Intelligent power adjusting method and system for electric vehicle charging operation platform

Abstract

The invention discloses an intelligent power regulation method and system for an electric vehicle charging operation platform, and the method comprises the steps: carrying out the orderly charging inspection, and updating the state of a charging pile based on the inspection content; real-time power data of the charging pile are counted, the power of the charging pile is limited based on the real-time power data, when control is needed, limitation is specifically carried out based on a charging pile dynamic control algorithm, and the algorithm content at least comprises charging gun number calculation, charging gun priority calculation and single charging gun dynamic power limit value calculation; and when control is not needed, the current limited power is recovered to a normal state, and the state of the charging pile is synchronously updated. By dynamically adjusting the power output of the charging pile, the charging speed can be properly reduced in the peak period of power utilization, so that the load of a power grid is reduced, the energy use efficiency is improved, and the stability of the power grid and the charging activity continuity of the charging pile are guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of charging control technology, and more specifically, to an intelligent power regulation method and system for an electric vehicle charging operation platform. Background Art

[0002] With the rapid growth in the number of electric vehicles, the power grid is facing huge pressure from charging demand, especially during peak hours of electricity consumption. Centralized charging may cause power grid overload or even local power outages.

[0003] Most existing charging solutions adopt a fixed power output mode and fail to flexibly adjust according to the grid load and real-time power supply and demand. Although this method is simple, it lacks intelligence and can easily cause the power system to be overloaded during peak hours, affecting the stability of the grid and even causing power outages.

[0004] In addition, although some existing charging control systems have introduced power regulation functions, they usually rely on complex hardware deployment, with high implementation costs and difficult maintenance, which limits their large-scale application and promotion. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent power regulation method and system for an electric vehicle charging operation platform. By dynamically adjusting the power output of charging piles, the charging speed can be appropriately reduced during peak power consumption periods, thereby reducing the load on the power grid, improving energy utilization efficiency, and ensuring the stability of the power grid and the continuity of charging activities of charging piles.

[0006] A first aspect of the present invention provides an intelligent power regulation method for an electric vehicle charging operation platform, comprising the following steps:

[0007] Perform orderly charging inspection and update the status of the charging pile based on the inspection results;

[0008] The real-time power data of the charging pile is counted, and the power of the charging pile is limited based on the real-time power data, wherein:

[0009] When control is required, the restriction is specifically based on the dynamic control algorithm of the charging pile. The algorithm content at least includes the calculation of the number of charging guns, the calculation of the priority of charging guns and the calculation of the dynamic power limit of a single charging gun;

[0010] When no control is needed, the currently limited power is restored to a normal state, and the charging pile state is updated synchronously.

[0011] In this solution, the orderly charging inspection is performed and the charging pile status is updated based on the inspection content, specifically including:

[0012] Performing an orderly charging check based on an execution period, wherein the execution period includes 5 minutes;

[0013] Check the effective charging plan at the current time point, verify whether the date and time meet the set conditions, and if the conditions are met, update the charging pile status to the executing status.

[0014] In this solution, the real-time power data of the charging pile is counted, and the power of the charging pile is limited based on the real-time power data, specifically including:

[0015] Acquiring voltage, current and SOC data based on a collection period, wherein the collection period includes 40 seconds;

[0016] In combination with the power points collected at the initial 0 second and the halfway 30 seconds in each minute during the execution cycle, target data points are obtained, wherein the target data points include 10 points;

[0017] The power in the target data point is compared with the maximum load limit to determine whether the power of the charging pile needs to be limited, wherein if the power in the target data point exceeds the maximum load limit, the power of the charging pile is limited; otherwise, no limit is imposed.

[0018] In this solution, the calculation of the number of charging guns specifically includes:

[0019] Calculate the total power reduction as follows:

[0020] P reduce =P total -P max ;

[0021] Among them, P total is the total power of the charging guns on all current charging piles, P max is the power limit of the current period, P reduce Indicates the total power reduction amount;

[0022] The load range P is calculated based on the total power reduction amount. allow , the calculation formula is as follows:

[0023]

[0024] Among them, P i is the current power of each charging gun, Percentmin i is the minimum power percentage limit of a single charging gun, and N is the number of charging guns being charged;

[0025] Calculate the number of charging guns N based on the total power reduction and the load range ctrl , the calculation formula is as follows:

[0026]

[0027] Among them, N charging It is the number of charging guns currently being charged.

