Charging pile fault diagnosis system

By collecting and judging electrical environment parameters in real time through the charging pile fault diagnosis system, the problem of low charging efficiency caused by charging pile failure is solved, and the safe and efficient operation of the charging process is achieved.

CN120703485APending Publication Date: 2025-09-26SHANGHAI ZHIDA TECHNOLOGY DEVELOPMENT CO LTD
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Patent Information

Application Number
CN202510810619.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-17
Publication Date
2025-09-26

AI Technical Summary

Technical Problem

When an existing charging pile fails, it usually stops charging directly, resulting in low charging efficiency and wasting user time.

Method used

A charging pile fault diagnosis system was designed, which included a data acquisition module, a fault detection module, and a fault processing module. By collecting electrical and environmental parameters in real time, it generated primary and advanced detection data, made fault level judgments, and adjusted the working status of the charging pile according to the level to ensure that the charging process was not interrupted.

Benefits of technology

While ensuring charging safety, the charging efficiency is improved, the interruption of the charging process is avoided, and autonomous fault judgment and status adjustment are achieved.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention discloses a charging pile fault diagnosis system, and the system comprises a data collection module which is used for collecting the electrical parameters and environment parameters of a charging pile in real time, and transmitting the electrical parameters and environment parameters to a fault detection module; the fault detection module is used for receiving the electrical parameters and the environmental parameters, generating primary detection data and advanced detection data according to the electrical parameters and the environmental parameters, and transmitting the primary detection data and the advanced detection data to the fault processing module; and the fault processing module is used for receiving the primary detection data and the advanced detection data, carrying out fault level judgment on the primary detection data and the advanced detection data, and controlling the working state of the charging pile according to the judgment result of the fault level. Under the condition that charging safety of the charging pile is guaranteed, it is guaranteed that the charging process is not interrupted as far as possible, and the charging efficiency of the charging pile is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of charging piles, and in particular to a charging pile fault diagnosis system. Background Art

[0002] With the rapid development of electric vehicles and charging piles, intelligent automatic error diagnosis methods need to keep up with this rapid pace. Charging piles may fail during actual operation due to equipment aging, environmental changes, or unexpected situations.

[0003] In the prior art, when an abnormality occurs in a charging pile, charging is generally stopped directly, resulting in low charging efficiency of the charging pile and wasting user time. Summary of the Invention

[0004] The present invention provides a charging pile fault diagnosis system, which ensures that the charging process is as uninterrupted as possible while ensuring the charging safety of the charging pile, thereby improving the charging efficiency of the charging pile.

[0005] According to one aspect of the present invention, a charging pile fault diagnosis system is provided, the charging pile fault diagnosis system comprising:

[0006] Data acquisition module, fault detection module and fault processing module;

[0007] The data acquisition module is connected to the fault detection module, and is used to collect electrical parameters and environmental parameters at the charging pile connection port in real time, and transmit the electrical parameters and environmental parameters to the fault detection module;

[0008] The fault detection module is connected to the fault processing module. The fault detection module is used to receive electrical parameters and environmental parameters, generate primary detection data and advanced detection data based on the electrical parameters and environmental parameters, and transmit the primary detection data and advanced detection data to the fault processing module. The primary detection data includes detection data determined based on the comparison results of the received electrical parameters and environmental parameters respectively compared with corresponding thresholds, and the advanced detection data includes detection data generated based on multiple parameter data of the electrical parameters and environmental parameters in combination with preset rules.

[0009] The fault processing module is used to receive primary detection data and advanced detection data, and to judge the fault level of the primary detection data and the advanced detection data, and to control the working state of the charging pile according to the judgment result of the fault level.

[0010] Furthermore, the fault detection module includes a primary fault detection unit and an advanced fault detection unit;

[0011] A first end of the primary fault detection unit is connected to a first end of the data acquisition module, and a second end of the primary fault detection unit is connected to a first end of the fault processing module. The primary fault detection unit is configured to receive electrical parameters and environmental parameters, compare the electrical parameters with electrical parameter thresholds, and compare the environmental parameters with environmental parameter thresholds, determine primary detection data based on the comparison results, and transmit the primary detection data to the fault processing unit.

