Charging safety protection method, device and medium

Abstract

The present application discloses a charging safety protection method, device and medium, which is based on a charging cloud platform. The method includes: determining that the target new energy device is a high-risk new energy device according to a preset safety evaluation model, sending a protection signal containing high-risk data to the user terminal, so that the user terminal obtains an interference charging event indication according to the protection signal, obtains the high-risk number of the target new energy device, and when the high-risk number does not exceed the preset number, sends a first charging interference instruction containing an interference charging event indication to the target new energy device; when the high-risk number exceeds the preset number, sends a second charging interference instruction containing a preset charging protection measure to the target new energy device. By applying this technical solution, charging interference can be performed according to the interference charging event indication input by the user when the high-risk number does not exceed the preset number, while ensuring the charging safety of high-risk new energy devices, it improves practicality and user experience.

Description

Technical Field

[0001] The present application relates to the field of new energy technology, and in particular to a charging safety protection method, device and medium. Background Art

[0002] With the development of new energy technology and the charging industry, more and more new energy devices (such as electric vehicles) are pouring into the market.

[0003] At present, when electric vehicles are charging at charging stations, the charging stations will determine whether the electric vehicles have quality problems based on the battery charging status of the electric vehicles, and then protect high-risk electric vehicles through preset protection measures of the charging stations (such as prohibiting electric vehicles with quality problems from charging). However, owners of high-risk electric vehicles are unable to set charging protection measures for high-risk electric vehicles based on their own conditions (such as the current urgent need to use the vehicle and the inability to repair the vehicle), thus reducing practicality and user experience.

[0004] It can be seen that after determining that electric vehicles are high-risk vehicles, how to provide safety protection for charging high-risk vehicles to improve practicality and user experience is an urgent problem to be solved by technical personnel in this field. Summary of the Invention

[0005] The purpose of this application is to provide a charging safety protection method for protecting the charging of high-risk new energy equipment, thereby improving practicality and user experience. The purpose of this application is also to provide a charging safety protection device and medium.

[0006] To solve the above technical problems, the present application provides a charging safety protection method based on a charging cloud platform, including:

[0007] Determine the target new energy equipment as high-risk new energy equipment based on the preset safety assessment model;

[0008] Sending a protection signal containing high-risk data to a user terminal, wherein the high-risk data represents identity data of the target new energy device and corresponding abnormal data, so that the user terminal obtains an interference charging event indication according to the protection signal;

[0009] Obtain the high-risk times of the target new energy equipment;

[0010] When it is determined that the high-risk number does not exceed a preset number, a first charging interference instruction is sent to the target new energy equipment, where the first charging interference instruction is generated according to the interference charging event indication;

[0011] When it is determined that the high-risk number exceeds the preset number, a second charging interference instruction is sent to the target new energy equipment, and the second charging interference instruction is generated according to a preset charging protection measure.

[0012] Preferably, it also includes:

[0013] Determining a target charging location, where the target charging location is a current charging location of the target new energy device;

[0014] Determining a target hazard level corresponding to the target charging location based on a first correspondence between each charging location and each hazard level;

[0015] Determining the target protective measures corresponding to the target hazard level according to the second correspondence between the hazard levels and the protective measures;

[0016] A third charging intervention instruction is sent to the target new energy equipment, where the third charging intervention instruction is generated according to the target protection measure.

[0017] Preferably, after determining that the target new energy equipment is a high-risk new energy equipment according to the preset safety evaluation model, the method further includes: sending an alarm signal through a preset alarm method.

[0018] Preferably, the security evaluation model is specifically a big data security evaluation model;

[0019] Then, the target new energy equipment is determined to be a high-risk new energy equipment according to the big data security evaluation model, specifically:

[0020] Determining the type of the target new energy equipment;

[0021] Select multiple new energy equipment sets under the type as analysis objects;

[0022] Acquire a reference charging process data of the analysis object within a preset time range and matching the analysis object, wherein the reference charging process data is data generated by the analysis object during the charging process;

[0023] Calculating secondary reference charging process data corresponding to each variable and used to characterize a variable change trend based on the primary reference charging process data;

[0024] Calculating secondary actual charging process data corresponding to each variable for characterizing a variable change trend based on the primary actual charging process data of the target new energy device; wherein the primary actual charging process data is data generated during the current charging process of the target new energy device;

[0025] Based on the correspondence between the primary reference charging process data and / or the secondary reference charging process data and time, determining a first safety threshold corresponding to the primary reference charging process data and / or a second safety threshold corresponding to the secondary reference charging process data, using the first safety threshold as a comparison object to compare with the primary actual charging process data of the target new energy device and / or using the second safety threshold as a comparison object to compare with the secondary actual charging process data of the target new energy device, so as to determine that the target new energy device is a high-risk new energy device;

[0026] According to the preset correspondence between the degree of deviation and the health status, the health status corresponding to the degree of deviation between the primary actual charging process data and the primary safety threshold and / or the health status corresponding to the degree of deviation between the secondary actual charging process data and the secondary safety threshold are determined.

[0027] Preferably, it also includes:

[0028] When the maintenance of the target new energy equipment is completed, the first charging interference instruction or the second charging interference instruction is released.

[0029] Preferably, the sending of the alarm signal by a preset alarm method is specifically:

[0030] Send identification reports via any combination of email, SMS, and application software;

[0031] The identification report includes basic information of the target new energy equipment, the total number of charging orders, the number of abnormal charging orders, identification data in the form of charts, and identification results of the target new energy equipment.

[0032] Preferably, the first corresponding relationship and the second corresponding relationship are specifically:

[0033] The first corresponding relationship and the second corresponding relationship are set according to a region.

[0034] To solve the above technical problems, the present application also provides a charging safety protection method based on a user terminal, comprising:

[0035] Receiving a protection signal containing high-risk data sent by the charging cloud platform after the charging cloud platform determines that the target new energy device is a high-risk new energy device according to a preset safety evaluation model, wherein the high-risk data represents the identity data of the target new energy device and corresponding abnormal data;

[0036] obtaining an interference charging event indication according to the protection signal;

[0037] The interference charging event indication is sent to the charging cloud platform so that the charging cloud platform can obtain the high-risk number of the target new energy device. When it is judged that the high-risk number does not exceed the preset number, a first charging interference instruction is sent to the target new energy device. The first charging interference instruction is generated according to the interference charging event indication. When it is judged that the high-risk number exceeds the preset number, a second charging interference instruction is sent to the target new energy device. The second charging interference instruction is generated according to the preset charging protection measures.

[0038] To solve the above technical problems, the present application also provides a charging safety protection device based on a charging cloud platform, comprising:

[0039] A first determination module is configured to determine, based on a preset safety evaluation model, that the target new energy equipment is a high-risk new energy equipment;

[0040] a first sending module, configured to send a protection signal including high-risk data to a user terminal, wherein the high-risk data represents identity data of the target new energy device and corresponding abnormal data, so that the user terminal obtains an interference charging event indication according to the protection signal;

[0041] A first acquisition module is used to obtain the high-risk times of the target new energy equipment;

[0042] a second sending module, configured to send a first charging interference instruction to the target new energy equipment when it is determined that the high-risk number does not exceed a preset number, wherein the first charging interference instruction is generated according to the interference charging event indication;

[0043] The third sending module is used to send a second charging interference instruction to the target new energy equipment when it is determined that the high-risk number exceeds the preset number, and the second charging interference instruction is generated according to the preset charging protection measure.

