel vector plane pair based on the center points of the two planes; if there is a plane angle between the first wheel vector plane and the second wheel vector plane, performing plane coincidence comparison and judgment on the first wheel vector plane and the second wheel vector plane respectively with the standard wheel vector plane; wherein the standard wheel vector plane is a vector plane consistent with the forward direction; if there is a wheel vector plane that does not conform to the standard wheel vector plane, the corresponding abnormal wheel in the wheel vector plane pair is determined as the wheel with the wheel toe angle, and the abnormal wheel is determined as the wheel with the abnormal motion angle.

[0014] In a feasible implementation, the abnormal wheel deviation tire is identified and segmented with respect to the carcass deformation area through a preset visual model to obtain a tread contact plane map, which specifically includes: collecting the sidewall image of the abnormal wheel deviation tire; marking the inner and outer deviation point coordinates of the sidewall image based on the axle center coordinate point through the SAM visual model to obtain a wheel contour image; wherein the inner deviation point coordinates are evenly distributed in the wheel hub, and the outer deviation point coordinates are evenly distributed in the sidewall tire; according to the wheel hub features corresponding to the inner deviation point coordinates and the tire rubber ring features corresponding to the outer deviation point coordinates, a segmentation mask is generated for the wheel hub area in the wheel contour image to obtain a wheel hub segmentation mask area; based on the foreground point sequence of the sidewall tire area in the wheel contour image, a segmentation mask is generated for the wheel hub segmentation mask area. The edge contour is segmented based on the focal loss function to obtain a sidewall tire area image; the sidewall deformation area image in the sidewall tire area image is identified and marked; according to the horizontal distribution sequence of grayscale pixels in the sidewall deformation area image, the grayscale pixel area is divided into different textures to obtain a sidewall horizontal texture image; wherein the horizontal texture in the sidewall horizontal texture image represents the stress and extrusion condition of the sidewall; the sidewall deformation area image is subjected to image symmetric extension processing related to the tire body deformation area to obtain an estimated tread contact plane map; wherein the image symmetric extension processing is to perform image symmetric replication processing on the sidewall deformation area image based on the sidewall tire edge; the sidewall horizontal texture image is symmetrically mapped to the estimated tread contact plane map to generate the tread contact plane map.

[0015] The embodiment of the present application processes the tire sidewall image through the SAM visual model, which can accurately identify and mark the tire body deformation area, and provide high-precision data for tire deformation analysis. The preset visual model can quickly detect the deformation area of ​​the tire, which improves the efficiency and speed of detection. The automated detection process reduces the reliance on manual inspection, reduces the possibility of human error, and improves the automation of tire detection. The tread contact plane is generated by image processing technology, which provides an intuitive graphical representation for the force analysis of the tire. In addition, the sidewall horizontal texture image can intuitively display the force and compression of the sidewall, which helps to understand the stress state of the tire. Texture division based on the horizontal distribution sequence of grayscale pixels can further analyze the wear and deformation mode of the tire. The tread contact plane can also be estimated by symmetrically extending the sidewall deformation area image. This processing method is simple and effective. The generated tread contact plane and sidewall horizontal texture image can be used for more in-depth data analysis, such as predicting the remaining service life of the tire or evaluating the performance of the tire.

[0016] In a feasible implementation manner, according to the geometric characteristics and mechanical characteristics between the tread and the ground, the characteristic parameters of the tread contact plane map under the extrusion area are calculated and processed to obtain the abnormal wheel deviation parameters of the abnormal wheel deviation tire, specifically including: calculating the area of ​​the texture area in the tread contact plane map based on the extrusion area between the tire and the ground to obtain the contact area; determining the multi-directional wheel axle length of the extrusion area according to the unit pixel length of the texture area in the tread contact plane map; wherein the multi-directional wheel axle length is the horizontal and vertical edge length of the texture area; based on the multi-directional wheel axle length, calculating the concave and convex shape of the texture area related to the inner angle radian value to determine the shape of the texture area; wherein the concave and convex shape includes: an outer convex texture shape and an inner concave texture shape; according to the basic parameters of the new energy vehicle and based on the abnormal wheel deviation. The average contact pressure and the corresponding maximum contact pressure of the abnormal wheel deviation tire are determined by the ground contact area of ​​the tire and the density of grayscale pixels in the texture area; wherein the area corresponding to the density of the grayscale pixels is related to the maximum contact pressure; the basic parameters include at least: vehicle weight, vehicle acceleration, total tire moment of inertia and dynamic wheel radius; through the average contact pressure and the corresponding maximum contact pressure, and based on the multi-directional wheel axle length and the shape of the texture area, the pressure distribution of the texture area is discretely calculated to obtain the contact pressure deviation value; wherein the contact pressure deviation value is used to characterize the degree of discreteness of the pressure distribution between the tread and the ground; the ground contact area, the average contact pressure, the maximum contact pressure and the contact pressure deviation value are integrated to obtain the abnormal wheel deviation parameters of the abnormal wheel deviation tire.

[0017] The embodiment of the present application can accurately analyze the geometric and mechanical characteristics of the tire's contact with the ground by calculating the characteristic parameters in the tread contact plane diagram. The ability to accurately measure the tire's contact area is crucial to understanding the tire's ground performance. By determining the length of the horizontal and vertical edges of the texture area, the tire's contact shape and pressure distribution can be more fully understood. Analyzing the concave and convex shape of the texture area helps to identify the wear pattern and uneven force of the tire. By calculating the discrete calculation of the pressure distribution, the ground contact pressure deflection value can be obtained, which helps to evaluate whether the tire's pressure distribution is uniform. Determining the average ground contact pressure and the maximum ground contact pressure of the tire is crucial for evaluating the tire's load-bearing capacity and durability. Combined with the basic parameters of new energy vehicles (such as vehicle weight, acceleration, moment of inertia and wheel radius), the tire's force conditions can be more comprehensively simulated and analyzed. At the same time, the ground contact pressure deflection value, as an indicator of the degree of discreteness of the pressure distribution, can be used to predict tire wear and performance degradation. That is, the specific parameters of the tire with abnormal wheel deviation can be determined, which helps to diagnose the abnormality of the tire.

