New energy automobile charging regulation and control method and system

Abstract

The invention discloses a new energy vehicle charging regulation and control method and system, and relates to the technical field of electric vehicle charging management. Historical daily total load data, real-time total load and time-sharing available capacity upper limit of a target station area and regulation and control data of each target charging pile are synchronously obtained by responding to a charging regulation and control request; the method comprises the following steps: fusing real-time total load and historical daily total load data to carry out load prediction so as to obtain a transformer area total load prediction value, then calculating a dynamic priority score of each charging pile through a multi-dimensional factor based on charging pile regulation and control data, and then determining a regulation and control grade by combining the total load prediction value, the real-time total load and a time-sharing available capacity upper limit. Finally, differentiated charging regulation and control are implemented according to the priority score under the preset target regulation and control level, on one hand, the transformer area overload risk under the power distribution openable capacity limited scene is effectively avoided, on the other hand, differentiated distribution of charging requirements is achieved, the limited power distribution capacity utilization rate is improved, safe operation of transformer area power distribution equipment is guaranteed, and the power distribution efficiency is improved. And the user charging experience is improved.

Description

Technical Field

[0001] This invention relates to the field of electric vehicle charging management technology, and in particular to a method and system for regulating the charging of new energy vehicles. Background Technology

[0002] With the continuous increase in the popularity of new energy vehicles and the rapid advancement of charging infrastructure construction, the concentration of charging behavior during certain periods is becoming increasingly apparent. Especially during peak electricity consumption hours in the evening, the charging load overlaps with the daily electricity load of households, causing the distribution transformers in the area to frequently face overload pressure. In some areas with tight power distribution capacity, there are also problems such as difficulty in applying for charging pile installation and sudden tripping during charging. This not only seriously affects the user's charging experience but also poses a threat to the safe and stable operation of power distribution equipment. The industry's demand for intelligent charging control technology that combines accuracy and adaptability is becoming increasingly urgent.

[0003] Currently, most mainstream charging control solutions in the industry rely on fixed rules or single-dimensional data to formulate strategies. They either perform static scheduling based solely on historical load data or simply limit power based on real-time load. While this can alleviate overload risks to some extent, it lacks a systematic control logic. Static scheduling based solely on historical load data makes it difficult to capture sudden load fluctuations in real-time electricity consumption scenarios, leading to significant discrepancies between load forecasts and actual conditions, and a lack of foresight in control decisions. Conversely, simply limiting power based on real-time load ignores the electricity consumption patterns inherent in historical daily total load data and fails to consider the charging piles themselves. Dynamically prioritizing individual needs based on factors such as charging completion and urgency will lead to either delayed response and inability to promptly mitigate the risk of transformer overload, potentially resulting in charging tripping issues; or a "one-size-fits-all" approach that leads to uneven distribution of charging resources, preventing users in urgent need from receiving priority service and wasting power distribution capacity. Ultimately, it becomes difficult to accurately predict and differentiate charging loads while ensuring the safe and stable operation of power distribution equipment. This fails to resolve the core contradiction between power distribution capacity constraints and user charging experience, becoming a key bottleneck restricting the implementation of smart charging technology in low-capacity areas. Summary of the Invention

[0004] This invention provides a method and system for regulating the charging of new energy vehicles, which solves the technical problem that existing charging regulation technologies cannot achieve precise regulation that combines real-time responsiveness with differentiated allocation of charging demand in scenarios where the available power distribution capacity is limited.

[0005] The first aspect of this invention provides a method for regulating the charging of new energy vehicles, comprising:

[0006] In response to charging control requests, the system obtains historical daily total load data, real-time total load and time-of-use available capacity upper limit for the target area, as well as charging pile control data for each target charging pile within the target area.

[0007] The predicted total load of the transformer area is obtained by using the real-time total load and the historical daily total load data.

[0008] Based on the control data of each charging pile, priority scores are assigned to each target charging pile to obtain the priority score corresponding to each target charging pile.

[0009] The control level of the target transformer area is determined based on the predicted total load of the transformer area, the real-time total load, and the time-of-use available capacity limit.

[0010] When the control level is the preset target control level, the control is applied to each target charging pile based on the priority score.

[0011] Optionally, the historical daily total load data includes the historical total load of multiple transformer substations. The step of using the real-time total load and the historical daily total load data to predict the total load of the transformer substations includes:

[0012] Match the real-time total load weighting coefficient associated with the real-time total load;

[0013] Match the historical total load weighting coefficients associated with the historical total load of each of the aforementioned transformer areas;

[0014] The first multiplication value is obtained by multiplying the real-time total load with the real-time total load weighting coefficient.

[0015] The historical total load of each transformer area is multiplied by the associated historical total load weighting coefficient to obtain multiple second multiplication values;

[0016] The first sum is obtained by performing a summation operation on all the second multipliers;

[0017] The first multiplication value and the first sum value are used to perform a summation operation to obtain the second sum value;

[0018] The third sum is obtained by summing all the aforementioned historical total load weighting coefficients;

[0019] The fourth sum is obtained by performing a summation operation using the third sum and the real-time total load weighting coefficient.

[0020] The total load forecast value of the transformer area is obtained by comparing the second sum with the fourth sum.

[0021] Optionally, the step of prioritizing each target charging pile based on the control data of each charging pile to obtain a priority score corresponding to each target charging pile includes:

[0022] Based on the control data of each charging pile, a priority factor corresponding to each target charging pile is determined. The priority factor includes a completion factor, an urgency factor, a fairness factor, and a control frequency factor.

[0023] The priority weight coefficients associated with the completion factor, the urgency factor, the fairness factor, and the regulation frequency factor are matched.

[0024] Based on the completion factor, the urgency factor, the fairness factor, and the regulation frequency factor, the priority weight coefficient is used to couple them to obtain the priority score corresponding to each target charging pile.

[0025] Optionally, the charging pile control data includes the current charging amount, current charging duration, historical average charging amount, historical average charging duration, historical successful response command count, historical total number of received commands, and control count. The step of determining the priority factor corresponding to each target charging pile based on the charging pile control data includes:

[0026] The completion factor is obtained by calculating the ratio between the current charging amount and the historical average charging amount.

[0027] The urgency factor is obtained by calculating the ratio between the current charging time and the historical average charging time.

[0028] The fairness factor is obtained by calculating the ratio of the number of historical successful response commands to the total number of historical received commands.

