Intelligent detection of charging pile current overload protection method

Abstract

The invention discloses a current overload protection method for a charging pile with intelligent detection, which relates to the technical field of current overload protection and comprises the following steps: collecting historical charging data of a charging pile; preprocessing the historical charging data to obtain preprocessed data; analyzing the preprocessed data to analyze the influence of charging temperature and the cooling efficiency of a cooling system on the current overload of the charging pile; evaluating the charging pile based on the analysis result of the influence of the charging temperature and the cooling efficiency of a cooling system on the current overload of the charging pile; taking corresponding protection measures for the charging pile based on the evaluation result; the invention is used to solve the problem that the existing current overload protection technology still has insufficient consideration of the factors causing the current overload, resulting in errors in the prejudgment analysis result of the current overload of the circuit.

Description

Technical Field

[0001] The present invention relates to the technical field of current overload protection, and in particular to a charging pile current overload protection method with intelligent detection. Background Art

[0002] Current overload protection technology refers to a technical means used to protect electrical equipment and circuits from damage caused by excessive current. Its main purpose is to monitor the current and take measures when the current exceeds the preset threshold to prevent equipment overload, damage or fire hazards.

[0003] Existing current overload protection technologies usually calculate and analyze various factors that may easily cause current overload, so as to determine whether the circuit has current overload or is about to have current overload. Current overload is usually related to multiple factors, among which the most influential is the ambient temperature of charging. Existing current overload protection technologies usually analyze the temperature, and only consider the influence of the temperature value itself during the analysis process. After exceeding a certain threshold, the charging current is directly reduced to prevent current overload. If used in the circuit detection of charging piles, most charging piles will reduce the charging current in high temperature weather. The user experience is reduced, and the basis for executing the operation is not reasonable. For example, in the Chinese patent application publication number CN115946559A, a charging pile charging current adjustment method, an adjustment device and a charging pile are disclosed. This scheme directly reduces the charging current gear only when the current temperature of the temperature detection point is greater than the first preset temperature. Only the instantaneous temperature value is considered. Although it can avoid current overload, it greatly reduces the user experience. The existing current overload protection technology still has insufficient consideration of the factors that cause current overload, resulting in errors in the prediction analysis results of the circuit current overload. Summary of the invention

[0004] The present invention aims to solve one of the technical problems in the prior art to at least a certain extent, by collecting historical charging data of charging piles, grouping the historical charging data to obtain charging temperature groups, analyzing the charging temperature groups to obtain charging temperature overload probability functions, and then calculating and analyzing time efficiency parameters for different charging temperature groups, and obtaining a time efficiency overload function based on the time efficiency parameter analysis, and finally predicting the current overload phenomenon of the charging pile based on the temperature overload probability function and the time efficiency overload function, and timely reducing the charging current when an early warning occurs, so as to solve the problem that the existing current overload protection technology still has insufficient consideration of the factors causing current overload, resulting in erroneous pre-judgment analysis results of the circuit current overload.

[0005] To achieve the above objectives, in a first aspect, the present application provides a charging pile current overload protection method with intelligent detection, comprising the following steps:

[0006] Collect historical charging data of charging piles;

[0007] Preprocessing historical charging data to obtain preprocessed data;

[0008] Analyze the preprocessed data to analyze the impact of charging temperature and cooling efficiency of the cooling system on the current overload of the charging pile;

[0009] The charging pile is evaluated based on the analysis results of the impact of charging temperature and cooling system cooling efficiency on the current overload of the charging pile;

[0010] Take corresponding protective measures for charging piles based on the evaluation results.

[0011] Furthermore, collecting the historical charging data of the charging pile includes the following sub-steps:

[0012] Connect data with charging pile;

[0013] A charging history database is established to collect historical charging data of the charging pile, wherein the historical charging data includes historical charging temperature, historical high temperature duration, whether it is overloaded, and historical cooling efficiency; the historical charging temperature is the maximum temperature of the charging pile during this charging process; the historical high temperature duration is the duration of the historical charging temperature during this charging process; the historical cooling efficiency is the ratio of the temperature drop of the charging pile to the historical charging temperature.