[0028] In this solution, the charging gun priority calculation and the single charging gun dynamic power limit calculation specifically include:

[0029] Calculate the charging gun priority score i , the calculation formula is as follows:

[0030]

[0031] Among them, SOC i The current power status of the battery corresponding to the charging gun, Charge Type Factor i is the type factor of fast charge or slow charge, is the weight of the charging gun in the total power, α, β, γ are adjustable weight coefficients, where α=0.2, β=0.5, γ=0.3;

[0032] Calculate the dynamic power limit of a single charging gun as follows:

[0033]

[0034] in, is the dynamic power limit of the i-th charging gun, P i is the current power output of the charging gun, Percentmin i is the minimum power percentage limit of a single charging gun, N ctrl Is the number of charging guns.

[0035] In this solution, when no control is required, the currently limited power is restored to a normal state, and the charging pile state is updated synchronously, specifically including:

[0036] When charging is finished or an orderly charging check is performed based on the execution cycle, if no control is required, a power control cancellation command is output to restore the power currently limited by the charging pile to a normal state;

[0037] The charging pile status corresponding to the completed charging task award is extracted and updated to the executed status, and the control command that is still in the executing status before the set time is updated to the timeout status, wherein the set time includes 2 minutes.

[0038] The second aspect of the present invention further provides an intelligent power regulation system for an electric vehicle charging operation platform, comprising a memory and a processor, wherein the memory comprises an intelligent power regulation method program for an electric vehicle charging operation platform, and when the intelligent power regulation method program for an electric vehicle charging operation platform is executed by the processor, the following steps are implemented:

[0039] Perform orderly charging inspection and update the status of the charging pile based on the inspection results;

[0040] The real-time power data of the charging pile is counted, and the power of the charging pile is limited based on the real-time power data, wherein:

[0041] When control is required, the restriction is specifically based on the dynamic control algorithm of the charging pile. The algorithm content at least includes the calculation of the number of charging guns, the calculation of the priority of charging guns and the calculation of the dynamic power limit of a single charging gun;

[0042] When no control is needed, the currently limited power is restored to a normal state, and the charging pile state is updated synchronously.

[0043] In this solution, the orderly charging inspection is performed and the charging pile status is updated based on the inspection content, specifically including:

[0044] Performing an orderly charging check based on an execution period, wherein the execution period includes 5 minutes;

[0045] Check the effective charging plan at the current time point, verify whether the date and time meet the set conditions, and if the conditions are met, update the charging pile status to the executing status.

[0046] In this solution, the real-time power data of the charging pile is counted, and the power of the charging pile is limited based on the real-time power data, specifically including:

[0047] Acquiring voltage, current and SOC data based on a collection period, wherein the collection period includes 40 seconds;

[0048] In combination with the power points collected at the initial 0 second and the halfway 30 seconds in each minute during the execution cycle, target data points are obtained, wherein the target data points include 10 points;

[0049] The power in the target data point is compared with the maximum load limit to determine whether the power of the charging pile needs to be limited, wherein if the power in the target data point exceeds the maximum load limit, the power of the charging pile is limited; otherwise, no limit is imposed.

[0050] In this solution, the calculation of the number of charging guns specifically includes:

[0051] Calculate the total power reduction as follows:

[0052] P reduce =P total -P max ;

[0053] Among them, P total is the total power of the charging guns on all current charging piles, P max is the power limit of the current period, P reduce Indicates the total power reduction amount;

[0054] The load range P is calculated based on the total power reduction amount. allow , the calculation formula is as follows:

[0055]

[0056] Among them, P i is the current power of each charging gun, Percentmin i is the minimum power percentage limit of a single charging gun, and N is the number of charging guns being charged;

[0057] Calculate the number of charging guns N based on the total power reduction and the load range ctrl , the calculation formula is as follows:

[0058]

[0059] Among them, N charging It is the number of charging guns currently being charged.

[0060] In this solution, the charging gun priority calculation and the single charging gun dynamic power limit calculation specifically include:

[0061] Calculate the charging gun priority score i , the calculation formula is as follows:

[0062]

[0063] Among them, SOC i The current power status of the battery corresponding to the charging gun, Charge Type Factor i is the type factor of fast charge or slow charge, is the weight of the charging gun in the total power, α, β, γ are adjustable weight coefficients, where α=0.2, β=0.5,

[0064] γ = 0.3;

[0065] Calculate the dynamic power limit of a single charging gun as follows:

[0066]

[0067] in, is the dynamic power limit of the i-th charging gun, P i is the current power output of the charging gun, Percentmin i is the minimum power percentage limit of a single charging gun, N ctrl Is the number of charging guns.

