Reverse Discharge Control Method for Virtual Energy Storage Unit of Mobile Emergency Power Supply for New Energy Vehicles

Abstract

The present application discloses a method for controlling the reverse discharge of a virtual energy storage unit of a new energy vehicle mobile emergency power supply, including: obtaining the battery state of the new energy vehicle and the grid load parameters within a monitoring period, and analyzing the energy interaction evaluation value. If the evaluation value exceeds the preset interval, the initial operation mode of the virtual energy storage unit of the mobile emergency power supply is determined as the first result, and the operation mode determination based on the evaluation value is entered; otherwise, it is the second result, and the operation mode determination based on the fluctuation parameters within the monitoring period is entered. Thus, according to the determination result of the operation mode of the virtual energy storage unit of the mobile emergency power supply, the virtual energy storage unit of the mobile emergency power supply is controlled. This mechanism ensures that the virtual energy storage unit of the mobile emergency power supply flexibly adjusts the operation strategy according to the actual situation, realizing efficiency optimization and safety protection.

Description

Technical Field

[0001] This application relates to the technical field of reverse discharge control, and particularly to a method for controlling reverse discharge of a virtual energy storage unit of a mobile emergency power supply for new energy vehicles. Background Art

[0002] With the rapid development of new energy technologies, especially the booming rise of the new energy vehicle industry, how to efficiently utilize such ubiquitous and widely distributed clean energy carriers has become a research hotspot. With the new trend of the development of diverse energy sources and electricity loads, the structure of the power system has become increasingly complex. At the same time, natural disasters have occurred frequently in recent years, and the importance of emergency power supply guarantee capabilities has become even more prominent. Meeting basic electricity demands such as mobile phone charging and lighting restoration in a timely manner has also become an important factor in ensuring stability. The large-scale application of new energy vehicle energy storage power supply provides important support for the efficient and economic operation of the new power system.

[0003] In the traditional emergency power supply system, it often relies on equipment such as fixed generators and diesel engines. These devices have problems such as long deployment cycles, inconvenient transportation, high noise, and pollution emissions, and are greatly restricted by capacity and geographical location. In natural disasters or emergencies, it is often difficult to reach the scene in time and meet the emergency power supply needs. Therefore, it is particularly important to study the technology of virtual energy storage units of mobile emergency power supplies that can be externally connected to new energy vehicles. As a mobile energy storage unit, new energy vehicles have the characteristics of flexible configuration, easy on-site installation and operation, rapid response, and high reliability. In emergency scenarios such as earthquakes, ice disasters, and floods, they can be quickly deployed and provide stable and reliable power support, effectively reducing the impact of disasters on power supply.

[0004] For example, a V2G (abbreviation for Vehicle-to-Grid, usually translated as "Vehicle to Grid" in Chinese) short-term emergency charging system and method disclosed in the invention patent announcement with the publication number CN111313476B includes an equal-amount fixed-energy storage device, a charging station with multiple charging piles, and a control center. The equal-amount fixed-energy storage device and the charging station are both connected to the power grid; the equal-amount fixed-energy storage device includes multiple energy storage units and a control unit, and all energy storage units perform information interaction with the control unit; the equal-amount fixed-energy storage device is connected to the charging station, and each energy storage unit can receive and store electrical energy from vehicles at the charging station and can discharge to the power grid; the control center regulates the energy flow between the equal-amount fixed-energy storage device, the charging station, the charging object, and the power grid to ensure that the charging demand "load" of the entire V2G short-term emergency charging system is a fixed value or / and the power generation "source" is a fixed value.

[0005] For example, a kind of energy control system and its control method for an electric vehicle charging and discharging station disclosed in the invention patent with the publication number of CN116388241A. The system includes a charging and discharging unit, an AC bus, a public network unit, and a monitoring and service unit. In the energy control system of the charging and discharging station including ordinary charging piles and V2G charging piles, during the peak charging period, if the transformer capacity is insufficient and the line load continues to increase, then after the authorization of the vehicle owner and the cooperation of the vehicle-pile-backend process, the vehicle connected to the V2G charging pile can be used as an energy storage unit for instant discharging, and within the set SOC, it provides reverse AC electric energy for the AC bus to realize the in-station recycling of energy and effectively relieve the line burden of the power system.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, it is found that the above technology has at least the following technical problems:

[0007] The existing reverse discharge control methods for new energy vehicles mostly only focus on the interaction between new energy vehicles and the traditional large power grid. In actual application scenarios, when there are problems with the power grid itself, such as large voltage fluctuations and a serious decline in power supply capacity, if only relying on the interaction between new energy vehicles and the power grid to achieve reverse discharge, it will not be able to meet the emergency power demand, cannot guarantee the continuous power supply of important equipment and places, and may even have a negative impact on the power grid, thereby affecting the stability and reliability of the entire power system. Summary of the Invention

[0008] In view of this, the embodiments of the present application provide a reverse discharge control method for a virtual energy storage unit of a new energy vehicle mobile emergency power supply.

[0009] According to one aspect of the present application, there is provided a reverse discharge control method for a virtual energy storage unit of a new energy vehicle mobile emergency power supply, including:

[0010] Within a preset monitoring period, obtain the battery state parameters and grid load parameters of the new energy vehicle, analyze the energy interaction evaluation value based on the battery state parameters and grid load parameters, and determine that the initial operation mode determination result of the virtual energy storage unit of the mobile emergency power supply is the first determination result when the energy interaction evaluation value exceeds the preset energy interaction evaluation verification interval, otherwise determine that the initial operation mode determination result of the virtual energy storage unit of the mobile emergency power supply is the second determination result;

[0011] If the initial operation mode determination result is the first determination result, the operation mode of the mobile emergency power virtual energy storage unit is determined based on the energy interaction evaluation value to determine whether the mobile emergency virtual energy storage unit is in the first grid interaction mode or the emergency power supply mode; if the initial operation mode determination result is the second determination result, the fluctuation parameters within the preset monitoring period are obtained, and the operation mode of the mobile emergency power virtual energy storage unit is determined to determine whether the mobile emergency power virtual energy storage unit is in the second grid interaction mode or the protection mode;

[0012] According to the operation mode determination result of the mobile emergency power virtual energy storage unit, the mobile emergency power virtual energy storage unit is controlled.

[0013] According to another aspect of the present application, a storage medium is provided, on which a computer program is stored, and when the program is executed by a processor, the above-mentioned reverse discharge control method for the virtual energy storage unit of the mobile emergency power supply of a new energy vehicle is implemented.

[0014] According to still another aspect of the present application, a computer device is provided, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor. When the processor executes the program, the above-mentioned reverse discharge control method for the virtual energy storage unit of the mobile emergency power supply of a new energy vehicle is implemented.

[0015] By means of the above technical solutions, the reverse discharge control method for the virtual energy storage unit of the mobile emergency power supply of a new energy vehicle provided by the embodiments of the present application has at least the following technical effects or advantages:

[0016] 1. The reverse discharge control method for the virtual energy storage unit of the mobile emergency power supply of a new energy vehicle provided by the present invention improves the flexibility and reliability of power supply. When the power grid is stable, it can accurately switch to the grid interaction mode, realize the two-way and efficient power interaction between the new energy vehicle and the power grid, optimize the power grid load, and improve the energy utilization efficiency. In case of power grid anomalies, it can quickly switch to the emergency power supply mode to stably supply power to key equipment and places. The continuous self-optimization of the discharge efficiency ensures efficient power supply in different operation modes and reduces energy loss. The progressive fluctuation optimization regulation enables the system to operate stably under complex conditions and effectively enhances the adaptability of the power system to various scenarios.

