A slow-charging fast-discharging type charging pile energy storage method, system, medium and program product

Abstract

A slow charging and fast discharging type charging pile energy storage method, system, medium and program product, in the method, in the case where it is determined that the power grid fluctuates, the charging piles in slow charging, full-electric charging piles and charging piles in fast discharging are determined; the charging piles to be charged in slow charging, the idle full-electric charging piles in full-electric charging piles and the adjustable fast discharging charging piles in fast discharging are determined respectively; it is judged whether there is an idle full-electric charging pile connected with the charging pile to be charged; if there is no idle full-electric charging pile connected with the charging pile to be charged, it is judged whether there is an adjustable fast discharging charging pile connected with the charging pile to be charged; if there is an adjustable fast discharging charging pile connected with the charging pile to be charged, the recommended score of each adjustable fast discharging charging pile is determined; the adjustable fast discharging charging pile with the highest recommended score is controlled to charge the charging pile to be charged. The application improves the efficiency of charging pile energy storage when the power grid fluctuates.

Description

Technical Field

[0001] This application belongs to the field of electronic digital data processing, and in particular relates to a method, system, medium and program product for energy storage of slow-charging and fast-discharging charging piles. Background Technology

[0002] The slow-charging, fast-discharging charging pile energy storage method is a technology designed to optimize the charging efficiency of electric vehicles. This technology provides fast charging services for electric vehicles by charging them at a low speed during periods of low electricity prices or low grid load, and then discharging them at a high speed when needed. This method not only balances grid load but also improves the utilization rate of charging infrastructure.

[0003] In related technologies, EMS can be used to monitor the operating status of energy storage systems and charging piles in real time, including parameters such as battery charge, voltage, current, and temperature. Based on historical and real-time data, future electricity demand and battery status can be predicted, charging and discharging strategies can be optimized, and finally, charging and discharging times can be dynamically adjusted according to changes in grid load and electricity prices.

[0004] However, if the power grid to which the charging station is connected experiences fluctuations, the voltage fluctuations will cause instability in the slow charging voltage, thus affecting the slow charging efficiency. Furthermore, power grid fluctuations may overload the charging station, leading to damage or triggering protection mechanisms. In summary, the relevant technologies suffer from reduced energy storage efficiency of charging stations when the power grid fluctuates. Summary of the Invention

[0005] This application provides a method, system, medium, and program product for slow-charging and fast-discharging energy storage of charging piles, which can improve the efficiency of energy storage of charging piles when there are fluctuations in the power grid.

[0006] In the first aspect, this application provides a method for energy storage of slow-charging and fast-discharging charging piles, which, under the condition that the power grid is fluctuating, identifies charging piles that are slow-charging, fully charged, and fast-discharging.

[0007] The following are defined: charging piles in slow charging, idle fully charged charging piles in fully charged charging piles, and adjustable fast-discharge charging piles in fast-discharge charging piles. Charging piles in slow charging are those with remaining power less than a first power threshold. Idle fully charged charging piles are those with no charging task within a preset time period. Adjustable fast-discharge charging piles are those with remaining power greater than a second power threshold. The second power threshold is greater than the first power threshold.

[0008] Determine if there is an available fully charged charging station connected to the charging station to be charged;

[0009] If there is no available fully charged charging station connected to the charging station to be charged, then determine whether there is an adjustable fast-discharge charging station connected to the charging station to be charged.

[0010] If there is an adjustable fast-discharge charging station connected to the charging station to be charged, then determine the recommended score for each adjustable fast-discharge charging station.

[0011] Control the adjustable fast-discharge charging pile with the highest recommended score to charge the charging pile to be charged.

[0012] By adopting the above technical solution, it is possible to effectively identify and distinguish charging piles in slow charging, fully charged charging piles, and fast-discharging charging piles under grid fluctuations, providing an accurate classification basis for subsequent charging strategies. Secondly, by further subdividing charging piles in slow charging (pending charging), fully charged charging piles (idle fully charged charging piles), and fast-discharging charging piles (adjustable fast-discharging charging piles), the method can more accurately select charging piles suitable for participating in charging scheduling, improving charging efficiency. Furthermore, the method first determines whether there is an idle fully charged charging pile connected to a charging pile awaiting charging. If not, it then determines whether there is an adjustable fast-discharging charging pile connected to the charging pile awaiting charging. This reflects the priority of the charging strategy: prioritizing the use of idle fully charged charging piles, and then considering adjustable fast-discharging charging piles, thereby minimizing the impact on charging piles performing fast charging tasks while ensuring charging effectiveness. Finally, by calculating the recommended score for each adjustable fast-discharge charging station and controlling the adjustable fast-discharge charging station with the highest recommended score to charge the charging station to be charged, the optimal combination of charging stations can be selected. This improves charging efficiency while also ensuring load balance among the charging stations and extending their service life.

[0013] In conjunction with some embodiments of the first aspect, in some embodiments, if there is an adjustable fast-discharge charging station connected to the charging station to be charged, a recommended score is determined for each adjustable fast-discharge charging station, specifically including:

[0014] If there is an adjustable fast-discharge charging station connected to the charging station to be charged, then determine the real-time power and real-time charging task of each adjustable fast-discharge charging station.

[0015] The power score for each adjustable fast-discharge charging station is determined based on the real-time power level. The power score is either the first score or the second score.

[0016] The charging task score for each adjustable fast-discharge charging station is determined based on the real-time charging task, and the charging task score is either the third score or the fourth score.

[0017] The distance score for each adjustable fast-discharge charging station is determined based on the connection distance to the charging station to be charged. The distance score is either the fifth score or the sixth score.

[0018] The corresponding recommended score is calculated using a weighted average algorithm based on the battery score, charging task score, and distance score of each adjustable fast-discharge charging station.

[0019] By adopting the above technical solution, the real-time power level and real-time charging task of each adjustable fast-discharge charging station are obtained, providing a crucial data foundation for subsequent scoring calculations. Secondly, a power score is determined based on the real-time power level, a charging task score based on the real-time charging task, and a distance score based on the connection distance to the charging station. This fully considers multiple key factors influencing charging station selection, making the scoring results more comprehensive and objective. Furthermore, reasonable interval divisions and corresponding scores are set for the power score, charging task score, and distance score. For example, the power score is divided into first and second scores, the charging task score into third and fourth scores, and the distance score into fifth and sixth scores. This score setting can quantitatively assess the influence of each factor, laying the foundation for the final comprehensive score. Finally, a weighted average algorithm is used to calculate the comprehensive recommendation score. By reasonably assigning different weights to each score, a comprehensive evaluation result that takes into account multiple factors such as power level, charging task, and distance can be obtained, thereby selecting the optimal adjustable fast-discharge charging station.

[0020] In conjunction with some embodiments of the first aspect, in some embodiments, the power score of each adjustable fast-discharge charging station is determined based on the real-time power level, wherein the power score is a first score or a second score, specifically including:

[0021] When the real-time power of the adjustable fast-release charging pile is within the preset first range, the power score of the adjustable fast-release charging pile is determined as the first score.

[0022] When the real-time power of the adjustable fast-release charging pile is within the preset second range, the power score of the adjustable fast-release charging pile is determined as the second score. The power of the preset first range is not less than the power of the preset second range, and the first score is greater than the second score.

[0023] By adopting the above technical solution, and setting preset first and second intervals, the real-time power level of the adjustable fast-release charging pile is divided into two levels, corresponding to different power scores, namely the first score and the second score. This interval division method can more meticulously evaluate the power status of the charging pile and provide a more refined distinction between power levels. Secondly, the power level of the preset first interval is not less than that of the preset second interval, and the first score is greater than the second score. This setting conforms to the objective law that the higher the power level, the more power is available for scheduling, making the assignment of power scores more reasonable and accurate. Furthermore, by subdividing the power levels and differentiating the scores, the scheduling priority of the charging pile under different power levels can be better reflected, providing more targeted power factor influences for comprehensive scoring. Finally, the reasonable setting of power scores, together with charging task scores and distance scores, constitutes a comprehensive and balanced evaluation system, enabling the finally selected adjustable fast-release charging piles to achieve an optimal balance in multiple aspects such as power level, task, and location.