[0068] In this solution, when no control is required, the currently limited power is restored to a normal state, and the charging pile state is updated synchronously, specifically including:

[0069] When charging is finished or an orderly charging check is performed based on the execution cycle, if no control is required, a power control cancellation command is output to restore the power currently limited by the charging pile to a normal state;

[0070] The charging pile status corresponding to the completed charging task award is extracted and updated to the executed status, and the control command that is still in the executing status before the set time is updated to the timeout status, wherein the set time includes 2 minutes.

[0071] A third aspect of the present invention provides a computer-readable storage medium, which includes a machine-readable program for an intelligent power regulation method for an electric vehicle charging operation platform. When the program for the intelligent power regulation method for an electric vehicle charging operation platform is executed by a processor, the steps of the intelligent power regulation method for an electric vehicle charging operation platform as described in any one of the above items are implemented.

[0072] The present invention discloses an intelligent power regulation method and system for an electric vehicle charging operation platform, which can appropriately reduce the charging speed during peak power consumption hours by dynamically adjusting the power output of charging piles, thereby reducing the load on the power grid, improving energy utilization efficiency, and ensuring the stability of the power grid and the continuity of charging activities of charging piles. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 A flow chart of an intelligent power regulation method for an electric vehicle charging operation platform of the present invention is shown;

[0074] Figure 2 A block diagram of an intelligent power regulation system for an electric vehicle charging operation platform of the present invention is shown. DETAILED DESCRIPTION

[0075] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0076] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0077] In view of the lack of intelligent dynamic regulation and high implementation cost in the prior art, the present invention proposes an intelligent power regulation method and system for an electric vehicle charging operation platform. The present invention realizes intelligent power regulation by adding an orderly charging scheme setting to the charging operation WEB platform and introducing an orderly charging inspection task in the computing service, while ensuring that the charging pile supports dynamic power control commands and cancels control commands. Compared with the traditional fixed power output method, the present invention does not require additional complex hardware deployment, has lower implementation cost and maintenance difficulty, and is easy to promote and apply. In addition, the system improves energy efficiency, effectively alleviates the pressure on the power grid, ensures the stability and continuity of charging activities, and has significant practicality and economic benefits.

[0078] Specifically, Figure 1 A flow chart of an intelligent power regulation method for an electric vehicle charging operation platform of the present application is shown.

[0079] like Figure 1 As shown, the present application discloses an intelligent power regulation method for an electric vehicle charging operation platform, comprising the following steps:

[0080] S102, performing an orderly charging inspection and updating the charging pile status based on the inspection content;

[0081] S104, collecting real-time power data of the charging pile, and limiting the power of the charging pile based on the real-time power data;

[0082] S106: When control is required, the charging pile is restricted based on a dynamic control algorithm, where the algorithm includes at least calculation of the number of charging guns, calculation of the priority of charging guns, and calculation of the dynamic power limit of a single charging gun;

[0083] S108, when no control is needed, the currently limited power is restored to a normal state, and the charging pile state is updated synchronously.

[0084] It should be noted that, in this embodiment, the present invention is composed of three core parts, namely, an electric vehicle charging operation platform (WEB platform), a computing service and a dynamic control of charging piles. Among them, on the basis of the electric vehicle charging operation platform, the computing process and the dynamic control of charging piles are described in detail. Among them, the functions of the charging operation platform are as follows: The charging operation platform adds an orderly charging plan setting function, allowing each charging station to be configured with multiple plans, each plan includes a name, an activation time, multiple time periods and corresponding power limits (unit: kW), and the plan time periods cannot overlap, and the past time periods cannot be set to ensure real-time and effectiveness.

[0085] Furthermore, in a specific implementation, an orderly charging check is performed, and the charging pile status is updated based on the check content, wherein the check needs to be performed based on an execution cycle, which will be specifically described in the subsequent instructions, and the real-time power data of the charging pile is counted, so as to limit the power of the charging pile based on the real-time power data, wherein, when control is required, the limitation is specifically based on the charging pile dynamic control algorithm, and the algorithm content includes at least the calculation of the number of charging guns, the calculation of the priority of the charging guns, and the calculation of the dynamic power limit of a single charging gun, and the specific charging pile dynamic control process will be described in detail in the subsequent instructions, and when no control is required, the currently limited power is restored to a normal state, and the charging pile status is updated synchronously, wherein the updated charging pile status includes an executed state.

