Charge and discharge state identification control method and system of alternating current charging equipment

Abstract

The invention relates to a charge and discharge state identification control method and system for alternating current charging equipment, and belongs to the technical field of charge and discharge, and the method comprises the steps: receiving a work instruction, and detecting a resistance value between a CC line and a PE line; whether a working state matched with the current resistance value exists or not is determined based on the resistance value, and if yes, a working process corresponding to the working state matched with the current resistance value is executed; wherein the working state at least comprises a charging state and a discharging state, the working process corresponding to the charging state is a charging process, and the working process corresponding to the discharging state is a discharging process; in the process of executing the working process, working parameters corresponding to the current working process are monitored and analyzed in real time, and starting and stopping of the current working process are controlled based on an analysis result; wherein the working parameters at least comprise current and voltage. The method has the effects of realizing identification of the charging and discharging state, realizing safety protection in the charging and discharging process and reducing potential safety hazards.

Description

Technical Field

[0001] The present application relates to the field of charging and discharging technology, and in particular to a charging and discharging state identification and control method and system for an AC charging device. Background Art

[0002] With the development and promotion of new energy vehicles, helping to achieve the "dual carbon" goal, new energy vehicles have become an important means of green and clean travel for the country. The market share of new energy vehicles continues to increase, and as users have higher and higher requirements for convenient charging of electric vehicles and charging of other loads by electric vehicles, the supporting charging and discharging facilities have also received large-scale investment and construction, such as the charging and discharging piles and bidirectional charging and discharging guns that have emerged.

[0003] However, in the process of charging and discharging new energy vehicles using the aforementioned charging and discharging facilities, it is easy to accidentally touch the charging and discharging connection terminals, or the charging and discharging connection terminals are incorrectly plugged in, resulting in failure to charge and discharge smoothly, thereby affecting the charging and discharging process, and even causing damage to the vehicle's charging and discharging components, posing a safety hazard, so there is room for improvement. Summary of the invention

[0004] In order to ensure the smooth progress of the charging and discharging process and reduce the occurrence of potential safety hazards, the present application provides a charging and discharging state identification and control method and system for an AC charging device.

[0005] In a first aspect, the present application provides a method for identifying and controlling the charging and discharging status of an AC charging device, comprising: Receive work instructions and detect the resistance value between CC line and PE line; Determine whether there is a working state matching the current resistance value based on the resistance value, and if so, execute the working process corresponding to the working state matching the current resistance value; wherein the working state includes at least a charging state and a discharging state, the working process corresponding to the charging state is a charging process, and the working process corresponding to the discharging state is a discharging process; During the execution of the working process, the working parameters corresponding to the current working process are monitored and analyzed in real time, and the start and stop of the current working process are controlled based on the analysis results; wherein the working parameters include at least current and voltage.

[0006] By adopting the above technical solution, the CC line refers to the charging control line, and the PE line refers to the protective grounding line. In the process of charging and discharging the electric vehicle, the PE line and the CC line play an important role. The PE line is used to ensure the safe grounding of the equipment, and the CC line is a signal line used to detect whether the charging and discharging facilities are correctly inserted into the vehicle. When the charging and discharging facilities (such as a bidirectional charging and discharging gun) are inserted into the vehicle, the on-board system will wake up the vehicle. In order to prevent the vehicle from being in an awakened state for a long time and unable to charge because the other end of the charging and discharging facilities is not connected to the power supply after being awakened, thereby causing the vehicle to be pressed against the auxiliary battery and lose power, the present application specifically defines: only when it is detected that the resistance value between the CC line and the PE line reaches a value that can match the corresponding working state (such as the charging state), will it be awakened and enter the corresponding working process (such as the charging process), so as to reduce the damage to the charging and discharging components of the vehicle; accordingly, only when the resistance value between the CC line and the PE line reaches a value that can match the discharge state, will the discharge process be executed, even if the relay is stuck and caused to be unable to charge, it will not be accidentally touched by personnel and cause safety risks, thereby improving the safety protection performance.

[0007] Optionally, the real-time monitoring and analyzing of working parameters corresponding to the current working process, and controlling the start and stop of the current working process based on the analysis result, includes: Real-time monitoring and analysis of the working data values ​​corresponding to the working parameters when the working state is the charging state; when the analysis result is a slight abnormality and the abnormal state of the slight abnormality lasts for a first preset time, the charging process is suspended, and when the analysis result meets the first preset recovery condition, the charging process is resumed; when the analysis result is a severe abnormality, the charging process is stopped and a warning message is issued; wherein the working parameters at least include current, voltage, and charging frequency; Monitor and analyze the temperature data when the working state is the charging state in real time. When the analysis result is a slight abnormality, determine whether the slight abnormality is specifically the first slight abnormality or the second slight abnormality; if the slight abnormality is specifically the first slight abnormality, and the abnormal state of the first slight abnormality lasts for a second preset time, reduce the charging current in the charging state; if the slight abnormality is specifically the second slight abnormality, and the corresponding abnormal state of the second slight abnormality lasts for a third preset time, suspend charging, and resume charging when the analysis result meets the second preset recovery condition.

[0008] By adopting the above technical solution, this solution monitors the current, voltage, charging frequency and temperature data during the charging process in real time, processes and analyzes the monitored data, and then controls the start and stop of the working process, so as to achieve over-current, over-voltage, under-voltage, over-frequency and under-frequency and over-temperature protection control, thereby improving the safety of the charging process.

