Power van control method and device, electronic equipment and storage medium

Abstract

The invention relates to the technical field of power van control, in particular to a power van control method and device, electronic equipment and a storage medium. The charging state signals are comprehensively collected and analyzed, so that the independent state between the charging guns is broken through, and the charging guns are not limited by the situation that the charging guns belong to independent charging piles and are lack of universality. An electric energy interaction scene is determined based on the signals, monitoring indexes can be specifically determined and monitored in real time, and accurate index data can be obtained. The index condition is mastered by analyzing the index data, scheduling is not carried out according to the index condition, and unified management and deployment of the charging guns are realized. Charging resources can be reasonably distributed according to factors such as actual charging requirements and equipment states, and idle or overuse of the resources is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of power vehicle control, and specifically relates to a control method, device, electronic device and storage medium for a power vehicle. Background Art

[0002] With the rapid development of the new energy industry, new energy equipment such as electric heavy trucks and electric construction machinery has been widely popularized, and the demand for mobile energy replenishment has shown an explosive growth. As a typical device for mobile energy storage and replenishment, the power vehicle has been widely used in the market due to its flexible and convenient characteristics. The power vehicle can supply energy to external devices through AC / DC output methods, and can also achieve self-energy replenishment through AC / DC input methods.

[0003] However, the current charging equipment for power vehicles has obvious defects. On the one hand, each charging gun belongs to a separate charging pile, lacking universality among them, which limits the usage range and flexibility of the charging gun, and increases the equipment configuration cost and management difficulty. On the other hand, each charging gun cannot be uniformly scheduled and used, and it is difficult to efficiently allocate according to factors such as actual charging requirements and equipment status, resulting in unreasonable charging resource allocation and low energy replenishment efficiency. Summary of the Invention

[0004] In view of this, embodiments of the present invention provide a control method, device, electronic device and storage medium for a power vehicle to solve the technical problems that the current charging equipment for power vehicles has a lack of universality of charging guns and cannot be uniformly scheduled and used, resulting in unreasonable resource allocation and low energy replenishment efficiency.

[0005] In a first aspect, embodiments of the present invention provide a control method for a power vehicle, the method comprising:

[0006] Obtain the charging status signals generated by different charging devices in the power vehicle during the charging and discharging process;

[0007] Based on the charging status signals of the different charging devices, determine the current power interaction scenario hit by the power vehicle;

[0008] Obtain the monitoring indicators corresponding to the power interaction scenario, and monitor the power vehicle in real time to obtain the indicator data corresponding to the monitoring indicators;

[0009] Analyze the indicator data to obtain the indicator situation of the monitoring indicators, and schedule the charging devices of the power vehicle according to the indicator situation.

[0010] Further, the determining the current power interaction scenario hit by the power vehicle based on the charging status signals of different charging devices includes:

[0011] If the charging status signals of the different charging devices include the connection signal of the charging gun and the temperature signal of the charging line, determine that the electric energy interaction scenario is a replenishment energy scenario;

[0012] If the charging status signals of the different charging devices include the connection signal of the charging gun, the temperature signal of the charging line, and the control feedback signal of the electronic lock, determine that the electric energy interaction scenario is a charging scenario.

[0013] Further, the real-time monitoring of the power vehicle to obtain the index data corresponding to the monitoring indexes includes:

[0014] If the electric energy interaction scenario is a replenishment energy scenario, perform real-time temperature monitoring on the charging line of the power vehicle to obtain temperature data;

[0015] If the electric energy interaction scenario is a charging scenario, perform real-time monitoring on the charging line and the electronic lock status of the power vehicle to obtain temperature data and electronic lock status data.

[0016] Further, when the electric energy interaction scenario is a replenishment energy scenario, the scheduling of the charging device of the power vehicle according to the index situation includes:

[0017] Statistically analyze the temperature change trend based on the temperature data of the charging line;

[0018] If the change trend determines that the temperature of the charging line is rising, compare the temperature data with a preset safety threshold;

[0019] If the temperature data is less than the preset safety threshold and the difference from the preset safety threshold is less than a preset threshold, reduce the charging power of the charging seat currently connected to the power vehicle;

[0020] Predict the predicted change trend of the temperature of the charging line in the next time period based on the reduced charging power and the current environmental data;

[0021] If the predicted change trend is a continuous increase, obtain the operating parameters of the standby charging seat and the current battery state parameters of the power vehicle, and evaluate the compatibility between the standby charging seat and the power vehicle based on the operating parameters and the battery state parameters;

[0022] Take the standby charging seat with the highest compatibility as the target charging seat, and schedule the target charging seat to replenish energy for the power vehicle.

[0023] Further, the evaluation of the compatibility between the standby charging seat and the power vehicle based on the operating parameters and the battery state parameters includes:

[0024] Calculate the health score corresponding to the standby charging stand using the operating parameters;

[0025] Analyze the matching score between the operating parameters and the charging requirements of the power vehicle;

[0026] Obtain the first weight corresponding to the health score and the second weight corresponding to the matching score;

[0027] Calculate the adaptability using the health score, the first weight, the matching score, and the second weight.

