Safety early warning protection system and method for assembly type mobile charging and discharging facility and medium

Abstract

The invention provides a safety early warning protection system and method for a component type mobile charging and discharging facility and a medium. The system comprises a charging pile connected with a power grid side, an early warning display module and a cloud service platform, a charging cable is arranged on the charging pile, and the end part of the charging cable is fixedly connected with a charging gun; wherein the charging pile is used for outputting electric energy provided by a power grid side to the electric vehicle to form a charging process under the condition that the charging gun is connected with a charging interface of the electric vehicle; the early warning display module is used for acquiring and sending real-time charging data generated in the charging process to the cloud service platform; the cloud service platform is used for carrying out fault prediction on the real-time charging data to obtain early warning information by adopting a plurality of fault prediction models built by adopting a plurality of different decision tree algorithms; and the early warning module is also used for executing protection operation based on the early warning information and sending the early warning information to the early warning display module for display. According to the invention, the accuracy of fault early warning of the charging facility can be improved.

Description

Technical Field

[0001] The present invention relates to the field of electric vehicle charging piles, and in particular to a safety early warning protection system, method and medium for component-type mobile charging and discharging facilities. Background Art

[0002] During the operation of the charging piles in mobile charging facilities, key parameters such as charging current, voltage and temperature need to be monitored in real time in order to promptly detect signs of faults in the charging equipment. Traditional monitoring methods usually use scheduled inspections or post-fault repairs. This passive operation and maintenance mode makes it difficult to prevent equipment failures. How to predict the failure of charging equipment, discover the hidden dangers of equipment failures in advance and predict them, so as to avoid safety accidents caused by equipment failures, is a technical problem that needs to be solved urgently. Summary of the invention

[0003] In order to solve the problems of the prior art, the present invention proposes a safety warning protection system, method and medium for a component-type mobile charging and discharging facility, aiming to improve the accuracy of fault warning for the charging facility.

[0004] The purpose of the present invention is achieved by adopting the following technical solutions:

[0005] On the one hand, the present invention provides a safety warning protection system for a component-type mobile charging and discharging facility, the system comprising: a charging pile connected to a power grid, a warning display module and a cloud service platform; a charging cable is provided on the charging pile, and a charging gun is fixedly connected to the end of the charging cable; wherein:

[0006] The charging pile is used to output the electric energy provided by the power grid to the electric vehicle to form a charging process when the charging gun is connected to the charging interface of the electric vehicle;

[0007] The early warning display module is used to obtain and send real-time charging data generated during the charging process to the cloud service platform;

[0008] The cloud service platform is used to use multiple fault prediction models built with multiple different decision tree algorithms to perform fault prediction on the real-time charging data to obtain warning information; it is also used to perform protection operations based on the warning information, and send the warning information to the warning display module for display.

[0009] Optionally, the cloud service platform is specifically used to adopt each fault prediction model of the multiple fault prediction models to perform fault prediction on the real-time charging data to obtain a prediction result of each fault prediction model;

[0010] According to the performance score of each fault prediction model, a weighted calculation is performed on the prediction result of each fault prediction model to obtain the warning information.

[0011] Optionally, the cloud service platform is specifically used to use a test data set to perform a performance evaluation on each fault prediction model to obtain a performance score for each fault prediction model;

[0012] The test data set includes: first data marked as normal operation and second data marked as abnormal operation generated in the historical charging process.

[0013] Optionally, the real-time charging data includes: first charging data generated by the charging gun during the charging process, and second charging data generated by the electric vehicle during the charging process; wherein:

[0014] The charging pile is specifically used to obtain and send the first charging data and the second charging data to the early warning display module;

[0015] The early warning display module is specifically used to send the received first charging data and the second charging data to the cloud service platform.

[0016] Optionally, the first charging data includes: charging voltage data, charging current data and charging gun temperature data, and the second charging data includes: battery power data and battery temperature data; the charging interface is deployed with a first data interface unit, and the charging gun is deployed with: a second data interface unit, a current monitoring unit, a voltage monitoring unit and a first temperature sensor; wherein:

[0017] The second data interface unit is used to connect with the first data interface unit during the charging process to receive the battery power data and the battery temperature data transmitted by the first data interface unit;

[0018] The charging gun is specifically used to send the battery power data and the battery temperature data received by the second data interface unit, the charging current data monitored by the current monitoring unit, the charging voltage data monitored by the voltage monitoring unit, and the first temperature data collected by the first temperature sensor to the charging pile.

[0019] Optionally, the real-time charging data further includes: second temperature data; the grid side includes: a desktop transformer connected to the power supply grid, a controllable socket connected to the desktop transformer, and a power module deployed on a base, wherein the power module is respectively connected to the controllable socket and the charging pile; wherein:

[0020] The power module is used to transmit the electric energy provided by the power supply grid to the charging pile through the controllable socket and the desktop transformer in sequence;

[0021] The power module is also used to send second temperature data collected by a second temperature sensor deployed inside to the early warning display module during the charging process.

[0022] Optionally, the controllable socket is equipped with a first switch, and the charging pile is equipped with a second switch; wherein:

[0023] The cloud service platform is specifically used to control the first switch and / or the second switch accordingly based on the early warning information to achieve safety protection for the charging process.

[0024] Correspondingly, the present invention provides a safety warning protection method for a component-type mobile charging and discharging facility, which is applied to a safety warning protection system for a component-type mobile charging and discharging facility, the system comprising: a charging pile connected to a power grid, a warning display module and a cloud service platform; the charging pile is provided with a charging cable, and the end of the charging cable is fixedly connected to a charging gun; the method comprises:

[0025] When the charging gun is connected to the charging interface of the electric vehicle, the charging pile outputs the electric energy provided by the power grid to the electric vehicle to form a charging process;

[0026] The early warning display module acquires and sends the real-time charging data generated during the charging process to the cloud service platform;

[0027] The cloud service platform uses multiple fault prediction models built by multiple different decision tree algorithms to perform fault prediction on the real-time charging data to obtain warning information;

[0028] The cloud service platform performs protection operations based on the warning information, and sends the warning information to the warning display module for display.

[0029] Optionally, the cloud service platform uses multiple fault prediction models constructed by multiple different decision tree algorithms to perform fault prediction on the real-time charging data to obtain warning information, including:

[0030] The cloud service platform uses each of the multiple fault prediction models to perform fault prediction on the real-time charging data to obtain a prediction result of each fault prediction model;

[0031] The cloud service platform performs weighted calculation on the prediction results of each fault prediction model according to the performance score of each fault prediction model to obtain the warning information.

[0032] Optionally, before the cloud service platform performs weighted calculation on the prediction results of each fault prediction model according to the performance score of each fault prediction model to obtain the warning information, the method further includes:

[0033] The cloud service platform uses a test data set to perform a performance evaluation on each fault prediction model to obtain a performance score for each fault prediction model;

[0034] The test data set includes: first data marked as normal operation and second data marked as abnormal operation generated in the historical charging process.

[0035] Optionally, the real-time charging data includes: first charging data generated by the charging gun during the charging process, and second charging data generated by the electric vehicle during the charging process; before the early warning display module acquires and sends the real-time charging data generated by the charging process to the cloud service platform, the method further includes:

[0036] The charging pile acquires and sends the first charging data and the second charging data to the early warning display module.

[0037] Optionally, the first charging data includes: charging voltage data, charging current data and charging gun temperature data, and the second charging data includes: battery power data and battery temperature data; the charging interface is deployed with a first data interface unit, and the charging gun is deployed with: a second data interface unit, a current monitoring unit, a voltage monitoring unit and a first temperature sensor; the first charging data and the second charging data are obtained by the charging pile, including:

[0038] During the charging process, the second data interface unit is connected to the first data interface unit to receive the battery power data and the battery temperature data transmitted by the first data interface unit;

[0039] The charging gun sends the battery power data and the battery temperature data received by the second data interface unit, the charging current data monitored by the current monitoring unit, the charging voltage data monitored by the voltage monitoring unit, and the first temperature data collected by the first temperature sensor to the charging pile.

