Durability test method and device suitable for active actuator hydraulic pump

Abstract

The invention discloses a durability test method and device suitable for an active actuator hydraulic pump, a multi-physics field coupling technology, namely force-temperature cooperative loading, is adopted, dynamic parameter adjustment is realized through data driving, a durability simulation system with a fatigue, wear and aging multi-factor synergistic effect is constructed, and the durability test method and device suitable for the active actuator hydraulic pump are applied to fatigue and wear simulation. On the basis of multi-source data, a complex and changeable force value signal is equivalent to a representative block spectrum by applying an equivalent damage principle, an active actuator is driven to move through a force value, and the fatigue and wear process is accurately strengthened; for aging simulation, in combination with temperature signal data of the active actuator and environment temperature signal data, accelerated simulation of an aging process is realized by utilizing an Arenius model. By collecting multi-source data in real time and carrying out comprehensive analysis, test parameters are dynamically adjusted, the performance attenuation process of the active actuator hydraulic pump under the combined action of multiple factors under the actual working condition is truly restored, and the accuracy and reliability of the test are remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of automotive component testing technology, specifically a durability testing method and apparatus for active actuator hydraulic pumps. Background Art

[0002] As a core component of the automotive suspension system, the active actuator hydraulic pump directly impacts vehicle comfort, handling stability, and safety. During vehicle operation, the active actuator hydraulic pump needs to adjust the actuator's main power in real time based on road conditions and vehicle driving status to ensure smooth vehicle operation. With the continuous development of the automotive industry and consumers' increasing demands for vehicle performance, higher standards are being set for the durability of the active actuator hydraulic pump. Accurately assessing the durability of the active actuator hydraulic pump is a key issue in the design and verification process of active actuators. In actual use, the hydraulic pump of the active actuator is affected by various factors, leading to a gradual decline in its performance and ultimately affecting the overall performance of the vehicle. Among these, fatigue, wear, and aging are the main factors affecting the durability of the active actuator hydraulic pump. For durability testing of active actuator hydraulic pumps, the common approach is to use fixed test conditions and environmental conditions. However, existing test schemes have the following shortcomings: they have serious deficiencies in simulating actual working conditions, and the simulation of key influencing factors such as fatigue, wear, and aging is not accurate or comprehensive enough; in terms of data processing and test optimization, existing schemes lack a systematic and scientific approach by recording basic performance parameters to assess durability, and cannot deeply analyze the intrinsic relationship between factors such as force and temperature and the durability of the hydraulic pump; existing actuator durability testing methods are inefficient and time-consuming, and cannot provide rapid and efficient verification for the development of active actuator products. Summary of the Invention

[0003] This invention aims to at least solve one of the technical problems existing in the prior art. To this end, this invention provides a durability testing method and apparatus suitable for active actuator hydraulic pumps, which specifically strengthens fatigue, wear, and accelerated aging, accurately calculates test conditions and ambient temperature, overcomes the shortcomings of traditional testing methods, achieves efficient testing of the durability of active actuator hydraulic pumps, and makes the test results more consistent with actual use scenarios.

[0004] According to a first aspect of the present invention, a durability testing method for an active actuator hydraulic pump includes: Collect road spectrum data, active actuator force request signal data, active actuator temperature signal data and ambient temperature signal data according to the preset vehicle durability conditions; Based on the principle of equivalent damage, Miner's linear cumulative damage theory is used to calculate the damage of the active actuator force request signal data to obtain the total damage value. Based on the statistical characteristics of the total damage value and the force request signal data, the force request signal block spectrum is obtained through a preset data processing equivalent method. The test time is calculated using a fatigue life prediction model by combining the force request signal block spectrum and the preset load spectrum target mileage. The ambient temperature signal data is divided into multiple temperature intervals according to a preset segmentation method, and the proportion of each temperature interval in the entire ambient temperature signal data is calculated. Based on the Arrhenius model, and combined with the test time and the proportion of each of the temperature ranges, the test environment temperature is calculated. Under the controlled test environment temperature and test time, a durability test is conducted on the active actuator hydraulic pump according to the force value request signal block spectrum; Monitor the performance data of the active actuator hydraulic pump and the real-time temperature information of the active actuator during the durability test; If the real-time active actuator temperature information is not within the first preset temperature range, the force request signal block spectrum is optimized and adjusted to the preset force request signal block spectrum, the preset test time is recalculated based on the preset force request signal block spectrum and the preset load spectrum target mileage, and the preset test environment temperature is recalculated based on the Arrhenius model and the preset test time. Under the preset test environment temperature and the preset test time, a durability test is conducted according to the preset force value request signal block spectrum.

