Robustness detection method and system for charging system lock control structure, and intelligent terminal

Abstract

The present application discloses a robustness detection method and system for a charging system lock control structure, an intelligent terminal, and a storage medium, wherein the method includes: obtaining the travel data of the electronic lock in multiple test periods; determining an array including each of the travel data to obtain an initial travel array; performing a pre-order accumulation on each value in the initial travel array to obtain a travel trend array; performing a linear regression fitting on the array elements and index values ​​of the travel trend array to obtain a travel trend equation; performing a derivative operation on the travel trend equation to obtain a trend parameter; and detecting the robustness of the charging system lock control structure according to the trend parameter. The present application can avoid the influence caused by time, error, and / or application scenario, making the obtained robustness more accurate, thereby further improving the reliability of the obtained robustness.

Description

Technical Field

[0001] The present application relates to the field of charging control technology, and in particular to a robustness detection method and system for a charging system lock control structure, an intelligent terminal, and a storage medium. Background Art

[0002] As electric vehicles become more and more popular, the issue of charging safety of electric vehicles has received more and more attention. The charging systems of early electric vehicles were relatively simple. During the charging process, the charging gun may be accidentally disconnected or manually pulled apart, causing the vehicle to be plugged in and out of the charging gun during high-voltage charging, which may cause arcing or even cause the vehicle to burn, threatening personal and vehicle safety.

[0003] In response to this situation, relevant domestic standards have separately stipulated the need for charging systems to be equipped with charging gun electronic locks. The charging gun electronic lock is generally locked before the charging process begins and unlocked after the charging process ends, mainly to prevent the power supply socket and vehicle socket from being accidentally disconnected during the charging process.

[0004] At present, due to problems with the lock control software or hardware circuit, the electronic lock of the charging gun may be overlocked or underlocked, resulting in incomplete locking during charging, and the charging gun can still be pulled out, or incomplete unlocking after charging is completed, and the charging gun cannot be pulled out. Therefore, it is necessary to conduct a robustness analysis on the developed charging system lock control software and hardware to evaluate whether the charging system lock control software and hardware meet the relevant requirements based on the robustness to ensure normal lock control. The general method currently used is to measure the feedback voltage of the electronic lock when the electronic lock is locked or unlocked multiple times to confirm whether the electronic lock is overlocked or underlocked, and use the ratio of the sum of the overlocking number and the underlocking number to the total number of tests as the parameter for determining the robustness.

[0005] Although there is a direct correlation between the feedback voltage of the electronic lock and the telescopic length of the electronic lock body, this relationship can be used to infer whether the electronic lock is currently in an overlocked or underlocked state. However, due to the small errors in the hardware, it is difficult to deduce a direct voltage-to-distance formula. The telescopic distance of the lock body obtained by the actual measured voltage is an estimated value, resulting in a low reference value when using a large amount of test data to analyze small robustness errors. Therefore, the robustness determined by the above solution for the electric vehicle charging system lock control hardware and software is prone to low reliability in some scenarios. Summary of the invention

[0006] In view of this, the present application provides a method and system for detecting the robustness of a charging system locking structure, an intelligent terminal, and a storage medium to improve the reliability of the robustness of the determined electric vehicle charging system locking structure.

[0007] The present application provides a method for detecting the robustness of a charging system lock control structure, comprising the following steps:

[0008] Obtaining the travel data of the electronic lock during multiple test periods;

[0009] Determine an array including each of the trip data to obtain an initial trip array;

[0010] Performing a pre-order accumulation on each value in the initial travel array to obtain a travel trend array;

[0011] Performing linear regression fitting on the array elements and index values ​​of the travel trend array to obtain a travel trend equation;

[0012] Performing a derivative operation on the travel trend equation to obtain a trend parameter;

[0013] The robustness of the charging system locking structure is detected according to the trend parameter.

[0014] Optionally, the process of acquiring the travel data within each test period includes: collecting the distance from the lock body of the electronic lock to the laser emitter multiple times through a laser ranging instrument; when the distance collected at one moment is different from the distance collected last time, taking the moment as the starting moment of the test period, and continuing to collect the distance from the lock body of the electronic lock to the laser emitter multiple times within the test period; determining the travel data based on the difference between the maximum value and the minimum value of the multiple distances obtained within the test period.

[0015] Optionally, the laser distance measuring instrument collects corresponding distances at a preset frequency; and / or the laser emitted by the laser transmitter is perpendicular to the cross-section of the lock body of the electronic lock.