[0040] Optionally, the real-time charging data also includes: second temperature data; the grid side includes: a desktop transformer connected to the power supply grid, a controllable socket connected to the desktop transformer, and a power module deployed on a base, and the power module is respectively connected to the controllable socket and the charging pile; before the early warning display module obtains and sends the real-time charging data generated by the charging process to the cloud service platform, the method also includes:

[0041] The power module transmits the electric energy provided by the power supply grid to the charging pile through the controllable socket and the desktop transformer in sequence;

[0042] And, during the charging process, the power module sends second temperature data collected by a second temperature sensor deployed inside to the early warning display module.

[0043] Optionally, the controllable socket is deployed with a first switch, and the charging pile is deployed with a second switch; the cloud service platform performs a protection operation based on the warning information, including:

[0044] The cloud service platform controls the first switch and / or the second switch accordingly based on the warning information to achieve safety protection for the charging process.

[0045] On the other hand, the present application also provides a readable storage medium, characterized in that an execution program is stored thereon, and when the execution program is executed, the safety warning protection method for the component-type mobile charging and discharging facility as described in any of the above items is implemented.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] The present invention provides a safety warning protection system and method for component-type mobile charging and discharging facilities, the system includes: a warning display module, a cloud service platform, and a charging pile connected to the power grid side, and the charging pile is deployed with a charging cable whose end is fixedly connected to a charging gun. When the charging gun is connected to the charging interface of an electric vehicle to form a charging process, the cloud service platform can perform fault prediction on the real-time charging data generated during the charging process sent by the warning display module based on multiple fault prediction models built by multiple different decision tree algorithms to obtain warning information. In this way, on the one hand, the system deployment realizes instant connection, communication, identification, and diagnosis of components, and establishes a low-cost on-site safety protection system architecture under different component configuration scenarios of real-time charging of vehicles and piles, that is, establishes a protection model of dynamic rolling of the end-edge-network-intelligence risk boundary; on the other hand, the system uses multiple fault prediction models built by multiple different decision tree algorithms to perform fault prediction, rather than relying on the prediction results of a single fault prediction model, which can effectively improve the accuracy of the obtained warning information. In this way, a lightweight safety warning protection system for charging and discharging facilities can be obtained in many aspects, namely: deployment, data, function, and low cost.

[0048] It should be understood that the above general description and the following detailed description are merely exemplary and explanatory, and are not intended to limit the technical solutions provided by the embodiments of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work, among which:

[0050] Figure 1 A schematic diagram of the composition of a safety early warning protection system for a component-type mobile charging and discharging facility provided by an embodiment of the present invention;

[0051] Figure 2 A schematic diagram of the composition of another safety early warning protection system for a component-type mobile charging and discharging facility provided by an embodiment of the present invention;

[0052] Figure 3 A schematic structural diagram of a safety early warning protection system for a component-type mobile charging and discharging facility provided by an embodiment of the present invention;

[0053] Figure 4 A schematic diagram of a process for data transmission in a safety early warning and protection system for a component-type mobile charging and discharging facility provided in an embodiment of the present invention;

[0054] Figure 5A schematic diagram of a practical application corresponding to the safety warning and protection system for the piece-type mobile charging and discharging facility provided by an embodiment of the present invention;

[0055] Figure 6 A schematic flow chart of a safety warning protection method for a component-type mobile charging and discharging facility provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0056] The following will describe the embodiments of the present invention with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention, not for limiting the scope of protection of the present invention.

[0057] In the following description, reference is made to “some embodiments”, which describe a subset of all possible embodiments, but it will be understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0058] In the following description, the terms "first\second\third" involved are merely used to distinguish similar objects and do not represent a specific ordering of the objects. It can be understood that "first\second\third" can be interchanged with a specific order or sequence where permitted, so that the embodiments of the present invention described herein can be implemented in an order other than that illustrated or described herein.

[0059] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the technical field of the embodiments of the present invention. The terms used herein are only for the purpose of describing the embodiments of the present invention and are not intended to limit the embodiments of the present invention.

[0060] Some domestic companies have a certain project foundation for mobile charging facilities, but there is not much research on the reliable, safe and grid-friendly mobile strategies for large-scale mobile charging and discharging facilities. At the same time, there are two main types of mobile charging facilities at home and abroad: one is the "smart socket + mobile charging pile" proposed and put into use. The smart socket has a standardized power supply interface, which can be adapted to the mobile charging pile "plug and play", quickly connect 1-4 mobile charging piles, and realize multi-pile sharing and flexible control of charging load. The mobile charging device developed by this method has been put into operation in multiple highway service areas, contributing 20.1% of the charging volume of highway service areas during holidays, and the average daily charging volume of a single mobile charging pile is close to that of a fixed charging pile. One is the mobile charging service provided by a mobile emergency charging vehicle, which consists of a vehicle, energy storage battery pack, converter, control cabinet, power supply interface equipment, charger, fire protection system and auxiliary systems such as air conditioning, security, lighting, and reversing images.

[0061] At the same time, because the component-type mobile charging and discharging facilities have many components and high flexibility, they need to meet the needs of different scenarios. After the different components are connected, the charging piles in the station must meet the charging needs of users while ensuring the reliability of the charging facilities. If the potential hidden dangers of the charging facilities cannot be discovered or predicted in advance, there will be problems such as the failure of different components in the station after connection cannot be identified in real time, the fault handling is not accurate, the interaction ability with the power grid is poor, and the charging safety protection ability is insufficient. In other words, during the operation of the charging piles in the mobile charging facilities, it is necessary to monitor the key parameters such as charging current, voltage and temperature in real time in order to promptly detect the signs of failure of the charging equipment. In the related technology, regular inspections or post-fault repairs are usually adopted. This passive operation and maintenance mode is difficult to prevent equipment failures. How to realize the fault prediction of charging equipment, discover the hidden dangers of equipment failures in advance and predict them to avoid safety accidents caused by equipment failures is a technical problem that needs to be solved urgently.

[0062] Based on the above problems, the embodiments of the present invention provide a safety warning protection system, method and medium for a component-type mobile charging and discharging facility, aiming to improve the accuracy of fault warning for charging facilities.

[0063] Embodiment 1:

[0064] See also Figure 1 , which is a schematic diagram of a safety warning protection system for a component-type mobile charging and discharging facility provided by an embodiment of the present invention, wherein the system 100 comprises: a charging pile 101 connected to the power grid, a warning display module 102 and a cloud service platform 103; the charging pile 101 is provided with a charging cable 1011, and the end of the charging cable 1011 is fixedly connected to a charging gun 1012; wherein:

[0065] The charging pile 101 is used to output the electric energy provided by the grid side to the electric vehicle 200 to form a charging process when the charging gun 1012 is connected to the charging interface 201 of the electric vehicle 200;

[0066] The warning display module 102 is used to obtain and send real-time charging data generated during the charging process to the cloud service platform 103;

[0067] The cloud service platform 103 is used to use multiple fault prediction models built with multiple different decision tree algorithms to perform fault prediction on the real-time charging data to obtain warning information; it is also used to perform protection operations based on the warning information, and send the warning information to the warning display module 102 for display.