[0029] When the number of adjustments is greater than or equal to a preset adjustment number threshold, the preset adjustment number threshold is used as the adjustment frequency factor.

[0030] When the number of adjustments is less than the preset adjustment number threshold, the number of adjustments is used as the adjustment frequency factor.

[0031] Optionally, the step of coupling the completion factor, the urgency factor, the fairness factor, and the regulation frequency factor using the priority weight coefficient to obtain the priority score corresponding to each of the target charging piles includes:

[0032] The completion factor, urgency factor, fairness factor, and regulation frequency factor are multiplied with the associated priority weight coefficient to obtain multiple third multiplication values ​​corresponding to each target charging pile.

[0033] The priority score for each target charging pile is obtained by performing a summation operation on the multiple third multiplication values ​​corresponding to each target charging pile.

[0034] Optionally, determining the control level of the target distribution area based on the predicted total load of the distribution area, the real-time total load, and the time-of-use available capacity limit includes:

[0035] The current load rate is obtained by calculating the ratio between the real-time total load and the time-sharing available capacity limit.

[0036] The predicted load factor is obtained by comparing the predicted total load of the transformer area with the upper limit of the time-of-use available capacity.

[0037] Based on the current load rate and the predicted load rate, the control level of the target transformer area is determined.

[0038] Optionally, determining the control level of the target transformer area based on the current load rate and the predicted load rate includes:

[0039] Determine whether the current load rate is within the first preset control level range;

[0040] When the current load rate is within the first preset control level range, it is determined whether the predicted load rate is within the preset warning level range.

[0041] If the predicted load rate is within the preset early warning level range, then the target transformer area is determined to be at the early warning control level.

[0042] If the predicted load rate is not within the preset warning level range, the target transformer area is determined to be at the safe control level.

[0043] When the current load rate is within the second preset control level range, the target area is determined to be at the transition control level;

[0044] When the current load rate is within the third preset control level range, the target area is determined to be at the emergency control level.

[0045] Optionally, the preset target control level is any one of the safety control level, the transition control level, and the emergency control level. When the control level is the preset target control level, the control is performed on each of the target charging piles based on the priority score, including:

[0046] When the preset target control level is the safety control level, a closing command is issued to the target charging pile in the pause / power reduction state in descending order of the priority score;

[0047] When the preset target control level is the transition control level, it is determined whether the predicted load rate is in the preset high-risk range.

[0048] When the predicted load rate is in the preset high-risk range, the target charging piles with real-time power greater than the preset power threshold are selected as the charging piles to be regulated.

[0049] Power reduction commands are issued to the charging piles to be regulated in ascending order of the priority scores.

[0050] When the preset target control level is the emergency control level, a pause command is issued to the target charging pile in ascending order of the priority score.

[0051] Optionally, it also includes:

[0052] If the predicted load rate is not within the preset high-risk range, an early warning command will be sent.

[0053] A second aspect of the present invention provides a charging control system for new energy vehicles, comprising:

[0054] The response module is used to respond to charging control requests, obtain historical daily total load data, real-time total load and time-of-use available capacity upper limit of the target area, and charging pile control data of each target charging pile in the target area.

[0055] The prediction module is used to make predictions using the real-time total load and the historical daily total load data to obtain the predicted value of the total load of the transformer area.

[0056] The scoring module is used to score the priority of each target charging pile based on the control data of each charging pile, and obtain the priority score corresponding to each target charging pile.

[0057] The processing module is used to determine the control level of the target transformer area based on the predicted total load of the transformer area, the real-time total load, and the time-sharing available capacity limit;

[0058] The control module is used to control each target charging pile based on the priority score when the control level is a preset target control level.

[0059] As can be seen from the above technical solutions, the present invention has the following advantages:

[0060] This invention provides a method and system for regulating charging of new energy vehicles. By responding to charging regulation requests, it simultaneously acquires historical daily total load data, real-time total load, time-of-use available capacity limit, and regulation data for each target charging pile in the target distribution area. First, it integrates real-time and historical daily total load data to predict the total load of the distribution area. Then, based on the charging pile regulation data, it calculates the dynamic priority score for each charging pile using multi-dimensional factors. Subsequently, it combines the total load prediction value, real-time total load, and time-of-use available capacity limit to determine the regulation level. Finally, under a preset target regulation level, it implements differentiated charging regulation based on the priority score. This invention, on the one hand, captures electricity consumption patterns and senses dynamic fluctuations through the fusion prediction of real-time and historical data, effectively avoiding the risk of distribution area overload in scenarios with limited available distribution capacity. On the other hand, the dynamic priority scoring breaks the "one-size-fits-all" model, achieving differentiated allocation of charging demand, improving the utilization rate of limited distribution capacity, ensuring the safe operation of distribution equipment in the distribution area, and enhancing the user charging experience. Attached Figure Description

[0061] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0062] Figure 1 A flowchart illustrating the steps of a new energy vehicle charging control method provided in an embodiment of the present invention;

[0063] Figure 2 This is a structural block diagram of a new energy vehicle charging control system provided in an embodiment of the present invention. Detailed Implementation

[0064] This invention provides a method and system for regulating the charging of new energy vehicles, which addresses the technical problem that existing charging regulation technologies cannot achieve precise regulation that combines real-time responsiveness with differentiated allocation of charging demand in scenarios where the available power distribution capacity is limited.

[0065] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0066] It should be noted that, in the optional embodiments of the present invention, the data related to object information, etc., requires the permission or consent of the object when the embodiments of the present invention are applied to specific products or technologies. Furthermore, the collection, use, and processing of the relevant data must comply with the relevant laws, regulations, and standards of the relevant countries and regions. In other words, if the embodiments of the present invention involve data related to an object, it needs to be obtained with the object's authorization and consent, the authorization and consent of relevant departments, and in accordance with the relevant laws, regulations, and standards of the country and region. If the embodiments involve personal information, the acquisition of all personal information requires the individual's consent. If sensitive information is involved, the separate consent of the information subject is required. The embodiments also need to be implemented with the object's authorization and consent.

[0067] Please see Figure 1 , Figure 1 A flowchart illustrating the steps of a new energy vehicle charging control method provided in an embodiment of the present invention.

[0068] This invention provides a method for regulating the charging of new energy vehicles, comprising:

[0069] Step 101: Respond to the charging control request, obtain the historical daily total load data, real-time total load and time-of-use available capacity limit of the target substation area, as well as the charging pile control data of each target charging pile in the target substation area.