[0017] 2. By determining the working mode based on the energy interaction evaluation value, the present invention can accurately match the operating states of the virtual energy storage unit of the new energy vehicle mobile emergency power supply and the power grid, realizing the efficient utilization and reasonable distribution of electric energy. When the energy interaction evaluation value is less than the lower limit value of the energy interaction evaluation verification interval, it is determined as the grid interaction mode, and two-way electric energy interaction is carried out with the power grid to supplement power, balance the grid load and optimize its own power reserve, improving the stability and economy of the grid operation. When the energy interaction evaluation value is greater than the upper limit value of the energy interaction evaluation verification interval, it is determined as the emergency power supply mode, and electric energy is quickly output to ensure the normal operation of important loads, relieve the power supply crisis, maintain social order and ensure personnel safety, avoiding negative impacts on the power grid and equipment due to improper mode selection, and improving the ability of the power system to cope with complex situations.

[0018] 3. By adaptively optimizing the discharge efficiency, the present invention can accurately adjust the relevant parameters of the inverter according to the different working modes of the virtual energy storage unit of the mobile emergency power supply, realizing the efficient utilization of energy and stable power supply. In the grid interaction mode, the inverter switching frequency is adjusted. In the emergency power supply mode, the PWM duty cycle of the inverter is adjusted to ensure stable power supply for important loads in the emergency scenario, avoiding energy waste and equipment damage, and improving the power supply performance and energy utilization rate of the virtual energy storage unit of the mobile emergency power supply in different scenarios.

[0019] The above description is only an overview of the technical solution of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the following specifically gives the specific implementation manners of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The schematic embodiments and descriptions thereof of the present application are used to explain the present application and do not constitute an improper limitation of the present application. In the drawings:

[0021] Figure 1 The flowchart of a method for controlling the reverse discharge of a virtual energy storage unit of a new energy vehicle mobile emergency power supply provided by an embodiment of the present application is shown. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] The present application will be described in detail below with reference to the drawings and in combination with embodiments. It should be noted that, without conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0023] In this embodiment, a method for controlling the reverse discharge of a virtual energy storage unit of a new energy vehicle mobile emergency power supply is provided. As Figure 1 shown, the method includes:

[0024] Step 101: Within a preset monitoring period, obtain the battery status parameters and grid load parameters of the new energy vehicle, analyze the energy interaction evaluation value based on the battery status parameters and the grid load parameters, and determine that the initial operation mode determination result of the mobile emergency power supply virtual energy storage unit is a first determination result when the energy interaction evaluation value exceeds a preset energy interaction evaluation verification interval; otherwise, determine that the initial operation mode determination result of the mobile emergency power supply virtual energy storage unit is a second determination result.

[0025] In this embodiment, the initial operation mode determination result of the mobile emergency power supply virtual energy storage unit is obtained, and the specific analysis method is as follows:

[0026] During the preset monitoring period, the battery status parameters and grid load parameters of the new energy vehicle are obtained. The battery status parameters of the new energy vehicle include the battery power consumption rate and the battery temperature extreme difference. The grid load parameters include the grid voltage fluctuation and the average load power. Among them, the battery power and battery temperature can be monitored and collected by the battery management system of the new energy vehicle, the grid voltage can be collected by the voltage sensor, and the load power can be collected by the power sensor.

[0027] It should be noted that during the reverse discharge process of the mobile emergency power supply for new energy vehicles, there is a close correlation between the battery power consumption rate and the battery temperature extreme difference. When the battery power consumption rate is fast, it means that the battery releases a large amount of electrical energy in a short period of time, which will lead to intensified chemical reactions inside the battery, generating more heat, causing the battery temperature to rise rapidly, thereby increasing the battery temperature extreme difference. Conversely, if the battery temperature extreme difference is large, it indicates that the internal heat of the battery changes dramatically, which may affect the electrochemical performance of the battery, resulting in an increase in the battery's internal resistance, causing the battery to consume faster when outputting the same amount of power.

[0028] It's also important to understand that an increase in average load power means more devices are connected to the grid, or their power demands rise, which in turn increases the current flowing through the grid. According to Ohm's law, this increased current can lead to increased voltage drops on transmission lines, which in turn increases grid voltage fluctuations and instability.

[0029] It should be added that the grid voltage fluctuation refers to the difference between the maximum and minimum grid voltage values within a preset monitoring period.

[0030] Extract reference battery state parameters and grid load parameters stored in the database.

[0031] The reference battery status parameters include a reference battery power consumption rate and a reference battery temperature extreme value difference.

[0032] The reference grid load parameters include reference grid voltage fluctuation and reference average load power.

[0033] An energy interaction evaluation value is obtained through the analysis and processing of new energy vehicle battery state parameters and grid load parameters.

[0034] The energy interaction evaluation value represents the quantitative result of the combined influence of new energy vehicle battery state parameters and grid load parameters on the working mode of the mobile emergency power virtual energy storage unit. The specific analysis process is as follows: The new energy vehicle battery state parameters and grid load parameters are respectively subjected to differential processing with corresponding reference values. After taking the reciprocal of the differential result of the new energy vehicle battery state parameters, it is combined with the differential result of the grid load parameters, and then coupled with the corresponding weight values to obtain the energy interaction evaluation value.

[0035] In a specific embodiment, the energy interaction evaluation value is specifically represented as follows:

[0036]

[0037] Among them, is the energy interaction evaluation value, is the battery power consumption rate, is the extreme difference of battery temperature, is the grid voltage fluctuation amount, is the average load power, is the reference battery power consumption rate, is the reference extreme difference of battery temperature, is the reference grid voltage fluctuation amount, is the reference average load power, is the weight value of the battery power consumption rate, is the weight value of the extreme difference of battery temperature, is the weight value of the grid voltage fluctuation amount, is the weight value of the average load power.

[0038] It should be noted that the value ranges of the weight value of the battery power consumption rate, the weight value of the extreme difference of battery temperature, the weight value of the grid voltage fluctuation amount, and the weight value of the average load power are all between 0 and 1. When used, the pre-set values can be directly extracted from the database. For example, the extraction method is to construct a mapping set for the battery power consumption rate, the extreme difference of battery temperature, the grid voltage fluctuation amount, and the average load power respectively with the corresponding weight values of the battery power consumption rate, the extreme difference of battery temperature, the grid voltage fluctuation amount, and the average load power one by one. When used, the real-time obtained battery power consumption rate, the extreme difference of battery temperature, the grid voltage fluctuation amount, and the average load power are input into the mapping set one by one to extract the corresponding weight values of the battery power consumption rate, the extreme difference of battery temperature, the grid voltage fluctuation amount, and the average load power.

[0039] It should be understood that when the battery power consumption rate is low, it indicates that the battery consumes power slowly during the reverse charging process, which means that the battery can output electrical energy stably for a long time, indicating that the battery has sufficient energy to continuously supply the external load. At this time, it is more suitable to enter the emergency power supply mode. If the extreme difference in battery temperature is small, it means that the temperature change of the battery is relatively stable during the reverse charging process, the battery performance is relatively stable, and it can continuously and reliably output electrical energy. When other conditions are suitable (such as small grid voltage fluctuations and low average load power), it means that the battery has the ability to provide stable energy for the external load and is more suitable to enter a mode similar to the emergency power supply mode. When the grid voltage fluctuation amount is small, the grid voltage is relatively stable, and it is more suitable to enter the first grid interaction mode. When the average load power is low, the power supply pressure of the grid is small. At this time, if the battery is fully charged, the new energy vehicle can choose to enter the first grid interaction mode.

[0040] Extract the preset energy interaction evaluation and verification interval in the database.

[0041] If the energy interaction evaluation value exceeds the energy interaction evaluation and verification interval, record the initial operation mode determination result of the mobile emergency power virtual energy storage unit as the first determination result.

[0042] If the energy interaction evaluation value is within the energy interaction evaluation and verification interval, record the initial operation mode determination result of the mobile emergency power virtual energy storage unit as the second determination result.

[0043] It should be noted that if the energy interaction evaluation value is within the energy interaction evaluation and verification interval, the system may face frequent fluctuations in grid voltage, sudden changes in load power (for example: external devices are suddenly disconnected or added), rapid decline in battery power or sharp changes in temperature. If the system blindly enters the V2G mode at this time, it may cause: unstable power feedback, excessive discharge or abnormal temperature of the battery, and further aggravation of grid voltage fluctuations.

