Charging pile charging abnormity detection method

Abstract

The invention discloses a charging pile charging abnormity detection method, and relates to the technical field of charging piles, and the method comprises the following steps: data collection, charging pile function detection, charging data analysis, calculation to obtain a voltage deviation ratio VF and a current fluctuation ratio IR of a charging pile, and charging abnormity detection. The health state of the charging pile is evaluated in combination with the voltage deviation ratio VF and the current fluctuation ratio IR, a health index H is obtained, then abnormity evaluation is performed on the charging pile in combination with the health index H, an abnormity score S is obtained, and an early warning mechanism is set, so that the health index H is obtained through calculation in combination with the voltage deviation ratio VF and the current fluctuation ratio IR. The health index H is combined to calculate the abnormity score S, multiple factors are comprehensively considered, the comprehensiveness and accuracy of charging abnormity detection of the charging pile are improved, the result is quantified, the abnormity detection result is more visual, the actual operation condition and the health degree of the charging pile can be accurately reflected, and the follow-up maintenance operation effect of workers is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of charging piles, and in particular to a method for detecting abnormal charging of a charging pile. Background Art

[0003] At present, the abnormal charging detection method of charging piles usually only judges based on the charging efficiency, ignoring other factors that affect the performance of the charging piles, resulting in one-sided detection results. In addition, there is a lack of quantitative evaluation standards for charging piles, which cannot accurately reflect the actual operating status and health of the charging piles, affecting the subsequent maintenance operations of the staff. Summary of the invention

[0004] The purpose of the present invention is to provide a method for detecting abnormal charging of a charging pile, which solves the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a charging pile charging anomaly detection method, comprising the following steps: Data collection: Install sensors and monitoring equipment on charging piles to collect charging pile data in real time; Charging pile function test: before formal charging, insert the charging gun and start charging, then simulate stopping the charging operation to check whether the charging pile responds normally, test whether the communication between the charging pile and the background management system and the vehicle is smooth, and confirm that the data transmission is correct; Charging data analysis: Based on the collected charging pile data, the voltage deviation rate VF and current fluctuation rate IR of the charging pile are calculated; Charging anomaly detection: Based on the collected charging pile data, the health status of the charging pile is evaluated in combination with the voltage deviation rate VF and the current fluctuation rate IR to obtain the health index H. The charging pile is then evaluated for anomalies in combination with the health index H to obtain an anomaly score S. A threshold for the anomaly score S is set and whether an anomaly occurs is determined based on the threshold. Set up an early warning mechanism to record relevant data when an abnormality occurs and notify administrators and users through monitoring devices.

[0006] Optionally, the voltage deviation rate VF is calculated as follows: ; Where VF is the voltage deviation rate; is the actual measured voltage; It is the standard voltage; The calculation formula of current fluctuation rate IR is: ; Where IR is the current fluctuation rate; is the current standard deviation; is the average current; By calculating the voltage deviation rate VF and current fluctuation rate IR of the charging pile, the stability of the charging pile voltage and the fluctuation of the current can be obtained.

[0007] Optionally, in the charging abnormality detection step, the health index H is calculated using the following formula: ; Where H is the health index; VF is the voltage deviation rate; IR is the current fluctuation rate; is the ambient temperature; is the maximum operating temperature; is the aging degree of the charging pile; Where D is the usage time of the charging pile; Is the service life of the charging pile; W is The influence coefficient, W, is taken as 0.9; The health index H evaluates the overall health status of the charging pile by combining the charging pile data, voltage deviation rate VF and current fluctuation rate IR, improving the comprehensiveness and accuracy of abnormality detection. When the health index H is greater than 80%, it is in a high health state; when the health index H is greater than 60% and less than 80%, it is in a medium health state; when the health index H is less than 60%, it is in a low health state.