[0028] Further, if the electric energy interaction scenario is a charging scenario, scheduling the charging equipment of the power vehicle according to the index situation includes:

[0029] Compare the temperature data of the charging line with a preset temperature range, and analyze the electronic lock status data to determine whether the electronic lock is abnormal;

[0030] If the temperature data does not fall within the preset temperature range, and / or the electronic lock is abnormal, stop the charging operation, control the electronic lock to unlock, and detect the fault type of the charging gun;

[0031] Execute corresponding protection measures for the power vehicle according to the fault type, and schedule based on the standby charging gun in the power vehicle.

[0032] Further, the scheduling based on the standby charging gun in the power vehicle includes:

[0033] Obtain the charging situation corresponding to the external vehicle currently connected to the faulty charging gun;

[0034] Query the load data and the estimated idle time of the standby charging gun in the power vehicle;

[0035] Divide the standby charging guns according to the load data and the estimated idle time to obtain groups, where each group corresponds to a division type, and each group includes at least one standby charging gun arranged in descending order of priority, and the priority is determined according to the index corresponding to the division type;

[0036] Match the charging situation with each division type to obtain the target division type hit by the charging situation, and use the group corresponding to the target division type as the target group;

[0037] Schedule the standby charging gun with the highest priority in the target group to charge the external vehicle.

[0038] In a second aspect, an embodiment of the present invention provides a control device for a power vehicle, and the device includes:

[0039] An acquisition module, configured to acquire charging status signals generated by different charging devices in a power vehicle during the charging and discharging processes;

[0040] A processing module, configured to determine the current power interaction scenario hit by the power vehicle based on the charging status signals of different charging devices;

[0041] A monitoring module, configured to acquire monitoring indicators corresponding to the power interaction scenario, and monitor the power vehicle in real time to obtain indicator data corresponding to the monitoring indicators;

[0042] A scheduling module, configured to analyze the indicator data to obtain the indicator situation of the monitoring indicators, and schedule the charging devices of the power vehicle according to the indicator situation.

[0043] In a third aspect, an embodiment of the present invention provides a computer device, including: a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to execute the method according to the first aspect or any corresponding implementation manner thereof.

[0044] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which computer instructions are stored. The computer instructions are used to cause a computer to execute the method according to the first aspect or any corresponding implementation manner thereof.

[0045] Through the comprehensive acquisition and analysis of the charging status signals, the present application breaks the independent state between the charging guns, and is no longer restricted by the lack of generality due to their belonging to separate charging piles. By determining the power interaction scenario based on these signals, the monitoring indicators can be specifically defined and monitored in real time to obtain accurate indicator data. By analyzing the indicator data to master the indicator situation, and scheduling according to the indicator situation, the unified management and allocation of the charging guns are realized. It can reasonably allocate charging resources according to factors such as actual charging requirements and device status, and avoid resource idleness or overuse. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0047] Figure 1 is a schematic flowchart of a control method for a power vehicle according to some embodiments of the present invention;

[0048] Figure 2 It is a schematic diagram of signal acquisition of a power supply vehicle according to some embodiments of the present invention;

[0049] Figure 3 It is a schematic diagram of charging device control according to some embodiments of the present invention;

[0050] Figure 4 It is a structural block diagram of a control device of a power supply vehicle according to an embodiment of the present invention;

[0051] Figure 5 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. Specific embodiments

[0052] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0053] According to an embodiment of the present invention, there is provided a control method, device, electronic device, and storage medium for a power supply vehicle. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer such as a set of computer-executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0054] In this embodiment, a control method for a power supply vehicle is provided. Figure 1 It is a flowchart of a control method for a power supply vehicle according to an embodiment of the present invention, as Figure 1 shown, and this process includes the following steps:

[0055] Step S101, obtain the charging status signals generated by different charging devices in the power supply vehicle during the charging and discharging process.

[0056] In the embodiments of the present application, Figure 2 shows the charging architecture of the power supply vehicle. The controller is connected to multiple charging guns and charging bases, and each charging gun and base is respectively equipped with an IO module and a conversion module. One or more charging bases and charging guns can be flexibly set according to the actual needs of the power supply vehicle. Multiple charging guns can charge external vehicles simultaneously, and multiple charging bases can efficiently replenish energy for the power supply vehicle and switch as needed. A dedicated IO module is used to centrally collect and process signals such as gun connection, temperature, CAN communication, electronic lock status, locking and unlocking instructions, and switching switches of the DC charging base and charging gun, and can also centrally schedule and start according to the gun insertion situation.

