Abnormal charging pile identification method and device, computer equipment and storage medium

Abstract

The invention relates to the technical field of charging piles, and discloses an abnormal charging pile identification method and device, computer equipment and a storage medium, the identification method comprises the following steps: obtaining charging data, the charging data comprising a terminal temperature in a vehicle charging process by a charging pile; feature extraction processing is carried out on the charging data to obtain charging features, and the charging features represent the change rate of the terminal temperature; determining a prediction result of the change rate of the terminal temperature corresponding to the charging characteristic, wherein the prediction result of the change rate of the terminal temperature represents the change quantity of the terminal temperature in unit time; and according to the prediction result and the current actual temperature change rate, the abnormal state of the charging pile is judged. Through the technical scheme of the invention, the problem of low detection accuracy of the abnormal charging pile in related technologies is solved, and the detection accuracy of the abnormal charging pile is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of charging piles, and particularly to a method, device, computer device and storage medium for identifying abnormal charging piles. Background Art

[0002] With the popularization of new energy electric vehicles, the convenience and safety of energy replenishment have become increasingly important. However, at present, there are situations where new and old charging piles coexist at the charging pile side and users abuse them (such as randomly placing the charging gun end after charging is completed), and there are situations such as multiple pluggings and unplugging of the charging port or accumulation of foreign matters such as dust at the vehicle side, resulting in abnormal temperature rise of the terminals connecting the charging pile to the vehicle during charging, and there is a potential risk of fire during charging. The existing abnormal detection of charging piles mainly relies on pile-side sensors (such as temperature sensors and voltage sensors), and it is difficult to obtain accurate aging detection results of charging piles. Summary of the Invention

[0003] In view of this, the present invention provides a method for identifying abnormal charging piles to solve the problem of low detection accuracy of aging charging piles in related technologies.

[0004] In a first aspect, the present invention provides a method for identifying abnormal charging piles, which obtains charging data, where the charging data includes the terminal temperature during the charging process of the charging pile to the vehicle;

[0005] Performs feature extraction processing on the charging data to obtain a charging feature, where the charging feature represents the change rate of the terminal temperature;

[0006] Determines a prediction result of the change rate of the terminal temperature corresponding to the charging feature, where the prediction result of the change rate of the terminal temperature represents the change amount of the terminal temperature per unit time;

[0007] Judges the abnormal state of the charging pile according to the prediction result and the current actual temperature change rate.

[0008] Through the technical solution of the present invention, taking the change rate of the terminal temperature as the charging feature can accurately reflect the working state of the terminal; by determining the prediction result of the change rate of the terminal temperature corresponding to the charging feature, a reliable reference is provided for identifying the abnormal working state of the charging pile; judging the abnormal state of the charging pile according to the prediction result and the current actual temperature change rate, and by comparing the predicted value with the actual value, the detection accuracy of aging charging piles is improved, and an early warning of aging charging piles is provided for users.

[0009] In an optional embodiment, the charging data further includes the charging current, ambient temperature and charging pile parameters during the charging process of the charging pile to the vehicle, and determining the prediction result of the change rate of the terminal temperature corresponding to the charging feature includes:

[0010] During the first charging period, a prediction result is determined based on the charging current, contact resistance, and contact heat capacity. The charging pile parameters include contact resistance and contact heat capacity;

[0011] During the second charging period, a prediction result is determined based on the historical charging data and charging current of the charging pile, where the time corresponding to the first charging period is earlier than the time corresponding to the second charging period.

[0012] Through this embodiment, a predicted value is provided for the change rate of the terminal temperature in different time periods, which can be used to quickly identify abnormal charging piles, or provide a dynamic evaluation model for identifying abnormal charging piles, improving the reliability of abnormal identification.

[0013] In an alternative embodiment, feature extraction processing is performed on the charging data to obtain charging features, including:

[0014] Perform data preprocessing on the charging data to obtain the first charging data;

[0015] Filter the first charging data to obtain the second charging data;

[0016] According to the terminal temperature and ambient temperature in the second charging data, normalize the terminal temperature to the standard terminal temperature;

[0017] Take the change rate of the standard terminal temperature within a unit time as the charging feature.

[0018] Through this embodiment, a reliable data source is provided for analyzing abnormal charging piles.

[0019] In an alternative embodiment, according to the prediction result and the current actual temperature change rate, judge the abnormal state of the charging pile, including:

[0020] According to the prediction result and the actual temperature change rate, determine the residual value of the current temperature change rate;

[0021] If the absolute value of the residual value is greater than or equal to the residual threshold, mark the charging pile as in an abnormal state.

[0022] Through this embodiment, an abnormal charging pile with a large difference between the actual temperature change rate and the prediction result, abnormal temperature change, and high risk is obtained.

[0023] In an alternative embodiment, according to the prediction result and the current actual temperature change rate, judge the abnormal state of the charging pile, and further include:

[0024] According to the model of the current vehicle, compensate the prediction result corresponding to the vehicle to the standard prediction value;

[0025] Determine the number of faults in which the charging pile is marked as an abnormal state by at least two vehicles within a preset time according to the standard predicted value and the actual temperature change rate;

[0026] Mark the charging pile as an aging charging pile according to the number of faults and the fault threshold.

[0027] Through this embodiment, by means of a multi-vehicle collaborative verification strategy, the abnormal charging pile is further determined as an aging charging pile with high credibility.

[0028] In an alternative embodiment, after marking the charging pile as an aging charging pile according to the number of faults and the fault threshold, it further includes:

[0029] Synchronize the information of the aging charging pile to the public database;

[0030] In response to the user opening the map application, based on the public database, identify the location of the aging charging pile in the map application;

[0031] In response to the user selecting the aging charging pile, display the historical warning times and the most recent detection time of the aging charging pile;

[0032] In response to the user navigating to the aging charging pile, based on the public database, display the warning information in a multimedia manner.

[0033] Through this embodiment, the information synchronization and user reminder of the aging charging pile are realized.

[0034] In an alternative embodiment, obtaining charging data includes:

[0035] Obtain the charging data collected in real time by the vehicle-end sensor of the vehicle;

[0036] Encrypt the charging data into a charging data encryption package;

[0037] Upload the charging data encryption package to the cloud server.

[0038] Through this embodiment, the original data source for identifying abnormal charging piles is provided, and secure charging data is obtained in the cloud.

[0039] In a second aspect, the present invention provides an identification device for abnormal charging piles, and the device includes:

[0040] An acquisition module, configured to acquire charging data, where the charging data includes the terminal temperature during the charging process of the charging pile to the vehicle;

[0041] A feature extraction module, configured to perform feature extraction processing on the charging data to obtain a charging feature, where the charging feature represents the change rate of the terminal temperature;

[0042] A prediction module, configured to determine a prediction result of a change rate of a terminal temperature corresponding to a charging characteristic, where the prediction result of the change rate of the terminal temperature represents a change amount of the terminal temperature per unit time;

[0043] A judgment module, configured to judge an abnormal state of the charging pile according to the prediction result and the current actual temperature change rate.

