Abnormal load detection system for charging pile

Abstract

The invention relates to the technical field of charging pile load detection, and discloses a charging pile abnormal load detection system comprising a data acquisition module which is responsible for acquiring voltage and current data in real time from an electricity meter integrated with a charging pile and calculating a power factor; and the data analysis and judgment module is used for analyzing and judging whether the current load is an abnormal load or not according to the collected voltage, current and power factor data. According to the method, the existing hardware design does not need to be changed, and the required functions can be realized only by software upgrading, so that the implementation and maintenance cost is greatly reduced, and the performance and the safety of the charging pile can be improved under the condition that an enterprise does not increase extra hardware investment.

Description

Technical Field

[0001] The present invention relates to the technical field of charging pile load detection, and in particular to a charging pile abnormal load detection system. Background Art

[0002] As charging piles become more and more popular, some problems are exposed during actual use. Some users purchase adapters online to charge their two-wheeled electric vehicles through charging piles. The quality of chargers purchased by users online varies, and there is a lack of unified safety standards and certifications. Low-quality chargers have safety hazards such as overheating, short circuit, and overcharging, which can easily cause fire or explosion accidents. In addition, the use of adapters to connect charging piles and chargers increases the complexity of circuit connections. Quality problems of the adapters themselves or loose connections can also lead to unstable current or short circuits, further increasing safety risks.

[0003] Therefore, it is necessary to design an abnormal load detection system for charging piles to solve the above problems. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a charging pile abnormal load detection system.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions: The abnormal load detection system of charging pile includes the following modules: Data acquisition module: responsible for collecting voltage and current data from the electric meter integrated in the charging pile in real time and calculating the power factor; Data analysis and judgment module: Analyze and judge whether the current load is abnormal based on the collected voltage, current and power factor data; Control execution module: controls the charging behavior of the charging pile according to the results of the data analysis and judgment module; Communication module: upload power factor, current, and charging status to the backend server to support remote monitoring and management; User interaction module: provides an interactive interface between the user and the charging pile, including displaying the charging status and error message prompts; Safety protection module: ensures the safe operation of the charging pile under various abnormal conditions and prevents fire and electric shock accidents.

[0006] As a preferred technical solution of the present invention, in the data acquisition module, based on the collected voltage and current data, the power factor is calculated in real time using the power factor calculation formula. Before transmitting the data to the data analysis and judgment module, the data acquisition module performs data preprocessing, including filtering and denoising. The collected data is transmitted to the data analysis and judgment module through an internal bus or a dedicated interface. At the same time, the power factor, current, and voltage also need to be uploaded to the background server through the communication module to support remote monitoring and management. Part of the data is temporarily stored in the local cache. When the communication module is ready or the cache reaches a certain threshold, the data is uploaded to the server in batches.

[0007] As a preferred technical solution of the present invention, in the data analysis and judgment module, the voltage, current and power factor sent by the data acquisition module are received, and data cleaning and denoising are performed. Based on the preprocessed data, the electrical characteristics of the current load, including power consumption and current fluctuation, are analyzed to determine the type and state of the load. According to the preset algorithm and threshold, the load characteristics are analyzed and compared to identify whether there is an abnormal load, including overload, short circuit and overvoltage. Through machine learning or deep learning algorithms, pattern recognition is performed on the load characteristics, and characteristic models of normal loads and abnormal loads are established for real-time identification and classification. The analysis results are provided to the control execution module as a decision-making basis for controlling the charging behavior of the charging pile. When an abnormal load is identified, the control execution module will immediately stop charging or take other safety measures.

[0008] As a preferred technical solution of the present invention, in the control execution module, according to the load status identified by the data analysis and judgment module, including normal load and abnormal load, the control execution module can dynamically adjust the charging strategy. When an abnormal load is detected, it will reduce the charging power, suspend charging or completely cut off the power supply to avoid damage to the charging pile or the electric vehicle. During the charging process, the control execution module will continuously monitor the various safety indicators of the charging pile, including current, voltage, and temperature. Once any safety hazard or abnormal situation is found, including overcurrent, overvoltage, and overheating, it will immediately initiate safety protection measures, including cutting off the power supply and triggering an alarm to ensure the safety of the charging pile and the user. In addition to basic safety control, the control execution module also optimizes the charging process according to the battery status of the electric vehicle, the remaining power, and the user's charging demand factors.

[0009] As a preferred technical solution of the present invention, in the communication module, the key data of the power factor, current and charging status of the charging pile are uploaded to the background server in real time, and the working status of the charging pile is remotely monitored, including current, voltage and temperature parameters, so as to promptly discover and handle abnormal situations. At the same time, the management personnel remotely control and manage the charging pile through the communication module, including adjusting the charging strategy, starting or stopping charging, supporting users to interact with the charging pile through the mobile phone APP, and users can view the charging status, charging cost and historical charging record information through the APP, and supporting remote control of the charging behavior of the charging pile, including charging appointment and charging stop.

