Electric vehicle door limiter detection method, device and equipment and storage medium

By collecting the thrust and current curve data of the electric door limiter, processing and comparing the torque constant, the problem of electrified control detection of the electric door limiter, which is not applicable to traditional detection methods, is solved, and the quality judgment of the limiter is achieved.

CN120628636APending Publication Date: 2025-09-12NINGBO NANTU AUTOMOBILE TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202510958585.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-11
Publication Date
2025-09-12

AI Technical Summary

Technical Problem

Traditional automobile door stopper detection methods are not suitable for electric vehicle door stoppers, especially the lack of electrical control detection methods for electric vehicle door stoppers.

Method used

By controlling the electric door limiter to perform load movement according to the limiter detection voltage, the thrust curve data and the current curve data are collected, and the data are processed to obtain the first thrust current curve. The torque constant is compared with the speed constant threshold to determine the limiter fault result.

Benefits of technology

The electric control field detection of the electric vehicle door limiter is realized, the quality of the limiter can be determined, and the problem of lack of detection methods for the electric control field of the electric vehicle door limit assembly is solved.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an electric vehicle door limiter detection method, device and equipment and a storage medium, and relates to the technical field of electric vehicle door limiters.The method comprises the steps that according to limiter detection voltage, an electric vehicle door limiter is controlled to conduct load motion, data collection is conducted, and thrust curve data and current curve data are obtained; performing data processing on the thrust curve data and the current curve data to obtain a first thrust current curve; a torque constant corresponding to the first thrust current curve is compared with a rotating speed constant threshold value, and a torque constant comparison result is obtained; and when the torque constant corresponding to the thrust current curve data is greater than the rotating speed constant threshold, determining that the limiter detection result is a limiter fault result. Rated working voltage is loaded to the electric vehicle door limiting stopper, a limiting stopper ejector rod pushes a load to move, electric thrust and current under the whole stroke of the limiting stopper are collected, then the quality of the limiting stopper is judged, and the problem that detection methods in the field of electric vehicle door limiting assembly electrification control are lacked is solved.
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Description

Technical Field

[0001] The present application relates to the technical field of electric vehicle door stoppers, and in particular to a detection method, device, equipment and storage medium for electric vehicle door stoppers. Background Art

[0002] The traditional automobile door limiter assembly detection solution only measures the mechanical force of the limiter when opening and closing the door. Electric vehicle door limiters have additional components such as motors, gears, and PCB control boards. Therefore, the traditional automobile door limiter measurement method is not suitable for the detection of electric vehicle door limiters. In addition, the industry lacks a detection method in the field of electrified control of electric vehicle door limiters. Summary of the Invention

[0003] The main purpose of this application is to provide an electric vehicle door limiter detection method, device, equipment and storage medium, aiming to solve the technical problem of the lack of detection methods in the field of electrified control of electric vehicle door limit assemblies.

[0004] To achieve the above objectives, the present application proposes a method for detecting a door stopper of an electric vehicle, the method comprising:

[0005] According to the limiter detection voltage, the electric door limiter is controlled to perform load movement and data is collected to obtain thrust curve data and current curve data;

[0006] performing data processing on the thrust curve data and the current curve data to obtain a first thrust current curve;

[0007] Comparing the torque constant corresponding to the first thrust current curve with a speed constant threshold to obtain a torque constant comparison result;

[0008] When the torque constant corresponding to the thrust current curve data is greater than the speed constant threshold, it is determined that the limiter detection result is a limiter failure result.

[0009] In one embodiment, the step of processing the thrust curve data and the current curve data to obtain a first thrust current curve includes:

[0010] removing the head and tail data corresponding to a preset time length of the thrust curve data to obtain processed thrust curve data;

[0011] removing the head and tail data corresponding to the preset time length of the current curve data to obtain processed current curve data;

[0012] A first thrust-current curve is obtained according to the processed thrust curve data and the processed current curve data.

[0013] In one embodiment, after the step of controlling the electric door stopper to perform load movement according to the stopper detection voltage and collecting data to obtain thrust curve data and current curve data, the step further includes:

[0014] performing data processing on the thrust curve data and the current curve data to obtain a second thrust current curve;

[0015] When a thrust mutation is detected, the current delay time corresponding to the second thrust current curve is compared with a delay time threshold to obtain a delay time comparison result;

[0016] When the delay time comparison result is that the current delay time corresponding to the second thrust current curve is greater than the delay time threshold, it is determined that the limiter detection result is a limiter stuck result.

[0017] In one embodiment, after the step of controlling the electric door stopper to perform load movement according to the stopper detection voltage and collecting data to obtain thrust curve data and current curve data, the step further includes:

[0018] Processing the current curve data to obtain a working current curve;

[0019] Determine peak current data, valley current data, current fluctuation times and limiter operating power according to the working current curve;

[0020] A limiter detection is performed based on at least one of the peak current data, the valley current data, the number of current fluctuations, and the limiter operating power to determine a limiter detection result.