[0068] In some embodiments of the present invention, the charging pile 101 connected to the grid side is a device for charging the electric vehicle 200 (such as an electric bus, etc.). The main principle is to combine the input port of the charging pile 101 with the grid side to ensure that the charging gun 1012 on the charging pile 101 can be connected to the charging interface 201 of the electric vehicle 200 to achieve normal charging of the electric vehicle 200. Among them, the charging pile 101 can be divided into a DC charging pile and an AC charging pile according to different charging methods. Here, different types of charging piles 101 have different functions. For example, according to the different input and output powers of the charging pile 101 matched by the electric bus, the power of the matched AC charging pile should be controlled at about 40kW, which can be called slow charging for the slower charging method; while the power of the DC charging pile is controlled at 30kW to 200kW. Compared with the slow charging method, the fast charging speed is faster, which can promote the effective completion of the charging service.

[0069] In some embodiments of the present invention, a charging pile 101 is provided with a charging cable 1011, and a charging gun 1012 is fixedly connected to the end of the charging cable 1011. Here, the relevant design rules of the charging cable 1011, such as length, diameter, weight, etc., need to be designed in accordance with relevant charging standards. Correspondingly, the charging pile 101 in the present invention can be any one of a DC charging pile and an AC charging pile, and the present invention does not make any limitation on this.

[0070] In some embodiments of the present invention, the warning display module 102 can be a warning display board, which can display relevant data in the safety warning protection system 100, such as: real-time charging data, real-time warning data, warning information, etc.; wherein, the warning display module 102 displays relevant data in a display manner including but not limited to: tables, data change curves, graphs, etc., and the present invention does not impose any limitation on this.

[0071] Correspondingly, the cloud service platform 103 is a cloud data service platform, which has a computing module deployed therein for computing relevant data in the safety warning protection system 100. In an embodiment of the present invention, the cloud service platform 103 has multiple fault prediction models built by multiple different decision tree algorithms for performing fault prediction on real-time charging data.

[0072] In some embodiments of the present invention, the charging pile 101 can output the electric energy provided by the grid side connected to the charging gun 1012 to the electric car 200 according to the preset power (here, the preset power can be determined according to actual needs) to the electric car 200 to form a charging process. After the charging process is formed, the early warning display module 102 can obtain the real-time charging data in the charging process in real time and forward it to the cloud service platform 103, so that the cloud service platform 103 processes the received real-time charging data, that is, multiple fault prediction models built by multiple different decision tree algorithms can be used to predict faults for real-time charging data to obtain the early warning information corresponding to the charging process. Correspondingly, the cloud service platform 103 can send the predicted early warning information to the early warning display module 102 for display, so that the operator corresponding to the safety early warning protection system 100 can find the problem in time, and the cloud service platform 103 can also perform protection operations matching the early warning information, such as controlling the relevant equipment in the safety early warning protection system 100 to start the protection operation.

[0073] Here, the protection operation refers to the protection behavior for the charging process, such as: timely cutting off the relevant power supply, using relevant switches to timely close the relevant data channel or power supply channel, etc.

[0074] It should be noted that the real-time charging data includes but is not limited to: charging current data, charging voltage data, charging gun temperature data, battery power data and battery temperature data corresponding to the battery pack in the electric vehicle 200, etc. Correspondingly, the warning information is the warning data generated when the relevant data exceeds the rated value set in the safety warning protection system 100, including but not limited to:

[0075] (1) Warning 1: The required voltage exceeds the maximum allowable total charging voltage;

[0076] (2) Warning 2: The demand current exceeds the maximum allowable charging current;

[0077] (3) Warning 3: Charging overcurrent;

[0078] (4) Warning 4: The entire battery pack is over-voltage;

[0079] (5) Warning 5: The output voltage of the charger is out of tolerance;

[0080] (6) Warning 6: The output current of the charger exceeds the tolerance;

[0081] (7) Warning 7: Battery cell overvoltage;

[0082] (8) Warning 8: Battery overtemperature;

[0083] (9) Warning 9: The state of charge (SOC) exceeds the range;

[0084] (10) Warning 10: Abnormal battery temperature rise;

[0085] (11) Warning 11: Charging SOC remains unchanged;

[0086] (12) Warning 12: The maximum value of the highest temperature of big data is abnormal;

[0087] (13) Warning 13: The maximum temperature difference of big data is abnormal;

[0088] (14) Warning 14: The maximum temperature rise rate of big data is abnormal.

[0089] Here, the big data refers to a combination of real-time charging data.

[0090] In some embodiments of the present invention, the multiple different decision tree algorithms include, but are not limited to: Classification and Regression Tree (CART) algorithm, C45 decision tree classification algorithm, Iterative Dichotomiser 3 (ID3) decision tree classification algorithm, etc. Here, based on each decision tree algorithm in the multiple different decision tree algorithms, its corresponding fault prediction model can be constructed, thereby obtaining multiple different fault prediction models.

[0091] In some embodiments of the present invention, the warning display module 102 can not only display the warning information, but also display the real-time charging data; illustratively, when displaying the temperature data in the real-time charging data, the warning display module 102 can not only display the temperature sensor number corresponding to the temperature data collected, but also display the temperature change curve corresponding to the temperature data.

[0092] It should be noted that when the cloud service platform sends the warning information to the warning display module 102 for display, the warning display module 102 can also emit a warning sound, or light up a corresponding indicator light, etc. Here, the warning display module 102 displays the structured content corresponding to the charging pile 101.

[0093] In some embodiments of the present invention, the cloud service platform 103 uses multiple fault prediction models built by multiple different decision tree algorithms to perform fault prediction on real-time charging data to obtain warning information. Specifically, multiple fault prediction models may be used to simultaneously perform fault prediction on real-time charging data, that is, to predict changes in charging data over a period of time in the future. If the change exceeds the rated value set by the system (quantitative analysis), a corresponding fault warning is generated by default, thereby generating warning information so that protective actions can be taken in a timely manner subsequently, thereby reducing the occurrence of safety accidents during the charging process.

[0094] Exemplarily, the cloud service platform 103 uses multiple fault prediction models to predict the battery temperature in the real-time charging data, and predicts the battery temperature value in the future as A1, and compares it with the battery temperature value A2 (temperature warning value) set in the system. If A1 is greater than A2, it is assumed that there is a risk of excessive battery temperature during the charging process, and the corresponding warning information is generated.

[0095] In some embodiments of the present invention, the cloud service platform is specifically used to use each fault prediction model of the multiple fault prediction models to perform fault prediction on the real-time charging data to obtain a prediction result of each fault prediction model;

[0096] According to the performance score of each fault prediction model, a weighted calculation is performed on the prediction result of each fault prediction model to obtain the warning information.

[0097] In some embodiments of the present invention, the cloud service platform can use each fault prediction model of multiple fault prediction models to perform fault prediction on real-time charging data, thereby obtaining the prediction results of each fault prediction model, such as: the prediction result of fault prediction model 1 is: the probability of abnormal charging gun temperature (such as: too high temperature) is 80%; the prediction result of fault prediction model 2 is: the probability of battery charging SOC too fast is 90%; the prediction result of fault prediction model 3 is: the probability of excessive battery cell voltage in the electric vehicle 200 is 50%, etc.

[0098] In some embodiments of the present invention, the cloud service platform is specifically used to use a test data set to perform a performance evaluation on each of the fault prediction models to obtain a performance score for each of the fault prediction models;

[0099] The test data set includes: first data marked as normal operation and second data marked as abnormal operation generated in the historical charging process.

[0100] In some embodiments of the present invention, the historical charging process is that the charging pile, when the charging gun is connected to the charging interface of the historical electric vehicle, outputs the electric energy provided by the grid side to the historical electric vehicle to form a historical charging process. Here, the charging time, charging voltage, charging current, etc. corresponding to the historical charging process are determined according to actual needs.

[0101] In some embodiments of the present invention, a test data set (including: first data marked as normal operation and second data marked as abnormal operation) can be input into each fault prediction model for fault prediction, and the historical prediction results corresponding to each fault prediction model can be obtained. The historical prediction results are compared with the corresponding annotation information (labels) in the test data set to determine the performance score of each fault prediction model.