[0018] In a feasible implementation manner, based on the tire characterization parameters of the new energy vehicle, the abnormal wheel deviation parameters are calculated based on the global contact coupling stiffness between the tire's own contact parameters and the degree of discreteness of ground particles, and the tire stress of the tire with abnormal wheel deviation is determined, which specifically includes: collecting the tire characterization parameters under the current tire model of the new energy vehicle; wherein the tire characterization parameters include at least: material elasticity, material plasticity, surface pattern characteristics, material wear, maximum material fracture parameter, maximum material slip parameter and maximum material friction parameter; through a preset continuous-discontinuous unit method and based on the tire characterization parameters, the abnormal wheel deviation parameters are calculated based on the tire's own contact parameters and the degree of discreteness of ground particles, and the tire stress of the tire with abnormal wheel deviation is determined. The node force of the tire body contact parameters is calculated to obtain the node resultant force; wherein, the node resultant force includes: the node damping force based on the tire characterization parameters, the contact surface contribution node force based on the contact area, the node force contributed by the finite element unit deformation based on the average contact pressure, and the node external force based on the maximum contact pressure; based on the physical quantity of the motion state of the new energy vehicle at the current time node, the abnormal wheel deviation parameter is subjected to contact force calculation based on the discrete degree of ground particles to obtain the particle contact force; wherein, the particle contact force includes: the normal contact force between particles and the tangential contact force between particles; the node resultant force and the particle contact force are coupled and calculated to obtain the tire stress of the tire with abnormal wheel deviation.

[0019] The embodiment of the present application can more accurately calculate the stress distribution of the tire during driving by combining the contact parameters of the tire itself with the discrete degree of ground particles. The method takes into account a variety of characterization parameters of the tire, such as material elasticity, plasticity, surface pattern characteristics, abrasion, maximum fracture parameters, maximum slip parameters and maximum friction parameters, thereby providing a comprehensive analysis of tire performance. The use of the continuous-discontinuous element method can more accurately simulate the contact between the tire and the ground, which is crucial for analyzing the behavior of the tire under complex working conditions. And by calculating the node resultant force, including damping force, contact surface contribution node force, finite element unit deformation contribution node force and node external force, the stress inside the tire can be analyzed in detail. Combined with the discrete degree of ground particles, the contact force calculation can more realistically reflect the stress of the tire on the actual road surface. At the same time, by calculating the normal and tangential contact forces between particles, the friction and interaction between the tire and the ground can be evaluated. Finally, the node resultant force and the particle contact force are coupled and calculated to obtain the distribution of the overall stress of the tire.

[0020] In a feasible implementation, the tire stress is input into a pre-trained tire rolling resistance model, and based on the weighted connection space mapping from the input layer to the hidden layer in the tire rolling resistance model, the tire rolling resistance of the abnormal wheel deviation tire is calculated and obtained, specifically comprising: inputting the tire stress into the trained tire rolling resistance model; wherein the tire rolling resistance model is a neural network model; wherein the training data in the tire rolling resistance model is transformed nonlinearly into the hidden layer space through the input layer space, and is linearly transformed into the output layer space through the hidden layer space; through the input layer in the tire rolling resistance model, the tire stress and the basic parameters of the new energy vehicle are subjected to hidden layer direct space mapping processing based on a kernel function; according to The extra rolling resistance F of the wheel deviation is obtained; wherein J1 is the total tire rotational inertia corresponding to the basic parameter; J2 is the tire rotational inertia of the tire with abnormal wheel deviation; ε is the ground contact area of ​​the abnormal wheel deviation parameter; r1 is the average ground contact pressure of the abnormal wheel deviation parameter; r2 is the maximum ground contact pressure of the abnormal wheel deviation parameter; is the contact pressure deviation value of the abnormal wheel deviation parameter; f is the tire stress; tan -1 δ is a tire characterization parameter; v is the wheel deviation contact deformation area volume in the abnormal wheel deviation parameter; d t is the time variation; F m is the total rolling resistance of the new energy vehicle; R d is the ideal average rolling resistance of each tire of the new energy vehicle; the wheel deviation extra rolling resistance is added to the wheel rolling resistance of the normal tires in the new energy vehicle to obtain the tire rolling resistance based on the abnormal wheel deviation tire.

[0021] In a feasible implementation manner, the energy consumption loss of a single tire of the abnormal wheel deviation tire is compared according to the tire rolling resistance and the corresponding tire amplitude to determine the additional wheel deviation energy consumption, specifically including: obtaining the abnormal tire amplitude curve of the abnormal wheel deviation tire; and constructing an abnormal tire amplitude function based on the abnormal tire amplitude curve; calculating the amplitude difference between the normal tire amplitude function of the new energy vehicle and the abnormal tire amplitude function to determine the amplitude difference interval; calculating the ratio of the tire rolling resistance of the abnormal wheel deviation tire and the tire resistance of the normal tire to determine the rolling resistance coefficient; using a preset envelope function, estimating the energy loss of the normal tire per unit normal energy consumption loss, and obtaining the additional wheel deviation energy consumption of the abnormal wheel deviation tire based on the closed area between the upper envelope function and the lower envelope function; wherein the lower envelope function corresponds to the amplitude difference interval, and the upper envelope function corresponds to the rolling resistance coefficient.

[0022] The embodiment of the present application can accurately calculate the energy loss of a single tire by comparing the rolling resistance and amplitude of the tire with abnormal wheel deviation, thereby providing data support for tire energy consumption management. In addition, obtaining and analyzing the abnormal tire amplitude curve helps to understand the vibration characteristics of the tire under the abnormal wheel deviation state, which is very important for tire performance analysis. An amplitude function is constructed based on the abnormal tire amplitude curve to provide a mathematical model for subsequent energy loss calculations. The abnormal tire amplitude function can also be compared with the normal tire amplitude function to reveal the impact of abnormal wheel deviation on tire performance. Then, by determining the amplitude difference interval, the vibration change caused by abnormal wheel deviation can be quantified, thereby evaluating its impact on energy consumption. And by calculating the rolling resistance coefficient, the friction between the tire and the ground can be more accurately evaluated, thereby affecting energy consumption. At the same time, the preset envelope function is used to estimate the unit energy loss, which is effective in calculating the additional wheel deviation energy consumption of the tire with abnormal wheel deviation.

[0023] In a feasible implementation manner, the additional wheel deviation energy consumption and the remaining mileage management system of the new energy vehicle are integrated to obtain the remaining mileage prediction data of the new energy vehicle under abnormal wheel deviation, specifically including: extracting the current remaining mileage data in the remaining mileage management system; calculating the proportion of the additional wheel deviation energy consumption and the current remaining mileage energy consumption under the current remaining mileage data by the relevant proportional coefficient to obtain the abnormal energy consumption proportional coefficient; according to the abnormal energy consumption proportional coefficient, performing data prediction processing on the current remaining mileage data to determine the remaining mileage prediction data of the new energy vehicle under the abnormal wheel deviation condition.

[0024] On the other hand, an embodiment of the present application also provides a wheel pulley resistance energy consumption monitoring device based on new energy vehicles, including: 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, so that the at least one processor can execute a wheel pulley resistance energy consumption monitoring method based on new energy vehicles as described in any of the above embodiments.

[0025] The embodiment of the present application provides a method and device for monitoring wheel yaw resistance energy consumption based on new energy vehicles. Compared with the prior art, the embodiment of the present application has the following beneficial technical effects:

[0026] 1. Real-time monitoring of tire status: The magnetic encoder senses the wheel running status, realizing real-time monitoring of the tire running status, which helps to detect tire abnormalities in time.