[0021] In one embodiment, the step of performing limiter detection based on at least one of the peak current data, the valley current data, the number of current fluctuations, and the limiter operating power, and determining a limiter detection result includes:

[0022] When the peak current data is greater than the peak current threshold, determining that the limiter detection result is a limiter overload result;

[0023] When the valley current data is less than the valley current threshold, determining that the limiter detection result is a limiter load result;

[0024] When the current fluctuation number is greater than the fluctuation number threshold, determining that the limiter detection result is a mechanical failure result;

[0025] When the operating power of the limiter is less than the rated power, the limiter detection result is determined to be a power abnormality result.

[0026] In one embodiment, after the step of controlling the electric door stopper to perform load movement according to the stopper detection voltage and collecting data to obtain thrust curve data and current curve data, the step further includes:

[0027] Processing the current curve data to obtain a starting current curve;

[0028] Determine the starting peak current and current recovery time according to the starting current curve;

[0029] A limiter detection is performed according to at least one of the startup peak current and the current recovery time, and a limiter detection result is determined.

[0030] In one embodiment, the step of performing limiter detection based on at least one of the startup peak current and the current recovery time and determining the limiter detection result includes:

[0031] When the starting peak current is greater than the starting current threshold, determining that the limiter detection result is a circuit abnormality result;

[0032] When the current recovery time is less than the recovery time threshold, it is determined that the limiter detection result is a normal limiter result.

[0033] In addition, to achieve the above-mentioned purpose, the present application also proposes an electric vehicle door stopper detection device, the electric vehicle door stopper detection device comprising:

[0034] An acquisition module is used to control the electric door stopper to perform load movement according to the stopper detection voltage and to collect data to obtain thrust curve data and current curve data;

[0035] a processing module, configured to process the thrust curve data and the current curve data to obtain a first thrust current curve;

[0036] a comparison module, configured to compare the torque constant corresponding to the first thrust current curve with a speed constant threshold to obtain a torque constant comparison result;

[0037] The detection module is configured to determine that a limiter detection result is a limiter failure result when a torque constant corresponding to the thrust current curve data is greater than a speed constant threshold.

[0038] In addition, to achieve the above-mentioned purpose, the present application also proposes an electric vehicle door limiter detection device, which includes: a memory, a processor, and a computer program stored on the memory and runnable on the processor, and the computer program is configured to implement the steps of the electric vehicle door limiter detection method as described above.

[0039] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium. A computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the electric vehicle door limiter detection method as described above are implemented.

[0040] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the steps of the electric vehicle door limiter detection method as described above are implemented.

[0041] This application controls the electric door limiter to move with load according to the limiter detection voltage and collects data to obtain thrust curve data and current curve data; processes the thrust curve data and current curve data to obtain a first thrust current curve; compares the torque constant corresponding to the first thrust current curve with the speed constant threshold to obtain a torque constant comparison result; and determines that the limiter detection result is a limiter failure result when the torque constant corresponding to the thrust current curve data is greater than the speed constant threshold. By loading the electric door limiter with the rated working voltage, the limiter push rod pushes the load to move, and collects the electric thrust and current under the full stroke of the limiter, the quality of the limiter is determined to solve the problem of the lack of detection methods in the field of electrified control of electric door limit assemblies. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0043] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0044] Figure 1 A flow chart of the first embodiment of the electric vehicle door stopper detection method provided in this application;

[0045] Figure 2 A schematic diagram of a stopper detection station structure provided in Example 1 of the electric vehicle door stopper detection method of this application;

[0046] Figure 3 A flow chart of the second embodiment of the electric vehicle door stopper detection method provided in this application;

[0047] Figure 4 This is a schematic diagram of the module structure of the electric vehicle door limiter detection device according to an embodiment of the present application;

[0048] Figure 5 Schematic diagram of the equipment structure of the hardware operating environment involved in the electric vehicle door limiter detection method in the embodiment of the present application.

[0049] The purpose, features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0050] It should be understood that the specific embodiments described herein are merely used to explain the technical solutions of the present application and are not intended to limit the present application.

[0051] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0052] The main solution of the embodiment of the present application is: controlling the electric door limiter to perform load movement according to the limiter detection voltage and performing data collection to obtain thrust curve data and current curve data; performing data processing on the thrust curve data and the current curve data to obtain a first thrust current curve; comparing the torque constant corresponding to the first thrust current curve with the speed constant threshold to obtain a torque constant comparison result; when the torque constant corresponding to the thrust current curve data is greater than the speed constant threshold, determining that the limiter detection result is a limiter failure result.