[0044] In a third aspect, the present invention provides a computer device, including: a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to execute the method for identifying an abnormal charging pile according to the first aspect or any corresponding embodiment thereof.

[0045] In a fourth aspect, the present invention provides a computer-readable storage medium, on which computer instructions are stored, and the computer instructions are used to cause a computer to execute the method for identifying an abnormal charging pile according to the first aspect or any corresponding embodiment thereof.

[0046] In a fifth aspect, the present invention provides a computer program product, including computer instructions, and the computer instructions are used to cause a computer to execute the method for identifying an abnormal charging pile according to the first aspect or any corresponding embodiment thereof. Description of the Drawings

[0047] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0048] Figure 1 is a flowchart of a method for identifying an abnormal charging pile according to an embodiment of the present invention;

[0049] Figure 2 is a flowchart of another method for identifying an abnormal charging pile according to an embodiment of the present invention;

[0050] Figure 3 is a flowchart of yet another method for identifying an abnormal charging pile according to an embodiment of the present invention;

[0051] Figure 4 is a flowchart of still another method for identifying an abnormal charging pile according to an embodiment of the present invention;

[0052] Figure 5 is a flowchart of a method for identifying an aging charging pile according to an embodiment of the present invention;

[0053] Figure 6 It is a flowchart of a method for warning an aging charging pile according to an embodiment of the present invention;

[0054] Figure 7 It is a flowchart of a method for identifying an abnormal charging pile by obtaining charging data according to an embodiment of the present invention;

[0055] Figure 8 It is a schematic diagram of a three - level architecture of vehicle, cloud, and terminal according to an embodiment of the present invention;

[0056] Figure 9 It is a working timing diagram of a method for identifying an abnormal charging pile according to an embodiment of the present invention;

[0057] Figure 10 It is a structural block diagram of a device for identifying an abnormal charging pile according to an embodiment of the present invention;

[0058] Figure 11 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. Detailed implementation manners

[0059] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0060] In the scenario of safety monitoring and operation and maintenance management of public charging stations, it can be used for real - time fault warning. In charging stations in public places such as shopping malls and highway service areas, the system can monitor the abnormal temperature of the terminals of charging piles in real time. Combining with current fluctuation data, it can warn in advance of potential safety hazards (such as overheating, short - circuit, etc.) caused by circuit aging, poor contact, or overload, and automatically trigger power - off protection to prevent fire accidents. It can also be used to improve operation and maintenance efficiency. Combining with the charging pile management platform, it can push abnormal data to operation and maintenance personnel, quickly locate the fault point and dispatch work orders, reducing the cost of manual inspection. It is applicable to smart parks or urban charging networks that require centralized management of a large number of charging piles.

[0061] In the scenario of false - alarm filtering in areas with frequent power grid fluctuations, it can be used to handle power - off or power - on scenarios. In areas where the power grid is unstable or there are many distributed energy accesses (such as remote areas or micro - grid systems), charging piles are prone to false alarms due to instantaneous current fluctuations when the power suddenly comes on. The technical solution of the present invention can distinguish real anomalies from instantaneous fluctuations by analyzing the temperature change rate and historical data, reducing the number of false alarms and improving the reliability of the system.

[0062] In the health monitoring of charging piles in high-precision metering scenarios, it can be used in trade settlement guarantee scenarios. For charging piles that are sensitive to energy metering (such as public fast charging piles), abnormal terminal temperature may affect the metering accuracy. By monitoring the temperature change rate, aging problems caused by increased contact resistance can be identified, and metering equipment can be calibrated to ensure user billing fairness. It is suitable for charging infrastructure projects regulated by the government.

[0063] In the comprehensive safety management scenario of communities and commercial areas, it can be used to prevent fire hazards. In residential areas or underground parking lots, long-term use of charging piles is prone to fires due to aging lines. The technical solution of the present invention can be integrated into the intelligent charging pile system (such as the smart charging shed in the Shanghai Robot Industrial Park), combined with over-temperature alarm and automatic power-off functions to prevent fire risks caused by abnormal accumulation of terminal temperature. It can also be used to extend the life of equipment, and provide data support for charging pile maintenance by periodically monitoring temperature change trends. It is suitable for dedicated charging stations that require long-term stable operation (such as logistics fleet charging centers).

[0064] In the intelligent upgrade scenario of the new energy vehicle charging network, it can be used for the collaborative application of artificial intelligence (AI) and the Internet of Things. Combined with the AI video monitoring system, the technical solution of the present invention can supplement the abnormal recognition dimension of temperature data to form a multimodal monitoring network. For example, when the charging pile triggers an early warning due to high temperature, the system can link the camera to capture the scene to assist in determining whether it is a real fault (such as smoke or fire), further improving the safety response capability.

[0065] The core value of the technical solution of the present invention lies in accurately identifying the hidden aging problems of charging piles through dynamic temperature change rate analysis. It is suitable for charging scenarios that require high reliability and high safety, and is particularly suitable for combination with the Internet of Things platform, AI algorithm and smart city infrastructure to promote the intelligence and standardization of charging pile management.

[0066] The embodiment of the present invention provides a method for identifying an abnormal charging pile, by acquiring charging data, the charging data including the charging current, terminal temperature, ambient temperature and charging pile parameters during the charging process of the charging pile to the vehicle; performing feature extraction processing on the charging data to obtain charging features, the charging features representing the rate of change of the terminal temperature; determining the predicted result of the rate of change of the terminal temperature corresponding to the charging features, the predicted result of the rate of change of the terminal temperature representing the amount of change of the terminal temperature per unit time; judging the charging pile as being in an abnormal state according to the predicted result and the current actual temperature change rate. The detection accuracy of aging charging piles is improved, and an early warning of aging charging piles is provided to users.

[0067] According to an embodiment of the present invention, an embodiment of a method for identifying an abnormal charging pile is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0068] In this embodiment, a method for identifying an abnormal charging pile is provided, which can be used for the vehicle end or the cloud end. Figure 1 It is a flowchart of the method for identifying an abnormal charging pile according to an embodiment of the present invention, as Figure 1 shown, and the process includes the following steps:

[0069] Step S101, obtain charging data, where the charging data includes the terminal temperature during the charging process of the charging pile to the vehicle.

[0070] In this embodiment, the charging data refers to the terminal temperature of the charging gun obtained at the vehicle end during the charging process of the charging pile to the vehicle. Among them, the terminal temperature is measured by a temperature sensor built in the terminal and sent to the vehicle end, or during the charging process, the temperature sensor set at the charging port of the vehicle end measures the temperature of the terminal.

