A method and system for calculating wheel center force pseudo-damage using acceleration

Abstract

The present invention relates to the technical field of tire damage prediction, and provides a method and system for calculating pseudo-damage of wheel center force using acceleration, including: obtaining multiple acceleration time domain signals and state time domain signals of a vehicle and preprocessing them; decomposing the six components of wheel center force in the preprocessed state time domain signal to generate multiple decomposed forces; determining the load characteristics of the vehicle during driving based on the time domain change characteristics of the vehicle, dividing the vehicle working conditions based on the load characteristics, and selecting specific acceleration signals associated with the six components of wheel center force under each working condition according to the posture and driving state of the whole vehicle combined with the vehicle load characteristics; calculating the relationship between pseudo-damage of the six components of wheel center force and specific acceleration pseudo-damage in each working condition according to a linear cumulative damage calculation formula; determining pseudo-damage of the six components of wheel center force through acceleration pseudo-damage obtained in real time. The present invention solves the problem that the existing whole vehicle damage detection is high in cost and cannot be detected for a long time.

Description

Technical Field

[0001] The present invention relates to the technical field of tire damage prediction, and in particular to a method and system for calculating wheel center force pseudo damage using acceleration. Background Art

[0002] Tires are an important part of the vehicle driving system. The stress at the wheel center plays an important role in the movement of the vehicle. It is an important parameter that determines the dynamic state of the vehicle. It is also an important research object for the reliability and durability of the vehicle. During the driving process of the vehicle, the wheel center force is affected by many factors. It is difficult to obtain the wheel center force and its damage under different working conditions through theory. At present, the six-component wheel force sensor is an important means to obtain the wheel center force. This sensor can directly obtain the wheel center force under different working conditions, but due to its very high cost, it cannot be applied to vehicle tire load collection on a large scale and for a long time to obtain wheel center force damage; using multi-body simulation software to calculate the wheel center force of the tire model requires calibrating the tire parameters of the tire model through test data of multiple models and different operating conditions. The calibration process requires high manpower and material costs.

[0003] The existing methods for obtaining wheel center force damage have too high acquisition costs and cannot collect wheel force over a large range and for a long time. How to characterize tire force damage through easily accessible physical quantities is crucial to the study of vehicle reliability and durability. Summary of the invention

[0004] The present invention provides a method and system for calculating wheel center force pseudo damage by using acceleration, so as to solve the problems of high cost and long-term detection in existing vehicle damage detection.

[0005] The present invention provides a method for calculating wheel center force pseudo damage using acceleration, comprising:

[0006] Acquire multiple acceleration time domain signals and state time domain signals of the vehicle, and pre-process the acquired acceleration time domain signals and state time domain signals;

[0007] Decompose the six-component force of the wheel center in the preprocessed state time domain signal to generate multiple decomposed forces;

[0008] Determining load characteristics of the vehicle during driving based on the time domain variation characteristics of the vehicle, and dividing the vehicle operating conditions based on the load characteristics;

[0009] Based on the vehicle working condition, according to the whole vehicle posture and driving state combined with the vehicle load characteristics, a specific acceleration signal associated with the six components of the wheel center under each working condition is selected;

[0010] Based on the specific acceleration signals associated with the six-component force of the wheel center under each working condition, the relationship between the pseudo-damage of the six-component force of the wheel center and the specific acceleration pseudo-damage under each working condition is calculated;

[0011] Based on the relationship between the pseudo-damage of the six-component force of the wheel center and the specific acceleration pseudo-damage in each working condition, the pseudo-damage of the six-component force of the wheel center is determined by the acceleration pseudo-damage obtained in real time.

[0012] According to a method for calculating wheel center force pseudo damage using acceleration provided by the present invention, the method of obtaining multiple acceleration time domain signals and state time domain signals of a vehicle and preprocessing the obtained acceleration time domain signals and state time domain signals specifically includes:

[0013] Acceleration sensors are installed on the axle head and the center ventral surface of the frame to obtain the three-dimensional acceleration of the axle head and the three-dimensional acceleration of the vehicle center of mass. The six-component force of the wheel center is obtained through the six-component force sensor of the wheel. The vehicle speed signal, brake signal, throttle acceleration signal, engine speed and gear position signal are obtained simultaneously.