[0005] The durability testing method according to embodiments of the present invention has at least the following beneficial effects: The present invention adopts multi-physics coupling technology, namely force-temperature co-loading, and realizes dynamic parameter adjustment through data driving, constructing a durability simulation system with the synergistic effect of multiple factors such as fatigue, wear and aging. In terms of fatigue and wear simulation, relying on multi-source data such as road spectrum and active actuator force value request signal data collected from the vehicle durability condition, the complex and variable force value signal is equivalent to a representative block spectrum by applying the equivalent damage principle. The active actuator is driven to move by force value, and the fatigue and wear process is accurately enhanced. For aging simulation, the active actuator temperature signal data and ambient temperature signal data are combined, and the Arrhenius model is used to realize the accelerated simulation of the aging process. More importantly, the system fully considers the coupling relationship between multiple factors. For example, the temperature change caused by force will accelerate the aging process, and the material properties caused by aging will affect fatigue and wear characteristics. By collecting multi-source data in real time and performing comprehensive analysis, the test parameters are dynamically adjusted so that the factors work together in the test. This truly restores the performance degradation process of the active actuator hydraulic pump under the combined effect of multiple factors in actual working conditions. Compared with traditional single-factor simulation, it significantly improves the accuracy and reliability of the test.

[0006] According to some embodiments of the present invention, the damage calculation of the active actuator force request signal data based on the equivalent damage principle and the Miner linear cumulative damage theory to obtain the total damage value includes: The active actuator force request signal data is divided into multiple load cycle intervals, using the formula... The damage value for each of the load cycle intervals is calculated, where For the first The damage value for each of the aforementioned load cycle intervals. This represents the actual number of cycles within the corresponding load cycle interval. This represents the fatigue life of the material under the corresponding load level. The damage values ​​of all the load cycle intervals are summed to obtain the total damage value. = .

[0007] According to some embodiments of the present invention, the step of deriving the force request signal block spectrum based on the total damage value and the statistical characteristics of the force request signal data through a preset data processing equivalent method includes: Based on the statistical characteristics of the total damage value and the force request signal data, the force request signal data is equivalent to a series of representative force request signal block spectra through a clustering algorithm.

[0008] According to some embodiments of the present invention, the step of combining the force request signal block spectrum and the preset load spectrum target mileage to calculate the test time using a fatigue life prediction model includes: Based on the force value sequence and cycle number in the force value request signal block spectrum, and combined with the fatigue performance parameters of the material, the time required to reach the fatigue damage corresponding to the preset load spectrum target mileage under the loading of the force value request signal block spectrum is calculated, and used as the test time.

[0009] According to some embodiments of the present invention, dividing the ambient temperature signal data into multiple temperature intervals according to a preset segmentation method and calculating the proportion of each temperature interval in the entire ambient temperature signal data includes: Plot the relationship curves between the active actuator temperature and the ambient temperature using time as the horizontal axis and the ambient temperature signal data and the active actuator temperature signal data as the vertical axes respectively. Observe the changing trend and correlation between the two through the curves. The ambient temperature signal data is divided into multiple temperature ranges by using equal-interval segmentation or clustering segmentation methods based on temperature distribution characteristics.

[0010] According to some embodiments of the present invention, the calculation of the test environment temperature based on the Arrhenius model, combined with the test time and the proportion of each of the temperature ranges, includes: By adjusting the temperature parameters, the aging reaction rate at the preset temperature is made equivalent to the cumulative aging effect under different temperature environments in actual use, thus obtaining the test environment temperature.

[0011] According to some embodiments of the present invention, the range of the first preset temperature range is set as follows: between; The durability testing method further includes: If the real-time active actuator temperature information is less than Increase the peak value of the force value in the force value request signal block spectrum or reduce the number of high load cycles; If the real-time active actuator temperature information is greater than This reduces the peak force value in the force request signal block spectrum or reduces the number of high load cycles.

[0012] According to some embodiments of the present invention, the collection of road spectrum data, active brake force request signal data, active brake temperature signal data, and ambient temperature signal data according to preset vehicle durability conditions includes: The vehicle is controlled to drive according to the preset vehicle durability conditions, which cover urban roads, highways, rural roads and bumpy road sections.

[0013] According to a second aspect of the present invention, a durability testing apparatus suitable for an active actuator hydraulic pump includes: The data acquisition unit is used to collect road spectrum data, active actuator force value request signal data, active actuator temperature signal data and ambient temperature signal data according to the preset vehicle durability conditions. The data processing unit is used to perform damage calculation on the active actuator force request signal data according to the equivalent damage principle and Miner's linear cumulative damage theory to obtain the total damage value; based on the total damage value and the statistical characteristics of the force request signal data, the force request signal block spectrum is obtained through a preset data processing equivalence method; combining the force request signal block spectrum and the preset load spectrum target mileage, the test time is calculated using a fatigue life prediction model; the ambient temperature signal data is divided into multiple temperature intervals according to a preset segmentation method, and the proportion of each temperature interval in the entire ambient temperature signal data is calculated; based on the Arrhenius model, combined with the test time and the proportion of each temperature interval, the test ambient temperature is calculated; if the real-time active actuator temperature information is not within the first preset temperature interval, the force request signal block spectrum is optimized and adjusted to the preset force request signal block spectrum, the preset test time is recalculated based on the preset force request signal block spectrum and the preset load spectrum target mileage, and the preset test ambient temperature is recalculated based on the Arrhenius model and the preset test time; The test execution unit is used to control the performance of a durability test on the active actuator hydraulic pump according to the force request signal block spectrum under the test environment temperature and the test time; and to control the performance of a durability test according to the preset force request signal block spectrum under the preset test environment temperature and the preset test time. The monitoring unit is used to monitor the performance index data and real-time temperature information of the active actuator hydraulic pump during the durability test.