[0070] Target area: refers to a specific power supply area supplied by a single distribution transformer, encompassing all electrical equipment and charging piles within that area, and is the core control scope of the charging regulation of this invention.

[0071] Charging control request: refers to the signal that triggers the charging load control process. It can be automatically triggered by the smart control device according to a preset cycle (1-5 minutes), or passively triggered when the load of the transformer area is close to the upper limit of the available capacity per hour.

[0072] Historical daily total load data: refers to the daily total load data of the target area and similar areas over the past 30 days, recorded in the form of 24-hour hourly values, including the total load of all electrical equipment in the area, used to capture electricity consumption patterns.

[0073] Real-time total load: refers to the total power load of the target area at the current moment (unit: kW), which includes all power loads such as charging pile load and household daily power load.

[0074] Time-of-use capacity limit: refers to the safe electricity load threshold (unit: kW) preset by the power supply department for different time periods based on the rated capacity of the distribution transformer in the target area and the power grid operation status. It is the safety benchmark for load regulation.

[0075] Target charging pile: refers to new energy vehicle charging equipment located within the target area, connected to the intelligent control system, and capable of load regulation.

[0076] Charging pile control data: refers to the core data used to calculate the priority of charging piles, including the amount of charge already received, the current charging time, the historical average charging amount, the historical average charging time, the number of historical successful response commands, the total number of historical commands received, and the number of control operations in the last 2 hours.

[0077] In this embodiment of the invention, when a change in the power load of the target area is detected or a preset control cycle is reached, a charging control request is automatically triggered, and the data acquisition process is then initiated. Through intelligent circuit breakers with metering functions deployed at each target charging pile, real-time charging pile control data for each target charging pile is collected, including the current charging amount, current charging duration, historical average charging amount (average of the last 30 charging cycles), historical average charging duration (average of the last 30 charging cycles), historical successful response command count, historical total number of received commands, and the number of control operations in the last 2 hours. The collected data is transmitted via an RS485 line to the power line carrier communication module in the distribution box. Simultaneously, by connecting to the area's power distribution monitoring system, the historical daily total load data (24-hour load values ​​for the last 30 days), the current real-time total load (including the load of all electrical equipment), and the time-of-use available capacity limit (preset according to different time periods in the morning, noon, and evening) of the target area are obtained. The data from the area side and the charging pile side are then aggregated through the power line carrier communication module. The intelligent control device performs preliminary cleaning on the aggregated data, removing invalid data with charging power < 0kW and charging time < 1 minute, as well as duplicate data within 10 seconds, and converts it into a standardized format of timestamp-device ID-data item-value.

[0078] Step 102: Use real-time total load and historical daily total load data to make predictions and obtain the predicted value of total load for the transformer area.

[0079] Furthermore, the historical daily total load data includes the historical total load of multiple transformer areas, and step 102 may include the following sub-steps:

[0080] S11, Match the real-time total load weighting coefficient associated with the real-time total load.

[0081] Real-time total load weighting coefficient: refers to the weight value assigned to the real-time total load in the load forecasting model. It is used to quantify the degree of influence of the real-time total load on the forecasting results and is set based on the timeliness of the data.

[0082] In this embodiment of the invention, the matching is performed according to a preset "data timeliness-influence weight" mapping rule. This rule clearly states that the real-time total load, because it directly reflects the current power consumption status and is most accurate in sensing load changes, needs to be assigned a high weight to ensure the timeliness of the prediction. After locking the real-time total load parameter by identifying the data identifier, the corresponding weight coefficient is automatically matched in the preset mapping rule. After the matching is completed, the coefficient will be directly used for subsequent fusion prediction calculation of real-time total load and historical daily total load data, providing core parameter support for accurately generating the predicted value of the total load of the transformer area.

[0083] S12, Match the historical total load weighting coefficients associated with the historical total load of each transformer area.

[0084] Historical total load weighting coefficient: refers to the weight value assigned to each transformer area in the load forecasting model for the historical total load, which is used to quantify the reference value of the historical load of different transformer areas to the forecast results.

[0085] Historical total load of multiple transformer substations: refers to the historical daily total load data of the target transformer substation and other transformer substations with similar electricity consumption characteristics to the target transformer substation, which is an important reference for load forecasting.

[0086] In this embodiment of the invention, the matching is performed according to the "similarity-weight" mapping rule of the transformer area's electricity consumption characteristics pre-installed in the device. This rule has been pre-calibrated with other transformer areas based on core characteristics such as the number of households, the proportion of charging piles, and peak load periods of the target transformer area. The intelligent control device automatically matches the corresponding similarity level by identifying the data identifier of the historical total load of each transformer area, and then determines the associated historical total load weight coefficient. The transformer area with higher similarity to the target transformer area's electricity consumption characteristics has a larger corresponding weight coefficient, and the sum of all historical total load weight coefficients and the real-time total load weight coefficient are used to adapt to the calculation requirements of the load prediction model. After the matching is completed, the historical total load of each transformer area will correspond one-to-one with its corresponding weight coefficient.

[0087] S13. Perform a multiplication operation using the real-time total load and the real-time total load weighting coefficient to obtain the first multiplication value.

[0088] S14. Perform multiplication calculations using the historical total load of each transformer area and the associated historical total load weighting coefficient to obtain multiple second multiplication values.

[0089] S15. Perform a summation operation using all second multipliers to obtain the first sum.

[0090] S16. Perform a summation operation using the first multiplier and the first summation to obtain the second summation.

[0091] S17. Use all historical total load weighting coefficients to perform a summation operation to obtain the third sum.

[0092] S18. The fourth sum is obtained by using the third sum and the real-time total load weighting coefficient to perform a sum calculation.

[0093] S19. The total load forecast value of the transformer area is obtained by comparing the second sum and the fourth sum.

[0094] For ease of understanding, S13-S19 above are encapsulated in the form of formulas, specifically:

[0095]

[0096] In the formula, This represents the predicted total load for the transformer area. This represents the real-time total load weighting coefficient. Indicates the real-time total load. This indicates the number of transformer substations participating in load forecasting. Indicates the first Historical total load weighting coefficient for each transformer area Indicates the first The historical total load of each station area.

[0097] Step 103: Based on the control data of each charging pile, prioritize each target charging pile and obtain the priority score corresponding to each target charging pile.