[0014] The three-dimensional acceleration of the shaft head, the three-dimensional acceleration of the vehicle center of mass, the six-component force of the wheel center, the vehicle speed signal, the brake signal, the throttle acceleration signal, the engine speed and the gear signal are checked to remove burrs and drift trends and complete preprocessing.

[0015] According to a method for calculating wheel center force pseudo damage using acceleration provided by the present invention, the six components of wheel center force in the preprocessed state time domain signal are decomposed to generate multiple decomposed forces, specifically including:

[0016] Decomposing the six-component force of the wheel center into longitudinal force and vertical force;

[0017] The longitudinal force is divided into braking force, driving force and road impact force, and the vertical force is divided into low-frequency vertical force and high-frequency vertical force.

[0018] According to a method for calculating wheel center force pseudo damage using acceleration provided by the present invention, the load characteristics of the vehicle during driving are determined based on the time domain change characteristics of the vehicle, and the vehicle working conditions are divided based on the load characteristics, specifically including:

[0019] Determine the vehicle driving state based on the vehicle time domain change characteristics and determine the load characteristics of the current vehicle state;

[0020] The corresponding vehicle operating conditions are divided according to different types of load characteristics.

[0021] According to a method for calculating wheel center force pseudo damage using acceleration provided by the present invention, the method calculates the relationship between the pseudo damage of the six-component force of the wheel center in each working condition and the specific acceleration pseudo damage based on the specific acceleration signal associated with the six-component force of the wheel center in each working condition, specifically including:

[0022] Based on the specific acceleration signals associated with the six-component force of the wheel center under each working condition, the pseudo damage of the six-component force of the wheel center under each working condition and the corresponding specific acceleration pseudo damage are calculated by the linear cumulative damage calculation formula;

[0023] A prediction model is constructed according to the pseudo damage of the six-component force of the wheel center in each working condition and the corresponding specific acceleration pseudo damage, and the relationship between the pseudo damage of the six-component force of the wheel center in each working condition and the specific acceleration pseudo damage is determined based on the prediction model.

[0024] According to a method for calculating wheel center force pseudo damage using acceleration provided by the present invention, the pseudo damage of the six-component force of the wheel center is determined by the acceleration pseudo damage obtained in real time based on the relationship between the pseudo damage of the six-component force of the wheel center in each working condition and the specific acceleration pseudo damage, which specifically includes:

[0025] Input the acceleration pseudo-damage acquired in real time into the prediction model;

[0026] The corresponding relationship between the acceleration pseudo-damage and the pseudo-damage of the six-component force of the wheel center is matched by the prediction model to determine the current pseudo-damage of the six-component force of the wheel center.

[0027] The present invention also provides a system for calculating wheel center force pseudo damage using acceleration, the system comprising:

[0028] A signal acquisition module, used to acquire multiple acceleration time domain signals and state time domain signals of the vehicle, and pre-process the acquired acceleration time domain signals and state time domain signals;

[0029] A decomposition module is used to decompose the six-component force of the wheel center in the preprocessed state time domain signal to generate multiple decomposed forces;

[0030] A working condition classification module, used to determine the load characteristics of the vehicle during driving based on the time domain variation characteristics of the vehicle, and to classify the vehicle working conditions based on the load characteristics;

[0031] An acceleration correlation module is used to select specific acceleration signals associated with the six-component force of the wheel center under each working condition based on the vehicle working condition, the vehicle posture and driving state combined with the vehicle load characteristics;

[0032] A relationship matching module is used to calculate the relationship between the pseudo damage of the six-component force of the wheel center and the specific acceleration pseudo damage in each working condition based on the specific acceleration signal associated with the six-component force of the wheel center in each working condition;

[0033] The prediction module is used to determine the pseudo damage of the six-component force of the wheel center through the acceleration pseudo damage obtained in real time based on the relationship between the pseudo damage of the six-component force of the wheel center in each working condition and the specific acceleration pseudo damage.

[0034] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for calculating wheel center force pseudo-damage using acceleration as described in any one of the above methods is implemented.

[0035] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method for calculating wheel center force pseudo-damage using acceleration as described in any one of the above methods is implemented.

[0036] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method for calculating wheel center force pseudo-damage using acceleration as described in any one of the above methods is implemented.

