A charging fault detection method, system, storage medium and charging pile

Abstract

The application relates to a charging fault detection method and system, a storage medium and a charging pile, and relates to the technical field of charging. The method comprises the following steps: in response to the electric bicycle being connected to a target charging pile, the charging mode and the historical charging data of the electric bicycle are acquired; the electric bicycle is charged by the target charging pile according to the charging mode; during the charging process, the current curve diagram of the target charging pile is drawn according to the actual charging current of the target charging pile, and the current curve diagram represents the curve of the actual charging current changing with the charging time; and the potential fault of the electric bicycle is determined according to the current curve diagram and the historical charging data. The application has the effect of detecting the potential fault of the electric bicycle.

Description

Technical Field

[0001] The present application relates to the field of charging technology, and in particular to a charging fault detection method, system, storage medium and charging pile. Background Art

[0002] With the continuous development of new energy, charging piles are also being continuously added. They can be fixed on the ground or wall, or installed in parking lots or charging stations in public buildings and residential areas to charge electric bicycles.

[0003] Related technology After the electric bicycle is connected to the charging pile, the charging pile will detect the rated voltage of the electric bicycle and charge the electric bicycle using the rated voltage. If the charging pile detects that the electric bicycle has reached full charge, the charging pile will disconnect the charging.

[0004] With respect to the above-mentioned related technologies, the inventor believes that the charging piles of the related technologies can only provide charging function and cannot detect any faults in the electric bicycle itself. Summary of the Invention

[0005] In order to detect potential faults of an electric bicycle, the present application provides a charging fault detection method, system, storage medium and charging pile.

[0006] In a first aspect, the present application provides a charging fault detection method, which adopts the following technical solution:

[0007] A charging fault detection method, performed by a charging pile, comprising:

[0008] In response to the electric bicycle being connected to the target charging pile, obtaining a charging mode and historical charging data of the electric bicycle;

[0009] According to the charging method, the electric bicycle is charged through the target charging pile;

[0010] During the charging process, a current curve of the target charging pile is drawn according to the actual charging current of the target charging pile. The current curve represents the curve of the actual charging current changing with the charging time.

[0011] Determine potential faults of the electric bicycle based on the current curve graph and historical charging data.

[0012] By adopting the above technical solution, potential faults of the electric bicycle can be determined through the current curve diagram and historical charging data, which is beneficial to ensuring the health status and service life of the electric bicycle.

[0013] Optionally, the current difference between the current curve and the historical charging data is calculated with the charging time as a reference to obtain a deviation value;

[0014] Filter the data pairs whose deviation values ​​in the current curve are greater than the deviation limit value to obtain abnormal charging data;

[0015] Determine potential faults of the electric bicycle based on abnormal charging data.

[0016] By adopting the above technical solution, abnormal charging data greater than the deviation limit value is obtained through the difference between the current curve and the historical charging data, so that the abnormal charging data is representative and can accurately express potential faults.

[0017] Optionally, a potential fault corresponding to the abnormal charging data is searched in an abnormality repository, and the abnormality repository is used to store the corresponding relationship between the charging data and the fault type of the electric bicycle.

[0018] By adopting the above technical solution, relatively accurate potential faults can be accurately matched from the abnormality storage library.

[0019] Optionally, in response to the electric bicycle being connected to the target charging pile, obtaining a unique identifier of the electric bicycle;

[0020] Searching for the charging mode and historical charging data corresponding to the unique identifier in a normal storage repository;

[0021] Obtaining battery parameters of the electric bicycle when the normal storage library does not store the charging method and historical charging data;

[0022] Searching for a matching charging mode and matching charging data corresponding to the battery parameters in a normal storage library;

[0023] The matching charging mode is used as the charging mode, and the matching charging data is used as the historical charging data.

[0024] By adopting the above technical solution, a charging method and historical charging data that matches the electric bicycle can be obtained, so that the charging of the electric bicycle is more in line with the needs of the electric bicycle, and the historical charging data is also closer to the actual situation of the electric bicycle.

[0025] Optionally, collecting charging data of the electric bicycles within a preset historical period to obtain a charging data set;

[0026] Classifying the charging data in the charging data set to obtain normal charging data and abnormal charging data;

[0027] Writing normal charging data into a normal storage library, wherein the normal storage library is used to store charging data of the electric bicycle during normal charging;

[0028] The abnormal charging data is written into the abnormal storage repository.