[0012] The first end of the advanced fault detection unit is connected to the second end of the data acquisition module, and the second end of the advanced fault detection unit is connected to the second end of the fault processing unit. The advanced fault detection unit is used to receive the electrical parameters and the environmental parameters, and generate advanced detection data based on the electrical parameters and the environmental parameters, and transmit the advanced detection data to the fault processing module.

[0013] Furthermore, the advanced fault detection unit is used to:

[0014] A comprehensive anomaly index is determined based on the received electrical parameters and environmental parameters, as well as the weight value corresponding to each parameter.

[0015] Furthermore, the primary fault detection unit is further configured to:

[0016] Preprocessing the received electrical parameters and environmental parameters to generate electrical characteristic parameters and environmental characteristic parameters;

[0017] Comparing the electrical characteristic parameter with the electrical characteristic parameter threshold, and comparing the environmental characteristic parameter with the environmental characteristic parameter threshold, and determining primary detection data according to the comparison results;

[0018] The primary detection data is transmitted to the fault processing unit.

[0019] Furthermore, the fault handling module is used to:

[0020] determining a first pre-fault level of the charging pile based on the primary detection data;

[0021] determining a second pre-fault level of the charging pile based on the advanced detection data;

[0022] The current fault level of the charging pile is determined according to the first pre-fault level and the second pre-fault level, and the working state of the charging pile is controlled according to the current fault level of the charging pile.

[0023] Furthermore, the fault handling unit is further configured to:

[0024] If there is abnormal parameter data in the primary detection data, the first pre-fault level of the charging pile is determined to be a first-level fault level;

[0025] If the parameter data for detecting abnormality does not exist in the primary detection data, it is determined that the first pre-fault level of the charging pile is a no-fault level.

[0026] Furthermore, the fault handling module is also used to:

[0027] If the advanced detection data is less than or equal to the first detection threshold, determining that the second pre-fault level of the charging pile is a no-fault level;

[0028] If the advanced detection data is less than or equal to the second detection threshold and greater than the first detection threshold, determining that the second pre-fault level of the charging pile is a first-level fault level;

[0029] If the advanced detection data is less than or equal to the third detection threshold and greater than the second detection threshold, determining that the second pre-fault level of the charging pile is a second fault level;

[0030] If the advanced detection data is less than or equal to the third detection threshold, the second pre-fault level of the charging pile is determined to be a level three fault level; wherein the first detection threshold is less than the second detection threshold; and the second detection threshold is less than the third detection threshold.

[0031] Furthermore, the data acquisition module includes an insulation monitoring unit, a metering unit, a temperature and humidity detection unit, a vibration accelerometer, and a laser dust sensor;

[0032] The insulation monitoring unit, the metering unit, the temperature and humidity detection unit, the vibration accelerometer and the laser dust sensor are respectively connected to the fault detection module;

[0033] The insulation monitoring unit is used to monitor the insulation impedance parameters of the charging pile in real time and transmit the insulation impedance data to the fault detection module;

[0034] The metering unit is used to detect the charging current parameters and charging voltage parameters of the charging pile in real time, and transmit the charging current parameters and charging voltage parameters to the fault detection module;

[0035] The temperature and humidity detection unit is used to detect the ambient temperature and humidity parameters of the charging pile in real time, and transmit the temperature and humidity parameters to the fault detection module;

[0036] The vibration accelerometer is used to detect the vibration parameters of the equipment inside the charging pile in real time and transmit the equipment vibration parameters to the fault detection module;

[0037] The laser dust sensor is used to detect the dust density parameters inside the charging pile in real time and transmit the dust density parameters to the fault detection module.

[0038] Furthermore, the charging pile fault diagnosis system also includes:

[0039] Alarm module;

[0040] The alarm module is connected to the fault processing module;

[0041] The fault processing module is used to send an alarm signal to the alarm module when determining that the current fault level of the charging pile is a level three fault level, so as to control the alarm module to perform alarm processing.

[0042] Furthermore, the charging pile fault diagnosis system also includes:

[0043] Information transmission module;

[0044] The first end of the information transmission module is connected to the fault processing module, and the second end of the information transmission module is connected to the terminal. The information transmission module is used to transmit the processing data of the fault processing module to the terminal.