[0044] To solve the above technical problems, the present application also provides a charging safety protection device based on a user terminal, comprising:

[0045] a receiving module, configured to receive a protection signal containing high-risk data sent by the charging cloud platform after the charging cloud platform determines that the target new energy device is a high-risk new energy device according to a preset safety evaluation model, wherein the high-risk data represents the identity data of the target new energy device and corresponding abnormal data;

[0046] a second acquisition module, configured to acquire an interference charging event indication according to the protection signal;

[0047] The fourth sending module is used to send the interference charging event indication to the charging cloud platform so that the charging cloud platform can obtain the high-risk number of the target new energy device. When it is judged that the high-risk number does not exceed the preset number, the first charging interference instruction is sent to the target new energy device. The first charging interference instruction is generated according to the interference charging event indication. When it is judged that the high-risk number exceeds the preset number, the second charging interference instruction is sent to the target new energy device. The second charging interference instruction is generated according to the preset charging protection measures.

[0048] To solve the above technical problems, the present application also provides a charging safety protection device, comprising:

[0049] memory for storing computer programs;

[0050] A processor is used to implement the steps of the charging safety protection method described above when executing the computer program.

[0051] In order to solve the above technical problems, the present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the charging safety protection method described above are implemented.

[0052] The charging safety protection method provided by the present application is based on a charging cloud platform, determines that the target new energy device is a high-risk new energy device according to a preset safety evaluation model, and sends a protection signal containing high-risk data to the user terminal, so that the user terminal can obtain an interference charging event indication according to the protection signal, obtain the high-risk number of the target new energy device, and when the high-risk number does not exceed the preset number, send a first charging interference instruction containing an interference charging event indication to the target new energy device, and when the high-risk number exceeds the preset number, send a second charging interference instruction containing a preset charging protection measure to the target new energy device. Applying this technical solution, when the high-risk number does not exceed the preset number, it is possible to perform charging interference on high-risk new energy devices according to the interference charging event indication input by the user, thereby ensuring the charging safety of high-risk new energy devices while improving practicality and user experience.

[0053] In addition, the charging safety protection device and medium provided in this application correspond to the above-mentioned charging safety protection method and have the same effect as above. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0055] Figure 1 A structural diagram of a charging management system for an electric vehicle provided in an embodiment of the present application;

[0056] Figure 2 A flowchart of the first charging safety protection method provided in an embodiment of the present application;

[0057] Figure 3 A flowchart of the second charging safety protection method provided in an embodiment of the present application;

[0058] Figure 4 A flowchart of a method for determining that a target new energy device is a high-risk new energy device based on a big data security evaluation model provided in an embodiment of the present application;

[0059] Figure 5 A flowchart of the third charging safety protection method provided in an embodiment of the present application;

[0060] Figure 6 A schematic structural diagram of the first charging safety protection device provided in an embodiment of the present application;

[0061] Figure 7 A schematic structural diagram of a second charging safety protection device provided in an embodiment of the present application;

[0062] Figure 8 This is a schematic structural diagram of the third charging safety protection device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0063] The following will be combined with the accompanying drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0064] The core of this application is to provide a charging safety protection method, device, and medium for protecting the charging of high-risk new energy devices, thereby improving practicality and user experience. The new energy devices proposed in this application can be electric vehicles or other electric devices. An electric vehicle will be used as an example in the following description. The charging safety protection method described in the embodiments of this application can be applied to a charging cloud platform or charging device, or even an unmanned vehicle management platform (applicable to unmanned vehicles). The following description will focus on the charging safety protection method as applied to a charging cloud platform. The charging cloud platform communicates with the charging devices to centrally manage multiple charging devices. Typically, a charging cloud platform consists of multiple computers working together to implement corresponding functions. Charging devices typically have two hardware configurations: one in which the charger and charging terminal are integrated, resulting in a larger size and commonly used in fast-charging scenarios such as highway service areas. The other in which the charger and charging terminal are separate components allows a single charger to communicate with multiple charging terminals for unified management. Since the charger and charging terminal are set separately, the charging terminal is small in size and directly interacts with the electric vehicle for data. Its functions are relatively simple. Usually, the acquired vehicle data is sent to the corresponding charger, which completes the more complex data calculations and then returns the calculation results to the charging terminal. Figure 1 This is a structural diagram of a charging management system for an electric vehicle provided in an embodiment of the present application. Figure 1 As shown, the charging management system includes a charging cloud platform and multiple charging devices that are connected to the charging cloud platform. The charging devices obtain relevant data of the electric vehicle, such as charging start information, and send the charging start information to the charging cloud platform. The charging cloud platform identifies the device model based on the charging start information, and then performs relevant calculations on the charging process data that matches the device signal to obtain the safety threshold. It should be noted that Figure 1 It is just a specific application scenario and does not mean that the charging cloud platform must be able to detect abnormal charging of new energy equipment.

[0065] The above describes the hardware usage scenarios corresponding to the charging safety protection method provided by this application. The following describes an embodiment of the charging safety protection method. In order to enable those skilled in the art to better understand the present application scheme, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0066] Figure 2 This is a flow chart of the first charging safety protection method provided in the embodiment of the present application. Figure 2 As shown, based on the charging cloud platform, the method includes:

[0067] S10: Determine the target new energy equipment as high-risk new energy equipment based on a preset safety evaluation model.

[0068] In an embodiment of the present application, the preset safety evaluation model can be a safety evaluation model that determines whether there is any abnormality in battery charging by comparing the current battery parameters with the safety threshold value set by the manufacturer during the charging process, or it can be a safety evaluation model constructed through historical big data to determine whether there is any abnormality in battery charging.

[0069] S11: Sending a protection signal containing high-risk data to the user terminal, so that the user terminal can obtain an interference charging event indication according to the protection signal.

[0070] Among them, high-risk data refers to the identity data of the target new energy equipment and the corresponding abnormal data.

[0071] It is understandable that the identity data of the target new energy equipment contained in the high-risk data can be obtained from the vehicle through the charging equipment during the charging process (handshake stage, parameter configuration stage, charging stage, and any stage after the end of charging). It can also be obtained by deploying a camera on the charging equipment to take pictures of the vehicle during the charging process, thereby obtaining the vehicle's macro identity data such as vehicle brand, type and license plate number, and determining the user information corresponding to the vehicle (for example: owner's name, phone number, address, etc.) based on the user data stored in the cloud platform system supporting the charging business. Abnormal data of target new energy devices included in high-risk data can be obtained from abnormal data generated by the new energy devices during the charging process. This abnormal data can be obtained by: directly obtaining primary data during the charging process (for example, the maximum temperature of the power battery, the minimum temperature of the power battery, the state of charge of the power battery, the maximum voltage of the single cell, the minimum voltage of the single cell, etc.), and determining the primary abnormal data based on corresponding safety thresholds; and / or obtaining secondary data from the primary data during the charging process to characterize variable change trends (for example, the maximum temperature difference of the power battery, the maximum pressure difference of the power battery, the maximum rate of temperature rise of the power battery, the maximum rate of change of the state of charge of the power battery, the maximum rate of change of the voltage of the single cell, etc.), and determining the secondary abnormal data based on corresponding safety thresholds. It will be understood that the more variables in the primary data, the more variables in the secondary data, the more comprehensive the tracking data that can be obtained, and the more accurate the detection results of the optimized safety assessment model.