[0014] Furthermore, preprocessing the historical charging data to obtain the preprocessed data includes the following sub-steps:

[0015] The historical charging temperatures are grouped and named charging temperature groups, using the symbol TC n Indicates, where n is a positive integer and n is the serial number of the TC, the charging temperature group includes the charging temperature range;

[0016] Get the optimal temperature, represented by the symbol t, and set the temperature span, represented by the symbol h;

[0017] The charging temperature range of TC1 is (th, t], and the charging temperature group TC n The corresponding charging temperature range is (t+n×h-2×h,t+n×hh];

[0018] The pre-processed data is a charging temperature grouping.

[0019] Further, the preprocessing data is analyzed to analyze the influence of the charging temperature and the cooling efficiency of the cooling system on the current overload of the charging pile, including the following sub-steps:

[0020] Analyze the charging temperature groups to determine the relationship between ambient temperature and charging pile current overload;

[0021] Based on the relationship between ambient temperature and charging pile current overload and combined with cooling efficiency, an analysis was conducted to obtain the influence of ambient temperature and cooling efficiency on charging pile current overload.

[0022] Furthermore, analyzing the charging temperature groups and determining the relationship between the ambient temperature and the charging pile current overload includes the following sub-steps:

[0023] The percentage of overloads in the charging temperature group is counted and marked as the temperature overload rate;

[0024] A rectangular coordinate system is established with the charging temperature group as the X-axis and the overload rate as the Y-axis, and is named the charging temperature overload coordinate system; the charging temperature group and the temperature overload rate corresponding to the charging temperature group are entered into the charging temperature overload coordinate system;

[0025] Polynomial regression is performed on the charging temperature overload coordinate system to obtain the charging temperature overload probability function.

[0026] Furthermore, based on the relationship between the ambient temperature and the current overload of the charging pile, the analysis combined with the cooling efficiency includes the following sub-steps:

[0027] For different charging temperature groups, obtain historical charging data in the charging temperature groups;

[0028] For any historical charging data, calculate HT / L and mark the result as the duration efficiency parameter, represented by the symbol U, where L is the historical cooling efficiency and HT is the historical high temperature duration;

[0029] Calculate the duration efficiency parameters of all historical charging data;

[0030] Set the number of parameter groups, obtain the minimum and maximum values ​​of the duration efficiency parameters in the current charging temperature group, and mark them as the minimum parameter and the maximum parameter respectively;

[0031] Calculate (max(U)-min(U)) / CF, where max(U) is the maximum parameter, min(U) is the minimum parameter, and CF is the number of parameter groups. The calculation result is marked as the parameter group gradient, which is represented by the symbol CT.

[0032] The duration efficiency parameters in the charging temperature group are grouped and named as duration efficiency group, and the symbol SX m Indicates, where m is a non-zero natural number and m is the serial number of SX;

[0033] Each SX m Corresponding to a duration efficiency group, the duration efficiency group includes a duration efficiency range and duration efficiency parameters within the duration efficiency range;

[0034] For SX m , the time efficiency range is [min(U)+(m×CT)-CT,min(U)+(m×CT)];

[0035] For SX m Further analysis was conducted to obtain the effects of ambient temperature and cooling efficiency on the current overload of the charging pile.

[0036] Furthermore, for SX m Further analysis includes the following sub-steps:

[0037] According to the duration efficiency range, the duration efficiency parameters are classified into corresponding duration efficiency groups;

[0038] Count the proportion of overload in different duration efficiency groups, and mark it as duration efficiency overload rate;

[0039] SX m A rectangular coordinate system is established with SX as the horizontal axis and the duration efficiency overload rate as the vertical axis, named the duration efficiency coordinate system. m And the corresponding duration efficiency overload rate is entered into the duration efficiency coordinate system;

[0040] Perform polynomial regression on the duration-efficiency coordinate system and obtain the duration-efficiency overload function.