[0057] During the charging and discharging operation of the power supply vehicle, various sensors and monitoring devices installed on different charging devices (such as charging guns, charging lines, electronic locks, etc.) are used to collect relevant signal data in real time. A dedicated signal acquisition module is used to obtain the connection signal generated when the charging gun is connected to or disconnected from an external device, so as to judge the working state of the charging gun; a temperature sensor is used to monitor the heat generation of the charging line during energy transmission, and obtain the temperature signal of the charging line to ensure the safe operation of the line; through the electronic lock control and feedback mechanism, the control feedback signal of the electronic lock is collected to clarify the locked and unlocked states of the electronic lock. These different types of signals are aggregated and integrated to obtain the charging status signals generated by different charging devices in the power supply vehicle during the charging and discharging process.

[0058] It should be noted that since the national standard DC charging and discharging interfaces both adopt the CAN communication protocol and the communication addresses of multiple charging and discharging interfaces are the same, it is impossible to connect all charging and discharging interfaces to the same communication port of the controller through the star topology scheme. Therefore, in this solution, each charging and discharging communication interface is connected to the EMS control system through a communication conversion module. Specifically, as Figure 3 shown, the EMS control panel is connected to the switch through the TCP / IP protocol, and the switch is then connected to multiple communication conversion modules with the same protocol. These communication conversion modules are respectively connected to the national standard charging gun or socket through the CAN bus to achieve data interaction. This architecture can realize the centralized management and monitoring of the national standard charging gun or socket. The status information of the charging gun or socket can be remotely obtained through the EMS control panel, which is convenient for centralized scheduling and fault troubleshooting, and ensures the stable and efficient operation of the charging system.

[0059] Step S102, based on the charging status signals of different charging devices, determine the current power interaction scenario hit by the power supply vehicle.

[0060] In the embodiment of the present application, determining the current power interaction scenario hit by the power supply vehicle based on the charging status signals of different charging devices includes:

[0061] ① If the charging status signals of different charging devices include the connection signal of the charging gun and the temperature signal of the charging line, then determine that the power interaction scenario is a replenishment scenario.

[0062] During the electric energy interaction process, when monitoring the status of different charging devices, if the obtained charging status signals only include the connection signal of the charging gun and the temperature signal of the charging line, it can be determined that the current is in the energy replenishment scenario. The connection signal of the charging gun indicates that the charging gun has been connected to the corresponding charging seat, which is the prerequisite for energy transmission. The temperature signal of the charging line is used to monitor the heat generation of the line during the energy transmission process. The combination of these two signals indicates that this scenario is mainly for replenishing energy to the energy storage device, with the focus on energy interaction between devices and line status monitoring, so it is determined as the energy replenishment scenario.

[0063] ② If the charging status signals of different charging devices include the connection signal of the charging gun, the temperature signal of the charging line, and the control feedback signal of the electronic lock, then determine that the electric energy interaction scenario is the charging scenario.

[0064] When the charging status signals of different charging devices include the connection signal of the charging gun, the temperature signal of the charging line, and the control feedback signal of the electronic lock, it can be recognized as the charging scenario. Among them, the connection signal of the charging gun represents that the charging gun has been successfully connected to the device to be charged (such as an electric vehicle, etc.), which is the basis for electric energy transmission; the temperature signal of the charging line still plays the role of monitoring the line heat generation and ensuring the safe and stable energy transmission. The control feedback signal of the electronic lock is of great significance. It indicates the locking and unlocking control status of the connection between the charging gun and the device to be charged during the charging process, which is an important link to ensure the safe and reliable charging process and prevent the charging gun from being accidentally pulled out during the charging process.

[0065] Step S103, obtain the monitoring indicators corresponding to the electric energy interaction scenario, and monitor the power vehicle in real time to obtain the indicator data corresponding to the monitoring indicators.

[0066] In the embodiment of the present application, monitoring the power vehicle in real time to obtain the indicator data corresponding to the monitoring indicators includes:

[0067] ① If the electric energy interaction scenario is the energy replenishment scenario, then monitor the temperature of the charging line of the power vehicle in real time to obtain the temperature data.

[0068] When the electric energy interaction is determined to be the energy replenishment scenario, the main focus is on the energy replenishment of the power vehicle. At this time, the charging line is the channel for energy transmission. By installing a temperature sensor on the charging line, continuously perceive the heat generation of the line in real time. The sensor converts the temperature information into an electrical signal or a digital signal and transmits it to the monitor for processing and analysis, and finally obtains the temperature data reflecting the real-time temperature of the line. This monitoring process can timely detect the abnormal increase in temperature of the line caused by reasons such as overload and poor contact, give early warnings of potential faults, and ensure the safe progress of the energy replenishment process.

[0069] ②If the power interaction scenario is a charging scenario, the charging line of the power vehicle and the status of the electronic lock are monitored in real time to obtain temperature data and electronic lock status data.