[0037] The present invention provides a method and system for calculating wheel center force pseudo-damage using acceleration. The method and system arrange axle head acceleration sensors, frame center ventral acceleration sensors, and wheel six-component force sensors on a vehicle, synchronously collect vehicle CAN signals such as vehicle speed signals, brake signals, throttle signals, and engine speed, and record real-time data such as wheel six-component force and axle head acceleration during vehicle driving through a data collector. The method and system analyze data and calculate pseudo-damage to study the quantitative relationship between acceleration and wheel force damage. The method collects acceleration signals of user vehicles with the same configuration to predict the damage of their wheel six-component force, thereby providing key data support for vehicle reliability and durability research. The method also reduces tire damage detection costs and improves accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 It is a flow chart of a method for calculating wheel center force pseudo damage using acceleration provided by the present invention.

[0040] Figure 2 is the vertical force of the left front wheel of the vehicle provided by the present invention ( ) Frequency distribution diagram.

[0041] Figure 3 The present invention provides a module connection diagram of a system for calculating wheel center force pseudo damage using acceleration.

[0042] Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention.

[0043] Reference numerals: 110: signal acquisition module; 120: decomposition module; 130: working condition division module; 140: acceleration association module; 150: relationship matching module; 160: prediction module; 410: processor; 420: communication interface; 430: memory; 440: communication bus. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] Combine the following Figure 1 A method for calculating wheel center force pseudo damage using acceleration according to the present invention is described, comprising: step 100, obtaining multiple acceleration time domain signals and state time domain signals of the vehicle, and preprocessing the obtained acceleration time domain signals and state time domain signals.

[0046] Specifically, it includes: installing acceleration sensors on the axle head and the center ventral surface of the frame to obtain the three-dimensional acceleration of the axle head and the three-dimensional acceleration of the vehicle center of mass, obtaining the six-component force of the wheel center through the six-component force sensor of the wheel, and synchronously obtaining the vehicle speed signal, brake signal, throttle acceleration signal, engine speed and gear position signal;

[0047] The three-dimensional acceleration of the shaft head, the three-dimensional acceleration of the vehicle center of mass, the six-component force of the wheel center, the vehicle speed signal, the brake signal, the throttle acceleration signal, the engine speed and the gear signal are checked to remove burrs and drift trends and complete preprocessing.

[0048] In the present invention, acceleration sensors are arranged on the axle head and the center ventral surface of the frame to obtain the three-dimensional acceleration of the axle head. , vehicle center of mass position three-dimensional acceleration , Obtain the six-component force of the wheel center through the six-component force sensor of the wheel , synchronously collect vehicle speed signals , Brake signal , throttle acceleration signal , Engine speed , gear information Vehicle CAN signals; use a data collector to collect the above sensor data in real time, and perform necessary signal processing on the acquired time domain signals: data inspection, burr removal, and drift trend removal.

[0049] Step 200: Decompose the six-component wheel center force in the preprocessed state time domain signal to generate multiple decomposed forces.

[0050] Specifically, it includes: decomposing the six-component force of the wheel center into longitudinal force and vertical force;

[0051] The longitudinal force is divided into braking force, driving force and road impact force, and the vertical force is divided into low-frequency vertical force and high-frequency vertical force.

[0052] In the present invention, the longitudinal force is divided into the braking force , Driving force and road impact , the decomposition basis and calculation formula are as follows:

[0053] (1)

[0054] In the formula, For wheels x Towards force, is the wheel radius, Around the wheel y Torque.

[0055] refer to Figure 2 ,exist Figure 2 The horizontal axis represents the frequency, and the vertical axis represents the energy of the vertical force. The vertical force is decomposed into low-frequency and high frequency Two parts, high-frequency / low-frequency vertical force is generated by different excitations of the vehicle. The low-frequency part represents the excitation exerted by driving operations such as turning, braking, acceleration and frame movement, and the high-frequency part represents the vertical excitation of the vehicle by the road.

[0056] Step 300: Determine the load characteristics of the vehicle during driving based on the time-domain variation characteristics of the vehicle, and divide the vehicle operating conditions based on the load characteristics.

[0057] Specifically including: judging the vehicle driving state based on the vehicle time domain change characteristics, judging the load characteristics of the current vehicle state;

[0058] The corresponding vehicle operating conditions are divided according to different types of load characteristics.