[0098] Furthermore, step 103 may include the following sub-steps:

[0099] S21. Based on the control data of each charging pile, determine the priority factor corresponding to each target charging pile. The priority factor includes completion factor, urgency factor, fairness factor and control frequency factor.

[0100] Priority factors: These are the core parameter sets used to quantify the charging demand characteristics of target charging piles and adapt to control rules. They include completion factor, urgency factor, fairness factor, and control frequency factor, and are the basis for calculating priority scores.

[0101] Completion factor: This is obtained by comparing the current charging amount of the charging station with the historical average charging amount, and is used to reflect the progress of the current charging task of the charging station.

[0102] Urgency factor: This is obtained by comparing the current charging time of a charging station with its historical average charging time, and is used to reflect the urgency of the charging station's charging status.

[0103] Fairness factor: This is obtained by comparing the number of times a charging station has successfully responded to commands in the past with the total number of commands received in the past. It is used to assess the degree of cooperation of charging station users with control commands.

[0104] Frequency adjustment factor: refers to the number of times the charging pile has been adjusted within the most recent preset time period. It is used to balance the adjustment frequency of the charging pile and avoid excessive restriction.

[0105] In this embodiment of the invention, for each target charging pile, the device first extracts the current charging amount and the historical average charging amount from its charging pile control data, and obtains the completion factor through ratio calculation; then it extracts the current charging time and the historical average charging time, and generates the urgency factor through ratio calculation; next, it retrieves the number of historical successful response commands and the total number of historical received commands, and obtains the fairness factor through ratio calculation; finally, it counts the number of control operations for the charging pile in the last 2 hours. If the number is greater than or equal to a preset control number threshold, the preset control number threshold is used as the control frequency factor; if it is less than the preset threshold, the actual control number is used directly. Finally, it completely determines the corresponding four priority factors for each target charging pile, providing accurate parameter support for the subsequent calculation of priority scores.

[0106] Furthermore, the charging pile control data includes the current charging amount, current charging duration, historical average charging amount, historical average charging duration, historical successful response command count, historical total number of received commands, and control count. S21 may include the following sub-steps:

[0107] Charged Amount in Current Session: This refers to the cumulative charging amount (unit: kWh) of the target charging pile in the current single charging session, and is the core basic data for calculating the completion factor.

[0108] Current charging duration: refers to the cumulative time (in minutes) from the start of the current single charging session of the target charging pile to the time of data collection, used to quantify the urgency of charging.

[0109] Historical average charging amount: refers to the average charging amount (unit: kWh) of the target charging pile in the last 30 effective charging sessions, which serves as a reference benchmark for measuring the progress of this charging.

[0110] Historical average charging time: refers to the average charging time (in minutes) of the target charging station in the last 30 effective charging sessions, used to determine the urgent priority of the current charging.

[0111] Historical successful response count: This refers to the cumulative number of times the target charging station has successfully received and executed control commands (such as power reduction or charging pause) in the past 7 days. It is a key indicator for assessing user cooperation.

[0112] Total number of historical received instructions: refers to the cumulative number of all control instructions received by the target charging pile in the past 7 days, which is used as the benchmark data for calculating the fairness factor.

[0113] Number of adjustments: refers to the actual number of times the target charging pile has been subject to adjustment commands (power reduction, charging pause, etc.) in the past 2 hours, used to balance the adjustment frequency of the charging pile.

[0114] S21. The completion factor is obtained by comparing the current charge amount with the historical average charge amount.

[0115] For ease of understanding, it is encapsulated in the form of a formula, specifically:

[0116]

[0117] In the formula, Indicates the first The completion factor of the target charging piles in Taiwan. Indicates the first The amount of electricity already charged at the target charging station in Taiwan. Indicates the first The historical average charging volume of the target charging piles.

[0118] S22. The urgency factor is obtained by calculating the ratio between the current charging time and the historical average charging time.

[0119] For ease of understanding, it is encapsulated in the form of a formula, specifically:

[0120]

[0121] In the formula, Indicates the first The urgency factor of the target charging station in Taiwan. Indicates the first The current charging time of the target charging station. Indicates the first The historical average charging time of the target charging piles.

[0122] S23. The fairness factor is obtained by calculating the ratio of the number of historical successful response commands to the total number of historical received commands.

[0123] For ease of understanding, it is encapsulated in the form of a formula, specifically:

[0124]

[0125] In the formula, Indicates the first Fairness factors for target charging stations in Taiwan Indicates the first The number of times the target charging station has successfully responded to commands in its history. Indicates the first The total number of historical commands received by the target charging pile.

[0126] S24. When the number of adjustments is greater than or equal to the preset adjustment number threshold, the preset adjustment number threshold shall be used as the adjustment frequency factor.

[0127] Frequency control factor: a core parameter used to balance the frequency of charging pile control. It is determined based on the comparison between the number of control cycles and the preset control cycle threshold to avoid excessive restriction on a single charging pile.

[0128] Number of adjustments: refers to the actual cumulative number of times the target charging pile has been subject to adjustment commands (power reduction, charging suspension, etc.) within the most recent preset time period (e.g., 2 hours).

[0129] Preset control number threshold: The critical number of times preset in the intelligent control device is used to determine whether there is excessive control of the charging pile, so as to ensure the fairness of the allocation of charging resources. The preset control number threshold is preferably 3 times.

[0130] In this embodiment of the invention, the number of times each target charging pile is controlled (i.e., the actual cumulative number of times control commands are executed in the last 2 hours) is first extracted, and a preset control frequency threshold (e.g., 3 times) is retrieved from the system. The two are then compared in real time. If the number of times a target charging pile is controlled is greater than or equal to the preset threshold, the preset control frequency threshold is directly used as the control frequency factor for that charging pile.

[0131] S25. When the number of adjustments is less than the preset adjustment number threshold, the number of adjustments will be used as the adjustment frequency factor.

[0132] In this embodiment of the invention, if the number of times the charging pile is adjusted is less than a preset threshold, the actual number of adjustments is determined as the adjustment frequency factor.

[0133] This differentiated setting avoids over-regulation of a single charging station, ensures the fairness of charging resource allocation, and ultimately determines four priority factors for each target charging station.

[0134] S22, the priority weight coefficients associated with the matching completion factor, urgency factor, fairness factor and regulation frequency factor.