[0072] It should be noted that the interference charging event indication is specifically a charging protection measure for the target new energy equipment input by the user through the user terminal based on the user's own situation. In a specific implementation, a variety of charging protection measures can be set in the user terminal, so that the user can select a suitable charging protection measure from a variety of available charging protection measures, and the selected charging protection measure is used as an interference charging event indication. For ease of understanding, the following example is used to illustrate that the user terminal is provided with a reduction in charging current to 80%, 50% and 30% of the original, a limit on the SOC value to 80%, 50% and 30% of the original, and a stop of charging. After the user terminal receives the protection signal, the user chooses to reduce the charging current to 80% of the original from the above-mentioned charging protection measures, then reducing the charging current to 80% of the original is used as the interference charging event indication obtained by the user terminal, and entering the subsequent charging safety protection process.

[0073] S12: Obtain the high-risk times of the target new energy equipment.

[0074] High-risk charges specifically refer to the number of high-risk charging events during the high-risk charging process after the target new energy device is identified as such. In practice, the high-risk charge count can be expressed as the number of high-risk charging orders, but this is not the only way to obtain the high-risk charge count.

[0075] S13: Determine whether the number of high-risk times exceeds a preset number. If yes, proceed to S15; if not, proceed to S14.

[0076] S14: Sending a first charging interference instruction generated according to the interference charging event indication to the target new energy equipment.

[0077] S15: Sending a second charging interference instruction generated according to the preset charging protection measure to the target new energy equipment.

[0078] In specific implementations, the preset charging protection measures may include prohibiting charging of a target new energy device if it is determined to be high-risk based on the safety assessment model. It should be noted that high-risk protection measures are set according to the security protection requirements of the charging cloud platform. These protection measures may be applied to all high-risk devices, or different levels of protection may be applied based on the hazard level of the high-risk device.

[0079] In order to improve the practicality of the charging cloud platform, as a preferred embodiment, an alarm signal is sent when the target new energy device is determined to be a high-risk new energy device. It is understandable that the alarm signal can be sent by the charging cloud platform to the target new energy device, or it can be sent to the target user in the form of text messages, emails, phone calls, etc. based on the identity data of the target user after the target user corresponding to the target new energy device is determined through user data stored in the cloud platform system. It should be noted that the alarm signal can also include primary abnormality data and / or secondary abnormality data, so that the user can fully understand the abnormal cause of the target new energy device and then carry out targeted maintenance on the target new energy device.

[0080] The charging safety protection method provided in the embodiment of the present application is based on a charging cloud platform, determines that the target new energy device is a high-risk new energy device according to a preset safety evaluation model, and sends a protection signal containing high-risk data to the user terminal, so that the user terminal can obtain an interference charging event indication according to the protection signal, obtain the high-risk number of the target new energy device, and when the high-risk number does not exceed the preset number, send a first charging interference instruction containing an interference charging event indication to the target new energy device, and when the high-risk number exceeds the preset number, send a second charging interference instruction containing a preset charging protection measure to the target new energy device. Applying this technical solution, when the high-risk number does not exceed the preset number, it is possible to perform charging interference on high-risk new energy devices according to the interference charging event indication input by the user, thereby ensuring the charging safety of high-risk new energy devices while improving practicality and user experience.

[0081] Figure 3 This is a flow chart of the second charging safety protection method provided in the embodiment of the present application. Figure 3 As shown, based on the above embodiment, the charging safety protection method further includes:

[0082] S20: Determine a target charging location.

[0083] The target charging location is the current charging position of the target new energy equipment.

[0084] In the present application, the target charging location can be determined by the target new energy device being charged, or the charging location where the current target new energy device is located can be determined based on positioning.

[0085] S21: Determine a target hazard level corresponding to a target charging location based on a first correspondence between each charging location and each hazard level.

[0086] S22: Determine the target protective measures corresponding to the target hazard level according to the second correspondence between each hazard level and each protective measure.

[0087] S23: Sending a third charging intervention instruction generated according to the target protection measure to the target new energy equipment.

[0088] For example, if the danger level is divided into high-risk key level, key level and general level, the charging equipment near gas stations, gas stations and crowded places (such as national AAAA-level tourist attractions and residential areas) can be set to high-risk key level, the charging equipment near places with relatively dense crowds (such as national AAA-level and below tourist attractions, parks near residential areas) can be set to key level, and the charging equipment near places with sparse crowds can be set to general level.

[0089] Different danger levels correspond to different protective measures. For example, the protective measures corresponding to the high-risk key level are prohibiting charging of high-risk new energy equipment, the protective measures corresponding to the key level are reducing the charging current to 50% of the original and / or limiting the SOC value to 50% of the original, and the protective measures corresponding to the general level are reducing the charging current to 80% of the original and / or limiting the SOC value to 80% of the original.

[0090] As a preferred embodiment, the first and second correspondences are specifically configured based on region. It is understood that, since charging locations vary across regions, configuring the first and second correspondences based on region can better ensure that the charging safety protection method is compatible with different regions, thereby improving the practicality of the charging safety protection method.

[0091] The charging safety protection method provided in the embodiment of the present application sets corresponding protection requirements in advance according to the danger level of the charging site. Therefore, when the target new energy equipment is determined to be high-risk new energy equipment, the corresponding protection requirements can be adopted according to the danger level of the charging site, which not only ensures the safety of charging sites with different danger levels, but also ensures the electricity needs of users.

[0092] Based on the above embodiment, the method further includes: when the target new energy equipment is determined to be a high-risk new energy equipment according to a preset safety evaluation model, sending an alarm signal through a preset alarm method.

[0093] Among them, sending an alarm signal through a preset alarm method can be sending an identification report in the form of any combination of email, text message, and application software, wherein the identification report includes basic information of the target new energy equipment, the total number of charging orders, the number of abnormal charging orders, identification data in the form of charts, and identification results of the target new energy equipment.

[0094] To facilitate user review, in a specific implementation, the basic information of the target new energy device may include the device brand, device model, and the number of devices of that brand and model in the region. Furthermore, the identification report may include a chronological comparison chart of the total number of charging orders and the number of abnormal charging orders, with abnormal charging orders marked in red and normal charging orders marked in blue. The identification data in the form of a chart may specifically include: a chronological comparison chart of primary reference charging process data and primary actual charging process data, and / or a chronological comparison chart of secondary reference charging process data and secondary actual charging process data. The primary reference charging process data and the primary actual charging process data may include the maximum temperature, minimum temperature, SOC, maximum cell voltage, and minimum cell voltage of the power battery, and the secondary reference charging process data and the secondary actual charging process data may include the maximum temperature difference, maximum voltage difference, maximum temperature rise rate, maximum SOC change rate, and maximum cell voltage change rate of the power battery. The identification result of the target new energy device may be the cause of the target new energy device abnormality determined by the safety assessment model based on the comparison chart.