[0059] In the present invention, the vehicle operating conditions are divided by identifying the time domain signal load characteristics. The basis for dividing each operating condition is shown in Table 1. Each vehicle operating condition is independent of each other, that is, turning, braking and driving on uneven roads may occur at the same time. The division of vehicle operating conditions meets the actual driving conditions.

[0060] Table 1 Load characteristics of each working condition during vehicle driving

[0061]

[0062] in, Indicates the engine speed, represents the y-direction acceleration of the center ventral surface of the vehicle frame, Indicates the vehicle speed. represents the x-axis acceleration of the center ventral surface of the vehicle frame, Indicates the vehicle brake signal. represents the z-axis acceleration of the vehicle axle head, Indicates the z-axis acceleration of the axle head when the vehicle is just started. Indicates the total mileage of the vehicle at the end of the working condition. Indicates the total mileage of the vehicle at the beginning of the working condition. Indicates the load characteristic value determined for a specific vehicle model.

[0063] Step 400: Based on the vehicle working condition, according to the whole vehicle posture and driving state combined with the vehicle load characteristics, select the specific acceleration signal associated with the six-component force of the wheel center under each working condition.

[0064] In the present invention, according to the vehicle working condition, the whole vehicle posture and driving state, and the vehicle load characteristics, a specific acceleration signal that can be associated with the six-component force of the wheel center under each working condition is selected, and the detailed definition is shown in Table 2.

[0065] Table 2 Correspondence between driving state and specific acceleration

[0066]

[0067] Step 500: Based on the specific acceleration signal associated with the six-component force of the wheel center under each working condition, the relationship between the pseudo damage of the six-component force of the wheel center and the specific acceleration pseudo damage in each working condition is calculated.

[0068] Specifically, it includes: based on the specific acceleration signal associated with the six-component force of the wheel center under each working condition, the pseudo damage of the six-component force of the wheel center under each working condition and the corresponding specific acceleration pseudo damage are calculated by the linear cumulative damage calculation formula;

[0069] A prediction model is constructed according to the pseudo damage of the six-component force of the wheel center in each working condition and the corresponding specific acceleration pseudo damage, and the relationship between the pseudo damage of the six-component force of the wheel center in each working condition and the specific acceleration pseudo damage is determined based on the prediction model.

[0070] In the present invention, the calculation of each working condition Pseudo-damage of six-component force and specificity of each working condition Acceleration pseudo damage. According to the linear cumulative damage theory, equation 2 can be obtained.

[0071] (2)

[0072] In the formula . Calculate the six-component force of the wheel and the specific acceleration pseudo-damage.

[0073] Under different working conditions and They are independent of each other, so the relationship between them should satisfy Formula 3.

[0074] (3)

[0075] We can find the form of Formula 4 so that Formula 3 holds true.

[0076] (4)

[0077] The parameters should satisfy The residual sum of squares is the smallest, that is:

[0078] (5)

[0079] Finally get right The predicted model is as follows:

[0080] (6)

[0081] Under various working conditions and specific The corresponding relationship between them is shown in Table 3.

[0082] Table 3 Relationship between six-component force pseudo-damage and specific acceleration pseudo-damage under various working conditions

[0083]

[0084] in, represents the pseudo damage value of the z-direction force of the vehicle wheel center, represents the pseudo damage value of the vehicle axle head z-axis acceleration, It represents the pseudo damage value of the low-frequency segment of the z-direction force of the vehicle wheel center. It represents the pseudo damage value of the z-direction acceleration of the center ventral surface of the vehicle frame, Indicates the pseudo damage value of the high-frequency segment of the vehicle wheel center z-direction force, It represents the pseudo damage value of the x-direction force of the vehicle wheel center under braking conditions, It represents the pseudo damage value of the x-direction acceleration of the center ventral surface of the vehicle frame under braking conditions. It represents the pseudo damage value of the x-direction force of the vehicle wheel center under acceleration conditions, It represents the pseudo damage value of the x-direction acceleration of the center ventral surface of the vehicle frame under acceleration conditions. It represents the pseudo damage value of the x-direction force of the vehicle wheel center under bad road conditions. It represents the pseudo damage value of the vehicle axle head x-axis acceleration under bad road conditions. Indicates the pseudo damage value of the vehicle wheel center y-direction force, It represents the pseudo damage value of the y-direction acceleration of the center ventral surface of the vehicle frame, It is expressed as the constant term in the corresponding relationship between the pseudo-damage value of the six-component force of the vehicle wheel center and the pseudo-damage value of acceleration, It is expressed as the coefficient term of acceleration pseudo-damage in the corresponding relationship between the pseudo-damage value of the six-component force of the vehicle wheel center and the acceleration pseudo-damage value.