[0135] Priority weight coefficient: A preset coefficient used to quantify the degree of influence of priority factors on priority scores, such as the priority weight coefficient associated with completion factor, priority weight coefficient associated with urgency factor, priority weight coefficient associated with fairness factor, and priority weight coefficient associated with regulation frequency factor. The weight value is set according to the balance between the power distribution safety needs of the transformer area and the user charging experience.

[0136] In this embodiment of the invention, the priority weight coefficient is pre-set in the priority scoring model of the intelligent control device. Based on the principle of prioritizing power distribution safety in the distribution area and taking into account user experience, the preferred values ​​are set (such as K1=0.2, K2=0.3, K3=0.3, K4=0.2). The device automatically matches the corresponding priority weight coefficient for each factor by identifying the parameter identifiers of the completion factor, urgency factor, fairness factor, and control frequency factor. After the matching is completed, each factor and its corresponding weight coefficient will work together to participate in the comprehensive calculation of the subsequent priority score.

[0137] S23. Based on the completion factor, urgency factor, fairness factor and regulation frequency factor, the priority weight coefficient is used to couple the factors to obtain the priority score corresponding to each target charging pile.

[0138] Furthermore, S23 may include the following sub-steps:

[0139] S231. The completion factor, urgency factor, fairness factor and regulation frequency factor are multiplied with the associated priority weight coefficient to obtain multiple third multiplication values ​​corresponding to each target charging pile.

[0140] S232. Perform summation operations using multiple third-multiplication values ​​corresponding to each target charging pile to obtain the priority score corresponding to each target charging pile.

[0141] For ease of understanding, it is encapsulated in the form of a formula, specifically:

[0142]

[0143] In the formula, Indicates the first The priority score of the target charging station. This represents the priority weight coefficient associated with the completion factor. This represents the priority weight coefficient associated with the urgency factor. The priority weight coefficients representing the association of fairness factors. This represents the priority weight coefficient associated with the frequency control factor.

[0144] Step 104: Determine the control level of the target transformer area based on the predicted total load of the transformer area, the real-time total load, and the time-of-use available capacity limit.

[0145] Furthermore, step 104 may include the following sub-steps:

[0146] S31. The current load rate is obtained by calculating the ratio between the real-time total load and the time-sharing available capacity limit.

[0147] For ease of understanding, it is encapsulated in the form of a formula, specifically:

[0148]

[0149] In the formula, Indicates the current load rate. This indicates the maximum available capacity during time-sharing.

[0150] S32. The predicted load rate is obtained by calculating the ratio between the total load forecast of the transformer area and the time-of-use available capacity limit.

[0151] For ease of understanding, it is encapsulated in the form of a formula, specifically:

[0152]

[0153] In the formula, This indicates the predicted load factor.

[0154] S33. Based on the current load rate and the predicted load rate, determine the control level of the target transformer area.

[0155] The first preset control level range refers to the range where the current load rate is ≤70%, which corresponds to the load rate range where the power load of the transformer area is within a safe and controllable range.

[0156] The second preset control level range refers to the range where the current load rate is between 70% and 80% (excluding 80%), which is the load rate range in which the load of the transformer area transitions from safe to tense.

[0157] The third preset control level range refers to the range where the current load rate is ≥80%, corresponding to the high-risk load rate range where the power load of the transformer area is approaching or exceeding the safety threshold.

[0158] Preset warning level range: refers to the range where the predicted load rate is between 70% and 80% (excluding 80%), used to predict the range where the load in the transformer area may enter a tense state in the future.

[0159] Early warning control level: refers to the control level when the predicted load rate is within the preset early warning range. Only an early warning prompt is triggered, and no load adjustment is performed.

[0160] Safety control level: refers to the control level when the current load rate is in the first preset range and the predicted load rate has not reached the warning range. The load of the transformer area is safe and charging of the paused / reduced charging piles can be resumed.

[0161] Transitional control level: refers to the control level when the current load rate is in the second preset range. The load of the transformer area is in a transitional state, maintaining the current charging state and continuously monitoring.

[0162] Emergency control level: This refers to the control level when the current load rate is in the third preset range. The area is at high risk of load reduction and adjustment must be implemented immediately.

[0163] Furthermore, S33 may also include the following sub-steps:

[0164] S331. Determine whether the current load rate is within the first preset control level range.

[0165] In this embodiment of the invention, step S331 is first executed to determine whether the current load rate is within the first preset control level range (i.e., ≤70%).

[0166] S332. When the current load rate is within the first preset control level range, determine whether the predicted load rate is within the preset warning level range.

[0167] In this embodiment of the invention, if the current load rate is within this range, then proceed to step S332 to further determine whether the predicted load rate is within the preset warning level range (i.e., 70%~80%).

[0168] S333. If the predicted load rate is within the preset warning level range, the target transformer area is determined to be at the warning control level.

[0169] In this embodiment of the invention, if the predicted load rate is within the warning range, step S333 is executed to determine that the target area is at the warning control level, and only the system warning prompt is triggered without adjusting the charging status.

[0170] S334. When the predicted load rate is not within the preset warning level range, the target transformer area is determined to be at the safe control level.

[0171] In this embodiment of the invention, if the predicted load rate is not within the warning range, step S334 is executed to determine the target area as a safe control level, in preparation for the subsequent restoration of charging at the relevant charging piles.

[0172] S335. When the current load rate is within the second preset control level range, the target transformer area is determined to be at the transition control level.

[0173] In this embodiment of the invention, if step S331 determines that the current load rate is not in the first preset range, then the range to which it belongs continues to be determined: if the current load rate is in the second preset control level range (70%~80%), then step S335 is executed to determine that the target station area is in the transition control level, maintain the existing charging state and monitor load changes in real time.

[0174] S336. When the current load rate is within the third preset control level range, the target area is determined to be at the emergency control level.

[0175] In this embodiment of the invention, if the current load rate is in the third preset control level range (≥80%), then step S336 is executed to determine that the target area is at the emergency control level and load reduction related control operations need to be started immediately to ensure that the load of the area is within the safe threshold.

[0176] Step 105: When the control level is the preset target control level, the control is applied to each target charging pile based on the priority score.

[0177] Furthermore, the preset target control level is any one of the following: a safe control level, a transitional control level, and an emergency control level. Step 105 may also include the following sub-steps:

[0178] Preset high-risk range: refers to the range where the predicted load rate is between 80% and 90% (excluding 90%). It is used to determine whether the future load of the transformer area is approaching the emergency threshold under the transition control level, and is the key basis for triggering power reduction operation.