[0029] By adopting the above technical solution, the data in the normal storage library and the abnormal storage library can be updated, and the normal storage library and the abnormal storage library can be continuously improved.

[0030] Optionally, monitoring charging temperature and smoke generation in the charging area of ​​the electric bicycle;

[0031] When the charging temperature is greater than a first temperature warning value, controlling the charging current to be less than a current limit value and generating an alarm signal;

[0032] When the charging temperature is greater than the first temperature limit or the smoke generation situation is that smoke is present, the power supply of the target charging pile is cut off, and the first temperature limit is greater than the first temperature warning value.

[0033] By adopting the above technical solution, the fire of the charging pile can be effectively monitored to ensure the normal operation of the charging pile.

[0034] Optionally, monitor the operating temperature of the target charging pile;

[0035] When the operating temperature is greater than the second temperature warning value, starting the fan of the target charging pile;

[0036] When the operating temperature is greater than the second temperature limit, the power supply of the target charging pile is cut off, and the second temperature limit is greater than the second temperature warning value.

[0037] By adopting the above technical solution, the temperature of the charging pile can be reduced in time to ensure the normal operation of the charging pile.

[0038] In a second aspect, the present application provides a charging fault detection system, which adopts the following technical solutions:

[0039] A charging fault detection system, comprising:

[0040] an acquisition module for acquiring charging mode, historical charging data, abnormal storage repository, normal storage repository, unique identifier, charging temperature, smoke generation condition, and operating temperature;

[0041] A memory for storing a program of any of the above charging fault detection methods;

[0042] The program in the memory can be loaded and executed by the processor to implement any of the above-mentioned charging fault detection methods.

[0043] In a third aspect, the present application provides a charging pile, which adopts the following technical solution:

[0044] A charging pile includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute any of the above-mentioned charging fault detection methods.

[0045] In a fourth aspect, the present application provides a computer storage medium capable of storing a corresponding program, which is convenient for detecting potential faults of an electric bicycle and adopts the following technical solution:

[0046] A computer-readable storage medium stores a computer program capable of being loaded by a processor and executing any one of the above-mentioned charging fault detection methods.

[0047] In summary, this application includes at least one of the following beneficial technical effects:

[0048] 1. The current curve and historical charging data can be used to identify potential faults of the electric bicycle, which is beneficial to ensure the health and service life of the electric bicycle;

[0049] 2. By using the difference between the current curve and historical charging data, abnormal charging data greater than the deviation limit is obtained, making the abnormal charging data representative and accurately expressing potential faults;

[0050] 3. The charging method and historical charging data that match the electric bicycle can be obtained, so that the charging of the electric bicycle is more in line with the needs of the electric bicycle, and the historical charging data is also closer to the actual situation of the electric bicycle. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a structural diagram of a charging pile system provided in an embodiment of the present application.

[0052] Figure 2 This is a structural diagram of a central control box provided in an embodiment of the present application.

[0053] Figure 3 This is a structural diagram of a charging pile provided in an embodiment of the present application.

[0054] Figure 4 This is a flow chart of a charging fault detection method provided in an embodiment of the present application.

[0055] Figure 5 This is a power curve diagram of normal charging provided in an embodiment of the present application.

[0056] Figure 6 This is a power curve diagram of abnormal charging provided in an embodiment of the present application.

[0057] Figure 7 This is a flow chart of a charging fault detection method provided in an embodiment of the present application.

[0058] Figure 8 This is a flow chart of a charging data matching method provided in an embodiment of the present application.

[0059] Figure 9 This is a flow chart of a charging data matching method provided in an embodiment of the present application.

[0060] Figure 10 This is a flow chart of a temperature monitoring method for an electric bicycle provided in an embodiment of the present application.

[0061] Figure 11 It is a flow chart of a temperature monitoring method for a charging pile provided in an embodiment of the present application.

[0062] Figure 12 Schematic diagram of a charging fault detection system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0063] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1-12 It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application.

[0064] The embodiment of the present application discloses a charging pile system. Figure 1 The charging pile system includes a central control box 11 and multiple charging piles 12.