[0071] Step S102, perform feature extraction processing on the charging data to obtain a charging feature, where the charging feature represents the change rate of the terminal temperature.

[0072] In this embodiment, the charging feature refers to the change rate of the terminal temperature of the charging gun, which reflects the speed of temperature increase or decrease during the charging process. After performing feature extraction processing on the charging data, the charging feature can be obtained.

[0073] Step S103, determine the prediction result of the change rate of the terminal temperature corresponding to the charging feature, where the prediction result of the change rate of the terminal temperature represents the change amount of the terminal temperature per unit time.

[0074] In this embodiment, in order to judge the working state of the charging pile, the change rate of the terminal temperature is predicted from the charging feature to obtain the prediction result. Among them, the prediction result of the change rate of the terminal temperature is expressed as the change amount of the terminal temperature per unit time.

[0075] Step S104, judge the abnormal state of the charging pile according to the prediction result and the current actual temperature change rate.

[0076] In this embodiment, the abnormal state of the charging pile refers to the faults that occur when it cannot provide normal charging for the vehicle, such as abnormal conditions like aging of the charging pile, overvoltage or undervoltage, overcurrent or short circuit. If the absolute value of the difference between the prediction result and the current actual temperature change rate is greater than or equal to the preset threshold, it is determined that the charging pile is in an abnormal state. If the absolute value of the difference between the prediction result and the actual temperature change rate is less than the preset threshold, it indicates that the charging pile is in a normal state.

[0077] In this embodiment, a method for identifying an abnormal charging pile is provided, which can be used in the vehicle terminal or cloud mentioned above, such as the central domain controller of the vehicle or the cloud server. Figure 2 It is a flowchart of the method for identifying an abnormal charging pile according to an embodiment of the present invention, as Figure 2 shown, and this process includes the following steps:

[0078] Step S201, obtain charging data, where the charging data includes the charging current, terminal temperature, ambient temperature, and charging pile parameters during the charging process of the charging pile for the vehicle.

[0079] In this embodiment, in addition to the terminal temperature, the charging data also includes the charging current, ambient temperature, and charging pile parameters during the charging process of the charging pile for the vehicle. Among them, the charging current is the current during the charging process of the charging pile for the vehicle terminal; the ambient temperature refers to the temperature of the environment where the charging pile is located, which will affect the measurement of the actual value of the terminal temperature; the charging pile parameters include information such as the number, location, input current, output current, charging interface standard, and electrical performance of the charging pile. During the charging process of the charging pile for the vehicle, the terminal temperature and ambient temperature of the charging pile are measured by the temperature sensor at the vehicle terminal, the charging current of the charging pile for the vehicle terminal is measured by the current sensor, and the charging pile sends the charging pile parameters to the vehicle terminal through communication methods such as network and Bluetooth.

[0080] Step S202, perform feature extraction processing on the charging data to obtain a charging feature, where the charging feature represents the change rate of the terminal temperature.

[0081] For details, please refer to Figure 1 step S102 of the embodiment shown, which will not be elaborated here.

[0082] Step S203, determine the prediction result of the change rate of the terminal temperature corresponding to the charging feature, where the prediction result of the change rate of the terminal temperature represents the change amount of the terminal temperature per unit time.

[0083] Specifically, the above step S203 includes:

[0084] Step S2031, in the first charging time period, determine the prediction result according to the charging current, contact resistance, and contact heat capacity, where the charging pile parameters include the contact resistance and contact heat capacity.

[0085] The first charging time period refers to a period of time when the charging pile starts charging the vehicle. The contact resistance and contact heat capacity refer to the resistance and heat capacity of the circuit contact part between the charging terminal of the charging pile and the vehicle charging port during the charging process.

[0086] During the first charging time period, based on the charging current, contact resistance, and contact heat capacity obtained at the vehicle end, predict the change rate of the terminal temperature of the charging pile to obtain a prediction result.

[0087] In an implementation manner of this embodiment, in the initial stage of charging, that is, during the first charging time period, the change rate dT / dt of the terminal temperature T is equal to the generated heat minus the dissipated heat divided by the heat capacity, where dT represents the change amount of the terminal temperature within the dt time period.

[0088] During the charging process, the heat generated by the contact resistance R and the charging current I at the terminal is I 2 R. The dissipated heat is related to the terminal temperature T and the ambient temperature Tambient. Newton's law of cooling can be used, that is, h*(T - Tambient), where h is the heat dissipation coefficient. In this way, a differential equation can be obtained: dT / dt = (I 2 R - h*(T - Tambient)) / C, where C is the contact heat capacity of the terminal contact point. In the initial stage, for example, within 20 seconds before the start of charging, the terminal temperature T is close to the ambient temperature Tambient, so h*(T - Tambient) is relatively small. At this time, the slope of the temperature rise (the change rate of the terminal temperature) mainly depends on I 2 R / C. Therefore, the initial dT / dt ≈ I 2 R / C. Since the charging current I is known, the slope is directly proportional to the contact resistance R. At this time, if the contact resistance R shows an abnormal increase, such as poor contact or the presence of foreign objects causing an increase in the contact resistance R, then the change rate dT / dt of the terminal temperature will also suddenly increase. Therefore, the change in the contact resistance can be identified by monitoring the change in the slope. Therefore, the slope of the tangent line of the curve of the terminal temperature changing with time at a certain time point in the initial stage of charging can be used to reflect whether the contact resistance has mutated. Using I 2 R / C obtained from the charging current I, contact resistance R, and contact heat capacity C, approximate the change rate of the terminal temperature of the charging pile, so as to obtain the prediction result of the change rate of the terminal temperature within the first time period. Through this method of this embodiment, a basis is provided for the abnormal judgment of the charging pile in the initial stage of charging.

[0089] Step S2032, during the second charging time period, determine the prediction result according to the historical charging data and charging current of the charging pile, where the time corresponding to the first charging time period is earlier than the time corresponding to the second charging time period.

[0090] The second charging time period refers to the time period after the first charging time period during the charging process of the charging pile for the vehicle. During this time period, the historical charging data of the charging pile is used to calculate the change rate of the terminal temperature, and a regression model is established with the charging current. Preferably, a quadratic regression model is established between the change rate of the terminal temperature and the charging current, and this model can be expressed as dT / dt = a*I 2 +b, where I is the charging current, the parameter a is positively correlated with the contact resistance R, and the parameter b is the offset of the temperature change, such as the compensation value for the temperature being too high or too low caused by the temperature sensor error. Through the change rate of the terminal temperature dT / dt and the charging current I calculated from the historical charging data, optionally, the parameters a and b are determined by the least squares method, thereby obtaining this quadratic regression model. Based on this model, the prediction result of the change rate of the terminal temperature corresponding to the current charging current is determined.