[0009] Optionally, the method further includes: Whenever an operating parameter with a slight abnormality or a severe abnormality is analyzed, the operating data values ​​and data states corresponding to all the operating parameters are determined; wherein the data states include abnormal states corresponding to the slight abnormality or the severe abnormality of the analysis result, and normal states corresponding to the analysis result of neither slight abnormality nor severe abnormality; Based on the working data value and the data state, an association relationship group is generated; wherein the association relationship group includes a main working parameter and a slave working parameter, and an associated data value range corresponding to the main working parameter and the slave working parameter, and satisfies: when the data state of the main working parameter changes to an abnormal state, and the corresponding working data value falls into the corresponding associated data value, the data state of the slave working parameter in the associated relationship group also changes to an abnormal state; The real-time monitoring and analysis of the working parameters corresponding to the current working process, and the control of the start and stop of the current working process based on the analysis results, include: real-time monitoring and analysis of the working data values ​​corresponding to the working parameters when the working state is the charging state, and when the analysis result shows that the first working parameter is severely abnormal, the monitoring and analysis operation of the working parameters corresponding to the charging state is stopped while the charging process is stopped; When a second working parameter with a slightly abnormal analysis result appears, determine whether there is an association relationship group with the second working parameter as the main working parameter and the working data corresponding to the current second working parameter falls within the corresponding association data value range; if so, suspend monitoring of the slave working parameters in the corresponding association relationship group until the data status corresponding to the second working parameter becomes normal.

[0010] By adopting the above-mentioned technical scheme, when one of the working parameters is in an abnormal state, it may cause other working parameters to be in an abnormal state as well. For example, when the current data is in an abnormal state and causes overcurrent, it is easy to cause the temperature to rise and overheat, and overcurrent and overvoltage may also occur simultaneously in some cases. Therefore, the present application summarizes the association relationship group in combination with the above-mentioned scheme, and distinguishes the main working parameters from the slave working parameters. When it is necessary to monitor the working parameters in the working process in real time, if the analysis result is a severe abnormality, the working process is stopped, and the monitoring and analysis operations of the corresponding working parameters will also be stopped; and if the working parameter as the main working parameter is slightly abnormal, when determining whether the abnormal state of the main working parameter of the abnormal state will continue for the first preset time period, the monitoring and analysis operations of the corresponding slave working parameters can be suspended until the data state of the main working parameter becomes normal and the monitoring of the corresponding slave working parameters is resumed, thereby reducing the amount of system computing consumed by monitoring and analysis.

[0011] Optionally, each slave working parameter in each of the association relationship groups has an association attribute with the master working parameter in the corresponding association relationship group, and the association attribute includes an association interval duration; If so, suspending the monitoring of the slave operating parameter in the corresponding association relationship group until the data state corresponding to the second operating parameter becomes a normal state, including: If it exists, based on the corresponding association attributes in the association relationship group, and according to the landing point of the working data corresponding to the second working parameter in the corresponding association data range, determine the association interval duration and association time of each slave working parameter in the association relationship group, and when the association time is reached, suspend monitoring of the corresponding slave working parameter until the data state corresponding to the second working parameter becomes normal; wherein, the association time = current time + association interval duration.

[0012] By adopting the above technical solution, when the data state of the main working parameter becomes an abnormal state, the slave working parameter may not immediately become an abnormal state due to the change of the main working parameter (that is, when the associated interval duration is 0), but may become an abnormal state after the associated interval duration has passed since the data state of the main working parameter becomes an abnormal state. Therefore, the time point to stop monitoring and analyzing operations on each slave working parameter can be determined according to the associated interval duration.

[0013] Optionally, when the association time is reached, suspending the monitoring of the corresponding slave operating parameter until the data state corresponding to the second operating parameter becomes a normal state includes: When the association moment is reached and the corresponding slave working parameter is not in the continuous abnormality determination stage and does not meet the preset recovery condition, the monitoring of the corresponding slave working parameter is suspended until the data state corresponding to the second working parameter becomes normal; wherein, the continuous abnormality determination stage refers to the stage where the analysis result corresponding to the working parameter is determined to be a mild abnormality and whether the abnormal state of the mild abnormality continues for a preset time period, and the preset time period includes a first preset time period, a second preset time period and a third preset time period; the preset recovery condition includes a first preset recovery condition and a second preset recovery condition.

[0014] By adopting the above technical solution, after the analysis result is determined to be a slight abnormality, the present application proposes that charging will be stopped only after the slight abnormality continues for a preset period of time. If the analysis result of the main working parameter A is determined to be a slight abnormality, the main working parameter A enters the continuous abnormality determination stage, and as the main working parameter, it will cause the analysis result of the slave working parameter B to be slightly abnormal after 5 minutes. Then, according to the above solution, within these 5 minutes, the present application will maintain the monitoring of the slave working parameter B, and suspend the monitoring and analysis of the slave working parameter B after 5 minutes. However, if during these 5 minutes, the analysis result of the slave working parameter B becomes a slight abnormality, and after 5 minutes, the main working parameter A enters the continuous abnormality determination stage. The data status of parameter A becomes normal. At this time, the continuous abnormality determination stage corresponding to the main working parameter A ends ahead of schedule. If the monitoring of the slave working parameter B is stopped when 5 minutes are reached according to the original operation plan, the continuous abnormality determination stage of the slave working parameter B will be interrupted. If the mild abnormal state of the slave working parameter B can indeed last for the preset time, then this operation will cause a delay in the stop time of the working process. Therefore, this plan is further limited on the basis of the above plan, that is, the priority is determined: when the associated time is reached, the monitoring of the slave working parameter B will be suspended only when the slave working parameter B is not in the continuous abnormality determination stage and does not meet the preset recovery conditions.