[0027] 2. Accurately identify abnormal tires: Use visual models to identify and segment the carcass deformation area of ​​abnormal tires, and accurately locate the position and degree of abnormal tires.

[0028] 3. Parameter calculation and characteristic analysis: By calculating the characteristic parameters of the tread contact plane, the mechanical characteristics of the tire in the squeeze area can be analyzed, providing a basis for subsequent energy consumption calculations.

[0029] 4. Global contact coupling stiffness calculation: Based on the tire characterization parameters and contact parameters, the tire stress is calculated to more comprehensively evaluate the tire stress condition.

[0030] 5. Rolling resistance model prediction: Inputting tire stress into the pre-trained rolling resistance model can predict the rolling resistance of the tire and provide data support for energy consumption analysis.

[0031] 6. Energy loss assessment: By comparing the energy loss of a single tire, the additional wheel offset energy loss can be determined, which helps to improve energy efficiency.

[0032] 7. Remaining mileage prediction: Combining the additional wheel deviation energy consumption with the remaining mileage management system of new energy vehicles can more accurately predict the remaining mileage of new energy vehicles under abnormal wheel deviation and improve driving safety.

[0033] 8. Improve driving safety: By monitoring the abnormal status and energy consumption of tires, potential safety hazards can be discovered in advance and driving safety can be improved.

[0034] 9. Early warning: Provides data support for tire maintenance, helps remind drivers of wheel deviation failures, and ensures vehicle performance safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0036] Figure 1 A flow chart of a method for monitoring wheel pulley resistance energy consumption based on a new energy vehicle provided in an embodiment of the present application;

[0037] Figure 2 A schematic structural diagram of a wheel with a toe angle provided in an embodiment of the present application;

[0038] Figure 3 A schematic diagram of a wheel-biased tire provided in an embodiment of the present application;

[0039] Figure 4 A schematic diagram of a tread contacting the ground provided in an embodiment of the present application;

[0040] Figure 5 A schematic diagram of the structure of a wheel drag energy consumption monitoring device based on a new energy vehicle provided in an embodiment of the present application. DETAILED DESCRIPTION

[0041] In order to enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are only part of the embodiments of this application, not all of them. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this application.

[0042] The present application embodiment provides a method for monitoring wheel pulley resistance energy consumption based on new energy vehicles, such as Figure 1 As shown, the wheel pulley resistance energy consumption monitoring method based on new energy vehicles specifically includes steps S101-S106:

[0043] S101. Based on the magnetic encoder in the suspension system of the new energy vehicle, the running state of the wheel of the new energy vehicle is perceived based on the three-dimensional tire modeling under straight-line driving, and the abnormal wheel deviation of the new energy vehicle is determined.

[0044] Specifically, the magnetic encoder needs to be pre-installed on the kingpin shaft of the new energy vehicle suspension system, and the preset chip locator is arranged on the inner side of the wheel hub of the new energy vehicle vacuum inner tube. The chip locator is used to determine the coordinates when the wheel moves; the magnetic encoder is used to measure the distance parameters.

[0045] It should be noted that the magnetic encoder uses the principle of magnetic field induction to determine the position of an object by detecting changes in the magnetic field. Compared with the photoelectric encoder, the magnetic encoder has stronger anti-interference ability and higher reliability, and can work stably in harsh environments. It is widely used in industrial automation, aerospace and other fields, and plays a vital role in the precise control and positioning of equipment.

[0046] Furthermore, when it is detected that the new energy vehicle is in a straight-line driving state, the data signals of the magnetic encoder and the chip locator are received by the new energy vehicle central control system.

[0047] Furthermore, the magnetic encoder can be used to continuously identify the distance between the wheel hub and the kingpin axis when the wheel moves, and determine the horizontal interval distance curve based on the current time node. The points with peak changes in the interval distance curve are used to calculate the inclination angle between the kingpin axis and the vertical line of the ground, and the kingpin inclination angle of the abnormal tire and the corresponding wheel with abnormal kingpin inclination angle are determined. Among them, the point with peak change represents the occurrence of vehicle wheel deviation.

[0048] Furthermore, the magnetic encoder is used to identify the distance between the kingpin axis and the ground when the wheel moves, and the ground clearance distance at the current time node is obtained. The ground clearance distance at the current time node is compared with the historical ground clearance distance. If there is a difference, the kingpin caster angle of the abnormal tire corresponding to the ground clearance distance at the current time node is recorded, and the wheel with abnormal kingpin caster angle is determined.

[0049] Furthermore, a three-dimensional tire cross-section diagram of a new energy vehicle is established through the coordinate signals emitted by a number of chip locators. The three-dimensional tire cross-section diagram is a vector circular diagram generated based on multiple coordinate signals. Then, according to the relative distance between each three-dimensional tire cross section in the three-dimensional tire cross-section diagram, the abnormal driving state of the wheel of the new energy vehicle is judged to obtain the wheel with abnormal motion angle. The wheel with abnormal motion angle includes: wheel with inclination angle and wheel with toe angle.

[0050] In one embodiment, Figure 2 A schematic diagram of the structure of a wheel with a toe angle provided in an embodiment of the present application is shown in FIG. Figure 2 As shown, through the chip locator, the three-dimensional tire cross-section of the tire during driving can be established, that is, a vector plane diagram can be established, and then according to the relative position relationship of the vector diagram, that is, the relative distance and the relative angle of the vector plane, it can be determined whether the wheel pair corresponding to the wheel vector plane has a problem with the wheel toe angle.

[0051] As a feasible implementation method, the vector plane corresponding to the three-dimensional tire cross-section image and the vertical plane corresponding to the ground vertical line can be intersected to obtain the intersection angle. A threshold value is determined for the intersection angle:

[0052] If the angle between the intersecting planes is greater than or equal to a first preset threshold, the wheel with the wheel inclination angle corresponding to the three-dimensional tire cross-sectional image is determined as a wheel with an abnormal motion angle. A wheel vector plane pair is extracted from the three-dimensional tire cross-sectional image. The wheel vector plane pair is a pair of driving wheels or a pair of driven wheels of a new energy vehicle. The first wheel vector plane and the second wheel vector plane in the wheel vector plane pair are subjected to translation and overlap processing based on the center points of the two planes.

[0053] If there is a plane angle between the first wheel vector plane and the second wheel vector plane, the first wheel vector plane and the second wheel vector plane are respectively compared with the standard wheel vector plane for plane coincidence judgment, wherein the standard wheel vector plane is a vector plane consistent with the forward direction.

[0054] If there is a wheel vector plane that does not conform to the standard wheel vector plane, the abnormal wheel corresponding to the wheel vector plane alignment is determined as the wheel toe angle wheel, and the abnormal wheel is determined as the wheel with abnormal motion angle.