[0091] Step S204, according to the prediction result and the current actual temperature change rate, judge the abnormal state of the charging pile.

[0092] For details, please refer to Figure 1 Step S104 of the illustrated embodiment, which will not be elaborated here.

[0093] Through the method of step S203 of this embodiment, at different charging stages, the change rate of the terminal temperature is predicted by different methods, obtaining a more reliable change rate of the terminal temperature, providing a data reference for the judgment of the charging pile abnormality.

[0094] In this embodiment, a method for identifying an abnormal charging pile is provided, which can be used in the above-mentioned vehicle end or cloud end, such as the central domain controller or cloud server of the vehicle Figure 3 is a flowchart of the method for identifying an abnormal charging pile according to an embodiment of the present invention, as Figure 3 shown, and this process includes the following steps:

[0095] Step S301, obtain charging data, where the charging data includes the charging current, terminal temperature, ambient temperature, and charging pile parameters during the charging process of the charging pile for the vehicle.

[0096] For details, please refer to Figure 2 Step S201 of the illustrated embodiment, which will not be elaborated here.

[0097] Step S302, perform feature extraction processing on the charging data to obtain charging features, where the charging features represent the change rate of the terminal temperature.

[0098] Specifically, the above step S302 includes:

[0099] Step S3021, perform data preprocessing on the charging data to obtain the first charging data.

[0100] The first charging data refers to the pre - processing result of the charging data. Optionally, obvious outliers in the charging data are deleted, such as negative temperature values or values exceeding the preset temperature range. Optionally, missing values within a period of time are supplemented. The charging data is pre - processed into the first charging data to ensure the reliability of the collected data.

[0101] Step S3022: Filter the first charging data to obtain the second charging data.

[0102] The second charging data is the data of the terminal temperature after filtering. After obtaining the terminal temperature data in the charging data, a moving window mean filter is performed on the terminal temperature. For example, with a window length of 5 seconds, the recorded terminal temperature is subjected to mean filtering to eliminate the noise data in the terminal temperature.

[0103] Step S3023: Normalize the terminal temperature to the standard terminal temperature according to the terminal temperature and the ambient temperature in the second charging data.

[0104] The standard terminal temperature refers to the result of normalizing the terminal temperature in the second charging data. Optionally, the filtered terminal temperature data is normalized to compensate for the influence of the ambient temperature on the terminal temperature. For example, the difference between the terminal temperature and the ambient temperature is converted into an equivalent temperature difference at the reference ambient temperature. This conversion can be achieved through the following formula:

[0105] ΔTnorm=ΔTmeasured·(1 + k·(Tambient - Trefence))

[0106] Where, ΔTnorm is the normalized equivalent temperature difference, k is the compensation coefficient (which can be calibrated through experiments, and the typical value is 0.01℃ - 0.05℃); Tambient is the ambient temperature; Trefence is the reference ambient temperature, such as 25 degrees Celsius; ΔTmeasured is the difference between the terminal temperature and the ambient temperature.

[0107] Step S3024: Take the change rate of the standard terminal temperature per unit time as the charging feature.

[0108] Take the change rate of the normalized equivalent temperature difference per unit time as the charging feature.

[0109] Step S303: Determine the prediction result of the change rate of the terminal temperature corresponding to the charging feature. The prediction result of the change rate of the terminal temperature represents the change amount of the terminal temperature per unit time.

[0110] For details, please refer to Figure 1 Step S103 of the illustrated embodiment, which will not be elaborated here.

[0111] Step S304: Determine the abnormal state of the charging pile according to the prediction result and the current actual temperature change rate.

[0112] For details, please refer to Figure 1 Step S104 of the embodiment shown, which will not be elaborated here.

[0113] In this embodiment, the charging data is normalized and the charging characteristics are extracted, providing reliable data support for analyzing abnormal charging piles.

[0114] In this embodiment, a method for identifying abnormal charging piles is provided, which can be used in the above vehicle end or cloud end, such as the central domain controller of the vehicle or the cloud server. Figure 4 It is a flowchart of the method for identifying abnormal charging piles according to the embodiment of the present invention. As Figure 4 shown, the process includes the following steps:

[0115] Step 401: Obtain charging data, where the charging data includes the terminal temperature during the charging process of the charging pile to the vehicle.

[0116] For details, please refer to Figure 1 Step S101 of the embodiment shown, which will not be elaborated here.

[0117] Step S402: Perform feature extraction processing on the charging data to obtain charging characteristics, where the charging characteristics represent the change rate of the terminal temperature.

[0118] For details, please refer to Figure 2 Step S202 of the embodiment shown, which will not be elaborated here.

[0119] Step S403: Determine the prediction result of the change rate of the terminal temperature corresponding to the charging characteristics, where the prediction result of the change rate of the terminal temperature represents the change amount of the terminal temperature per unit time.

[0120] For details, please refer to Figure 1 Step S103 of the embodiment shown, which will not be elaborated here.

[0121] Step S404: Determine that the charging pile is in an abnormal state according to the prediction result and the current actual temperature change rate.

[0122] Specifically, the above step S404 includes:

[0123] Step S4041: Determine the residual value of the current temperature change rate according to the prediction result and the actual temperature change rate;

[0124] In this embodiment, the actual temperature change rate refers to the change rate of the terminal temperature within the currently collected unit time. Based on this actual temperature change rate and the prediction result, the difference between the two is calculated as the residual value.

[0125] Step S4042: If the absolute value of the residual value is greater than or equal to the residual threshold, mark the charging pile as in an abnormal state.

[0126] In this embodiment, the residual threshold is a value for measuring whether the residual value is too large. Optionally, 3 times the standard deviation of the residual values calculated from historical charging data is used as the residual threshold. By comparing the absolute value of the residual value with the residual threshold, if the absolute value of the residual value is greater than or equal to the residual threshold, it indicates that the prediction result differs greatly from the actual temperature change rate, and then the charging pile is marked as in an abnormal state.

[0127] In one implementation manner of this embodiment, the actual temperature change rate (dT / dt)_measured and the prediction result a*I 2 +b are calculated through ε = (dT / dt)_measured - (a*I 2 +b), and the residual value ε between them is calculated.

[0128] If (|ε| > 3δ), mark the charging pile as in an abnormal state, where δ is the standard deviation of the residual values calculated from historical charging data.

[0129] Through the method of step S404 in this embodiment, by comparing the predicted value and the actual value of the change rate of the charging temperature during the charging process in the second time period, a reliable judgment basis is provided for abnormal charging piles, and the accuracy of identifying abnormal charging piles is improved.