[0065] The central control box 11 is used to control the charging pile 12. Optional, please refer to Figure 2 A display screen 111 is provided on the front of the central control box 11. The left display screen 111 can be used for program settings and data display, and analyze and compare charging curves and charging status. The right display area shows the charge amount and remaining time of each charging pile 12. Optionally, a card swiping area 113 is provided at the bottom of the central control box 11. Optionally, the central control box 11 is also provided with a warning light 112 and / or a buzzer. The warning light 112 is used to issue an alarm through light, and the buzzer is used to issue an alarm through sound. Optionally, a card swiping area 113 is provided at the bottom of the front of the central control box 11. The card swiping area 113 is used to identify IC (Integrated Circuit) card information. Optionally, a fan 114 is provided on the back of the central control box 11. The fan 114 is used to reduce the temperature of the central control box 11.

[0066] Please refer to Figure 3An infrared camera 121 and a smoke alarm 122 are provided on the side of the charging pile 12. The infrared camera 121 is used to monitor the temperature of the charging area of ​​the electric bicycle, and the smoke alarm 122 is used to monitor the smoke generation in the charging area of ​​the electric bicycle. Optionally, a thermistor sensor is further provided inside the charging pile 12, which is used to monitor the operating temperature of the charging pile 12. In addition, a charging plug 123 is provided on the front of the charging pile 12. Exemplarily, the charging pile 12 connected to the electric bicycle 13 is the target charging pile.

[0067] The embodiment of the present application discloses a charging fault detection method. Figure 4 , the method comprising:

[0068] Step S41: in response to the electric bicycle being connected to the target charging pile, the charging mode and historical charging data of the electric bicycle are acquired.

[0069] Optionally, the "charging mode" indicates the method for controlling the charging power, charging current, or charging voltage during the charging process. Furthermore, the charging mode includes three phases: continuous current phase, constant voltage phase, and floating charge phase (also known as trickle charge). The charging mode controls the charging time, charging power, or charging voltage during these three phases.

[0070] For example, please refer to Figure 5 During normal charging, it can be seen that the charging method of electric bicycles includes three stages: 1. Continuous current stage ( Figure 5 0-135min interval in the charging pile): The charging pile increases the charging voltage to keep the charging current constant, and the charging power of the charging pile increases slowly, so that the battery of the electric bicycle will be fully charged quickly; Second, the constant voltage stage ( Figure 5 During this phase, the charging station will maintain a fixed charging voltage and continue to deliver power to the battery of the electric bicycle. The battery voltage will slowly rise, the charging current will gradually decrease, and the charging power will also decrease. Figure 5 During the 225-285 minute interval (in the "225-285 minute interval"), the charging station will continue charging at a very low current and power. This stage, which typically takes 2-3 hours, is also an important stage for battery maintenance. Furthermore, the charging station's indicator light will turn green, indicating that the e-bike's battery level is greater than a preset battery level. The preset battery level is a constant, for example, 98%.

[0071] In some embodiments, after obtaining the charging mode, the charging mode is adjusted based on the ambient temperature. For example, when the ambient temperature is greater than the upper limit of the ambient temperature, the charging voltage / charging power of the continuous current stage and the constant voltage stage are reduced, and the charging time of the continuous current stage and the constant voltage stage is extended. The amount of reduction in the charging voltage / charging power is positively correlated with the ambient temperature, and the corresponding relationship between the reduction amount and the ambient temperature is stored in the memory of the central control box. When the ambient temperature is less than the lower limit of the ambient temperature, the charging time of the floating charge stage in the charging mode is extended. In a specific example, assuming that the upper limit of the ambient temperature is 35 degrees, when the ambient temperature reaches 38 degrees, the charging voltage of the continuous current stage and the constant voltage stage can be reduced by 2V, and when the ambient temperature reaches 40 degrees, the charging voltage of the continuous current stage and the constant voltage stage can be reduced by 6V to ensure that heat generation is reduced, the charging process is smooth, and the passive balancing of the battery is promoted. The low-current continuous charging mode has low power, greatly reducing potential damage to the battery pack and protecting the battery separator. In a specific example, when the ambient temperature reaches -5 degrees, the charging time of the floating charge stage can be extended from 3 hours to 4 hours to promote the electrochemical reaction of the uncharged part of the battery pack, so that the battery can reach the highest state of charge and prevent low temperature damage after continuous power outages in the cold winter.