[0055] Furthermore, data of wheels with abnormal kingpin inclination angles, wheels with abnormal kingpin caster angles and wheels with abnormal motion angles are integrated and processed to determine the tire with abnormal wheel deviation.

[0056] S102. Using a preset visual model, the tire with abnormal wheel deviation is identified and segmented with respect to the tire body deformation area to obtain a tread contact plane diagram; and based on the geometric and mechanical properties between the tread and the ground, the characteristic parameters of the tread contact plane diagram in the extrusion area are calculated and processed to obtain the abnormal wheel deviation parameters of the tire with abnormal wheel deviation.

[0057] Specifically, it is necessary to collect the sidewall image of the abnormal wheel deviation tire based on the vehicle-mounted image acquisition device. Then, the sidewall image is marked with the inner and outer deviation point coordinates based on the center coordinate points of the wheel axle through the SAM visual model to obtain the wheel contour image. Among them, the inner deviation point coordinates are evenly distributed in the wheel hub, and the outer deviation point coordinates are evenly distributed in the sidewall tire.

[0058] In one embodiment, Figure 3 A schematic diagram of a wheel-biased tire provided in an embodiment of the present application, such as Figure 3 As shown in the figure, based on the abnormal wheel deflection determined by the wheel with abnormal kingpin inclination angle, the wheel with abnormal kingpin caster angle and the wheel with abnormal motion angle, it can be clearly seen that the inner area has been deformed, and the tire deformation shape represented is also different from the normal tire form. Then the SAM visual model is used to perform subsequent sidewall image segmentation on the identified abnormal tires and wheels. First, through the pre-defined N inner and outer deflection point coordinates, that is, the deflection point coordinates evenly distributed in the wheel hub and the outer deflection point coordinates evenly distributed in the sidewall tire, the visual model can then focus on the structural features of the tire for independent segmentation. These inner and outer deflection points serve as input prompts to guide the model to accurately identify and process the edge and surface features of the tire.

[0059] Furthermore, it is necessary to generate a segmentation mask for the hub area in the wheel profile image according to the hub features corresponding to the inner offset point coordinates and the tire rubber ring features corresponding to the outer offset point coordinates to obtain the hub segmentation mask area.

[0060] Furthermore, the foreground point sequence of the sidewall tire area in the wheel contour image is used to perform segmentation processing on the edge contour of the hub segmentation mask area based on the focal loss function to obtain the sidewall tire area image.

[0061] In one embodiment, the tire edge is segmented using the center point of the foreground point sequence to obtain a segmentation area and a segmentation score. This method not only improves the segmentation quality of the edge, but also optimizes the overall accuracy of the segmentation result. In other words, the edge contour of the wheel hub segmentation mask area can be segmented using a linear combination of the focus loss function and the block loss function of the segmentation score, and the segmentation boundary between the sidewall tire and the wheel hub is identified based on the weight parameter of the continuously adjusted contribution of the focus loss function, thereby segmenting the sidewall tire area image.

[0062] Furthermore, the sidewall deformation region image in the sidewall tire region image is identified and marked. According to the horizontal distribution sequence of grayscale pixels in the sidewall deformation region image, the grayscale pixel region is divided into different textures to obtain a sidewall horizontal texture image. Among them, the horizontal texture in the sidewall horizontal texture image represents the force compression condition of the sidewall.

[0063] Furthermore, the image of the sidewall deformation area is subjected to image symmetry extension processing related to the tire body deformation area to obtain an estimated tread contact plane map. The image symmetry extension processing is to perform image symmetry replication processing based on the sidewall tire edge on the sidewall deformation area image. Finally, the sidewall horizontal texture image is symmetrically mapped to the estimated tread contact plane map to generate the tread contact plane map.

[0064] In a real-time example, Figure 4 A schematic diagram of a tread contacting the ground plane provided in an embodiment of the present application, such as Figure 4 As shown in the figure, when the tire is under standard inflation pressure and is not under load and is not squeezed against the ground, the tire body expands outward due to the inflation pressure; when the tire is under load and squeezed against the road surface, the direction of the force in the area where the tire squeezes against the ground changes. The area where the direction of the contact pressure between the tread and the tire body changes is called the contact area. The contact characteristics between the tread and the tire body will also be different due to different tire operating conditions, different tread patterns and different tire body structures. In the case of wheel deviation, the sidewall deformation area of ​​the tire will be more obvious, and the distribution of grayscale pixels in the image of the sidewall deformation area will also have obvious pixel changes. Wheel deviation is generally an over-wear area, so the ground contact area of ​​this area is correlated with the changes in the tire side. Therefore, according to the horizontal distribution sequence of grayscale pixels in the sidewall deformation area image, the grayscale pixel area is divided into different textures to obtain the sidewall horizontal texture image, and then the sidewall tire is symmetrically replicated about the edge axis to determine the specific geometric shape and mechanical characteristics of the carcass deformation area of ​​the tire with abnormal wheel deviation, thereby predicting and estimating the tread ground contact plane that can reflect the actual situation to the greatest extent.

[0065] Further, based on the obtained tread contact plane map, the texture area in the tread contact plane map is calculated based on the area under the squeeze area between the tire and the ground to obtain the contact area. Then, according to the unit pixel length of the texture area in the tread contact plane map, the multi-directional wheel axle length of the squeeze area is determined. Among them, the multi-directional wheel axle length is the length of the horizontal and vertical edges of the texture area. Based on the multi-directional wheel axle length, the concave-convex shape of the texture area related to the inner angle radian value is calculated to determine the shape of the texture area. Among them, the concave-convex shape includes: an outer convex texture shape and an inner concave texture shape.

[0066] Furthermore, the basic parameters of new energy vehicles are used as basic data, and based on the contact area of ​​the tire with abnormal wheel deviation and the density of grayscale pixels in the texture area, the average contact pressure of the tire with abnormal wheel deviation and the corresponding maximum contact pressure are determined. Among them, the area corresponding to the density of grayscale pixels is related to the maximum contact pressure. The basic parameters include at least: vehicle weight, vehicle acceleration, total tire rotational inertia and dynamic wheel radius.

[0067] Furthermore, the average contact pressure and the corresponding maximum contact pressure are used to calculate the pressure distribution of the texture area based on the multi-directional wheel axle length and the texture area shape, and the contact pressure deflection value is obtained. The contact pressure deflection value is used to characterize the degree of discreteness of the pressure distribution between the tread and the ground.

[0068] Furthermore, the contact area, average contact pressure, maximum contact pressure and contact pressure deviation value are integrated, that is, all the data are integrated and stored to obtain the abnormal wheel deviation parameters of the tire with abnormal wheel deviation.