[0070] When the power interaction scenario is determined to be a charging scenario, not only the status of the charging line needs to be concerned, but the status of the electronic lock also becomes an important monitoring object. For the charging line, the temperature sensor is still relied on to capture the temperature change of the charging line in real time and obtain temperature data to ensure that the line will not cause safety problems due to overheating during the energy transmission process. For the electronic lock, through the sensors and feedback circuits in the electronic lock control, the locking and unlocking status information of the electronic lock is collected in real time. After these information are processed, electronic lock status data are formed. By integrating the temperature data and the electronic lock status data, the operation status of the equipment during the charging process can be comprehensively grasped, which can not only ensure the safety of the charging line, but also prevent the charging gun from being accidentally pulled out during charging and other situations.

[0071] Step S104, analyze the index data to obtain the index situation of the monitoring index, and schedule the charging equipment of the power vehicle according to the index situation.

[0072] In the embodiment of the present application, when the power interaction scenario is an energy replenishment scenario, scheduling the charging equipment of the power vehicle according to the index situation includes the following steps A1 - A6:

[0073] Step A1, statistically analyze the temperature change trend based on the temperature data of the charging line.

[0074] Specifically, continuously collect the temperature data of the charging line, and these data contain temperature values at different time points. Using data statistical analysis tools, such as time series analysis methods, arrange the collected temperature data in chronological order. By calculating the difference between the temperature data at adjacent time points, or using algorithms such as moving average and exponential smoothing, filter out the random fluctuation components in the data, so as to clearly present the change trend of the temperature of the charging line over time, such as a stable, rising or falling trend.

[0075] Step A2, if the change trend determines that the temperature of the charging line is rising, then compare the temperature data with the preset safety threshold.

[0076] Specifically, after determining that the temperature of the charging line shows an upward trend, extract the preset safety threshold from the pre - set parameter library. This threshold is a safety temperature limit determined based on factors such as the material, specification, and heat dissipation conditions of the line. Then, compare the currently collected temperature data with the preset safety threshold to judge whether the current temperature approaches or exceeds the safety range, so as to provide a decision - making basis for subsequent operations.

[0077] Step A3, if the temperature data is less than the preset safety threshold and the difference from the preset safety threshold is less than the preset threshold, then reduce the charging power of the charging station currently connected to the power vehicle.

[0078] Specifically, if the temperature data is less than the preset safety threshold, but the difference from the preset safety threshold is less than the preset threshold (this preset threshold is a small difference limit set artificially for early warning), it indicates that although the temperature is not outside the safe range, the upward trend needs attention. At this time, send a command to the charging station currently connected to the power vehicle, and according to the preset power adjustment rule, reduce the charging power of the charging station by a certain proportion or a fixed value, thereby reducing the current in the line and the heat generation power of the line.

[0079] Step A4, predict the predicted change trend of the temperature of the charging line in the next time period based on the reduced charging power and the current environmental data.

[0080] Specifically, reduce the charging power from 100 kW to 80 kW. At the same time, the environmental monitoring device feedbacks that the current environmental temperature is 30 °C, the relative humidity is 60%, the ventilation equipment is operating at medium wind speed, and the air flow rate is 2 m / s. Input the reduced charging power of 80 kW, as well as the data such as the environmental temperature of 30 °C, humidity of 60%, and air flow rate of 2 m / s into the trained prediction model. This model is constructed based on the heat transfer principle and machine learning algorithm, and through learning a large amount of past charging data, it can accurately simulate the temperature change. After model operation, it is predicted that within the next 30 minutes, the temperature will continue to rise from the current 60 °C at a rate of 0.2 °C per minute and reach 66 °C after 30 minutes. Thus, it can be judged in advance that the measure of reducing the charging power currently has not effectively curbed the upward trend of the temperature.

[0081] Step A5, if the predicted change trend is continuous upward, then obtain the operating parameters of the standby charging station and the current battery state parameters of the power vehicle, and evaluate the compatibility between the standby charging station and the power vehicle based on the operating parameters and the battery state parameters.

[0082] Specifically, evaluate the compatibility between the standby charging station and the power vehicle based on the operating parameters and the battery state parameters, including: calculating the health score corresponding to the standby charging station using the operating parameters; analyzing the matching score between the operating parameters and the charging requirements of the power vehicle; obtaining the first weight corresponding to the health score and the second weight corresponding to the matching score; calculating the compatibility using the health score, the first weight, the matching score, and the second weight.

[0083] It should be noted that, first of all, the operating parameters of the standby charging station are retrieved from the database, covering key information such as historical failure rate, current load rate, and output power stability. These parameters are substituted into the established health assessment model. For example, the higher the historical failure rate, the lower the score. Combining the influence degree of each parameter on the overall performance of the charging station, the health score of each standby charging station is calculated.