[0016] Optionally, the determining includes an array of each of the trip data to obtain an initial trip array, including: storing each of the trip data as an array, shuffling array elements in the array and reordering the shuffled array elements to obtain the initial trip array.

[0017] Optionally, the process of determining each array element in the travel trend array includes: ; In the formula, Represents the i-th array element in the initial itinerary array, Represents the jth array element in the travel trend array, 1≤j≤n, and n is the total number of array elements in the initial travel array.

[0018] Optionally, performing linear regression fitting on the array elements and index values ​​of the travel trend array to obtain the travel trend equation includes: performing a function fitting with the array elements of the travel trend array as the dependent variables and the index values ​​of the array elements in the travel trend array as the independent variables to obtain the travel trend equation.

[0019] Optionally, detecting the robustness of the charging system control lock structure according to the trend parameter includes: obtaining the absolute value of the difference between each array element in the travel trend array and the trend parameter; and determining the robustness of the charging system control lock structure according to the sum of each absolute value.

[0020] The present application also provides a robustness detection system for a charging system lock control structure, including:

[0021] An acquisition module, used for acquiring travel data of the electronic lock in multiple test periods;

[0022] A determination module, used for determining an array including each of the trip data to obtain an initial trip array;

[0023] An accumulation module, used for performing pre-order accumulation on each value in the initial travel array to obtain a travel trend array;

[0024] A fitting module, used for performing linear regression fitting on the array elements and index values ​​of the travel trend array to obtain a travel trend equation;

[0025] A calculation module, used for performing a derivative operation on the travel trend equation to obtain a trend parameter;

[0026] A detection module is used to detect the robustness of the charging system locking structure according to the trend parameter.

[0027] The present application also provides an intelligent terminal, comprising: a memory and a processor, wherein the memory stores a robustness detection program for a charging system control lock structure, and when the robustness detection program for the charging system control lock structure is executed by the processor, the steps of any of the above robustness detection methods for a charging system control lock structure are implemented.

[0028] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of any of the above-mentioned robustness detection methods for a charging system control lock structure are implemented.

[0029] The robustness detection method and system, intelligent terminal, and storage medium of the above-mentioned charging system lock control structure of the present application obtain travel data that characterizes the actual moving distance of the electronic lock in multiple test periods, determine an initial travel array including various travel data, perform pre-order accumulation on various values ​​in the initial travel array to obtain a travel trend array, perform linear regression fitting on array elements and index values ​​of the travel trend array to obtain a travel trend equation, perform derivative operation on the travel trend equation to obtain a trend parameter, and detect the robustness of the charging system lock control structure according to the trend parameter. The robustness is based on the actual moving distance of the electronic lock, has small error and high reliability. In the face of a large amount of distance data and the distance data may have errors, the distance data and travel corresponding data are disrupted, and then the data elements are calculated and processed to further avoid the influence caused by time, error and / or application scenario, so that the obtained robustness is more accurate, thereby further improving the reliability of the obtained robustness. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0031] Figure 1 It is a flowchart of a robustness detection method for a charging system lock control structure according to an embodiment of the present application;

[0032] Figure 2 is a schematic diagram of the robustness detection system structure of the charging system lock control structure of an embodiment of the present application;

[0033] Figure 3 It is a schematic diagram of the structure of a smart terminal according to an embodiment of the present application. DETAILED DESCRIPTION

[0034] The technical solutions in the embodiments of the present application are clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application. In the absence of conflict, the following embodiments and their technical features can be combined with each other.

[0035] In a first aspect, the present application provides a method for detecting the robustness of a charging system control lock structure. The method for detecting the robustness of a charging system control lock structure can be performed by an intelligent terminal for detecting the robustness of a charging system control lock structure. Figure 1As shown, the above-mentioned robustness detection method of the charging system locking structure includes the following steps S110 to S160.

[0036] S110, obtaining travel data of the electronic lock in a plurality of test periods; wherein the plurality of test periods include a plurality of test periods occurring successively, such as the 1st to the mth test periods, and so on.

[0037] The electronic lock includes a lock body and other structures. The above steps can collect the movement distance of the lock body through a laser distance measuring instrument to obtain the travel data of the electronic lock. Optionally, the laser distance measuring instrument can include components such as a laser emitter and a distance detection component. The laser emitter can emit laser light to the lock body, and the distance detection component can detect the distance from the lock body of the electronic lock to the laser emitter, so as to determine the movement distance of the electronic lock body through multiple detected distances, thereby obtaining corresponding travel data, so that the travel data can represent the actual movement distance of the electronic lock body.