[0045] The charging pile fault diagnosis system provided by an embodiment of the present invention generates primary detection data and advanced detection data based on received electrical and environmental parameters through a fault detection module, and transmits the primary detection data and advanced detection data to a fault processing module. The fault processing module then determines the fault level of the primary detection data and advanced detection data, and controls the operating state of the charging pile based on the fault level determination result. This ensures that when a charging anomaly occurs, the charging pile can independently determine the fault level and adjust the charging pile's operating state accordingly. While ensuring the safety of the charging pile, the charging process is ensured to be as uninterrupted as possible, thereby improving the charging efficiency of the charging pile.

[0046] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0048] Figure 1 2 is a schematic structural diagram of a charging pile fault diagnosis system provided according to an embodiment of the present invention;

[0049] Figure 2 2 is a schematic structural diagram of another charging pile fault diagnosis system provided according to an embodiment of the present invention;

[0050] Figure 3 2 is a schematic structural diagram of another charging pile fault diagnosis system provided according to an embodiment of the present invention;

[0051] Figure 4 2 is a schematic structural diagram of another charging pile fault diagnosis system provided according to an embodiment of the present invention;

[0052] Figure 5 2 is a schematic structural diagram of another charging pile fault diagnosis system provided according to an embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described 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 making creative efforts should fall within the scope of protection of the present invention.

[0054] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0055] The embodiment of the present invention provides a charging pile fault diagnosis system, Figure 1 This is a schematic diagram of the structure of a charging pile fault diagnosis system provided by an embodiment of the present invention, with reference to Figure 1 , the charging pile fault diagnosis system includes:

[0056] Data acquisition module 1, fault detection module 2 and fault processing module 3;

[0057] The data acquisition module 1 is connected to the fault detection module 2. The data acquisition module 1 is used to collect the electrical parameters and environmental parameters of the charging pile in real time and transmit the electrical parameters and environmental parameters to the fault detection module 2;

[0058] The fault detection module 2 is connected to the fault processing module 3. The fault detection module 2 is used to receive electrical parameters and environmental parameters, generate primary detection data and advanced detection data based on the electrical parameters and environmental parameters, and transmit the primary detection data and advanced detection data to the fault processing module 3. The primary detection data includes detection data determined based on the comparison results of the received electrical parameters and environmental parameters respectively compared with corresponding thresholds, and the advanced detection data includes detection data generated based on multiple parameter data of the electrical parameters and environmental parameters in combination with preset rules.

[0059] The fault processing module 3 is used to receive primary detection data and advanced detection data, perform fault level judgment on the primary detection data and the advanced detection data, and control the working state of the charging pile according to the judgment result of the fault level.

[0060] The electrical parameters include the charging current, charging voltage, and insulation resistance parameters of the charging pile, while the environmental parameters include the temperature, humidity, vibration, and dust density parameters within the charging pile. The data acquisition module 1 can be connected to the charging pile via a CAN bus. For example, the electrical and environmental parameters collected by the data acquisition module 1 can be read in real time at a sampling frequency of 1 kHz to ensure millisecond-level sensing and control.

[0061] Specifically, the data acquisition module 1 may be equipped with multiple data acquisition sensors as needed to detect the electrical and environmental parameters of the charging pile in real time, and transmit the electrical and environmental parameters to the fault detection module 2. Upon receiving the electrical and environmental parameters transmitted by the data acquisition module 1, the fault detection module 2 first performs primary fault detection on the electrical and environmental parameters. For example, the detected electrical parameters may be compared with a set electrical parameter threshold, and the detected environmental parameters may be compared with a set environmental parameter threshold. Based on the comparison results, the electrical and environmental parameters are determined to contain abnormalities, and primary detection data is generated. Alternatively, the electrical and environmental parameters may be pre-processed to generate electrical and environmental characteristic parameters, and the generated electrical and environmental characteristic parameters are compared with the electrical and environmental characteristic parameter thresholds. The environmental characteristic parameters are also compared with the environmental characteristic parameter thresholds. Based on the comparison results, the electrical and environmental parameters are determined to contain abnormalities, and primary detection data is generated. Subsequently, advanced detection data may be generated based on the electrical and environmental parameters in combination with preset rules, wherein the preset rules include calculation rules based on the electrical and environmental parameters and their corresponding weighted proportions. The generated primary detection data and advanced detection data are transmitted to the fault processing module 3, which determines the fault level of the primary detection data and the advanced detection data, and controls the working state of the charging pile according to the fault level judgment result. For example, the first pre-fault level of the charging pile can be determined based on the primary detection data; and the second pre-fault level of the charging pile can be determined based on the advanced detection data; then the current fault level of the charging pile can be determined based on the first pre-fault level and the second pre-fault level, and the working state of the charging pile can be controlled according to the current fault level of the charging pile. Among them, the parameter threshold can be calibrated in real time according to the actual situation. For example, taking the voltage threshold as an example, when the external ambient temperature changes by 5°C, the current voltage threshold can be compensated by a compensation function to achieve real-time adjustment of the voltage threshold according to the change in the external ambient temperature.