[0085] Step 600: Based on the relationship between the pseudo damage of the six-component force of the wheel center and the specific acceleration pseudo damage in each working condition, the pseudo damage of the six-component force of the wheel center is determined by the acceleration pseudo damage obtained in real time.

[0086] Specifically, it includes: inputting the acceleration pseudo-damage acquired in real time into the prediction model;

[0087] The corresponding relationship between the acceleration pseudo-damage and the pseudo-damage of the six-component force of the wheel center is matched by the prediction model to determine the current pseudo-damage of the six-component force of the wheel center.

[0088] Based on the method provided by the present invention for calculating pseudo-damage of wheel center force using acceleration, an axle head acceleration sensor, a frame center ventral acceleration sensor and a wheel six-component force sensor are arranged on the vehicle, vehicle CAN signals such as vehicle speed signal, brake signal, throttle signal and engine speed are synchronously collected, and real-time data such as wheel six-component force and axle head acceleration during vehicle driving are recorded by a data collector. The quantitative relationship between acceleration and wheel force damage is studied through data analysis and pseudo-damage calculation; the acceleration signals of user vehicles with the same configuration are collected to predict the damage of the wheel six-component force, thereby providing key data support for vehicle reliability and durability research; the cost of tire damage detection is reduced and the accuracy is improved.

[0089] refer to Figure 3 The present invention also discloses a system for calculating wheel center force pseudo damage using acceleration, the system comprising:

[0090] The signal acquisition module 110 is used to acquire multiple acceleration time domain signals and state time domain signals of the vehicle, and pre-process the acquired acceleration time domain signals and state time domain signals;

[0091] A decomposition module 120, for decomposing the six wheel center forces in the preprocessed state time domain signal to generate multiple decomposed forces;

[0092] A working condition classification module 130, for determining a load characteristic of a vehicle during driving based on a time domain variation characteristic of the vehicle, and classifying a vehicle working condition based on the load characteristic;

[0093] The acceleration association module 140 is used to select specific acceleration signals associated with the six components of the wheel center force under each working condition based on the vehicle working condition according to the vehicle posture and driving state combined with the vehicle load characteristics;

[0094] A relationship matching module 150 is used to calculate the relationship between the pseudo damage of the six-component force of the wheel center and the specific acceleration pseudo damage in each working condition based on the specific acceleration signal associated with the six-component force of the wheel center in each working condition;

[0095] The prediction module 160 is used to determine the pseudo damage of the six-component force of the wheel center through the acceleration pseudo damage obtained in real time based on the relationship between the pseudo damage of the six-component force of the wheel center and the specific acceleration pseudo damage in each working condition.

[0096] The step of acquiring a plurality of acceleration time domain signals and state time domain signals of the vehicle and preprocessing the acquired acceleration time domain signals and state time domain signals specifically includes:

[0097] Acceleration sensors are installed on the axle head and the center ventral surface of the frame to obtain the three-dimensional acceleration of the axle head and the three-dimensional acceleration of the vehicle center of mass. The six-component force of the wheel center is obtained through the six-component force sensor of the wheel. The vehicle speed signal, brake signal, throttle acceleration signal, engine speed and gear position signal are obtained simultaneously.

[0098] The three-dimensional acceleration of the shaft head, the three-dimensional acceleration of the vehicle center of mass, the six-component force of the wheel center, the vehicle speed signal, the brake signal, the throttle acceleration signal, the engine speed and the gear signal are checked to remove burrs and drift trends and complete preprocessing.

[0099] The six-component force of the wheel center in the preprocessed state time domain signal is decomposed to generate multiple decomposed forces, specifically including:

[0100] Decomposing the six-component force of the wheel center into longitudinal force and vertical force;

[0101] The longitudinal force is divided into braking force, driving force and road impact force, and the vertical force is divided into low-frequency vertical force and high-frequency vertical force.

[0102] Determining the load characteristics of the vehicle during driving based on the time domain variation characteristics of the vehicle, and dividing the vehicle working conditions based on the load characteristics, specifically including:

[0103] Determine the vehicle driving state based on the vehicle time domain change characteristics and determine the load characteristics of the current vehicle state;

[0104] The corresponding vehicle operating conditions are divided according to different types of load characteristics.