[0015] Optionally, the executing a work process corresponding to a work state matching a current resistance value includes: Execute the work process corresponding to the work state matching the current resistance value, generate a work task, and predict and output the completion time of the work task based on a pre-built prediction model; The method further comprises: When the work process corresponding to the work task stops, the completion time is replaced by the stop time and the completion time of the work task is updated and output; When the work process corresponding to the work task is suspended, the pause and resume duration is predicted by the prediction model according to the work data values ​​of all work parameters at the time of suspension, and the completion time of the work task is updated and output based on the pause and resume duration; wherein the pause and resume duration refers to the time from the time of suspension to the time when the preset recovery condition is met; the preset recovery condition includes a first preset recovery condition and a second preset recovery condition.

[0016] By adopting the above technical scheme, this scheme proposes to use a pre-built prediction model to predict the completion time of the work task corresponding to the work process, and enable users to know the completion time of the work task in real time, thereby improving user experience; the completion time here excludes the suspension of the work process due to the abnormal state of the analysis result of the work parameter, and if the work process is stopped, since the work process will not be resumed after stopping, the stop time can be considered as the completion time of the work task, and for the case where the work process is suspended, the prediction model can be used to predict the suspension and resumption time, so as to re-update the originally predicted completion time according to the suspension and resumption time.

[0017] Optionally, the method further includes: Whenever the work process corresponding to the work task is suspended, the work data at the time of suspension and the work data after suspension when the preset recovery conditions are actually met are recorded, the recorded work data are integrated into a training set, and the prediction model is optimized using the training set.

[0018] By adopting the above technical solution, the working data after suspension when the preset recovery conditions are actually met is used as a training set to train and optimize the prediction model to improve the prediction accuracy of the prediction model.

[0019] In a second aspect, the present application provides a charging and discharging state identification and control system for an AC charging device, comprising: The resistance value monitoring module is used to receive work instructions and detect the resistance value between the CC line and the PE line; A working state matching module, used to determine whether there is a working state matching the current resistance value based on the resistance value, and if so, execute the working process corresponding to the working state matching the current resistance value; wherein the working state includes at least a charging state and a discharging state, the working process corresponding to the charging state is a charging process, and the working process corresponding to the discharging state is a discharging process; The working process control module is used to monitor and analyze the working parameters corresponding to the current working process in real time during the execution of the working process, and control the start and stop of the current working process based on the analysis results; wherein the working parameters include at least current and voltage.

[0020] In a third aspect, the present application provides a charging and discharging state identification and control device for an AC charging device, comprising a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute any one of the methods described in the first aspect.

[0021] In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and execute any one of the methods described in the first aspect.

[0022] In summary, this application includes the following beneficial technical effects: This application identifies the charge and discharge status based on the resistance value between the CC line and the PE line, and then executes the corresponding charge and discharge process according to the identified charge and discharge status. In addition, the identification control method will also monitor and analyze the corresponding working data in real time during the charge and discharge process to achieve protection control of the charge and discharge process and ensure the safety of the charge and discharge process. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0024] Figure 1 It is a flow chart of a charging and discharging state identification and control method of an AC charging device disclosed in an embodiment of the present application.

[0025] Figure 2 It is a structural block diagram of the charge and discharge state identification control system of the AC charging device disclosed in the embodiment of the present application.

[0026] Explanation of the accompanying drawings: 1. Resistance value monitoring module; 2. Working state matching module; 3. Working process control module. DETAILED DESCRIPTION

[0027] The following is combined with Figure 1-2 This application is described in further detail.

[0028] The embodiment of the present application discloses a charge and discharge state identification control method for an AC charging device (hereinafter referred to as the identification control method). The execution subject of the identification control method disclosed in the present application is a charge and discharge state identification control system for an AC charging device (hereinafter referred to as the identification control system). Figure 1 The process steps of the identification control method are specifically explained.

[0029] S101, receiving a work instruction and detecting the resistance value between the CC line and the PE line.

[0030] S102, based on the resistance value, determine whether there is a working state that matches the current resistance value. If so, execute the working process corresponding to the working state that matches the current resistance value; wherein the working state includes at least a charging state and a discharging state, the working process corresponding to the charging state is the charging process, and the working process corresponding to the discharging state is the discharging process.

[0031] In implementation, the work instruction can be triggered by the tram user based on a preset trigger button, or the trigger condition can be preset manually. When the trigger condition is met, it is automatically triggered; for example, the trigger condition can be: when one end of the bidirectional charge and discharge gun is inserted into the tram charging port and the other end is inserted into the mains socket. The identification control system is used to detect the resistance value between the current CC line and the PE line when receiving the work instruction, and compare the current resistance value with the preset first resistance value and the preset second resistance value. When the current resistance value is consistent with the preset first resistance value, there is a working state that matches the current resistance value, and the working state is a charging state; when the current resistance value is consistent with the preset second resistance value, there is a working state that matches the current resistance value, and the working state is a discharging state.

[0032] S103, in the process of executing the working process, real-time monitoring and analysis of the working parameters corresponding to the current working process, and control the start and stop of the current working process based on the analysis results; wherein the working parameters include at least current and voltage.

[0033] The “real-time monitoring and analysis of the working parameters corresponding to the current working process, and control of the start and stop of the current working process based on the analysis results” in S103 specifically includes the following sub-steps: Real-time monitoring and analysis of the working data values ​​corresponding to the working parameters when the working state is the charging state, when the analysis result is a slight abnormality and the abnormal state of the slight abnormality lasts for a first preset time, pausing the charging process, and when the analysis result meets the first preset recovery condition, resuming the charging process; when the analysis result is a severe abnormality, stopping the charging process and issuing a warning message; wherein the working parameters include at least current, voltage, and charging frequency; Monitor and analyze the temperature data when the working state is the charging state in real time. When the analysis result is a slight abnormality, determine whether the slight abnormality is specifically the first slight abnormality or the second slight abnormality; if the slight abnormality is specifically the first slight abnormality, and the abnormal state of the first slight abnormality lasts for a second preset time, reduce the charging current in the charging state; if the slight abnormality is specifically the second slight abnormality, and the corresponding abnormal state of the second slight abnormality lasts for a third preset time, suspend charging, and resume charging when the analysis result meets the second preset recovery condition.