[0062] The charging pile fault diagnosis system provided by the embodiment of the present invention generates primary detection data and advanced detection data based on received electrical parameters and environmental parameters through fault detection module 2, and transmits the primary detection data and advanced detection data to fault processing module 3. Fault processing module 3 then determines the fault level of the primary detection data and advanced detection data, and controls the operating state of the charging pile based on the fault level determination result. This ensures that when a charging anomaly occurs, the charging pile can independently determine the fault level and adjust the charging pile's operating state accordingly. While ensuring the safety of charging at the charging pile, the charging process is ensured to be as uninterrupted as possible, thereby improving the charging efficiency of the charging pile.

[0063] Further, Figure 2This is a schematic diagram of another charging pile fault diagnosis system provided by an embodiment of the present invention, referring to Figure 2 , the fault detection module includes a primary fault detection unit 21 and an advanced fault detection unit 22;

[0064] A first end of the primary fault detection unit 21 is connected to a first end of the data acquisition module 1, and a second end of the primary fault detection unit 21 is connected to a first end of the fault processing module 3. The primary fault detection unit 21 is configured to receive electrical parameters and environmental parameters, compare the electrical parameters with electrical parameter thresholds, and simultaneously compare the environmental parameters with environmental parameter thresholds, determine primary detection data based on the comparison results, and transmit the primary detection data to the fault processing unit 3.

[0065] The first end of the advanced fault detection unit 22 is connected to the second end of the data acquisition module 1, and the second end of the advanced fault detection unit 22 is connected to the second end of the fault processing unit 3. The advanced fault detection unit 22 is used to receive electrical parameters and environmental parameters, and generate advanced detection data based on the electrical parameters and environmental parameters, and transmit the advanced detection data to the fault processing module 3.

[0066] Specifically, after receiving the electrical parameters and environmental parameters, the primary fault detection unit 21 compares each parameter data in the electrical parameters with its corresponding parameter threshold value, and simultaneously compares each parameter data in the environmental parameters with its corresponding parameter threshold value to determine abnormal parameters and non-abnormal parameters, and determines primary detection data based on the comparison results, and transmits the primary detection data to the fault processing unit 3. After receiving the electrical parameters and environmental parameters, the advanced fault detection unit 22 determines advanced detection data based on multiple parameter data in the electrical parameters and environmental parameters in combination with preset rules, and transmits the advanced detection data to the fault processing unit 3.

[0067] Furthermore, the advanced fault detection unit is used to:

[0068] A comprehensive anomaly index is determined based on the received electrical parameters and environmental parameters, as well as the weight value corresponding to each parameter.

[0069] Specifically, a comprehensive abnormality index can be calculated based on the sum of the products of multiple parameter data in the electrical parameters and environmental parameters in the primary detection data and their corresponding weight values, so as to determine whether the charging pile has an abnormality based on the comprehensive abnormality index. Among them, the selection of parameter data in the electrical parameters and environmental parameters can be set according to actual conditions. Taking the charging current parameters and ambient temperature parameters in the primary detection data as an example, when no abnormal parameters appear in the primary detection data, the comprehensive abnormality index can be determined based on the charging current parameters and their corresponding weight values, as well as the ambient temperature parameters and their corresponding weight values. For example, the calculation formula of the comprehensive abnormality index is as follows:

[0070]

[0071] Among them, a1 is the weight value corresponding to the charging current parameter; a2 is the weight value corresponding to the ambient temperature parameter; △I is the difference between the current at the current sampling moment and the current at the last stable moment; Inom is the nominal current under the current charging gear; △T is the difference between the current temperature and the temperature at the last stable moment; △Tmax is the maximum temperature fluctuation allowed under normal operating conditions.