[0014] According to a third aspect of the present invention, a computer program product includes a computer program that, when executed by a processor, implements the durability testing method.

[0015] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. Attached Figure Description

[0016] The present invention will be further described below with reference to the accompanying drawings and embodiments, wherein: Figure 1 This is a flowchart of a durability testing method according to some embodiments of the present invention; Figure 2 This is a durability testing bench according to some embodiments of the present invention; Figure 3 This is a durability testing apparatus according to some embodiments of the present invention. Detailed Implementation

[0017] Embodiments of the present invention are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0018] In the description of this invention, it should be understood that the orientation descriptions, such as up, down, etc., are based on the orientation or positional relationship shown in the drawings and are only for the convenience of describing this invention and simplifying the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this invention.

[0019] In the description of this invention, "multiple" refers to two or more. The use of "first" and "second" is for distinguishing technical features only and should not be construed as indicating or implying relative importance, or implicitly indicating the number of indicated technical features or their sequential relationship.

[0020] In the description of this invention, unless otherwise explicitly defined, terms such as "set up," "install," and "connect" should be interpreted broadly, and those skilled in the art can reasonably determine the specific meaning of the above terms in this invention in conjunction with the specific content of the technical solution.

[0021] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are some embodiments of the present invention, not all embodiments.

[0022] In actual use, the active actuator hydraulic pump is affected by a variety of factors, leading to a gradual decline in its performance and ultimately impacting the overall performance of the vehicle. Among these, fatigue, wear, and aging are the main factors affecting the durability of the active actuator hydraulic pump: fatigue occurs because the hydraulic pump is subjected to cyclic stress during long-term operation, causing micro-strains within the materials. Over time, these strains gradually expand, eventually leading to component failure. Wear occurs between the moving parts of the hydraulic pump due to friction and relative motion, resulting in the gradual wear of surface materials. Aging mainly refers to the performance degradation of internal seals, rubber components, and other materials during long-term use, affected by factors such as temperature, pressure, and chemical substances.

[0023] Currently, the common approach for durability testing of active actuator hydraulic pumps is to use fixed test conditions and environmental parameters. Typically, a constant force is set to drive the active actuator, simulating the working state of the hydraulic pump. The test environment temperature is controlled within a relatively stable range, such as at room temperature. The pump's durability is assessed by recording basic performance parameters such as pressure, flow rate, and temperature during the test. When these performance parameters show a significant decrease or exceed the specified range, the hydraulic pump is considered to have reached its lifespan limit. In addition, some tests consider force variations under different operating conditions, but this consideration is often not comprehensive or in-depth, simply setting a few different force levels for segmented testing.

[0024] The existing solutions have the following shortcomings: they have serious deficiencies in simulating actual working conditions, and the simulation of key influencing factors such as fatigue, wear, and aging is not accurate or comprehensive enough; in terms of data processing and test optimization, the existing solutions lack systematicness and scientific rigor in evaluating durability by recording basic performance parameters, and cannot deeply analyze the intrinsic relationship between factors such as force and temperature and the durability of hydraulic pumps; the existing vibration damper durability testing methods are inefficient and time-consuming, and cannot provide rapid and efficient verification for the development of active actuator products.

[0025] Therefore, this invention proposes a durability testing method suitable for active actuator hydraulic pumps. By scientifically collecting vehicle durability data and combining the equivalent damage principle and Arrhenius model, it specifically strengthens fatigue, wear, and accelerated aging, accurately calculates test conditions and ambient temperature, solves the shortcomings of traditional test methods, achieves efficient testing of hydraulic pump durability, and makes the test results more consistent with actual use scenarios. It also solves the problems of long verification cycles, high costs, and insufficient verification.