[0053] The traditional automobile door limiter assembly detection solution only measures the mechanical force of the limiter when opening and closing the door. Electric vehicle door limiters have additional components such as motors, gears, and PCB control boards. Therefore, the traditional automobile door limiter measurement method is not suitable for the detection of electric vehicle door limiters. In addition, the industry lacks a detection method in the field of electrified control of electric vehicle door limiters.

[0054] This application controls the electric door limiter to move with load according to the limiter detection voltage and collects data to obtain thrust curve data and current curve data; processes the thrust curve data and current curve data to obtain a first thrust current curve; compares the torque constant corresponding to the first thrust current curve with the speed constant threshold to obtain a torque constant comparison result; and determines that the limiter detection result is a limiter failure result when the torque constant corresponding to the thrust current curve data is greater than the speed constant threshold. By loading the electric door limiter with the rated working voltage, the limiter push rod pushes the load to move, and collects the electric thrust and current under the full stroke of the limiter, the quality of the limiter is determined to solve the problem of the lack of detection methods in the field of electrified control of electric door limit assemblies.

[0055] It should be noted that the execution subject of this embodiment may be a computing service device with data processing, network communication, and program execution capabilities, such as a tablet computer, personal computer, or mobile phone, or an electric vehicle door check detection device capable of performing the aforementioned functions. This embodiment and the following embodiments will be described below using an electric vehicle door check detection device as an example.

[0056] Based on this, the embodiment of the present application provides a method for detecting an electric vehicle door stopper, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the electric vehicle door limiter detection method of the present application.

[0057] In this embodiment, the electric vehicle door stopper detection method includes steps S10 to S40:

[0058] Step S10, controlling the electric door stopper to perform load movement according to the stopper detection voltage and performing data acquisition to obtain thrust curve data and current curve data;

[0059] It should be noted that the schematic diagram of the limiter detection station is as follows Figure 2 As shown, the detection principle in this embodiment is to load the electric door limiter with the rated working voltage, apply a fixed load to the limiter push rod, push the load to move the limiter push rod, measure the electric thrust and current under the full stroke of the limiter, and determine whether the limiter is qualified based on the collected electric thrust curve and current curve data.

[0060] It can be understood that the limiter detection voltage refers to the rated working voltage applied to detect the limiter, the thrust curve data refers to the curve of the thrust value output by the limiter rod measured over time or displacement in the process of the limiter rod pushing the fixed load to complete the full stroke movement, and the current curve data refers to the curve of the current consumed by the motor during operation over time or displacement during the operation of the limiter.

[0061] In the specific implementation, in order to detect the electric door limiter, the rated working voltage is loaded on the electric door limiter and a fixed load is applied to make the limiter push the load to move. Then, the current data and thrust data of the limiter during operation are collected in real time. The collected data are summarized to obtain the thrust curve data and current curve data.

[0062] In a feasible implementation manner, step S10 may further include steps A11 to A13:

[0063] Step A11, processing the thrust curve data and the current curve data to obtain a second thrust current curve;

[0064] It can be understood that the second thrust-current curve refers to the thrust-current curve obtained by collecting the first and last 2S data of the electric thrust curve and removing the first and last 2S data of the current curve.

[0065] In the specific implementation, this embodiment determines whether there is a risk of mechanical jamming or circuit board abnormality in the limiter, and then collects the 2S data at the beginning and end of the electric thrust curve and removes the 2S data at the beginning and end of the current curve, and processes it according to F (thrust) / I (current) to obtain the thrust-current curve, that is, the second thrust current curve.

[0066] Step A12: When a thrust mutation is detected, comparing the current delay time corresponding to the second thrust current curve with a delay time threshold to obtain a delay time comparison result;

[0067] It can be understood that the current delay time refers to the delay time of the current response, the delay time threshold refers to the critical value of the delay time used to determine whether a fault exists, and the delay time comparison result refers to the comparison result between the current delay time and the delay time threshold.

[0068] In a specific implementation, when a thrust mutation is detected, the corresponding current response delay time is determined by the second thrust current curve, and then the delay time of the current response is compared with the delay time threshold value used to determine whether a fault exists, thereby obtaining a comparison result between the current delay time and the delay time threshold.

[0069] Step A13: When the delay time comparison result is that the current delay time corresponding to the second thrust current curve is greater than the delay time threshold, determine that the limiter detection result is a limiter stuck result.

[0070] It is understandable that the limiter jam result refers to the detection result of mechanical jam or circuit board abnormality.

[0071] In a specific implementation, when the delay time comparison result shows that the current delay time corresponding to the second thrust current curve is greater than the delay time threshold, it indicates that there is mechanical jamming of the limiter or circuit board abnormality. Otherwise, it indicates that the limiter has passed the test.