[0105] Based on the specific acceleration signals associated with the six-component force of the wheel center under each working condition, the relationship between the pseudo-damage of the six-component force of the wheel center and the specific acceleration pseudo-damage in each working condition is calculated, including:

[0106] Based on the specific acceleration signals associated with the six-component force of the wheel center under each working condition, the pseudo damage of the six-component force of the wheel center under each working condition and the corresponding specific acceleration pseudo damage are calculated by the linear cumulative damage calculation formula;

[0107] A prediction model is constructed according to the pseudo damage of the six-component force of the wheel center in each working condition and the corresponding specific acceleration pseudo damage, and the relationship between the pseudo damage of the six-component force of the wheel center in each working condition and the specific acceleration pseudo damage is determined based on the prediction model.

[0108] Based on the relationship between the pseudo damage of the six-component force of the wheel center and the specific acceleration pseudo damage in each working condition, the pseudo damage of the six-component force of the wheel center is determined by the acceleration pseudo damage obtained in real time, specifically including:

[0109] Input the acceleration pseudo-damage acquired in real time into the prediction model;

[0110] The corresponding relationship between the acceleration pseudo-damage and the pseudo-damage of the six-component force of the wheel center is matched by the prediction model to determine the current pseudo-damage of the six-component force of the wheel center.

[0111] A system for calculating pseudo-damage of wheel center force using acceleration is provided based on the present invention. By arranging an axle head acceleration sensor, a frame center ventral acceleration sensor, and a wheel six-component force sensor on a vehicle, vehicle CAN signals such as vehicle speed signal, brake signal, throttle signal, and engine speed are synchronously collected. Real-time data such as the six-component wheel force and axle head acceleration during vehicle driving are recorded through a data collector. Through data analysis and pseudo-damage calculation, the quantitative relationship between acceleration and wheel force damage is studied. By collecting acceleration signals of user vehicles with the same configuration, the damage of the six-component wheel force is predicted, providing key data support for vehicle reliability and durability research. The cost of tire damage detection is reduced and the accuracy is improved.

[0112] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 4As shown, the electronic device may include: a processor 410 , a communication interface 420 , a memory 430 and a communication bus 440 , wherein the processor 410 , the communication interface 420 , and the memory 430 communicate with each other via the communication bus 440 . The processor 410 can call the logic instructions in the memory 430 to execute a method for calculating wheel center force pseudo-damage using acceleration, the method comprising: obtaining multiple acceleration time domain signals and state time domain signals of the vehicle, and preprocessing the acquired acceleration time domain signals and state time domain signals; decomposing the six components of the wheel center force in the preprocessed state time domain signals to generate multiple decomposed forces; determining the load characteristics of the vehicle during driving based on the time domain change characteristics of the vehicle, and dividing the vehicle working conditions based on the load characteristics; based on the vehicle working conditions, according to the posture and driving state of the whole vehicle combined with the vehicle load characteristics, selecting specific acceleration signals associated with the six components of the wheel center force under each working condition; based on the specific acceleration signals associated with the six components of the wheel center force under each working condition, calculating the relationship between the pseudo-damage of the six components of the wheel center force and the specific acceleration pseudo-damage in each working condition; based on the relationship between the pseudo-damage of the six components of the wheel center force and the specific acceleration pseudo-damage in each working condition, determining the pseudo-damage of the six components of the wheel center force through the acceleration pseudo-damage obtained in real time.

[0113] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0114] On the other hand, the present invention also provides a computer program product, which includes a computer program, which can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute a method for calculating wheel center force pseudo-damage using acceleration provided by the above methods, the method including: obtaining multiple acceleration time domain signals and state time domain signals of the vehicle, and preprocessing the acquired acceleration time domain signals and state time domain signals; decomposing the six components of the wheel center force in the preprocessed state time domain signal to generate multiple decomposed forces; determining the load characteristics of the vehicle during driving based on the time domain change characteristics of the vehicle, and dividing the vehicle working conditions based on the load characteristics; based on the vehicle working conditions, according to the posture and driving state of the whole vehicle combined with the vehicle load characteristics, selecting specific acceleration signals associated with the six components of the wheel center force under each working condition; based on the specific acceleration signals associated with the six components of the wheel center force under each working condition, calculating the relationship between the pseudo-damage of the six components of the wheel center force and the specific acceleration pseudo-damage in each working condition; based on the relationship between the pseudo-damage of the six components of the wheel center force and the specific acceleration pseudo-damage in each working condition, determining the pseudo-damage of the six components of the wheel center force through the acceleration pseudo-damage obtained in real time.