[0024] In conjunction with some embodiments of the first aspect, in some embodiments, the charging task score of each adjustable fast-discharge charging station is determined according to the real-time charging task, and the charging task score is a third score or a fourth score, specifically including:

[0025] When the remaining time of the real-time charging task of the adjustable fast-release charging pile is less than the preset time, the charging task score of the adjustable fast-release charging pile is determined as the third score.

[0026] If the remaining time of the real-time charging task of the adjustable fast-release charging pile is not less than the preset time, the charging task score of the adjustable fast-release charging pile is determined to be the fourth score, and the third score is greater than the fourth score.

[0027] By adopting the above technical solution, the remaining time of the real-time charging task of the adjustable fast-release charging pile is determined to be less than the preset time. The task status of the charging pile is divided into two situations, corresponding to different charging task scores, namely the third score and the fourth score. This division method can clearly distinguish the task saturation level of the charging pile, providing a clear judgment basis for assigning the charging task score. Secondly, when the remaining time is less than the preset time, it means that the current task of the charging pile is about to be completed and can be quickly put into new charging scheduling, thus corresponding to a higher third score; while when the remaining time is not less than the preset time, it means that the current task of the charging pile still needs a long time to finish, and the flexibility available for scheduling is relatively low, thus corresponding to a lower fourth score. This score setting is in line with the actual situation and can reasonably reflect the impact of the task status of the charging pile on its scheduleability. Furthermore, by dividing the charging task status into two categories and setting differentiated scores, the scheduling priority of the charging pile under different task saturation levels can be better reflected, providing more targeted task factor influences for comprehensive scoring. Finally, the reasonable setting of the charging task score, together with the power score and distance score, constitutes a comprehensive and balanced evaluation system, enabling the final selected adjustable fast-discharge charging pile to achieve an optimal balance in terms of task saturation, power level, and location convenience.

[0028] In conjunction with some embodiments of the first aspect, in some embodiments, a distance fraction is determined for each adjustable fast-discharge charging station based on the connection distance to the charging station to be charged. This distance fraction is either a fifth fraction or a sixth fraction, specifically including:

[0029] When the connection distance of the adjustable fast-release charging pile is less than the preset distance, the distance score of the adjustable fast-release charging pile is determined to be the fifth score.

[0030] When the connection distance of the adjustable fast-release charging pile is not less than the preset distance, the distance score of the adjustable fast-release charging pile is determined to be the sixth score, and the fifth score is greater than the sixth score.

[0031] By employing the aforementioned technical solution, the connection distance between the adjustable fast-release charging pile and the charging pile to be charged is determined to be less than a preset distance. This divides the location relationship of the charging piles into two cases, corresponding to different distance scores: a fifth score and a sixth score. This division clearly distinguishes the location advantages and disadvantages of charging piles, providing a clear basis for assigning distance scores. Secondly, when the connection distance is less than the preset distance, it indicates that the charging pile and the charging pile to be charged are relatively close, resulting in less charging line loss and higher transmission efficiency, thus corresponding to a higher fifth score. Conversely, when the connection distance is not less than the preset distance, it indicates that the charging pile and the charging pile to be charged are relatively far apart, resulting in greater charging line loss and lower transmission efficiency, thus corresponding to a lower sixth score. This score setting aligns with reality and reasonably reflects the impact of the location advantages and disadvantages of the charging piles on their scheduling priority. Furthermore, by using a binary judgment of the location relationship and differentiating scores, the scheduling priority of charging piles at different distances can be better reflected, providing a more targeted indication of the distance factor's influence on the comprehensive scoring. Finally, the reasonable setting of the distance score, together with the power score and the charging task score, constitutes a comprehensive and balanced evaluation system, which enables the finally selected adjustable fast-discharge charging pile to achieve an optimal balance in terms of location convenience, power level and task saturation.

[0032] In conjunction with some embodiments of the first aspect, in some embodiments, after controlling the adjustable fast-discharge charging pile with the highest recommended score to charge the charging pile to be charged, the method further includes:

[0033] If there is an available fully charged charging station connected to the charging station to be charged, then determine whether each available fully charged charging station has a scheduled charging task.

[0034] If there is a scheduled charging task, the available fully charged charging piles corresponding to the scheduled charging task will be identified as temporarily available fully charged charging piles, and the available fully charged charging piles without scheduled charging tasks will be identified as truly available fully charged charging piles.

[0035] Determine the remaining operating time of the temporarily idle fully charged charging station;

[0036] The remaining time score for each temporarily idle fully charged charging station is determined based on the remaining activation time. The remaining time score is either the seventh or eighth score, with the seventh score being greater than the eighth score.

[0037] Based on the connection distance to the charging pile to be charged, determine the distance score for each temporarily idle fully charged charging pile and each actually idle fully charged charging pile. The distance score is either the ninth score or the tenth score, with the ninth score being greater than the tenth score.

[0038] The weighted average algorithm is used to calculate the recommended score for each temporarily idle fully charged charging station and each actually idle fully charged charging station.

[0039] Control the charging pile with the highest recommended score to charge the charging pile to be charged.

[0040] By employing the aforementioned technical solution, the method determines whether each idle fully charged charging station has a scheduled charging task, classifying idle fully charged charging stations into two categories: temporarily idle fully charged charging stations and truly idle fully charged charging stations. This provides a more detailed classification basis for subsequent charging station selection. Secondly, for temporarily idle fully charged charging stations, the method further determines their remaining operating time and assigns a corresponding remaining time score, i.e., the seventh or eighth score, based on the remaining operating time. This approach allows for a more precise assessment of the available time window of temporarily idle fully charged charging stations, providing a more accurate time factor influence for the comprehensive scoring. Furthermore, for both temporarily idle and truly idle fully charged charging stations, the method determines a corresponding distance score, i.e., the ninth or tenth score, based on the connection distance to the charging station to be charged, and calculates the comprehensive recommendation score for each charging station using a weighted average algorithm. This scoring mechanism, while considering the time factor, also fully considers the influence of the distance factor, resulting in a more comprehensive and balanced scoring result. Finally, by controlling the charging pile with the highest recommended score to charge the charging pile to be charged, the optimal combination of charging piles can be selected from multiple idle and fully charged charging piles, so as to maximize charging efficiency and resource utilization while ensuring charging effect.

[0041] In conjunction with some embodiments of the first aspect, in some embodiments, when it is determined that a power grid fluctuation has occurred, specifically including:

[0042] Real-time acquisition of grid voltage monitored by voltage sensors;

[0043] Determine the power grid frequency based on the frequency meter and the power grid voltage;

[0044] A power grid fluctuation is determined when the change in power grid frequency exceeds a preset threshold.

[0045] By adopting the above technical solution, the grid voltage monitored by the voltage sensor is acquired in real time, providing a crucial data foundation for subsequent grid frequency calculation. The voltage sensor can monitor grid voltage changes in real time and accurately, ensuring data reliability and timeliness. Secondly, determining the grid frequency based on the frequency meter and grid voltage conforms to the physical laws of the power system and accurately reflects the real-time operating status of the grid. Frequency, as an important indicator of grid stability, directly affects whether grid fluctuations occur. Furthermore, by judging whether the change in grid frequency exceeds a preset threshold, grid fluctuations can be determined efficiently and accurately. The preset threshold can be reasonably adjusted according to the actual operating conditions and stability requirements of the grid, making fluctuation judgment more flexible and applicable. Finally, in the event of grid fluctuations, the subsequent charging pile classification and charging scheduling process is triggered, enabling the entire energy storage method to respond to grid fluctuations in a timely and effective manner, leveraging the peak-shaving and frequency-regulating functions of charging piles, and improving the stability and reliability of the grid.

[0046] Secondly, embodiments of this application provide a slow-charging, fast-discharging charging pile energy storage system, which includes: one or more processors and a memory; the memory is coupled to one or more processors, and the memory is used to store computer program code, the computer program code including computer instructions, and one or more processors call the computer instructions to cause the system to perform the method described in the first aspect and any possible implementation thereof.