[0026] like Figure 1 The flowchart shown illustrates the durability testing method. The durability testing method of this embodiment includes, but is not limited to, the following steps: Step S100: Collect road spectrum data, active actuator force value request signal data, active actuator temperature signal data and ambient temperature signal data according to the preset vehicle durability conditions; Step S200: Based on the principle of equivalent damage, Miner's linear cumulative damage theory is used to calculate the damage of the active actuator force request signal data to obtain the total damage value. Step S300: Based on the statistical characteristics of the total damage value and the force request signal data, the force request signal block spectrum is obtained through a preset data processing equivalent method; Step S400: Combine the force value request signal block spectrum and the preset load spectrum target mileage, and calculate the test time using the fatigue life prediction model; Step S500: Divide the ambient temperature signal data into multiple temperature ranges according to the preset segmentation method, and calculate the proportion of each temperature range in the entire ambient temperature signal data; Step S600: Based on the Arrhenius model, and combined with the test time and the proportion of each temperature range, calculate the test environment temperature; Step S700: Under controlled test environment temperature and test time, perform a durability test on the active actuator hydraulic pump according to the force value request signal block spectrum; Step S800: Monitor the performance data of the active actuator hydraulic pump and the real-time temperature information of the active actuator during the durability test; Step S900: If the real-time active actuator temperature information is not within the first preset temperature range, the force request signal block spectrum is optimized and adjusted to the preset force request signal block spectrum, the preset test time is recalculated based on the preset force request signal block spectrum and the target mileage of the load spectrum, and the preset test environment temperature is recalculated based on the Arrhenius model and the preset test time. Step S100: Under the preset test environment temperature and preset test time, conduct a durability test according to the preset force value request signal block spectrum.

[0027] In some embodiments, step S100 further includes the following step: Step S101: Control the vehicle to drive according to the preset vehicle durability conditions, which cover urban roads, highways, rural roads and bumpy sections.

[0028] In actual operation, high-precision sensors are installed on the vehicle, including an inertial measurement unit (IMU) and wheel speed sensors for acquiring road spectrum data; a force sensor for acquiring active actuator force request signal data; a temperature sensor for monitoring active actuator temperature signal data; and an ambient temperature sensor for measuring ambient temperature signal data. Each sensor is fixed in its corresponding position according to standard installation specifications to ensure the accuracy and reliability of the acquired data. The vehicle travels under pre-planned durability conditions, covering various typical road conditions such as urban roads, highways, rural roads, and bumpy sections, simulating various operating conditions that the active actuator hydraulic pump might encounter in actual use. During driving, each sensor acquires road spectrum data, active actuator force request signal data, active actuator temperature signal data, and ambient temperature signal data in real time at a set frequency (e.g., 1000Hz), and transmits the data to the onboard data recording equipment for storage.

[0029] Steps S200 to S400 involve the analysis and processing of force request signals. Based on the equivalent damage principle, damage calculations are performed on the collected active actuator force request signal data. The force request signal block spectrum is then derived through data processing. Combining the force request signal block spectrum and the preset load spectrum target mileage, the test time is calculated using a relevant calculation model. This process drives the active actuator to move through force, enhancing the impact of fatigue and wear factors on the hydraulic pump and simulating the stress accumulation process under actual working conditions. The equivalent damage principle is based on the theory that if the accumulated damage is equal under different load histories, then the fatigue life of the material is equal.

[0030] First, the collected active actuator force request signal data is imported into the data analysis system for filtering to remove noise interference. At the same time, the data is time-synchronized to ensure consistency between the active actuator force request signal data and other collected data in the time dimension. Additionally, the rainflow counting method is used to perform cyclic counting of the time domain signal to count the number of load cycles and amplitude.

[0031] Then, step S200 is performed. In some embodiments, step S200 further includes the following steps: Step S201: Divide the active actuator force request signal data into multiple load cycle intervals, and use the formula... The damage value for each load cycle interval was calculated, where For the first Damage values ​​for each load cycle interval. This represents the actual number of cycles within the corresponding load cycle interval. This represents the fatigue life of the material under the corresponding load level. Step S202: Sum the damage values ​​of all load cycle intervals to obtain the total damage value. = .

[0032] In some embodiments, step S300 further includes the following steps: Step S301: Based on the statistical characteristics of the total damage value and the force request signal data, the force request signal data is equivalent to a series of representative force request signal block spectra through a clustering algorithm.

[0033] It is understandable that in some embodiments, damage is calculated based on the material's SN curve and Miner's linear cumulative damage theory, and the force value request signal block spectrum is obtained by weighted averaging.

[0034] Each block spectrum contains specific parameters such as force value change sequence and duration, which can simplify the experimental loading conditions while preserving the original signal damage characteristics.

[0035] In some embodiments, step S400 further includes the following steps: Step S401: Based on the force value sequence and cycle number in the force value request signal block spectrum, and combined with the fatigue performance parameters of the material, calculate the time required to reach the fatigue damage corresponding to the preset load spectrum target mileage under the force value request signal block spectrum loading, and use it as the test time.

[0036] The target mileage for the preset load spectrum can be set to 100,000 kilometers or 200,000 kilometers.

[0037] Steps S500 to S600 involve temperature signal analysis and processing. Based on the active actuator temperature signal data and ambient temperature signal data, a curve showing the relationship between the active actuator temperature and ambient temperature is plotted. The ambient temperature data is segmented to extract different temperature ranges and their proportions. Based on the Arrhenius model and the calculated test time, the test ambient temperature is calculated. This invention utilizes the Arrhenius model to accelerate the simulation of aging factors. Under a set test ambient temperature, the aging process of the hydraulic pump is accelerated, shortening the test cycle while ensuring the accuracy of the aging simulation.