[0102] In some embodiments of the present invention, the performance score can be described using: 0.2, 0.8, 0.9, etc. Here, the value range corresponding to the default performance score is: (0, 1).

[0103] It should be noted that the first data may include but is not limited to: normal operating voltage data (including but not limited to: power supply voltage of the charging gun, voltage data of the single cell, total voltage data of the battery pack), temperature data (including but not limited to: temperature data of the charging gun, maximum temperature data of the single cell, minimum temperature data of the single cell), current data (including but not limited to: power supply current of the charging gun), etc. Similarly, the second data includes but is not limited to: abnormal operating current data, voltage data, temperature data, etc.

[0104] In some embodiments of the present invention, the first data marked as normal operation, that is, the first data is characterized as: the facilities or equipment in the safety warning protection system (including but not limited to: charging piles, warning display modules and cloud service platforms), and the historical charging data generated by the historically charged electric vehicles in a normal historical charging process; correspondingly, the second data marked as abnormal operation, that is, the second data is characterized as: the equipment in the safety warning protection system, and / or the historical charging data generated by the historically charged electric vehicles in an abnormal historical charging process.

[0105] In this way, the cloud service platform directly uses the test data set composed of the charging data generated in the historical charging process to evaluate the performance of each fault prediction model, and can obtain the performance score of each fault prediction model more conveniently and efficiently.

[0106] In some embodiments of the present invention, first, a performance evaluation of each fault prediction model can be performed based on a test data set composed of historical charging data of the historical charging process, such as: the precision of the evaluation model, the accuracy of the evaluation model, etc., to determine the performance score of each fault prediction model; then, based on the performance score of each fault prediction model, a weight value corresponding to each fault prediction model can be determined, and then, based on the weight value corresponding to each fault prediction model, a weighted calculation is performed on the corresponding prediction result to obtain the final warning information.

[0107] Exemplarily, multiple fault prediction models include: model A (the accuracy of model A in the performance score is 0.4), model B (the accuracy of model B in the performance score is 0.8) and model C (the accuracy of model C in the performance score is 0.8), then the weights corresponding to model A, model B, and model C can be: 0.2, 0.4, 0.4 respectively; at the same time, the prediction result 1 of model A is: abnormal temperature warning of the charging gun, with a probability of 90%; the prediction result 2 of model B is: charging SOC too fast, with a probability of 90%; the prediction result 3 of model C is: charging SOC too fast warning, with a probability of 80%. In this way, the cloud service platform 103 is specifically used to perform weighted calculation on the prediction results of each fault prediction model according to the performance score of each fault prediction model, and obtain the warning information, which can be described as: multiplying 0.2 by the probability of abnormal occurrence in prediction result 1, and obtaining: the probability of occurrence of abnormal temperature warning of charging gun is: 18%; multiplying 0.4 by the probability of abnormal occurrence of prediction result 2, and obtaining: the probability of occurrence of charging SOC too fast warning is: 36%; multiplying 0.4 by the probability of abnormal occurrence of prediction result 3, and obtaining: the probability of occurrence of charging SOC too fast warning is: 32%. That is, the warning information is: the probability of occurrence of charging SOC too fast warning is: 66%, while the probability of occurrence of abnormal temperature warning is only: 18%.

[0108] In this way, the prediction results output by multiple fault prediction models are weighted calculated based on the performance scores of the corresponding fault prediction models to obtain the final warning information, rather than relying on the prediction results of a single fault prediction model, thereby effectively improving the accuracy of fault warnings for charging facilities.

[0109] In some embodiments of the present invention, the real-time charging data includes: the first charging data of the charging gun during the charging process, and the second charging data of the electric vehicle during the charging process; wherein:

[0110] The charging pile is specifically used to obtain and send the first charging data and the second charging data to the early warning display module;

[0111] The early warning display module is specifically used to send the received first charging data and the second charging data to the cloud service platform.

[0112] In some embodiments of the present invention, during the charging process, the charging pile is connected to the electric vehicle through the charging gun to obtain the first charging data generated by the charging gun during the charging process and the second charging data generated by the electric vehicle during the charging process. Here, the charging pile will synchronously send the acquired first charging data and second charging data to the early warning display module, so that the early warning display module will send the received first charging data and second charging data to the cloud service platform, so that the cloud service platform can timely adopt multiple fault prediction models to analyze and predict faults of the first charging data and second charging data to obtain corresponding early warning information.

[0113] In this way, the charging pile forwards the first charging data generated by the charging gun during the charging process and the second charging data generated by the electric vehicle during the charging process to the cloud service platform through the early warning display module. In this way, the charging link in the safety early warning protection system can be connected and used immediately, and the lightweight networking mode and data access mode under the massive historical data of the vehicle-pile side can be realized, so as to realize the transfer of lightweight data in the safety early warning protection system, so as to provide strong data support for subsequent fault early warning and fault prediction.

[0114] Further, refer to Figure 2 As shown, it is a schematic diagram of the composition of another component-type mobile charging and discharging facility safety warning protection system provided by an embodiment of the present invention. Here, the first charging data includes: charging voltage data, charging current data and charging gun temperature data, and the second charging data includes: battery power data and battery temperature data; the charging interface 201 is deployed with a first data interface unit 2011, and the charging gun 1012 has: a second data interface unit 10123, a current monitoring unit 10121, a voltage monitoring unit 10122 and a first temperature sensor 10124; wherein:

[0115] The second data interface unit 10123 is used to connect with the first data interface unit 2011 during the charging process to receive the battery power data and the battery temperature data transmitted by the first data interface unit 2011;

[0116] The charging gun 1012 is specifically used to send the battery power data and the battery temperature data received by the second data interface unit 10123, the charging current data monitored by the current monitoring unit 10121, the charging voltage data monitored by the voltage monitoring unit 10122, and the first temperature data collected by the first temperature sensor 10124 to the charging pile 101.

[0117] In some embodiments of the present invention, when the first charging data generated by the charging gun 1012 during the charging process includes: charging voltage data, charging current data and charging gun temperature data, and the second charging data generated by the electric vehicle 200 during the charging process includes: battery power data and battery temperature data, take the charging interface 201 of the electric vehicle 200 as an example, wherein the first data interface unit 2011 is deployed, and the charging gun 1012 is deployed with: the second data interface unit 10123, the current monitoring unit 10121, the voltage monitoring unit 10122 and the first temperature sensor 10124; correspondingly, during the charging process, the second data interface unit 10123 (charging gun 1012) and the first data interface unit 2011 (charging interface 201 of the electric vehicle 200) can be pluggable and connected, and further, data transmission can be realized between the two, that is, the battery power data and battery temperature data generated by the electric vehicle 200 during the charging process transmitted by the first data interface unit 2011 can be sent to the second data interface unit 10123. Here, it is assumed that the electric car 200 will send the data (battery power data and battery temperature data) generated during the charging process to the first data interface unit 2011 inside the electric car 200.

[0118] It should be noted that the battery power data includes but is not limited to: single cell power data (which may further include: single cell maximum power data, single cell minimum power data), total battery power data, etc.; correspondingly, the battery temperature data includes but is not limited to: single cell temperature data (which may further include: single cell maximum temperature data, single cell minimum temperature data), total battery temperature data, etc. Here, it is assumed that the electric vehicle 200 is also equipped with a corresponding vehicle voltage monitoring unit and a temperature monitoring unit, so as to monitor and obtain the corresponding battery power data and battery temperature data in real time.

[0119] It should be noted that the battery power data mentioned above can be expressed in units of charge, such as xxWh, and correspondingly, the battery temperature data and the first temperature data can both be expressed as x°C, the charging current data can be expressed as 0.5C, and the corresponding charging voltage data can be expressed as 5V. Here, due to the different properties of the batteries in different electric vehicles 200, the corresponding battery temperature data, charging voltage data, charging current data, etc. can be adjusted according to actual needs, and the present invention does not impose any limitation on this.