[0047] Thirdly, embodiments of this application provide a computer-readable storage medium including instructions that, when executed on a system, cause the system to perform the method described in the first aspect and any possible implementation thereof.

[0048] Fourthly, embodiments of this application provide a computer program product, characterized in that, when the computer program product is run on a system, it causes the system to execute the method described in any possible implementation of the first aspect.

[0049] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0050] 1. This application provides a slow-charging, fast-discharging energy storage method for charging piles. This method can effectively identify and distinguish between charging piles undergoing slow charging, fully charged charging piles, and fast-discharging charging piles when the power grid fluctuates, providing an accurate classification basis for subsequent charging strategies. Secondly, by further subdividing charging piles into those awaiting charging (slow charging), idle fully charged charging piles (fully charged), and adjustable fast-discharging charging piles (fast-discharging), the method can more accurately select charging piles suitable for participating in charging scheduling, improving charging efficiency. Furthermore, the method first determines whether there is an idle fully charged charging pile connected to the charging pile awaiting charging. If not, it then determines whether there is an adjustable fast-discharging charging pile connected to the charging pile awaiting charging. This reflects the priority of the charging strategy, prioritizing the use of idle fully charged charging piles and then considering adjustable fast-discharging charging piles, thereby minimizing the impact on charging piles performing fast charging tasks while ensuring charging effectiveness. Finally, by calculating the recommended score for each adjustable fast-discharge charging station and controlling the adjustable fast-discharge charging station with the highest recommended score to charge the charging station to be charged, the optimal combination of charging stations can be selected. This improves charging efficiency while also ensuring load balance among the charging stations and extending their service life.

[0051] 2. This application provides a method for energy storage in slow-charging and fast-discharging charging piles, acquiring the real-time power and charging task of each adjustable fast-discharging charging pile, providing a crucial data foundation for subsequent scoring calculations. Secondly, a power score is determined based on the real-time power, a charging task score based on the real-time charging task, and a distance score based on the connection distance to the charging pile, fully considering multiple key factors influencing charging pile selection, making the scoring results more comprehensive and objective. Furthermore, reasonable interval divisions and corresponding scores are set for the power score, charging task score, and distance score. For example, the power score is divided into first and second scores, the charging task score into third and fourth scores, and the distance score into fifth and sixth scores. This score setting can quantitatively assess the influence of each factor, laying the foundation for the final comprehensive score. Finally, a weighted average algorithm is used to calculate the comprehensive recommendation score. By reasonably assigning different weights to each score, a comprehensive evaluation result that considers multiple factors such as power, charging task, and distance can be obtained, thereby selecting the optimal adjustable fast-discharging charging pile.

[0052] 3. This application provides a slow-charging, fast-discharging energy storage method for charging piles. It determines whether each idle, fully charged charging pile has a scheduled charging task and categorizes idle fully charged charging piles into two types: temporarily idle and truly idle. This provides a more detailed classification basis for subsequent charging pile selection. Secondly, for temporarily idle fully charged charging piles, the method further determines their remaining operating time and assigns a corresponding remaining time score (seventh or eighth score) based on this remaining operating time. This approach allows for a more precise assessment of the available time window of temporarily idle fully charged charging piles, providing a more accurate time factor influence for the comprehensive score. Furthermore, for both temporarily idle and truly idle fully charged charging piles, the method determines a corresponding distance score (ninth or tenth score) based on the connection distance to the charging pile to be charged, and calculates the comprehensive recommendation score for each charging pile using a weighted average algorithm. This scoring mechanism considers both time and distance factors, resulting in a more comprehensive and balanced scoring result. Finally, by controlling the charging pile with the highest recommended score to charge the charging pile to be charged, the optimal combination of charging piles can be selected from multiple idle and fully charged charging piles, so as to maximize charging efficiency and resource utilization while ensuring charging effect. Attached Figure Description

[0053] Figure 1 This is a flowchart illustrating a slow-charging, fast-discharging energy storage method for a charging pile in an embodiment of this application.

[0054] Figure 2 This is another schematic diagram of a slow-charging and fast-discharging energy storage method for charging piles in the embodiments of this application.

[0055] Figure 3 This is a schematic diagram of the physical device structure of a slow-charging and fast-discharging charging pile energy storage system provided in the embodiments of this application. Detailed Implementation

[0056] The terminology used in the following embodiments of this application is for the purpose of describing particular embodiments only and is not intended to be limiting of this application. As used in the specification and appended claims of this application, the singular expressions “a,” “an,” “the,” “the,” “the,” and “this” are intended to include the plural expressions as well, unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in this application refers to any or all possible combinations including one or more of the listed items.

[0057] Hereinafter, the terms "first" and "second" are used for descriptive purposes only and should not be construed as implying or suggesting relative importance or implicitly indicating the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature, and in the description of the embodiments of this application, unless otherwise stated, "multiple" means two or more.

[0058] The following describes an application scenario of an embodiment of this application:

[0059] With the increasing popularity of electric vehicles, more and more people are choosing them as their daily mode of transportation. To meet the growing charging demand, cities have built a large number of charging infrastructures, including smart charging stations that use slow-charging, fast-discharging energy storage technology. These charging stations charge electric vehicles at a low speed during the night when the grid load is low and electricity prices are cheap, storing electrical energy; while during the day when the grid load is high and electricity prices are expensive, they discharge electric vehicles at a high speed, providing fast charging services.

[0060] This charging mode not only helps electric vehicle owners save on charging costs but also helps the power grid balance load and improve energy efficiency. However, in actual operation, due to the complexity and instability of urban power grids, charging stations often encounter grid fluctuations. When the grid voltage fluctuates, the input voltage of the charging station in slow charging mode becomes unstable, leading to a decrease in charging efficiency and potentially causing overload of the charging station, triggering protection mechanisms, or damaging the equipment.

[0061] This issue not only affects the normal operation and lifespan of charging stations but also negatively impacts the charging experience for electric vehicle owners. Owners may find that, even during off-peak hours at night, charging during periods of high grid fluctuation can not achieve the desired charging effect, with the vehicle's battery level increasing slowly. Furthermore, when grid fluctuations are severe, charging stations may frequently activate their protection mechanisms, causing charging interruptions and requiring owners to wait extended periods to complete the charging process.

[0062] Furthermore, abnormal operation of charging piles can also have a negative impact on the power grid. When a large number of charging piles simultaneously experience efficiency degradation or overload problems, it may exacerbate grid instability, causing wider voltage or power fluctuations, threatening the safe operation of the power grid. To address the above technical problems, this application provides a slow-charging, fast-discharging energy storage method for charging piles, which improves the energy storage efficiency of charging piles when grid fluctuations occur.

[0063] The following is combined Figure 1 The present application describes a slow-charging, fast-discharging energy storage method for charging piles in its embodiments:

[0064] Please see Figure 1 This is a flowchart illustrating a slow-charging, fast-discharging energy storage method for a charging pile in an embodiment of this application.

[0065] S101. In the event of power grid fluctuations, identify charging piles that are slow charging, fully charged, and fast discharging.

[0066] When the system determines that the power grid is fluctuating, it identifies charging piles that are slow charging, fully charged, and fast discharging. Specifically, it acquires the power grid voltage monitored by a voltage sensor in real time.

[0067] Determine the power grid frequency based on the frequency meter and the power grid voltage;

[0068] A power grid fluctuation is determined when the change in power grid frequency exceeds a preset threshold.

[0069] The system acquires grid voltage data monitored by voltage sensors in real time and calculates the grid frequency based on the frequency. By comparing the change in grid frequency with a preset threshold, the system can determine whether grid fluctuations have occurred. When the change in grid frequency exceeds the preset threshold, it is considered that grid fluctuations have occurred, and subsequent charging pile scheduling strategies need to be activated.