[0130] In this embodiment, a method for identifying abnormal charging piles is provided, which can be used in the above vehicle terminal, such as the central domain controller or cloud server of the vehicle, Figure 5 is a flowchart of the method for identifying an aging charging pile according to the embodiment of the present invention, as Figure 5 shown, and this process includes the following steps:

[0131] Step 501: Obtain charging data, where the charging data includes the charging current, terminal temperature, ambient temperature, and charging pile parameters during the charging process of the charging pile to the vehicle.

[0132] For details, please refer to Figure 2 step S201 in the shown embodiment, which will not be elaborated here.

[0133] Step S502: Perform feature extraction processing on the charging data to obtain charging features, where the charging features represent the change rate of the terminal temperature.

[0134] For details, please refer to Figure 1Step S102 of the illustrated embodiment will not be elaborated herein.

[0135] Step S503, determine the prediction result of the change rate of the terminal temperature corresponding to the charging characteristic, and the prediction result of the change rate of the terminal temperature represents the change amount of the terminal temperature per unit time.

[0136] For details, please refer to Figure 1 Step S103 of the illustrated embodiment will not be elaborated herein.

[0137] Step S504, determine the abnormal state of the charging pile according to the prediction result and the current actual temperature change rate.

[0138] Specifically, the above step S504 includes:

[0139] Step S5041, compensate the prediction result corresponding to the vehicle to a standard prediction value according to the model of the current vehicle.

[0140] According to the model of the current vehicle, look up the relevant coefficient of the liquid-cooled vehicle model from the detailed parameter form of the vehicle, and compensate the prediction result of the change rate of the terminal temperature according to this coefficient to obtain the standard prediction value. Among them, the standard prediction value is the normalized value of the prediction result obtained after adapting the prediction result to different vehicle models. Optionally, multiply b in step S4042 above by different coefficients according to different vehicle models. For example, for a vehicle model with stronger liquid cooling, the prediction result can be calculated by a*I Figure 4 +b*0.6. For a vehicle model with weaker liquid cooling, the prediction result can be calculated by a*I 2 +b*0.8. For a vehicle model without liquid cooling, the prediction result of the change rate of the terminal temperature can be directly calculated by a*I 2 +b. 2 +b to calculate the change rate of the terminal temperature.

[0141] Step S5042, determine the number of faults that the charging pile is marked as in an abnormal state by at least two vehicles within a preset time according to the standard prediction value and the actual temperature change rate.

[0142] Determine the abnormal charging pile according to the comparison between the residual value of the standard prediction value and the actual temperature change rate and the residual threshold; at the same time, record that multiple vehicles use this charging pile within a preset time period, and the number of faults that this charging pile is marked as in an abnormal state.

[0143] Step 5043, mark the charging pile as an aging charging pile according to the number of faults and the fault threshold.

[0144] The fault threshold refers to the value for measuring the number of faults. According to the comparison result between the number of faults and the fault threshold, the charging pile can be marked. If the number of faults is greater than or equal to the fault threshold, the charging pile is marked as an aging charging pile; otherwise, the charging pile is marked as an abnormal charging pile.

[0145] Through the method of this embodiment, by using the strategy of multi-vehicle collaborative verification, the recognition reliability and accuracy of abnormal charging piles or aging charging piles are improved.

[0146] In this embodiment, a method for identifying abnormal charging piles is provided, which can be used in the vehicle end described above, such as the central domain controller of the vehicle. Figure 6 It is a flowchart of the method for warning aging charging piles according to the embodiment of the present invention, as Figure 6 shown, and this process includes the following steps:

[0147] Step 601, obtain charging data, where the charging data includes charging current, terminal temperature, ambient temperature, and charging pile parameters during the charging process of the charging pile to the vehicle.

[0148] For details, please refer to Figure 2 step S201 of the embodiment shown, which will not be elaborated here.

[0149] Step S602, perform feature extraction processing on the charging data to obtain charging features, where the charging features represent the change rate of the terminal temperature.

[0150] For details, please refer to Figure 2 step S202 of the embodiment shown, which will not be elaborated here.

[0151] Step S603, determine the prediction result of the change rate of the terminal temperature corresponding to the charging feature, where the prediction result of the change rate of the terminal temperature represents the change amount of the terminal temperature per unit time.

[0152] For details, please refer to Figure 1 step S103 of the embodiment shown, which will not be elaborated here.

[0153] Step S604, judge the abnormal state of the charging pile according to the prediction result and the current actual temperature change rate.

[0154] Specifically, the above step S604 includes:

[0155] Step S6041, compensate the prediction result corresponding to the vehicle to a standard prediction value according to the model of the current vehicle.

[0156] For details, please refer to Figure 5 step S5041 of the embodiment shown, which will not be elaborated here.

[0157] Step S6042: Determine the number of faults where the charging pile is marked as an abnormal state by at least two vehicles within a preset time according to the standard predicted value and the actual temperature change rate.

[0158] For details, please refer to Figure 5 Step S5042 of the illustrated embodiment, which will not be elaborated here.

[0159] Step 6043: Mark the charging pile as an aging charging pile according to the number of faults and the fault threshold.

[0160] For details, please refer to Figure 5 Step S5043 of the illustrated embodiment, which will not be elaborated here.

[0161] Step 6044: Synchronize the information of the aging charging pile to the public database.

[0162] In this embodiment, after determining that the charging pile is an aging charging pile through the vehicle end, the charging pile information of the aging charging pile is synchronized to the public database to provide an early warning service for the public. Optionally, the data structure of the information of the aging charging pile to be synchronized can be designed as:

[0163] "{

[0164] "charger_id":"CN-SH-0001",

[0165] "location":"31.2304,121.4737",

[0166] "risk_level":"high",

[0167] "last_updated":"2025-03-05T14:30:00Z",

[0168] "confidence_score":0.92

[0169] }", where charger_id is the number of the charging pile, location is the location of the charging pile, risk_level is the risk level, last_updated is the time when the vehicle end last collected charging data, and confidence_score is the confidence level for risk level classification.

[0170] The synchronization mechanism can use Apache Kafka to achieve high-throughput data stream processing and low-latency transmission.

[0171] Step 6045: In response to the user opening the map application, based on the public database, identify the location of the aging charging pile in the map application.

[0172] In this embodiment, when the user opens the map application to search for a charging pile, based on the information about aging charging piles in the public database, the positions of the aging charging piles are marked in the map application, prompting the user to avoid using the aging charging piles for charging, thereby avoiding the occurrence of charging failures or anomalies.

[0173] Step 6046, in response to the user selecting an aging charging pile, display the historical alarm count and the most recent detection time of the aging charging pile.