[0084] At the same time, the output characteristics of the standby charging station, such as operating parameters like output voltage, current range, and charging mode, are compared with the charging requirements of the power vehicle, including battery type, remaining power, and expected charging speed, etc., to formulate matching rules. For example, if the output parameters of the charging station exactly match the requirements of the power vehicle, a full score can be obtained, and for partial matches, scores are given proportionally, thereby calculating the matching score.

[0085] Next, from the pre-set weight configuration table, the first weight corresponding to the health score and the second weight corresponding to the matching score are obtained. These weight values are determined based on factors such as actual operating experience and safety requirements. Finally, using the weighted calculation method, that is, adaptability = health score × first weight + matching score × second weight, the adaptability of each standby charging station to the power vehicle is calculated, and then the charging station with the highest adaptability is selected to provide the optimal choice for the power vehicle to replenish energy.

[0086] Step A6, take the standby charging station with the highest adaptability as the target charging station, and dispatch the target charging station to replenish energy for the power vehicle.

[0087] In the embodiment of the present application, through real-time monitoring and analysis of the temperature of the charging line, the changing trend of the temperature can be grasped in a timely and accurate manner. When it is found that the temperature rises, it is compared with the preset safety threshold. If the temperature data is close to but does not exceed the preset safety threshold, the charging power is reduced in a timely manner, effectively avoiding potential safety hazards that may be caused by too high temperature and ensuring the safety of the charging process. At the same time, based on the reduced charging power and the current environmental data, the temperature is predicted, further enhancing the forward-looking control of the temperature change. When it is predicted that the temperature continues to rise, by obtaining the operating parameters of the standby charging station and the battery state parameters of the power vehicle, the adaptability of the standby charging station to the power vehicle is evaluated, and the target charging station with the highest adaptability can be selected for energy replenishment.

[0088] In the embodiment of the present application, if the electric energy interaction scenario is a charging scenario, the charging equipment of the power vehicle is scheduled according to the index situation, including steps B1 - B3:

[0089] Step B1, compare the temperature data of the charging line with the preset temperature range, and analyze the electronic lock status data to determine whether the electronic lock is abnormal.

[0090] Specifically, first, obtain the temperature data and the electronic lock status data in real time from the temperature sensor and the electronic lock status monitoring module. Compare the collected temperature data with the preset temperature range, which is set according to the material, specification, and safe operation standard of the circuit. At the same time, analyze the electronic lock status data and confirm whether the electronic lock is in the normal locked or unlocked state through the established logical judgment rules. If the temperature data of the charging circuit exceeds the preset temperature range, or the electronic lock status does not match the normal state, mark the electronic lock as abnormal; otherwise, determine that the electronic lock status is normal.

[0091] Step B2, if the temperature data does not fall within the preset temperature range, and / or the electronic lock is abnormal, stop the charging operation, control the electronic lock to unlock, and detect the fault type of the charging gun.

[0092] Specifically, when it is detected that the temperature data does not fall within the preset temperature range, or the electronic lock is in an abnormal state, immediately send an instruction to the charging control module to terminate the current charging operation, quickly cut off the charging circuit, and prevent more serious safety problems caused by abnormal situations. At the same time, send an unlocking instruction to the electronic lock control module to ensure that the charging gun can be separated from the power supply vehicle smoothly. After unlocking, start the charging gun fault detection program, and comprehensively detect the key components and functions such as the circuit connection, temperature monitoring, and control signal transmission of the charging gun by means of various sensors installed on the charging gun and the built-in diagnostic chip. Identify the fault type of the charging gun according to the detection results and record the fault information in the log.

[0093] Step B3, perform corresponding protection measures on the power supply vehicle according to the fault type, and schedule based on the spare charging gun in the power supply vehicle.

[0094] Specifically, according to the detected fault type of the charging gun, call the corresponding protection strategy. If the fault is a general electrical fault, such as a short circuit or open circuit in the line, the charge and discharge functions of the power supply vehicle battery will be restricted to prevent the fault from spreading to the battery. At the same time, send detailed fault information to the operation and maintenance personnel through the alarm device for timely repair. If the fault involves an abnormal increase in temperature, which may pose a fire risk, immediately activate the fire protection of the power supply vehicle, such as releasing fire extinguishing gas or starting a cooling device, to ensure the safety of the vehicle and the surrounding environment. In addition, the status information of the power supply vehicle will be uploaded to the remote monitoring platform so that the management personnel can understand the situation in real time and make further decisions and scheduling.

[0095] The method provided by the embodiments of the present application, at the fault handling level, automatically unlocks the electronic lock after detecting an abnormality, accurately locates the fault type of the charging gun, and then implements targeted protection measures for the power vehicle to prevent the expansion of the fault and minimize the damage to the power vehicle. The spare charging gun scheduling mechanism can quickly respond when the main charging gun fails, switch to the spare gun to continue charging, greatly shortening the charging interruption time, ensuring the continuity of the charging service, avoiding inconveniences to users caused by charging interruptions, maintaining the service reputation of the operator, and at the same time improving the utilization efficiency of the charging equipment and reducing the cost loss caused by equipment idleness.