[0095] Based on the above embodiment, the security evaluation model is specifically a big data security evaluation model. Figure 4 This is a flow chart of a method for determining that a target new energy device is a high-risk new energy device based on a big data security evaluation model provided in an embodiment of the present application. Figure 4 As shown in the figure, the target new energy equipment is determined to be high-risk new energy equipment according to the big data security evaluation model, specifically:

[0096] S30: Determine the type of target new energy equipment.

[0097] The target new energy device mentioned in this embodiment is one type of new energy device. The purpose of determining the type of the target new energy device is to select multiple new energy devices of this type as analysis objects.

[0098] S31: Select multiple new energy equipment sets under the type as analysis objects.

[0099] It should be noted that the analysis object must be at least the same type of device as the target new energy device. In this embodiment, the analysis object can be the same type as the target new energy device, or the same type and age as the target new energy device. The purpose of selecting multiple new energy devices of the same type as the analysis object is to ensure that the reference charging process data obtained can accurately reflect the charging status of the target new energy device, thereby making the detection results more accurate. As a preferred embodiment, multiple new energy devices of the same type, in the same region, and / or of the same age are selected as the analysis objects.

[0100] S32: Acquire a reference charging process data of the analysis object within a preset time range and matching the analysis object.

[0101] The charging process data mentioned in this application is the data generated by any new energy device during the charging process. The charging process data comes from the charging cloud platform and charging equipment, including charging system data and charging data. The charging system data is mainly the charging pile / charging terminal data, user data, and vehicle data stored in the cloud platform system that supports the charging business. The charging data is obtained from the vehicle by the charging equipment during the charging process. The one-time reference charging process data is the data generated by the analysis object during the charging process. The one-time reference charging process data and the one-time actual charging process data mentioned below are both one type of charging process data, that is, the data generated by the new energy device during the charging process. However, in order to distinguish them, the data generated by the target new energy device in the current charging process is called the one-time actual charging process data, and the charging process data of the new energy device (analysis object) of the same model as the target new energy device is called the one-time reference charging process data, which is used as reference data.

[0102] Correspondingly, a single reference charging process data set can include charging process data for a new energy device of the same type as the target new energy device, or for a new energy device of the same type and age. Taking electric vehicles as an example, reference charging process data can include charging data for the following new energy devices: same model + past time period / current time; same model + same region (such as the same city) + past time period / current time; or same model + same age + past time period / current time. For example, if the target new energy device is a Tesla Model 3, selecting multiple new energy devices under that type as analysis targets could include: Retrieve Tesla Model 3s in Chengdu, with a vehicle age of three years, from January 1 to January 31, 2021, as analysis targets.

[0103] As a preferred embodiment, a reference charging process data includes the maximum temperature of the power battery, the minimum temperature of the power battery, the SOC of the power battery, the maximum voltage of the single cell, the minimum voltage of the single cell, the number of the single cell maximum voltage, the maximum temperature monitoring point number and the minimum temperature monitoring point number. It should be noted that the SOC of the power battery mentioned in this embodiment includes the SOC during normal charging and the SOC when the imbalance abnormality is terminated. The SOC when the imbalance abnormality is terminated belongs to the charging process data, but it is just that after the charging abnormality occurs, the SOC at the end of charging is analyzed in reverse. The SOC when the imbalance abnormality is terminated is the battery SOC when the power battery is abnormally terminated due to imbalance. The abnormal termination reasons that are more closely related to imbalance are that the single cell voltage of the new energy equipment reaches the target value and the power battery reaches the target SOC. In a specific embodiment, the more variables in the single reference charging process data, the more accurate the charging abnormality detection result. On this basis, the secondary reference charging process data includes the maximum temperature difference of the power battery, the maximum pressure difference of the power battery, the maximum temperature rise rate of the power battery, the maximum SOC change rate of the power battery, the maximum change rate of the single cell voltage, the Shannon entropy value of the highest temperature monitoring point number, the Shannon entropy value of the lowest temperature monitoring point number, and the Shannon entropy value of the single cell with the highest voltage.

[0104] The maximum temperature difference refers to the difference between the maximum and minimum battery temperatures at the same moment in the charging process, derived from the maximum and minimum temperatures of the power battery. The maximum temperature difference refers to the maximum temperature difference during a single charge. The maximum voltage difference refers to the difference between the maximum and minimum voltages of a single cell at the end of a single charge. The maximum temperature rise rate refers to the change in the maximum battery temperature at a specific frequency (milliseconds, seconds, minutes) during the charging process. The maximum temperature rise rate refers to the maximum temperature rise rate during a single charge. The maximum SOC change rate refers to the rate of change of the SOC transmitted by the BMS at a specific frequency (milliseconds, seconds, minutes) during a single charge. The maximum SOC change rate refers to the maximum SOC change rate during a single charge. The single cell voltage change rate refers to the change in the maximum single cell voltage transmitted by the BMS at a specific frequency (milliseconds, seconds, minutes) during the charging process. The maximum single cell voltage change rate refers to the maximum single cell voltage change rate during a single charge. The Shannon entropy value for the highest temperature monitoring point number is calculated based on the highest temperature monitoring point number obtained at a specific frequency (milliseconds, seconds, minutes) during a single charge, combined with the Shannon entropy algorithm. The Shannon entropy value for the lowest temperature monitoring point number is calculated based on the lowest temperature monitoring point number obtained at a specific frequency (milliseconds, seconds, minutes) during a single charge, combined with the Shannon entropy algorithm. The Shannon entropy value for the highest voltage cell number is calculated based on the highest voltage cell number obtained at a specific frequency (milliseconds, seconds, minutes) during a single charge, combined with the Shannon entropy algorithm.

[0105] It can be understood that the Shannon entropy value can show the degree of dispersion of the highest temperature monitoring point number and the highest voltage number of the single cell during the charging process. The lower the degree of dispersion, the greater the possibility of charging abnormality.

[0106] In addition, the single-time reference charging process data obtained in this step can be obtained online after the charging start information of the target new energy source is obtained, or it can be pre-stored in a local database and directly retrieved from the local database after the charging start information of the target new energy source is obtained. It is understood that if the single-time reference charging process data is obtained online after the charging start information of the target new energy source is obtained, the single-time reference charging process data can be historical data or real-time data. If the single-time reference charging process data is directly retrieved from the local database after the charging start information of the target new energy source is obtained, the single-time reference charging process data is historical data.

[0107] S33: Calculating secondary reference charging process data corresponding to each variable and used to characterize the variable change trend based on the primary reference charging process data.

[0108] The secondary reference charging process data is derived from the primary reference charging process data and is used to characterize variable variation trends, such as variable degradation and gradient changes. It is understood that the number of variables included in the primary reference charging process data and the secondary reference charging process data may be the same or different, but the variable types must be different.

[0109] S34: Calculating secondary actual charging process data corresponding to each variable and used to characterize a variable change trend based on the primary actual charging process data of the target new energy device.