[0008] Optionally, in the charging anomaly detection step, the calculation formula of the anomaly score S is: ; Where S is the anomaly score; H is the health index; is the charging efficiency; in is the actual charge capacity, is the standard charge amount; is the communication failure rate; in is the number of communication failures, is the total number of communications; is the influence coefficient of health index H; is the charging efficiency influence coefficient; and The value range is between 0 and 1; The smaller the value of the abnormality score S is, the higher the abnormality risk of the charging pile is. The threshold of the abnormality score S is set to 0.6. When the abnormality score S is less than 0.6, the charging pile is judged to be in an abnormal state; When the abnormality score S is less than 0.6 and the health index H is greater than 80%, it indicates that the charging efficiency is There are problems and charging efficiency Affected by the aging of charging piles Influence, at this time the W value in the health index H calculation formula changes, specifically: ; When the anomaly score S is less than 0.6 and the health index H is greater than 80%, the W value decreases as the anomaly score S decreases, thereby changing the subsequent charging pile health index H and achieving the effect of optimizing the charging pile charging anomaly detection.

[0009] Optionally, the charging pile function detection step also includes safety detection and compatibility detection.

[0010] Optionally, the safety test includes simulating overcurrent conditions, checking whether the charging pile can cut off the power supply in time to protect the safety of equipment and users, checking whether the charging pile can trigger the over-temperature protection mechanism, using a leakage tester to detect whether the leakage protection function of the charging pile is effective, and compatibility testing by connecting the charging pile with electric vehicles of different brands and models to check whether the charging process is smooth and confirm the compatibility of the charging pile.

[0011] Optionally, when the charging pile is in a high health state, maintain a normal monitoring frequency; when the charging pile is in a medium health state, increase the monitoring frequency of the charging pile, and pay close attention to the changing trend of its key data; when the charging pile is in a low health state, there may be serious safety hazards in the charging pile. Stop using it immediately, organize a professional team to carry out emergency repairs on the charging pile, notify affected users, and explain the current condition of the charging pile and the estimated recovery time.

[0012] Optionally, the monitoring device in the data collection step includes a communication system, and the communication system is used to transmit charging pile data information to administrators and users.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention obtains the voltage deviation rate VF and the current fluctuation rate IR of the charging pile by calculation, thereby obtaining the stability of the charging pile voltage and the fluctuation of the current, and calculates the health index H based on the collected charging pile data in combination with the voltage deviation rate VF and the current fluctuation rate IR, and divides the charging pile into different health states according to the health index H for subsequent maintenance work.

[0014] 2. The present invention combines the health index H to calculate the abnormality score S, improves the comprehensiveness and accuracy of the charging pile charging anomaly detection, and quantifies the results, so that the abnormality detection results are more intuitive, can accurately reflect the actual operating status and health level of the charging pile, and are convenient for subsequent maintenance operations by staff. The health index H is calculated based on the voltage deviation rate VF and the current fluctuation rate IR. At the same time, the abnormality score S will affect the data in the health index H calculation formula, and vice versa, so that the above-mentioned algorithm formulas are interconnected and influence each other, and jointly improve the charging anomaly detection effect of the charging pile. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0016] Regarding the charging anomaly detection method for charging piles, it is different from the existing charging anomaly detection method for charging piles. The existing charging anomaly detection method for charging piles lacks quantitative evaluation standards for the data during the use of charging piles, and does not consider the changing trends and mutual influences between the charging pile data, resulting in insufficient accuracy and sensitivity of anomaly detection, and reducing the charging anomaly detection effect of charging piles. This method calculates the health index H by combining the voltage deviation rate VF and the current fluctuation rate IR, and then calculates the specific anomaly score S value in combination with the health index H to achieve the effect of quantitative evaluation, comprehensively consider multiple factors, and the mutual influence between algorithms, so as to improve the comprehensiveness and accuracy of charging anomaly detection of charging piles.

[0017] 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.

[0018] For examples, see Figure 1 This embodiment provides a charging pile charging anomaly detection method, comprising the following steps: Install sensors and monitoring equipment on charging piles to collect charging pile data in real time; The monitoring device in the data collection step includes a communication system, which is used to transmit the charging pile data information to the administrator and the user. By setting the monitoring device, the user and the administrator can understand the charging status of the charging pile in real time, and can take timely countermeasures when an abnormality occurs, thereby reducing the loss caused by the abnormality of the charging pile; Charging pile function test: insert the charging gun and start charging, then simulate stopping the charging operation, check whether the charging pile responds normally, test whether the communication between the charging pile and the background management system and the vehicle is smooth, and confirm that the data transmission is correct; Charging data analysis: Based on the collected charging pile data, the voltage deviation rate VF and current fluctuation rate IR of the charging pile are calculated; Charging anomaly detection: Based on the collected charging pile data, the health status of the charging pile is evaluated in combination with the voltage deviation rate VF and the current fluctuation rate IR to obtain the health index H. The charging pile is then detected for anomalies in combination with the health index H to obtain the anomaly score S. A threshold for the anomaly score S is set and the threshold is used to determine whether an anomaly occurs. If no anomaly occurs, charging is normal. Set up an early warning mechanism to record relevant data when an abnormality occurs and notify administrators and users through monitoring devices.