[0072] Optionally, the historical charging data is used to represent a current curve graph of the electric bicycle during a historical period. Exemplarily, the historical charging data includes time and a current curve graph corresponding to the time. Furthermore, the current curve graph is stored in the form of a corresponding relationship between charging time and charging current.

[0073] The target charging pile is a charging pile connected to an electric bicycle.

[0074] Exemplarily, in response to the IC card information being sensed by the card swiping area of ​​the central control box, the charging pile information is displayed on the display screen of the central control box, and historical charging data corresponding to the IC card information is obtained. The charging pile information includes the charging pile number, working status, and whether it is faulty; in response to the selection operation on the charging pile information, the target charging pile is determined.

[0075] Step S42: charging the electric bicycle through the target charging pile according to the charging method.

[0076] For example, during the charging process of the electric bicycle, the charging current and / or charging voltage of the target charging pile are monitored in real time. When the charging current or charging voltage is different from the charging mode, the charging voltage is adjusted to make the charging current or charging voltage close to the charging mode.

[0077] Step S43: During the charging process, a current curve diagram of the target charging pile is drawn according to the actual charging current of the target charging pile. The current curve diagram represents a curve showing how the actual charging current changes with charging time.

[0078] The actual charging current refers to the charging current of the target charging pile for the electric bicycle during the charging process. Furthermore, the target charging pile is provided with a current sensor, which is used to detect the charging current of the charging pile.

[0079] The charging time is calculated from the time charging starts. For example, if an electric bicycle starts charging at 12:00, then at 12:10, the charging time is 10 minutes.

[0080] It should be noted that the current curve graph in this application can be replaced by a voltage curve graph or a power curve graph. The current curve graph represents the curve of the actual charging voltage changing with the charging time. The current curve graph represents the curve of the actual charging power changing with the charging time.

[0081] Step S44: Determine potential faults of the electric bicycle based on the current curve diagram and historical charging data.

[0082] Furthermore, since factors such as the remaining power of the electric bicycle and the ambient temperature may affect the charging of the electric bicycle, in order to improve the accuracy of this embodiment, the historical charging data may be screened according to the current remaining power of the electric bicycle and the current ambient temperature to update the historical charging data.

[0083] Exemplarily, historical charging data that is close to the current ambient temperature is selected. Close to the ambient temperature means that the temperature difference between the historical ambient temperature corresponding to the historical charging data and the current ambient temperature is less than a preset temperature difference. The preset temperature difference is a constant, for example, 2 degrees.

[0084] Exemplarily, historical charging data that is close to the current remaining power is selected. Close to the remaining power means that the difference between the remaining power corresponding to the historical charging data and the current remaining power is less than a preset power difference. The preset power difference is a constant, for example, 5%.

[0085] For example, the power curve can be used instead of the current curve to determine the potential fault of the electric bicycle. Figure 5 and Figure 6 By comparing the current curve with historical charging data, it can be determined that all data pairs in the current curve are abnormal charging data. Potential faults of the e-bike may include a poor connection between the charger and the socket, a poor connection between the charger and the battery, or a charger anomaly, such as a blown fuse, unstable charger, or a stopped cooling fan.

[0086] Exemplarily, battery maintenance recommendations are generated based on potential faults of the electric bicycle. For example, if the potential fault is battery aging, the battery maintenance recommendations include reducing deep discharge and charging regularly. If the potential fault is a poor connection between the charger and the battery, the battery maintenance recommendations include cleaning the contact points between the charger and the battery and avoiding frequent plugging and unplugging.

[0087] Exemplarily, the historical charging data includes multiple groups, and an average of the historical charging data is calculated; and the current curve graph is compared with the average of the historical charging data.

[0088] For further information, please refer to Figure 7 , Figure 7 A charging fault detection method is disclosed, which includes steps S441 to S443, and the specific contents are as follows:

[0089] Step S441: using the charging time as a reference, calculating the current difference between the current curve and the historical charging data to obtain a deviation value.

[0090] Exemplarily, candidate charging currents with the same charging time are selected from the current curve and historical charging data, and the current difference between the candidate charging currents is calculated to obtain the deviation value. For example, assuming the charging time is 20 minutes, the candidate charging currents corresponding to 20 minutes are respectively extracted from the current curve and historical charging data. The candidate charging currents obtained are 2.0A (from the current curve) and 2.1A (from the historical charging data). The current difference between the candidate charging currents is calculated to obtain a deviation value of 0.1A.