[0069] As a feasible implementation method, it is necessary to further conduct a detailed analysis of the geometric and mechanical characteristics of the tread contact plane diagram, and combine the basic parameters of new energy vehicles to calculate and process the abnormal wheel deviation parameters of the ground contact area, multi-directional axle length and texture area shape contained in the tread contact plane diagram. That is, it is necessary to convert the pixel conditions of the texture area in the tread contact plane diagram, the density of grayscale pixels in the texture area, etc. into abnormal wheel deviation parameters for characterizing tires with abnormal wheel deviation.

[0070] S103. Based on the tire characterization parameters of the new energy vehicle, the abnormal wheel deviation parameters are calculated based on the global contact coupling stiffness between the tire's own contact parameters and the degree of ground particle dispersion, and the tire stress of the tire with abnormal wheel deviation is determined.

[0071] Specifically, based on the standard parameters of the tire, the tire characterization parameters of the current tire model of the new energy vehicle are collected, wherein the tire characterization parameters at least include: material elasticity, material plasticity, surface pattern characteristics, material wear, material fracture maximum parameter, material slip maximum parameter and material friction maximum parameter.

[0072] Furthermore, using the preset continuous-discontinuous element method and based on the tire characterization parameters, the abnormal wheel deviation parameters are subjected to node force calculation based on the tire's own contact parameters to obtain the node resultant force. The node resultant force includes: node damping force based on the tire characterization parameters, contact surface contribution node force based on the contact area, node force contributed by finite element unit deformation based on the average contact pressure, and node external force based on the maximum contact pressure.

[0073] As a feasible implementation method, the Continuum Discontinuum Element Method (CDEM) is an explicit dynamic numerical analysis method that combines finite elements with discrete elements, and its theoretical basis is the Lagrange equation. The Continuum Discontinuum Element Method consists of two parts: blocks and interfaces. The blocks are composed of finite element units; the interfaces are the common boundaries between blocks, which characterize continuous characteristics such as material elasticity, material plasticity, surface pattern characteristics, and material wear; as well as discontinuous characteristics such as maximum material fracture parameters, maximum material slip parameters, and maximum material friction parameters. The contact coupling stiffness between the ground and the tire itself adopts a global value, and then based on the tire characterization parameters, the abnormal wheel deviation parameters are used to calculate the node force based on the tire's own contact parameters:

[0074] That is, the node force = node damping force A + node force B contributed by contact surface + node force C contributed by finite element unit deformation + node external force D, as well as the core control equations of node motion: node acceleration, node velocity, node displacement increment, node mass and calculation time step, are used to obtain the node resultant force, thereby realizing the mechanical characterization of the tire under its own contact parameters.

[0075] Furthermore, based on the physical quantity of the motion state of the new energy vehicle at the current time node, the abnormal wheel deviation parameters are calculated based on the contact force of the ground particles to obtain the particle contact force. Among them, the particle contact force includes: the normal contact force between particles and the tangential contact force between particles. Finally, the node resultant force and the particle contact force are coupled and calculated to obtain the tire stress of the tire with abnormal wheel deviation.

[0076] In one embodiment, by considering the discreteness of the ground particles and the motion state of the tire, the stress distribution of the tire can be calculated more accurately, which is crucial for predicting the fatigue life and wear pattern of the tire. At the same time, accurate stress analysis helps to identify possible weak points of the tire under abnormal wheel deviation, thereby improving the safety of vehicle driving. And through the specific analysis of the tire itself and the road particles and then force coupling, it is possible to complete a dynamic coupled force analysis of the abnormal wheel deviation tire of a new energy vehicle in motion, which is conducive to the subsequent analysis of the rolling resistance caused by the abnormal wheel deviation tire, that is, to provide accurate basic force data.

[0077] S104, inputting the tire stress into the pre-trained tire rolling resistance model, and calculating and obtaining the tire rolling resistance of the tire with abnormal wheel deviation based on the weighted connection space mapping from the input layer to the hidden layer in the tire rolling resistance model.

[0078] Specifically, the tire rolling resistance model is trained in advance using the historical tire rolling resistance data set. Then the tire stress is input into the trained tire rolling resistance model. The tire rolling resistance model is a neural network model. The training data in the tire rolling resistance model needs to be transformed nonlinearly from the input layer space to the hidden layer space, and then transformed linearly from the hidden layer space to the output layer space.

[0079] Furthermore, the tire stress and basic parameters of the new energy vehicle are processed by direct spatial mapping of the hidden layer based on the kernel function through the input layer in the tire rolling resistance model.

[0080] Furthermore, using the formula: The extra rolling resistance F of the wheel deviation is obtained; wherein J1 is the total tire moment of inertia corresponding to the basic parameters; J2 is the tire moment of inertia of the tire with abnormal wheel deviation; ε is the ground contact area of ​​the abnormal wheel deviation parameter; r1 is the average ground contact pressure of the abnormal wheel deviation parameter; r2 is the maximum ground contact pressure of the abnormal wheel deviation parameter; is the contact pressure deviation value of the abnormal wheel deviation parameter; f is the tire stress; tan -1 δ is the tire characterization parameter; v is the wheel deviation contact deformation area volume in the abnormal wheel deviation parameter; d t is the time variation; F m is the total rolling resistance of new energy vehicles; R d The ideal average rolling resistance for each tire of a new energy vehicle.

[0081] Furthermore, the extra rolling resistance of the wheel deviation is added to the wheel rolling resistance of the normal tire in the new energy vehicle, that is, after the two resistances are superimposed, the tire rolling resistance based on the abnormal wheel deviation tire can be obtained.

[0082] As a feasible implementation method, the tire rolling resistance model trained by kernel function and activation function can transform the vector from linearly inseparable to linearly separable. In this way, the nonlinear mapping of the network from input to output becomes a linear adjustable parameter in the network output. Since the weights of the network can be directly obtained by solving a set of linear equations, the problem of local minima can be avoided, and the learning speed can be greatly accelerated, thereby achieving more accurate calculation of the extra rolling resistance of wheel deviation, and reducing the calculation error and the problem of reducing the calculation volume. Since the resistance of a tire with abnormal wheel deviation is generally greater than that of a normal tire, the wheel rolling resistance of a normal tire and the extra rolling resistance of wheel deviation calculated by the model can be used to maximize the tire rolling resistance of the real tire with abnormal wheel deviation.

[0083] S105, comparing the energy loss of a single tire of the tire with abnormal wheel deviation according to the tire rolling resistance and the corresponding tire amplitude, and determining the additional wheel deviation energy consumption.

[0084] Specifically, the amplitude sensor in the new energy vehicle is used to obtain the abnormal tire amplitude curve of the abnormal wheel deviation tire, and based on the abnormal tire amplitude curve, the abnormal tire amplitude function is constructed.