[0115] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented by a processor to perform a method for calculating wheel center force pseudo-damage using acceleration provided by the above methods when executed, the method comprising: obtaining multiple acceleration time domain signals and state time domain signals of the vehicle, and preprocessing the acquired acceleration time domain signals and state time domain signals; decomposing the six components of the wheel center force in the preprocessed state time domain signals to generate multiple decomposed forces; determining the load characteristics of the vehicle during driving based on the time domain change characteristics of the vehicle, and dividing the vehicle working conditions based on the load characteristics; based on the vehicle working conditions, selecting specific acceleration signals associated with the six components of the wheel center force under each working condition according to the posture and driving state of the whole vehicle combined with the load characteristics of the vehicle; calculating the relationship between the pseudo-damage of the six components of the wheel center force and the specific acceleration pseudo-damage in each working condition based on the specific acceleration signals associated with the six components of the wheel center force; determining the pseudo-damage of the six components of the wheel center force through the acceleration pseudo-damage acquired in real time based on the relationship between the pseudo-damage of the six components of the wheel center force and the specific acceleration pseudo-damage in each working condition.

[0116] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0117] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0118] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for calculating wheel center force pseudo damage using acceleration, characterized in that: include: Acquire multiple acceleration time domain signals and state time domain signals of the vehicle, and pre-process the acquired acceleration time domain signals and state time domain signals; Decompose the six-component force of the wheel center in the preprocessed state time domain signal to generate multiple decomposed forces; Determining load characteristics of the vehicle during driving based on the time domain variation characteristics of the vehicle, and dividing the vehicle operating conditions based on the load characteristics; Based on the vehicle working condition, according to the whole vehicle posture and driving state combined with the vehicle load characteristics, a specific acceleration signal associated with the six components of the wheel center under each working condition is selected; Based on the specific acceleration signals associated with the six-component force of the wheel center under each working condition, the relationship between the pseudo-damage of the six-component force of the wheel center and the specific acceleration pseudo-damage under each working condition is calculated; Based on the relationship between the pseudo damage of the six-component force of the wheel center and the specific acceleration pseudo damage in each working condition, the pseudo damage of the six-component force of the wheel center is determined by the acceleration pseudo damage obtained in real time; The determining of the load characteristics of the vehicle during driving based on the time domain variation characteristics of the vehicle and the classification of the vehicle operating conditions based on the load characteristics specifically include: Determine the vehicle driving state based on the vehicle time domain change characteristics and determine the load characteristics of the current vehicle state; Divide the corresponding vehicle working conditions according to different types of load characteristics; Based on the specific acceleration signals associated with the six-component force of the wheel center under each working condition, the relationship between the pseudo-damage of the six-component force of the wheel center and the specific acceleration pseudo-damage in each working condition is calculated, including: Based on the specific acceleration signals associated with the six-component force of the wheel center under each working condition, the pseudo damage of the six-component force of the wheel center under each working condition and the corresponding specific acceleration pseudo damage are calculated by the linear cumulative damage calculation formula; A prediction model is constructed according to the pseudo damage of the six-component force of the wheel center in each working condition and the corresponding specific acceleration pseudo damage, and the relationship between the pseudo damage of the six-component force of the wheel center and the specific acceleration pseudo damage in each working condition is determined based on the prediction model; The method of determining the pseudo damage of the six-component force of the wheel center based on the relationship between the pseudo damage of the six-component force of the wheel center in each working condition and the specific acceleration pseudo damage by obtaining the pseudo damage of the acceleration in real time specifically includes: Input the acceleration pseudo-damage acquired in real time into the prediction model; The corresponding relationship between the acceleration pseudo-damage and the pseudo-damage of the six-component force of the wheel center is matched by the prediction model to determine the current pseudo-damage of the six-component force of the wheel center.