[0091] Step S442: Filtering data pairs in the current curve graph whose deviation values ​​are greater than the deviation limit value to obtain abnormal charging data.

[0092] The deviation limit value is a constant, for example, the deviation limit value is 0.3 A. The specific data of the deviation limit value can be adjusted according to needs, and this application does not make any specific restrictions on this.

[0093] A data pair refers to a combination of charging time and charging current in which the deviation value in the current curve is greater than the deviation limit value.

[0094] Optionally, the abnormal charging data includes first abnormal charging data and second abnormal charging data, wherein the first abnormal charging data is a data pair in the current curve graph having a deviation value greater than a deviation limit value. The second abnormal charging data is determined as follows: if a first charging time in the current curve graph does not have a corresponding charging current in the historical charging data, then the first charging time and the actual charging current corresponding to the first charging time are used as the second abnormal charging data.

[0095] Step S443: Determine potential faults of the electric bicycle based on the abnormal charging data.

[0096] Exemplarily, a potential fault corresponding to the abnormal charging data is searched in an abnormality repository, and the abnormality repository is used to store the corresponding relationship between the charging data and the fault type of the electric bicycle.

[0097] In a specific embodiment, if the second abnormal charging data exists and the number of the first abnormal charging data is greater than a first threshold, the potential fault of the electric bicycle is battery aging. The first threshold is a constant, for example, 50.

[0098] In a specific embodiment, if the number of first abnormal charging data is less than a second number threshold and the charging current corresponding to the first abnormal charging data is greater than a current threshold, then the potential fault of the electric bicycle is a potential failure of the charger's current limiter, and the second number threshold is less than the first number threshold. The second number threshold and the current threshold are constants, for example, the second number threshold is 30 and the current threshold is 5A.

[0099] In a specific embodiment, if the first abnormal charging data is discretely distributed in the current curve graph, the potential fault of the electric bicycle is a poor connection between the charger and the socket, or a poor connection between the charger and the battery. For example, using charging time as a reference, the difference between the charging times of adjacent first abnormal charging data is calculated to obtain a time difference set. The time difference set is checked to determine whether there is identical data. If identical data exists, it is determined whether the number of groups of identical data is less than a first predetermined value. If not, the process ends. If so, it is determined whether the number of data included in each group of identical data is less than a second predetermined value. If not, the process ends. If so, it is considered that the first abnormal charging data is discretely distributed in the current curve graph. For example, assuming that the first constant is 2 and the second constant is 3, the charging times corresponding to the first abnormal charging data include [16:00, 16:04, 16:15, 16:25, 16:45, 16:55], then the time difference set is [4, 11, 10, 20, 10], where the time difference set includes a group of identical data [10, 10]. The number of groups of identical data is less than the first constant, and the number of data in the identical group is 2, so the number of data is less than the second constant. Therefore, it is considered that the first abnormal charging data is discretely distributed in the current curve graph.

[0100] In some other embodiments, a fault detection model is called to process abnormal charging data to obtain potential faults of the electric bicycle.

[0101] In summary, by adopting the above technical solution, potential faults of electric bicycles can be identified using the current curve and historical charging data, which helps to ensure the health and service life of the electric bicycle. Furthermore, potential faults of electric bicycles can be identified using the current curve and historical charging data, which helps to ensure the health and service life of the electric bicycle. Furthermore, by using the difference between the current curve and historical charging data to obtain abnormal charging data that exceeds the deviation limit, the abnormal charging data becomes representative and can accurately represent potential faults.

[0102] In the following embodiment, the present application discloses a charging data matching method. Figure 8 , the method comprising:

[0103] Step S801: In response to the electric bicycle being connected to the target charging pile, a unique identifier of the electric bicycle is obtained.

[0104] The unique identifier is used to uniquely identify the electric bicycle information or the user information corresponding to the electric bicycle. The electric bicycle information includes at least one of the electric bicycle model, usage time, lifespan, and maximum capacity. The user information includes at least one of the user's name, nickname, and serial number.

[0105] Exemplarily, in response to the electric bicycle being connected to the target charging pile, the IC card information sensed by the card swiping area of ​​the central control box is obtained; and the unique identifier of the electric bicycle is extracted based on the IC card information.