[0072] It should be noted that this embodiment collects 2S data at the beginning and end of the electric thrust curve, and removes the 2S data at the beginning and end of the current curve, processes them according to F / I, obtains the thrust-current curve, and makes the following judgment: when calculating the force mutation, there is a delay time △t in the current response. If △t> the set value, there is a risk of mechanical jamming of the limiter (such as excessive bearing accuracy resulting in obstruction of force transmission) or circuit board abnormality.

[0073] Step S20, processing the thrust curve data and the current curve data to obtain a first thrust current curve;

[0074] It can be understood that the first thrust-current curve refers to the thrust-current curve obtained by removing the first and last 2S data of the electric thrust curve and the first and last 2S data of the current curve.

[0075] In specific implementation, this embodiment determines whether there is a risk of magnetic circuit saturation or poor gearbox engagement in the limiter, and then removes the 2S data at the beginning and end of the electric thrust curve, as well as the 2S data at the beginning and end of the current curve, and processes them according to F / I to obtain the thrust-current curve, that is, the first thrust current curve.

[0076] In a feasible implementation, step S20 may include steps B11 to B13:

[0077] Step B11, removing the head and tail data corresponding to the preset time length of the thrust curve data to obtain processed thrust curve data;

[0078] It should be noted that this embodiment is to determine whether there is a risk of magnetic circuit saturation or poor gearbox engagement in the limiter, and then remove the 2S data at the head and tail of the collected limiter thrust curve to improve the accuracy of the judgment, that is, to obtain the processed thrust curve data. Among them, this embodiment uses the preset time length of 2S as an example, and does not limit it.

[0079] Step B12, removing the head and tail data corresponding to the preset time length of the current curve data to obtain processed current curve data;

[0080] In specific implementation, this embodiment determines whether there is a risk of magnetic circuit saturation or poor gearbox engagement in the limiter, and then removes the 2S data at the head and tail of the collected limiter current curve to improve the accuracy of the judgment, that is, to obtain the processed current curve data. Among them, this embodiment uses the preset time length of 2S as an example, and does not limit it.

[0081] Step B13: Obtain a first thrust-current curve according to the processed thrust curve data and the processed current curve data.

[0082] In a specific implementation, this embodiment processes the processed thrust curve data and the processed current curve data according to F / I, thereby obtaining a thrust-current curve, namely, a first thrust-current curve.

[0083] Step S30, comparing the torque constant corresponding to the first thrust current curve with a speed constant threshold to obtain a torque constant comparison result;

[0084] It can be understood that the torque constant refers to the torque that the motor can generate under unit current, the speed constant threshold refers to the critical value of the torque constant used to determine whether the limiter is faulty, and the torque constant comparison result refers to the comparison result of the torque constant and the speed constant threshold.

[0085] In practice, this embodiment calculates the torque constant using the first thrust current curve to obtain the torque constant: K = F / I. The torque constant is then compared with a torque constant threshold used to determine whether the limiter is faulty, yielding a comparison result between the torque constant and the speed constant threshold.

[0086] Step S40 : When the torque constant corresponding to the thrust current curve data is greater than the speed constant threshold, determining that the limiter detection result is a limiter failure result.

[0087] In a specific implementation, when the torque constant corresponding to the thrust current curve data is greater than the speed constant threshold, it indicates that there is a risk of magnetic circuit saturation or poor gearbox engagement in the limiter, that is, the limiter detection result is determined to be a limiter failure result. Otherwise, the limiter detection result is determined to be a qualified result.

[0088] It should be noted that this embodiment removes the 2S data at the beginning and end of the electric thrust curve, and removes the 2S data at the beginning and end of the current curve, processes them according to F / I, obtains the thrust-current curve, and makes the following judgment: the torque constant of the limiter is calculated through the torque constant K=F / I. If the torque constant is greater than the design value (speed constant threshold), it is determined that the limiter has the risk of magnetic circuit saturation or poor gearbox engagement.

[0089] This embodiment controls the electric door stopper to move under load based on the stopper detection voltage and collects data to obtain thrust curve data and current curve data; processes the thrust curve data and current curve data to obtain a first thrust current curve; compares the torque constant corresponding to the first thrust current curve with a speed constant threshold to obtain a torque constant comparison result; and determines that the stopper detection result is a stopper failure result when the torque constant corresponding to the thrust current curve data is greater than the speed constant threshold. By applying the rated working voltage to the electric door stopper, the stopper push rod pushes the load to move, and collects the electric thrust and current under the full stroke of the stopper, the quality of the stopper is then determined, thereby solving the problem of the lack of detection methods in the field of electrified control of electric door stopper assemblies.