[0010] As a preferred technical solution of the present invention, in the safety protection module, when the current exceeds a preset safety threshold during charging, the safety protection module automatically cuts off the power supply to prevent excessive current from damaging the battery or charging pile. When a short circuit occurs inside the charging pile or in the charging line, the safety protection module quickly identifies and cuts off the power supply to prevent the short-circuit current from causing damage to equipment and personnel. In the case of leakage, the safety protection module has a leakage protection function, which can quickly cut off the power supply when leakage is detected to prevent electric shock accidents.

[0011] The present invention has the following beneficial effects: 1. Significant cost-effectiveness: Since there is no need to change the existing hardware design, only software upgrades are required to achieve the required functions, which greatly reduces the cost of implementation and maintenance. Enterprises can improve the performance and safety of charging piles without increasing additional hardware investment; 2. Accurate load identification: Through the differences in charger parameters and charging behaviors, the system can more reliably identify the load conditions, which helps the charging pile to more accurately determine whether the currently connected electric vehicle or device is in a normal charging state, thereby optimizing the charging process; 3. Prevent unauthorized wiring modification: The system can effectively identify and prevent users from unauthorized wiring modification for charging. This can not only protect the charging pile from damage caused by improper use, but also eliminate the resulting safety hazards and ensure the safety of users and equipment; 4. Improve safety: By real-time monitoring and identification of abnormal loads, as well as preventing unauthorized wiring modifications, the system can significantly reduce the risk of fire and electric shock accidents, providing users with a safer and more reliable charging environment; 5. Remote monitoring and management: With the support of the communication module, the status and data of the charging pile can be uploaded to the background server in real time, realizing remote monitoring and management. This helps operators to promptly detect and handle abnormal situations and improve the operating efficiency and reliability of the charging pile. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1This is a schematic diagram of the system structure of the charging pile abnormal load detection system proposed by the present invention. DETAILED DESCRIPTION

[0013] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0014] Reference Figure 1 , the abnormal load detection system of charging pile includes the following modules: Data acquisition module: responsible for real-time collection of voltage and current data from the electric meter integrated in the charging pile, and calculating the power factor. In the data acquisition module, based on the collected voltage and current data, the power factor is calculated in real time using the power factor calculation formula. Before transmitting the data to the data analysis and judgment module, the data acquisition module performs data preprocessing, including filtering and denoising. The collected data is transmitted to the data analysis and judgment module through the internal bus or dedicated interface. At the same time, the power factor, current, and voltage also need to be uploaded to the background server through the communication module to support remote monitoring and management. Some data are temporarily stored in the local cache. When the communication module is ready or the cache reaches a certain threshold, the data is uploaded to the server in batches. Data analysis and judgment module: Analyze and judge whether the current load is an abnormal load based on the collected voltage, current and power factor data. In the data analysis and judgment module, the voltage, current and power factor sent by the data acquisition module are received, and data cleaning and denoising are performed. Based on the pre-processed data, the electrical characteristics of the current load, including power consumption and current fluctuation, are analyzed to determine the type and state of the load. According to the preset algorithm and threshold, the load characteristics are analyzed and compared to identify whether there is an abnormal load, including overload, short circuit and overvoltage. Through machine learning or deep learning algorithms, the load characteristics are pattern recognized, and characteristic models of normal loads and abnormal loads are established for real-time identification and classification. The analysis results are provided to the control execution module as a decision-making basis for controlling the charging behavior of the charging pile. When an abnormal load is identified, the control execution module will immediately stop charging or take other safety measures. Control execution module: Controls the charging behavior of the charging pile according to the results of the data analysis and judgment module. In the control execution module, according to the load status identified by the data analysis and judgment module, including normal load and abnormal load, the control execution module can dynamically adjust the charging strategy. When an abnormal load is detected, it will reduce the charging power, suspend charging or completely cut off the power supply to avoid damage to the charging pile or electric vehicle. During the charging process, the control execution module will continuously monitor the various safety indicators of the charging pile, including current, voltage, and temperature. Once any safety hazards or abnormal conditions are found, including overcurrent, overvoltage, and overheating, it will immediately initiate safety protection measures, including cutting off the power supply and triggering an alarm to ensure the safety of the charging pile and the user. In addition to basic safety control, the control execution module also optimizes the charging process based on the battery status of the electric vehicle, the remaining power, and the user's charging demand factors; Communication module: upload power factor, current, and charging status to the background server, support remote monitoring and management. In the communication module, upload the key data of the power factor, current, and charging status of the charging pile to the background server in real time, remotely monitor the working status of the charging pile, including current, voltage, and temperature parameters, and promptly discover and handle abnormal situations. At the same time, managers remotely control and manage the charging pile through the communication module, including adjusting the charging strategy, starting or stopping charging, and support users to interact with the charging pile through the mobile phone APP. Users can view the charging status, charging fees, and historical charging record information through the APP, and support remote control of the charging behavior of the charging pile, including appointment charging and stopping charging; User interaction module: provides an interactive interface between the user and the charging pile, including displaying the charging status and error message prompts; Safety protection module: ensures the safe operation of the charging pile under various abnormal conditions and prevents fire and electric shock accidents. In the safety protection module, when the current exceeds the preset safety threshold during charging, the safety protection module automatically cuts off the power supply to prevent excessive current from damaging the battery or charging pile. When a short circuit occurs inside the charging pile or in the charging line, the safety protection module quickly identifies and cuts off the power supply to prevent the short-circuit current from causing damage to equipment and personnel. In the case of leakage, the safety protection module has a leakage protection function, which can quickly cut off the power supply when leakage is detected to prevent electric shock accidents.