[0174] In this embodiment, if the user or the inspection personnel of the charging pile wants to further understand the aging charging pile, when the user selects the aging charging pile in the application, display information such as the historical alarm count and the most recent detection time of the aging charging pile.

[0175] Step 6047, in response to the user navigating to the aging charging pile, based on the public database, display the alarm information in a multimedia manner.

[0176] In this embodiment, if the user navigates to the aging charging pile through the in-vehicle unit or the mobile terminal, then based on the information about the aging charging pile recorded in the public database, display the alarm information in a multimedia manner. For example, through voice prompts, indicate that the current destination charging pile is an aging charging pile and suggest changing the destination to select a normal charging pile. Or push information through the mobile phone application to remind the user that the current charging pile is an aging charging pile, where the content of the push information can be: "Warning: The temperature rise of XX charging station (ID: CN-XX-0001) has been abnormal recently. It is recommended to change the charging pile / station."

[0177] Through the method of this embodiment, an early warning of aging charging piles is provided for the user.

[0178] In this embodiment, a method for identifying abnormal charging piles is provided, which can be used in the above-mentioned vehicle end, such as the central domain controller of the vehicle. Figure 7 It is a flowchart of the method for identifying abnormal charging piles by obtaining charging data according to an embodiment of the present invention, as Figure 7 shown, and this process includes the following steps:

[0179] Step S701, obtain charging data, where the charging data includes the charging current, terminal temperature, ambient temperature, and charging pile parameters during the charging process of the charging pile to the vehicle.

[0180] Specifically, the above step S701 includes:

[0181] Step S7011, obtain the charging data collected in real time by the vehicle end sensors of the vehicle;

[0182] After the charging terminal is inserted into the charging port of the vehicle, the vehicle-side sensors of the vehicle collect charging data in real time. For example, temperature sensors and ammeters collect data such as the temperature of the charging terminal and the environment, the charging current, and the parameters of the charging pile as charging data.

[0183] Step S7012: Encrypt the charging data into a charging data encryption package;

[0184] Encrypt the charging data through an encryption algorithm to obtain a charging data encryption package to ensure the secure transmission of the charging data.

[0185] Step S7013: Upload the charging data encryption package to the cloud server.

[0186] To analyze the charging data in the cloud, upload the charging data encryption package to the cloud server.

[0187] Step S702: Perform feature extraction processing on the charging data to obtain charging features, where the charging features represent the change rate of the terminal temperature.

[0188] For details, please refer to Figure 1 Step S102 of the embodiment shown, which will not be elaborated here.

[0189] Step S703: Determine the prediction result of the change rate of the terminal temperature corresponding to the charging feature, where the prediction result of the change rate of the terminal temperature represents the change amount of the terminal temperature per unit time.

[0190] For details, please refer to Figure 1 Step S103 of the embodiment shown, which will not be elaborated here.

[0191] Step S704: Judge the abnormal state of the charging pile according to the prediction result and the current actual temperature change rate.

[0192] For details, please refer to Figure 1 Step S104 of the embodiment shown, which will not be elaborated here.

[0193] Through the method of this embodiment, the secure transmission of the charging data of the charging pile and the analysis in the cloud are realized.

[0194] In this embodiment, a method for identifying abnormal charging piles is provided, which is realized through the vehicle side, the charging pile, the cloud, and the user terminal. Figure 8 It is a schematic diagram of the vehicle-cloud-terminal three-level architecture according to an embodiment of the present invention. Combining Figure 8 As shown, the identification of abnormal charging piles in this embodiment adopts a vehicle-cloud-terminal three-level architecture, and through vehicle-side data collection, cloud big data modeling and collaborative analysis, and user-side dynamic early warning, the intelligent identification of charging pile terminal aging is realized. The system architecture is divided into the following modules:

[0195] The vehicle - end data acquisition module is integrated into the electric vehicle charging system, and it collects key parameters during the charging process in real - time, such as the temperatures of the positive and negative terminals of the charging gun of the charging pile, ambient temperature, current, charging pile identification number (identification, ID), Global Position System (GPS) location, timestamp, State Of Charge (SOC), charging voltage and other data, and receives the input current of the charging pile terminal and synchronizes it to the cloud data acquisition platform.

[0196] The cloud analysis platform: After the cloud data acquisition platform transfers the charging data of multiple vehicles to the cloud analysis platform, a dynamic aging assessment model is established to analyze the change rate of the terminal temperature, and the analysis result is obtained, so as to detect whether the terminal contact resistance is abnormal and identify abnormal charging piles.

[0197] The user interaction terminal: According to the identification result of the abnormal charging pile by the cloud in the user interaction terminal, risk information is pushed to the user terminal or in - vehicle system, and the health status of the charging pile is queried. The user interaction terminal can include terminal devices such as smart phones, computers, and smart glasses.

[0198] In this embodiment, a method for identifying abnormal charging piles is provided, which is implemented through the vehicle - end, charging pile, cloud, and user terminal. Figure 9 It is the working timing diagram of the method for identifying abnormal charging piles according to the embodiment of the present invention, combined with Figure 9As shown, during the charging process of the charging pile for the vehicle, the terminal input current is charged into the vehicle end. The vehicle end records the charging data, and receives the high-throughput data streams collected from numerous vehicles through the message middleware Apache Kafka. Then, the noise data introduced during the acquisition of the terminal temperature is eliminated through a sliding window and mean filtering, and then normalized processing is performed. The data of the temperature increase change is compensated to achieve the preprocessing of the charging current I, the terminal temperature T_terminal, the ambient temperature Tambient, the ID of the charging pile, the GPS position and timestamp, the battery SOC, and the charging voltage V. The preprocessed charging data is synchronized to the data acquisition platform, and the terminal contact resistance feature is extracted as the charging feature. In the analysis platform, the characteristic parameters in the initial stage of charging are used as the charging feature, and a relationship model between the temperature change and the charging current is established. Optionally, a quadratic regression model is used as this relationship model. The prediction result of the change rate of the terminal temperature is obtained by using this relationship model, and the residual is calculated based on this prediction result and the actual change rate of the terminal temperature. Among them, for the prediction result, compensation is required according to the differences in vehicle models. In addition, in order to obtain a more reliable prediction result, the status of this charging pile is determined through multi-vehicle collaborative verification. If this charging pile is determined to be an aging charging pile after analysis and the information of the aging charging pile is synchronized to the data acquisition platform in the cloud, then in the user interaction terminal, based on the information of the aging charging pile synchronized in the cloud, the health status of the charging pile is queried, and the health status of the aging charging pile is marked in the user terminal, for example, marked with colors or scores. At the same time, for abnormal charging piles, they are visualized in the risk map, and an active alarm is given when the user navigates to this charging pile.