[0110] The primary actual charging process data is the data generated during the current charging process of the target new energy device. The secondary actual charging process data is obtained based on the primary actual charging process data and is used to characterize the trend of variable changes, such as variable variation, gradient change, degree of discreteness, etc. It should be noted that the method of obtaining the secondary reference charging process data from the primary reference charging process data is the same as the method of obtaining the secondary actual charging process data from the primary actual charging process data. It is understandable that the number of variables contained in the primary reference charging process data and the number of variables contained in the secondary reference charging process data can be the same or different, but the variable types must be different.

[0111] S35: Determine a first safety threshold corresponding to the primary reference charging process data and / or a second safety threshold corresponding to the secondary reference charging process data based on a correspondence between the primary reference charging process data and / or the secondary reference charging process data and time.

[0112] In this step, the first safety threshold and the second safety threshold are used as comparison objects to be compared with the primary actual charging process data and the secondary actual charging process data of the target new energy device, respectively, to determine whether the target new energy device is charging abnormally. It should be noted that the calculation method of the primary safety threshold and the secondary safety threshold is not limited in this embodiment, and can be determined using statistical analysis methods or cluster analysis methods. The primary safety threshold and the secondary safety threshold in this step and the existing fixed thresholds obtained through experiments are all used to measure whether the charging is abnormal, except that the primary safety threshold and the secondary safety threshold in this step are obtained through real data of the same type of new energy device as the target new energy device during the charging process, so they can truly reflect the charging status of the same type of device.

[0113] The charging process of a target new energy device is divided into four stages: handshake phase, parameter configuration phase, charging phase, and charging completion phase. The actual charging process data can be data from one or all of these four stages. Since the primary and secondary safety thresholds are determined based on the charging process data of new energy devices of the same type as the target new energy device, they can serve as detection criteria for abnormalities in the target new energy device. As long as at least one of the primary or secondary actual charging process data exceeds the corresponding safety threshold, the target new energy device is determined to be charging abnormally.

[0114] In addition, in this step, the first safety threshold and / or the second safety threshold can be determined by a statistical analysis method or a cluster analysis method. As a preferred embodiment, the statistical analysis method includes a normal distribution statistical method, and the cluster analysis method includes a Gaussian mixture clustering method.

[0115] S36: Determine the health status corresponding to the degree of deviation between the primary actual charging process data and the primary safety threshold and / or the health status corresponding to the degree of deviation between the secondary actual charging process data and the secondary safety threshold based on the preset correspondence between the deviation degree and the health status.

[0116] It should be noted that steps S35 and S36 are independent of each other. Even if the target new energy device does not experience charging anomalies, its health status can still be assessed. In this embodiment, the actual health level of the target new energy device is determined by the deviation between the primary actual charging process data and the primary safety threshold, as well as the deviation between the secondary actual charging process data and the secondary safety threshold, allowing users to promptly understand the health status of the device.

[0117] In addition, S36 may include: obtaining multiple historical charging orders within a predetermined time period for the target new energy device, obtaining a historical charging process data from each historical charging order, and calculating the average value corresponding to each variable in the historical charging process data as a primary actual average value, calculating a primary reference average value corresponding to each variable in the reference charging process data within a predetermined time period, determining a primary variable deviation between the primary actual average value corresponding to the same variable and a primary safety threshold, determining a primary actual health level corresponding to the primary variable deviation based on a predetermined correspondence between the variable deviation and the health level, and / or calculating secondary historical charging process data corresponding to each variable for characterizing a variable change trend based on the primary historical charging process data, calculating the average value corresponding to each variable in the secondary historical charging process data as a secondary actual average value, calculating a secondary reference average value corresponding to each variable in the secondary reference charging process data within a predetermined time period, determining a secondary variable deviation between the secondary actual average value corresponding to the same variable and a secondary safety threshold, determining a secondary actual health level corresponding to the secondary variable deviation based on a predetermined correspondence between the variable deviation and the health level, and determining the health status of the target new energy device based on the primary actual health level and / or the secondary actual health level.

[0118] S36 may also include: determining the primary actual score data of each variable in the primary actual charging process data based on a primary scoring model corresponding to each variable set in advance, determining the primary actual health level corresponding to the primary actual score data based on a predetermined correspondence between the score data and the health level, and / or determining the secondary actual score data of each variable in the secondary actual charging process data based on a secondary scoring model corresponding to each variable set in advance, and determining the secondary actual health level corresponding to the secondary actual score data based on a predetermined correspondence between the score data and the health level.

[0119] Among them, the primary scoring model can be divided into multiple intervals based on the mean and variance corresponding to each variable in the primary reference charging process data, and the corresponding relationship between the degree of deviation and the score data can be established based on the degree of deviation between the actual value of each variable and the critical value of the corresponding interval; the secondary scoring model can be divided into multiple intervals based on the mean and variance corresponding to each variable in the secondary reference charging process data, and the corresponding relationship between the degree of deviation and the score data can be established based on the degree of deviation between the actual value of each variable and the critical value of the corresponding interval. For example, the variable is the maximum temperature, which is divided into three levels, namely good, medium and poor, and the intervals include: 、 、 ,set up If it is 60 points, If the score is 100 (good), then 60 points < <100 points (medium), <60 points (poor). It should be noted that the score divisions corresponding to good, fair, and poor need to be set according to specific needs and variable types.

[0120] The charging safety protection method provided in the embodiment of the present application can promptly provide the user with a prompt of the health status of the current device, thereby improving the user experience and avoiding the serious consequences caused by charging when the health status is poor. In addition, the primary safety threshold and the secondary safety threshold are obtained through a reference charging process data, and the primary reference charging process data is real data. Therefore, compared with the fixed threshold in the prior art, the primary safety threshold and the secondary safety threshold obtained by this technical solution can improve the accuracy of charging anomaly detection. Finally, the secondary reference charging process data can reflect the dynamic development of variables, so the obtained secondary safety threshold can quantify the dynamic development of variables and can identify charging anomalies in a timely manner.

[0121] Based on the above embodiment, the method further includes: when the maintenance of the target new energy equipment is completed, releasing the first charging interference instruction or the second charging interference instruction.

[0122] It is understandable that after the maintenance is completed, the corresponding high-risk protection measures are lifted, and the target new energy equipment can continue to be charged according to normal charging data after the maintenance returns to normal state, ensuring that users can use the target new energy equipment after maintenance normally, thereby improving the user experience.

[0123] The above embodiments are described with reference to the charging cloud platform side, and the embodiments of the present application below are described with reference to the user terminal side. Since the charging cloud platform and the user terminal are interactive, the method embodiments of the user terminal side can be found above.

[0124] Figure 5 This is a flow chart of the third charging safety protection method provided in the embodiment of this application. Figure 5 As shown, based on the user terminal, the method includes:

[0125] S40: receiving a protection signal containing high-risk data sent by the charging cloud platform after the charging cloud platform determines that the target new energy equipment is a high-risk new energy equipment according to a preset safety evaluation model.

[0126] Among them, high-risk data refers to the identity data of the target new energy equipment and the corresponding abnormal data.

[0127] S41: Obtaining an interference charging event indication according to the protection signal.

[0128] S42: Send an interference charging event indication to the charging cloud platform so that the charging cloud platform can obtain the high-risk number of the target new energy equipment. When it is judged that the high-risk number does not exceed the preset number, a first charging interference instruction generated according to the interference charging event indication is sent to the target new energy equipment. When it is judged that the high-risk number exceeds the preset number, a second charging interference instruction generated according to the preset charging protection measures is sent to the target new energy equipment.