[0038] In some embodiments, step S500 includes the following steps: Step S501: Plot the relationship curve between the active actuator temperature and the ambient temperature with time as the horizontal axis and the ambient temperature signal data and the active actuator temperature signal data as the vertical axis respectively. Observe the changing trend and correlation between the two through the curve. Step S502: Divide the ambient temperature signal data into multiple temperature ranges using equal-interval segmentation or clustering segmentation methods based on temperature distribution characteristics. For example, low temperature range: -20℃ to 0℃, normal temperature range: 0℃ to 30℃, and high temperature range: 30℃ to 50℃.

[0039] The frequency of data occurrences within each temperature range was counted, and the proportion of each temperature range in the entire dataset was calculated. According to the Arrhenius model Where k is the reaction rate and A is the pre-exponential factor. The activation energy is given by R, the gas constant is given by T, and the absolute temperature is given by T. The values ​​of T and T are combined with the experimental time and the proportion of each temperature range. Calculate the ambient temperature of the test environment.

[0040] In some embodiments, step S600 includes the following steps: Step S601: By adjusting the temperature parameters, the aging reaction rate at this temperature is made equivalent to the cumulative aging effect under different temperature environments in actual use, thus obtaining the test environment temperature.

[0041] The Arrhenius model describes the relationship between chemical reaction rate and temperature. In this invention, it is used to establish the relationship between ambient temperature and hydraulic pump aging rate. Combined with the calculated test time, the test ambient temperature is calculated.

[0042] In step S700, an environmental simulation device is needed to simulate the test environment temperature, and a durability test bench is needed to implement the force-driven active actuator.

[0043] like Figure 2 The durability test bench shown is for the hydraulic pump of the active actuator. The durability test bench consists of a top plate 1, a loading spring 2, an upper support rod 3, a preloading rod 4, a linear guide rail, a force driving device 5, a test specimen 6, a lower support rod 7, a connecting ball joint 8, and a base plate 9.

[0044] The top plate 1, located at the top of the device, supports and fixes components such as the loading spring 2, providing a stable support foundation for the entire loading system and ensuring that the loading force is evenly transmitted to the test specimen 6. The loading spring 2 is a key component providing the loading force. Through its elastic deformation, it generates a certain pressure and transmits it to the preloading rod 4 and the test specimen 6, simulating the load borne by the hydraulic pump in actual operation to test the durability of the test specimen 6 under different load conditions. The upper support rod 3 connects the top plate 1 and the preloading rod 4. Its main function is to stably transmit the force borne by the top plate 1 to the preloading rod 4, ensuring a clear and stable force transmission path. It also plays a supporting and positioning role in the structure, ensuring the accuracy and reliability of the loading system. The preloading rod 4 transmits the force of the loading spring 2 to the test specimen 6, applying a preloading force to the test specimen 6. By adjusting the position of the preloading rod 4 or its cooperation with the loading spring 2, the initial load applied to the test specimen 6 can be precisely controlled, simulating the load situation faced by the hydraulic pump when starting up under actual working conditions. The linear guide provides precise linear force for the force drive device 5. Motion guidance ensures the accurate direction of force application during loading, enabling the force drive device 5 to apply force to the test specimen 6 along a predetermined direction, thus improving the accuracy and repeatability of the test. The force drive device 5, guided by a linear guide rail, applies different forms and magnitudes of loading to the test specimen 6 according to test requirements, such as dynamic loading and periodic loading, to simulate various stress conditions experienced by the hydraulic pump in actual operation. The test specimen 6, i.e., the active actuator hydraulic pump, is the core test object of the entire test bench, bearing the load from the loading system during the test. Various forces and loads are monitored and analyzed under different working conditions to evaluate the durability and performance of the test bench. The lower support rod 7 corresponds to the upper support rod 3, connecting the base plate 9 and the test specimen 6. Its main function is to support the test specimen 6, ensuring its positional stability during the test. It also transfers the force borne by the test specimen 6 to the base plate 9, ensuring the structural stability of the entire test bench. The connecting ball joint 8 connects different components and is typically installed at the connections between the preload rod 4 and the test specimen 6, and between the test specimen 6 and the lower support rod 7. It allows for angular adjustments and minor displacements between components within a certain range, compensating for installation errors and deformations that may occur during loading. This allows for smoother force transmission and avoids additional stress concentration caused by rigid connections between components, which could affect the accuracy of the test results. The base plate 9, as the fundamental support structure of the entire test bench, bears the weight of all components and evenly transfers the forces generated during the test to the ground or foundation support. It needs sufficient strength and rigidity to ensure the stability and reliability of the entire test bench under high load and long-term operating conditions.