[0120] In some embodiments of the present invention, the first temperature sensor may be a PT1000 temperature sensor, and its specific model may be determined according to actual needs, and the present invention does not impose any limitation on this.

[0121] Continue to refer here Figure 2As shown, a warning display module 102, i.e., a warning display board, is connected between the cloud service platform 103, i.e., the cloud data service platform and the charging pile 101. Here, the charging pile 101 will first send the acquired real-time charging data to the warning display board, and the warning display board can send the real-time charging data to the cloud data service platform through the fourth generation mobile communication technology (4G) module. Among them, the cloud data service platform can perform fault prediction on the real-time charging data, obtain corresponding warning information, or perform quantitative analysis on the real-time charging data, and determine the relevant values ​​after quantitative analysis. When it exceeds the rated value set by the system, it can take protective actions in time to reduce the occurrence of safety accidents during the charging process.

[0122] In some embodiments of the present invention, the charging gun 1012 is provided with a second data interface unit 10123, and the second data interface unit 10123 is adapted to the first data interface unit 2011. After the second data interface unit 10123 is connected to the first data interface unit 2011, the charging gun 1012 obtains the battery power data and battery temperature data of the electric vehicle 200 through the second data interface unit 10123, and feeds the battery power data and battery temperature data back to the charging pile 101, and sends the battery power data and battery temperature data to the cloud service platform 103 through the charging pile 101 and the display warning module 102. Correspondingly, when the charging gun 1012 is inserted into the charging interface 201 of the electric vehicle 200, the second data interface unit 10123 is inserted into the first data interface unit 2011 to realize automatic retrieval: battery temperature data, battery power data, so as to finally complete the charging gun 1012 monitoring the battery temperature and battery power of the electric vehicle 200, and to provide early warning protection for the battery temperature and battery power based on relevant thresholds.

[0123] In some embodiments of the present invention, the charging pile 101 transmits the collected real-time charging data to the early warning board, i.e., the early warning display module 102; illustratively, the charging pile 101 may transmit the temperature value collected by the PT1000 deployed in the charging gun 1012 to the early warning display module 102, so that the early warning display module 102 transmits it to the cloud service platform 103 via the 4G module (communication module).

[0124] In this way, the charging pile obtains real-time charging data during the charging process, such as battery power data, battery temperature data, charging current data, charging voltage data and first temperature data, etc., through the charging gun (second data interface unit) and the first data interface unit in turn, so as to provide parameter support for subsequent fault prediction.

[0125] In some embodiments of the present invention, the real-time charging data further includes: second temperature data; the grid side includes: a desktop transformer connected to the power supply grid, a controllable socket connected to the desktop transformer, and a power module deployed on a base, and the power module is respectively connected to the controllable socket and the charging pile; wherein:

[0126] The power module is used to transmit the electric energy provided by the power supply grid to the charging pile through the controllable socket and the desktop transformer in sequence;

[0127] The power module is also used to send second temperature data collected by a second temperature sensor deployed inside to the early warning display module during the charging process.

[0128] In some embodiments of the present invention, the second temperature sensor deployed on the power module may also be a PT1000 temperature sensor, and its specific model may be determined according to actual needs, and the present invention does not impose any limitation on this.

[0129] Here, you can refer to Figure 3 The figure is a schematic diagram of the structure of a safety warning protection system for a component-type mobile charging and discharging facility provided by an embodiment of the present invention. Among them, 1 can be a controllable socket (smart socket), which can be connected to a desktop transformer connected to the power supply grid, that is, the controllable socket 1 can be connected to the power supply grid side through a desktop transformer; 2 is a base for deploying a power module 3 on it, and correspondingly, two charging piles 4 (i.e. corresponding Figure 1 and Figure 2 The charging pile 101 shown in the figure is installed on the base 2, and each charging pile 4 is connected to two charging guns 6 (i.e. corresponding to the charging gun 6) through a connection module 5, such as a power supply cable. Figure 1 and Figure 2 The charging gun 1012 shown in FIG. 1 is connected.

[0130] Continue to refer Figure 3 As shown, the following description is made by taking the output power of the smart socket 1 as 240KW: the smart socket 1 provides power to two charging piles 4 through the power module 3. Correspondingly, the output power of each charging pile 4 is 120KW, and the output power of each charging gun 6 can be 60KW. Here, referring to the above description, each charging gun 6 can be internally deployed with a current monitoring unit, a voltage monitoring unit and a temperature sensor; wherein the current monitoring unit is used to monitor the charging current data, the voltage monitoring unit is used to obtain the voltage data, and the temperature sensor is used to obtain the temperature data of the charging gun 6 during the charging process.

[0131] In some embodiments of the present invention, the power module is used to transmit the electric energy provided by the power supply grid to the charging pile through the controllable socket and the desktop transformer in sequence; and during the charging process, the second temperature data collected by the second temperature sensor deployed internally can also be sent to an early warning display board for display. Correspondingly, the early warning display board can further send the second temperature data to a cloud data service platform to warn of the temperature of the power module. Correspondingly, the cloud data service platform obtains the charging current data, charging voltage data, temperature data of the charging gun, battery power data and battery temperature data of the electric vehicle during the charging process of the charging pile to the electric vehicle, and performs real-time analysis on the data to obtain the analysis results to determine whether to make a corresponding protective warning.

[0132] In this way, the real-time data of the charging gun during the charging process, the real-time data of the electric vehicle and the real-time data on the power grid side are sent to the cloud service platform in sequence through the charging gun (charging pile) or power module and early warning display module, which can achieve instant connection, transmission, identification and diagnosis, thereby providing timely data support for subsequent cloud service platform data analysis.

[0133] In some embodiments of the present invention, the controllable socket is equipped with a first switch, and the charging pile is equipped with a second switch; wherein:

[0134] The cloud service platform is specifically used to control the first switch and / or the second switch accordingly based on the early warning information to achieve safety protection for the charging process.

[0135] In some embodiments of the present invention, a first switch is deployed on the controllable socket and a second switch is deployed on the charging pile, so that the cloud service platform can control the first switch and / or the second switch to be turned on or off based on the predicted warning information, so as to achieve safety protection of the charging process. Figure 3 In the structural diagram shown, electric control switches are deployed on the smart socket 1 and the two charging piles 4 respectively. Correspondingly, the cloud service platform is internally communicated with the electric control switch. Subsequently, the cloud service platform can control the power-off operation of the smart socket 1, the power module 3, the two charging piles 4, the connection module 5 and the charging gun 6 through the deployed electric control switch.

[0136] In this way, by deploying corresponding switches, timely protection can be implemented for the occurrence of fault warnings.

[0137] In some embodiments of the present invention, by analyzing the data generated during the charging process of the component-type mobile charging and discharging facilities after the different components are connected, that is, the factors affecting the failure of the charging pile and the electric vehicle during the charging process are analyzed in real time, and multiple fault prediction models constructed by multiple different decision tree algorithms are used to predict the probability of failure of the charging facility in the future, so as to quickly identify abnormal charging modes during the charging process. In this way, it is possible to achieve safe on-site protection of component-type charging stations, improve the efficiency of on-site detection of charging safety, and improve the charging safety of charging facilities from the vehicle-pile side, so as to improve charging satisfaction and promote the development of the charging industry, thereby improving the efficiency of safety warning and fault elimination, and improving the service experience of electric vehicle users.