[0015] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can replace or change the technical solution and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. Charging pile abnormal load detection system, characterized in that: Includes the following modules: Data acquisition module: responsible for collecting voltage and current data from the electric meter integrated in the charging pile in real time and calculating the power factor; Data analysis and judgment module: Analyze and judge whether the current load is abnormal based on the collected voltage, current and power factor data; Control execution module: controls the charging behavior of the charging pile according to the results of the data analysis and judgment module; Communication module: upload power factor, current, and charging status to the backend server to support remote monitoring and management; User interaction module: provides an interactive interface between the user and the charging pile, including displaying the charging status and error message prompts; Safety protection module: ensures the safe operation of the charging pile under various abnormal conditions and prevents fire and electric shock accidents.

2. The charging pile abnormal load detection system according to claim 1, characterized in that: In the data acquisition module, the power factor is calculated in real time using the power factor calculation formula based on the collected voltage and current data. Before transmitting the data to the data analysis and judgment module, the data acquisition module performs data preprocessing, including filtering and denoising. The collected data is transmitted to the data analysis and judgment module through an internal bus or a dedicated interface. At the same time, the power factor, current, and voltage also need to be uploaded to the background server through the communication module to support remote monitoring and management. Some data are temporarily stored in the local cache. When the communication module is ready or the cache reaches a certain threshold, the data is uploaded to the server in batches.

3. The charging pile abnormal load detection system according to claim 1, characterized in that: In the data analysis and judgment module, the voltage, current and power factor sent by the data acquisition module are received, and data cleaning and denoising are performed. Based on the preprocessed data, the electrical characteristics of the current load, including power consumption and current fluctuation, are analyzed to determine the type and state of the load. According to the preset algorithm and threshold, the load characteristics are analyzed and compared to identify whether there is an abnormal load, including overload, short circuit, and overvoltage. Through machine learning or deep learning algorithms, pattern recognition is performed on the load characteristics, and characteristic models of normal loads and abnormal loads are established for real-time identification and classification. The analysis results are provided to the control execution module as a decision-making basis for controlling the charging behavior of the charging pile. When an abnormal load is identified, the control execution module will immediately stop charging or take other safety measures.

4. The charging pile abnormal load detection system according to claim 1, characterized in that: In the control execution module, according to the load status identified by the data analysis and judgment module, including normal load and abnormal load, the control execution module can dynamically adjust the charging strategy. When an abnormal load is detected, it will reduce the charging power, suspend charging or completely cut off the power supply to avoid damage to the charging pile or the electric vehicle. During the charging process, the control execution module will continuously monitor the various safety indicators of the charging pile, including current, voltage, and temperature. Once any safety hazards or abnormal conditions are found, including overcurrent, overvoltage, and overheating, it will immediately initiate safety protection measures, including cutting off the power supply and triggering an alarm to ensure the safety of the charging pile and the user. In addition to basic safety control, the control execution module also optimizes the charging process based on the battery status of the electric vehicle, the remaining power, and the user's charging needs.

5. The charging pile abnormal load detection system according to claim 1, characterized in that: In the communication module, the key data of the power factor, current, and charging status of the charging pile are uploaded to the background server in real time, and the working status of the charging pile is remotely monitored, including current, voltage, and temperature parameters, so that abnormal situations can be discovered and handled in a timely manner. At the same time, the management personnel remotely control and manage the charging pile through the communication module, including adjusting the charging strategy, starting or stopping charging, and supporting users to interact with the charging pile through the mobile phone APP. Users can view the charging status, charging fees, and historical charging record information through the APP, and support remote control of the charging behavior of the charging pile, including scheduling charging and stopping charging.

6. The charging pile abnormal load detection system according to claim 1, characterized in that: In the safety protection module, when the current exceeds the preset safety threshold during charging, the safety protection module automatically cuts off the power supply to prevent excessive current from damaging the battery or charging pile. When a short circuit occurs inside the charging pile or in the charging line, the safety protection module quickly identifies and cuts off the power supply to prevent the short-circuit current from causing damage to equipment and personnel. In the case of leakage, the safety protection module has a leakage protection function, which can quickly cut off the power supply when leakage is detected to prevent electric shock accidents.

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