[0044] Step 102: If the initial operation mode determination result is the first determination result, determine the working mode of the mobile emergency power virtual energy storage unit based on the energy interaction evaluation value to determine whether the mobile emergency virtual energy storage unit is in the first grid interaction mode or the emergency power supply mode; if the initial operation mode determination result is the second determination result, obtain the fluctuation parameters within the preset monitoring period, and determine the working mode of the mobile emergency power virtual energy storage unit to determine whether the mobile emergency power virtual energy storage unit is in the second grid interaction mode or the protection mode.

[0045] In this embodiment, the working mode is determined based on the energy interaction evaluation value to determine whether the mobile emergency virtual energy storage unit is in the first grid interaction mode or the emergency power supply mode. The specific analysis process is as follows:

[0046] The first power grid interaction mode refers to the working mode in which the virtual energy storage unit of the mobile emergency power source of new energy vehicles conducts two-way electrical energy interaction with the power grid. In this mode, when the power grid voltage is stable, the load power is within the normal range, and the battery state of the new energy vehicle is good, the virtual energy storage unit of the mobile emergency power source can deliver electrical energy to the power grid according to the power grid demand, playing the role of supplementing power and balancing the power grid load; at the same time, it can also obtain electrical energy from the power grid for charging at an appropriate time, realizing the optimal allocation and efficient utilization of electrical energy, and enhancing the stability and economy of the power grid operation.

[0047] The emergency power supply mode means that when the power grid shows abnormal conditions, such as large voltage fluctuations and a serious decline in power supply capacity, resulting in the inability to meet the basic power consumption needs of key equipment and places, the virtual energy storage unit of the mobile emergency power source of new energy vehicles is quickly activated, and the electrical energy stored in itself is output to provide stable and reliable power supply for important loads in the emergency scenario, such as emergency lighting equipment, medical equipment, etc., ensuring the normal operation of key equipment, meeting the basic power consumption needs, alleviating the power supply crisis, and playing an important role in maintaining social order and ensuring personnel safety in case of emergencies.

[0048] Obtain the upper limit value and the lower limit value of the energy interaction evaluation verification interval.

[0049] If the energy interaction evaluation value is less than the lower limit value of the energy interaction evaluation verification interval, the working mode of the virtual energy storage unit of the mobile emergency power source is determined as the first power grid interaction mode.

[0050] If the energy interaction evaluation value is greater than the upper limit value of the energy interaction evaluation verification interval, the working mode of the virtual energy storage unit of the mobile emergency power source is determined as the emergency power supply mode.

[0051] In this embodiment, the fluctuation parameters within the preset monitoring period are obtained, and the working mode of the virtual energy storage unit of the mobile emergency power source is determined to determine whether the virtual energy storage unit of the mobile emergency power source is in the second power grid interaction mode or the protection mode. The specific process is as follows:

[0052] Obtain the fluctuation parameters within the preset monitoring period. The fluctuation parameters include the power grid voltage volatility and the battery power volatility. Among them, the power grid voltage volatility can collect the power grid voltage values continuously at a fixed sampling frequency by using a voltage sensor at the connection point between the power grid and the new energy vehicle, and then analyze the standard deviation of the power grid voltage within the monitoring period. The power grid voltage standard deviation is used as the numerical result of the power grid voltage volatility. The battery power volatility can monitor and collect the battery power through the battery management system of the new energy vehicle, and then analyze the standard deviation of the battery power within the monitoring period. The battery power standard deviation is used as the numerical result of the battery power volatility.

[0053] Extract the reference fluctuation parameters stored in the database, including the reference grid voltage volatility and the reference battery power volatility.

[0054] Extract the grid voltage volatility weight and the battery power volatility weight stored in the database. The value ranges of both the grid voltage volatility weight and the battery power volatility weight are between 0 and 1. When in use, the corresponding weights can be directly extracted from the database. The specific extraction method is, for example: construct mapping sets for the grid voltage volatility and the battery power volatility with their corresponding grid voltage volatility weights and battery power volatility weights one by one. When in use, input the real-time obtained grid voltage volatility and battery power volatility into the corresponding mapping sets respectively, so as to extract the grid voltage volatility weight and the battery power volatility weight.

[0055] Analyze and process the fluctuation parameters to obtain the energy interaction fluctuation factor.

[0056] The energy interaction fluctuation factor represents the quantitative data of the combined influence of the grid voltage volatility and the battery power volatility on the energy interaction fluctuation. The specific analysis process is: compare the grid voltage volatility and the battery power volatility with their corresponding reference values respectively, and couple the comparison results with the corresponding weights to obtain the energy interaction fluctuation factor.

[0057] In a specific embodiment, the specific representation method of the energy interaction fluctuation factor is as follows:

[0058]

[0059] Among them, is the energy interaction fluctuation factor, is the grid voltage volatility, is the battery power volatility, is the reference grid voltage volatility, is the reference battery power volatility, is the grid voltage volatility weight, is the battery power volatility weight.

[0060] Extract the preset energy interaction fluctuation verification factor in the database.

[0061] If the energy interaction fluctuation factor is less than the energy interaction fluctuation verification factor, determine the working mode of the mobile emergency power virtual energy storage unit as the second grid interaction mode; otherwise, determine the working mode of the mobile emergency power virtual energy storage unit as the protection mode.

[0062] It should be understood that if the energy interaction fluctuation factor is less than the energy interaction fluctuation verification factor, it indicates that the combined influence of the grid voltage volatility and the battery power volatility on the energy interaction fluctuation is within a relatively stable and safe range. Currently, the fluctuations of both the grid voltage and the battery power are relatively small, the grid can operate stably, and the battery can continuously and stably output electrical energy without affecting the normal operation of the virtual energy storage unit of the mobile emergency power supply due to excessive fluctuations. On the contrary, it indicates that the energy interaction fluctuation jointly caused by the grid voltage volatility and the battery power volatility is relatively large and exceeds the safety standard. This may lead to unstable grid operation, affect the quality of power transmission, and at the same time, the battery may face safety risks such as overheating and over-discharge due to abnormal power fluctuations, thereby affecting the normal operation and service life of the virtual energy storage unit of the mobile emergency power supply.

[0063] It should be added that the protection mode refers to an operating mode adopted to avoid equipment damage and ensure the stability and safety of the power system when the system is in an abnormal state. In the protection mode, the virtual energy storage unit of the mobile emergency power supply will suspend normal power interaction operations, such as stopping power supply to the grid or taking power from the grid, and at the same time start a series of protection measures. It will protect the battery to prevent overcharging, over-discharging, and safety problems caused by abnormal temperature. By controlling the charging and discharging current and voltage of the battery, the stable performance of the battery is maintained. It will also monitor and adjust key equipment such as inverters to avoid equipment failures caused by abnormal voltage and current. Once entering the protection mode, the system will continuously monitor relevant parameters, and only when all parameters return to the safe range will it consider exiting the protection mode and switching to other normal operating modes to ensure the safe and stable operation of the entire virtual energy storage unit of the mobile emergency power supply and the power system.

[0064] In addition, after determining the operating mode of the virtual energy storage unit of the mobile emergency power supply as the second grid interaction mode, it further includes:

[0065] Within a preset first monitoring time window, collect the grid voltage volatility and the battery power volatility; extract the first threshold of the grid voltage volatility and the first threshold of the battery power volatility preset in the database.

[0066] If the grid voltage volatility is not less than the first threshold of the grid voltage volatility and / or the battery power volatility is not less than the first threshold of the battery power volatility, then switch the virtual energy storage unit of the mobile emergency power supply from the second grid interaction mode to the protection mode.