[0034] In implementation, the identification control system will monitor and analyze the working parameters of current, voltage, and charging frequency respectively. The corresponding first preset duration will be different according to the working parameters, and the corresponding first preset recovery condition will also be different according to the working parameters. The specific monitoring and analysis process is as follows: 1. In the charging process corresponding to the charging state, the identification control system is used to monitor the current data value of the charging current in real time, and analyze whether the current data value reaches the threshold value C1 and lasts for Tc1. If so, the identification control system determines that the analysis result is a slight abnormality and the abnormal state of the slight abnormality lasts for Tc1 (i.e., the first preset duration), and then suspends the charging process. When the suspension duration reaches the predetermined duration, it is considered that the first preset recovery condition is met, and the charging process is resumed at this time. After the charging process is resumed, the current data value is monitored and analyzed in real time. When the current data value reaches the threshold value C2, the identification control system determines that the analysis result is a severe abnormality. At this time, the identification control system stops the charging process and issues a fault alarm message to inform the user, and does not resume the charging process.

[0035] 2. The identification control system is also used to monitor the voltage data value of the charging voltage in real time, and analyze whether the voltage data value exceeds Vh1 and lasts for Tv1. If so, the identification control system determines that the analysis result is a slight abnormality and the abnormal state of the slight abnormality lasts for Tv1 (i.e., the first preset time), and then suspends the charging process. After the suspension, the identification control system still keeps monitoring the voltage data value, and when the voltage data value is lower than Vh2 and lasts for Tv2, it is considered that the first preset recovery condition is met, and the charging process is resumed at this time, and the voltage data value is monitored and analyzed in real time after the charging process is resumed.

[0036] In addition, when the voltage data value is lower than VL1 and lasts for Tv1, the recognition control system determines that the analysis result is a slight abnormality and the abnormal state of the slight abnormality lasts for Tv1 (i.e., the first preset time), and the charging process is suspended at this time. After the suspension, the recognition control system still keeps monitoring the voltage data value, and when the voltage data value is higher than VL2 and lasts for Tv2, it is considered that the first preset recovery condition is met, and the charging process is resumed at this time, and the voltage data value is monitored and analyzed in real time after the charging process is resumed.

[0037] 3. The identification control system is also used to monitor the power frequency in real time and analyze whether the power frequency data value exceeds Fh1 and lasts for Tf1. If so, the identification control system determines that the analysis result is a slight abnormality and the abnormal state of the slight abnormality lasts for Tf1 (i.e., the first preset time), and then the charging process is suspended. After the suspension, the identification control system still maintains the monitoring of the power frequency data value, and when the power frequency data value is lower than Fh2 and lasts for Tf2, it is considered that the first preset recovery condition is met, and the charging process is resumed at this time, and the power frequency data value is monitored and analyzed in real time after the charging process is resumed.

[0038] In addition, when the power frequency data value is lower than FL1 and lasts for Tf1 time, the recognition control system determines that the analysis result is a slight abnormality and the abnormal state of the slight abnormality lasts for Tf1 time (i.e., the first preset time), and the charging process is suspended at this time. After the suspension, the recognition control system still keeps monitoring the power frequency data value, and when the voltage data value is higher than FL2 and lasts for Tf2 time, it is considered that the first preset recovery condition is met, and the charging process is resumed at this time, and the power frequency data value is monitored and analyzed in real time after the charging process is resumed.

[0039] 4. The identification control system is also used to monitor the temperature data value of the end of the bidirectional charging and discharging gun in real time. When the temperature data value reaches the first threshold value Tp1 and lasts for Tt1 time, the identification control system determines that the analysis result is a slight abnormality and the slight abnormality is specifically the first slight abnormality, and the abnormal state of the first slight abnormality lasts for Tt1 time (i.e., the second preset time). At this time, the charging current data value is reduced. The reduction rule can be: according to the average difference of the current temperature data value exceeding the first threshold value TP1, and the preset correspondence table between the average difference and the current drop value, determine the current drop value corresponding to the current average difference, and then specify the current data value for the charging current data value drop value, and the corresponding specified power data value = current charging current data value - current drop value.

[0040] In addition, when the temperature data value reaches the second threshold value Tp2 and lasts for Tt2, the recognition control system determines that the analysis result is a slight abnormality, and the slight abnormality is specifically the second slight abnormality, and the abnormal state of the second slight abnormality lasts for Tt2 (i.e., the third preset time), and the charging process is stopped at this time. After the pause, the recognition control system still keeps monitoring the temperature data value, and when the temperature data value drops to Tp3 and lasts for Tt3, it is considered that the second preset recovery condition is met, and the charging process is resumed at this time, and the temperature data value is monitored and analyzed in real time after the charging process is resumed. 5. The identification control system is also used to monitor the grounding condition of the mains plug and whether the live and neutral wires are wrongly wired after the charging and discharging gun is connected to the mains socket and powered on. If so, the identification control system outputs an alarm and displays a warning message that charging is not allowed. This is to achieve ungrounded and live and neutral wire phase mismatch protection control.