[0129] The charging safety protection method provided in the embodiment of the present application is based on a user platform, receives a protection signal containing high-risk data sent by the charging cloud platform after the target new energy device is determined to be a high-risk new energy device according to a preset safety evaluation model, obtains an interference charging event indication according to the protection signal, and sends the interference charging event indication to the charging cloud platform so that the charging cloud platform can obtain the high-risk number of the target new energy device. When it is judged that the high-risk number does not exceed the preset number, a first charging interference instruction generated according to the interference charging event indication is sent to the target new energy device. When it is judged that the high-risk number exceeds the preset number, a second charging interference instruction generated according to the preset charging protection measure is sent to the target new energy device. By applying this technical solution, when the high-risk number does not exceed the preset number, charging interference can be performed on high-risk new energy devices according to the interference charging event indication input by the user. While ensuring the charging safety of high-risk new energy devices, it improves practicality and user experience.

[0130] In the above embodiments, the charging safety protection method is described in detail. This application also provides corresponding embodiments of the charging safety protection device. It should be noted that this application describes the embodiments of the device part from two perspectives: one is based on the functional module perspective, and the other is based on the hardware perspective.

[0131] Figure 6 This is a schematic diagram of the structure of the first charging safety protection device provided in the embodiment of the present application. Figure 6 As shown, based on the functional modules on the charging cloud platform side, the device includes:

[0132] The first determination module 10 is configured to determine, based on a preset safety evaluation model, whether the target new energy equipment is a high-risk new energy equipment.

[0133] The first sending module 11 is used to send a protection signal containing high-risk data to the user terminal so that the user terminal can obtain an interference charging event indication according to the protection signal. The high-risk data represents the identity data of the target new energy device and the corresponding abnormal data.

[0134] The first acquisition module 12 is configured to acquire the number of high-risk times of the target new energy equipment.

[0135] The second sending module 13 is configured to send a first charging interference instruction to the target new energy equipment when it is determined that the high-risk number does not exceed a preset number, wherein the first charging interference instruction is generated according to an interference charging event indication.

[0136] The third sending module 14 is configured to send a second charging interference instruction to the target new energy equipment when it is determined that the number of high-risk times exceeds a preset number. The second charging interference instruction is generated according to a preset charging protection measure.

[0137] Since the embodiments of the apparatus part correspond to the embodiments of the method part, please refer to the description of the embodiments of the method part for the embodiments of the apparatus part, and they will not be repeated here.

[0138] As a preferred embodiment, it also includes:

[0139] The second determining module is used to determine a target charging location, where the target charging location is a current charging position of the target new energy device.

[0140] The third determining module is configured to determine a target danger level corresponding to a target charging location according to a first correspondence between each charging location and each danger level.

[0141] The fourth determining module is configured to determine a target protective measure corresponding to a target hazard level according to a second correspondence between each hazard level and each protective measure.

[0142] The fifth sending module is used to send a third charging interference instruction to the target new energy equipment, where the third charging interference instruction is generated according to the target protection measure.

[0143] Also includes:

[0144] The sixth sending module is used to send an alarm signal through a preset alarm method.

[0145] The first determining module 10 specifically includes:

[0146] The fifth determining module is used to determine the type of the target new energy equipment.

[0147] The selection module is used to select multiple new energy equipment sets under a type as analysis objects.

[0148] The third acquisition module is used to obtain a reference charging process data of the analysis object that matches the analysis object within a preset time range, where the reference charging process data is data generated by the analysis object during the charging process.

[0149] The first calculation module is used to calculate the secondary reference charging process data corresponding to each variable and used to characterize the variable change trend based on the primary reference charging process data.

[0150] The second calculation module is used to calculate the secondary actual charging process data corresponding to each variable for characterizing the variable change trend based on the primary actual charging process data of the target new energy device; wherein the primary actual charging process data is the data generated during the current charging process of the target new energy device.

[0151] The sixth determination module is used to determine the first safety threshold corresponding to the primary reference charging process data and / or the second safety threshold corresponding to the secondary reference charging process data based on the correspondence between the primary reference charging process data and / or the secondary reference charging process data and time. The first safety threshold is used as a comparison object for comparison with the primary actual charging process data of the target new energy device and / or the second safety threshold is used as a comparison object for comparison with the secondary actual charging process data of the target new energy device to determine that the target new energy device is a high-risk new energy device.

[0152] The seventh determination module is used to determine the health status corresponding to the degree of deviation between the primary actual charging process data and the primary safety threshold and / or the health status corresponding to the degree of deviation between the secondary actual charging process data and the secondary safety threshold based on the corresponding relationship between the preset deviation degree and the health status.

[0153] Also includes:

[0154] The release module is used to release the first charging interference instruction or the second charging interference instruction when the maintenance of the target new energy equipment is completed.

[0155] The charging safety protection device provided in the embodiment of the present application is based on a charging cloud platform, determines that the target new energy device is a high-risk new energy device according to a preset safety evaluation model, and sends a protection signal containing high-risk data to the user terminal, so that the user terminal can obtain an interference charging event indication according to the protection signal, obtain the high-risk number of the target new energy device, and when the high-risk number does not exceed the preset number, send a first charging interference instruction containing an interference charging event indication to the target new energy device, and when the high-risk number exceeds the preset number, send a second charging interference instruction containing a preset charging protection measure to the target new energy device. Applying this technical solution, when the high-risk number does not exceed the preset number, it can interfere with the charging of high-risk new energy devices according to the interference charging event indication input by the user, thereby ensuring the charging safety of high-risk new energy devices while improving practicality and user experience.

[0156] Figure 7 This is a schematic diagram of the structure of the second charging safety protection device provided in the embodiment of the present application. Figure 7 As shown, based on the perspective of the functional modules on the user terminal side, the device includes:

[0157] The receiving module 20 is used to receive a protection signal containing high-risk data sent by the charging cloud platform after the charging cloud platform determines that the target new energy equipment is a high-risk new energy equipment according to a preset safety evaluation model. The high-risk data represents the identity data of the target new energy equipment and the corresponding abnormal data.

[0158] The second acquisition module 21 is configured to acquire an interference charging event indication according to the protection signal.

[0159] The fourth sending module 22 is used to send an interference charging event indication to the charging cloud platform so that the charging cloud platform can obtain the high-risk number of the target new energy equipment. When it is judged that the high-risk number does not exceed the preset number, the first charging interference instruction is sent to the target new energy equipment. The first charging interference instruction is generated according to the interference charging event indication. When it is judged that the high-risk number exceeds the preset number, the second charging interference instruction is sent to the target new energy equipment. The second charging interference instruction is generated according to the preset charging protection measures.

[0160] Since the embodiments of the apparatus part correspond to the embodiments of the method part, please refer to the description of the embodiments of the method part for the embodiments of the apparatus part, and they will not be repeated here.