[0070] For example, suppose the system obtains the current grid voltage as 220V through a voltage sensor and calculates the grid frequency as 49.8Hz. If the preset grid frequency change threshold is 0.2Hz, then the difference between the current grid frequency and the nominal frequency of 50Hz is 0.2Hz, which exactly reaches the preset threshold. Therefore, the system determines that the current grid has fluctuated and needs to confirm and schedule charging piles that are slow charging, fully charged, and fast discharging.

[0071] S102. Determine the charging piles to be charged in the slow charging piles, the idle fully charged charging piles in the fully charged charging piles, and the adjustable fast discharge charging piles in the fast discharge charging piles respectively.

[0072] The system identifies charging piles in slow charging, idle fully charged charging piles, and adjustable fast-discharge charging piles in fast-discharge charging piles. Charging piles in slow charging are those with remaining power less than a first power threshold. Idle fully charged charging piles are those with no charging task within a preset time period. Adjustable fast-discharge charging piles are those with remaining power greater than a second power threshold, where the second power threshold is greater than the first power threshold.

[0073] The system identifies charging stations awaiting charging from the slow-charging stations. These stations have remaining battery power below a first threshold and require priority charging. Next, the system identifies idle fully charged charging stations—those without scheduled charging within a preset time period—which can serve as potential power providers. Finally, the system identifies adjustable fast-discharge charging stations from the fast-discharge stations. These stations have remaining battery power above a second threshold and sufficient power for fast charging.

[0074] For example, suppose the system manages 100 charging stations, of which 30 are in slow charging mode, 20 are fully charged, and 50 are in fast discharge mode. The first power threshold is set to 20%, and the second power threshold is set to 80%. By analyzing the status and remaining power of the charging stations, the system identifies 10 charging stations waiting to be charged (remaining power below 20%), 5 idle fully charged charging stations (no charging tasks within a preset time period), and 20 adjustable fast discharge charging stations (remaining power above 80%).

[0075] S103. Determine if there is an available fully charged charging station connected to the charging station to be charged.

[0076] The system needs to determine if there are any available fully charged charging stations connected to the one to be charged. The purpose of this step is to prioritize the use of the electrical energy resources of available fully charged charging stations to quickly charge the one to be charged, thereby reducing the impact on the power grid.

[0077] For example, suppose the system identifies 10 charging stations awaiting charging and 5 idle, fully charged charging stations in step S102. By analyzing the topological connections between the charging stations, the system finds that 3 of the charging stations awaiting charging are directly connected to the idle, fully charged charging stations. This means that these 3 charging stations awaiting charging can directly obtain power from the connected idle, fully charged charging stations without needing to obtain additional power from the power grid.

[0078] By determining the connection relationship between charging stations waiting to be charged and available fully charged charging stations, the system can optimize the allocation of charging resources, reducing dependence on and impact on the power grid. This also helps improve charging efficiency and shorten the charging time of charging stations waiting to be charged.

[0079] S104. Determine whether there is an adjustable fast-discharge charging pile connected to the charging pile to be charged.

[0080] If there is no available fully charged charging station connected to the charging station to be charged, the system will determine whether there is an adjustable fast-discharge charging station connected to the charging station to be charged.

[0081] If the system does not find an available fully charged charging station connected to the charging station to be charged in step S103, it needs to further determine whether there is an adjustable fast-discharge charging station connected to the charging station to be charged. The purpose of this step is to try to use the power resources of the adjustable fast-discharge charging station to charge the charging station to be charged when an available fully charged charging station cannot be used directly.

[0082] For example, suppose in step S103, the system finds that none of the remaining 7 charging stations are directly connected to an available fully charged charging station. The system then checks whether these charging stations are connected to an adjustable fast-discharge charging station. After analysis, the system finds that 5 of the charging stations are directly connected to the adjustable fast-discharge charging station. This means that these 5 charging stations can obtain power from the connected adjustable fast-discharge charging station, although this may temporarily affect the fast-charging capability of the adjustable fast-discharge charging station.

[0083] S105. Determine the real-time power and real-time charging task of each adjustable fast-discharge charging station.

[0084] If there is an adjustable fast-discharge charging station connected to the charging station to be charged, the system determines the real-time power and real-time charging task of each adjustable fast-discharge charging station.

[0085] If the system confirms the existence of an adjustable fast-discharge charging station connected to the charging station in step S104, it needs to further obtain the real-time power level and real-time charging task status of each adjustable fast-discharge charging station. The purpose of this step is to provide a basis for subsequent evaluation and selection of adjustable fast-discharge charging stations.

[0086] For example, suppose in step S104, the system identifies five adjustable fast-discharge charging stations connected to the charging stations to be charged, numbered QC1 to QC5. Through real-time monitoring, the system obtains their current battery level and charging status:

[0087] QC1: The real-time battery level is 85%, and there is currently one charging task in progress;

[0088] QC2: Real-time battery level is 90%, and there are currently 2 charging tasks in progress;

[0089] QC3: Real-time battery level is 92%, and there are no ongoing charging tasks.

[0090] QC4: Real-time battery level is 88%, and there is currently one charging task in progress;

[0091] QC5: The current battery level is 95%, and there are no ongoing charging tasks.

[0092] By acquiring real-time power levels and charging task status of adjustable fast-discharge charging stations, the system can gain a comprehensive understanding of the current status and potential availability of each charging station. This lays a data foundation for subsequent charging station evaluation and selection, helping the system make more refined and rational scheduling decisions.

[0093] S106. Determine the power fraction for each adjustable fast-discharge charging station based on the real-time power level.

[0094] The system determines the power score for each adjustable fast-discharge charging station based on the real-time power level. The power score is either the first score or the second score.

[0095] The system determines the power score for each adjustable fast-discharge charging station based on its real-time power level. The power score reflects the impact of the charging station's power status on its scheduling priority and is divided into two levels: a first score and a second score.

[0096] For example, suppose the system's battery percentage rules are set as follows:

[0097] Adjustable fast-discharge charging piles with real-time battery level greater than or equal to 90% receive the first score of 10 points for battery level.

[0098] For adjustable fast-discharge charging stations with a real-time battery level below 90%, the battery score is the second highest, with a value of 8 points.

[0099] Based on the real-time power data obtained in step S105, the system calculates the power fraction for each adjustable fast-discharge charging station:

[0100] QC1: Real-time battery level is 85%, battery score is the second highest, 8 points;

[0101] QC2: Real-time battery level is 90%, battery score is the highest, 10 points;

[0102] QC3: Real-time battery level is 92%, battery score is the highest, 10 points;

[0103] QC4: Real-time battery level is 88%, battery score is second highest, 8 points;

[0104] QC5: Real-time battery level is 95%, battery score is the highest, 10 points.

[0105] By calculating a power score, the system can quantitatively assess the power quality of each adjustable fast-discharge charging station. A higher power score indicates a better power condition for the charging station, which should be given higher priority in subsequent scheduling decisions. This helps the system prioritize charging stations with sufficient power, improving overall charging efficiency.

[0106] S107. Determine the charging task score for each adjustable fast-discharge charging pile based on the real-time charging task.

[0107] The system determines the charging task score for each adjustable fast-discharge charging pile based on the real-time charging task, and the charging task score is either the third score or the fourth score.

[0108] The system determines the charging task score for each adjustable fast-release charging station based on its real-time charging task status. The charging task score reflects the impact of the charging station's task saturation level on its scheduling priority and is divided into two levels: third score and fourth score.

[0109] For example, suppose the system sets the scoring rules for charging tasks as follows:

[0110] There are currently no adjustable fast-discharge charging stations with ongoing charging tasks. The charging task score is the third score, with a value of 10 points.

[0111] There is currently an adjustable fast-discharge charging station with an ongoing charging task. The charging task score is the fourth score, with a value of 6 points.

[0112] Based on the real-time charging task data obtained in step S105, the system calculates the charging task score for each adjustable fast-discharge charging station:

[0113] QC1: There is currently one charging task in progress, and the charging task score is the fourth score, 6 points;

[0114] QC2: There are currently 2 charging tasks in progress. The charging task score is the fourth score, 6 points.