[0041] 6. The identification control system is also used to apply leakage excitation between the live and neutral wires after the mains plug is powered on or after the discharge process begins, and monitor whether the preset leakage protection circuit works normally, and complete the leakage self-test of power on. It is also used to perform the aforementioned leakage self-test before each charging process. The identification control system is used to perform real-time detection of the leakage (current vector) between the live and neutral wires during the charging process and the discharging process. If the leakage reaches the preset threshold, the current working process is stopped and a warning message is issued for users and maintenance personnel to know, so as to realize leakage protection control.

[0042] 7. The identification control system is also used to perform adhesion detection on the relays used for switching and executing the charging and discharging processes in the preset charging and discharging circuit before each execution of the working process. If adhesion occurs, the corresponding working process will be abandoned and a warning message will be issued.

[0043] 8. The identification control system is also used to perform short-circuit detection on the output end of the bidirectional charging gun before each charging process. If the LN at the gun end is in a short-circuit state, the charging process will not be entered and a warning message will be issued; similarly, before each discharge process, the identification control system is also used to perform short-circuit detection on the triangle plug end. If the LN at the triangle plug end is in a short-circuit state, the discharge process will not be entered and a warning message will be issued.

[0044] Optionally, the identification control method further includes the following steps: Whenever an operating parameter with a slight abnormality or a severe abnormality is analyzed, the operating data values ​​and data states corresponding to all operating parameters are determined; wherein the data state includes an abnormal state corresponding to an analysis result of a slight abnormality or a severe abnormality, and a normal state corresponding to an analysis result of neither a slight abnormality nor a severe abnormality; Based on the working data value and the data status, an association relationship group is generated; wherein the association relationship group includes the main working parameters and the slave working parameters, and the associated data value ranges corresponding to the main working parameters and the slave working parameters, and satisfies: when the data status of the main working parameter becomes an abnormal state, and the corresponding working data value falls into the corresponding associated data value, the data status of the slave working parameter in the corresponding association relationship group also becomes an abnormal state.

[0045] The step of “monitoring and analyzing the working parameters corresponding to the current working process in real time, and controlling the start and stop of the current working process based on the analysis results” in S103 also includes the following sub-steps: Real-time monitoring and analysis of the working data values ​​corresponding to the working parameters when the working state is the charging state, when the analysis result shows that the first working parameter is severely abnormal, the monitoring and analysis operations of the working parameters corresponding to the charging state are stopped while the charging process is stopped; When a second working parameter with a slight abnormality in the analysis result appears, determine whether there is an association relationship group with the second working parameter as the main working parameter and the working data corresponding to the current second working parameter falling within the corresponding associated data value range. If so, based on the corresponding association attribute in the association relationship group, according to the landing point of the working data corresponding to the second working parameter in the corresponding associated data range, determine the association interval duration and association time of each slave working parameter in the association relationship group, and when the association time is reached, and the corresponding slave working parameter is not in the continuous abnormality determination stage, and does not meet the preset recovery condition, suspend the monitoring of the corresponding slave working parameter until the data state corresponding to the second working parameter becomes normal; wherein the continuous abnormality determination stage refers to the determination stage starting from the analysis result corresponding to the working parameter being determined as a slight abnormality, and determining whether the abnormal state of the slight abnormality continues for a preset time, and the preset time includes a first preset time, a second preset time and a third preset time; the preset recovery condition includes a first preset recovery condition and a second preset recovery condition; wherein, the association time = current time + association interval duration.

[0046] In implementation, the identification control method can retrieve the analysis results of mild anomalies and severe anomalies generated within a specified period (hereinafter referred to as abnormal results) every specified period, and retrieve the working data values ​​and data states of all working parameters within a specified time t each time an abnormal result occurs and thereafter. The data state includes an abnormal state and a normal state. The abnormal state refers to the data state corresponding to the working data value whose analysis result is an abnormal result. On the contrary, the normal state is the data state corresponding to the working data value whose analysis result is a non-abnormal result.

[0047] Exemplarily, for working parameter A, working parameter B and working parameter C, when at time T, the analysis result corresponding to working parameter A is analyzed to be slightly abnormal, then the data state of working parameter A is an abnormal state, and at this time, the analysis result of working parameter B is also slightly abnormal, and after a time period of t' (where t'<t), the analysis result of working parameter C also shows a slight abnormality, then at time T, the data state of working parameter B is an abnormal state, the data state of working parameter C is a normal state, and at time T+t', the data state of working parameter C becomes an abnormal state.

[0048] According to the retrieved working data value and data status, the association relationship group is determined. The basis for determining the association relationship group is: whenever an abnormal result occurs, determine whether other abnormal results appear successively within the specified time length t. If so, determine the association relationship group, and the working parameter corresponding to the first abnormal result in the specified time length is used as the main working parameter in the association relationship group, and the working parameters corresponding to other abnormal results are determined as slave working parameters, and establish the association attribute between each slave working parameter and the main working parameter, and use the time difference between the time when the abnormal result of the slave working parameter appears and the time when the abnormal result of the main working parameter appears as the association interval duration contained in the corresponding working attribute; finally, the association relationship group is formed.

[0049] In addition, after each determination of the completion of the association relationship group, the identification control system will determine whether there is an association relationship group that matches the current association relationship group in the historical period, and the matching determination method is: the main working parameters are the same and the slave working parameters are also the same. If there is, based on the working data value of the main working parameter in the current association relationship group and the working data value of the main working parameter of the matching association relationship group in the historical period, an association data range is generated so that the generated association data range contains the aforementioned working data value. And according to the position (i.e., the landing point) of the working data value of the current main working parameter in the association data range, the association data range is evenly divided into several sub-ranges, and a corresponding relationship table between the sub-range and the association interval duration of each slave working parameter is established. All association relationship groups and corresponding corresponding relationship tables are stored.