[0041] Furthermore, evaluating the charging pile based on the analysis results of the influence of the charging temperature and the cooling efficiency of the cooling system on the current overload of the charging pile includes the following sub-steps:

[0042] Monitor the real-time charging temperature of the charging pile in real time, substitute the real-time charging temperature into the charging temperature overload probability function for calculation, and obtain the real-time temperature overload probability;

[0043] The real-time temperature overload probability is compared with the first probability threshold. If the real-time temperature overload probability is less than the first probability threshold, a normal temperature signal is output; if the real-time temperature overload probability is greater than or equal to the first probability threshold, an abnormal temperature signal is output;

[0044] If an abnormal temperature signal is output, the current overload phenomenon of the charging pile is evaluated through the time efficiency overload function.

[0045] Furthermore, evaluating the current overload phenomenon of the charging pile by using the duration efficiency overload function includes the following sub-steps:

[0046] Mark the real-time charging temperature as high temperature, and record the duration of the high temperature in real time, marking it as high temperature duration;

[0047] Real-time monitoring of the real-time cooling efficiency of the charging pile;

[0048] Calculate the duration of high temperature divided by the real-time cooling efficiency, and mark the calculation result as a real-time calculation parameter;

[0049] Find the charging temperature group to which the high temperature belongs, name it the target temperature group, substitute the real-time calculation parameters into the duration efficiency overload function of the target temperature group for calculation, and obtain the real-time overload probability;

[0050] The real-time overload probability is compared with the second probability threshold. If the real-time overload probability is less than the second probability threshold, a no overload danger signal is output; if the real-time overload probability is greater than or equal to the second probability threshold, a current overload warning signal is output.

[0051] Furthermore, taking corresponding protective measures for the charging pile based on the evaluation result includes controlling the charging pile to reduce the output charging current when an output current overload warning signal is issued, and sending a warning message to the user at the same time.

[0052] Beneficial effects of the present invention: The present invention collects historical charging data of charging piles, groups the historical charging data, obtains charging temperature groups, analyzes the charging temperature groups, and obtains a charging temperature overload probability function. The advantage is that the charging temperature overload probability function reflects the probability of circuit overload at different temperatures, that is, the function of the influence of the temperature value itself on the circuit. If the temperature has little effect on the charging pile, no subsequent analysis is required. If the temperature has a greater impact on the charging pile, it is necessary to evaluate the charging pile in combination with the charging time and the efficiency of heat dissipation, thereby improving the accuracy and rationality of the current overload protection of the charging pile.

[0053] The present invention calculates the historical high-temperature time and cooling efficiency in combination to obtain a time efficiency parameter for evaluating the charging time and heat dissipation efficiency of the charging pile at the current temperature, and then groups them based on the time efficiency parameter to obtain time efficiency groups. The time efficiency overload function is obtained by analyzing the time efficiency overload rate of the time efficiency groups. The advantage of the present invention is that the time efficiency overload function reflects the influence of the charging time and heat dissipation efficiency at a certain temperature on the current overload of the charging pile, and can consider the probability of current overload in three dimensions of temperature, time and heat dissipation, thereby improving the accuracy and effectiveness of current overload protection of the charging pile. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 is a flow chart of the steps of the method of the present invention;

[0055] Figure 2 It is the charging temperature overload coordinate system of the present invention;

[0056] Figure 3 is the time efficiency coordinate system of the present invention;

[0057] Figure 4A connection block diagram of the electronic device of the present invention;

[0058] In the figure: 60, electronic device; 601, processor; 602, memory DETAILED DESCRIPTION

[0059] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0060] Example 1, please refer to Figure 1 As shown, the present application provides a charging pile current overload protection method with intelligent detection, comprising the following steps:

[0061] Step S1, collecting historical charging data of the charging pile; Step S1 includes the following sub-steps:

[0062] Step S101, establishing data connection with a charging pile;

[0063] Step S102, establish a charging history database, collect historical charging data of the charging pile, the historical charging data includes historical charging temperature, historical high temperature duration, whether it is overloaded, and historical cooling efficiency; the historical charging temperature is the maximum temperature of the charging pile during this charging process; the historical high temperature duration is the duration occupied by the historical charging temperature during this charging process; the historical cooling efficiency is the ratio of the temperature drop of the charging pile to the historical charging temperature;

[0064] In a specific implementation, some historical charging data of the charging history database is shown in Table 1 below:

[0065] Table 1 Some historical charging data

[0066]