[0019] More specifically, first, by installing sensors and monitoring equipment on the charging pile, it is convenient for staff and users to understand the situation of the charging pile in real time. When an abnormality occurs, users and maintenance personnel can be notified in time to handle it, and the charging pile function is tested to ensure that subsequent charging abnormality detection can be carried out steadily. Then, various data of the charging pile are collected through sensors, and the voltage deviation rate VF and current fluctuation rate IR of the charging pile are calculated to evaluate the power stability of the charging pile. The health index H is calculated based on the collected charging pile data in combination with the voltage deviation rate VF and the current fluctuation rate IR. The abnormality score S is calculated in combination with the health index H. Taking multiple factors into consideration, the comprehensiveness and accuracy of the charging pile charging abnormality detection are improved, and the results are quantified, so that the abnormality detection results are more intuitive, which can accurately reflect the actual operating status and health of the charging pile, and facilitate subsequent maintenance operations by staff.

[0020] Furthermore, the voltage deviation rate VF is calculated as follows: ; Where VF is the voltage deviation rate; is the actual measured voltage; It is the standard voltage. The battery voltage of new energy vehicles depends on the model. The battery pack voltage of low-speed electric vehicles is usually 48V, 60V or 72V, and the battery pack voltage of high-speed electric vehicles is between 380V and 560V. The calculation formula of current fluctuation rate IR is: ; Where IR is the current fluctuation rate; is the current standard deviation; is the average current; By calculating the voltage deviation rate VF and current fluctuation rate IR of the charging pile, the stability of the charging pile voltage and the fluctuation of the current can be obtained.

[0021] Specifically, by calculating the voltage deviation rate VF, we can intuitively understand the stability of the output voltage of the charging pile and evaluate whether the power quality meets the standards. A large voltage deviation rate VF may mean that there is a fault in the equipment or the grid is unstable, and it may cause damage to the electrical equipment or even cause a safety accident, requiring timely maintenance or adjustment. By calculating the current fluctuation rate IR, we can evaluate the stability of the output current of the charging pile and determine whether its power supply is reliable. The allowable fluctuation range of the current fluctuation rate IR is plus or minus 5% of the rated current.

[0022] Furthermore, in the charging abnormality detection step, the health index calculation WD formula is as follows: ; Where H is the health index; VF is the voltage deviation rate; IR is the current fluctuation rate; is the ambient temperature; is the maximum operating temperature; is the aging degree of the charging pile; Where D is the usage time of the charging pile; Is the service life of the charging pile; W is The influence coefficient, W, is taken as 0.9; The health index H of the charging pile is calculated, and the overall health status of the charging pile is evaluated through multiple data when the charging pile is in use. This is more accurate and comprehensive than analyzing a single data alone. When the health index H is greater than 80%, it is in a high health state; when the health index H is greater than 60% and less than 80%, it is in a medium health state; and when the health index H is less than 60%, it is in a low health state.

[0023] Specifically, the health index H is calculated by combining the voltage deviation rate VF and the current fluctuation rate IR as well as other factors affecting the charging performance of the charging pile, thereby improving the accuracy and sensitivity of abnormal charging detection of the charging pile. At the same time, different health states are divided according to different ranges of the health index H, making the health state of the charging pile more intuitive and easy to understand, providing an important basis for subsequent maintenance decisions of the charging pile.