[0050] Accordingly, each time the working process is subsequently executed, the analysis result of each working parameter will be monitored and analyzed in real time to see if it is an abnormal result. If a working parameter (i.e., the first working parameter) has a severely abnormal analysis result, the working process will be stopped and the monitoring and analysis of all working parameters will be stopped at the same time.

[0051] If an operating parameter (i.e., the second operating parameter) appears as a slightly abnormal working parameter in the analysis result, the identification control system determines whether there is an association relationship group with the second operating parameter as the main working parameter and the working data of the current second operating parameter falls within the corresponding associated value; if so, based on the corresponding relationship table corresponding to the association relationship group, the sub-range into which the working data of the current second operating parameter falls is searched, and then the association interval duration of each slave working parameter corresponding to the sub-range is obtained, thereby calculating the association moment of each slave working parameter, and the association moment = current moment + association interval duration.

[0052] And whenever the current moment reaches the associated moment of any slave working parameter, it is determined whether the corresponding slave working parameter is in the continuous abnormality determination stage and whether the preset recovery condition is met. Only when the slave working parameter is neither in the continuous abnormality determination stage nor meets the preset recovery condition, the monitoring and analysis operation of the corresponding slave working parameter is suspended until the data state of the corresponding master working parameter becomes normal. It needs to be explained here that the continuous abnormality determination stage refers to the stage where the analysis result corresponding to the working parameter is determined to be a mild abnormality and whether the abnormal state of the mild abnormality continues for a preset time. The preset time length includes a first preset time length, a second preset time length and a third preset time length; the preset recovery condition includes a first preset recovery condition and a second preset recovery condition.

[0053] Optionally, the working process corresponding to the working state matching the current resistance value in S102 includes the following steps: Execute the work process corresponding to the working state matching the current resistance value, generate work tasks, and predict and output the completion time of the work tasks based on the pre-built prediction model.

[0054] The identification control method also includes the following steps: When the work process corresponding to the work task stops, the completion time is replaced by the stop time and the completion time of the output work task is updated; When the work process corresponding to the work task is suspended, the suspension and recovery duration is predicted by the prediction model according to the work data values ​​of all work parameters at the time of suspension, and the completion time of the output work task is updated based on the suspension and recovery duration; wherein the suspension and recovery duration refers to the time from the time of suspension to the time when the preset recovery condition is met; the preset recovery condition includes the first preset recovery condition and the second preset recovery condition; Whenever the work process corresponding to the work task is suspended, the work data at the time of suspension, as well as the work data after suspension when the preset recovery conditions are actually met, are recorded, the recorded work data are integrated into a training set, and the training set is used to optimize the prediction model.

[0055] In implementation, each time a work instruction is received, the recognition control system generates a work task, and before starting the work task (i.e. before executing the work process), based on the current remaining power of the tram and the corresponding work process to be executed, the pre-built prediction model is used to predict the completion time of the work task. Among them, the work instruction contains the work requirements corresponding to the work process, as well as the work results when the work task is finally completed, and the work results are specifically reflected in the final tram power value.

[0056] The prediction model is used to obtain the amount of electricity required to execute the work process based on the current remaining power of the tram and the work results in the work instructions, and then determine the duration of the work process based on the preset charging and discharging speed, so that the final completion time = current time + duration required for the work process.

[0057] In addition, when executing a work process, it is easy to pause due to the analysis result of abnormal results. Therefore, whenever the work process is suspended, the identification control system is used to predict the pause and recovery time through the prediction model, and update the completion time = completion time before update + pause and recovery time. The method for predicting the pause and recovery time by the prediction model can be: based on the corresponding relationship between the preset relevant work data value range and the recovery time, determine the work data value of the work parameter that is suspended due to the analysis result of abnormal results at the time of suspension, find the work data value range in which the work data value is located, and the corresponding recovery time, and use the corresponding recovery time as the pause and recovery time.

[0058] In addition, the identification control system is also used to determine the actual pause and resume duration each time the system is paused and resumed, and to readjust the working data value range based on the working parameters during the pause and the actual resume duration, so that the working data value range corresponds to the actual resume duration, thereby optimizing the prediction model.

[0059] The present application also discloses a charge and discharge state recognition and control system for an AC charging device. Figure 2 ,include: The resistance value monitoring module 1 is used to receive the work instruction and detect the resistance value between the CC line and the PE line; wherein, The working state matching module 2 is used to determine whether there is a working state matching the current resistance value based on the resistance value, and if so, execute the working process corresponding to the working state matching the current resistance value; wherein the working state at least includes a charging state and a discharging state, the working process corresponding to the charging state is the charging process, and the working process corresponding to the discharging state is the discharging process; The working process control module 3 is used to monitor and analyze the working parameters corresponding to the current working process in real time during the execution of the working process, and control the start and stop of the current working process based on the analysis results; wherein the working parameters include at least current and voltage.

[0060] The working process control module 3 is also used to monitor and analyze the working data values ​​corresponding to the working parameters when the working state is the charging state in real time. When the analysis result is a slight abnormality and the abnormal state of the slight abnormality lasts for a first preset time, the charging process is suspended, and when the analysis result meets the first preset recovery condition, the charging process is resumed; when the analysis result is a severe abnormality, the charging process is stopped and a warning message is issued; wherein the working parameters at least include current, voltage, and charging frequency; It is also used to monitor and analyze temperature data in real time when the working state is the charging state. When the analysis result is a slight abnormality, it is determined whether the slight abnormality is specifically the first slight abnormality or the second slight abnormality; if the slight abnormality is specifically the first slight abnormality, and the abnormal state of the first slight abnormality lasts for a second preset time, the charging current in the charging state is reduced; if the slight abnormality is specifically the second slight abnormality, and the corresponding abnormal state of the second slight abnormality lasts for a third preset time, charging is suspended, and when the analysis result meets the second preset recovery condition, charging is resumed.