[0199] In this embodiment, a method for identifying an abnormal charging pile is provided. This method is applied to the vehicle end. After the charging gun (terminal) of the charging pile is connected to the charging port of the vehicle and starts charging, the charging current, terminal temperature, ambient temperature, and charging pile parameters during the charging process are recorded. Data preprocessing is performed on the terminal temperature, and the change rate of the terminal temperature is used as the charging feature. According to the charging feature, in the initial stage of charging, the change rate of the terminal temperature is constructed by using the charging current, the contact resistance and contact heat capacity of the terminal in the charging pile parameters. After the initial stage of charging, a quadratic regression model of the charging current and the change rate of the terminal temperature is constructed, and the predicted value of the change rate of the terminal temperature corresponding to the charging feature is predicted based on this quadratic regression model. According to the comparison result between the predicted value and the actual change rate of the terminal temperature, the status of the charging pile is judged, so as to determine the abnormal charging pile.

[0200] In this embodiment, a method for identifying an abnormal charging pile is provided. This method is applied to the cloud and receives the charging current, terminal temperature, ambient temperature, and charging pile parameters collected by the vehicle end. Data preprocessing is performed on the terminal temperature, and the change rate of the terminal temperature is used as the charging feature. According to the charging feature, at the initial stage of charging, the change rate of the terminal temperature is constructed by using the charging current, the contact resistance and contact heat capacity of the terminal in the charging pile parameters. After the initial stage of charging, a quadratic regression model of the change rates of the charging current and the terminal temperature is constructed, and the predicted value of the change rate of the terminal temperature corresponding to the charging feature is predicted based on this quadratic regression model. According to the comparison result between the predicted value and the actual change rate of the terminal temperature, the abnormal state of the current charging pile is determined. Analyze the charging data collected by other vehicles charging with this charging pile, and perform the same analysis. If this charging pile is repeatedly judged as an abnormal vehicle, then this charging pile is judged as an aging charging pile.

[0201] In this embodiment, an apparatus for identifying an abnormal charging pile is also provided. This apparatus is used to implement the above-mentioned embodiment and preferred implementation manners, and those that have been described will not be repeated. As used hereinafter, the term "module" can be a combination of software and / or hardware that can achieve a predetermined function. Although the apparatus described in the following embodiments is preferably implemented in software, implementation in hardware, or a combination of software and hardware is also possible and contemplated.

[0202] This embodiment provides an apparatus for identifying an abnormal charging pile, as Figure 10 shown, including:

[0203] An acquisition module 1001, configured to acquire charging data, where the charging data includes the terminal temperature during the charging process of the charging pile for the vehicle;

[0204] A feature extraction module 1002, configured to perform feature extraction processing on the charging data to obtain a charging feature, where the charging feature represents the change rate of the terminal temperature;

[0205] A prediction module 1003, configured to determine the prediction result of the change rate of the terminal temperature corresponding to the charging feature, where the prediction result of the change rate of the terminal temperature represents the change amount of the terminal temperature per unit time;

[0206] A judgment module 1004, configured to judge the abnormal state of the charging pile according to the prediction result and the current actual temperature change rate.

[0207] In some alternative implementation manners, the charging data further includes the charging current, the ambient temperature, and the charging pile parameters during the charging process of the charging pile for the vehicle. The prediction module 1003 includes:

[0208] A first prediction unit, configured to determine a prediction result according to a charging current, a contact resistance, and a contact heat capacity during a first charging time period, where the charging pile parameters include the contact resistance and the contact heat capacity;

[0209] A second prediction unit, configured to determine a prediction result according to historical charging data and a charging current of the charging pile during a second charging time period, where the time corresponding to the first charging time period is earlier than the time corresponding to the second charging time period.

[0210] In some alternative embodiments, the feature extraction module 1002 includes:

[0211] A preprocessing unit, configured to perform data preprocessing on charging data to obtain first charging data;

[0212] A filtering unit, configured to filter the first charging data to obtain second charging data;

[0213] A normalization unit, configured to normalize the terminal temperature to a standard terminal temperature according to the terminal temperature and the ambient temperature in the second charging data;

[0214] A feature determination unit, configured to use the change rate of the standard terminal temperature per unit time as a charging feature.

[0215] In some alternative embodiments, the judgment module 1004 includes:

[0216] A temperature residual determination unit, configured to determine a residual value of the current temperature change rate according to the prediction result and the actual temperature change rate;

[0217] A judgment unit, configured to mark the charging pile as an abnormal state if the absolute value of the residual value is greater than or equal to a residual threshold.

[0218] In some alternative embodiments, the judgment module 1004 further includes:

[0219] A compensation unit, configured to compensate the prediction result corresponding to the vehicle to a standard prediction value according to the model of the current vehicle;

[0220] A fault recording unit, configured to determine the number of faults that the charging pile is marked as an abnormal state by at least two vehicles within a preset time according to the standard prediction value and the actual temperature change rate;

[0221] A marking unit, configured to mark the charging pile as an aging charging pile according to the number of faults and a fault threshold.

[0222] In some alternative embodiments, the marking unit includes:

[0223] An information synchronization subunit, configured to synchronize the information of the aging charging pile to a public database;

[0224] A location identification subunit, configured to identify the location of aging charging piles in the map application based on a public database in response to a user opening the map application;

[0225] A display subunit, configured to display the historical alarm times and the most recent detection time of the aging charging pile in response to a user selecting the aging charging pile;

[0226] An alarm subunit, configured to display alarm information in a multimedia manner based on a public database in response to a user navigating to the aging charging pile.

[0227] In some alternative embodiments, the acquisition module 1001 includes:

[0228] A charging data acquisition unit, configured to acquire real-time charging data collected by vehicle-mounted sensors of a vehicle;

[0229] A charging data encryption unit, configured to encrypt the charging data into a charging data encryption package;

[0230] A charging data upload unit, configured to upload the charging data encryption package to a cloud server.

[0231] The further function descriptions of the above-mentioned various modules and units are the same as those in the corresponding foregoing embodiments, and will not be elaborated herein.

[0232] The abnormal charging pile identification device 10 in this embodiment is presented in the form of functional units. Here, the unit refers to an application specific integrated circuit (ASIC), a processor and a memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0233] The embodiment of the present invention further provides a computer device having the above-mentioned Figure 10 abnormal charging pile identification device.

[0234] Please refer to Figure 11 , Figure 11 which is a schematic structural diagram of a computer device provided by an alternative embodiment of the present invention. As shown in Figure 11As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting the components, including a high-speed interface and a low-speed interface. Each component communicates with each other using different buses and can be installed on a common motherboard or installed in other ways as needed. The processor can process instructions executed within the computer device, including instructions stored in the memory or on the memory to display graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some alternative embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a set of blade servers, or a multi-processor system). Figure 11 In this example, a single processor 10 is used as an example.