[0090] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above embodiment 1 can be referred to the above introduction and will not be described in detail later. Figure 3 After step S10, the electric vehicle door limiter detection method further includes steps S11 to S13:

[0091] Step S11, processing the current curve data to obtain a working current curve;

[0092] It can be understood that the working current curve refers to the steady-state current curve of the limiter when it is working normally.

[0093] In specific implementation, this embodiment determines whether there is a fault in the limiter by removing the 2S data at the beginning and end of the current curve to obtain a processed current curve, and uses the processed current curve as the steady-state current curve for normal operation of the product, that is, the working current curve.

[0094] Step S12, determining peak current data, valley current data, current fluctuation times, and limiter operating power according to the operating current curve;

[0095] It can be understood that the peak current data refers to the maximum instantaneous current value reached when the motor is running, the valley current data refers to the minimum stable current value reached when the motor is running, the number of current fluctuations refers to the number of times the current curve shows periodic fluctuations, and the limiter working power refers to the actual working power of the limiter.

[0096] Step S13 , performing a limiter detection according to at least one of the peak current data, the valley current data, the current fluctuation times, and the limiter operating power, and determining a limiter detection result.

[0097] In a specific implementation, the limiter detection result is obtained by performing limiter detection on at least one of the maximum instantaneous current value reached when the motor is running, the minimum stable current value reached when the motor is running, the number of times the current curve shows periodic fluctuations, and the actual working power of the limiter.

[0098] In a feasible implementation, step S13 may include steps C11 to C14:

[0099] Step C11, when the peak current data is greater than the peak current threshold, determining that the limiter detection result is a limiter overload result;

[0100] It is understandable that the peak current threshold refers to the critical value of the peak current used to determine whether the limiter has a fault, and the limiter overload result refers to the detection result of whether the limiter has an overload risk.

[0101] In a specific implementation, the maximum instantaneous current value reached during motor operation is compared with a peak current threshold used to determine whether the limiter is faulty. If the maximum instantaneous current value reached during motor operation is greater than the peak current threshold used to determine whether the limiter is faulty, it indicates that there is a risk of load disconnection or circuit breaking of the limiter. Otherwise, it indicates that the limiter has passed the test.

[0102] Step C12: when the valley current data is less than the valley current threshold, determining that the limiter detection result is a limiter load result;

[0103] It is understandable that the valley current threshold refers to the critical valley current value used to determine whether the limiter has a fault, and the limiter load result refers to the detection result of whether the limiter has a risk of load disconnection or circuit breaking.

[0104] In a specific implementation, the minimum stable current value reached during motor operation is compared with the valley current threshold used to determine whether the limiter is faulty. If the minimum stable current value reached during motor operation is less than the valley current threshold used to determine whether the limiter is faulty, it indicates that there is a risk of load disconnection or circuit breaking of the limiter. Otherwise, it indicates that the limiter has passed the test.

[0105] Step C13, when the current fluctuation number is greater than the fluctuation number threshold, determining that the limiter detection result is a mechanical failure result;

[0106] It can be understood that the fluctuation number threshold refers to the critical value of the fluctuation number used to determine whether there is a fault in the limiter, and the mechanical failure result refers to the detection result of whether there is a mechanical failure in the limiter.

[0107] In a specific implementation, the number of periodic fluctuations in the current curve is compared with a threshold value for determining whether the limiter is faulty. If the number of periodic fluctuations in the current curve is greater than the threshold value, it indicates that the limiter has a mechanical fault. Otherwise, it indicates that the limiter has passed the test.

[0108] Step C14: When the operating power of the limiter is less than the rated power, determining that the limiter detection result is a power abnormality result.

[0109] It can be understood that the abnormal power result refers to the detection result that the actual working power of the limiter does not meet the rated power requirement.

[0110] In a specific implementation, the actual working power of the limiter is compared with the rated power of the limiter. If the actual working power of the limiter is less than the rated power of the limiter, it indicates that the actual working power of the limiter does not meet the rated power requirement. Otherwise, it indicates that the limiter has passed the test.

[0111] It should be noted that this embodiment removes the 2S data at the beginning and end of the current curve as the steady-state current curve for normal operation of the product, and makes the following judgments: ① Collect the peak current and valley current of the steady-state current curve. If the peak current is greater than the upper limit of the steady-state current safety, it is determined that the limiter is at risk of overload. If the valley current is less than the lower limit of the steady-state current safety, it is determined that the limiter is at risk of load disconnection or circuit short circuit. ② If the current curve shows periodic fluctuations (repeatability ≥ 3 times), it is determined that the limiter has a mechanical fault, such as a stuck mechanical component. ③ Calculate the actual power curve of the limiter through P=U*I, and compare it with the rated power to determine whether the rated power consumption meets the requirements.

[0112] In a feasible implementation manner, step S10 may further include steps D11 to D13:

[0113] Step D11, processing the current curve data to obtain a starting current curve;

[0114] It can be understood that the starting current curve refers to the current curve when the limiter is started.