[0138] In some embodiments of the present invention, it is also possible to sort out the historical data of charging pile faults (such as the operation data during the historical charging process), apply big data analysis methods to extract fault characteristics, and perform performance scoring on the constructed fault prediction model to improve the accuracy of subsequent fault predictions. In addition, in the event of a predicted fault, a fault handling solution is pushed in a timely manner, providing strong support for the subsequent operation and maintenance personnel corresponding to the auxiliary charging system based on early warning information to quickly and accurately analyze the safety risks of the charging station and the power grid, and to handle the fault in a timely manner.

[0139] Correspondingly, such as Figure 4 As shown, it is a schematic diagram of the process of data transmission in the safety warning protection system of the component-type mobile charging and discharging facility provided by the embodiment of the present invention, wherein: the charging pile 101 transmits data to the cloud service platform 103 through the warning display module 102 and the 4G module 104 in sequence. Correspondingly, the cloud service platform 103 will also send the predicted warning information to the warning display module 102 through the 4G module 104 for display. In this way, a lightweight implementation method of a component-type mobile charging and discharging facility in terms of deployment, data, function, and low cost can be realized. Specifically, a lightweight local deployment scheme can be proposed in terms of deployment, so as to realize the instant connection, identification, and diagnosis of components, and establish a low-cost on-site safety protection system architecture under different component configuration scenarios of vehicle-pile real-time charging; in terms of data, a lightweight networking mode and data access mode under the instant connection and use of mobile components and the massive historical data on the vehicle-pile side are studied to realize lightweight mobility; in terms of function, a lightweight protection strategy is proposed, and a protection model of dynamic rolling of the end-edge-network-intelligence risk boundary is established to construct a component charging and discharging facility protection system.

[0140] The present invention provides a safety warning protection system for component-type mobile charging and discharging facilities, which includes: a warning display module, a cloud service platform, and a charging pile connected to the power grid side, and the charging pile is deployed with a charging cable whose end is fixedly connected to a charging gun. When the charging gun is connected to the charging interface of an electric vehicle to form a charging process, the cloud service platform can perform fault prediction on the real-time charging data generated during the charging process sent by the warning display module based on multiple fault prediction models built by multiple different decision tree algorithms to obtain warning information. In this way, on the one hand, the system deployment realizes instant connection, communication, identification, and diagnosis of components, and establishes a low-cost on-site safety protection system architecture under different component configuration scenarios of real-time charging of vehicles and piles, that is, establishes a protection model of dynamic rolling of the end-edge-network-intelligence risk boundary; on the other hand, the system uses multiple fault prediction models built by multiple different decision tree algorithms to perform fault prediction, rather than relying on the prediction results of a single fault prediction model, which can effectively improve the accuracy of the obtained warning information. In this way, a lightweight safety warning protection system for charging and discharging facilities can be obtained in many aspects, namely: deployment, data, function, and low cost.

[0141] Refer to the above description, such as Figure 5 As shown, it is a schematic diagram of the actual application corresponding to the safety warning protection system of the piece-type mobile charging and discharging facility provided by the embodiment of the present invention; wherein, the desktop transformer 501 on the power grid side is connected to the power cabinet 503 through the smart socket 502. Here, taking the output power of the smart socket 502 as 240KW as an example, the smart socket 502 provides power to two charging piles 504 through the power cabinet 503, and the output power of each charging pile is 120KW. Here, if two charging guns are deployed and connected to each charging pile 504, the output power of each corresponding charging gun is 60KW.

[0142] At the same time, four power units, namely 507, can be deployed in the power cabinet 503; each of the four power units in 507 can be configured to have an output power of 60KW, and each power unit can be configured with a temperature collector, such as PT1000. Figure 5 The four temperature collectors 508 are shown in FIG.

[0143] Continue to refer Figure 5 As shown, the two charging piles 504 can also be configured with corresponding temperature collectors, namely 509. Here, both the temperature collector 508 and the temperature collector 509 can transmit the collected temperature data to the early warning display module 505 through the data processor 510 (which can be an RS485 communication type transmitter), so that the early warning display module 505 can send the data to the cloud service platform 506 through a communication module, such as a 4G module, for corresponding data processing.

[0144] In addition, the two charging piles 504 can also send data other than temperature data during the charging process, such as current data and voltage data, to the early warning display module 505 with the help of a communication module, such as a controller area network (CAN), so that the early warning display module 505 can send the data to the cloud service platform 506 through a communication module, such as a 4G module, for corresponding data processing.

[0145] Furthermore, based on the safety warning and protection system for component-type mobile charging and discharging facilities provided by the present invention, the present invention also investigates the connection methods of fixed and component-type mobile charging and discharging facilities to sort out the factors affecting reliability, and further proposes a component reliability connection health assessment method, which can target mobile charging and discharging facilities under any component matching in multiple scenarios, and study and analyze the factors affecting the safety of charging facilities from the grid side, equipment side, vehicle side and operation platform side respectively, so as to construct a safety feature database and establish a component-type safety warning big data knowledge graph, and develop a safety warning identification module, and then propose a multi-level charging and discharging safety warning method to realize the construction of a safety influencing factor evaluation model in the cloud service platform.

[0146] In addition, those skilled in the art should know that:

[0147] The so-called charging pile is a device for charging electric vehicles, such as electric buses. The main principle of this device is to combine the input port of the charging pile with the power grid to ensure that the charging gun of the charging pile can be connected to the interface of the electric vehicle, thereby realizing the normal charging of electric vehicles, such as electric buses.

[0148] Here, the status of charging pile standards at home and abroad: Internationally, there are different evaluation standards for the use of charging piles. Foreign countries mainly use the International Electrotechnical Commission (IEC) standards, while domestically, in terms of the use of charging piles, charging piles are improved according to international standards. Starting from the actual domestic development, different communication standards and interfaces are designed according to the use environment of the charging piles. Many Chinese standards have been added in the revision, and many charging pile use management protocols and communication systems have been added to make them comply with the relevant standards for actual operations and promote the safe use of domestic urban electric charging piles, such as electric bus charging piles.

[0149] Among them, the safety issues on site of electric bus charging piles include the following aspects:

[0150] Electric shock protection: The relevant standard of JB / T5777.4-2000 shows that when using DC power supply equipment, the resistance between the grounding point and the total grounding should be controlled within 0.1 ohms. At the same time, the resistance between the charging pile casing and the ground should be greater than 0.1 ohms. The reason for this regulation is mainly because the contact screws are prone to rust and then loosen, causing the resistance to increase, which is not conducive to electric shock protection, and makes urban electric bus charging piles have a safety hazard of electric shock during use.

[0151] The charging pile trips during the charging process: During the use of urban electric buses, the tripping problem of the charging pile is the most common problem, and the occurrence of the tripping problem will seriously affect the normal completion of the charging of the electric bus. The main reason for the tripping may be caused by a short circuit in the internal structure of the charger. For the intervention of this problem, it is usually necessary to analyze the fault problem in time and then eliminate the problem. In order to eliminate the problem, first of all, the voltage and wire connection equipment in the charging pile should be tested to see if there is a problem. Secondly, the charging harness and the insulation equipment such as the charger should be fully checked. If there is no problem with the above two checks, it can be said that the fault is related to the charger problem, and the charger needs to be replaced in time to solve it. Finally, ensure the normal use of the charging pile. The staff must strictly follow the operating procedures for the use of the charging pile to avoid short circuit problems caused by operating errors.

[0152] In order to ensure the safe use of electric bus charging piles, it is necessary to eliminate and rectify the safety hazards in the use of electric buses in a timely manner. First of all, the management of the transformer facilities and equipment of the charging station should be done well. In order to ensure the normal operation of the power supply equipment, the management department shall conduct regular inspections every quarter to ensure that there are no safety hazards in the power supply facilities and equipment. In daily work, the safety officer shall implement the inspection of the power supply equipment every day, especially the ventilation and heat dissipation of the power supply room, because the safety of the power supply equipment is the basis for promoting the normal use of the charging pile. Only by ensuring the safety of the power supply equipment can the normal use of the charging equipment be promoted and the occurrence of safety problems be prevented. The second is to implement the safety officer to hold a certificate to work, because the staff must pass the industry assessment to have the inspection qualification, have a certain basic knowledge of safe use of electricity, and better implement their own protection work during the inspection, and further standardize the disposal of safety hazards in the charging station. Finally, it is to strengthen the emergency inspection of the charging pile equipment. The staff should make emergency plans in advance, check whether the emergency equipment on site is complete, and whether the warning signs are in place, so as to ensure that the safety of the electric bus charging pile is implemented during use.