[0067] If the grid voltage volatility is not less than the first threshold of the grid voltage volatility, or the battery power volatility is not less than the first threshold of the battery power volatility, or both conditions are met, it indicates that after a period of operation, the operating state of the grid or the battery has fluctuated significantly, posing a safety hazard. A too high grid voltage volatility means that the stability of the grid voltage deteriorates, which may cause electrical equipment to malfunction or even be damaged; a too large battery power volatility reflects unstable changes in the battery power, which may be due to abnormalities inside the battery, such as battery aging, short circuit, etc., or may be caused by drastic changes in the external load. In this case, the mobile emergency power virtual energy storage unit continuing to operate in the second grid interaction mode will face greater risks. To ensure equipment safety and stable power supply, it is necessary to promptly switch to the protection mode to avoid further damage to the equipment or triggering more serious power failures.

[0068] If the grid voltage volatility is less than the first threshold of the grid voltage volatility and the battery power volatility is less than the first threshold of the battery power volatility, then obtain the first deviation rate of the grid voltage fluctuation and the first deviation rate of the battery power fluctuation.

[0069] If the grid voltage volatility is less than the first threshold of the grid voltage volatility and the battery power volatility is less than the first threshold of the battery power volatility, it indicates that the current operating states of the grid and the battery are relatively stable, and the fluctuations are within the normal range.

[0070] It should be added that the first deviation rate of the grid voltage fluctuation is obtained by subtracting the grid voltage volatility from the first threshold of the grid voltage volatility, and the first deviation rate of the battery power fluctuation is obtained by subtracting the battery power volatility from the first threshold of the battery power volatility.

[0071] Based on the first deviation rate of the grid voltage fluctuation, extract the first adjustment value of the inverter switching frequency. The specific extraction method is: extract the inverter switching frequency adjustment values corresponding to each power fluctuation first deviation rate interval stored in the database, and map and extract the inverter switching frequency adjustment value corresponding to the interval where the first deviation rate of the grid power fluctuation is located, denoted as the first adjustment value of the inverter switching frequency.

[0072] Based on the first deviation rate of the battery power fluctuation, extract the first adjustment value of the inverter PWM duty cycle. The specific extraction method is: extract the inverter switching frequency adjustment values corresponding to each power fluctuation first deviation rate interval stored in the database, and map and extract the inverter PWM duty cycle adjustment value corresponding to the interval where the first deviation rate of the battery power fluctuation is located, denoted as the first adjustment value of the inverter PWM duty cycle.

[0073] In the mobile emergency power system, obtain the current inverter switching frequency and the current inverter PWM duty cycle. Among them, the current inverter switching frequency and the current inverter PWM duty cycle can be directly obtained in the mobile emergency power system.

[0074] Adjust the inverter switching frequency based on the current inverter switching frequency and the first adjustment value of the inverter switching frequency.

[0075] Adjust the inverter PWM duty cycle based on the current inverter PWM duty cycle and the first adjustment value of the inverter PWM duty cycle.

[0076] After the adjustment of the inverter switching frequency and the inverter PWM duty cycle is completed, re-obtain the grid voltage volatility and the battery power volatility.

[0077] If the re-obtained grid voltage volatility is greater than or equal to the first threshold of the grid voltage volatility or the battery power volatility is greater than or equal to the first threshold of the battery power volatility, switch the mobile emergency power virtual energy storage unit from the second grid interaction mode to the protection mode.

[0078] If the grid voltage volatility is greater than or equal to the first threshold of the grid voltage volatility or the battery power volatility is greater than or equal to the first threshold of the battery power volatility, it indicates that after adjustment, the fluctuations of the grid voltage or the battery power have not been effectively improved and are still in an unsafe fluctuation range. This means that the stability of the grid is poor, which may damage the mobile emergency power virtual energy storage unit and the connected electrical equipment; the unstable fluctuations of the battery power may also affect the performance and service life of the battery and even cause safety problems. To avoid potential risks and losses, at this time, it is necessary to urgently switch the mobile emergency power virtual energy storage unit from the second grid interaction mode to the protection mode, stop the normal power interaction work, protect the equipment and the battery, prevent the fault from further expanding, and ensure the safety of the entire power system.

[0079] If the grid voltage volatility is less than the first threshold of the grid voltage volatility and the battery power volatility is less than the first threshold of the battery power volatility, switch the mobile emergency power virtual energy storage unit from the second grid interaction mode to the first grid interaction mode.

[0080] If the grid voltage volatility is less than the first threshold of the grid voltage volatility and the battery power volatility is less than the first threshold of the battery power volatility, it indicates that after adjustment, the fluctuations of both the grid voltage and the battery power are effectively controlled within the safe range, the system operation state is stable, and the battery can also stably output electrical energy. In this case, after switching, the mobile emergency power virtual energy storage unit can interact with the grid in a more efficient two-way power manner, realize the optimal allocation of electrical energy, improve the overall operation efficiency of the power system, and achieve stable reverse power supply.

[0081] Step 103: Control the mobile emergency power virtual energy storage unit according to the working mode determination result of the mobile emergency power virtual energy storage unit.

[0082] In this embodiment, when the operating mode of the mobile emergency power virtual energy storage unit is the first power grid interaction mode or the emergency power supply mode, the discharge efficiency parameters are collected, and the discharge efficiency is adaptively optimized based on the different operating modes of the mobile emergency power virtual energy storage unit. The specific analysis process is as follows:

[0083] When the operating mode of the mobile emergency power virtual energy storage unit is the first power grid interaction mode or the emergency power supply mode, the discharge efficiency parameters are collected, and the discharge efficiency evaluation value of the mobile emergency power virtual energy storage unit is analyzed.

[0084] In a specific embodiment, the discharge efficiency evaluation value of the mobile emergency power virtual energy storage unit is analyzed. The specific analysis process is as follows:

[0085] After the mobile emergency power virtual energy storage unit enters the operating mode, the discharge efficiency parameters are collected. The discharge efficiency parameters include the battery output voltage (collected by connecting a voltage sensor to the battery output terminal), the load power factor (collected by a power factor meter connected to the load circuit), and the energy conversion efficiency (by measuring the battery input power and the power output to the load respectively with a power sensor, and taking the numerical result of the ratio of the battery input power and the power output to the load as the energy conversion efficiency).

[0086] It should be noted that the battery output voltage, the load power factor, and the energy conversion efficiency are interrelated. The stability of the battery output voltage affects the load power factor. A stable high voltage allows the load to work better and improves the power factor. And the load characteristics in turn affect the battery output voltage. If the load changes greatly, the voltage is prone to fluctuate. At the same time, both the battery output voltage and the load power factor act on the energy conversion efficiency. Appropriate voltage and high power factor can reduce energy loss and improve the energy conversion efficiency. High-efficiency energy conversion helps to maintain the stability of the battery output voltage and ensure the normal operation of the load.

[0087] The reference discharge efficiency parameters stored in the database are extracted, including the reference battery output voltage, the reference load power factor, and the reference energy conversion efficiency.

[0088] Based on the discharge efficiency parameters and the reference discharge efficiency parameters, the discharge efficiency evaluation value of the mobile emergency power virtual energy storage unit is obtained through analysis and processing.

[0089] The discharge efficiency evaluation value of the mobile emergency power virtual energy storage unit represents the quantitative data of the combined influence degree of the battery output voltage, the load power factor, and the energy conversion efficiency on the discharge efficiency of the mobile emergency power virtual energy storage unit. The specific analysis process is as follows: The discharge efficiency parameters are respectively subjected to differential processing with the corresponding reference values, and the differential processing results are coupled with the corresponding weights to obtain the discharge efficiency evaluation value of the mobile emergency power virtual energy storage unit.

[0090] The discharge efficiency evaluation value of the virtual energy storage unit of the mobile emergency power supply is specifically expressed as follows:

[0091]

[0092] Among them, is the discharge efficiency evaluation value of the virtual energy storage unit of the mobile emergency power supply, is the battery output voltage, is the load power factor, is the energy conversion efficiency, is the reference battery output voltage, is the reference load power factor, is the reference energy conversion efficiency, is the weight value of the battery output voltage, is the weight value of the load power factor, is the weight value of the energy conversion efficiency.