[0096] Specifically, the scheduling based on the spare charging gun in the power vehicle includes: obtaining the charging situation corresponding to the external vehicle currently connected to the faulty charging gun; querying the load data and the estimated idle time of the spare charging guns in the power vehicle; dividing the spare charging guns according to the load data and the estimated idle time to obtain groups, where each group corresponds to a division type, and each group includes at least one spare charging gun arranged in descending order of priority, and the priority is determined according to the index corresponding to the division type; matching the charging situation with each division type to obtain the target division type that the charging situation hits, and using the group corresponding to the target division type as the target group, and scheduling the spare charging gun with the highest priority in the target group to charge the external vehicle.

[0097] Through the communication module integrated with the faulty charging gun, the charging data of the external vehicle currently connected to the faulty charging gun is obtained in real time, including key charging information such as the charged amount, remaining charging time, charging power, and battery type, so as to comprehensively understand the charging requirements of the external vehicle. At the same time, access the management system inside the power vehicle to query the load data of the spare charging guns, such as the current charging power, the working duration, and the estimated idle time calculated based on the work queue, to master the usage status of the spare charging guns.

[0098] Group the spare charging guns according to their load data and estimated idle time. For example, set the rule that the spare charging guns with an estimated idle time less than 10 minutes and a current load rate lower than 30% are classified into the "quickly available group"; those with an estimated idle time between 10 - 30 minutes and a load rate between 30% - 60% are grouped into the "medium available group"; those with an estimated idle time exceeding 30 minutes or a load rate higher than 60% are classified into the "slowly available group". Within each group, the spare charging guns are sorted in ascending order of estimated idle time and descending order of load rate.

[0099] Match the charging status of external vehicles with each classification type. If the remaining power of an external vehicle is low and it urgently needs to quickly replenish power, with a pressing requirement for charging time, and its charging demand conforms to the classification criteria of the "quickly available group", then the "quickly available group" is the target classification type, and the corresponding grouping of this group is the target grouping. The system sends an instruction to the standby charging gun with the highest priority in the target grouping, guides it to establish a connection with the external vehicle, conducts the charging operation, and monitors the charging process in real time to ensure the smooth progress of charging.

[0100] The method provided by the embodiments of the present application collects the charging information of external vehicles when the charging gun fails, and simultaneously grasps the load and idle status of the standby charging guns. Classify the standby charging guns according to the load and idle time and determine the priority. By matching the vehicle charging demand with the classification type of the standby charging guns, the suitable standby gun can be quickly locked, reducing the vehicle waiting time and making the charging service more timely. At the same time, in terms of optimizing resource allocation, the most appropriate standby charging gun can be accurately scheduled, avoiding resource idleness and overuse, improving the utilization efficiency of the standby charging guns, and reducing the operating cost.

[0101] In this embodiment, a control device for a power vehicle is also provided. This device is used to implement the above embodiments and preferred implementation manners, and those that have been described will not be repeated. As used hereinafter, the term "module" can be a combination of software and / or hardware that can achieve a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware is also possible and contemplated.

[0102] This embodiment provides a control device for a power vehicle, as Figure 4 shown, including:

[0103] An acquisition module 401, configured to acquire the charging status signals generated during the charging and discharging processes of different charging devices in the power vehicle;

[0104] A processing module 402, configured to determine the current power interaction scenario hit by the power vehicle based on the charging status signals of different charging devices;

[0105] A monitoring module 403, configured to acquire the monitoring indicators corresponding to the power interaction scenario and monitor the power vehicle in real time to obtain the index data corresponding to the monitoring indicators;

[0106] A scheduling module 404, configured to analyze the index data to obtain the index situation of the monitoring indicators, and schedule the charging devices of the power vehicle according to the index situation.

[0107] In the embodiment of the present application, the processing module 402 is configured to determine that the electric energy interaction scenario is a replenishment scenario if the charging status signals of different charging devices include the connection signal of the charging gun and the temperature signal of the charging line; and determine that the electric energy interaction scenario is a charging scenario if the charging status signals of different charging devices include the connection signal of the charging gun, the temperature signal of the charging line, and the control feedback signal of the electronic lock.

[0108] In the embodiment of the present application, the monitoring module 403 is configured to, if the electric energy interaction scenario is a replenishment scenario, monitor the temperature of the charging line of the power vehicle in real time to obtain temperature data; and if the electric energy interaction scenario is a charging scenario, monitor the charging line of the power vehicle and the status of the electronic lock in real time to obtain temperature data and electronic lock status data.