[0072] It can be understood as normalizing the charging current fluctuation amplitude into a relative proportion to eliminate the dimensional differences between different charging gears. This can be understood as normalizing ambient temperature fluctuations to a ratio between 0 and 1, used to measure the degree of temperature change. The coefficients a1 and a2 assign different weights to the charging current and ambient temperature, respectively. Because current fluctuations are more sensitive to faults, while temperature fluctuations are less indicative of immediate faults, a1 can be set larger than a2. The final comprehensive anomaly index E typically ranges from 0 to 1, with values ​​closer to 1 indicating a higher degree of anomaly and closer to 0 indicating a lower degree of anomaly.

[0073] Furthermore, the primary fault detection unit is further configured to:

[0074] Preprocessing the received electrical parameters and environmental parameters to generate electrical characteristic parameters and environmental characteristic parameters;

[0075] Comparing the electrical characteristic parameter with the electrical characteristic parameter threshold, and comparing the environmental characteristic parameter with the environmental characteristic parameter threshold, and determining primary detection data according to the comparison results;

[0076] The primary detection data is transmitted to the fault processing unit.

[0077] Specifically, the received electrical parameters and environmental parameters can be directly preprocessed to generate electrical characteristic parameters and environmental characteristic parameters, which can be understood as performing calculations on the mean, variance, range, slope, etc. of the received electrical parameters and environmental parameters to generate electrical characteristic parameters and environmental characteristic parameters; or after comparing the electrical parameters with the electrical parameter threshold and the environmental parameters with the environmental parameter threshold, the received electrical parameters and environmental parameters can be preprocessed to generate electrical characteristic parameters and environmental characteristic parameters, and the generated electrical characteristic parameters can be compared with the electrical characteristic parameter threshold and the environmental characteristic parameters can be compared with the environmental characteristic parameter threshold to determine abnormal parameters and non-abnormal parameters, and primary detection data can be determined based on the comparison results, and the primary detection data can be transmitted to the fault processing unit 3.

[0078] Furthermore, the fault handling module is used to:

[0079] determining a first pre-fault level of the charging pile based on the primary detection data;

[0080] determining a second pre-fault level of the charging pile based on the advanced detection data;

[0081] The current fault level of the charging pile is determined according to the first pre-fault level and the second pre-fault level, and the working state of the charging pile is controlled according to the current fault level of the charging pile.

[0082] Specifically, in the process of determining the first pre-fault level of the charging pile based on the primary detection data, if the primary detection data contains parameter data that detects an abnormality, the first pre-fault level of the charging pile is determined to be a level one fault level; if the primary detection data does not contain parameter data that detects an abnormality, the first pre-fault level of the charging pile is determined to be a level no fault level. In the process of determining the second pre-fault level of the charging pile based on the advanced detection data, if the advanced detection data is less than or equal to the first detection threshold, the second pre-fault level of the charging pile is determined to be a level no fault level; if the advanced detection data is less than or equal to the second detection threshold and greater than the first detection threshold, the second pre-fault level of the charging pile is determined to be a level one fault level; if the advanced detection data is less than or equal to the third detection threshold and greater than the second detection threshold, the second pre-fault level of the charging pile is determined to be a level two fault level; and if the advanced detection data is less than or equal to the third detection threshold, the second pre-fault level of the charging pile is determined to be a level three fault level. The current fault level of the charging pile is then determined based on the maximum fault level of the first pre-fault level and the second pre-fault level, and the operating state of the charging pile is controlled based on the current fault level of the charging pile. For example, if the current fault level of the charging pile is the no-fault level, the charging pile is controlled to continue operating at the current charging power. If the current fault level of the charging pile is the first fault level, the charging pile is controlled to continue operating at the set charging power value and automatically restart. After the charging pile automatically restarts, the fault level of the charging pile is re-determined. If the current fault level of the charging pile is the second fault level, the charging pile is controlled to limit power. For example, the charging power can be limited to 70% of the charging power setting value and the current can be limited to 50%-70% of the charging current. If the current fault level of the charging pile is the third fault level, the charging pile is controlled to be powered off and an alarm is issued.