[0161] The charging safety protection device provided in the embodiment of the present application is based on a user platform, receives a protection signal containing high-risk data sent by the charging cloud platform after the target new energy device is determined to be a high-risk new energy device according to a preset safety evaluation model, obtains an interference charging event indication according to the protection signal, and sends the interference charging event indication to the charging cloud platform so that the charging cloud platform can obtain the high-risk number of the target new energy device. When it is judged that the high-risk number does not exceed the preset number, a first charging interference instruction generated according to the interference charging event indication is sent to the target new energy device. When it is judged that the high-risk number exceeds the preset number, a second charging interference instruction generated according to the preset charging protection measure is sent to the target new energy device. By applying this technical solution, when the high-risk number does not exceed the preset number, charging interference can be performed on high-risk new energy devices according to the interference charging event indication input by the user. While ensuring the charging safety of high-risk new energy devices, it improves practicality and user experience.

[0162] Figure 8 This is a schematic diagram of the structure of the third charging safety protection device provided in the embodiment of this application. Figure 8 As shown, based on the hardware structure, the device includes:

[0163] Memory 30, for storing computer programs;

[0164] The processor 31 is configured to implement the steps of the charging safety protection method in the above embodiment when executing a computer program.

[0165] The user terminal provided in this embodiment may include but is not limited to a smart phone, a tablet computer, a laptop computer, or a desktop computer.

[0166] The processor 31 may include one or more processing cores, such as a quad-core processor or an octa-core processor. The processor 31 may be implemented using at least one of the following hardware forms: a digital signal processing (DSP), a field-programmable gate array (FPGA), or a programmable logic array (PLA). The processor 31 may also include a main processor and a coprocessor. The main processor is used to process data in the awake state, also known as a central processing unit (CPU); the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, the processor 31 may be integrated with a graphics processing unit (GPU), which is responsible for rendering and drawing content required to be displayed on the display screen. In some embodiments, the processor 31 may also include an artificial intelligence (AI) processor, which is used to handle computational operations related to machine learning.

[0167] The memory 30 may include one or more computer-readable storage media, which may be non-transitory. The memory 30 may also include high-speed random access memory, and non-volatile memory, such as one or more disk storage devices, flash memory storage devices. In this embodiment, the memory 30 is at least used to store the following computer program 301, wherein, after the computer program 301 is loaded and executed by the processor 31, it can implement the relevant steps of the charging safety protection method disclosed in any of the aforementioned embodiments. In addition, the resources stored in the memory 30 may also include an operating system 302 and data 303, etc., and the storage method may be temporary storage or permanent storage. Among them, the operating system 302 may include Windows, Unix, Linux, etc. The data 303 may include but is not limited to data involved in the charging safety protection method, etc.

[0168] In some embodiments, the charging safety protection device may further include a display screen 32 , an input / output interface 33 , a communication interface 34 , a power supply 35 , and a communication bus 36 .

[0169] Those skilled in the art will understand that Figure 8 The structure shown in does not constitute a limitation on the charging safety protection device and may include more or fewer components than shown in the figure.

[0170] The charging safety protection device provided in the embodiment of the present application includes a memory and a processor. When the processor executes the program stored in the memory, it can implement the following method: based on the charging cloud platform, the target new energy device is determined to be a high-risk new energy device according to a preset safety evaluation model, and a protection signal containing high-risk data is sent to the user terminal, so that the user terminal can obtain an interference charging event indication according to the protection signal, obtain the high-risk number of the target new energy device, and when the high-risk number does not exceed the preset number, send a first charging interference instruction containing an interference charging event indication to the target new energy device, and when the high-risk number exceeds the preset number, send a second charging interference instruction containing a preset charging protection measure to the target new energy device. By applying this technical solution, when the high-risk number does not exceed the preset number, the charging interference of the high-risk new energy device can be carried out according to the interference charging event indication input by the user, which improves the practicality and user experience while ensuring the charging safety of the high-risk new energy device.

[0171] Finally, the present application also provides an embodiment corresponding to a computer-readable storage medium. The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps described in the above method embodiment.

[0172] It is understandable that if the method in the above embodiment is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium and executes all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store program code.

[0173] The above is a detailed introduction to a charging safety protection method, device and medium provided by the present application. The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same and similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of this application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the scope of protection of the claims of this application.

[0174] It should also be noted that, in this specification, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus comprising the element.

Claims

1. A charging safety protection method, characterized in that: Based on the charging cloud platform, including: Determine the target new energy equipment as high-risk new energy equipment based on the preset safety assessment model; Sending a protection signal containing high-risk data to a user terminal, the high-risk data representing identity data of the target new energy device and corresponding abnormal data, so that the user terminal can obtain an interference charging event indication according to the protection signal; wherein multiple charging protection measures are set in the user terminal so that the user can select an appropriate charging protection measure from the multiple charging protection measures, and the selected charging protection measure is used as the interference charging event indication; Obtain the high-risk times of the target new energy equipment; When it is determined that the high-risk number does not exceed a preset number, a first charging interference instruction is sent to the target new energy equipment, where the first charging interference instruction is generated according to the interference charging event indication; When it is determined that the high-risk number exceeds the preset number, a second charging intervention instruction is sent to the target new energy equipment, where the second charging intervention instruction is generated according to a preset charging protection measure; Correspondingly, the security evaluation model is specifically a big data security evaluation model; Then, the target new energy equipment is determined to be a high-risk new energy equipment according to the big data security evaluation model, specifically: Determining the type of the target new energy equipment; Select multiple new energy equipment sets under the type as analysis objects; Acquiring a reference charging process data of the analysis object within a preset time range and matching the analysis object; Calculating secondary reference charging process data corresponding to each variable and used to characterize a variable change trend based on the primary reference charging process data; Calculating secondary actual charging process data corresponding to each variable and used to characterize the variable change trend based on the primary actual charging process data of the target new energy equipment; Based on the correspondence between the primary reference charging process data and / or the secondary reference charging process data and time, a first safety threshold corresponding to the primary reference charging process data and / or a second safety threshold corresponding to the secondary reference charging process data are determined. The first safety threshold is used as a comparison object for comparison with the primary actual charging process data of the target new energy device and / or the second safety threshold is used as a comparison object for comparison with the secondary actual charging process data of the target new energy device to determine that the target new energy device is a high-risk new energy device.

2. The charging safety protection method according to claim 1, characterized in that: Also includes: Determining a target charging location, where the target charging location is a current charging location of the target new energy device; Determining a target hazard level corresponding to the target charging location based on a first correspondence between each charging location and each hazard level; Determining the target protective measures corresponding to the target hazard level according to the second correspondence between the hazard levels and the protective measures; A third charging intervention instruction is sent to the target new energy equipment, where the third charging intervention instruction is generated according to the target protection measure.

3. The charging safety protection method according to claim 1, characterized in that: After determining that the target new energy equipment is a high-risk new energy equipment according to the preset safety evaluation model, the method further includes: sending an alarm signal through a preset alarm method.

4. The charging safety protection method according to any one of claims 1 to 3, characterized in that: The primary reference charging process data is data generated by the analysis object during the charging process; The actual charging process data is the data generated during the current charging process of the target new energy equipment; Determining that the target new energy equipment is a high-risk new energy equipment based on the big data safety evaluation model also includes: determining the health status corresponding to the degree of deviation between the primary actual charging process data and the first safety threshold and / or the health status corresponding to the degree of deviation between the secondary actual charging process data and the second safety threshold based on the correspondence between the preset deviation degree and the health status.