[0085] Furthermore, it is necessary to calculate the amplitude difference between the normal tire amplitude function and the abnormal tire amplitude function of the new energy vehicle to determine the amplitude difference range. Also, calculate the ratio of the tire rolling resistance of the abnormal wheel deviation tire to the tire resistance of the normal tire to determine the rolling resistance coefficient.

[0086] It should be noted that the envelope function is a mathematical tool used to describe the changes in the local maximum value of a signal, which is commonly used in the field of electronic engineering. Specifically, the envelope function can be understood as a graph interwoven by many elliptical curves, and the envelope theorem involves the relationship between the maximum value function and the objective function. The envelope theorem points out that when the parameters are given, the selected variables in the objective function can take any value. If the variable happens to take the optimal value, the objective function is equal to the maximum value function. That is, by using the correspondence between the lower envelope function and the amplitude difference interval and the correspondence between the upper envelope function and the rolling resistance coefficient, the unit normal energy loss of a normal tire is estimated, and the maximum value function of the unit normal energy loss is used to complete the target generation calculation of the additional wheel deviation energy consumption.

[0087] Furthermore, the energy loss per unit of normal energy consumption of a normal tire is estimated through a preset envelope function, and the additional wheel deviation energy consumption of the abnormal wheel deviation tire is obtained based on the closed area between the upper envelope function and the lower envelope function, wherein the lower envelope function corresponds to the amplitude difference interval, and the upper envelope function corresponds to the rolling resistance coefficient.

[0088] As a feasible implementation method, because the amplitude of a tire with abnormal wheel deviation is generally large and in an unbalanced state, and because higher energy loss will cause the oscillation to decay faster (and therefore have a smaller area), the energy loss is estimated as the closed area between the two envelopes, that is, the additional wheel deviation energy consumption of the tire with abnormal wheel deviation.

[0089] S106, integrating the extra wheel deviation energy consumption with the remaining mileage management system of the new energy vehicle to obtain remaining mileage prediction data of the new energy vehicle under abnormal wheel deviation.

[0090] Specifically, the current remaining mileage data in the gap remaining mileage management system is first extracted. Then, the ratio coefficient of the additional wheel deviation energy consumption and the current remaining mileage energy consumption under the current remaining mileage data is calculated to obtain the abnormal energy consumption ratio coefficient. Finally, according to the abnormal energy consumption ratio coefficient, the current remaining mileage data is subjected to data prediction processing to determine the remaining mileage prediction data of the new energy vehicle under abnormal wheel deviation.

[0091] As a feasible implementation method, the remaining mileage prediction data and the determined abnormal wheel deviation tire information can also be processed for alarm. When the remaining mileage prediction data is less than the alarm threshold, an alarm can be issued in advance, or when abnormal wheel deviation tires are detected and the tire rolling resistance exceeds the resistance threshold, an alarm message can also be generated to prompt the driver to perform maintenance or inform the current wheel deviation status of the vehicle. The driver then knows the vehicle's driving conditions more accurately, thereby improving the safety, intelligence and driving comfort of new energy vehicles.

[0092] In addition, the embodiment of the present application also provides a wheel deflection resistance energy consumption monitoring device based on new energy vehicles, such as Figure 5 As shown, the wheel yaw resistance energy consumption monitoring device 500 based on new energy vehicles specifically includes:

[0093] At least one processor 501. And a memory 502 in communication with the at least one processor 501. The memory 502 stores instructions that can be executed by the at least one processor 501, so that the at least one processor 501 can execute:

[0094] According to the magnetic encoder in the suspension system of new energy vehicles, the tire three-dimensional modeling perception of the wheel running state of new energy vehicles under straight-line driving is carried out to determine the abnormal wheel deviation of new energy vehicles;

[0095] Through the preset visual model, the abnormal wheel deviation tire is identified and segmented in the carcass deformation area to obtain the tread contact plane diagram; and according to the geometric characteristics and mechanical characteristics between the tread and the ground, the characteristic parameters of the tread contact plane diagram in the extrusion area are calculated and processed to obtain the abnormal wheel deviation parameters of the abnormal wheel deviation tire;

[0096] Based on the tire characterization parameters of new energy vehicles, the abnormal wheel deviation parameters are calculated based on the global contact coupling stiffness between the tire's own contact parameters and the discrete degree of ground particles, and the tire stress of the tire with abnormal wheel deviation is determined;

[0097] The tire stress is input into the pre-trained tire rolling resistance model, and based on the weight connection space mapping from the input layer to the hidden layer in the tire rolling resistance model, the tire rolling resistance of the abnormal wheel deviation tire is calculated and obtained;

[0098] According to the tire rolling resistance and the corresponding tire amplitude, the energy loss of a single tire is compared for the tire with abnormal wheel deviation to determine the additional wheel deviation energy loss;

[0099] The data of the extra wheel deviation energy consumption and the remaining mileage management system of the new energy vehicle are integrated and processed to obtain the remaining mileage prediction data of the new energy vehicle under abnormal wheel deviation.

[0100] The embodiment of the present application senses the wheel running state through a magnetic encoder to achieve real-time monitoring of the tire running state, which helps to detect tire abnormalities in a timely manner. The visual model can also be used to identify and segment the carcass deformation area of ​​the abnormal wheel deviation tire, and the position and degree of the abnormal tire can be accurately located. And by calculating the characteristic parameters under the tread contact plane diagram, the mechanical properties of the tire in the extrusion area can be analyzed to provide a basis for subsequent energy consumption calculations. Based on the tire characterization parameters and contact parameters, the tire stress is calculated to more comprehensively evaluate the tire's force conditions. The rolling resistance of the tire can also be predicted to provide data support for energy consumption analysis. At the same time, by comparing the energy consumption loss of a single tire, the additional wheel deviation energy consumption can be determined, which helps to improve energy utilization efficiency. By combining the additional wheel deviation energy consumption with the remaining mileage management system of new energy vehicles, the remaining mileage of new energy vehicles under abnormal wheel deviation can be more accurately predicted, thereby improving driving safety. In addition, by monitoring the abnormal state and energy consumption of tires, potential safety hazards can be discovered in advance, thereby improving driving safety.

[0101] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0102] The above describes specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0103] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the embodiments of the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present application should be included in the scope of the claims of the present application.