[0115] In a specific implementation, this embodiment determines whether the limiter has a fault, and then intercepts the data of the limiter current curve 1s before as the limiter starting current curve, that is, the starting current curve.

[0116] Step D12, determining the starting peak current and the current recovery time according to the starting current curve;

[0117] It can be understood that the starting peak current refers to the maximum current peak at the moment the limiter is started, and the current recovery time refers to the time required for the current to return to a steady state after the maximum current peak at the moment of starting is collected.

[0118] Step D13: Perform limiter detection according to at least one of the starting peak current and the current recovery time, and determine a limiter detection result.

[0119] In a specific implementation, this embodiment performs limiter detection based on at least one of the maximum current peak value at the moment of limiter startup and the time required for the current to return to a steady state after the maximum current peak value at the moment of startup is collected to determine the limiter detection result.

[0120] In a feasible implementation, step D13 may include steps E11 to E12:

[0121] Step E11, when the starting peak current is greater than the starting current threshold, determining that the limiter detection result is a circuit abnormality result;

[0122] It is understandable that the starting current threshold refers to the maximum current critical value at the starting moment used to determine whether the limiter is faulty, and the circuit abnormality result refers to the detection result of the limiter circuit abnormality.

[0123] In a specific implementation, the maximum current peak value at the moment the limiter is activated is compared with the maximum current threshold at the moment of activation used to determine whether the limiter is faulty. If the maximum current peak value at the moment the limiter is activated is greater than the maximum current threshold at the moment of activation used to determine whether the limiter is faulty, it indicates that the limiter circuit is abnormal. Otherwise, it indicates that the limiter has passed the test.

[0124] Step E12: When the current recovery time is less than the recovery time threshold, determine that the limiter detection result is a normal limiter result.

[0125] It can be understood that the recovery time threshold refers to the critical value of the time required for the current to return to a steady state for determining whether the limiter is faulty, and the limiter normal result refers to the detection result of the normal dynamic performance of the limiter.

[0126] In a specific implementation, the time required for the current to return to a steady state after the maximum current peak value at the start-up moment is collected is compared with a critical value for the time required for the current to return to a steady state, which is used to determine whether the limiter is faulty. If the time required for the current to return to a steady state after the maximum current peak value at the start-up moment is collected is less than the critical value for the time required for the current to return to a steady state, which is used to determine whether the limiter is faulty, it indicates that the dynamic performance of the limiter is normal. Otherwise, it indicates that the performance of the limiter is abnormal.

[0127] It should be noted that this embodiment intercepts the data of the limiter current curve 1s before as the product starting current curve, and makes the following judgments: ① Collect the maximum current peak at the moment of startup. If the peak current is greater than 10 times the steady-state current average, the circuit is judged to be abnormal; ② After collecting the maximum current peak at the moment of startup, if the time for the current to return to steady state is less than 10ms, the dynamic performance of the limiter is judged to be normal.

[0128] This embodiment processes the current curve data to obtain an operating current curve; determines peak current data, valley current data, current fluctuation times, and the limiter operating power based on the operating current curve; and performs limiter detection based on at least one of the peak current data, valley current data, current fluctuation times, and limiter operating power to determine the limiter detection result. By determining the peak current, valley current, fluctuation times, and operating power corresponding to the current data during limiter operation, the quality of the electric vehicle door limiter is determined, addressing the lack of detection methods in the field of electrified control of electric vehicle door limiter assemblies.

[0129] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the electric vehicle door limiter detection method of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0130] This application also provides an electric vehicle door limiter detection device, please refer to Figure 4 , the electric vehicle door limiter detection device includes:

[0131] An acquisition module 10 is used to control the electric door stopper to perform load movement according to the stopper detection voltage and to acquire data to obtain thrust curve data and current curve data;

[0132] a processing module 20, configured to process the thrust curve data and the current curve data to obtain a first thrust current curve;

[0133] a comparison module 30, configured to compare the torque constant corresponding to the first thrust current curve with a speed constant threshold to obtain a torque constant comparison result;

[0134] The detection module 40 is configured to determine that the limiter detection result is a limiter failure result when the torque constant corresponding to the thrust current curve data is greater than the speed constant threshold.

[0135] Optionally, the processing module 20 is further configured to:

[0136] removing the head and tail data corresponding to a preset time length of the thrust curve data to obtain processed thrust curve data;

[0137] removing the head and tail data corresponding to the preset time length of the current curve data to obtain processed current curve data;

[0138] A first thrust-current curve is obtained according to the processed thrust curve data and the processed current curve data.