[0115] QC3: There are no charging tasks in progress. The charging task score is the third score, 10 points.

[0116] QC4: There is currently one charging task in progress. The charging task score is the fourth score, 6 points.

[0117] QC5: There are currently no charging tasks in progress. The charging task score is the third score, 10 points.

[0118] By calculating the charging task score, the system can quantitatively assess the task saturation level of each adjustable fast-discharge charging station. A higher charging task score indicates a lighter workload for the charging station, and it should be given higher priority in subsequent scheduling decisions. This helps the system prioritize charging stations with lighter workloads, balance the allocation of charging resources, and prevent individual charging stations from becoming overloaded.

[0119] S108. Determine the distance fraction for each adjustable fast-discharge charging station based on the connection distance to the charging station to be charged.

[0120] The system determines the distance score for each adjustable fast-release charging station based on the connection distance to the charging station to be charged. The distance score is either the fifth score or the sixth score.

[0121] The system determines a distance score for each adjustable fast-release charging station based on the connection distance between it and the charging station to be charged. The distance score reflects the impact of the distance between charging stations on their scheduling priority and is divided into two levels: the fifth score and the sixth score.

[0122] For example, suppose the system sets the distance score rules as follows:

[0123] For adjustable fast-discharge charging piles with a connection distance of less than 50 meters to the charging pile to be charged, the distance score is the fifth score, with a value of 10 points.

[0124] Adjustable fast-discharge charging piles with a connection distance of 50 meters or more to the charging pile to be charged are awarded the sixth score for distance, with a value of 7 points.

[0125] Based on the topological connections between charging stations and actual distance measurements, the system calculates the distance fraction for each adjustable fast-discharge charging station:

[0126] QC1: The connection distance to the charging station is 35 meters, and the distance score is the fifth score, 10 points;

[0127] QC2: The connection distance to the charging station is 60 meters, and the distance score is sixth out of 7 points.

[0128] QC3: The connection distance to the charging station is 20 meters, and the distance score is the fifth score, 10 points;

[0129] QC4: The connection distance to the charging station is 45 meters, and the distance score is the fifth score, 10 points;

[0130] QC5: The connection distance to the charging station is 70 meters, and the distance score is the sixth highest, 7 points.

[0131] By calculating a distance score, the system can quantitatively evaluate the proximity between each adjustable fast-discharge charging station and the charging station to be charged. A higher distance score indicates a closer proximity between the charging station and the station, and should be given higher priority in subsequent scheduling decisions. This helps the system prioritize charging stations closer to the station, reducing power transmission losses and improving charging efficiency.

[0132] S109. Calculate the corresponding recommended score using a weighted average algorithm based on the power score, charging task score, and distance score of each adjustable fast-discharge charging station.

[0133] The system calculates a recommended score for each adjustable fast-release charging station using a weighted average algorithm based on its battery level score, charging task score, and distance score. This recommended score comprehensively considers multiple attributes of the charging station and is used for subsequent scheduling decisions.

[0134] For example, suppose the system's weighted average algorithm is set as follows:

[0135] The battery score has a weight of 40%, the charging task score has a weight of 30%, and the distance score has a weight of 30%.

[0136] Recommended score = Battery score × 40% + Charging task score × 30% + Distance score × 30%.

[0137] Based on the scores calculated in steps S106, S107, and S108, the system uses a weighted average algorithm to obtain a recommended score for each adjustable fast-discharge charging station:

[0138] QC1: Battery score 8 points, charging task score 6 points, distance score 10 points, recommended score = 8 × 40% + 6 × 30% + 10 × 30% = 8.0 points;

[0139] QC2: Battery score 10 points, charging task score 6 points, distance score 7 points, recommended score = 10 × 40% + 6 × 30% + 7 × 30% = 7.9 points;

[0140] QC3: Battery score 10 points, charging task score 10 points, distance score 10 points, recommended score = 10 × 40% + 10 × 30% + 10 × 30% = 10.0 points;

[0141] QC4: Battery score 8 points, charging task score 6 points, distance score 10 points, recommended score = 8 × 40% + 6 × 30% + 10 × 30% = 8.0 points;

[0142] QC5: Battery score 10 points, charging task score 10 points, distance score 7 points, recommended score = 10 × 40% + 10 × 30% + 7 × 30% = 9.1 points.

[0143] By calculating a recommendation score using a weighted average algorithm, the system can comprehensively consider multiple attributes of adjustable fast-discharge charging stations to obtain a holistic and balanced evaluation result. A higher recommendation score indicates better overall performance of the charging station, which should be given higher priority in subsequent scheduling decisions. This helps the system select the optimal charging station from multiple dimensions, improving overall scheduling efficiency and charging experience.

[0144] S110, Control the adjustable fast-discharge charging pile with the highest recommended score to charge the charging pile to be charged;

[0145] Based on the recommended score calculated in step S109, the system selects the adjustable fast-discharge charging pile with the highest score and controls it to charge the charging pile to be charged. For example, based on the recommended score calculated in step S109, the system obtains the following ranking results:

[0146] QC3: Recommended score of 10.0, ranked first;

[0147] QC5: Recommended score of 9.1, ranking second;

[0148] QC1: Recommended score of 8.0, ranking third;

[0149] QC4: Recommended score of 8.0, ranking third;

[0150] QC2: Recommended score is 7.9, ranking fifth.

[0151] Based on the recommended ratings, the system selects the highest-rated QC3 charging station and controls it to charge the station. The system achieves a safe and efficient charging process by controlling the power transmission switch and charging controller between the QC3 and the charging station. Simultaneously, the system monitors parameters such as voltage and current during charging to ensure stability and reliability.

[0152] S111. Determine if each available fully charged charging station has a scheduled charging task.

[0153] If there are available fully charged charging stations connected to the charging stations to be charged, then determine whether each available fully charged charging station has a scheduled charging task.

[0154] If the system confirms in step S103 that there is an idle fully charged charging station connected to the charging station to be charged, it needs to further determine whether each idle fully charged charging station has a scheduled charging task. The purpose of this step is to distinguish between truly idle fully charged charging stations and temporarily idle fully charged charging stations with scheduled tasks, providing more granular information for subsequent scheduling decisions.

[0155] For example, suppose in step S103, the system identifies three available fully charged charging stations connected to the charging stations to be charged, numbered FC1, FC2, and FC3. By querying the charging reservation system, the system obtains their reservation status:

[0156] FC1: No scheduled charging tasks are available within the next hour;

[0157] FC2: There is a scheduled charging task within the next 30 minutes;

[0158] FC3: No scheduled charging tasks are available in the next 2 hours.

[0159] Based on the reservation task status, the system can further subdivide the types of idle fully charged charging stations. For FC1 and FC3, since there are no reservation tasks for a relatively long period of time, they can be regarded as truly idle fully charged charging stations. However, for FC2, although it is currently idle, it needs to be regarded as a temporarily idle fully charged charging station due to the reservation tasks in the short term.

[0160] S112. Idle fully charged charging piles with scheduled charging tasks are identified as temporarily idle fully charged charging piles, and idle fully charged charging piles without scheduled charging tasks are identified as truly idle fully charged charging piles.

[0161] If there is a scheduled charging task, the available fully charged charging piles corresponding to the scheduled charging task will be identified as temporarily available fully charged charging piles, and the available fully charged charging piles without scheduled charging tasks will be identified as truly available fully charged charging piles.

[0162] Based on the judgment result of step S111, the system further divides idle fully charged charging piles into two categories: temporarily idle fully charged charging piles and truly idle fully charged charging piles. Idle fully charged charging piles with scheduled charging tasks are marked as temporarily idle fully charged charging piles, while those without scheduled charging tasks are marked as truly idle fully charged charging piles. This classification provides clearer guidance for subsequent scheduling decisions.

[0163] For example, based on the judgment result of step S111, the system categorized the three idle fully charged charging stations:

[0164] FC1: No scheduled charging task, marked as a real available fully charged charging station;

[0165] FC2: There is a scheduled charging task, and it is marked as a temporarily available fully charged charging station;

[0166] FC3: No scheduled charging task, marked as a real available fully charged charging station.