Claims

1. A method for monitoring wheel pulley resistance energy consumption based on new energy vehicles, characterized in that: The method comprises: According to the magnetic encoder in the suspension system of the new energy vehicle, the tire three-dimensional modeling perception of the wheel running state of the new energy vehicle under straight-line driving is performed to determine the abnormal wheel deviation tire of the new energy vehicle; Through a preset visual model, the abnormal wheel deviation tire is identified and segmented in the tire body deformation area to obtain a tread contact plane map; and according to the geometric characteristics and mechanical characteristics between the tread and the ground, the characteristic parameters of the tread contact plane map under the extrusion area are calculated and processed to obtain the abnormal wheel deviation parameters of the abnormal wheel deviation tire; Based on the tire characterization parameters of the new energy vehicle, the abnormal wheel deviation parameters are calculated based on the global contact coupling stiffness between the tire's own contact parameters and the degree of ground particle dispersion to determine the tire stress of the abnormal wheel deviation tire; The tire stress is input into a pre-trained tire rolling resistance model, and based on the weighted connection space mapping from the input layer to the hidden layer in the tire rolling resistance model, the tire rolling resistance of the abnormal wheel deviation tire is calculated and obtained; According to the tire rolling resistance and the corresponding tire amplitude, the energy loss of a single tire is compared for the abnormal wheel deviation tire to determine the additional wheel deviation energy consumption; The additional wheel deviation energy consumption is integrated with the remaining mileage management system of the new energy vehicle to obtain the remaining mileage prediction data of the new energy vehicle under abnormal wheel deviation.

2. A method for monitoring wheel pulley resistance energy consumption based on new energy vehicles according to claim 1, characterized in that: According to the magnetic encoder in the suspension system of the new energy vehicle, the wheel running state of the new energy vehicle is perceived based on the tire three-dimensional modeling under straight-line driving, and the abnormal wheel deviation tire of the new energy vehicle is determined, specifically including: The magnetic encoder is pre-installed on the kingpin shaft of the new energy vehicle suspension system, and the preset chip locator is arranged on the inner side of the wheel hub of the vacuum inner tube of the new energy vehicle; wherein the chip locator is used to determine the coordinates when the wheel moves; the magnetic encoder is used to measure the distance parameter; When it is detected that the new energy vehicle is in a straight-line driving state, the data signal of the magnetic encoder and the chip locator is received by the new energy vehicle central control system; The magnetic encoder continuously identifies the distance between the wheel hub and the kingpin axis when the wheel moves, and determines a horizontal interval distance curve based on the current time node; and calculates the inclination angle between the kingpin axis and the ground vertical line at the point where the peak value changes in the interval distance curve, and determines the kingpin inclination angle of the abnormal tire and the corresponding wheel with abnormal kingpin inclination angle; wherein the point where the peak value changes represents the occurrence of vehicle wheel deviation; By using the magnetic encoder, the distance between the kingpin axis and the ground is identified when the wheel moves, and the ground clearance distance at the current time node is obtained; and the ground clearance distance at the current time node and the historical ground clearance distance are judged for changes. If there is a difference, the caster angle of the abnormal tire corresponding to the ground clearance distance at the current time node is recorded, and the wheel with abnormal caster angle is determined; A three-dimensional tire cross-sectional diagram of the new energy vehicle is established through the coordinate signals emitted by the plurality of chip locators; wherein the three-dimensional tire cross-sectional diagram is a vector circular diagram generated based on the plurality of coordinate signals; According to the relative distance between each three-dimensional tire section in the three-dimensional tire cross-sectional diagram, the abnormal driving state of the wheel of the new energy vehicle is judged to obtain the wheel with abnormal motion angle; wherein the wheel with abnormal motion angle includes: wheel with inclination angle and wheel with toe angle; The data of the wheel with abnormal kingpin inclination angle, the wheel with abnormal kingpin caster angle and the wheel with abnormal motion angle are integrated and processed to determine the abnormal wheel deviation tire.

3. The method for monitoring wheel pulley resistance energy consumption based on new energy vehicles according to claim 2 is characterized in that: According to the relative distance between each three-dimensional tire cross section in the three-dimensional tire cross section diagram, the abnormal driving state of the wheel of the new energy vehicle is judged to obtain the wheel with abnormal movement angle, specifically including: Calculate the intersection of the vector plane corresponding to the three-dimensional tire cross-section image and the vertical plane corresponding to the vertical line of the ground to obtain the intersection angle of the intersection planes; and perform a threshold judgment on the intersection angle of the intersection planes; If the angle between the intersecting planes is greater than or equal to a first preset threshold, the wheel with the wheel inclination angle corresponding to the three-dimensional tire cross-sectional image is determined as the wheel with the abnormal motion angle; Extracting a wheel vector plane pair in the three-dimensional tire cross-sectional view; wherein the wheel vector plane pair is a pair of driving wheels or a pair of driven wheels of the new energy vehicle; Performing translation and coincidence processing on the first wheel vector plane and the second wheel vector plane in the wheel vector plane pair based on the center points of the two planes; If there is a plane angle between the first wheel vector plane and the second wheel vector plane, the first wheel vector plane and the second wheel vector plane are respectively compared with a standard wheel vector plane for plane coincidence judgment; wherein the standard wheel vector plane is a vector plane consistent with the forward direction; If there is a wheel vector plane that does not conform to the standard wheel vector plane, the abnormal wheel corresponding to the wheel vector plane pair is determined as the wheel toe angle wheel, and the abnormal wheel is determined as the abnormal motion angle wheel.

4. The method for monitoring wheel pulley resistance energy consumption based on new energy vehicles according to claim 1 is characterized in that: Through a preset visual model, the abnormal wheel deviation tire is identified and segmented in the tire body deformation area to obtain a tread contact plane map, specifically including: collecting a sidewall image of the tire with abnormal wheel deviation; Through the SAM visual model, the sidewall image is marked with inner and outer offset point coordinates based on the center coordinate points of the wheel axle to obtain a wheel profile image; wherein the inner offset point coordinates are evenly distributed in the wheel hub, and the outer offset point coordinates are evenly distributed in the sidewall tire; According to the wheel hub features corresponding to the inner offset point coordinates and the tire rubber ring features corresponding to the outer offset point coordinates, a segmentation mask generation process is performed on the wheel hub region in the wheel contour image to obtain a wheel hub segmentation mask region; Based on the foreground point sequence of the sidewall tire area in the wheel contour image, segment the edge contour of the hub segmentation mask area based on the focus loss function to obtain a sidewall tire area image; Identifying and marking a sidewall deformation region image in the sidewall tire region image; According to the horizontal distribution sequence of grayscale pixels in the sidewall deformation area image, the grayscale pixel area is divided into different textures to obtain a sidewall horizontal texture image; wherein the horizontal texture in the sidewall horizontal texture image represents the force extrusion condition of the sidewall; The image of the sidewall deformation area is subjected to image symmetric extension processing related to the tire body deformation area to obtain an estimated tread contact plane map; wherein the image symmetric extension processing is to perform image symmetric replication processing based on the sidewall tire edge on the image of the sidewall deformation area; The sidewall horizontal texture image is symmetrically mapped onto the estimated tread contact plane map to generate the tread contact plane map.