[0139] Optionally, the acquisition module 10 is further configured to:

[0140] performing data processing on the thrust curve data and the current curve data to obtain a second thrust current curve;

[0141] When a thrust mutation is detected, the current delay time corresponding to the second thrust current curve is compared with a delay time threshold to obtain a delay time comparison result;

[0142] When the delay time comparison result is that the current delay time corresponding to the second thrust current curve is greater than the delay time threshold, it is determined that the limiter detection result is a limiter stuck result.

[0143] Optionally, the acquisition module 10 is further configured to:

[0144] Processing the current curve data to obtain a working current curve;

[0145] Determine peak current data, valley current data, current fluctuation times and limiter operating power according to the working current curve;

[0146] A limiter detection is performed based on at least one of the peak current data, the valley current data, the number of current fluctuations, and the limiter operating power to determine a limiter detection result.

[0147] Optionally, the acquisition module 10 is further configured to:

[0148] When the peak current data is greater than the peak current threshold, determining that the limiter detection result is a limiter overload result;

[0149] When the valley current data is less than the valley current threshold, determining that the limiter detection result is a limiter load result;

[0150] When the current fluctuation number is greater than the fluctuation number threshold, determining that the limiter detection result is a mechanical failure result;

[0151] When the operating power of the limiter is less than the rated power, the limiter detection result is determined to be a power abnormality result.

[0152] Optionally, the acquisition module 10 is further configured to:

[0153] Processing the current curve data to obtain a starting current curve;

[0154] Determine the starting peak current and current recovery time according to the starting current curve;

[0155] A limiter detection is performed according to at least one of the startup peak current and the current recovery time, and a limiter detection result is determined.

[0156] Optionally, the acquisition module 10 is further configured to:

[0157] When the starting peak current is greater than the starting current threshold, determining that the limiter detection result is a circuit abnormality result;

[0158] When the current recovery time is less than the recovery time threshold, it is determined that the limiter detection result is a normal limiter result.

[0159] The electric vehicle door stopper detection device provided in this application utilizes the electric vehicle door stopper detection method of the aforementioned embodiment, and can address the technical issue of the lack of detection methods in the field of electrified control of electric vehicle door stop assemblies. Compared to the prior art, the electric vehicle door stopper detection device provided in this application has the same beneficial effects as the electric vehicle door stopper detection method provided in the aforementioned embodiment, and the other technical features of the electric vehicle door stopper detection device are the same as those disclosed in the aforementioned embodiment method, and are not further described here.

[0160] The present application provides an electric vehicle door limiter detection device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the electric vehicle door limiter detection method in the above-mentioned embodiment one.

[0161] Reference below Figure 5 , which shows a schematic structural diagram of an electric vehicle door checker detection device suitable for implementing an embodiment of the present application. The electric vehicle door checker detection device in the embodiment of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 5 The electric vehicle door limiter detection device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0162] like Figure 5As shown, the electric door check detection device may include a processing device 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM) 1004. Various programs and data required for the operation of the electric door check detection device are also stored in RAM 1004. The processing device 1001, ROM 1002, and RAM 1004 are connected to each other via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the electric door check detection device to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows an electric door check detection device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or have instead.

[0163] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program comprising program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0164] The electric vehicle door stopper detection device provided in this application utilizes the electric vehicle door stopper detection method described in the aforementioned embodiment, addressing the technical issue of a lack of detection methods in the field of electrified control of electric vehicle door stop assemblies. Compared to the prior art, the electric vehicle door stopper detection device provided in this application achieves the same beneficial effects as the electric vehicle door stopper detection method described in the aforementioned embodiment. The other technical features of the electric vehicle door stopper detection device are the same as those disclosed in the aforementioned embodiment and are not further elaborated upon here.

[0165] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0166] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0167] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, a computer program) stored thereon, wherein the computer-readable program instructions are used to execute the electric vehicle door limiter detection method in the above-mentioned embodiment.

[0168] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0169] The computer-readable storage medium may be included in the electric vehicle door stopper detection device; or may exist independently without being assembled into the electric vehicle door stopper detection device.

[0170] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the electric door limiter detection device, the electric door limiter detection device: controls the electric door limiter to perform load movement according to the limiter detection voltage and collects data to obtain thrust curve data and current curve data; processes the thrust curve data and the current curve data to obtain a first thrust current curve; compares the torque constant corresponding to the first thrust current curve with the speed constant threshold to obtain a torque constant comparison result; when the torque constant corresponding to the thrust current curve data is greater than the speed constant threshold, determines that the limiter detection result is a limiter failure result.

[0171] Computer program code for performing the operations of the present application may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0172] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, program segment or a part of code, and the module, program segment or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0173] The modules described in the embodiments of the present application may be implemented in software or hardware, wherein the name of a module does not necessarily limit the unit itself.