2. The method for calculating wheel center force pseudo damage using acceleration according to claim 1, characterized in that: The step of acquiring a plurality of acceleration time domain signals and state time domain signals of the vehicle and preprocessing the acquired acceleration time domain signals and state time domain signals specifically includes: Acceleration sensors are installed on the axle head and the center ventral surface of the frame to obtain the three-dimensional acceleration of the axle head and the three-dimensional acceleration of the vehicle center of mass. The six-component force of the wheel center is obtained through the six-component force sensor of the wheel. The vehicle speed signal, brake signal, throttle acceleration signal, engine speed and gear position signal are obtained simultaneously. The three-dimensional acceleration of the shaft head, the three-dimensional acceleration of the vehicle center of mass, the six-component force of the wheel center, the vehicle speed signal, the brake signal, the throttle acceleration signal, the engine speed and the gear signal are checked to remove burrs and drift trends and complete preprocessing.

3. The method for calculating wheel center force pseudo damage using acceleration according to claim 1, characterized in that: The six-component force of the wheel center in the preprocessed state time domain signal is decomposed to generate multiple decomposed forces, specifically including: Decomposing the six-component force of the wheel center into longitudinal force and vertical force; The longitudinal force is divided into braking force, driving force and road impact force, and the vertical force is divided into low-frequency vertical force and high-frequency vertical force.

4. A system for calculating pseudo-damage of wheel center force using acceleration, characterized in that: The system comprises: A signal acquisition module, used to acquire multiple acceleration time domain signals and state time domain signals of the vehicle, and pre-process the acquired acceleration time domain signals and state time domain signals; A decomposition module is used to decompose the six-component force of the wheel center in the preprocessed state time domain signal to generate multiple decomposed forces; A working condition classification module, used to determine the load characteristics of the vehicle during driving based on the time domain variation characteristics of the vehicle, and to classify the vehicle working conditions based on the load characteristics; An acceleration correlation module is used to select specific acceleration signals associated with the six-component force of the wheel center under each working condition based on the vehicle working condition, the vehicle posture and driving state combined with the vehicle load characteristics; A relationship matching module is used to calculate the relationship between the pseudo damage of the six-component force of the wheel center and the specific acceleration pseudo damage in each working condition based on the specific acceleration signal associated with the six-component force of the wheel center in each working condition; A prediction module is used to determine the pseudo damage of the six-component force of the wheel center through the acceleration pseudo damage obtained in real time based on the relationship between the pseudo damage of the six-component force of the wheel center in each working condition and the specific acceleration pseudo damage; The determining of the load characteristics of the vehicle during driving based on the time domain variation characteristics of the vehicle and the classification of the vehicle operating conditions based on the load characteristics specifically include: Determine the vehicle driving state based on the vehicle time domain change characteristics and determine the load characteristics of the current vehicle state; Divide the corresponding vehicle working conditions according to different types of load characteristics; Based on the specific acceleration signals associated with the six-component force of the wheel center under each working condition, the relationship between the pseudo-damage of the six-component force of the wheel center and the specific acceleration pseudo-damage in each working condition is calculated, including: Based on the specific acceleration signals associated with the six-component force of the wheel center under each working condition, the pseudo damage of the six-component force of the wheel center under each working condition and the corresponding specific acceleration pseudo damage are calculated by the linear cumulative damage calculation formula; A prediction model is constructed according to the pseudo damage of the six-component force of the wheel center in each working condition and the corresponding specific acceleration pseudo damage, and the relationship between the pseudo damage of the six-component force of the wheel center and the specific acceleration pseudo damage in each working condition is determined based on the prediction model; The method of determining the pseudo damage of the six-component force of the wheel center based on the relationship between the pseudo damage of the six-component force of the wheel center in each working condition and the specific acceleration pseudo damage by obtaining the pseudo damage of the acceleration in real time specifically includes: Input the acceleration pseudo-damage acquired in real time into the prediction model; The corresponding relationship between the acceleration pseudo-damage and the pseudo-damage of the six-component force of the wheel center is matched by the prediction model to determine the current pseudo-damage of the six-component force of the wheel center.

5. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method for calculating wheel center force pseudo-damage using acceleration as described in any one of claims 1 to 3 is implemented.

6. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for calculating wheel center force pseudo-damage using acceleration as described in any one of claims 1 to 3 is implemented.

7. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for calculating wheel center force pseudo-damage using acceleration as described in any one of claims 1 to 3 is implemented.

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