[0106] Exemplarily, in response to the electric bicycle accessing the target charging pile, the target charging pile sends a query request to the electric bicycle; the electric bicycle returns a unique identifier to the charging pile according to the query request.

[0107] Step S802: searching the normal storage library for the charging mode and historical charging data corresponding to the unique identifier.

[0108] For example, if the charging mode and historical charging data corresponding to the unique identifier can be found in the normal storage library, the execution Figure 4 In step S402 of the illustrated embodiment, step S3 does not need to be performed.

[0109] In this embodiment, the present application discloses a charging data matching method. Figure 9 The method includes steps S901 to S904, the specific contents of which are as follows:

[0110] Step S901: Collecting statistics on the charging data of electric bicycles in a preset historical period to obtain a charging data set.

[0111] The preset historical period is of a preset length. For example, if the current time is December 31, the preset historical period includes December 1 to December 10, December 11 to December 20, and December 21 to December 30.

[0112] Step S902: Classify the charging data in the charging data set to obtain normal charging data and abnormal charging data.

[0113] Exemplarily, a clustering operation is performed on the charging data in the charging data set to obtain normal charging data; and the charging data in the charging data set other than the normal charging data is regarded as abnormal charging data.

[0114] Step S903: writing the normal charging data into a normal storage library, which is used to store the charging data of the electric bicycle during normal charging.

[0115] The normal charging data is written into the normal storage memory to update the normal storage memory.

[0116] Furthermore, the charging method can be updated after the normal storage library is updated. For example, based on the data in the normal storage library, the average charging voltage and the average charging current corresponding to each charging time are calculated. Based on the charging time, the average charging voltage and the average charging current are used to replace the relevant data in the charging method to achieve the updated charging method. Therefore, this embodiment can continuously optimize the charging method based on the historical charging data of the electric bicycle, so that the battery reaches the highest charging state.

[0117] Step S904: writing the abnormal charging data into the abnormal storage memory.

[0118] The abnormal charging data is written into the abnormal storage library to update the abnormal storage library.

[0119] In summary, by adopting the above steps S901 to S904, the data in the normal storage library and the abnormal storage library can be updated, and the normal storage library and the abnormal storage library can be continuously improved.

[0120] Step S803: When the normal storage library does not store the charging mode and historical charging data, the battery parameters of the electric bicycle are obtained.

[0121] If the charging method and historical charging data corresponding to the unique identifier are stored in the normal storage library, the charging method and historical charging data are retrieved.

[0122] The battery parameters include at least one of the battery capacity, model, internal resistance, operating temperature range, rated charging voltage, and rated charging current.

[0123] Exemplarily, a model input window is displayed on the display screen of the central control box; in response to an input operation on the model input window, the model of the electric bicycle is obtained; and according to the model of the electric bicycle, battery parameters are queried and obtained.

[0124] In another embodiment, upon detecting that an electric bicycle is connected to a target charging station and the electric bicycle's unique identifier has not been obtained, battery parameters of the electric bicycle are obtained. Furthermore, a registration request is displayed on a display screen of a central control box; in response to the registration operation on the display screen, user information and / or electric bicycle information is obtained; and a unique identifier is generated based on the user information and / or electric bicycle information.

[0125] Step S804: searching the normal storage library for a matching charging mode and matching charging data corresponding to the battery parameters.

[0126] The battery parameters match the charging method and charging data.

[0127] Step S805: using the matched charging mode as the charging mode, and using the matched charging data as the historical charging data.

[0128] Since the battery parameters of the electric bicycle match the matching charging method and the matching charging data, the matching charging method and the matching charging data can be temporarily used to monitor the electric bicycle.

[0129] In summary, by adopting the above technical solution, we can obtain charging methods and historical charging data that match the e-bike, making the charging of the e-bike more in line with the e-bike's needs, and the historical charging data is more closely aligned with the actual e-bike's conditions. Furthermore, the data in the normal storage library and the abnormal storage library can be updated, continuously improving the normal storage library and the abnormal storage library.

[0130] In the following embodiment, the present application discloses a temperature monitoring method for an electric bicycle. Figure 10 , the method comprising:

[0131] Step S1001: monitoring the charging temperature and smoke generation in the charging area of ​​the electric bicycle.

[0132] Exemplarily, an infrared camera and a smoke alarm are provided on the charging pile. The infrared camera is used to monitor the charging temperature in the charging area, and the smoke alarm is used to monitor the smoke generation in the charging area.