[0235] The processor 10 can be a central processing unit, a network processor, or a combination thereof. Among them, the processor 10 can further include a hardware chip. The above hardware chip can be an application-specific integrated circuit, a programmable logic device, or a combination thereof. The above programmable logic device can be a complex programmable logic device, a field-programmable gate array, a generic array logic, or any combination thereof.

[0236] Among them, the memory 20 stores instructions executable by at least one processor 10, so that at least one processor 10 executes the methods shown in the above embodiments.

[0237] The memory 20 can include a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created according to the use of the computer device, etc. In addition, the memory 20 can include a high-speed random access memory, and can also include a non-transitory memory, such as at least one disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some alternative embodiments, the memory 20 can optionally include a memory remotely set relative to the processor 10, and these remote memories can be connected to the computer device through a network. Examples of the above network include but are not limited to the Internet, an enterprise intranet, a local area network, a mobile communication network, and a combination thereof.

[0238] The memory 20 can include a volatile memory, such as a random access memory; the memory can also include a non-volatile memory, such as a flash memory, a hard disk, or a solid-state drive; the memory 20 can also include a combination of the above types of memories.

[0239] The computer device further includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30, and the output device 40 can be connected through a bus or other means.Figure 10 Take the bus connection as an example.

[0240] The input device 30 can receive input digital or character information, and generate key signal inputs related to the user settings and function controls of the computer device, such as a touch screen, a keypad, a mouse, a trackpad, a touchpad, a pointing stick, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 can include a display device, an auxiliary lighting device (e.g., an LED), and a haptic feedback device (e.g., a vibration motor), etc. The above display device includes, but is not limited to, a liquid crystal display, a light emitting diode, a display, and a plasma display. In some alternative embodiments, the display device can be a touch screen.

[0241] The embodiments of the present invention also provide a computer-readable storage medium. The method according to the embodiments of the present invention can be implemented in hardware, firmware, or be implemented as computer code that can be recorded on a storage medium, or be implemented by downloading through a network the original computer code stored in a remote storage medium or a non-transitory machine-readable storage medium and to be stored in a local storage medium, so that the method described herein can be stored as such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid-state drive, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by the computer, the processor, or the hardware, the method shown in the above embodiments is implemented.

[0242] A part of the present invention can be applied as a computer program product, such as computer program instructions. When executed by a computer, through the operation of the computer, the methods and / or technical solutions according to the present invention can be invoked or provided. Those skilled in the art should be able to understand that the forms of existence of computer program instructions in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Herein, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible by the computer.

[0243] Although embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations fall within the scope defined by the appended claims.

Claims

1. A method for identifying an abnormal charging pile, characterized in that, The method includes: Obtaining charging data, where the charging data includes the terminal temperature during the charging of a vehicle by a charging pile; Performing feature extraction processing on the charging data to obtain a charging feature, where the charging feature represents the change rate of the terminal temperature; Determining a prediction result of the change rate of the terminal temperature corresponding to the charging feature, where the prediction result of the change rate of the terminal temperature represents the change amount of the terminal temperature per unit time; Judging the abnormal state of the charging pile according to the prediction result and the current actual temperature change rate.

2. The method according to claim 1, wherein The charging data further includes the charging current, ambient temperature, and charging pile parameters during the charging of a vehicle by a charging pile. Determining the prediction result of the change rate of the terminal temperature corresponding to the charging feature includes: In a first charging time period, determining the prediction result according to the charging current, contact resistance, and contact heat capacity, where the charging pile parameters include the contact resistance and the contact heat capacity; In a second charging time period, determining the prediction result according to the historical charging data of the charging pile and the charging current, where the time corresponding to the first charging time period is earlier than the time corresponding to the second charging time period.

3. The method according to claim 2, wherein Performing feature extraction processing on the charging data to obtain a charging feature includes: Performing data preprocessing on the charging data to obtain first charging data; Filtering the first charging data to obtain second charging data; Normalizing the terminal temperature to a standard terminal temperature according to the terminal temperature and ambient temperature in the second charging data; Taking the change rate of the standard terminal temperature per unit time as the charging feature.

4. The method according to claim 1, wherein Judging the abnormal state of the charging pile according to the prediction result and the current actual temperature change rate includes: Determining the residual value of the current temperature change rate according to the prediction result and the actual temperature change rate; If the absolute value of the residual value is greater than or equal to a residual threshold, marking the charging pile as the abnormal state.

5. The method according to claim 1, wherein Judging the abnormal state of the charging pile according to the prediction result and the current actual temperature change rate further includes: Compensating the prediction result corresponding to the vehicle to a standard prediction value according to the model of the current vehicle; Determining the number of faults that the charging pile is marked as abnormal by at least two vehicles within a preset time according to the standard prediction value and the actual temperature change rate; Marking the charging pile as an aging charging pile according to the number of faults and a fault threshold.

6. The method according to claim 5, characterized in that, After marking the charging pile as an aging charging pile according to the number of faults and the fault threshold, it further includes: Synchronizing the information of the aging charging pile to a public database; In response to the user opening a map application, identifying the location of the aging charging pile in the map application based on the public database; In response to the user selecting the aging charging pile, displaying the historical warning times and the most recent detection time of the aging charging pile; In response to the user navigating to the aging charging pile, displaying warning information in a multimedia manner based on the public database.

7. The method according to any one of claims 1 to 6, characterized in that, The obtaining of charging data includes: Obtaining the charging data collected in real time by vehicle-mounted sensors of the vehicle; Encrypting the charging data into a charging data encryption package; Uploading the charging data encryption package to a cloud server.

8. An abnormal charging pile identification device, characterized in that, The device includes: An obtaining module, configured to obtain charging data, where the charging data includes the terminal temperature during the charging of a vehicle by a charging pile; A feature extraction module, configured to perform feature extraction processing on the charging data to obtain a charging feature, where the charging feature represents the change rate of the terminal temperature; A prediction module, configured to determine a prediction result of the change rate of the terminal temperature corresponding to the charging feature, where the prediction result of the change rate of the terminal temperature represents the change amount of the terminal temperature per unit time; A judgment module, configured to judge the abnormal state of the charging pile according to the prediction result and the current actual temperature change rate.

9. A computer device, characterized in that, It includes: A memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to execute the method for identifying an abnormal charging pile according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, Computer instructions are stored on the computer-readable storage medium, and the computer instructions are used to cause a computer to execute the method for identifying an abnormal charging pile according to any one of claims 1 to 7.

11. A computer program product, characterized in that, It includes computer instructions, and the computer instructions are used to cause a computer to execute the method for identifying an abnormal charging pile according to any one of claims 1 to 7.

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