[0083] Furthermore, the fault handling unit is further configured to:

[0084] If there is abnormal parameter data in the primary detection data, the first pre-fault level of the charging pile is determined to be a first-level fault level;

[0085] If the parameter data for detecting abnormality does not exist in the primary detection data, it is determined that the first pre-fault level of the charging pile is a no-fault level.

[0086] Specifically, if there is parameter data with abnormal detection in the primary detection data, it can be determined that the current fault level of the charging pile is low, and then the first pre-fault level of the charging pile is determined to be the first fault level. If there is no parameter data with abnormal detection in the primary detection data, it means that the charging pile is operating well and no intervention is required. At this time, the first pre-fault level of the charging pile can be determined to be the no-fault level.

[0087] Furthermore, the fault handling module is also used to:

[0088] If the advanced detection data is less than or equal to the first detection threshold, determining that the second pre-fault level of the charging pile is a no-fault level;

[0089] If the advanced detection data is less than or equal to the second detection threshold and greater than the first detection threshold, determining that the second pre-fault level of the charging pile is a first-level fault level;

[0090] If the advanced detection data is less than or equal to the third detection threshold and greater than the second detection threshold, determining that the second pre-fault level of the charging pile is a second fault level;

[0091] If the advanced detection data is less than or equal to the third detection threshold, the second pre-fault level of the charging pile is determined to be a level three fault level; wherein the first detection threshold is less than the second detection threshold; and the second detection threshold is less than the third detection threshold.

[0092] Specifically, if the advanced detection data is less than or equal to the first detection threshold, it indicates that the charging pile is operating well and no intervention is required, and the second pre-fault level of the charging pile is determined to be a no-fault level. If the advanced detection data is less than or equal to the second detection threshold and greater than the first detection threshold, it can be determined that the current fault level of the charging pile is low, and the second pre-fault level of the charging pile is determined to be a first-level fault level. If the advanced detection data is less than or equal to the third detection threshold and greater than the second detection threshold, it can be determined that the current fault level of the charging pile is high, and the second pre-fault level of the charging pile is determined to be a second-level fault level. If the advanced detection data is less than or equal to the third detection threshold, it can be determined that the current fault level of the charging pile is too high, and the second pre-fault level of the charging pile is determined to be a third-level fault level. The first detection threshold, the second detection threshold, and the third detection threshold can be set according to actual conditions.

[0093] Further, Figure 3 This is a structural diagram of another charging pile fault diagnosis system provided according to an embodiment of the present invention, referring to Figure 3 , the data acquisition module includes an insulation monitoring unit 11, a metering unit 12, a temperature and humidity detection unit 13, a vibration accelerometer 14 and a laser dust sensor 15;

[0094] The insulation monitoring unit 11, the metering unit 12, the temperature and humidity detection unit 13, the vibration accelerometer 14 and the laser dust sensor 15 are respectively connected to the fault detection module 2;

[0095] The insulation monitoring unit 11 is used to monitor the insulation impedance parameters of the charging pile in real time and transmit the insulation impedance data to the fault detection module 2;

[0096] The metering unit 12 is used to detect the charging current parameters and charging voltage parameters of the charging pile in real time, and transmit the charging current parameters and charging voltage parameters to the fault detection module 2;

[0097] The temperature and humidity detection unit 13 is used to detect the ambient temperature and humidity parameters of the charging pile in real time, and transmit the temperature and humidity parameters to the fault detection module 2;

[0098] The vibration accelerometer 14 is used to detect the device vibration parameters inside the charging pile in real time and transmit the device vibration parameters to the fault detection module 2;

[0099] The laser dust sensor 15 is used to detect the dust density parameters inside the charging pile in real time and transmit the dust density parameters to the fault detection module 2.

[0100] Specifically, if the insulation impedance detected by the insulation monitoring unit 11 is less than 500kΩ, it means that there is an abnormality in the insulation impedance of the charging pile. The metering chip in the metering unit 12 can adopt a 0.5-level high-precision metering chip, such as the TIINA226 chip or the ADIADE7953 series chip, with a measurement range of 200–1000VDC, supporting three-in-one acquisition of voltage, current and active power. The temperature and humidity detection unit 13 is used to monitor the external ambient temperature and external ambient humidity of the charging pile in real time to avoid the impact of the external environment on the performance of electrical components. The vibration accelerometer 14 is used to capture equipment vibration and mechanical shock to warn of potential looseness or wear of components in the charging pile. The laser dust sensor 15 is used to detect the air quality inside and outside the cabinet to achieve early warning of heat dissipation and insulation problems caused by dust accumulation.