[0179] Preset power threshold: The power threshold of the charging pile is preset in the intelligent control device (preferably 7kW, based on the rated power of mainstream home charging piles), which is used to screen high-load charging piles that need to be prioritized for power reduction under the transition control level.

[0180] Power-on command: refers to the control command to restore the charging pile to normal charging status. It includes parameter configuration to restore the power to the rated value (such as 7kW / 11kW, matching the original rated power of the charging pile). It is applicable to restarting the charging pile that has been paused / reduced in power under the safety control level.

[0181] Power reduction command: This refers to the control command to reduce the charging power of the charging pile. By default, the power will be reduced to a preset low power threshold (such as 3kW), or reduced by 50% of the current power (the lower of the two values) to smoothly reduce the load.

[0182] Pause command: refers to the control command to terminate the current charging session of the charging pile. It includes the logic of disconnecting the charging circuit and preserving the charging progress. It is suitable for quickly reducing the total load under emergency control levels.

[0183] Warning instruction: refers to a prompt message that is pushed to the system backend, property operation and maintenance terminal and user charging APP at the same time. It includes the current load rate, predicted load trend and suggestions (such as "suggesting off-peak charging"), without adjusting the charging pile status.

[0184] S41. When the preset target control level is the safety control level, the closing command is issued to the target charging pile in the pause / power reduction state in descending order of priority score.

[0185] In this embodiment of the invention, if the safety control level is determined, the device first filters out all target charging piles in the area that are in a suspended state or operating at reduced power (power less than 50% of the rated value) through charging pile status feedback data. Simultaneously, it retrieves the priority scores already calculated for each charging pile and generates a charging recovery queue in descending order of scores. To avoid sudden load increases, a "batch recovery + load monitoring" mechanism is adopted: each batch only sends a closing command to the first 3 charging piles in the queue, with the command carrying the rated power parameters of the charging pile (e.g., 7kW), and monitors the changes in the total load of the area in real time; if the current load rate is still ≤65% after recovery (below the upper limit of the safety control level of 70%), the next batch of closing commands is sent after a 30-second interval until all suspended / reduced high-priority charging piles are fully recovered, or the current load rate approaches 70%, ensuring a smooth load recovery.

[0186] S42. When the preset target control level is the transition control level, determine whether the predicted load rate is in the preset high-risk range.

[0187] In this embodiment of the invention, if it is determined to be an over-regulation level, the predicted load rate is retrieved first to determine whether it is in the preset high-risk range (80%~90%).

[0188] S43. When the predicted load rate is in the preset high-risk range, target charging piles with real-time power greater than the preset power threshold are selected as charging piles to be regulated.

[0189] In this embodiment of the invention, if the target charging pile is in the preset high-risk range, the current output power of all the target charging piles that are charging is obtained through the real-time power acquisition module, and the charging piles with real-time power > 7kW (preset power threshold) are selected as the charging piles to be controlled.

[0190] S44. Issue power reduction commands to the charging piles to be controlled in ascending order of priority scores.

[0191] In this embodiment of the invention, the charging piles to be controlled are sorted in ascending order of priority score from smallest to largest, and power reduction instructions are sent to the charging piles with the highest priority in the order. After each instruction is sent, the total load of the area is monitored in real time until the predicted load rate drops below 75% or there are no charging piles to be controlled that meet the conditions. If a charging pile still fails to reach the load control target after power reduction, the power reduction operation is performed on the next low-priority charging pile after 10 seconds.

[0192] S45. When the preset target control level is the emergency control level, a pause command is issued to the target charging pile in ascending order of priority score.

[0193] In this embodiment of the invention, the priority scores of all target charging piles that are currently charging are directly retrieved, and a pause queue is generated in ascending order of scores from smallest to largest. The charging pile with the lowest score is selected first to issue a pause command. For each charging pile that is paused, real-time total load data is collected simultaneously to determine whether it has dropped below the safety threshold (75%). If it has not reached the threshold, the next charging pile in the queue is paused until the load reaches the threshold or all low-priority charging piles are paused. At the same time, a prompt is pushed to the user's APP: "Charging is temporarily suspended due to grid load shortage. It will automatically resume charging after the grid load is restored."

[0194] S46. If the predicted load rate is not in the preset high-risk range, a warning command will be sent.

[0195] In this embodiment of the invention, if the predicted load rate under the transition control level is not in the preset high-risk range, an early warning instruction is immediately generated, which includes "Current load rate of the transformer area is 72%, and it is predicted to rise to 78% in 10 minutes. It is recommended to charge during off-peak hours." The instruction is simultaneously pushed to the system backend (forming an operation and maintenance log), the property operation and maintenance terminal (pop-up reminder), and the user's APP that is currently charging (message notification). Subsequently, the load data is updated every 2 minutes to continuously monitor whether the high-risk range threshold is triggered.

[0196] Furthermore, it may also include the following steps:

[0197] Step 106: When the control level is the early warning control level, the current load rate, the predicted load rate, and the load increase trend are integrated to generate early warning information, which is simultaneously pushed to the system backend, the mobile terminal of the operation and maintenance personnel, and the user's charging APP. The load data is updated every minute to continuously monitor load changes.

[0198] Warning information: Structured prompts integrating current load rate, predicted load rate, and load increase trend to adapt to different terminal needs.

[0199] Load increase trend: The growth rate of the next 5-10 minutes is estimated based on the load changes in the past 3 minutes, and the urgency of the warning is quantified.

[0200] In this embodiment of the invention, after determining the warning and control level, the current load rate, predicted load rate, and load increase trend data are immediately extracted to generate standardized warning information. The system backend pushes structured logs containing the transformer area number, warning time, and core load parameters; a pop-up notification of "Transformer area load warning, prepare for control" is pushed to the mobile terminals of maintenance personnel; and a gentle notification of "Current charging is normal, it is recommended to start charging during off-peak hours for non-urgent needs" is pushed to the user's charging APP. Load data is then updated every minute for continuous monitoring: if the predicted load rate rises to 80%, it automatically switches to a transitional control level; if it drops below 70%, a warning cancellation notification is pushed; if the load remains within the warning range, data is updated periodically to ensure real-time monitoring of the dynamics.

[0201] Please see Figure 2 , Figure 2 This is a structural block diagram of a new energy vehicle charging control system provided in an embodiment of the present invention.