[0038] Specifically, the laser emitted by the laser transmitter is perpendicular to the cross section of the lock body of the electronic lock, so as to avoid errors between the measured distance and the actual distance and improve the accuracy of the obtained travel data.

[0039] Optionally, the laser distance measuring instrument can collect the distance from the lock body of the electronic lock to the laser transmitter at a preset frequency, so as to timely determine whether the lock body of the electronic lock moves, and timely obtain the travel data when the lock body of the electronic lock moves. Optionally, the preset frequency is 50 Hz.

[0040] In some embodiments, the process of acquiring the travel data in each test period includes: collecting the distance from the lock body of the electronic lock to the laser emitter multiple times by a laser distance measuring instrument; when the distance collected at one moment is different from the distance collected last time, the moment is used as the starting moment of the test period, and the distance from the lock body of the electronic lock to the laser emitter is collected multiple times in the test period; and the travel data of the lock body of the electronic lock is determined according to the difference between the maximum value and the minimum value of the multiple distances obtained in the test period. The test period includes a period of 2s or 3s from the starting moment.

[0041] Specifically, the laser distance measuring instrument collects the distance from the lock body of the electronic lock to the laser transmitter in real time, and compares each collected distance with the distance collected last time. If they are the same, the last data is cleared, and only the current data is retained as the basis for the next comparison. If they are different, a time window of 2 seconds is opened (i.e., the current test period), and all distances obtained in the time window are saved, and the maximum and minimum values ​​of the obtained distances are collected, and the absolute value of the difference between the maximum and minimum values ​​is used as the travel data.

[0042] S120, determining an array including each of the travel data to obtain an initial travel array.

[0043] Specifically, the determining includes an array of each of the trip data to obtain an initial trip array, including: storing each of the trip data as an array, shuffling array elements in the array and reordering the shuffled array elements to obtain the initial trip array, so as to remove the influence of time on the array elements in the initial trip array, thereby improving the reliability of the latter in performing related operations on the array elements.

[0044] S130, performing pre-order accumulation on each value in the initial travel array to obtain a travel trend array.

[0045] Pre-order accumulation may include determining the jth array element in the travel trend array based on the sum of the 1st to jth array elements in the initial travel array; for example, the 1st array element array[1] in the travel trend array may be the 1st array element array[1] in the initial travel array, the 2nd array element array[2] in the travel trend array may be the sum of the 1st and 2nd array elements in the initial travel array: array[1]+array[2], ..., the nth array element array[n] in the travel trend array may be the sum of the 1st to nth array elements in the initial travel array: array[1]+array[2]+...+array[n], and the differential equation of the linear regression fitting line created using this array may be the travel data trend parameter itself.

[0046] In some embodiments, the process of determining each array element in the travel trend array includes: ; In the formula, Represents the i-th array element in the initial itinerary array, Indicates the jth array element in the travel trend array, 1≤j≤n, and n is the total number of array elements in the initial travel array. For example, when j=1, A2=A[1], when j=2, A2=A[1]+A[2], ..., when j=n, A2=A[1]+A1[2]+...+A1[n].

[0047] S140, performing linear regression fitting on the array elements and index values ​​of the travel trend array to obtain a travel trend equation.

[0048] Specifically, performing linear regression fitting on the array elements and index values ​​of the travel trend array to obtain the travel trend equation includes: taking the array elements of the travel trend array (such as ) is the dependent variable, and the index value of the array element in the travel trend array (such as the serial number j of the data element) is used as the independent variable to perform a function fitting to obtain the travel trend equation; the travel trend equation is a straight line equation,

[0049] S150, performing a derivative operation on the travel trend equation to obtain a trend parameter.

[0050] The above travel trend equation is a straight line equation. The partial derivative of the travel trend equation with respect to the index value as the independent variable is obtained, and the result is the trend parameter of the travel. All travel data will converge to this trend parameter.

[0051] S160: Detect the robustness of the charging system locking structure according to the trend parameter.

[0052] In some embodiments, the robustness of the charging system control lock structure is detected according to the trend parameter, including: obtaining the absolute value of the difference between each array element in the travel trend array and the trend parameter; and determining the robustness of the charging system control lock structure according to the sum of each absolute value. The above-mentioned absolute values ​​can be used as error parameters in the detection process, and all error parameters are accumulated and summed, and the accumulated sum can be used as the robustness of the charging system control lock structure.