[0101] Further, Figure 4 This is a schematic diagram of the structure of another charging pile fault diagnosis system provided according to an embodiment of the present invention, referring to Figure 4 , the charging pile fault diagnosis system also includes:

[0102] Alarm module 4;

[0103] The alarm module 4 is connected to the fault processing module 3;

[0104] The fault processing module 3 is used to send an alarm signal to the alarm module 4 when determining that the current fault level of the charging pile is the third fault level, so as to control the alarm module 4 to perform alarm processing.

[0105] Specifically, when it is determined that the current fault level of the charging pile is level three, the alarm module 4 is controlled to perform alarm processing to remind the on-site user that the current charging pile has a serious fault, so that the user can promptly select other normal charging piles for charging.

[0106] Further, Figure 5 This is a schematic diagram of another charging pile fault diagnosis system provided by an embodiment of the present invention, referring to Figure 5 , the charging pile fault diagnosis system also includes:

[0107] Information transmission module 5;

[0108] A first end of the information transmission module 5 is connected to the fault processing module 3 , and a second end of the information transmission module 5 is connected to the terminal 6 . The information transmission module 5 is used to transmit the processed data of the fault processing module 3 to the terminal 6 .

[0109] Among them, the terminal 6 can be a vehicle-mounted receiving system, a mobile terminal, etc., and the embodiment of the present invention does not limit this. Exemplarily, the processing data of the fault processing module 3 can be transmitted to the vehicle-mounted receiving system through the information transmission module 5, so that the fault code and QR code can be displayed on the vehicle display screen, and the user can obtain the processing guide by scanning the QR code; the processing data of the fault processing module 3 can also be transmitted to the user's mobile phone APP through the information transmission module 5, so that the processing data of the charging pile can be directly viewed through the mobile phone APP. At the same time, the fault processing module 3 can also upload the processed data to the cloud through the information transmission module 5 for big data analysis, so as to continuously optimize the fault detection algorithm and fault diagnosis algorithm, and enhance the self-learning ability of the system. At the same time, the design and maintenance of the charging pile can also be optimized through the data analysis results, thereby improving the reliability of the charging pile. Exemplarily, the received data can be analyzed in real time through the LSTM timing model and the dynamic fault tree model.

[0110] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

[0111] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A charging pile fault diagnosis system, characterized in that: include: Data acquisition module, fault detection module and fault processing module; The data acquisition module is connected to the fault detection module, and the data acquisition module is used to collect electrical parameters and environmental parameters of the charging pile in real time, and transmit the electrical parameters and the environmental parameters to the fault detection module; The fault detection module is connected to the fault processing module, and is configured to receive the electrical parameters and the environmental parameters, generate primary detection data and advanced detection data based on the electrical parameters and the environmental parameters, and transmit the primary detection data and the advanced detection data to the fault processing module; wherein the primary detection data includes detection data determined based on the comparison results obtained by comparing the received electrical parameters and the environmental parameters with corresponding thresholds, and the advanced detection data includes detection data generated based on multiple parameter data of the electrical parameters and the environmental parameters in combination with preset rules; The fault processing module is used to receive the primary detection data and the advanced detection data, perform fault level judgment on the primary detection data and the advanced detection data, and control the working state of the charging pile according to the judgment result of the fault level.

2. The charging pile fault diagnosis system according to claim 1, characterized in that: The fault detection module includes a primary fault detection unit and an advanced fault detection unit; The first end of the primary fault detection unit is connected to the first end of the data acquisition module, and the second end of the primary fault detection unit is connected to the first end of the fault processing module. The primary fault detection unit is used to receive the electrical parameter and the environmental parameter, and compare the electrical parameter with the electrical parameter threshold, and compare the environmental parameter with the environmental parameter threshold, determine the primary detection data according to the comparison result, and transmit the primary detection data to the fault processing unit; The first end of the advanced fault detection unit is connected to the second end of the data acquisition module, and the second end of the advanced fault detection unit is connected to the second end of the fault processing unit. The advanced fault detection unit is used to receive the electrical parameters and the environmental parameters, and generate advanced detection data based on the electrical parameters and the environmental parameters, and transmit the advanced detection data to the fault processing module.