[0202] This invention provides a new energy vehicle charging control system, comprising:

[0203] The response module 201 is used to respond to charging control requests, obtain historical daily total load data, real-time total load and time-of-use available capacity upper limit of the target area, and charging pile control data of each target charging pile in the target area.

[0204] The prediction module 202 is used to make predictions using real-time total load and historical daily total load data to obtain the predicted value of the total load of the transformer area;

[0205] The scoring module 203 is used to score the priority of each target charging pile based on the control data of each charging pile, and obtain the priority score corresponding to each target charging pile.

[0206] Processing module 204 is used to determine the control level of the target transformer area based on the predicted total load of the transformer area, the real-time total load, and the time-of-use available capacity limit;

[0207] The control module 205 is used to control each target charging pile based on priority scores when the control level is the preset target control level.

[0208] Furthermore, the historical daily total load data includes the historical total load of multiple transformer areas. The prediction module 202 includes:

[0209] The first matching submodule is used to match the real-time total load weighting coefficient associated with the real-time total load.

[0210] The second matching submodule is used to match the historical total load weighting coefficient associated with the historical total load of each transformer area;

[0211] The first multiplication submodule is used to perform a multiplication operation using the real-time total load and the real-time total load weighting coefficient to obtain the first multiplication value;

[0212] The second multiplication submodule is used to perform multiplication operations using the historical total load of each transformer area and the associated historical total load weighting coefficient to obtain multiple second multiplication values.

[0213] The first sum submodule is used to perform sum operations using all second multipliers to obtain the first sum;

[0214] The second sum submodule is used to perform a sum operation on the first multiplication value and the first sum value to obtain the second sum value;

[0215] The third sum submodule is used to perform sum calculations using all historical total load weighting coefficients to obtain the third sum.

[0216] The fourth sum submodule is used to perform a sum calculation using the third sum and the real-time total load weighting coefficient to obtain the fourth sum.

[0217] The submodule for predicting the total load of the transformer area is used to calculate the ratio between the second sum and the fourth sum to obtain the predicted total load of the transformer area.

[0218] Furthermore, the scoring module 203 includes:

[0219] The priority factor submodule is used to determine the priority factor corresponding to each target charging pile based on the control data of each charging pile. The priority factor includes completion factor, urgency factor, fairness factor and control frequency factor.

[0220] The third matching submodule is used to match the priority weight coefficients associated with the completion factor, urgency factor, fairness factor and regulation frequency factor;

[0221] The coupling submodule is used to couple based on completion factor, urgency factor, fairness factor and regulation frequency factor, using priority weight coefficients to obtain the priority score corresponding to each target charging pile.

[0222] Furthermore, the charging pile control data includes the current charging amount, current charging duration, historical average charging amount, historical average charging duration, historical successful response to commands, historical total number of commands received, and number of control operations. The priority factor submodule includes:

[0223] The completion factor unit is used to calculate the completion factor by comparing the current charge amount with the historical average charge amount.

[0224] The urgency factor unit is used to calculate the urgency factor by comparing the current charging time with the historical average charging time.

[0225] The fairness factor unit is used to calculate the fairness factor by comparing the number of historical successful response commands with the total number of historical received commands.

[0226] The first comparison unit is used to use the preset control number threshold as the control frequency factor when the number of control operations is greater than or equal to the preset control number threshold.

[0227] The second comparison unit is used to use the number of adjustments as the adjustment frequency factor when the number of adjustments is less than the preset adjustment number threshold.

[0228] Furthermore, the coupling submodule includes:

[0229] The third multiplication unit is used to multiply the completion factor, urgency factor, fairness factor and regulation frequency factor with the associated priority weight coefficient to obtain multiple third multiplication values ​​corresponding to each target charging pile.

[0230] The priority score unit is used to perform summation operations on multiple third multiplication values ​​corresponding to each target charging pile to obtain the priority score corresponding to each target charging pile.

[0231] Furthermore, the processing module 204 includes:

[0232] The current load rate submodule is used to calculate the current load rate by comparing the real-time total load with the time-sharing available capacity limit.

[0233] The predicted load rate submodule is used to calculate the predicted load rate by comparing the predicted total load of the transformer area with the upper limit of the time-of-use available capacity.

[0234] The level determination submodule is used to determine the control level of the target transformer area based on the current load rate and the predicted load rate.

[0235] Furthermore, the level determination submodule includes:

[0236] The first judgment unit is used to determine whether the current load rate is within the first preset control level range;

[0237] The second judgment unit is used to determine whether the predicted load rate is within the preset warning level range when the current load rate is within the first preset control level range.

[0238] The early warning and control level unit is used to determine the target transformer area as an early warning and control level if the predicted load rate is within the preset early warning level range.

[0239] The safety control level unit is used to determine the target area as a safety control level when the predicted load rate is not within the preset warning level range.

[0240] The transition control level unit is used to determine the target transformer area as a transition control level when the current load rate is within the second preset control level range.

[0241] The emergency control level unit is used to determine the target transformer area as an emergency control level when the current load rate is in the third preset control level range.

[0242] Furthermore, the preset target control level is any one of a safety control level, a transitional control level, and an emergency control level. The control module 205 includes:

[0243] The closing instruction submodule is used to issue closing instructions to target charging piles in a paused / reduced power state in descending order of priority score when the preset target control level is the safety control level.

[0244] The high-risk judgment submodule is used to determine whether the predicted load rate is in the preset high-risk range when the preset target control level is the transition control level.

[0245] The charging pile to be regulated sub-module is used to select target charging piles with real-time power greater than a preset power threshold as charging piles to be regulated when the predicted load rate is in a preset high-risk range.

[0246] The power reduction instruction submodule is used to issue power reduction instructions to the charging piles to be controlled in ascending order of priority score;

[0247] The pause command submodule is used to issue pause commands to the target charging piles in ascending order of priority scores when the preset target control level is the emergency control level.

[0248] Furthermore, it also includes:

[0249] The early warning instruction submodule is used to push early warning instructions when the predicted load rate is not in the preset high-risk range.

[0250] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0251] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between apparatuses or units, and may be electrical, mechanical, or other forms.