[0153] Formulate safe charging procedures: In the current safety management of urban electric bus charging piles, in order to reduce safety risks, it is necessary to formulate relevant safe charging processes, reduce the production risks of safety positions, and provide safety management training for relevant staff, so that the staff are clear about the safety management process, because once the staff violates the rules and regulations during charging, it will cause safety accidents and cause electric shock accidents. Secondly, because the work pressure of charging pile staff is high, and the implementation of the work is highly repetitive, in order to prevent the occurrence of safety responsibility problems during the charging process, it is necessary to strengthen the safety management awareness of the staff and let them understand the hazards of illegal operations. Finally, in daily charging operations, it is necessary to comply with relevant safety operation regulations, post the relevant charging pile safety operation procedures on the power facilities, and post the common safety hazards, safety risks, and inspection points of the charging piles in a conspicuous location to guide and warn the staff.

[0154] Conduct emergency drills in a timely manner; in the actual safety management of urban electric bus charging piles, it is necessary to analyze the types and risks of safety accidents according to the actual charging situation, and formulate emergency plans in a timely manner for battery fires, equipment fires, natural fires and electric shock emergency response that may occur during the use of charging piles. Train management personnel and drivers, and conduct emergency drills in accordance with the prescribed plan. Through targeted emergency drills, the coordinated response capabilities of all parties will be improved, and the emergency response levels of managers and drivers will be substantially improved to prevent various accidents from happening.

[0155] Strengthen the construction of safety protection measures: In order to ensure the safe use of electric vehicle charging piles, relevant safety protection measures should be prepared in advance before use. Safety insulating gloves should be placed and insulating blankets should be laid in the safety protection area of ​​the charging piles. Secondly, a charging station safety monitoring and management system should be built to monitor the charging stations in all directions to ensure that every charging pile and every charging process are included in the monitoring scope, and continuously improve the level of information security in the use of electric bus charging piles. Thirdly, charging parking spaces should be marked for each charging pile, and each charging position should be equipped with a vehicle rear wheel limiter to prevent the charging pile from being hit when reversing. Safety warning signs and emergency handling procedures should be posted on the charging piles so that they can be properly handled in the event of an accident. Finally, strengthen the 24-hour security duty of the charging piles, implement an hourly inspection system for the power supply room and charging piles, and report any problems in a timely manner.

[0156] Do a good job in safety publicity and education: In order to strengthen the safety management of the use of charging piles, the first thing to do is to train bus drivers on the safe use of charging piles, so that they can fully master the relevant knowledge and operating procedures of charging piles, standardize the use of charging guns, ensure that the bus is safely powered during the charging process, and ensure that the personal safety of bus drivers is guaranteed when charging. Secondly, do a good job in safety education for managers, so that they have a grasp of electrical knowledge, tram knowledge and emergency knowledge, so that they can teach others. Finally, we need to enrich the safety education channels for charging piles, and strengthen the safety publicity of relevant personnel through WeChat groups and QQ groups. In summary, in the current safe use of urban electric bus charging piles, attaching great importance to safety issues in the use of charging piles can serve as a warning to operating companies, prevent the occurrence of safety accidents such as electrical fires, ensure the safety of electric buses and personnel, and reduce personnel and property.

[0157] Embodiment 2:

[0158] Based on the same inventive concept, an embodiment of the present invention further provides a safety warning protection method for a component-type mobile charging and discharging facility, which is applied to a safety warning protection system for a component-type mobile charging and discharging facility, the system comprising: a charging pile connected to the power grid side, a warning display module and a cloud service platform; a charging cable is provided on the charging pile, and a charging gun is fixedly connected to the end of the charging cable; reference Figure 6 FIG. 1 is a flow chart of a safety early warning protection method for a component-type mobile charging and discharging facility provided by an embodiment of the present invention, combined with Figure 6 The following instructions are shown:

[0159] Step 601: When the charging gun is connected to the charging interface of the electric vehicle, the charging pile outputs the electric energy provided by the grid side to the electric vehicle to form a charging process;

[0160] Step 602: The early warning display module acquires and sends the real-time charging data generated during the charging process to the cloud service platform;

[0161] Step 603: The cloud service platform uses multiple fault prediction models built by multiple decision tree algorithms to perform fault prediction on the real-time charging data to obtain warning information;

[0162] Step 604: The cloud service platform performs a protection operation based on the warning information, and sends the warning information to the warning display module for display.

[0163] In some embodiments of the present invention, the cloud service platform uses multiple fault prediction models built by multiple decision tree algorithms to perform fault prediction on the real-time charging data to obtain warning information, including: the cloud service platform uses each fault prediction model of the multiple fault prediction models to perform fault prediction on the real-time charging data to obtain a prediction result of each fault prediction model; the cloud service platform performs weighted calculation on the prediction result of each fault prediction model according to the performance score of each fault prediction model to obtain the warning information.

[0164] In some embodiments of the present invention, the cloud service platform performs weighted calculation on the prediction results of each fault prediction model according to the performance score of each fault prediction model, and before obtaining the warning information, the method further includes: the cloud service platform uses a test data set to perform a performance evaluation on each fault prediction model to obtain a performance score for each fault prediction model; wherein the test data set includes: first data marked as normal operation and second data marked as abnormal operation generated during the historical charging process.

[0165] In some embodiments of the present invention, the real-time charging data includes: first charging data generated by the charging gun during the charging process, and second charging data generated by the electric vehicle during the charging process; before the early warning display module obtains and sends the real-time charging data generated by the charging process to the cloud service platform, the method also includes: the charging pile obtains and sends the first charging data and the second charging data to the early warning display module.

[0166] In some embodiments of the present invention, the first charging data includes: charging voltage data, charging current data and charging gun temperature data, and the second charging data includes: battery power data and battery temperature data; the charging interface is deployed with a first data interface unit, and the charging gun is deployed with: a second data interface unit, a current monitoring unit, a voltage monitoring unit and a first temperature sensor; the obtaining of the first charging data and the second charging data by the charging pile includes: during the charging process, the second data interface unit is connected to the first data interface unit to receive the battery power data and the battery temperature data transmitted by the first data interface unit; the charging gun sends the battery power data and the battery temperature data received by the second data interface unit, the charging flow data monitored by the current monitoring unit, the charging voltage data monitored by the voltage monitoring unit and the first temperature data collected by the first temperature sensor to the charging pile.

[0167] In some embodiments of the present invention, the real-time charging data also includes: second temperature data; the grid side includes: a desktop transformer connected to the power supply grid, a controllable socket connected to the desktop transformer, and a power module deployed on a base, and the power module is respectively connected to the controllable socket and the charging pile; before the early warning display module obtains and sends the real-time charging data generated by the charging process to the cloud service platform, the method also includes: the power module transmits the electric energy provided by the power supply grid to the charging pile through the controllable socket and the desktop transformer in turn; and, during the charging process, the power module sends the second temperature data collected by the second temperature sensor deployed internally to the early warning display module.

[0168] In some embodiments of the present invention, the controllable socket is deployed with a first switch, and the charging pile is deployed with a second switch; the cloud service platform performs a protection operation based on the early warning information, including: the cloud service platform controls the first switch and / or the second switch accordingly based on the early warning information to achieve safety protection of the charging process.