[0045] The hydraulic pump of the active actuator to be tested is installed on the durability test bench, and the force drive device 5 and the environmental simulation device are connected. The force drive device 5 of the durability test bench is configured to apply the corresponding force according to the force request signal block spectrum; the environmental simulation device is set to the calculated test environment temperature. The test is started, and the force drive device 5 cyclically loads according to the force request signal block spectrum, driving the active actuator to move, simulating the working state of the hydraulic pump under actual working conditions. During the test, the hydraulic pump's pressure, flow rate, vibration and other performance index data, as well as the active actuator temperature information, are collected in real time and stored in the test data recording system.

[0046] Steps S800 to S900 involve monitoring and optimizing the test process. Real-time temperature information of the active actuator is collected to determine if the active actuator hydraulic pump is operating within the required first preset temperature range. If it is not within the first preset temperature range, the force request signal block spectrum is optimized and adjusted. The preset test time is recalculated based on the optimized preset force request signal block spectrum and the target mileage of the load spectrum. The preset test environment temperature is then calculated and updated based on the Arrhenius model and the preset test time. Finally, under the preset test environment temperature, a durability test is conducted according to the optimized preset force request signal block spectrum until the entire durability test process is completed.

[0047] The range of the first preset temperature range is set as follows: Between, when the real-time active actuator temperature information is collected satisfy When the temperature is determined to be within the required temperature range, the test continues normally; when or If the temperature is determined to be outside the required temperature range, the operating condition optimization process is triggered. The force request signal block spectrum is optimized and adjusted to the preset force request signal block spectrum. The preset test time is recalculated based on the preset force request signal block spectrum and the target mileage of the load spectrum. The preset test environment temperature is recalculated based on the Arrhenius model and the preset test time.

[0048] The durability testing method further includes the following steps: If the real-time active actuator temperature information is less than Increase the peak value of the force value in the force value request signal block spectrum or reduce the number of high load cycles; If the real-time active actuator temperature information is greater than Reduce the peak force value in the force request signal block spectrum or reduce the number of high load cycles.

[0049] By adjusting the parameters of the force request signal block spectrum, the working load of the hydraulic pump is changed, thereby regulating its heat generation. Based on the optimized preset force request signal block spectrum, the test time and test environment temperature are recalculated according to the methods described in the force request signal analysis and processing stage and the temperature signal analysis and processing stage. The force drive device 5 and the environmental simulation device are set according to the new preset force request signal block spectrum, preset test time, and preset test environment temperature, and the durability test continues. The above temperature monitoring judgment, block spectrum optimization, and recalculation process is repeated until the entire durability test is completed, that is, the cumulative test time reaches the finally determined test time.

[0050] like Figure 2 As shown, the present invention also proposes a durability testing device suitable for active actuator hydraulic pumps, comprising: a data acquisition unit, a data processing unit, a test execution unit, and a monitoring unit.

[0051] The data acquisition unit is used to collect road spectrum data, active actuator force request signal data, active actuator temperature signal data and ambient temperature signal data according to the preset vehicle durability conditions; The data processing unit is used to perform damage calculation on the active actuator force request signal data according to the equivalent damage principle and Miner's linear cumulative damage theory to obtain the total damage value; based on the total damage value and the statistical characteristics of the force request signal data, the force request signal block spectrum is obtained through a preset data processing equivalence method; combining the force request signal block spectrum and the preset load spectrum target mileage, the test time is calculated using a fatigue life prediction model; the ambient temperature signal data is divided into multiple temperature intervals according to a preset segmentation method, and the proportion of each temperature interval in the entire ambient temperature signal data is calculated; based on the Arrhenius model, combined with the test time and the proportion of each temperature interval, the test ambient temperature is calculated; if the real-time active actuator temperature information is not within the first preset temperature interval, the force request signal block spectrum is optimized and adjusted to the preset force request signal block spectrum, the preset test time is recalculated based on the preset force request signal block spectrum and the load spectrum target mileage, and the preset test ambient temperature is recalculated based on the Arrhenius model and the preset test time; The test execution unit is used to control the performance of a durability test on the active actuator hydraulic pump according to the force request signal block spectrum under the test environment temperature and the test time; and to control the performance of a durability test according to the preset force request signal block spectrum under the preset test environment temperature and the preset test time. The monitoring unit is used to monitor the performance index data and real-time temperature information of the active actuator hydraulic pump during the durability test.

[0052] Specifically, the data acquisition unit includes a road spectrum data acquisition module, a force value request signal acquisition module, an active actuator temperature acquisition module, and a surrounding environment temperature acquisition module; the data processing unit includes a signal analysis module and a calculation module; the test execution unit includes a force value driving device and an environmental simulation device; and the monitoring unit includes a temperature monitoring module and a performance index monitoring module.