[0252] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0253] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0254] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0255] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention 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 spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A new energy vehicle charging regulation method, characterized in that, The method comprises the following steps: in response to a charging regulation request, obtaining historical daily total load data, real-time total load and time-sharing available capacity upper limit of a target transformer area, and charging pile regulation data of each target charging pile in the target transformer area; using the real-time total load and the historical daily total load data for prediction to obtain a transformer area total load prediction value; based on each charging pile regulation data, priority score of each target charging pile is obtained to obtain priority score corresponding to each target charging pile; based on the transformer area total load prediction value, the real-time total load and the time-sharing available capacity upper limit, a regulation level of the target transformer area is determined; when the regulation level is a preset target regulation level, each target charging pile is regulated based on the priority score.

2. The new energy vehicle charging regulation method according to claim 1, characterized in that, The historical daily total load data includes multiple transformer area historical total loads, and the transformer area total load prediction value is obtained by using the real-time total load and the historical daily total load data for prediction, which comprises the following steps: matching the real-time total load weight coefficient associated with the real-time total load; matching the historical total load weight coefficient associated with each transformer area historical total load; using the real-time total load and the real-time total load weight coefficient for multiplication operation to obtain a first multiplication value; using each transformer area historical total load and the associated historical total load weight coefficient for multiplication operation to obtain multiple second multiplication values; using all the second multiplication values for sum value operation to obtain a first sum value; using the first multiplication value and the first sum value for sum value operation to obtain a second sum value; using all the historical total load weight coefficients for sum value operation to obtain a third sum value; using the third sum value and the real-time total load weight coefficient for sum value operation to obtain a fourth sum value; using the second sum value and the fourth sum value for ratio operation to obtain a transformer area total load prediction value.

3. The new energy vehicle charging regulation method according to claim 1, characterized in that, Based on each charging pile regulation data, priority score of each target charging pile is obtained to obtain priority score corresponding to each target charging pile, which comprises the following steps: based on each charging pile regulation data, priority factor corresponding to each target charging pile is determined, the priority factor includes completion degree factor, emergency degree factor, fairness factor and regulation frequency factor; matching the priority weight coefficient associated with the completion degree factor, the emergency degree factor, the fairness factor and the regulation frequency factor; based on the completion degree factor, the emergency degree factor, the fairness factor and the regulation frequency factor, the priority weight coefficient is coupled to obtain priority score corresponding to each target charging pile.

4. The new energy vehicle charging regulation method according to claim 3, characterized in that, The charging pile regulation data includes this time charged amount, current charging duration, historical average charging amount, historical average charging duration, historical successful response instruction number, historical total received instruction number and regulation number, and based on each charging pile regulation data, priority factor corresponding to each target charging pile is determined, which comprises the following steps: using the this time charged amount and the historical average charging amount for ratio operation to obtain the completion degree factor; using the current charging duration and the historical average charging duration for ratio operation to obtain the emergency degree factor; The historical success response instruction number is subjected to ratio operation with the historical total received instruction number to obtain the fairness factor; When the regulation number is greater than or equal to a preset regulation number threshold, the preset regulation number threshold is taken as the regulation frequency factor; When the regulation number is less than the preset regulation number threshold, the regulation number is taken as the regulation frequency factor.

5. The new energy vehicle charging regulation method according to claim 3, characterized in that, The priority weight coefficient is coupled based on the completion degree factor, the urgency degree factor, the fairness factor and the regulation frequency factor to obtain a priority score corresponding to each target charging pile, including: The completion degree factor, the urgency degree factor, the fairness factor and the regulation frequency factor are subjected to multiplication operation with the associated priority weight coefficient respectively to obtain a plurality of third multiplications corresponding to each target charging pile. The third multiplications corresponding to each target charging pile are subjected to sum value operation respectively to obtain a priority score corresponding to each target charging pile.

6. The new energy vehicle charging regulation method according to any one of claims 1-5, characterized in that, The regulation level of the target transformer area is determined based on the total transformer area load prediction value, the real-time total load and the time-sharing available capacity upper limit, including: The real-time total load is subjected to ratio operation with the time-sharing available capacity upper limit to obtain a current load rate; The total transformer area load prediction value is subjected to ratio operation with the time-sharing available capacity upper limit to obtain a prediction load rate; The regulation level of the target transformer area is determined based on the current load rate and the prediction load rate.

7. The new energy vehicle charging regulation method according to claim 6, characterized in that, The regulation level of the target transformer area is determined based on the current load rate and the prediction load rate, including: It is judged whether the current load rate is in a first preset regulation level interval; When the current load rate is in the first preset regulation level interval, it is judged whether the prediction load rate is in a preset warning level interval; If the prediction load rate is in the preset warning level interval, it is determined that the target transformer area is in a warning regulation level; When the prediction load rate is not in the preset warning level interval, it is determined that the target transformer area is in a safe regulation level; When the current load rate is in a second preset regulation level interval, it is determined that the target transformer area is in a transition regulation level; When the current load rate is in a third preset regulation level interval, it is determined that the target transformer area is in an emergency regulation level.

8. The new energy vehicle charging regulation method according to claim 7, characterized in that, The preset target regulation level is any one of the safe regulation level, the transition regulation level and the emergency regulation level, and when the regulation level is a preset target regulation level, each target charging pile is regulated based on the priority score, including: When the preset target regulation level is the safe regulation level, the target charging pile in the suspended / descending power state is issued a closing instruction in descending order of the priority score; When the preset target regulation level is the transition regulation level, it is judged whether the prediction load rate is in a preset high-risk interval; When the prediction load rate is in the preset high-risk interval, the target charging pile with a real-time power greater than a preset power threshold is selected as a to-be-regulated charging pile; The power reduction instruction is issued to the to-be-regulated charging pile in ascending order of the priority score; When the preset target regulation level is the emergency regulation level, a suspension instruction is issued to the target charging pile in ascending order of the priority score.

9. The new energy vehicle charging regulation method according to claim 8, characterized in that, Also includes: When the predicted load rate is not in the preset high-risk interval, a warning instruction is pushed.

10. A new energy vehicle charging regulation system, characterized in that, Includes: A response module for responding to a charging regulation request, obtaining historical daily total load data, real-time total load, and upper limit of time-sharing available capacity of a target area, and charging pile regulation data of each target charging pile in the target area; A prediction module for predicting the real-time total load and the historical daily total load data to obtain a total load prediction value of the area; A scoring module for scoring the priority of each target charging pile based on the charging pile regulation data to obtain a priority score corresponding to each target charging pile; A processing module for determining a regulation level of the target area based on the total load prediction value of the area, the real-time total load, and the upper limit of time-sharing available capacity; A regulation module for regulating each target charging pile based on the priority score when the regulation level is a preset target regulation level.

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