[0086] According to an embodiment of the present invention, performing an orderly charging inspection and updating the charging pile status based on the inspection content specifically includes:

[0087] Performing an orderly charging check based on an execution period, wherein the execution period includes 5 minutes;

[0088] Check the effective charging plan at the current time point, verify whether the date and time meet the set conditions, and if the conditions are met, update the charging pile status to the executing status.

[0089] It should be noted that, in this embodiment, the execution cycle includes 5 minutes. Therefore, in the computing service, an orderly charging inspection task is executed every 5 minutes to check and execute the effective charging plan that meets the current time and working days. The main process is as follows: query the effective charging plan at the current time point, verify whether the date and time meet the set conditions, and if the plan meets the conditions, the status is updated to the executing state.

[0090] According to an embodiment of the present invention, the counting of real-time power data of the charging pile and limiting the power of the charging pile based on the real-time power data specifically includes:

[0091] Acquiring voltage, current and SOC data based on a collection period, wherein the collection period includes 40 seconds;

[0092] In combination with the power points collected at the initial 0 second and the halfway 30 seconds in each minute during the execution cycle, target data points are obtained, wherein the target data points include 10 points;

[0093] The power in the target data point is compared with the maximum load limit to determine whether the power of the charging pile needs to be limited, wherein if the power in the target data point exceeds the maximum load limit, the power of the charging pile is limited; otherwise, no limit is imposed.

[0094] It should be noted that, in this embodiment, if power data needs to be counted, it is necessary to collect voltage, current and SOC data. When collecting and counting the real-time power data of the charging pile, the voltage, current and SOC data are obtained every 40 seconds, and the power points of 0 seconds and halfway 30 seconds are initially collected every minute within 5 minutes to obtain the target data points. Accordingly, a total of 10 data points are collected. If the total power exceeds the preset maximum load limit at multiple points among these monitoring points (the specific number of points can be set), power limitation is required, that is, if the power in the target data point exceeds, the power of the charging pile is limited; otherwise, no limitation is imposed.

[0095] According to an embodiment of the present invention, the calculation of the number of charging guns specifically includes:

[0096] Calculate the total power reduction as follows:

[0097] P reduce =P total -P max ;

[0098] Among them, P total is the total power of the charging guns on all current charging piles, P max is the power limit of the current period, P reduce Indicates the total power reduction amount;

[0099] The load range P is calculated based on the total power reduction amount. allow , the calculation formula is as follows:

[0100]

[0101] Among them, P i is the current power of each charging gun, Percentmin i is the minimum power percentage limit of a single charging gun, and N is the number of charging guns being charged;

[0102] Calculate the number of charging guns N based on the total power reduction and the load range ctrl , the calculation formula is as follows:

[0103]

[0104] Among them, N charging It is the number of charging guns currently being charged.

[0105] It should be noted that, in this embodiment, the calculation of the number of charging guns requires first calculating the total power reduction and the load range, and then calculating the number of charging guns N based on the total power reduction and the load range. ctrl , where the total power P of the charging guns on all current charging piles is calculated first total and the power limit P for the current period max , the total power reduction P is obtained by subtracting the two reduce ; Further, based on the current power P of each charging gun i And the minimum power percentage limit of a single charging gun Percentmin i , the default value is 50%, and the number of charging guns N in charging is used to calculate the load range P allow , where the load range is a specific numerical value, and finally the relationship between the total power reduction amount and the load range is determined, where if P reduce >P allow , then the number of charging guns N is obtained based on the number of charging guns currently being charged ctrl Otherwise, based on Calculate the number of charging guns N ctrl ,in, This is a round-up operation.

[0106] According to an embodiment of the present invention, the charging gun priority calculation and the single charging gun dynamic power limit calculation specifically include:

[0107] Calculate the charging gun priority score i , the calculation formula is as follows:

[0108]

[0109] Among them, SOC i The current power status of the battery corresponding to the charging gun, Charge Type Factor i is the type factor of fast charge or slow charge, is the weight of the charging gun in the total power, α, β, γ are adjustable weight coefficients, where α=0.2, β=0.5, γ=0.3;

[0110] Calculate the dynamic power limit of a single charging gun as follows:

[0111]

[0112] in, is the dynamic power limit of the i-th charging gun, P i is the current power output of the charging gun, Percentmin i is the minimum power percentage limit of a single charging gun, N ctrl Is the number of charging guns.

[0113] It should be noted that in this embodiment, α, β, and γ are adjustable weight coefficients, where α = 0.2, β = 0.5, and γ = 0.3. The Priority Score of the charging gun is calculated. i It needs to be calculated based on different weight coefficients combined with the current power state of the corresponding battery of the corresponding charging gun, the type factor of fast charge or slow charge and the weight of the charging gun in the total power. i is the type factor of fast charge or slow charge (fast charge takes a larger value, slow charge takes a smaller value), and It is the weight of the charging gun in the total power, which is used to give priority to controlling the charging gun with higher output power.