[0133] The charging area is the area captured by the infrared camera. In some embodiments, the infrared camera is primarily used to monitor the battery temperature of the e-bike. However, in real-world scenarios, the e-bike may block the battery, preventing the infrared camera from directly capturing the battery temperature. After the e-bike has been connected to the target charging station for a preset connection time, if the temperature of the charging area remains unchanged, the infrared camera on the adjacent charging station is activated to monitor the battery temperature of the e-bike.

[0134] Step S1002: When the charging temperature is greater than a first temperature warning value, the charging current is controlled to be less than a current limit value, and an alarm signal is generated.

[0135] The first temperature warning value is a constant, and the first temperature warning value is related to the battery type used in the electric bicycle. For example, when the battery type is a lithium-ion battery, the first temperature warning value is 40 degrees; when the battery type is a lithium iron phosphate battery, the first temperature warning value is 45 degrees.

[0136] The current limit value is a constant. For example, the current limit value is 3A.

[0137] The alarm signal may be in the form of at least one of sound and light. For example, the central control box may be equipped with a warning light that illuminates when an alarm signal is generated. Another example may be equipped with a buzzer that sounds when an alarm signal is generated.

[0138] Step S1003: When the charging temperature is greater than the first temperature limit or the smoke generation situation is that smoke exists, the power supply of the target charging pile is cut off, and the first temperature limit is greater than the first temperature warning value.

[0139] The first temperature limit is a constant, and the first temperature limit is related to the battery type used in the electric bicycle. For example, when the battery type is a lithium battery, the first temperature limit is 55 degrees; when the battery type is a lithium iron phosphate battery, the first temperature warning value is 60 degrees.

[0140] In summary, by adopting the above technical solution, the fire of the charging pile can be effectively monitored to ensure the normal operation of the charging pile.

[0141] In the following embodiment, the present application discloses a temperature monitoring method for a charging pile. Figure 11 , the method comprising:

[0142] Step S1101: Monitor the operating temperature of the target charging pile.

[0143] For example, a thermistor sensor is provided on the charging pile, and is used to monitor the operating temperature of the charging pile.

[0144] Step S1102: When the operating temperature is greater than the second temperature warning value, start the fan of the target charging pile.

[0145] The second temperature warning value is a constant, for example, the second temperature limit value is 40 degrees.

[0146] Furthermore, a fan is used to reduce the temperature of the charging pile.

[0147] Step S1103: When the operating temperature is greater than the second temperature limit, cutting off the power supply of the target charging pile, and the second temperature limit is greater than the second temperature warning value.

[0148] The second temperature limit is a constant, for example, the second temperature limit is 60 degrees.

[0149] In summary, by adopting the above technical solution, the temperature of the charging pile can be reduced in time to ensure the normal operation of the charging pile.

[0150] Based on the same inventive concept, an embodiment of the present application provides a charging fault detection system, comprising:

[0151] An acquisition module 1201 is used to acquire charging mode, historical charging data, abnormal storage repository, normal storage repository, unique identifier, charging temperature, smoke generation status, and operating temperature;

[0152] Memory 1202, used to store a program of the charging fault detection method according to any of the above embodiments;

[0153] The processor 1203 can load and execute the program in the memory to implement the charging fault detection method of any of the above embodiments.

[0154] In summary, the current curve and historical charging data can be used to identify potential faults of electric bicycles, which is beneficial to ensure the health and service life of electric bicycles.

[0155] Those skilled in the art will clearly understand that for the sake of convenience and brevity, the division of the above-mentioned functional modules is only used as an example for illustration. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working processes of the above-mentioned systems, devices, and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0156] An embodiment of the present application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed by a charging fault detection method.

[0157] Computer storage media include, for example, various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0158] Based on the same inventive concept, an embodiment of the present application provides a smart terminal, including a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute a charging fault detection method.

[0159] Those skilled in the art will clearly understand that for the sake of convenience and brevity, the division of the above-mentioned functional modules is only used as an example for illustration. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working processes of the above-mentioned systems, devices, and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0160] The above are all preferred embodiments of the present application and are not intended to limit the scope of protection of this application. Unless otherwise specified, any feature disclosed in this specification (including the abstract and drawings) may be replaced by other equivalent or similar features. In other words, unless otherwise specified, each feature is merely an example of a series of equivalent or similar features.