[0067] Step S2, preprocessing the historical charging data to obtain preprocessed data; Step S2 includes the following sub-steps:

[0068] Step S201, grouping the historical charging temperatures into charging temperature groups, represented by the symbol TCn, where n is a positive integer and n is the sequence number of TC, and the charging temperature group includes a charging temperature range;

[0069] Step S202, obtaining the optimal temperature, represented by symbol t, and setting the temperature span, represented by symbol h;

[0070] Step S203, the charging temperature range of TC1 is (th, t], and the charging temperature range corresponding to the charging temperature group TCn is (t+n×h-2×h, t+n×hh];

[0071] Step S204, pre-processing data into charging temperature groups;

[0072] In a specific implementation, the optimal temperature is the optimal charging temperature tested and recommended by various existing charging pile manufacturers, which is usually between 20°C and 30°C. In this embodiment, the optimal temperature is set to 25°C. When analyzing the temperature value, if only a single value is analyzed, the data density will be insufficient, and the number of historical data with different values ​​will be quite different, which is not conducive to analysis. Therefore, it is changed to range analysis, and range analysis requires setting a temperature span. The lower the temperature span is set, the more accurate the analysis result is. It is usually not less than 1°C. In this embodiment, the temperature span is set to 2°C; that is, the charging temperature range of TC1 is (23°C, 25°C], the charging temperature range of TC2 is (25°C, 27°C], and so on. In the historical charging data, the maximum value of the historical charging temperature is 62°C, then the charging temperature range can be divided into 62°C, that is, the charging temperature range of TC20 is (61°C, 63°C], and n is a maximum of 20.

[0073] Step S3, analyzing the preprocessed data to analyze the impact of the charging temperature and the cooling efficiency of the cooling system on the current overload of the charging pile; Step S3 includes the following sub-steps:

[0074] Step S301, analyzing the charging temperature groups to determine the relationship between the ambient temperature and the charging pile current overload;

[0075] Step S301 includes the following sub-steps:

[0076] Step S3011, counting the proportion of overloads in the charging temperature group, and marking it as the temperature overload rate;

[0077] See also Figure 2 As shown, in step S3012, a rectangular coordinate system is established with the charging temperature group as the X-axis and the overload rate as the Y-axis, and is named the charging temperature overload coordinate system; the charging temperature group and the temperature overload rate corresponding to the charging temperature group are entered into the charging temperature overload coordinate system;

[0078] Step S3013, performing polynomial regression on the charging temperature overload coordinate system to obtain a charging temperature overload probability function;

[0079] In the specific implementation, it is necessary to remove the groups without historical charging data in the charging temperature grouping, and the remaining charging temperature groups obtained by removing them are TC10 to TC20, and the corresponding temperature overload rates are 1.23%, 1.33%, 2.38%, 2.85%, 3.69%, 4.25%, 5.58%, 6.75%, 8.39% and 10.58% respectively. The charging temperature overload coordinate system is constructed as follows: Figure 2 As shown, the regression results show that the temperature overload probability function is Y1=0.0914×X12-1.6546×X1+8.7314, where Y1 is the temperature overload rate and X1 is TCn;

[0080] Step S302, based on the relationship between the ambient temperature and the current overload of the charging pile, combined with the cooling efficiency, an analysis is performed to obtain the influence of the ambient temperature and the cooling efficiency on the current overload of the charging pile;

[0081] Step S302 includes the following sub-steps:

[0082] Step S3021, for different charging temperature groups, obtaining historical charging data in the charging temperature groups;

[0083] Step S3022, for any historical charging data, calculate HT / L, and mark the calculation result as a duration efficiency parameter, represented by the symbol U, where L is the historical cooling efficiency and HT is the historical high temperature duration;

[0084] Step S3023, calculating the duration efficiency parameter of all historical charging data;

[0085] In the specific implementation, for any historical charging data, such as in Table 1

[0086]