[0024] Furthermore, in the charging anomaly detection step, the calculation formula of the anomaly score S is: ; Where S is the anomaly score; H is the health index; It is the charging efficiency, which can intuitively indicate the charging effect of the charging pile; in is the actual charge capacity, is the standard charge amount; is the communication failure rate; in is the number of communication failures, is the total number of communications; is the influence coefficient of health index H; is the charging efficiency influence coefficient; and The value range is between 0 and 1; The smaller the value of the abnormality score S is, the higher the abnormality risk of the charging pile is. The threshold of the abnormality score S is set to 0.6. When the abnormality score S is less than 0.6, the charging pile is judged to be in an abnormal state; When the abnormality score S is less than 0.6 and the health index H is greater than 80%, it indicates that the charging efficiency is There are problems and charging efficiency Affected by the aging of charging piles Influence, the W value changes at this time, specifically: ; When the anomaly score S is less than 0.6 and the health index H is greater than 80%, the W value decreases as the anomaly score S decreases, thereby changing the subsequent charging pile health index H and achieving the effect of optimizing the charging pile charging anomaly detection.

[0025] Specifically, the abnormal score S of the charging pile is obtained by combining the health index H of the charging pile with the charging efficiency and the communication failure rate, and is expressed using specific numerical values, so that the abnormal detection results are more comprehensive and accurate, and an abnormal score threshold is set. When the abnormal score S is lower than the threshold, the system can automatically trigger the early warning mechanism to respond and handle abnormal situations in a timely manner, thereby reducing losses caused by charging pile failures. When the abnormal score S is less than 0.6 and the health index H is greater than 80%, the calculation formula of the health index H can be dynamically adjusted. This dynamic adjustment mechanism enables the method to continuously optimize the abnormal detection effect, thereby more accurately reflecting the actual condition of the charging pile, especially when the charging efficiency decreases but the hardware has not yet shown obvious aging, which facilitates the early detection and handling of potential faults and improves the safety of the charging pile.

[0026] Furthermore, the charging pile function testing step also includes safety testing and compatibility testing; Safety testing includes simulating overcurrent conditions, checking whether the charging pile can cut off the power supply in time to protect the safety of equipment and users, checking whether the charging pile can trigger the over-temperature protection mechanism, using a leakage tester to detect whether the leakage protection function of the charging pile is effective, and compatibility testing. Connect the charging pile with electric vehicles of different brands and models to check whether the charging process is smooth and confirm the compatibility of the charging pile.

[0027] Specifically, safety testing can ensure that its various components and systems remain safe under normal and abnormal circumstances, prevent safety accidents such as fire and electric shock that may occur during charging, and ensure the safety of users and equipment. Compatibility testing ensures that the charging pile can be used in various environments by verifying the compatibility between the charging pile and vehicles of different models and brands and different versions of charging protocols. The high compatibility of the charging pile can provide users with a smooth and efficient charging experience, avoid charging failure or slow charging speed due to compatibility issues, and improve user satisfaction. Through compatibility testing, the compatibility issues of the charging pile in different environments can be discovered and resolved in a timely manner, reducing the failure rate caused by compatibility issues and improving the stability and reliability of the equipment.

[0028] Furthermore, when the charging pile is in a high health state, maintain a normal monitoring frequency; when the charging pile is in a medium health state, increase the monitoring frequency of the charging pile, and pay close attention to the changing trends of its key data; when the charging pile is in a low health state, there may be serious safety hazards in the charging pile. Stop using it immediately, organize a professional team to carry out emergency repairs on the charging pile, notify affected users, and explain the current condition of the charging pile and the estimated recovery time.

[0029] Specifically, by taking corresponding response measures according to the different health status of the charging piles and adjusting the monitoring frequency according to the health status of the charging piles, resources can be allocated more reasonably, and maintenance plans can be arranged in advance to reduce the subsequent maintenance time of the charging piles, reduce the impact caused by the downtime of the charging piles, and improve the utilization efficiency of the charging piles.

[0030] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A charging pile charging anomaly detection method, characterized in that: The following steps are involved: Step S1: Data collection: installing sensors and monitoring equipment on the charging pile to collect charging pile data in real time; Step S2: Charging pile function test: before formal charging, insert the charging gun and start charging, then simulate the charging stop operation to check whether the charging pile responds normally, test whether the communication between the charging pile and the background management system and the vehicle is smooth, and confirm that the data transmission is correct; Step S3: Charging data analysis: according to the collected charging pile data, the voltage deviation rate VF and the current fluctuation rate IR of the charging pile are calculated; Step S4: Charging anomaly detection: Based on the collected charging pile data, the health status of the charging pile is evaluated in combination with the voltage deviation rate VF and the current fluctuation rate IR to obtain a health index H. The charging pile is then evaluated for anomalies in combination with the health index H to obtain an anomaly score S. A threshold of the anomaly score S is set, and whether an anomaly occurs is determined based on the threshold. Step S5: Set up an early warning mechanism. When an abnormality occurs, record relevant data and notify administrators and users through monitoring equipment.