Claims

1. A charging fault detection method, characterized in that: The method is performed by a charging pile system and includes: In response to the electric bicycle being connected to a target charging pile, obtaining a charging mode and historical charging data of the electric bicycle, wherein the charging mode is used to indicate a method for controlling the charging power, charging current, or charging voltage during the charging process. The charging modes include: a continuous current stage, a constant voltage stage, and a floating charge stage. The charging mode is a method for controlling the charging time and the charging power or charging voltage in the three aforementioned stages; wherein, after obtaining the charging mode, adjusting the charging mode according to the ambient temperature; specifically, when the ambient temperature is greater than the upper limit of the ambient temperature, reducing the charging voltage or charging power in the continuous current stage and the constant voltage stage, and extending the charging time in the continuous current stage and the constant voltage stage, wherein the amount of reduction in the charging voltage or the charging power is positively correlated with the ambient temperature; and when the ambient temperature is less than the lower limit of the ambient temperature, extending the charging time of the floating charge stage in the charging mode; According to the charging method, charging the electric bicycle through a target charging pile; During the charging process, a current curve graph of the target charging pile is drawn according to the actual charging current of the target charging pile, wherein the current curve graph represents a curve showing the actual charging current changing with charging time; determining a potential fault of the electric bicycle according to the current curve graph and the historical charging data; Determining a potential fault of the electric bicycle based on the current curve graph and the historical charging data includes: calculating a current difference between the current curve graph and the historical charging data with reference to the charging time to obtain a deviation value; screening data pairs in the current curve graph whose deviation values ​​are greater than a deviation limit value to obtain abnormal charging data; and determining a potential fault of the electric bicycle based on the abnormal charging data; The method of acquiring the charging mode and historical charging data of the electric bicycle in response to the electric bicycle being connected to the target charging pile includes: acquiring a unique identifier of the electric bicycle in response to the electric bicycle being connected to the target charging pile; searching a normal storage library for the charging mode and the historical charging data corresponding to the unique identifier; acquiring battery parameters of the electric bicycle if the normal storage library does not store the charging mode and the historical charging data; searching the normal storage library for a matching charging mode and matching charging data corresponding to the battery parameters; and using the matching charging mode as the charging mode and the matching charging data as the historical charging data; The charging data of the electric bicycle within a preset historical period is counted to obtain a charging data set; the charging data in the charging data set is classified to obtain normal charging data and abnormal charging data; the normal charging data is written into the normal storage library, which is used to store the charging data of the electric bicycle during normal charging; and the abnormal charging data is written into the abnormal storage library.

2. The charging fault detection method according to claim 1, characterized in that: Determining a potential fault of the electric bicycle according to the abnormal charging data includes: The potential fault corresponding to the abnormal charging data is searched in an abnormality storage library, wherein the abnormality storage library is used to store the corresponding relationship between the charging data and the fault type of the electric bicycle.

3. The charging fault detection method according to claim 1, characterized in that: The method further comprises: monitoring charging temperature and smoke generation in a charging area of ​​the electric bicycle; When the charging temperature is greater than a first temperature warning value, controlling the charging current to be less than a current limit value and generating an alarm signal; When the charging temperature is greater than a first temperature limit or the smoke generation condition indicates the presence of smoke, power supply to the target charging pile is cut off, and the first temperature limit is greater than the first temperature warning value.

4. The charging fault detection method according to claim 1, characterized in that: The method further comprises: Monitoring the operating temperature of the target charging pile; When the operating temperature is greater than a second temperature warning value, starting a fan of the target charging pile; When the operating temperature is greater than a second temperature limit, power supply to the target charging pile is cut off, and the second temperature limit is greater than the second temperature warning value.

5. A charging fault detection system, characterized in that: include: an acquisition module for acquiring charging mode, historical charging data, abnormal storage repository, normal storage repository, unique identifier, charging temperature, smoke generation condition, and operating temperature; A memory for storing a program of the charging fault detection method according to any one of claims 1 to 4; The program in the memory can be loaded and executed by the processor to implement the charging fault detection method according to any one of claims 1 to 4.

6. A charging pile, characterized in that: The device comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the charging fault detection method according to any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that The device stores a computer program that can be loaded by a processor and execute the charging fault detection method according to any one of claims 1 to 4.

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