[0087] Among them, the historical charging temperature is 56℃, which belongs to TC 17 Therefore, this embodiment groups the charging temperature into TC 17 This example is used to explain the specific analysis and processing process. The analysis process of other charging temperature groups is omitted; the historical cooling efficiency is 13%, the historical high temperature duration is 13 minutes, and the duration efficiency parameter U=100 is calculated, and then TC is calculated. 17 The remaining time efficiency parameters of the historical charging data are not specifically displayed in this embodiment due to the large amount of data;

[0088] Step S3024, setting the number of parameter groups, obtaining the minimum value and the maximum value of the duration efficiency parameter in the current charging temperature group, and marking them as the minimum parameter and the maximum parameter respectively;

[0089] Step S3025, calculate (max(U)-min(U)) / CF, where max(U) is the maximum parameter, min(U) is the minimum parameter, CF is the number of parameter groups, and mark the calculation result as the parameter grouping gradient, represented by the symbol CT;

[0090] In the specific implementation, since it is necessary to count the probability of overload, the statistics of single values ​​will make the density difference of the statistical results too large, so it is necessary to change to the statistics of the numerical range, and the number of parameter groups is set to manage the number of groups. Generally, the larger the number of parameter groups, the higher the accuracy of the analysis, but too large a number will also increase the density difference of the statistical results. Therefore, after long-term analysis and observation, the optimal value range of the number of parameter groups is 20 to 50. In this embodiment, the number of parameter groups is set to 20; the minimum parameter is 53, the maximum parameter is 182, and the parameter grouping gradient CT is calculated to be 6.45;

[0091] Step S3026, grouping the duration efficiency parameters in the charging temperature group, naming it as duration efficiency group, and using the symbol SX m Indicates, where m is a non-zero natural number and m is the serial number of SX;

[0092] Step S3027, each SX m Corresponding to a duration efficiency group, the duration efficiency group includes a duration efficiency range and duration efficiency parameters within the duration efficiency range;

[0093] Step S3028, for SX m , the time efficiency range is [min(U)+(m×CT)-CT,min(U)+(m×CT)];

[0094] In the specific implementation, the groups SX1 to SX 20 , m is up to 20. For SX1, the duration efficiency range is [53,59.45], for SX2, the duration efficiency range is [59.45,65.9], and so on;

[0095] Step S3029, SX m Further analysis was conducted to obtain the effects of ambient temperature and cooling efficiency on the current overload of the charging pile;

[0096] Step S3029 includes the following sub-steps:

[0097] Step S3029.1, classifying the duration efficiency parameters into corresponding duration efficiency groups according to the duration efficiency range;

[0098] Step S3029.2, counting the proportion of overload in different duration efficiency groups, and marking it as duration efficiency overload rate;

[0099] See also Figure 3 As shown, step S3029.3, with SX m A rectangular coordinate system is established with SX as the horizontal axis and the duration efficiency overload rate as the vertical axis, named the duration efficiency coordinate system. m And the corresponding duration efficiency overload rate is entered into the duration efficiency coordinate system;

[0100] Step S3029.4, performing polynomial regression on the duration efficiency coordinate system to obtain a duration efficiency overload function;

[0101] In the specific implementation, the duration efficiency group includes SX1 to SX 20 , with TC 15 For example, the duration efficiency overload rates are 18.34%, 17.33%, 17.26%, 18.12%, 17.85%, 16.95%, 16.38%, 15.42%, 14.33%, 13.21%, 11.05%, 12.38%, 13.69%, 15.58%, 17.33%, 18.38%, 19.26%, 20.58%, 20.32% and 19.98% respectively. The duration efficiency coordinate system is constructed as follows: Figure 3 As shown, the regression result shows that the time efficiency overload function is Y2=0.069×X2 2 -1.358×X2+20.98, where Y2 is the time efficiency overload rate, X2 is SX m , the time efficiency overload function obtained here is TC 15 function, each TC n There are corresponding duration efficiency overload functions.