5. The charging safety protection method according to claim 1, characterized in that: Also includes: When the maintenance of the target new energy equipment is completed, the first charging interference instruction or the second charging interference instruction is released.

6. The charging safety protection method according to claim 3, characterized in that: The sending of the alarm signal by the preset alarm method is specifically: Send identification reports via any combination of email, SMS, and application software; The identification report includes basic information of the target new energy equipment, the total number of charging orders, the number of abnormal charging orders, identification data in the form of charts, and identification results of the target new energy equipment.

7. The charging safety protection method according to claim 2, characterized in that: The first corresponding relationship and the second corresponding relationship are specifically: The first corresponding relationship and the second corresponding relationship are set according to a region.

8. A charging safety protection method, characterized in that: Based on user terminals, including: Receiving a protection signal containing high-risk data sent by the charging cloud platform after the charging cloud platform determines that the target new energy device is a high-risk new energy device according to a preset safety evaluation model, wherein the high-risk data represents the identity data of the target new energy device and corresponding abnormal data; Obtaining an interference charging event indication according to the protection signal; wherein multiple charging protection measures are provided so that a user can select an appropriate charging protection measure from the multiple charging protection measures, and the selected charging protection measure serves as the interference charging event indication; sending the interference charging event indication to the charging cloud platform so that the charging cloud platform can obtain the high-risk number of the target new energy device; when it is determined that the high-risk number does not exceed a preset number, sending a first charging interference instruction to the target new energy device, the first charging interference instruction being generated based on the interference charging event indication; and when it is determined that the high-risk number exceeds the preset number, sending a second charging interference instruction to the target new energy device, the second charging interference instruction being generated based on a preset charging protection measure; Correspondingly, the security evaluation model is specifically a big data security evaluation model; Then, the target new energy equipment is determined to be a high-risk new energy equipment according to the big data security evaluation model, specifically: Determining the type of the target new energy equipment; Select multiple new energy equipment sets under the type as analysis objects; Acquire a reference charging process data of the analysis object within a preset time range and matching the analysis object; Calculating secondary reference charging process data corresponding to each variable and used to characterize a variable change trend based on the primary reference charging process data; Calculating secondary actual charging process data corresponding to each variable and used to characterize a variable change trend based on the primary actual charging process data of the target new energy device; Based on the correspondence between the primary reference charging process data and / or the secondary reference charging process data and time, a first safety threshold corresponding to the primary reference charging process data and / or a second safety threshold corresponding to the secondary reference charging process data are determined. The first safety threshold is used as a comparison object for comparison with the primary actual charging process data of the target new energy device and / or the second safety threshold is used as a comparison object for comparison with the secondary actual charging process data of the target new energy device to determine that the target new energy device is a high-risk new energy device.

9. A charging safety protection device, characterized in that: Based on the charging cloud platform, including: A first determination module is configured to determine, based on a preset safety evaluation model, that the target new energy equipment is a high-risk new energy equipment; a first sending module, configured to send a protection signal including high-risk data to a user terminal, the high-risk data representing identity data of the target new energy device and corresponding abnormal data, so that the user terminal can obtain an interference charging event indication based on the protection signal; wherein a plurality of charging protection measures are provided in the user terminal so that the user can select an appropriate charging protection measure from the plurality of charging protection measures, and the selected charging protection measure serves as the interference charging event indication; A first acquisition module is used to obtain the high-risk times of the target new energy equipment; a second sending module, configured to send a first charging interference instruction to the target new energy equipment when it is determined that the high-risk number does not exceed a preset number, wherein the first charging interference instruction is generated according to the interference charging event indication; a third sending module, configured to send a second charging interference instruction to the target new energy equipment when it is determined that the high-risk number exceeds the preset number, wherein the second charging interference instruction is generated according to a preset charging protection measure; Correspondingly, the security evaluation model is specifically a big data security evaluation model; Then, the target new energy equipment is determined to be a high-risk new energy equipment according to the big data security evaluation model, specifically: Determining the type of the target new energy equipment; Select multiple new energy equipment sets under the type as analysis objects; Acquire a reference charging process data of the analysis object within a preset time range and matching the analysis object; Calculating secondary reference charging process data corresponding to each variable and used to characterize a variable change trend based on the primary reference charging process data; Calculating secondary actual charging process data corresponding to each variable and used to characterize a variable change trend based on the primary actual charging process data of the target new energy device; Based on the correspondence between the primary reference charging process data and / or the secondary reference charging process data and time, a first safety threshold corresponding to the primary reference charging process data and / or a second safety threshold corresponding to the secondary reference charging process data are determined. The first safety threshold is used as a comparison object for comparison with the primary actual charging process data of the target new energy device and / or the second safety threshold is used as a comparison object for comparison with the secondary actual charging process data of the target new energy device to determine that the target new energy device is a high-risk new energy device.

10. A charging safety protection device, characterized in that: Based on user terminals, including: a receiving module, configured to receive a protection signal containing high-risk data sent by the charging cloud platform after the charging cloud platform determines that the target new energy device is a high-risk new energy device according to a preset safety evaluation model, wherein the high-risk data represents the identity data of the target new energy device and corresponding abnormal data; a second acquisition module, configured to acquire an interference charging event indication based on the protection signal; wherein a plurality of charging protection measures are provided so that a user can select an appropriate charging protection measure from the plurality of charging protection measures, and the selected charging protection measure is used as the interference charging event indication; a fourth sending module, configured to send the interference charging event indication to the charging cloud platform so that the charging cloud platform obtains the high-risk number of the target new energy device, and when it is determined that the high-risk number does not exceed a preset number, send a first charging interference instruction to the target new energy device, the first charging interference instruction being generated based on the interference charging event indication; and when it is determined that the high-risk number exceeds the preset number, send a second charging interference instruction to the target new energy device, the second charging interference instruction being generated based on a preset charging protection measure; Correspondingly, the security evaluation model is specifically a big data security evaluation model; Then, the target new energy equipment is determined to be a high-risk new energy equipment according to the big data security evaluation model, specifically: Determining the type of the target new energy equipment; Select multiple new energy equipment sets under the type as analysis objects; Acquiring a reference charging process data of the analysis object within a preset time range and matching the analysis object; Calculating secondary reference charging process data corresponding to each variable and used to characterize a variable change trend based on the primary reference charging process data; Calculating secondary actual charging process data corresponding to each variable and used to characterize the variable change trend based on the primary actual charging process data of the target new energy equipment; Based on the correspondence between the primary reference charging process data and / or the secondary reference charging process data and time, a first safety threshold corresponding to the primary reference charging process data and / or a second safety threshold corresponding to the secondary reference charging process data are determined. The first safety threshold is used as a comparison object for comparison with the primary actual charging process data of the target new energy device and / or the second safety threshold is used as a comparison object for comparison with the secondary actual charging process data of the target new energy device to determine that the target new energy device is a high-risk new energy device.

11. A charging safety protection device, characterized in that: include: memory for storing computer programs; A processor, configured to implement the steps of the charging safety protection method according to any one of claims 1 to 8 when executing the computer program.

12. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the charging safety protection method according to any one of claims 1 to 8.

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