[0093] It should be understood that the value ranges of the weight value of the battery output voltage, the weight value of the load power factor, and the weight value of the energy conversion efficiency are all between 0 and 1. When in use, the preset values can be directly extracted from the database. The specific extraction method is, for example, to construct a mapping set for the battery output voltage, the load power factor, and the energy conversion efficiency with the corresponding weight values of the battery output voltage, the load power factor, and the energy conversion efficiency one by one. When in use, the battery output voltage, the load power factor, and the energy conversion efficiency obtained in real time are input into the mapping set one by one, so as to extract the weight value of the battery output voltage, the weight value of the load power factor, and the weight value of the energy conversion efficiency.

[0094] Extract the preset discharge efficiency evaluation verification value in the database.

[0095] Subtract the discharge efficiency evaluation verification value from the discharge efficiency evaluation value of the virtual energy storage unit of the mobile emergency power supply to obtain the discharge efficiency evaluation deviation value of the virtual energy storage unit of the mobile emergency power supply.

[0096] It should be noted that the discharge efficiency evaluation deviation value of the virtual energy storage unit of the mobile emergency power supply can be greater than zero, less than zero, or equal to zero.

[0097] Extract the second adjustment value of the inverter switching frequency and the second adjustment value of the inverter PWM duty cycle based on the discharge efficiency evaluation deviation value of the virtual energy storage unit of the mobile emergency power supply.

[0098] Among them, the specific extraction process of the second adjustment value of the inverter switching frequency is: extract the inverter switching frequency adjustment value corresponding to each discharge efficiency evaluation deviation value interval stored in the database, and map and extract the inverter switching frequency adjustment value corresponding to the interval where the discharge efficiency evaluation deviation value of the virtual energy storage unit of the mobile emergency power supply is located, denoted as the second adjustment value of the inverter switching frequency.

[0099] The specific extraction process of the second regulation value of the inverter PWM duty cycle is as follows: extract the inverter PWM duty cycle regulation values corresponding to the intervals of each discharge efficiency evaluation deviation value stored in the database, and map and extract the inverter PWM duty cycle regulation value corresponding to the interval where the discharge efficiency evaluation deviation value of the virtual energy storage unit of the mobile emergency power supply is located, which is recorded as the second regulation value of the inverter PWM duty cycle.

[0100] It should be noted that the larger the discharge efficiency evaluation deviation value is and greater than zero, it indicates that the actual discharge efficiency evaluation value of the virtual energy storage unit of the mobile emergency power supply is higher than the preset discharge efficiency evaluation verification value, meaning that the current discharge efficiency is relatively high, but there may be situations such as over-discharge or other factors that are not conducive to the stable operation of the system. To make the discharge efficiency reach a more reasonable state and ensure the stable and efficient operation of the system, the second regulation value of the inverter switching frequency and the second regulation value of the inverter PWM duty cycle extracted correspondingly are usually negative values. This is because reducing the inverter switching frequency and PWM duty cycle can reduce the discharge power of the battery, thereby adjusting the discharge efficiency to make it closer to the reasonable range. On the contrary, the smaller the discharge efficiency evaluation deviation value is and the larger its absolute value is, it indicates that the actual discharge efficiency evaluation value is much lower than the preset verification value, and the current discharge efficiency is poor, which may not meet the power consumption requirements or cause energy waste. To improve the discharge efficiency and ensure that the system can supply power to the load normally and stably, the second regulation value of the inverter switching frequency and the second regulation value of the inverter PWM duty cycle extracted correspondingly are positive values. Increasing the inverter switching frequency and PWM duty cycle can increase the discharge power of the battery, thereby improving the discharge efficiency and meeting the power supply requirements of the system.

[0101] If the working mode of the virtual energy storage unit of the mobile emergency power supply is the first power grid interaction mode, obtain the current inverter switching frequency, and adjust the inverter switching frequency according to the current inverter switching frequency and the second regulation value of the inverter switching frequency, so as to perform adaptive optimization of the discharge efficiency.

[0102] It should be noted that in a specific embodiment, assuming that during the low power consumption period of the power grid in a certain area, the mobile emergency power virtual energy storage unit is in the first power grid interaction mode, and its main function is to feed back electric energy to the power grid. At this time, the power load in the power grid is relatively low. In order to better achieve the optimal allocation of electric energy, it is necessary to adjust the discharge efficiency of the mobile emergency power virtual energy storage unit, analyze and extract the second adjustment value of the inverter switching frequency. If the discharge efficiency evaluation deviation value indicates problems such as large power loss in the current discharge process, the extracted second adjustment value of the inverter switching frequency is a positive value. After the system obtains the current inverter switching frequency, it adds it to the second adjustment value to increase the inverter switching frequency, so that when the inverter transmits electric energy to the power grid, it can adjust the change speed of the current and reduce the power loss during the transmission and conversion of electric energy, thereby improving the discharge efficiency. On the contrary, if the discharge efficiency is too high, it may affect the stability of the power grid. At this time, the extracted second adjustment value is a negative value, and the system reduces the inverter switching frequency to optimize the discharge efficiency, ensuring that in the first power grid interaction mode, the mobile emergency power virtual energy storage unit can not only efficiently feed back electric energy to the power grid but also ensure the stable operation of the power grid.

[0103] It should be understood that in the first power grid interaction mode, the adjustment goal is that the output electric energy must be of high quality and low harmonic content, adapt to the power grid standard, maintain a high power factor, avoid reactive power, ensure the stability and controllability of the feedback electric energy, and pursue high efficiency on the premise of ensuring quality. Adjusting the inverter switching frequency can specifically adjust the main control waveform accuracy and power factor.

[0104] If the working mode of the mobile emergency power virtual energy storage unit is the emergency power supply mode, obtain the current inverter PWM duty cycle, and adjust the inverter PWM duty cycle according to the current inverter PWM duty cycle and the second adjustment value of the inverter PWM duty cycle, thereby performing adaptive optimization of the discharge efficiency.

[0105] It should be noted that in a specific embodiment, assume that in a certain emergency scenario, the mobile emergency power virtual energy storage unit is in the emergency power supply mode. At this time, it is necessary to provide stable power for a temporarily set up medical tent to ensure the normal operation of medical equipment. Currently, the system monitors that the power consumption demand of the medical equipment has changed, and the original stable power supply state is affected. By collecting and analyzing the discharge efficiency parameters, the discharge efficiency evaluation value of the mobile emergency power virtual energy storage unit is obtained, and then the discharge efficiency evaluation deviation value is calculated. According to the deviation value, the second adjustment value of the inverter PWM duty cycle is mapped and extracted from the database. For example, if the current inverter PWM duty cycle is at a certain initial state, and the discharge efficiency evaluation deviation value indicates insufficient discharge efficiency, the extracted second adjustment value of the inverter PWM duty cycle is positive, which means that the PWM duty cycle needs to be increased. After the system obtains the current inverter PWM duty cycle, it adds it to the second adjustment value to increase the PWM duty cycle, making the voltage output by the inverter more suitable for the needs of the medical equipment, thereby improving the discharge efficiency and ensuring the stable operation of the medical equipment. On the contrary, if the discharge efficiency is too high, it may cause over-discharge of the battery. The extracted second adjustment value is negative, and the system will reduce the PWM duty cycle to optimize the discharge efficiency and achieve efficient and stable power supply in the emergency power supply mode.

[0106] In the emergency power supply mode, the adjustment goal is to ensure the stable output of the load voltage and current, adapt to dynamic load changes, prevent over-discharge or over-charge of the battery, improve the conversion efficiency as much as possible, reduce internal losses, and the power factor can be appropriately relaxed. Adjusting the inverter PWM duty cycle can directly adjust the output power response and has the strongest adaptability to load changes.