[0109] In the embodiment of the present application, when the electric energy interaction scenario is a replenishment scenario, the scheduling module 404 is configured to statistically analyze the temperature change trend based on the temperature data of the charging line; if the change trend determines that the temperature of the charging line is rising, compare the temperature data with a preset safety threshold; if the temperature data is less than the preset safety threshold and the difference from the preset safety threshold is less than a preset threshold, reduce the charging power of the charging seat currently connected to the power vehicle; predict the predicted change trend of the temperature of the charging line in the next time period based on the reduced charging power and the current environmental data; if the predicted change trend is a continuous increase, obtain the operating parameters of the standby charging seat and the current battery state parameters of the power vehicle, and evaluate the compatibility between the standby charging seat and the power vehicle based on the operating parameters and the battery state parameters; use the standby charging seat with the highest compatibility as the target charging seat, and schedule the target charging seat to replenish the power vehicle.

[0110] In the embodiment of the present application, the scheduling module 404 is configured to calculate the health score corresponding to the standby charging seat using the operating parameters; analyze the matching score between the operating parameters and the charging requirements of the power vehicle; obtain the first weight corresponding to the health score and the second weight corresponding to the matching score; calculate the compatibility using the health score, the first weight, the matching score, and the second weight.

[0111] In the embodiment of the present application, if the electric energy interaction scenario is a charging scenario, the scheduling module 404 is configured to compare the temperature data of the charging line with a preset temperature range, and analyze the electronic lock status data to determine whether the electronic lock is abnormal; if the temperature data does not fall within the preset temperature range and / or the electronic lock is abnormal, stop the charging operation, control the electronic lock to unlock, and detect the fault type of the charging gun; perform corresponding protection measures on the power vehicle according to the fault type, and schedule based on the standby charging gun in the power vehicle.

[0112] In the embodiment of the present application, the scheduling module 404 is configured to obtain the charging status of the external vehicle currently connected to the faulty charging gun; query the load data and the estimated idle time of the spare charging guns in the power vehicle; divide the spare charging guns according to the load data and the estimated idle time to obtain groups, where each group corresponds to a division type, and each group includes at least one spare charging gun arranged in descending order of priority, and the priority is determined according to the index corresponding to the division type; match the charging status with each division type to obtain the target division type hit by the charging status, and use the group corresponding to the target division type as the target group, and schedule the spare charging gun with the highest priority in the target group to charge the external vehicle.

[0113] Please refer to Figure 5 , Figure 5 which is a schematic structural diagram of a computer device provided by an optional embodiment of the present invention. As Figure 5 shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including a high-speed interface and a low-speed interface. Each component communicates with each other using different buses and can be installed on a common motherboard or installed in other ways as needed. The processor can process instructions executed within the computer device, including instructions stored in the memory or on the memory to display graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (such as a server array, a set of blade servers, or a multi-processor system).

[0114] The processor 10 can be a central processing unit, a network processor, or a combination thereof. Among them, the processor 10 can further include a hardware chip. The above hardware chip can be an application-specific integrated circuit, a programmable logic device, or a combination thereof. The above programmable logic device can be a complex programmable logic device, a field programmable gate array, a general array logic, or any combination thereof.

[0115] Among them, the memory 20 stores instructions executable by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0116] The memory 20 may include a program storage area and a data storage area. Among them, the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created according to the use of the computer device for the display of a kind of mini-program landing page, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some alternative embodiments, the memory 20 may optionally include a memory remotely disposed relative to the processor 10, and these remote memories may be connected to the computer device through a network. Examples of the above-mentioned network include but are not limited to the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof.

[0117] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk, or a solid-state drive; the memory 20 may further include a combination of the above types of memories.

[0118] The input device 30 may receive input digital or character information, and generate key signal inputs related to the user settings and function controls of the computer device, such as a touch screen, a keypad, a mouse, a trackpad, a touchpad, a pointing stick, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 may include a display device, an auxiliary lighting device (e.g., an LED), and a haptic feedback device (e.g., a vibration motor), etc. The above-mentioned display device includes but is not limited to a liquid crystal display, a light-emitting diode, a display, and a plasma display. In some alternative embodiments, the display device may be a touch screen.

[0119] The computer device further includes a communication interface 30 for the computer device to communicate with other devices or communication networks.

[0120] Embodiments of the present invention also provide a computer-readable storage medium. The method according to the embodiments of the present invention can be implemented in hardware, firmware, or be implemented as computer code that can be recorded on a storage medium, or be implemented by downloading over a network from an original storage in a remote storage medium or a non-transitory machine-readable storage medium and will be stored in a local storage medium, so that the methods described herein can be stored as such software processes on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid-state drive, etc.; further, the storage medium can also include a combination of the above-mentioned types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code, and when the software or computer code is accessed and executed by the computer, the processor, or the hardware, the methods shown in the above embodiments are implemented.