[0053] Specifically, in the most ideal case, the collected travel data is a fixed value or a series of values ​​that conform to the normal distribution, so that the travel data still operates under a certain constraint even if there is an error fluctuation caused by force majeure. This embodiment is to find the most likely state of the travel data after removing the error fluctuation, and compare the data corresponding to the presented state with the actual travel data to obtain the robustness of the charging system electronic lock travel data.

[0054] Optionally, the above-mentioned robustness can be used as a stability evaluation score of the charging system control lock structure. If the evaluation score meets the requirements, it indicates that the charging system control lock structure or the corresponding control software is qualified. If the evaluation score does not meet the requirements, it indicates that the charging system control lock structure or the corresponding control software is unqualified and needs to be reconfigured and / or the corresponding control software needs to be modified. Specifically, the above-mentioned robustness detection method of the charging system control lock structure may also include: if the robustness is within a preset reliability range, the charging system control lock structure or the corresponding control software is determined to be qualified; if the robustness exceeds the preset reliability range, it indicates that the charging system control lock structure or the corresponding control software is unqualified. Optionally, the reliability range can be set according to factors such as the configuration characteristics of the charging system control lock structure.

[0055] The above robustness detection method of the charging system lock control structure obtains the travel data that characterizes the actual moving distance of the electronic lock in multiple test periods, determines the initial travel array including each travel data, performs pre-order accumulation on each value in the initial travel array to obtain a travel trend array, performs linear regression fitting on the array elements and index values ​​of the travel trend array to obtain a travel trend equation, performs derivative operation on the travel trend equation to obtain a trend parameter, and detects the robustness of the charging system lock control structure according to the trend parameter. The robustness is based on the actual moving distance of the electronic lock, has small error and high reliability. In the face of a large amount of distance data and the distance data may have errors, the distance data and the travel corresponding data are disrupted, and then the data elements are calculated and processed to further avoid the influence caused by time, error and / or application scenario, so that the obtained robustness is more accurate, thereby further improving the reliability of the obtained robustness.

[0056] The second aspect of the present application provides a robustness detection system for a charging system control lock structure, which can be provided in a terminal device such as an intelligent terminal and / or a charging system control lock structure for detecting the robustness of the charging system control lock structure. Figure 2 As shown, the robustness detection system of the above charging system lock control structure includes:

[0057] An acquisition module 110 is used to acquire travel data of the electronic lock in multiple test periods;

[0058] A determination module 120, configured to determine an array including each of the trip data to obtain an initial trip array;

[0059] An accumulation module 130, configured to perform a pre-order accumulation on each value in the initial trip array to obtain a trip trend array;

[0060] A fitting module 140, configured to perform linear regression fitting on the array elements and index values ​​of the travel trend array to obtain a travel trend equation;

[0061] A calculation module 150 is used to perform a derivative operation on the travel trend equation to obtain a trend parameter;

[0062] The detection module 160 is used to detect the robustness of the charging system locking structure according to the trend parameter.

[0063] For the specific definition of the robustness detection system of the charging system control lock structure, please refer to the definition of the robustness detection method of the charging system control lock structure in the above text, which will not be repeated here. Each module in the above-mentioned robustness detection system of the charging system control lock structure can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the operation module in the relevant computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the operation module can call and execute the operations corresponding to the above-mentioned units.

[0064] The present application also provides a smart terminal, referring to Figure 3 As shown, the smart terminal may include: a memory and a processor, wherein the memory stores a robustness detection program of the charging system control lock structure, and when the robustness detection program of the charging system control lock structure is executed by the processor, the steps of the robustness detection method of the charging system control lock structure described in any of the above embodiments are implemented. Optionally, the smart terminal may be provided in the charging system control lock structure so that the charging system control lock structure can detect its own robustness in real time.

[0065] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the robustness detection method of the charging system control lock structure as described in any of the above embodiments are implemented.

[0066] Although the present application has been shown and described with respect to one or more implementations, equivalent variations and modifications will occur to those skilled in the art based on reading and understanding this specification and the accompanying drawings. The present application includes all such modifications and variations and is limited only by the scope of the appended claims. In particular, with respect to the various functions performed by the above-mentioned components, the terms used to describe such components are intended to correspond to any component (unless otherwise indicated) that performs the specified function of the component (e.g., it is functionally equivalent), even if it is not structurally equivalent to the disclosed structure that performs the function in the exemplary implementation of the present specification shown herein.