[0061] Optionally, it also includes an association relationship determination module, which is used to determine the working data values ​​and data states corresponding to all working parameters whenever an operating parameter with a slight abnormality or a severe abnormality in the analysis result appears; wherein the data state includes an abnormal state corresponding to a slight abnormality or a severe abnormality in the analysis result, and a normal state corresponding to a non-slight abnormality and a severe abnormality in the analysis result; It is also used to generate an association relationship group based on the working data value and the data status; wherein the association relationship group includes the main working parameters and the slave working parameters, and the associated data value ranges corresponding to the main working parameters and the slave working parameters, and satisfies: when the data state of the main working parameter becomes an abnormal state, and the corresponding working data value falls into the corresponding associated data value, the data state of the slave working parameter in the corresponding association relationship group also becomes an abnormal state.

[0062] The working process control module 3 is also used to monitor and analyze in real time the working data values ​​corresponding to the working parameters when the working state is the charging state. When the analysis result of the first working parameter is a severe abnormality, the monitoring and analysis operations of the working parameters corresponding to the charging state are stopped while the charging process is stopped. It is also used to determine whether there is an association relationship group with the second working parameter as the main working parameter and the working data corresponding to the current second working parameter falling into the corresponding association data value range when the analysis result of the second working parameter is a slight abnormality. If so, the monitoring of the slave working parameters in the corresponding association relationship group is suspended until the data state corresponding to the second working parameter becomes normal.

[0063] Optionally, the work process control module 3 is also used to determine the association interval duration and association time of each slave working parameter in the association relationship group, based on the corresponding association attributes in the association relationship group and according to the landing point of the working data corresponding to the second working parameter in the corresponding association data range, and suspend the monitoring of the corresponding slave working parameter when the association time is reached until the data state corresponding to the second working parameter becomes normal; wherein, the association time = current time + association interval duration.

[0064] Optionally, the work process control module 3 is also used to suspend the monitoring of the corresponding slave working parameter when the associated moment is reached and the corresponding slave working parameter is not in the continuous abnormality determination stage and does not meet the preset recovery conditions, until the data state corresponding to the second working parameter becomes normal; wherein, the continuous abnormality determination stage refers to the stage where the analysis result corresponding to the working parameter is determined to be a mild abnormality and it is determined whether the abnormal state of the mild abnormality continues for a preset time period, and the preset time period includes a first preset time period, a second preset time period and a third preset time period; the preset recovery conditions include a first preset recovery condition and a second preset recovery condition.

[0065] Optionally, the working state matching module 2 is further used to execute the working process corresponding to the working state matched with the current resistance value, generate a working task, and predict and output the completion time of the working task based on a pre-built prediction model; It also includes a charge and discharge completion prediction module, which is used to replace the completion time with the stop time and update the completion time of the output work task when the work process corresponding to the work task stops; it is also used to predict the pause recovery time through a prediction model according to the working data values ​​of all working parameters at the time of suspension when the work process corresponding to the work task is suspended, and update the completion time of the output work task based on the pause recovery time; wherein the pause recovery time refers to the time from the time of suspension to the time when the preset recovery conditions are met; the preset recovery conditions include a first preset recovery condition and a second preset recovery condition.

[0066] Optionally, the charge and discharge completion prediction module is also used to record the work data at the time of suspension whenever the work process corresponding to the work task is suspended, as well as the work data after the suspension when the preset recovery conditions are actually met, integrate the recorded work data into a training set, and use the training set to optimize the prediction model.

[0067] An embodiment of the present application also discloses a charge and discharge state identification control device for an AC charging device. The charge and discharge state identification control device for an AC charging device includes a memory and a processor. The memory stores a computer program that can be loaded by the processor and executes the charge and discharge state identification control method for the AC charging device as described above.

[0068] An embodiment of the present application also discloses a computer-readable storage medium, which stores a computer program that can be loaded by a processor and executes the charge and discharge state identification and control method of the AC charging device as described above. The computer-readable storage medium includes, for example: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0069] It should be noted that, in this document, relational terms such as first and second, etc. are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations.

[0070] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit the protection scope of the application. Obviously, the described embodiments are only some embodiments of the present application, rather than all embodiments. Based on these embodiments, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

Claims

1. A method for identifying and controlling the charging and discharging status of an AC charging device, characterized in that: include: Receive work instructions and detect the resistance value between CC line and PE line; Determine whether there is a working state matching the current resistance value based on the resistance value, and if so, execute the working process corresponding to the working state matching the current resistance value; wherein the working state includes at least a charging state and a discharging state, the working process corresponding to the charging state is a charging process, and the working process corresponding to the discharging state is a discharging process; During the execution of the working process, the working parameters corresponding to the current working process are monitored and analyzed in real time, and the start and stop of the current working process are controlled based on the analysis results; wherein the working parameters include at least current and voltage.