[0174] The computer-readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described electric vehicle door check detection method. This computer-readable storage medium can address the technical issue of a lack of detection methods for the electrified control of electric vehicle door check assemblies. Compared to the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the electric vehicle door check detection method provided in the above-described embodiment, and are not further elaborated here.

[0175] The present application also provides a computer program product, comprising a computer program, which implements the steps of the electric vehicle door limiter detection method as described above when the computer program is executed by a processor.

[0176] The computer program product provided in this application can address the technical issue of the lack of detection methods for the electrified control of electric vehicle door limiter assemblies. Compared to the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the electric vehicle door limiter detection method provided in the aforementioned embodiment, and are not further elaborated here.

[0177] The above description is only part of the embodiments of the present application and does not limit the patent scope of the present application. All equivalent structural transformations made by using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect application in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for detecting a stopper of an electric vehicle door, characterized in that: The electric vehicle door limiter detection method includes: According to the limiter detection voltage, the electric door limiter is controlled to perform load movement and data is collected to obtain thrust curve data and current curve data; performing data processing on the thrust curve data and the current curve data to obtain a first thrust current curve; Comparing the torque constant corresponding to the first thrust current curve with a speed constant threshold to obtain a torque constant comparison result; When the torque constant corresponding to the thrust current curve data is greater than the speed constant threshold, it is determined that the limiter detection result is a limiter failure result.

2. The method according to claim 1, wherein The step of processing the thrust curve data and the current curve data to obtain a first thrust current curve includes: removing the head and tail data corresponding to a preset time length of the thrust curve data to obtain processed thrust curve data; removing the head and tail data corresponding to the preset time length of the current curve data to obtain processed current curve data; A first thrust-current curve is obtained according to the processed thrust curve data and the processed current curve data.

3. The method according to claim 1, wherein After the step of controlling the electric door stopper to perform load movement according to the stopper detection voltage and collecting data to obtain thrust curve data and current curve data, the method further includes: performing data processing on the thrust curve data and the current curve data to obtain a second thrust current curve; When a thrust mutation is detected, the current delay time corresponding to the second thrust current curve is compared with a delay time threshold to obtain a delay time comparison result; When the delay time comparison result is that the current delay time corresponding to the second thrust current curve is greater than the delay time threshold, it is determined that the limiter detection result is a limiter stuck result.

4. The method according to claim 1, wherein After the step of controlling the electric door stopper to perform load movement according to the stopper detection voltage and collecting data to obtain thrust curve data and current curve data, the method further includes: Processing the current curve data to obtain a working current curve; Determine peak current data, valley current data, current fluctuation times and limiter operating power according to the working current curve; A limiter detection is performed based on at least one of the peak current data, the valley current data, the number of current fluctuations, and the limiter operating power to determine a limiter detection result.

5. The method according to claim 4, wherein The step of performing limiter detection based on at least one of the peak current data, the valley current data, the number of current fluctuations, and the limiter operating power, and determining a limiter detection result includes: When the peak current data is greater than the peak current threshold, determining that the limiter detection result is a limiter overload result; When the valley current data is less than the valley current threshold, determining that the limiter detection result is a limiter load result; When the current fluctuation number is greater than the fluctuation number threshold, determining that the limiter detection result is a mechanical failure result; When the operating power of the limiter is less than the rated power, the limiter detection result is determined to be a power abnormality result.

6. The method according to claim 1, wherein After the step of controlling the electric door stopper to perform load movement according to the stopper detection voltage and collecting data to obtain thrust curve data and current curve data, the method further includes: Processing the current curve data to obtain a starting current curve; Determine the starting peak current and current recovery time according to the starting current curve; A limiter detection is performed according to at least one of the startup peak current and the current recovery time, and a limiter detection result is determined.

7. The method according to claim 6, wherein The step of performing limiter detection according to at least one of the starting peak current and the current recovery time and determining the limiter detection result includes: When the starting peak current is greater than the starting current threshold, determining that the limiter detection result is a circuit abnormality result; When the current recovery time is less than the recovery time threshold, it is determined that the limiter detection result is a normal limiter result.

8. An electric vehicle door stopper detection device, characterized in that: The device comprises: An acquisition module is used to control the electric door stopper to perform load movement according to the stopper detection voltage and to collect data to obtain thrust curve data and current curve data; a processing module, configured to process the thrust curve data and the current curve data to obtain a first thrust current curve; a comparison module, configured to compare the torque constant corresponding to the first thrust current curve with a speed constant threshold to obtain a torque constant comparison result; The detection module is configured to determine that a limiter detection result is a limiter failure result when a torque constant corresponding to the thrust current curve data is greater than a speed constant threshold.

9. An electric vehicle door stopper detection device, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the electric vehicle door check valve detection method according to any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the electric vehicle door limiter detection method according to any one of claims 1 to 7 are implemented.