[0107] In this embodiment, when the mobile emergency power virtual energy storage unit is in the protection mode, the fluctuation parameters are obtained again for progressive fluctuation optimization adjustment. The specific analysis steps are as follows:

[0108] The fluctuation parameters are obtained again, and the fluctuation parameters include the grid voltage volatility and the battery power volatility.

[0109] The second threshold of the grid voltage volatility and the second threshold of the battery power volatility preset in the database are extracted.

[0110] It should be noted that the second threshold of the grid voltage volatility is greater than the first threshold of the grid voltage volatility, and the second threshold of the battery power volatility is greater than the first threshold of the battery power volatility.

[0111] If within the first preset duration in the database, the grid voltage volatility continuously remains less than the second threshold of the grid voltage volatility and the battery power volatility continuously remains less than the second threshold of the battery power volatility, then subtract the grid voltage volatility from the second threshold of the grid voltage volatility to obtain the second deviation rate of the grid voltage fluctuation, and subtract the battery power volatility from the second threshold of the battery power volatility to obtain the second deviation rate of the battery power fluctuation.

[0112] If within the first preset duration in the database, the grid voltage volatility continuously remains less than the second threshold of the grid voltage volatility and the battery power volatility continuously remains less than the second threshold of the battery power volatility, it indicates that during this period, the operating states of the grid and the battery continuously remain stable. This continuous stable state means that the virtual energy storage unit of the mobile emergency power supply may be able to enter the working mode.

[0113] Extract the third adjustment value of the inverter switching frequency stored in the database. The specific extraction process is as follows: Extract the inverter switching frequency adjustment values corresponding to each interval of the second deviation rate of the power fluctuations stored in the database, and map and extract the inverter switching frequency adjustment value corresponding to the interval in which the second deviation rate of the battery power fluctuation is located, denoted as the third adjustment value of the inverter switching frequency.

[0114] Extract the third adjustment value of the inverter PWM duty cycle stored in the database. The specific extraction process is as follows: Extract the inverter switching frequency adjustment values corresponding to each interval of the second deviation rate of the power fluctuations stored in the database, and map and extract the inverter PWM duty cycle adjustment value corresponding to the interval in which the second deviation rate of the battery power fluctuation is located, denoted as the third adjustment value of the inverter PWM duty cycle.

[0115] Extract the preset adjustment step of the inverter switching frequency and the adjustment step of the inverter PWM duty cycle stored in the database.

[0116] Obtain the current inverter switching frequency and the current inverter PWM duty cycle.

[0117] Based on the current inverter switching frequency, the third adjustment value of the inverter switching frequency, and the adjustment step of the inverter switching frequency, perform a progressive fluctuation optimization adjustment on the inverter switching frequency.

[0118] In a specific embodiment, it is assumed that after the mobile emergency power virtual energy storage unit enters the protection mode, relevant fluctuation parameters are re-monitored. At this time, the system determines that the inverter switching frequency needs to be optimized and adjusted. The current inverter switching frequency is in a certain operating state. The third adjustment value of the inverter switching frequency is obtained based on the grid voltage volatility and the battery power volatility, and a corresponding inverter switching frequency adjustment step is preset in the database. For example, through analysis, it is found that the current inverter switching frequency results in a low power conversion efficiency and causes a certain interference to the power grid, while the third adjustment value of the inverter switching frequency indicates that the switching frequency needs to be increased to improve this situation. Therefore, based on the current inverter switching frequency, the system gradually increases the inverter switching frequency according to the inverter switching frequency adjustment step, and monitors the changes in the grid voltage volatility and the battery power volatility each time it is increased. After this adjustment, if it is found that the grid voltage volatility and the battery power volatility change in a stable direction, it indicates that this adjustment has played a positive role, and whether to continue the adjustment can be determined according to the actual situation in the future.

[0119] Perform progressive fluctuation optimization adjustment on the inverter switching frequency based on the current inverter PWM duty cycle, the third adjustment value of the inverter PWM duty cycle, and the inverter PWM duty cycle adjustment step.

[0120] In a specific embodiment, it is assumed that for the mobile emergency power virtual energy storage unit in the protection mode, the current inverter switching frequency and PWM duty cycle are already in a given state. Through the analysis of the grid voltage volatility and the battery power volatility, the third adjustment value of the inverter PWM duty cycle is obtained, and at the same time, an inverter PWM duty cycle adjustment step is preset in the system. For example, currently, the system finds that the electrical energy output during battery discharge cannot effectively meet the load demand, and the third adjustment value of the inverter PWM duty cycle calculated shows that the PWM duty cycle needs to be increased. The system starts from the current inverter PWM duty cycle and increases the PWM duty cycle according to the adjustment step. After this adjustment is completed, observe the changes in the discharge performance parameters such as the battery output voltage, the load power factor, and the energy conversion efficiency. If it is found that the discharge performance has improved, it means that this adjustment of the inverter PWM duty cycle helps to optimize the system performance, and whether to continue the adjustment can be further determined according to the actual effect in the future.

[0121] In this embodiment, after performing progressive fluctuation optimization adjustment on the inverter switching frequency based on the current inverter PWM duty cycle, the third adjustment value of the inverter PWM duty cycle, and the inverter PWM duty cycle adjustment step, analyze the results of the progressive fluctuation optimization adjustment to determine the operating mode of the mobile emergency power virtual energy storage unit. The specific analysis steps are as follows:

[0122] Obtain the grid voltage volatility and the battery power volatility before the adjustment each time after the adjustment is completed, and collect the grid voltage volatility and the battery power volatility after the adjustment.

[0123] It should be added that the completion of one-time adjustment means that both the inverter switching frequency and the inverter PWM duty cycle are completed in one time.

[0124] Subtract the grid voltage volatility after adjustment from the grid voltage volatility before adjustment to obtain the change in grid voltage volatility.

[0125] Subtract the battery power volatility after adjustment from the battery power volatility before adjustment to obtain the change in battery power volatility.

[0126] If the change in grid voltage volatility for a certain adjustment is not greater than zero or the change in battery power volatility is not greater than zero, then record the progressive fluctuation optimization adjustment result as an invalid adjustment, stop the progressive fluctuation optimization adjustment, and record the operation mode of the mobile emergency power virtual energy storage unit as the protection mode.

[0127] If the change in grid voltage volatility is greater than zero and the change in grid voltage volatility is greater than zero, then record the progressive fluctuation optimization adjustment result as a valid adjustment, and thus continue the progressive fluctuation optimization adjustment until within the preset second duration, the grid voltage volatility is less than the first threshold of grid voltage volatility and the battery power volatility is less than the first threshold of battery power volatility. Then, re-obtain the battery state parameters and grid load parameters of the new energy vehicle to re-analyze the energy interaction evaluation value, and re-determine the working mode of the mobile emergency power virtual energy storage unit according to the re-analyzed energy interaction evaluation value.

[0128] In this embodiment, re-determine the working mode of the mobile emergency power virtual energy storage unit according to the re-analyzed energy interaction evaluation value, and the specific analysis process is as follows:

[0129] Extract the preset energy interaction evaluation verification value in the database.

[0130] If the energy interaction evaluation value is less than the energy interaction evaluation verification value, then determine the working mode of the mobile emergency power virtual energy storage unit as the first grid interaction mode.

[0131] If the energy interaction evaluation value is greater than the energy interaction evaluation verification value, then determine the working mode of the mobile emergency power virtual energy storage unit as the emergency power supply mode.

[0132] After that, perform control according to the control method after determining the working mode of the mobile emergency power virtual energy storage unit as the first grid interaction mode or the emergency power supply mode in the above text.

[0133] By applying the technical solution of this embodiment, it has at least the following technical effects or advantages:

[0134] 1. The reverse discharge control method of the virtual energy storage unit of the new energy vehicle mobile emergency power supply provided by the present invention improves the flexibility and reliability of power supply. When the power grid is stable, it can accurately switch to the power grid interaction mode, realize the two-way and efficient electric energy interaction between the new energy vehicle and the power grid, optimize the power grid load, improve the energy utilization efficiency. In case of abnormal power grid, it can quickly switch to the emergency power supply mode to stably supply power to key equipment and places. The continuous adaptive optimization of the discharge efficiency ensures efficient power supply in different working modes and reduces energy loss. The progressive fluctuation optimization regulation enables the system to operate stably under complex conditions, effectively enhancing the adaptability of the power system to various scenarios.