2. The charge and discharge state identification and control method of the AC charging device according to claim 1, characterized in that: The real-time monitoring and analysis of the working parameters corresponding to the current working process, and the control of the start and stop of the current working process based on the analysis result, include: Real-time monitoring and analysis of the working data values ​​corresponding to the working parameters when the working state is the charging state; when the analysis result is a slight abnormality and the abnormal state of the slight abnormality lasts for a first preset time, the charging process is suspended, and when the analysis result meets the first preset recovery condition, the charging process is resumed; when the analysis result is a severe abnormality, the charging process is stopped and a warning message is issued; wherein the working parameters at least include current, voltage, and charging frequency; Monitor and analyze the temperature data when the working state is the charging state in real time. When the analysis result is a slight abnormality, determine whether the slight abnormality is specifically the first slight abnormality or the second slight abnormality; if the slight abnormality is specifically the first slight abnormality, and the abnormal state of the first slight abnormality lasts for a second preset time, reduce the charging current in the charging state; if the slight abnormality is specifically the second slight abnormality, and the corresponding abnormal state of the second slight abnormality lasts for a third preset time, suspend charging, and resume charging when the analysis result meets the second preset recovery condition.

3. The charge and discharge state identification and control method of the AC charging device according to claim 2, characterized in that: The method further comprises: Whenever an operating parameter with a slight abnormality or a severe abnormality is analyzed, the operating data values ​​and data states corresponding to all the operating parameters are determined; wherein the data states include abnormal states corresponding to the slight abnormality or the severe abnormality of the analysis result, and normal states corresponding to the analysis result of neither slight abnormality nor severe abnormality; Based on the working data value and the data state, an association relationship group is generated; wherein the association relationship group includes a main working parameter and a slave working parameter, and an associated data value range corresponding to the main working parameter and the slave working parameter, and satisfies: when the data state of the main working parameter changes to an abnormal state, and the corresponding working data value falls into the corresponding associated data value, the data state of the slave working parameter in the associated relationship group also changes to an abnormal state; The real-time monitoring and analysis of the working parameters corresponding to the current working process, and the control of the start and stop of the current working process based on the analysis result, include: real-time monitoring and analysis of the working data values ​​corresponding to the working parameters when the working state is the charging state, and when the analysis result shows that the first working parameter is severely abnormal, the monitoring and analysis operation of the working parameters corresponding to the charging state is stopped while the charging process is stopped; When a second working parameter with a slightly abnormal analysis result appears, determine whether there is an association relationship group with the second working parameter as the main working parameter and the working data corresponding to the current second working parameter falls within the corresponding association data value range; if so, suspend monitoring of the slave working parameters in the corresponding association relationship group until the data status corresponding to the second working parameter becomes normal.

4. The charge and discharge state identification and control method of the AC charging device according to claim 3, characterized in that: Each slave working parameter in each of the association relationship groups has an association attribute with the master working parameter in the corresponding association relationship group, and the association attribute includes an association interval duration; If so, suspending the monitoring of the slave operating parameter in the corresponding association relationship group until the data state corresponding to the second operating parameter becomes a normal state, including: If it exists, based on the corresponding association attributes in the association relationship group, and according to the landing point of the working data corresponding to the second working parameter in the corresponding association data range, determine the association interval duration and association time of each slave working parameter in the association relationship group, and when the association time is reached, suspend monitoring of the corresponding slave working parameter until the data state corresponding to the second working parameter becomes normal; wherein, the association time = current time + association interval duration.

5. The charge and discharge state identification and control method of the AC charging device according to claim 4, characterized in that: When the association time is reached, suspending the monitoring of the corresponding slave operating parameter until the data state corresponding to the second operating parameter becomes a normal state, includes: When the association moment is reached and the corresponding slave working parameter is not in the continuous abnormality determination stage and does not meet the preset recovery condition, the monitoring of the corresponding slave working parameter is suspended until the data state corresponding to the second working parameter becomes normal; wherein, the continuous abnormality determination stage refers to the stage where the analysis result corresponding to the working parameter is determined to be a mild abnormality and whether the abnormal state of the mild abnormality continues for a preset time period, and the preset time period includes a first preset time period, a second preset time period and a third preset time period; the preset recovery condition includes a first preset recovery condition and a second preset recovery condition.

6. The charge and discharge state identification and control method of the AC charging device according to claim 2, characterized in that: The working process corresponding to the working state matching the current resistance value is performed, including: Execute the work process corresponding to the work state matching the current resistance value, generate a work task, and predict and output the completion time of the work task based on a pre-built prediction model; The method further comprises: When the work process corresponding to the work task stops, the completion time is replaced by the stop time and the completion time of the work task is updated and output; When the work process corresponding to the work task is suspended, the pause and resume duration is predicted by the prediction model according to the work data values ​​of all work parameters at the time of suspension, and the completion time of the work task is updated and output based on the pause and resume duration; wherein the pause and resume duration refers to the time from the time of suspension to the time when the preset recovery condition is met; the preset recovery condition includes a first preset recovery condition and a second preset recovery condition.

7. The charge and discharge state identification and control method of the AC charging device according to claim 6, characterized in that: The method further comprises: Whenever the work process corresponding to the work task is suspended, the work data at the time of suspension and the work data after suspension when the preset recovery conditions are actually met are recorded, the recorded work data are integrated into a training set, and the prediction model is optimized using the training set.

8. A charge and discharge state recognition and control system for an AC charging device, characterized in that: include, The resistance value monitoring module (1) is used to receive a working instruction and detect the resistance value between the CC line and the PE line; A working state matching module (2) is used to determine whether there is a working state matching the current resistance value based on the resistance value, and if so, execute the working process corresponding to the working state matching the current resistance value; wherein the working state at least includes a charging state and a discharging state, the working process corresponding to the charging state is a charging process, and the working process corresponding to the discharging state is a discharging process; The working process control module (3) is used to monitor and analyze the working parameters corresponding to the current working process in real time during the execution of the working process, and control the start and stop of the current working process based on the analysis results; wherein the working parameters include at least current and voltage.

9. A charge and discharge state recognition and control device for an AC charging device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute any one of the methods according to claims 1 to 7.

10. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute any one of the methods as claimed in claims 1 to 7.

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