5. The method for monitoring wheel pulley resistance energy consumption based on new energy vehicles according to claim 1 is characterized in that: According to the geometric characteristics and mechanical characteristics between the tread and the ground, the characteristic parameters of the tread contact plane diagram in the squeeze area are calculated and processed to obtain the abnormal wheel deviation parameters of the abnormal wheel deviation tire, specifically including: Calculating the texture area in the tread contact plane based on the area under the squeeze area between the tire and the ground to obtain a contact area; Determine the multi-directional axle length of the extrusion area according to the unit pixel length of the texture area in the tread contact plane image; wherein the multi-directional axle length is the horizontal and vertical edge length of the texture area; Based on the multi-directional wheel axle length, the concave-convex shape of the texture area is calculated based on the inner angle radian value to determine the shape of the texture area; wherein the concave-convex shape includes: an outer convex texture shape and an inner concave texture shape; According to the basic parameters of the new energy vehicle, and based on the ground contact area of ​​the abnormal wheel deviation tire and the density of grayscale pixels in the texture area, the average ground contact pressure of the abnormal wheel deviation tire and the corresponding maximum ground contact pressure are determined; wherein the area corresponding to the density of the grayscale pixels is related to the maximum ground contact pressure; the basic parameters include at least: vehicle weight, vehicle acceleration, total tire rotational inertia and dynamic wheel radius; By using the average contact pressure and the corresponding maximum contact pressure, and based on the multi-directional wheel axle length and the shape of the texture area, a discrete calculation of the pressure distribution of the texture area is performed to obtain a contact pressure deflection value; wherein the contact pressure deflection value is used to characterize the degree of discreteness of the pressure distribution between the tread and the ground; The ground contact area, the average ground contact pressure, the maximum ground contact pressure and the ground contact pressure deviation value are integrated to obtain the abnormal wheel deviation parameter of the abnormal wheel deviation tire.

6. The method for monitoring wheel pulley resistance energy consumption based on new energy vehicles according to claim 1 is characterized in that: Based on the tire characterization parameters of the new energy vehicle, the abnormal wheel deviation parameters are calculated based on the global contact coupling stiffness between the tire's own contact parameters and the ground particle discreteness, and the tire stress of the abnormal wheel deviation tire is determined, specifically including: Collect the tire characterization parameters of the current tire model of the new energy vehicle; wherein the tire characterization parameters at least include: material elasticity, material plasticity, surface pattern characteristics, material abrasion, maximum material fracture parameter, maximum material slip parameter and maximum material friction parameter; By using a preset continuous-discontinuous unit method and based on the tire characterization parameters, the abnormal wheel deviation parameters are subjected to node force calculation based on the tire's own contact parameters to obtain a node resultant force; wherein the node resultant force includes: a node damping force based on the tire characterization parameters, a contact surface contribution node force based on the contact area, a node force contributed by a finite element unit deformation based on an average contact pressure, and a node external force based on a maximum contact pressure; Based on the physical quantity of the motion state of the new energy vehicle at the current time node, the abnormal wheel deviation parameter is subjected to contact force calculation based on the discrete degree of ground particles to obtain particle contact force; wherein the particle contact force includes: normal contact force between particles and tangential contact force between particles; The node resultant force and the particle contact force are coupled and calculated to obtain the tire stress of the tire with abnormal wheel deviation.

7. The method for monitoring wheel pulley resistance energy consumption based on new energy vehicles according to claim 1 is characterized in that: The tire stress is input into the pre-trained tire rolling resistance model, and based on the weight connection space mapping from the input layer to the hidden layer in the tire rolling resistance model, the tire rolling resistance of the abnormal wheel deviation tire is calculated and obtained, specifically including: Inputting the tire stress into the trained tire rolling resistance model; wherein the tire rolling resistance model is a neural network model; wherein the training data in the tire rolling resistance model is transformed nonlinearly into the hidden layer space through the input layer space, and is transformed linearly into the output layer space through the hidden layer space; Through the input layer in the tire rolling resistance model, the tire stress and the basic parameters of the new energy vehicle are processed by hidden layer direct space mapping based on kernel function; according to The extra rolling resistance F of the wheel deviation is obtained; wherein J1 is the total tire rotational inertia corresponding to the basic parameter; J2 is the tire rotational inertia of the tire with abnormal wheel deviation; ε is the ground contact area of ​​the abnormal wheel deviation parameter; r1 is the average ground contact pressure of the abnormal wheel deviation parameter; r2 is the maximum ground contact pressure of the abnormal wheel deviation parameter; is the contact pressure deviation value of the abnormal wheel deviation parameter; f is the tire stress; tan -1 δ is a tire characterization parameter; v is the wheel deviation contact deformation area volume in the abnormal wheel deviation parameter; d t is the time variation; F m is the total rolling resistance of the new energy vehicle; R d is the ideal average rolling resistance of each tire of the new energy vehicle; The extra rolling resistance due to wheel deviation is added to the wheel rolling resistance of a normal tire in the new energy vehicle to obtain the tire rolling resistance based on the tire with abnormal wheel deviation.

8. The method for monitoring wheel pulley resistance energy consumption based on new energy vehicles according to claim 1 is characterized in that: According to the tire rolling resistance and the corresponding tire amplitude, the energy loss of a single tire is compared for the abnormal wheel deviation tire to determine the additional wheel deviation energy consumption, specifically including: Acquire an abnormal tire amplitude curve of the abnormal wheel deviation tire; and construct an abnormal tire amplitude function based on the abnormal tire amplitude curve; Calculate the amplitude difference between the normal tire amplitude function of the new energy vehicle and the abnormal tire amplitude function to determine the amplitude difference interval; Calculate the ratio of the tire rolling resistance of the abnormal wheel deviation tire to the tire resistance of a normal tire to determine a rolling resistance coefficient; The energy loss per unit normal energy consumption loss of the normal tire is estimated through a preset envelope function, and the additional wheel deviation energy consumption of the abnormal wheel deviation tire is obtained based on the closed area between the upper envelope function and the lower envelope function; wherein the lower envelope function corresponds to the amplitude difference interval, and the upper envelope function corresponds to the rolling resistance coefficient.

9. The method for monitoring wheel pulley resistance energy consumption based on new energy vehicles according to claim 1, characterized in that: The additional wheel deviation energy consumption is integrated with the remaining mileage management system of the new energy vehicle to obtain the remaining mileage prediction data of the new energy vehicle under abnormal wheel deviation, specifically including: Extracting current remaining mileage data from the remaining mileage management system; Calculate the ratio of the additional wheel deviation energy consumption to the current remaining mileage energy consumption under the current remaining mileage data to obtain an abnormal energy consumption ratio coefficient; According to the abnormal energy consumption ratio coefficient, data prediction processing is performed on the current remaining mileage data to determine the remaining mileage prediction data of the new energy vehicle under the abnormal wheel deviation condition.

10. A wheel deflection resistance energy consumption monitoring device based on new energy vehicles, characterized in that: The device comprises: 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, so that the at least one processor can execute the wheel pulley resistance energy consumption monitoring method based on new energy vehicles according to any one of claims 1-9.

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