[0167] S113. Determine the remaining operating time of the temporarily idle fully charged charging pile;

[0168] The remaining time score for each temporarily idle fully charged charging station is determined based on the remaining activation time. The remaining time score is either the seventh or eighth score, with the seventh score being greater than the eighth score.

[0169] The system further determines the remaining operating time of each temporarily idle fully charged charging station. The remaining operating time represents the idle period of the charging station from the current moment until the start of the scheduled task. This information is crucial for rationally scheduling the order and charging time of temporarily idle fully charged charging stations.

[0170] For example, assuming the current time is 14:00, according to the classification result of step S112, for the temporarily idle fully charged charging pile FC2, the system queries that the start time of its reservation task is 14:30. Therefore, the remaining operating time of FC2 is 30 minutes.

[0171] S114. Determine the remaining time score for each temporarily idle fully charged charging station based on the remaining activation time.

[0172] The system determines the remaining time score for each temporarily idle fully charged charging station based on its remaining operating time. The remaining time score reflects the impact of the length of the idle period of a temporarily idle fully charged charging station on its scheduling priority, and is divided into two levels: seventh score and eighth score.

[0173] For example, suppose the system's remaining time score rules are set as follows:

[0174] A temporarily idle fully charged charging station with a remaining activation time of 1 hour or more will be awarded the seventh point, with a value of 10 points.

[0175] A temporarily idle fully charged charging station with less than 1 hour of remaining operating time is assigned the eighth score, with a value of 6 points.

[0176] Based on the remaining activation time determined in step S113, the system calculates the remaining time fraction of the temporarily idle fully charged charging pile FC2:

[0177] FC2: The remaining time is 30 minutes, which is less than 1 hour. Therefore, the remaining time score is the eighth score, with a value of 6 points.

[0178] By calculating the remaining time score, the system can quantitatively assess the time priority of each temporarily idle fully charged charging station. A higher remaining time score indicates a longer idle period for the charging station, and it should be given higher priority in subsequent scheduling decisions. This helps the system optimize its scheduling strategy in the time dimension, prioritizing temporarily idle fully charged charging stations with longer availability times, thereby improving the efficiency of charging task completion.

[0179] S115. Determine the distance score for each temporarily idle fully charged charging pile and each truly idle fully charged charging pile based on the connection distance to the charging pile to be charged.

[0180] Based on the connection distance to the charging pile to be charged, a distance score is determined for each temporarily idle fully charged charging pile and each actually idle fully charged charging pile. The distance score is either the ninth score or the tenth score, with the ninth score being greater than the tenth score.

[0181] The system determines a distance score for each temporarily idle fully charged charging station and each truly idle fully charged charging station based on the connection distance between them and the charging station to be charged. The distance score reflects the impact of the distance between charging stations on their scheduling priority and is divided into two levels: the ninth score and the tenth score.

[0182] For example, suppose the system sets the distance score rules as follows:

[0183] For charging stations whose connection distance to the charging station is less than 50 meters, the distance score is the ninth score, and the value is 10 points.

[0184] Charging stations with a connection distance of 50 meters or more to the charging station to be charged will receive a distance score of 10 points, with a value of 7 points.

[0185] Based on the topological connections between charging stations and actual distance measurements, the system calculates the distance score for each charging station:

[0186] FC1 (Real Idle Fully Charged Charging Station): The connection distance to the charging station to be charged is 30 meters, the distance score is the ninth point, 10 points;

[0187] FC2 (Temporarily Idle Fully Charged Charging Station): The connection distance to the charging station to be charged is 60 meters, with a distance score of 10 points and 7 points.

[0188] FC3 (Real Idle Fully Charged Charging Station): The connection distance to the charging station to be charged is 40 meters, and the distance score is the ninth point, 10 points.

[0189] By calculating a distance score, the system can quantitatively evaluate the proximity between each charging station and the station to be charged. A higher distance score indicates a closer proximity between the charging station and the station, and should be given higher priority in subsequent scheduling decisions. This helps the system prioritize charging stations that are closer to the station, reducing power transmission losses and improving charging efficiency.

[0190] S116. Use a weighted average algorithm to calculate the recommended score corresponding to each temporarily idle fully charged charging station and each actually idle fully charged charging station.

[0191] Based on the distance scores of each charging station obtained in step S115 and the remaining time scores of temporarily idle fully charged charging stations obtained in step S114, the system uses a weighted average algorithm to calculate their recommended scores. The calculation formula is as follows:

[0192] For temporarily idle fully charged charging stations:

[0193] Recommended rating = Remaining time score × 60% + Distance score × 40%

[0194] For truly available, fully charged charging stations:

[0195] Recommended rating = Distance score × 100%

[0196] Based on the example in step S115, calculate the recommended score for each charging station:

[0197] FC1 (Actual Idle Fully Charged Charging Station):

[0198] The distance score is 10 points.

[0199] Recommended rating = 10 × 100% = 10 points

[0200] FC2 (Temporarily Idle Fully Charged Charging Station):

[0201] The remaining time score is 6 points (eighth score), and the distance score is 7 points (tenth score).

[0202] Recommended rating = 6 × 60% + 7 × 40% = 6.4 points

[0203] FC3 (Actual Idle Fully Charged Charging Station):

[0204] The distance score is 10 points.

[0205] Recommended rating = 10 × 100% = 10 points

[0206] S117. Control the charging pile with the highest recommended score to charge the charging pile to be charged.

[0207] The above embodiments have the following beneficial effects:

[0208] This method effectively identifies and distinguishes between charging piles undergoing slow charging, fully charged charging piles, and fast-discharging charging piles under grid fluctuations, providing accurate classification criteria for subsequent charging strategies. Secondly, by further subdividing charging piles into those awaiting charging (slow charging), idle fully charged charging piles (fully charged), and adjustable fast-discharging charging piles (fast-discharging), the method can more accurately select suitable charging piles for charging scheduling, improving charging efficiency. Thirdly, the method first determines whether there are idle fully charged charging piles connected to those awaiting charging. If not, it then determines whether there are adjustable fast-discharging charging piles connected to those awaiting charging, reflecting the priority of the charging strategy: prioritizing the use of idle fully charged charging piles, and then considering adjustable fast-discharging charging piles, thereby minimizing the impact on charging piles currently performing fast charging tasks while ensuring charging effectiveness. Finally, by calculating the recommended score for each adjustable fast-discharging charging pile and controlling the adjustment fast-discharging charging pile with the highest recommended score to charge those awaiting charging, the optimal charging pile combination can be selected, improving charging efficiency while ensuring load balancing and extending the lifespan of the charging piles.

[0209] Acquiring real-time power and charging tasks for each adjustable fast-release charging station provides a crucial data foundation for subsequent scoring calculations. Secondly, a power score is determined based on real-time power, a charging task score based on real-time charging tasks, and a distance score based on the connection distance to the charging station. This comprehensive approach fully considers multiple key factors influencing charging station selection, resulting in a more complete and objective scoring outcome. Furthermore, reasonable interval divisions and corresponding point values ​​are set for the power score, charging task score, and distance score. For example, the power score is divided into first and second scores, the charging task score into third and fourth scores, and the distance score into fifth and sixth scores. This point value setting quantitatively assesses the influence of each factor, laying the foundation for the final comprehensive score. Finally, a weighted average algorithm is used to calculate the comprehensive recommendation score. By assigning different weights to each score, a comprehensive evaluation result that considers multiple factors such as power, charging task, and distance can be obtained, thereby selecting the optimal adjustable fast-release charging station.