2. The charging pile charging anomaly detection method according to claim 1, characterized in that: The voltage deviation rate VF calculation formula is: ; Where VF is the voltage deviation rate; is the actual measured voltage; It is the standard voltage; The calculation formula of current fluctuation rate IR is: ; in IR is the current fluctuation rate; is the current standard deviation; is the average current; By calculating the voltage deviation rate VF and current fluctuation rate IR of the charging pile, the stability of the charging pile voltage and the fluctuation of the current can be obtained.

3. The charging pile charging anomaly detection method according to claim 2, characterized in that: In the charging abnormality detection step, the health index H is calculated as follows: ; Where H is the health index; VF is the voltage deviation rate; IR is the current fluctuation rate; is the ambient temperature; is the maximum operating temperature; is the aging degree of the charging pile; Where D is the usage time of the charging pile; Is the service life of the charging pile; W is The influence coefficient, W, is taken as 0.9; The health index H evaluates the overall health of the charging pile by combining the charging pile data, voltage deviation rate VF and current fluctuation rate IR, improving the comprehensiveness and accuracy of abnormality detection; When the health index H is greater than 80%, it is a high health state; when the health index H is greater than 60% and less than 80%, it is a medium health state; when the health index H is less than 60%, it is a low health state.

4. The charging pile charging anomaly detection method according to claim 3, characterized in that: In the charging anomaly detection step, the calculation formula of the anomaly score S is: ; Where S is the anomaly score; H is the health index; is the charging efficiency; in is the actual charge capacity, is the standard charge amount; is the communication failure rate; in is the number of communication failures, is the total number of communications; is the influence coefficient of health index H; is the charging efficiency influence coefficient; and The value range is between 0 and 1; The smaller the value of the abnormality score S is, the higher the abnormality risk of the charging pile is. The threshold of the abnormality score S is set to 0.

6. When the abnormality score S is less than 0.6, the charging pile is judged to be in an abnormal state; When the abnormality score S is less than 0.6 and the health index H is greater than 80%, it indicates that the charging efficiency is There are problems and charging efficiency Affected by the aging of charging piles Influence, at this time the W value in the health index H calculation formula changes, specifically: ; When the anomaly score S is less than 0.6 and the health index H is greater than 80%, the W value decreases as the anomaly score S decreases, thereby changing the subsequent charging pile health index H and achieving the effect of optimizing the charging pile charging anomaly detection.

5. The charging pile charging anomaly detection method according to claim 1, characterized in that: The charging pile function detection step also includes safety detection and compatibility detection.

6. The charging pile charging anomaly detection method according to claim 5, characterized in that: The safety test includes simulating overcurrent conditions, checking whether the charging pile can cut off the power supply in time to protect the safety of equipment and users, checking whether the charging pile can trigger the over-temperature protection mechanism, using a leakage tester to detect whether the leakage protection function of the charging pile is effective, and compatibility testing. Connect the charging pile with electric vehicles of different brands and models to check whether the charging process is smooth and confirm the compatibility of the charging pile.

7. The charging pile charging anomaly detection method according to claim 2, characterized in that: When the charging pile is in a high health state, maintain a normal monitoring frequency. When the charging pile is in a medium health state, increase the monitoring frequency of the charging pile, and pay close attention to the changing trend of its key data. When the charging pile is in a low health state, there may be serious safety hazards in the charging pile. Stop using it immediately, organize a professional team to carry out emergency repairs on the charging pile, notify affected users, and explain the current condition of the charging pile and the estimated recovery time.

8. The charging pile charging anomaly detection method according to claim 1, characterized in that: The monitoring device in the data collection step includes a communication system, and the communication system is used to transmit charging pile data information to administrators and users.

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