[0121] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A control method for a power supply vehicle, characterized in that: The method comprises: Obtain charging status signals generated by different charging devices in the power supply vehicle during the charging and discharging process; Based on the charging status signals of the different charging devices, determining the electric energy interaction scenario currently encountered by the power supply vehicle; Acquire monitoring indicators corresponding to the electric energy interaction scenario, and monitor the power supply vehicle in real time to obtain indicator data corresponding to the monitoring indicators; The indicator data is analyzed to obtain the indicator status of the monitoring indicator, and the charging equipment of the power supply vehicle is dispatched according to the indicator status.

2. The method according to claim 1, characterized in that The determining of the electric energy interaction scenario currently encountered by the power supply vehicle based on the charging status signals of different charging devices includes: If the charging status signals of the different charging devices include a connection signal of a charging gun and a temperature signal of a charging line, determining that the electric energy interaction scenario is an energy replenishment scenario; If the charging status signals of the different charging devices include a connection signal of a charging gun, a temperature signal of a charging line, and a control feedback signal of an electronic lock, it is determined that the power interaction scenario is a charging scenario.

3. The method according to claim 1, characterized in that: The real-time monitoring of the power supply vehicle to obtain indicator data corresponding to the monitoring indicator includes: If the electric energy interaction scenario is an energy replenishment scenario, the temperature of the charging line of the power supply vehicle is monitored in real time to obtain temperature data; If the electric energy interaction scenario is a charging scenario, the charging line and the electronic lock status of the power supply vehicle are monitored in real time to obtain temperature data and electronic lock status data.

4. The method according to claim 3, characterized in that When the electric energy interaction scenario is an energy replenishment scenario, the scheduling of the charging equipment of the power supply vehicle according to the indicator situation includes: Counting temperature change trends based on the temperature data of the charging line; If the change trend determines that the temperature of the charging circuit has risen, comparing the temperature data with a preset safety threshold; If the temperature data is less than the preset safety threshold, and the difference between the temperature data and the preset safety threshold is less than the preset threshold, the charging power of the charging seat to which the power supply vehicle is currently connected is reduced; Predicting a predicted change trend of the temperature of the charging line in the next time period based on the reduced charging power and current environmental data; If the predicted change trend is a continuous increase, the operating parameters of the standby charging station and the current battery status parameters of the power supply vehicle are obtained, and based on the operating parameters and the battery status parameters, the compatibility of the standby charging station and the power supply vehicle is evaluated; The standby charging seat with the highest adaptability is used as the target charging seat, and the target charging seat is scheduled to replenish energy for the power supply vehicle.

5. The method according to claim 4, characterized in that The evaluating the compatibility between the standby charging station and the power supply vehicle based on the operating parameter and the battery status parameter includes: Calculating a health score corresponding to the standby charging station using the operating parameters; Analyzing a matching score between the operating parameters and the charging requirements of the power supply vehicle; Obtaining a first weight corresponding to the health score and a second weight corresponding to the matching score; The fitness score, the first weight, the matching score, and the second weight are used to calculate the fitness score.

6. The method according to claim 3, characterized in that If the electric energy interaction scenario is a charging scenario, the scheduling of the charging equipment of the power supply vehicle according to the indicator situation includes: Comparing the temperature data of the charging circuit with a preset temperature range, and analyzing the electronic lock status data, to determine whether the electronic lock is abnormal; If the temperature data does not fall within the preset temperature range, and / or the electronic lock is abnormal, the charging operation is stopped, the electronic lock is controlled to be unlocked, and the fault type of the charging gun is detected; Corresponding protection measures are implemented on the power supply vehicle according to the fault type, and scheduling is performed based on the spare charging guns in the power supply vehicle.

7. The method according to claim 6, characterized in that The scheduling based on the spare charging gun in the power supply vehicle includes: Obtain the charging status of the external vehicle currently connected to the faulty charging gun; Query the load data and estimated idle time of the standby charging gun in the power supply vehicle; Divide the standby charging guns according to the load data and the expected idle time to obtain groups, wherein each group corresponds to a division type, and each group includes at least one standby charging gun arranged in descending order of priority, and the priority is determined according to an indicator corresponding to the division type; Matching the charging situation with each classification type to obtain a target classification type hit by the charging situation, and taking a group corresponding to the target classification type as a target group; The standby charging gun with the highest priority in the target group is dispatched to charge the external vehicle.

8. A control device for a power supply vehicle, characterized in that: The device comprises: An acquisition module is used to acquire charging status signals generated by different charging devices in the power supply vehicle during the charging and discharging process; A processing module, used to determine the electric energy interaction scenario currently encountered by the power supply vehicle based on charging status signals of different charging devices; A monitoring module, used to obtain monitoring indicators corresponding to the electric energy interaction scenario, and monitor the power supply vehicle in real time to obtain indicator data corresponding to the monitoring indicators; The scheduling module is used to analyze the indicator data to obtain the indicator status of the monitoring indicator, and schedule the charging equipment of the power supply vehicle according to the indicator status.

9. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method according to any one of claims 1 to 7 by executing the computer instructions.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method according to any one of claims 1 to 7.

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