[0210] The method first determines whether each available fully charged charging station has a scheduled charging task, categorizing them into temporarily available and truly available fully charged charging stations. This provides a more detailed classification basis for subsequent charging station selection. Secondly, for temporarily available fully charged charging stations, the method further determines their remaining operating time and assigns a corresponding remaining time score (seventh or eighth score). This approach allows for a more precise assessment of the available time window of temporarily available fully charged charging stations, providing a more accurate time factor impact for the comprehensive score. Thirdly, for both temporarily available and truly available fully charged charging stations, the method determines a distance score (ninth or tenth score) based on the connection distance to the charging station to be charged, and calculates a comprehensive recommended score for each charging station using a weighted average algorithm. This scoring mechanism considers both time and distance factors, resulting in a more comprehensive and balanced score. Finally, by controlling the charging station with the highest recommended score to charge the charging station to be charged, the optimal charging station combination can be selected from multiple available fully charged charging stations, maximizing charging efficiency and resource utilization while ensuring charging effect.

[0211] Real-time acquisition of grid voltage monitored by voltage sensors provides a crucial data foundation for subsequent grid frequency calculations. Voltage sensors can monitor grid voltage changes in real time and accurately, ensuring data reliability and timeliness. Secondly, determining the grid frequency based on frequency and grid voltage aligns with the physical laws of the power system and accurately reflects the real-time operating status of the grid. Frequency, as a key indicator of grid stability, directly impacts grid fluctuations. Furthermore, by determining whether the change in grid frequency exceeds a preset threshold, grid fluctuations can be efficiently and accurately identified. The preset threshold can be adjusted based on actual grid operation and stability requirements, making fluctuation assessment more flexible and applicable. Finally, upon determining grid fluctuations, subsequent charging pile classification and charging scheduling processes are triggered, enabling the entire energy storage method to respond promptly and effectively to grid fluctuations, leveraging the peak-shaving and frequency-regulating functions of charging piles to improve grid stability and reliability.

[0212] In the above embodiments, steps S106-S108 include battery score, charging task score, and distance score. The following, in conjunction with another embodiment, illustrates how the battery score is obtained; the charging task score and distance score are obtained similarly. Figure 2 Another slow-charging and fast-discharging energy storage method for charging piles in the embodiments of this application is described below:

[0213] Please see Figure 2 This is another flowchart illustrating a slow-charging, fast-discharging energy storage method for a charging pile in this application.

[0214] S201. When the real-time power of the adjustable fast-release charging pile is within the preset first range, the power score of the adjustable fast-release charging pile is determined as the first score.

[0215] The system determines the battery score of the adjustable fast-release charging station by judging whether its real-time battery level falls within a preset first range. This preset first range can be set according to actual application scenarios and needs, and typically corresponds to a higher battery level. When the real-time battery level of the adjustable fast-release charging station falls within this first range, the system assigns it the first score, which is a higher value.

[0216] For example, suppose the system's preset first range is a battery level ≥ 80%, and the first score is 10 points. When the real-time battery level of a certain adjustable fast-release charging station QC1 is 85%, since 85% ≥ 80%, it falls within the first range, so the system determines QC1's battery score to be 10 points.

[0217] Through step S201, the system can quantitatively assess the quality of the adjustable fast-discharge charging pile's power supply. A higher power score indicates a higher power level for the charging pile and a greater abundance of available electrical resources for fast charging. This provides crucial information for subsequent charging pile scheduling decisions, helping the system prioritize charging piles with higher power levels for fast charging, thereby improving overall charging efficiency and energy utilization.

[0218] Meanwhile, by pre-setting power ranges and corresponding scores, the system can flexibly adapt to different application needs. The range divisions and score settings can be adjusted according to actual conditions to better guide the power management and scheduling strategies of charging piles. This quantitative evaluation method improves the system's intelligence level, enabling it to manage distributed charging pile resources more precisely and dynamically.

[0219] S202. When the real-time power of the adjustable fast-release charging pile is within the preset second range, the power score of the adjustable fast-release charging pile is determined as the second score.

[0220] When the real-time power of the adjustable fast-release charging pile is within the preset second range, the power score of the adjustable fast-release charging pile is determined as the second score. The power of the preset first range is not less than the power of the preset second range, and the first score is greater than the second score.

[0221] Similarly, when the remaining time of the real-time charging task of the adjustable fast-release charging pile is less than the preset time, the charging task score of the adjustable fast-release charging pile is determined as the third score.

[0222] If the remaining time of the real-time charging task of the adjustable fast-release charging pile is not less than the preset time, the charging task score of the adjustable fast-release charging pile is determined to be the fourth score, and the third score is greater than the fourth score.

[0223] When the connection distance of the adjustable fast-release charging pile is less than the preset distance, the distance score of the adjustable fast-release charging pile is determined to be the fifth score.

[0224] When the connection distance of the adjustable fast-release charging pile is not less than the preset distance, the distance score of the adjustable fast-release charging pile is determined to be the sixth score, and the fifth score is greater than the sixth score.

[0225] The above embodiments have the following beneficial effects:

[0226] By setting preset first and second intervals, the real-time battery level of adjustable fast-release charging stations is divided into two levels, corresponding to different battery scores: a first score and a second score. This interval division allows for a more detailed assessment of the charging station's battery status, providing a more precise distinction between battery levels. Secondly, the battery level in the preset first interval is no less than that in the preset second interval, and the first score is greater than the second score. This setting aligns with the objective law that higher battery levels provide more available power for scheduling, making the battery score assignment more reasonable and accurate. Furthermore, by subdividing battery levels and differentiating scores, the scheduling priority of charging stations under different battery states can be better reflected, providing a more targeted assessment of the impact of battery factors on the overall evaluation. Finally, the reasonable setting of the battery score, together with the charging task score and distance score, constitutes a comprehensive and balanced evaluation system, ensuring that the ultimately selected adjustable fast-release charging stations achieve an optimal balance in terms of battery level, task availability, and location.

[0227] To determine whether the remaining time of a real-time charging task for an adjustable fast-release charging pile is less than a preset time, the task status of the charging pile is divided into two cases, corresponding to different charging task scores: a third score and a fourth score. This division clearly distinguishes the task saturation level of the charging pile, providing a clear basis for assigning charging task scores. Secondly, when the remaining time is less than the preset time, it indicates that the current task of the charging pile is about to be completed and can be quickly put into new charging scheduling, thus corresponding to a higher third score; while when the remaining time is not less than the preset time, it indicates that the current task of the charging pile still needs a longer time to complete, and the flexibility available for scheduling is relatively low, thus corresponding to a lower fourth score. This score setting is consistent with reality and can reasonably reflect the impact of the charging pile's task status on its scheduleability. Furthermore, by using a binary judgment of the charging task status and differentiating the scores, the scheduling priority of the charging pile under different task saturation levels can be better reflected, providing more targeted task factor influences for comprehensive scoring. Finally, the reasonable setting of the charging task score, together with the power score and distance score, constitutes a comprehensive and balanced evaluation system, enabling the final selected adjustable fast-discharge charging pile to achieve an optimal balance in terms of task saturation, power level, and location convenience.

[0228] To determine whether the connection distance between the adjustable fast-release charging pile and the charging pile to be charged is less than a preset distance, the location relationship of the charging piles is divided into two cases, corresponding to different distance scores: a fifth score and a sixth score. This division clearly distinguishes the location advantages and disadvantages of the charging piles, providing a clear basis for assigning distance scores. Secondly, when the connection distance is less than the preset distance, it indicates that the charging pile and the charging pile to be charged are relatively close, with less charging line loss and higher transmission efficiency, thus corresponding to a higher fifth score; conversely, when the connection distance is not less than the preset distance, it indicates that the charging pile and the charging pile to be charged are relatively far apart, with greater charging line loss and lower transmission efficiency, thus corresponding to a lower sixth score. This score setting is consistent with reality and can reasonably reflect the impact of the location advantages and disadvantages of the charging piles on their scheduling priority. Furthermore, by using a binary judgment of the location relationship and differentiating the scores, the scheduling priority of charging piles at different distances can be better reflected, providing a more targeted indication of the influence of distance factors on the comprehensive scoring. Finally, the reasonable setting of the distance score, together with the power score and the charging task score, constitutes a comprehensive and balanced evaluation system, which enables the finally selected adjustable fast-discharge charging pile to achieve an optimal balance in terms of location convenience, power level and task saturation.