[0102] Step S4, evaluating the charging pile based on the analysis result of the influence of the charging temperature and the cooling efficiency of the cooling system on the current overload of the charging pile; Step S4 includes the following sub-steps:

[0103] Step S401, real-time monitoring of the real-time charging temperature of the charging pile, substituting the real-time charging temperature into the charging temperature overload probability function for calculation, and obtaining the real-time temperature overload probability;

[0104] Step S402, comparing the real-time temperature overload probability with the first probability threshold, if the real-time temperature overload probability is less than the first probability threshold, outputting a normal temperature signal; if the real-time temperature overload probability is greater than or equal to the first probability threshold, outputting an abnormal temperature signal;

[0105] In the specific implementation, the real-time charging temperature is monitored to be 52°C, which is within the TC 15 Therefore, we substitute X1=15 into Y1=0.0914×X1 2-1.6546×X1+8.7314, the real-time temperature overload probability is calculated to be 4.48%, and the first probability threshold is set to 5%. Since the maximum temperature overload rate obtained by statistics is about 10%, the middle value is taken when setting the threshold; by comparison, if the temperature overload probability is less than the first probability threshold, the temperature normal signal is output;

[0106] Step S403: if a temperature abnormality signal is output, the current overload phenomenon of the charging pile is evaluated by using a time efficiency overload function;

[0107] Step S403 includes the following sub-steps:

[0108] Step S4031, marking the real-time charging temperature as high temperature, and recording the duration of the high temperature in real time, marking it as high temperature duration;

[0109] Step S4032, real-time monitoring of the cooling efficiency of the charging pile;

[0110] Step S4033, calculating the high temperature duration divided by the real-time cooling efficiency, and marking the calculation result as a real-time calculation parameter;

[0111] Step S4034, searching for the charging temperature group to which the high temperature belongs, naming it the target temperature group, substituting the real-time calculation parameters into the duration efficiency overload function of the target temperature group for calculation, and obtaining the real-time overload probability;

[0112] Step S4035, comparing the real-time overload probability with the first probability threshold, if the real-time overload probability is less than the first probability threshold, outputting a no overload danger signal; if the real-time overload probability is greater than or equal to the first probability threshold, outputting a current overload warning signal;

[0113] In the specific implementation, since no temperature abnormality signal is output, it will not be explained in detail in this embodiment.

[0114] Step S5, taking corresponding protective measures for the charging pile based on the evaluation result, controlling the charging pile to reduce the output charging current when the current overload warning signal is output, and sending a warning message to the user at the same time;

[0115] In a specific implementation, the warning information is sent to the user by means of a fault light being always on to remind the user.

[0116] Embodiment 2: This embodiment differs from Embodiment 1 in that, since the temperature anomaly signal is not output in Embodiment 1, step S403 will not be executed, while this embodiment is intended to specifically explain the specific analysis process of step S403, and therefore, the temperature anomaly signal is output in this embodiment;

[0117] Step S403: if a temperature abnormality signal is output, the current overload phenomenon of the charging pile is evaluated by using a time efficiency overload function;

[0118] Step S403 includes the following sub-steps:

[0119] Step S4031, marking the real-time charging temperature as high temperature, and recording the duration of the high temperature in real time, marking it as high temperature duration;

[0120] Step S4032, real-time monitoring of the cooling efficiency of the charging pile;

[0121] Step S4033, calculating the high temperature duration divided by the real-time cooling efficiency, and marking the calculation result as a real-time calculation parameter;

[0122] Step S4034, searching for the charging temperature group to which the high temperature belongs, naming it the target temperature group, substituting the real-time calculation parameters into the duration efficiency overload function of the target temperature group for calculation, and obtaining the real-time overload probability;

[0123] Step S4035, comparing the real-time overload probability with the second probability threshold, if the real-time overload probability is less than the second probability threshold, outputting a no overload danger signal; if the real-time overload probability is greater than or equal to the second probability threshold, outputting a current overload warning signal;

[0124] In the specific implementation, the high temperature is 52°C, which belongs to TC 15 , the monitoring shows that the high temperature duration is 19 minutes, the real-time cooling efficiency is 15%, and the real-time calculation parameter is 19 / 15%=126.67, and the calculation result is rounded to two decimal places; the target temperature group is TC 15 , TC 15 The time efficiency overload function is Y2=0.069×X2 2 -1.358×X2+20.98, the real-time calculation parameter is 126.67, which belongs to SX 12 , so substitute X2=12 into Y2=0.069×X2 2 -1.358×X2+20.98, the calculated real-time overload probability is 14.62%. The second probability threshold is set by the user. Since the calculation result represents the probability of overload of the charging pile, and the probability is the expectation, each user has different expectations, and the set second probability threshold is also different. In this embodiment, the second probability threshold is set to 10%. If the real-time overload probability is greater than the second probability threshold through comparison, the current overload warning signal is output.