[0053] The data acquisition unit is responsible for collecting various types of data and transmitting them to the data processing unit. The signal analysis module of the data processing unit processes the acquired data, and the calculation module calculates the test time and ambient temperature based on the processing results. The calculation results are transmitted to the test execution unit, where the force drive device drives the active actuator according to the equivalent or optimized block spectrum, and the environmental simulation device creates the test environment at the calculated ambient temperature. The monitoring unit collects temperature and hydraulic pump performance information in real time and feeds it back to the data processing unit so that the data processing unit can adjust and optimize the test according to the actual situation.

[0054] The test execution unit is used to perform a durability test on the hydraulic pump of the active actuator by driving the active actuator to move according to the equivalent block spectrum or the optimized block spectrum under the test environment temperature calculated by the data processing unit.

[0055] This invention employs multi-physics coupling technology, namely force-temperature co-loading, and uses data-driven dynamic parameter adjustment to construct a durability simulation system that integrates the synergistic effects of fatigue, wear, and aging. In fatigue and wear simulation, relying on multi-source data such as road spectrum and active actuator force request signal data collected from vehicle durability conditions, and applying the equivalent damage principle, the complex and variable force signals are equivalent to a representative block spectrum. The force drives the active actuator movement, precisely enhancing the fatigue and wear processes. For aging simulation, combining active actuator temperature signal data and ambient temperature signal data, the Arrhenius model is used to accelerate the simulation of the aging process. More importantly, the system fully considers the coupling relationship between multiple factors. For example, the temperature change caused by force will accelerate the aging process, and the material properties caused by aging will affect fatigue and wear characteristics. By collecting multi-source data in real time and performing comprehensive analysis, the test parameters are dynamically adjusted so that the factors work together in the test. This truly restores the performance degradation process of the active actuator hydraulic pump under the combined effect of multiple factors in actual working conditions. Compared with traditional single-factor simulation, it significantly improves the accuracy and reliability of the test.

[0056] This invention establishes a complete intelligent closed-loop testing system encompassing data acquisition, deep analysis, intelligent decision-making, and dynamic optimization. In the data acquisition phase, multiple sensors are integrated to collect heterogeneous data from various sources, including road spectrum data, force request signals, and temperature signals. During the analysis phase, theories such as the equivalent damage principle and the Arrhenius model are employed, along with deep learning and machine learning algorithms, to deeply mine and process the data, calculating key parameters such as test time and ambient temperature. During test execution, the monitoring unit collects information such as the temperature of the active actuator in real time. When the temperature deviates from the required range, the decision-making module, based on reinforcement learning algorithms, automatically optimizes the force request signal spectrum and recalculates the test time and ambient temperature, feeding this information back to the test execution unit to adjust the test conditions. The entire system is driven by data, with each component working closely together and automatically iterating and optimizing to achieve adaptive control of the test process, effectively improving test efficiency and accurately assessing the durability of the hydraulic pump, distinguishing it from traditional fixed-condition testing modes.

[0057] These technologies work together and complement each other, comprehensively acquiring information about hydraulic pumps in durability tests from different dimensions. This provides rich data support for multi-factor collaborative simulation, and provides a reliable basis for decision optimization of intelligent closed-loop systems, forming a complete and unique test monitoring and analysis system. This represents a major innovative breakthrough in traditional test technologies.

[0058] The present invention also proposes a computer program product, including a computer program that, when executed by a processor, implements the aforementioned durability testing method.

[0059] It is worth noting that, since the computer program product of the present invention can execute the control method of any of the above embodiments, the specific implementation method and technical effect of the computer program product of the present invention can be referred to the specific implementation method and technical effect of the control method of any of the above embodiments.

[0060] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0061] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the above embodiments. Within the scope of knowledge possessed by those skilled in the art, various changes can be made without departing from the spirit of the present invention.

Claims

1. A durability testing method for active actuator hydraulic pumps, characterized in that, include: Collect road spectrum data, active actuator force request signal data, active actuator temperature signal data and ambient temperature signal data according to the preset vehicle durability conditions; Based on the principle of equivalent damage, Miner's linear cumulative damage theory is used to calculate the damage of the active actuator force request signal data to obtain the total damage value. Based on the statistical characteristics of the total damage value and the force request signal data, the force request signal block spectrum is obtained through a preset data processing equivalent method. The test time is calculated using a fatigue life prediction model by combining the force request signal block spectrum and the preset load spectrum target mileage. The ambient temperature signal data is divided into multiple temperature intervals according to a preset segmentation method, and the proportion of each temperature interval in the entire ambient temperature signal data is calculated. Based on the Arrhenius model, and combined with the test time and the proportion of each of the temperature ranges, the test environment temperature is calculated. Under the controlled test environment temperature and test time, a durability test is conducted on the active actuator hydraulic pump according to the force value request signal block spectrum; Monitor the performance data of the active actuator hydraulic pump and the real-time temperature information of the active actuator during the durability test; If the real-time active actuator temperature information is not within the first preset temperature range, the force request signal block spectrum is optimized and adjusted to the preset force request signal block spectrum, the preset test time is recalculated based on the preset force request signal block spectrum and the preset load spectrum target mileage, and the preset test environment temperature is recalculated based on the Arrhenius model and the preset test time. Under the preset test environment temperature and the preset test time, a durability test is conducted according to the preset force value request signal block spectrum.