[0229] The system in the embodiments of this invention is described below from the perspective of hardware processing. Please refer to [link / reference needed]. Figure 3This is a schematic diagram of the physical device structure of a slow-charging and fast-discharging charging pile energy storage system provided in an embodiment of this application.

[0230] It should be noted that, Figure 3 The structure of the system shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of the present invention.

[0231] like Figure 3 As shown, the system includes a Central Processing Unit (CPU) 301, which can perform various appropriate actions and processes based on a program stored in Read-Only Memory (ROM) 302 or a program loaded from storage portion 308 into Random Access Memory (RAM) 303, such as executing the methods described in the above embodiments. The RAM 303 also stores various programs and data required for system operation. The CPU 301, ROM 302, and RAM 303 are interconnected via a bus 304. An Input / Output (I / O) interface 305 is also connected to the bus 304.

[0232] The following components are connected to I / O interface 305: input section 306 including a camera, infrared sensor, etc.; output section 307 including a liquid crystal display (LCD) and speakers, etc.; storage section 308 including a hard disk, etc.; and communication section 309 including a network interface card such as a LAN (Local Area Network) card and a modem, etc. Communication section 309 performs communication processing via a network such as the Internet. Drive 310 is also connected to I / O interface 305 as needed. Removable media 311, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., are installed on drive 310 as needed so that computer programs read from them can be installed into storage section 308 as needed.

[0233] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing computer programs for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 309, and / or installed from removable medium 311. When the computer program is executed by central processing unit (CPU) 301, it performs the various functions defined in the present invention.

[0234] It should be noted that the computer-readable medium shown in the embodiments of the present invention can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present invention, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, wherein a computer-readable computer program is carried. The transmitted data signal can take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof.

[0235] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. Each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0236] In another aspect, the present invention also provides a computer-readable storage medium, which may be included in the system described in the above embodiments; or it may exist independently and not assembled into the system. The storage medium carries one or more computer programs that, when executed by a processor of a system, cause the system to implement the methods provided in the above embodiments.

[0237] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit it. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

[0238] As used in the above embodiments, depending on the context, the term "when..." can be interpreted as meaning "if...", "after...", "in response to determining...", or "in response to detecting...". Similarly, depending on the context, the phrase "when determining..." or "if (the stated condition or event) is interpreted as meaning "if determining...", "in response to determining...", "when (the stated condition or event) is detected", or "in response to detecting (the stated condition or event)".

[0239] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state drive), etc.

[0240] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM or random access memory (RAM), magnetic disks, or optical disks.

Claims

1. A method for energy storage in a slow-charging, fast-discharging charging pile, characterized in that, include: In the event of power grid fluctuations, identify charging stations that are slow charging, fully charged, and fast discharging. The following are identified: a charging pile to be charged in the slow charging pile, an idle fully charged charging pile in the fully charged charging pile, and an adjustable fast-discharge charging pile in the fast-discharge charging pile. The charging pile to be charged is a slow charging pile with a remaining power of less than a first power threshold. The idle fully charged charging pile is a fully charged charging pile with no charging task within a preset time period. The adjustable fast-discharge charging pile is a fast-discharge charging pile with a remaining power of greater than a second power threshold, where the second power threshold is greater than the first power threshold. Determine if there is an available fully charged charging station connected to the charging station to be charged; If there is no available fully charged charging station connected to the charging station to be charged, then determine whether there is an adjustable fast-discharge charging station connected to the charging station to be charged. If there is an adjustable fast-discharge charging station connected to the charging station to be charged, then a recommended score is determined for each of the adjustable fast-discharge charging stations. Control the adjustable fast-discharge charging pile with the highest recommended score to charge the charging pile to be charged; Wherein, if an adjustable fast-discharge charging station exists and is connected to the charging station to be charged, a recommended score is determined for each of the adjustable fast-discharge charging stations, specifically including: If there is an adjustable fast-discharge charging pile connected to the charging pile to be charged, then determine the real-time power and real-time charging task of each adjustable fast-discharge charging pile. The power fraction of each adjustable fast-discharge charging pile is determined based on the real-time power consumption, and the power fraction is either a first fraction or a second fraction. The charging task score for each of the adjustable fast-release charging piles is determined based on the real-time charging task, and the charging task score is either the third score or the fourth score. The distance fraction for each adjustable fast-release charging pile is determined based on the connection distance to the charging pile to be charged, and the distance fraction is either the fifth fraction or the sixth fraction. The corresponding recommendation score is calculated using a weighted average algorithm based on the power score, charging task score, and distance score of each adjustable fast-discharge charging station. The charging task score for each adjustable fast-discharge charging pile is determined based on the real-time charging task, wherein the charging task score is a third score or a fourth score, specifically including: When the remaining time of the real-time charging task of the adjustable fast-release charging pile is less than the preset time, the charging task score of the adjustable fast-release charging pile is determined to be the third score. When the remaining time of the real-time charging task of the adjustable fast-release charging pile is not less than the preset time, the charging task score of the adjustable fast-release charging pile is determined to be the fourth score, and the third score is greater than the fourth score. If there is an idle fully charged charging pile connected to the charging pile to be charged, then determine whether each idle fully charged charging pile has a scheduled charging task. If there is a scheduled charging task, then the available fully charged charging piles corresponding to the scheduled charging task will be identified as temporarily available fully charged charging piles, and the available fully charged charging piles without the scheduled charging task will be identified as truly available fully charged charging piles. Determine the remaining operating time of the temporarily idle fully charged charging pile; Based on the remaining activation time, the remaining time fraction of each temporarily idle fully charged charging pile is determined, and the remaining time fraction is either the seventh fraction or the eighth fraction, wherein the seventh fraction is greater than the eighth fraction; Based on the connection distance to the charging pile to be charged, a distance score is determined for each of the temporarily idle fully charged charging piles and the actually idle fully charged charging piles. The distance score is either the ninth score or the tenth score, where the ninth score is greater than the tenth score. The weighted average algorithm is used to calculate the recommended score for each of the temporarily idle fully charged charging piles and the actual idle fully charged charging piles; The system controls the charging station with the highest recommended rating to charge the charging station to be charged.

2. The method according to claim 1, characterized in that, The step of determining the power score for each adjustable fast-discharge charging pile based on the real-time power level, wherein the power score is either a first score or a second score, specifically includes: When the real-time power of the adjustable fast-release charging pile is within a preset first range, the power score of the adjustable fast-release charging pile is determined as the first score. When the real-time power of the adjustable fast-release charging pile is within a preset second range, the power score of the adjustable fast-release charging pile is determined as the second score, the power of the preset first range is not less than the power of the preset second range, and the first score is greater than the second score.

3. The method according to claim 1, characterized in that, The distance fraction for each adjustable fast-release charging pile is determined based on its connection distance to the charging pile to be charged. This distance fraction is either a fifth or sixth fraction, and specifically includes: When the connection distance of the adjustable fast-release charging pile is less than the preset distance, the distance score of the adjustable fast-release charging pile is determined to be the fifth score; When the connection distance of the adjustable fast-release charging pile is not less than the preset distance, the distance score of the adjustable fast-release charging pile is determined to be the sixth score, and the fifth score is greater than the sixth score.

4. The method according to claim 1, characterized in that, The specific circumstances under which power grid fluctuations are determined include: Real-time acquisition of grid voltage monitored by voltage sensors; The power grid frequency is determined based on the frequency meter and the power grid voltage. If the change in the power grid frequency is greater than a preset threshold, it is determined that the power grid is fluctuating.

5. A slow-charging, fast-discharging charging pile energy storage system, characterized in that, The system includes: One or more processors and a memory; the memory is coupled to the one or more processors, the memory being used to store computer program code, the computer program code including computer instructions, the one or more processors invoking the computer instructions to cause the system to perform the method as described in any one of claims 1-4.

6. A computer-readable storage medium comprising instructions, characterized in that, When the instructions are executed on the system, the system performs the method as described in any one of claims 1-4.

7. A computer program product, characterized in that, When the computer program product is run on the system, it causes the system to perform the method as described in any one of claims 1-4.

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