[0125] Embodiment 3, the present application provides an electronic device, including a processor 601 and a memory 602, the memory 602 stores computer-readable instructions, and when the computer-readable instructions are executed by the processor 601, the steps in the above method are executed. Through the above technical solution, the processor 601 and the memory 602 are interconnected and communicate with each other through a communication bus and / or other forms of connection mechanisms (not shown), and the memory 602 stores a computer program executable by the processor 601. When the electronic device 60 is running, the processor 601 executes the computer program to execute the method in any optional implementation of the above embodiment, to execute the method in any optional implementation of the above embodiment, to achieve the following functions: collect historical charging data of the charging pile; pre-process the historical charging data to obtain pre-processed data; analyze the pre-processed data, analyze the influence of the charging temperature and the cooling efficiency of the cooling system on the current overload of the charging pile; evaluate the charging pile based on the analysis results of the influence of the charging temperature and the cooling efficiency of the cooling system on the current overload of the charging pile.

[0126] Embodiment 4, the present application provides a storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps in the above method are executed. Through the above technical solution, when the computer program is executed by the processor, the method in any optional implementation of the above embodiment is executed to achieve the following functions: collect historical charging data of the charging pile; pre-process the historical charging data to obtain pre-processed data; analyze the pre-processed data to analyze the impact of the charging temperature and the cooling efficiency of the cooling system on the current overload of the charging pile; evaluate the charging pile based on the analysis results of the impact of the charging temperature and the cooling efficiency of the cooling system on the current overload of the charging pile.

[0127] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0128] It should be understood by those skilled in the art that the embodiments of the present invention can be provided as methods, systems or computer program products. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program codes. Among them, the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Read-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, disk or optical disk. These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0129] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

Claims

1. Intelligent detection of charging pile current overload protection method, characterized in that: The steps include: Collect historical charging data of charging piles; it includes the following sub-steps: Connect data with charging pile; Establish a charging history database to collect historical charging data of the charging pile, the historical charging data includes historical charging temperature, historical high temperature duration, whether it is overloaded, and historical cooling efficiency; the historical charging temperature is the maximum temperature of the charging pile during this charging process; the historical high temperature duration is the duration of the historical charging temperature during this charging process; the historical cooling efficiency is the ratio of the temperature drop of the charging pile to the historical charging temperature; Preprocessing historical charging data to obtain preprocessed data; It includes the following sub-steps: The historical charging temperatures are grouped and named charging temperature groups, using the symbol TC n Indicates, where n is a positive integer and n is the serial number of the TC, and the charging temperature group includes the charging temperature range; Get the optimal temperature, represented by the symbol t, and set the temperature span, represented by the symbol h; The charging temperature range of TC1 is (th, t], and the charging temperature group TC n The corresponding charging temperature range is (t+n×h-2×h,t+n×hh]; The pre-processed data is a charging temperature grouping; Analyze the preprocessed data to analyze the impact of charging temperature and cooling efficiency of the cooling system on the current overload of the charging pile; it includes the following sub-steps: Analyze the charging temperature groups to determine the relationship between ambient temperature and charging pile current overload; Based on the relationship between ambient temperature and charging pile current overload, combined with the cooling efficiency, the influence of ambient temperature and cooling efficiency on charging pile current overload is obtained; The charging pile is evaluated based on the analysis results of the impact of charging temperature and cooling efficiency of the cooling system on the current overload of the charging pile; the evaluation includes the following sub-steps: Monitor the real-time charging temperature of the charging pile in real time, substitute the real-time charging temperature into the charging temperature overload probability function for calculation, and obtain the real-time temperature overload probability; The real-time temperature overload probability is compared with the first probability threshold. If the real-time temperature overload probability is less than the first probability threshold, a normal temperature signal is output; if the real-time temperature overload probability is greater than or equal to the first probability threshold, an abnormal temperature signal is output; If an abnormal temperature signal is output, the current overload phenomenon of the charging pile is evaluated through the time efficiency overload function; Take corresponding protective measures for charging piles based on the evaluation results.