2. The durability testing method according to claim 1, characterized in that, Based on the principle of equivalent damage, Miner's linear cumulative damage theory is used to calculate the damage of the active actuator force request signal data to obtain the total damage value, which includes: The active actuator force request signal data is divided into multiple load cycle intervals, using the formula... The damage value for each of the load cycle intervals is calculated, where For the first The damage value for each of the aforementioned load cycle intervals. This represents the actual number of cycles within the corresponding load cycle interval. This represents the fatigue life of the material under the corresponding load level. The damage values ​​of all the load cycle intervals are summed to obtain the total damage value. = .

3. The durability testing method according to claim 2, characterized in that, The process of deriving the force request signal block spectrum based on the statistical characteristics of the total damage value and the force request signal data using a preset data processing equivalent method includes: Based on the statistical characteristics of the total damage value and the force request signal data, the force request signal data is equivalent to a series of representative force request signal block spectra through a clustering algorithm.

4. The durability testing method according to claim 3, characterized in that, The calculation of the test time using the fatigue life prediction model, combining the force request signal block spectrum and the preset load spectrum target mileage, includes: Based on the force value sequence and cycle number in the force value request signal block spectrum, and combined with the fatigue performance parameters of the material, the time required to reach the fatigue damage corresponding to the preset load spectrum target mileage under the loading of the force value request signal block spectrum is calculated, and used as the test time.

5. The durability testing method according to claim 1, characterized in that, The step of dividing the ambient temperature signal data into multiple temperature intervals according to a preset segmentation method and calculating the proportion of each temperature interval in the entire ambient temperature signal data includes: Plot the relationship curves between the active actuator temperature and the ambient temperature using time as the horizontal axis and the ambient temperature signal data and the active actuator temperature signal data as the vertical axes respectively. Observe the changing trend and correlation between the two through the curves. The ambient temperature signal data is divided into multiple temperature ranges by using equal-interval segmentation or clustering segmentation methods based on temperature distribution characteristics.

6. The durability testing method according to claim 5, characterized in that, The experimental ambient temperature is calculated based on the Arrhenius model, combined with the experimental time and the proportion of each of the temperature ranges, including: By adjusting the temperature parameters, the aging reaction rate at the preset temperature is made equivalent to the cumulative aging effect under different temperature environments in actual use, thus obtaining the test environment temperature.

7. The durability testing method according to claim 1, characterized in that, The range of the first preset temperature range is set as follows: between; The durability testing method further includes: If the real-time active actuator temperature information is less than Increase the peak value of the force value in the force value request signal block spectrum or reduce the number of high load cycles; If the real-time active actuator temperature information is greater than This reduces the peak force value in the force request signal block spectrum or reduces the number of high load cycles.

8. The durability testing method according to claim 1, characterized in that, The process of collecting road spectrum data, active brake force request signal data, active brake temperature signal data, and ambient temperature signal data according to preset vehicle durability conditions includes: The vehicle is controlled to drive according to the preset vehicle durability conditions, which cover urban roads, highways, rural roads and bumpy road sections.

9. A durability testing apparatus suitable for active actuator hydraulic pumps, characterized in that, include: The data acquisition unit is used to collect road spectrum data, active actuator force value request signal data, active actuator temperature signal data and ambient temperature signal data according to the preset vehicle durability conditions. The data processing unit is used to perform damage calculation on the active actuator force value request signal data according to the equivalent damage principle and Miner's linear cumulative damage theory to obtain the total damage value. Based on the total damage value and the statistical characteristics of the force request signal data, the force request signal block spectrum is obtained through a preset data processing equivalent method; combined with the force request signal block spectrum and the preset load spectrum target mileage, the test time is calculated using a fatigue life prediction model. The ambient temperature signal data is divided into multiple temperature intervals according to a preset segmentation method, and the proportion of each temperature interval in the entire ambient temperature signal data is calculated; based on the Arrhenius model, combined with the test time and the proportion of each temperature interval, the test ambient temperature is calculated. If the real-time active actuator temperature information is not within the first preset temperature range, the force request signal block spectrum is optimized and adjusted to the preset force request signal block spectrum, the preset test time is recalculated based on the preset force request signal block spectrum and the preset load spectrum target mileage, and the preset test environment temperature is recalculated based on the Arrhenius model and the preset test time. The test execution unit is used to control the performance of a durability test on the active actuator hydraulic pump according to the force request signal block spectrum under the test environment temperature and the test time; and to control the performance of a durability test according to the preset force request signal block spectrum under the preset test environment temperature and the preset test time. The monitoring unit is used to monitor the performance index data and real-time temperature information of the active actuator hydraulic pump during the durability test.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the durability testing method according to any one of claims 1 to 8.

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