[0135] 2. By determining the working mode based on the energy interaction evaluation value, the present invention can accurately match the operating states of the virtual energy storage unit of the new energy vehicle mobile emergency power supply and the power grid, realizing the efficient utilization and reasonable distribution of electric energy. When the energy interaction evaluation value is less than the lower limit value of the energy interaction evaluation verification interval, it is determined as the power grid interaction mode, and two-way electric energy interaction is carried out with the power grid to supplement power, balance the power grid load and optimize its own power reserve, improving the stability and economy of the power grid operation. When the energy interaction evaluation value is greater than the upper limit value of the energy interaction evaluation verification interval, it is determined as the emergency power supply mode, and electric energy is quickly output to ensure the normal operation of important loads, relieve the power supply crisis, maintain social order and ensure personnel safety, avoiding negative impacts on the power grid and equipment due to improper mode selection, and improving the ability of the power system to handle complex situations.

[0136] 3. Through the adaptive optimization of the discharge efficiency, the present invention can accurately adjust the relevant parameters of the inverter according to different working modes of the virtual energy storage unit of the mobile emergency power supply, realizing the efficient utilization of energy and stable power supply. In the power grid interaction mode, the switching frequency of the inverter is adjusted. In the emergency power supply mode, the PWM duty cycle of the inverter is adjusted to ensure stable power supply to important loads in the emergency scenario, avoiding energy waste and equipment damage, and improving the power supply performance and energy utilization rate of the virtual energy storage unit of the mobile emergency power supply in different scenarios.

[0137] The embodiments of the present application also provide a computer device, which may specifically be a personal computer, a server, a network device, etc. The computer device includes a bus, a processor, a memory, and a communication interface, and may further include an input / output interface and a display device. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store location information. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the steps in the method embodiments are implemented.

[0138] Those skilled in the art can understand that the structure of the above computer device is only a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components, or combine certain components, or have different component arrangements.

[0139] In one embodiment, a computer-readable storage medium is provided. The computer-readable storage medium may be non-volatile or volatile, and stores a computer program. When the computer program is executed by the processor, the steps in the above method embodiments are implemented.

[0140] In one embodiment, a computer program product is provided, including a computer program. When the computer program is executed by the processor, the steps in the above method embodiments are implemented.

[0141] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or fully authorized by all parties.

[0142] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memories. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in the present application can be general-purpose processors, graphics processors, digital signal processors, programmable logics, data processing logics based on quantum computing, etc., without limitation.

[0143] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0144] The above-described embodiments merely represent several implementation manners of the present application. The description is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A method for controlling reverse discharge of a virtual energy storage unit of a mobile emergency power supply for a new energy vehicle, characterized in that: include: Within a preset monitoring period, obtaining battery status parameters and grid load parameters of the new energy vehicle, analyzing an energy interaction evaluation value based on the battery status parameters and the grid load parameters, and determining that an initial operation mode determination result of the mobile emergency power supply virtual energy storage unit is a first determination result when the energy interaction evaluation value exceeds a preset energy interaction evaluation verification interval; otherwise, determining that the initial operation mode determination result of the mobile emergency power supply virtual energy storage unit is a second determination result; If the initial operation mode determination result is the first determination result, the operation mode of the mobile emergency power supply virtual energy storage unit is determined based on the energy interaction evaluation value to determine whether the mobile emergency virtual energy storage unit is in the first grid interaction mode or the emergency power supply mode; If the initial operation mode determination result is the second determination result, the fluctuation parameter within the preset monitoring period is obtained, and the operation mode of the mobile emergency power supply virtual energy storage unit is determined to determine whether the mobile emergency power supply virtual energy storage unit is the second grid interaction mode or the protection mode; Controlling the mobile emergency power supply virtual energy storage unit according to the result of determining the working mode of the mobile emergency power supply virtual energy storage unit; The battery status parameters include battery power consumption rate and battery temperature extreme value difference, and the grid load parameters include grid voltage fluctuation and average load power; Analyze energy interaction evaluation values based on battery status parameters and grid load parameters, including: Calculating the ratios of the battery power consumption rate and the battery temperature extreme value difference to corresponding reference values, performing a weighted sum calculation on the obtained first ratio calculation results and corresponding weight values to determine a weighted result, and determining a battery status parameter evaluation result based on the weighted result; Calculate the ratio of the grid voltage fluctuation and the average load power to the corresponding reference values respectively, and perform weighted sum calculation on the obtained second ratio calculation result and the corresponding weight value to obtain the grid load parameter evaluation result; The energy interaction evaluation value is determined based on the battery status parameter evaluation results and the grid load parameter evaluation results.

2. The method for controlling reverse discharge of a virtual energy storage unit of a mobile emergency power supply for a new energy vehicle according to claim 1, wherein: The working mode of the mobile emergency power supply virtual energy storage unit is determined based on the energy interaction evaluation value, including: Obtaining the upper limit value and the lower limit value of the energy interaction evaluation verification interval; If the energy interaction evaluation value is less than the lower limit of the energy interaction evaluation verification interval, the operating mode of the mobile emergency power supply virtual energy storage unit is determined to be the first grid interaction mode; If the energy interaction evaluation value is greater than the upper limit value of the energy interaction evaluation verification interval, the working mode of the mobile emergency power supply virtual energy storage unit is determined to be the emergency power supply mode.

3. The method for controlling reverse discharge of a virtual energy storage unit of a mobile emergency power supply for a new energy vehicle according to claim 2, wherein: The fluctuation parameters include grid voltage fluctuation rate and battery power fluctuation rate; Determining the working mode of the mobile emergency power supply virtual energy storage unit to determine whether the mobile emergency power supply virtual energy storage unit is in the second grid interaction mode or the protection mode includes: Extracting reference fluctuation parameters stored in a database, the reference fluctuation parameters including a reference grid voltage fluctuation rate and a reference battery power fluctuation rate; Calculate the ratio of the grid voltage volatility to the reference grid voltage volatility to determine the grid voltage fluctuation factor, and calculate the ratio of the battery power volatility to the reference battery power volatility to determine the battery power fluctuation factor; perform a weighted calculation on the grid voltage fluctuation factor and the battery power fluctuation factor to determine the energy interaction fluctuation factor; Extract the preset energy interaction fluctuation verification factor in the database; If the energy interaction fluctuation factor is less than the energy interaction fluctuation verification factor, determine the operating mode of the mobile emergency power virtual energy storage unit as the second grid interaction mode, otherwise determine the operating mode of the mobile emergency power virtual energy storage unit as the protection mode.

4. The reverse discharge control method for the virtual energy storage unit of the new energy vehicle mobile emergency power supply according to claim 3, wherein After determining the operating mode of the mobile emergency power virtual energy storage unit as the second grid interaction mode, it further includes: Collect the grid voltage volatility and the battery power volatility within the preset first monitoring time window; Extract the first threshold of the grid voltage volatility and the first threshold of the battery power volatility preset in the database; If the grid voltage volatility is not less than the first threshold of the grid voltage volatility and / or the battery power volatility is not less than the first threshold of the battery power volatility, switch the mobile emergency power virtual energy storage unit from the second grid interaction mode to the protection mode; If the grid voltage volatility is less than the first threshold of the grid voltage volatility and the battery power volatility is less than the first threshold of the battery power volatility, obtain the first deviation rate of the grid voltage fluctuation based on the grid voltage volatility and the first threshold of the grid voltage volatility, and obtain the first deviation rate of the battery power fluctuation based on the battery power volatility and the first threshold of the battery power volatility; Extract the first adjustment value of the inverter switching frequency based on the first deviation rate of the grid voltage fluctuation, and extract the first adjustment value of the inverter PWM duty cycle based on the first deviation rate of the battery power fluctuation; In the mobile emergency power system, obtain the current inverter switching frequency and the current inverter PWM duty cycle; Adjust the inverter switching frequency based on the current inverter switching frequency and the first adjustment value of the inverter switching frequency, and adjust the inverter PWM duty cycle based on the current inverter PWM duty cycle and the first adjustment value of the inverter PWM duty cycle; After the adjustment of the inverter switching frequency and the inverter PWM duty cycle is completed, re-obtain the grid voltage volatility and the battery power volatility; If the re-obtained grid voltage volatility is greater than or equal to the first threshold of the grid voltage volatility, and the battery power volatility is greater than or equal to the first threshold of the battery power volatility, switch the mobile emergency power virtual energy storage unit from the second grid interaction mode to the protection mode; If the re-obtained grid voltage volatility is less than the first threshold of the grid voltage volatility and the battery power volatility is less than the first threshold of the battery power volatility, switch the mobile emergency power virtual energy storage unit from the second grid interaction mode to the first grid interaction mode.