2. The method for protecting charging pile current overload by intelligent detection according to claim 1, characterized in that: Analyzing the charging temperature groups and determining the relationship between the ambient temperature and the charging pile current overload includes the following sub-steps: The percentage of overloads in the charging temperature group is counted and marked as the temperature overload rate; A rectangular coordinate system is established with the charging temperature group as the X-axis and the overload rate as the Y-axis, and is named the charging temperature overload coordinate system; Enter the charging temperature groups and the temperature overload rates corresponding to the charging temperature groups into the charging temperature overload coordinate system; Polynomial regression is performed on the charging temperature overload coordinate system to obtain the charging temperature overload probability function.

3. The method for protecting charging pile current overload by intelligent detection according to claim 2, characterized in that: Based on the relationship between ambient temperature and charging pile current overload, the analysis combined with cooling efficiency includes the following sub-steps: For different charging temperature groups, obtain historical charging data in the charging temperature groups; For any historical charging data, calculate HT / L and mark the result as the duration efficiency parameter, represented by the symbol U, where L is the historical cooling efficiency and HT is the historical high temperature duration; Calculate the duration efficiency parameters of all historical charging data; Set the number of parameter groups, obtain the minimum and maximum values ​​of the duration efficiency parameters in the current charging temperature group, and mark them as the minimum parameter and the maximum parameter respectively; Calculate (max(U)-min(U)) / CF, where max(U) is the maximum parameter, min(U) is the minimum parameter, and CF is the number of parameter groups. The calculation result is marked as the parameter group gradient, which is represented by the symbol CT. The duration efficiency parameters in the charging temperature group are grouped and named as duration efficiency group, and the symbol SX m Indicates, where m is a non-zero natural number and m is the serial number of SX; Each SX m Corresponding to a duration efficiency group, the duration efficiency group includes a duration efficiency range and duration efficiency parameters within the duration efficiency range; For SX m , the time efficiency range is [min(U)+(m×CT)-CT,min(U)+(m×CT)]; For SX m Further analysis was conducted to obtain the effects of ambient temperature and cooling efficiency on the current overload of the charging pile.

4. The method for protecting charging pile current overload by intelligent detection according to claim 3 is characterized in that: For SX m Further analysis includes the following sub-steps: According to the duration efficiency range, the duration efficiency parameters are classified into corresponding duration efficiency groups; Count the proportion of overload in different duration efficiency groups, and mark it as duration efficiency overload rate; SX m A rectangular coordinate system is established with SX as the horizontal axis and the duration efficiency overload rate as the vertical axis, named the duration efficiency coordinate system. m And the corresponding duration efficiency overload rate is entered into the duration efficiency coordinate system; Perform polynomial regression on the duration-efficiency coordinate system and obtain the duration-efficiency overload function.

5. The method for protecting charging pile current overload by intelligent detection according to claim 4 is characterized in that: The evaluation of the current overload phenomenon of the charging pile by the time efficiency overload function includes the following sub-steps: Mark the real-time charging temperature as high temperature, and record the duration of the high temperature in real time, marking it as high temperature duration; Real-time monitoring of the real-time cooling efficiency of the charging pile; Calculate the duration of high temperature divided by the real-time cooling efficiency, and mark the calculation result as a real-time calculation parameter; Find the charging temperature group to which the high temperature belongs, name it the target temperature group, substitute the real-time calculation parameters into the duration efficiency overload function of the target temperature group for calculation, and obtain the real-time overload probability; The real-time overload probability is compared with the second probability threshold. If the real-time overload probability is less than the second probability threshold, a no overload danger signal is output; if the real-time overload probability is greater than or equal to the second probability threshold, a current overload warning signal is output.

6. The method for protecting charging pile current overload by intelligent detection according to claim 5, characterized in that: Based on the evaluation results, corresponding protective measures are taken for the charging pile, including controlling the charging pile to reduce the output charging current when the output current overload warning signal is given, and sending warning information to the user at the same time.

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