[0169] It should be noted that the description of the security warning protection method is similar to the description of the above system embodiment, and has similar beneficial effects as the system embodiment. For technical details not disclosed in the method embodiment of the present invention, please refer to the description of the system embodiment of the present invention for understanding.

[0170] Embodiment 3:

[0171] Based on the same inventive concept, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It is understandable that the computer-readable storage medium here can include both built-in storage media in a computer device and, of course, extended storage media supported by the computer device. The computer-readable storage medium provides a storage space that stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of a safety warning protection method for a component-type mobile charging and discharging facility in the above embodiment.

[0172] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0173] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0174] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0175] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0176] The above are merely embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention are included in the scope of the claims of the present invention to be approved.

Claims

1. A safety warning and protection system for a component-type mobile charging and discharging facility, characterized in that: The system includes: a charging pile connected to the power grid, an early warning display module and a cloud service platform; a charging cable is provided on the charging pile, and a charging gun is fixedly connected to the end of the charging cable; wherein: The charging pile is used to output the electric energy provided by the power grid to the electric vehicle to form a charging process when the charging gun is connected to the charging interface of the electric vehicle; The early warning display module is used to obtain and send real-time charging data generated during the charging process to the cloud service platform; The cloud service platform is used to use multiple fault prediction models built with multiple different decision tree algorithms to perform fault prediction on the real-time charging data to obtain warning information; it is also used to perform protection operations based on the warning information, and send the warning information to the warning display module for display.

2. The system according to claim 1, characterized in that The cloud service platform is specifically used to use each fault prediction model of the multiple fault prediction models to perform fault prediction on the real-time charging data to obtain a prediction result of each fault prediction model; According to the performance score of each fault prediction model, a weighted calculation is performed on the prediction result of each fault prediction model to obtain the warning information.

3. The system according to claim 2, characterized in that The cloud service platform is specifically used to use a test data set to perform a performance evaluation on each fault prediction model to obtain a performance score for each fault prediction model; The test data set includes: first data marked as normal operation and second data marked as abnormal operation generated in the historical charging process.

4. The system according to claim 1, characterized in that The real-time charging data includes: first charging data generated by the charging gun during the charging process, and second charging data generated by the electric vehicle during the charging process; wherein: The charging pile is specifically used to obtain and send the first charging data and the second charging data to the early warning display module; The early warning display module is specifically used to send the received first charging data and the second charging data to the cloud service platform.

5. The system according to claim 4, characterized in that The first charging data includes: charging voltage data, charging current data and charging gun temperature data, and the second charging data includes: battery power data and battery temperature data; the charging interface is equipped with a first data interface unit, and the charging gun is equipped with: a second data interface unit, a current monitoring unit, a voltage monitoring unit and a first temperature sensor; wherein: The second data interface unit is used to connect with the first data interface unit during the charging process to receive the battery power data and the battery temperature data transmitted by the first data interface unit; The charging gun is specifically used to send the battery power data and the battery temperature data received by the second data interface unit, the charging current data monitored by the current monitoring unit, the charging voltage data monitored by the voltage monitoring unit, and the first temperature data collected by the first temperature sensor to the charging pile.

6. The system according to claim 1, characterized in that The real-time charging data also includes: second temperature data; the grid side includes: a desktop transformer connected to the power supply grid, a controllable socket connected to the desktop transformer, and a power module deployed on a base, wherein the power module is respectively connected to the controllable socket and the charging pile; wherein: The power module is used to transmit the electric energy provided by the power supply grid to the charging pile through the controllable socket and the desktop transformer in sequence; The power module is also used to send second temperature data collected by a second temperature sensor deployed inside to the early warning display module during the charging process.

7. The system according to claim 6, characterized in that The controllable socket is equipped with a first switch, and the charging pile is equipped with a second switch; wherein: The cloud service platform is specifically used to control the first switch and / or the second switch accordingly based on the early warning information to achieve safety protection for the charging process.

8. A safety early warning protection method for a component-type mobile charging and discharging facility, characterized in that: A safety warning and protection system applied to a component-type mobile charging and discharging facility, the system comprising: a charging pile connected to a power grid, a warning display module and a cloud service platform; a charging pile is provided with a charging cable, and a charging gun is fixedly connected to the end of the charging cable; the method comprises: When the charging gun is connected to the charging interface of the electric vehicle, the charging pile outputs the electric energy provided by the power grid to the electric vehicle to form a charging process; The early warning display module acquires and sends the real-time charging data generated during the charging process to the cloud service platform; The cloud service platform uses multiple fault prediction models built by multiple different decision tree algorithms to perform fault prediction on the real-time charging data to obtain early warning information; The cloud service platform performs protection operations based on the warning information, and sends the warning information to the warning display module for display.

9. The method according to claim 8, characterized in that The multiple fault prediction models constructed by the cloud service platform using multiple different decision tree algorithms to perform fault prediction on the real-time charging data to obtain warning information include: The cloud service platform uses each of the multiple fault prediction models to perform fault prediction on the real-time charging data to obtain a prediction result of each fault prediction model; The cloud service platform performs weighted calculation on the prediction results of each fault prediction model according to the performance score of each fault prediction model to obtain the warning information.

10. The method according to claim 9, characterized in that Before the cloud service platform performs weighted calculation on the prediction results of each fault prediction model according to the performance score of each fault prediction model to obtain the warning information, the method further includes: The cloud service platform uses a test data set to perform a performance evaluation on each fault prediction model to obtain a performance score for each fault prediction model; The test data set includes: first data marked as normal operation and second data marked as abnormal operation generated in the historical charging process.

11. The method according to claim 8, wherein the real-time charging data comprises: first charging data generated by the charging gun during the charging process, and second charging data generated by the electric vehicle during the charging process; Before the early warning display module acquires and sends the real-time charging data generated by the charging process to the cloud service platform, the method further includes: The charging pile acquires and sends the first charging data and the second charging data to the early warning display module.

12. The method according to claim 11, characterized in that The first charging data includes: charging voltage data, charging current data and charging gun temperature data, and the second charging data includes: battery power data and battery temperature data; the charging interface is deployed with a first data interface unit, and the charging gun is deployed with: a second data interface unit, a current monitoring unit, a voltage monitoring unit and a first temperature sensor; the first charging data and the second charging data are obtained by the charging pile, including: During the charging process, the second data interface unit is connected to the first data interface unit to receive the battery power data and the battery temperature data transmitted by the first data interface unit; The charging gun sends the battery power data and the battery temperature data received by the second data interface unit, the charging current data monitored by the current monitoring unit, the charging voltage data monitored by the voltage monitoring unit, and the first temperature data collected by the first temperature sensor to the charging pile.

13. The method according to claim 8, characterized in that The real-time charging data also includes: second temperature data; the grid side includes: a desktop transformer connected to the power supply grid, a controllable socket connected to the desktop transformer, and a power module deployed on a base, and the power module is respectively connected to the controllable socket and the charging pile; before the early warning display module obtains and sends the real-time charging data generated by the charging process to the cloud service platform, the method also includes: The power module transmits the electric energy provided by the power supply grid to the charging pile through the controllable socket and the desktop transformer in sequence; And, during the charging process, the power module sends second temperature data collected by a second temperature sensor deployed inside to the early warning display module.

14. The method according to claim 13, characterized in that The controllable socket is equipped with a first switch, and the charging pile is equipped with a second switch; the cloud service platform performs a protection operation based on the early warning information, including: The cloud service platform controls the first switch and / or the second switch accordingly based on the warning information to achieve safety protection for the charging process.

15. A readable storage medium, characterized in that: An execution program is stored thereon, and when the execution program is executed, the safety warning protection method for the component-type mobile charging and discharging facility as described in any one of claims 8 to 14 is implemented.

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