3. The charging pile fault diagnosis system according to claim 2, characterized in that: The advanced fault detection unit is used to: A comprehensive abnormality index is determined based on the received electrical parameters and environmental parameters, and a weight value corresponding to each parameter.

4. The charging pile fault diagnosis system according to claim 2, characterized in that: The primary fault detection unit is further configured to: Preprocessing the received electrical parameters and environmental parameters to generate electrical characteristic parameters and environmental characteristic parameters; Comparing the electrical characteristic parameter with an electrical characteristic parameter threshold, and comparing the environmental characteristic parameter with an environmental characteristic parameter threshold, and determining the primary detection data according to the comparison results; The primary detection data is transmitted to the fault processing unit.

5. The charging pile fault diagnosis system according to claim 1, characterized in that: The fault processing module is used to: determining a first pre-failure level of the charging pile connection port according to the primary detection data; determining a second pre-failure level of the charging pile connection port according to the advanced detection data; The current fault level of the charging pile connection port is determined according to the first pre-fault level and the second pre-fault level, and the working state of the charging pile connection port is controlled according to the current fault level of the charging pile connection port.

6. The charging pile fault diagnosis system according to claim 5, characterized in that: The fault processing unit is further configured to: If parameter data indicating abnormality is present in the primary detection data, determining that the first pre-fault level of the charging pile is a first-level fault level; If the parameter data for detecting abnormality does not exist in the primary detection data, it is determined that the first pre-fault level of the charging pile is a no-fault level.

7. The charging pile fault diagnosis system according to claim 5, characterized in that: The fault processing module is further configured to: If the advanced detection data is less than or equal to a first detection threshold, determining that the second pre-fault level of the charging pile is a no-fault level; If the advanced detection data is less than or equal to a second detection threshold and greater than the first detection threshold, determining that the second pre-fault level of the charging pile is a first-level fault level; If the advanced detection data is less than or equal to a third detection threshold and greater than a second detection threshold, determining that the second pre-fault level of the charging pile is a second fault level; If the advanced detection data is less than or equal to a third detection threshold, the second pre-fault level of the charging pile is determined to be a level three fault level; wherein the first detection threshold is less than the second detection threshold; and the second detection threshold is less than the third detection threshold.

8. The charging pile fault diagnosis system according to claim 2, characterized in that: The data acquisition module includes an insulation monitoring unit, a metering unit, a temperature and humidity detection unit, a vibration accelerometer and a laser dust sensor; The insulation monitoring unit, the metering unit, the temperature and humidity detection unit, the vibration accelerometer and the laser dust sensor are respectively connected to the fault detection module; The insulation monitoring unit is used to monitor the insulation impedance parameters of the charging pile in real time and transmit the insulation impedance data to the fault detection module; The metering unit is used to detect the charging current parameters and charging voltage parameters of the charging pile in real time, and transmit the charging current parameters and the charging voltage parameters to the fault detection module; The temperature and humidity detection unit is used to detect the ambient temperature parameters and ambient humidity parameters of the charging pile in real time, and transmit the temperature parameters and the humidity parameters to the fault detection module; The vibration accelerometer is used to detect the device vibration parameters inside the charging pile in real time and transmit the device vibration parameters to the fault detection module; The laser dust sensor is used to detect the dust density parameters inside the charging pile in real time and transmit the dust density parameters to the fault detection module.

9. The charging pile fault diagnosis system according to claim 1, characterized in that: Also includes: Alarm module; The alarm module is connected to the fault processing module; The fault processing module is used to send an alarm signal to the alarm module when determining that the current fault level of the charging pile is a level three fault level, so as to control the alarm module to perform alarm processing.

10. The charging pile fault diagnosis system according to claim 1, characterized in that: Also includes: Information transmission module; The first end of the information transmission module is connected to the fault processing module, and the second end of the information transmission module is connected to the terminal. The information transmission module is used to transmit the processing data of the fault processing module to the terminal.

Citation Information

Cited By

  • Charging pile fault safety test method, system, medium and equipment

    CN121090972A