[0067] That is, the above description is only an embodiment of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the specification and drawings of the present application, such as the mutual combination of technical features between the embodiments, or direct or indirect application in other related technical fields, are also included in the patent protection scope of the present application.

[0068] In addition, in the description of the present application, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, which are only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present application. In addition, for structural elements with the same or similar characteristics, the present application may use the same or different reference numerals for identification. In addition, the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more features. In the description of the present application, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0069] In this application, the word "exemplary" is used to mean "used as an example, illustration or description". Any embodiment described as "exemplary" in this application is not necessarily to be construed as being more preferred or more advantageous than other embodiments. In order to enable any technician in the field to implement and use the present application, the present application provides the above description. In the above description, various details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present application can be implemented without using these specific details. In other embodiments, well-known structures and processes will not be elaborated in detail to avoid unnecessary details that make the description of the present application obscure. Therefore, the present application is not intended to be limited to the embodiments shown, but is consistent with the widest range of principles and features disclosed in the present application.

Claims

1. A robustness detection method for a charging system lock control structure, characterized in that: The robustness detection method of the charging system locking structure includes: Obtaining the travel data of the electronic lock during multiple test periods; Determine an array including each of the trip data to obtain an initial trip array; Performing a pre-order accumulation on each value in the initial travel array to obtain a travel trend array; Performing linear regression fitting on array elements and index values ​​of the travel trend array to obtain a travel trend equation; Performing a derivative operation on the travel trend equation to obtain a trend parameter; The robustness of the charging system locking structure is detected according to the trend parameter.

2. The robustness detection method of the charging system lock control structure according to claim 1, characterized in that: The process of acquiring the travel data in each test period includes: The distance from the lock body of the electronic lock to the laser transmitter is collected multiple times by a laser distance measuring instrument; When the distance collected at one moment is different from the distance collected last time, the moment is taken as the starting moment of the test period, and the distance from the lock body of the electronic lock to the laser transmitter is collected multiple times within the test period; The travel data is determined according to a difference between a maximum value and a minimum value among a plurality of distances acquired during the test period.

3. The robustness detection method of the charging system lock control structure according to claim 2, characterized in that: The laser distance measuring instrument collects corresponding distances at a preset frequency; and / or the laser emitted by the laser transmitter is perpendicular to the cross-section of the lock body of the electronic lock.

4. The robustness detection method of the charging system lock control structure according to claim 1, characterized in that: The determining includes arrays of the various trip data to obtain an initial trip array, including: Each of the trip data is stored as an array, array elements in the array are shuffled and the shuffled array elements are reordered to obtain the initial trip array.

5. The robustness detection method of the charging system lock control structure according to claim 1, characterized in that: The process of determining each array element in the travel trend array includes: ； In the formula, Represents the i-th array element in the initial itinerary array, Represents the jth array element in the travel trend array, 1≤j≤n, and n is the total number of array elements in the initial travel array.

6. The robustness detection method of the charging system lock control structure according to claim 1, characterized in that: The linear regression fitting is performed on the array elements and index values ​​of the travel trend array to obtain the travel trend equation, including: The travel trend equation is obtained by performing a function fitting once with the array elements of the travel trend array as dependent variables and the index values ​​of the array elements in the travel trend array as independent variables.

7. The robustness detection method of the charging system lock control structure according to claim 1, characterized in that: The detecting the robustness of the charging system lock control structure according to the trend parameter includes: Obtaining the absolute value of the difference between each array element in the travel trend array and the trend parameter; The robustness of the charging system locking structure is determined according to the sum of the absolute values.

8. A robustness detection system for a charging system lock control structure, characterized in that: include: An acquisition module, used for acquiring travel data of the electronic lock in multiple test periods; A determination module, used for determining an array including each of the trip data to obtain an initial trip array; An accumulation module, used for performing pre-order accumulation on each value in the initial travel array to obtain a travel trend array; A fitting module, used for performing linear regression fitting on the array elements and index values ​​of the travel trend array to obtain a travel trend equation; A calculation module, used for performing a derivative operation on the travel trend equation to obtain a trend parameter; A detection module is used to detect the robustness of the charging system locking structure according to the trend parameter.

9. An intelligent terminal, characterized in that: The intelligent terminal includes: a memory and a processor, wherein the memory stores a robustness detection program for a charging system control locking structure, and when the robustness detection program for the charging system control locking structure is executed by the processor, the steps of the robustness detection method for the charging system control locking structure according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by the processor, the steps of the robustness detection method of the charging system locking structure according to any one of claims 1 to 7 are implemented.

Images