5. The reverse discharge control method for the virtual energy storage unit of the new energy vehicle mobile emergency power supply according to claim 1, characterized in that, Control the mobile emergency power virtual energy storage unit according to the determination result of the operating mode of the mobile emergency power virtual energy storage unit, including: When the operating mode of the virtual energy storage unit of the mobile emergency power supply is the first grid interaction mode or the emergency power supply mode, collect the discharge efficiency parameters, and analyze the discharge efficiency evaluation value of the virtual energy storage unit of the mobile emergency power supply according to the discharge efficiency parameters. The discharge efficiency parameters include the battery output voltage, the load power factor, and the energy conversion efficiency; Extract the preset discharge efficiency evaluation verification value in the database; According to the discharge efficiency evaluation value and the discharge efficiency evaluation verification value, obtain the discharge efficiency evaluation deviation value of the virtual energy storage unit of the mobile emergency power supply; Based on the discharge efficiency evaluation deviation value of the virtual energy storage unit of the mobile emergency power supply, extract the second adjustment value of the inverter switching frequency and the second adjustment value of the inverter PWM duty cycle; If the operating mode of the virtual energy storage unit of the mobile emergency power supply is the first grid interaction mode, obtain the current inverter switching frequency, and adjust the inverter switching frequency according to the current inverter switching frequency and the second adjustment value of the inverter switching frequency, thereby performing adaptive optimization of the discharge efficiency; If the operating mode of the virtual energy storage unit of the mobile emergency power supply is the emergency power supply mode, obtain the current inverter PWM duty cycle, and adjust the inverter PWM duty cycle according to the current inverter PWM duty cycle and the second adjustment value of the inverter PWM duty cycle, thereby performing adaptive optimization of the discharge efficiency.

6. The reverse discharge control method for the virtual energy storage unit of the new energy vehicle mobile emergency power supply according to claim 5, characterized in that, Analyzing the discharge efficiency evaluation value of the virtual energy storage unit of the mobile emergency power supply according to the discharge efficiency parameters includes: Calculate the ratio of the battery output voltage to the reference battery output voltage to determine the battery output voltage efficiency evaluation value, calculate the ratio of the load power factor to the reference load power factor to determine the load power factor efficiency evaluation value, calculate the ratio of the energy conversion efficiency to the reference energy conversion efficiency to determine the energy conversion efficiency evaluation value; determine the discharge efficiency evaluation value of the virtual energy storage unit of the mobile emergency power supply according to the battery output voltage efficiency evaluation value, the load power factor efficiency evaluation value, and the energy conversion efficiency evaluation value.

7. The method for controlling reverse discharge of a virtual energy storage unit of a mobile emergency power supply for a new energy vehicle according to claim 1, wherein: Controlling the virtual energy storage unit of the mobile emergency power supply according to the determination result of the operating mode of the virtual energy storage unit of the mobile emergency power supply includes: When the virtual energy storage unit of the mobile emergency power supply is in the protection mode, obtain the fluctuation parameters again. The fluctuation parameters include the grid voltage fluctuation rate and the battery power fluctuation rate; Extract the second threshold of the grid voltage fluctuation rate and the second threshold of the battery power fluctuation rate preset in the database; If within the preset first duration in the database, the grid voltage fluctuation rate is continuously less than the second threshold of the grid voltage fluctuation rate and the battery power fluctuation rate is continuously less than the second threshold of the battery power fluctuation rate, then subtract the grid voltage fluctuation rate from the second threshold of the grid voltage fluctuation rate to obtain the second deviation rate of the grid voltage fluctuation, and subtract the battery power fluctuation rate from the second threshold of the battery power fluctuation rate to obtain the second deviation rate of the battery power fluctuation; Extract the third adjustment value of the inverter switching frequency and the third adjustment value of the inverter PWM duty cycle stored in the database; Extract the adjustment step of the inverter switching frequency and the adjustment step of the inverter PWM duty cycle preset in the database; Obtain the current inverter switching frequency and the current inverter PWM duty cycle; Performing progressive fluctuation optimization adjustment on the inverter switching frequency based on the current inverter switching frequency, the third adjustment value of the inverter switching frequency, and the inverter switching frequency adjustment step; The inverter switching frequency is progressively fluctuated and optimized based on the current inverter PWM duty cycle, the third inverter PWM duty cycle adjustment value, and the inverter PWM duty cycle adjustment step.

8. The reverse discharge control method for the virtual energy storage unit of the new energy vehicle mobile emergency power supply according to claim 7, wherein, After performing progressive fluctuation optimization adjustment on the inverter switching frequency based on the current inverter PWM duty cycle, the third inverter PWM duty cycle adjustment value, and the inverter PWM duty cycle adjustment step, the method further includes: After each adjustment is completed, the grid voltage fluctuation rate and battery power fluctuation rate before adjustment are obtained, and the grid voltage fluctuation rate and battery power fluctuation rate after adjustment are collected; The grid voltage fluctuation rate is subtracted from the grid voltage fluctuation rate after adjustment to obtain a grid voltage fluctuation rate change, and the battery power fluctuation rate is subtracted from the battery power fluctuation rate before adjustment to obtain a battery power fluctuation rate change; If at least one of the following conditions is met: the grid voltage fluctuation rate change is not greater than zero and the battery power fluctuation rate change is not greater than zero, the result of the progressive fluctuation optimization adjustment is recorded as invalid adjustment, the progressive fluctuation optimization adjustment is stopped, and the operation mode of the mobile emergency power supply virtual energy storage unit is recorded as protection mode; If the change in the grid voltage fluctuation rate of any adjustment is greater than zero and the change in the grid voltage fluctuation rate is greater than zero, the result of the progressive fluctuation optimization adjustment will be recorded as an effective adjustment, and the progressive fluctuation optimization adjustment will continue until the grid voltage fluctuation rate is less than the first threshold value of the grid voltage fluctuation rate and the battery power fluctuation rate is less than the first threshold value of the battery power fluctuation rate within the preset second duration, and the battery status parameters and grid load parameters of the new energy vehicle are re-obtained to re-analyze the energy interaction evaluation value, and the working mode of the mobile emergency power supply virtual energy storage unit is re-determined based on the re-analyzed energy interaction evaluation value.

9. The reverse discharge control method for the virtual energy storage unit of the new energy vehicle mobile emergency power supply according to claim 8, wherein Re-determine the working mode of the mobile emergency power supply virtual energy storage unit based on the re-analyzed energy interaction evaluation value, including: Extracting the energy interaction assessment verification value preset in the database; If the re-analyzed energy interaction evaluation value is less than the energy interaction evaluation verification value, the operating mode of the mobile emergency power supply virtual energy storage unit is determined to be the first grid interaction mode; If the re-analyzed energy interaction evaluation value is greater than the energy interaction evaluation verification value, the working mode of the mobile emergency power supply virtual energy storage unit is determined to be the emergency power supply mode.

Images