[0114] Furthermore, based on the obtained charging gun priority Priority Score i Combined with the minimum power percentage limit of a single charging gun Percentmin i Calculate the dynamic power limit of the charging gun, where: is the dynamic power limit of the i-th charging gun, P i is the current power output of the charging gun, N ctrl is the number of charging guns. The higher the priority score of a charging gun, the higher its corresponding The larger the ratio is, the greater the power reduction ratio is to limit the power.

[0115] Furthermore, after calculating the dynamic power limit of a single charging gun, a control command can be sent to the charging pile according to the calculation result to adjust the power output of each charging gun to the calculated value. The control details are stored in a cache for tracking, and the record database contains the command ID, charging pile ID, gun number, power limit, control type and status.

[0116] According to an embodiment of the present invention, when no control is required, the currently limited power is restored to a normal state, and the charging pile state is updated synchronously, specifically including:

[0117] When charging is finished or an orderly charging check is performed based on the execution cycle, if no control is required, a power control cancellation command is output to restore the power currently limited by the charging pile to a normal state;

[0118] The charging pile status corresponding to the completed charging task award is extracted and updated to the executed status, and the control command that is still in the executing status before the set time is updated to the timeout status, wherein the set time includes 2 minutes.

[0119] It should be noted that, in this embodiment, the execution cycle is 5 minutes, so an orderly charging check is performed every 5 minutes or at the end of charging, wherein the status of the effective scheme is checked. If the scheme ends or the time no longer needs to be controlled, a power control cancellation command is sent to restore the power control to a normal state, and the status of the ended scheme is updated to the executed state, and the control command that was still in the execution state 2 minutes ago is updated to the timeout state.

[0120] Figure 2 A block diagram of an intelligent power regulation system for an electric vehicle charging operation platform of the present invention is shown.

[0121] like Figure 2 As shown, the present invention discloses an intelligent power regulation system for an electric vehicle charging operation platform, including a memory and a processor, wherein the memory includes an intelligent power regulation method program for the electric vehicle charging operation platform, and when the intelligent power regulation method program for the electric vehicle charging operation platform is executed by the processor, the following steps are implemented:

[0122] Perform orderly charging inspection and update the status of the charging pile based on the inspection results;

[0123] The real-time power data of the charging pile is counted, and the power of the charging pile is limited based on the real-time power data, wherein:

[0124] When control is required, the restriction is specifically based on the dynamic control algorithm of the charging pile. The algorithm content at least includes the calculation of the number of charging guns, the calculation of the priority of charging guns and the calculation of the dynamic power limit of a single charging gun;

[0125] When no control is needed, the currently limited power is restored to a normal state, and the charging pile state is updated synchronously.

[0126] It should be noted that, in this embodiment, the present invention is composed of three core parts, namely, an electric vehicle charging operation platform (WEB platform), a computing service and a dynamic control of charging piles. Among them, on the basis of the electric vehicle charging operation platform, the computing process and the dynamic control of charging piles are described in detail. Among them, the functions of the charging operation platform are as follows: The charging operation platform adds an orderly charging plan setting function, allowing each charging station to be configured with multiple plans, each plan includes a name, an activation time, multiple time periods and corresponding power limits (unit: kW), and the plan time periods cannot overlap, and the past time periods cannot be set to ensure real-time and effectiveness.

[0127] Furthermore, in a specific implementation, an orderly charging check is performed, and the charging pile status is updated based on the check content, wherein the check needs to be performed based on an execution cycle, which will be specifically described in the subsequent instructions, and the real-time power data of the charging pile is counted, so as to limit the power of the charging pile based on the real-time power data, wherein, when control is required, the limitation is specifically based on the charging pile dynamic control algorithm, and the algorithm content includes at least the calculation of the number of charging guns, the calculation of the priority of the charging guns, and the calculation of the dynamic power limit of a single charging gun, and the specific charging pile dynamic control process will be described in detail in the subsequent instructions, and when no control is required, the currently limited power is restored to a normal state, and the charging pile status is updated synchronously, wherein the updated charging pile status includes an executed state.

[0128] According to an embodiment of the present invention, performing an orderly charging inspection and updating the charging pile status based on the inspection content specifically includes:

[0129] Performing an orderly charging check based on an execution period, wherein the execution period includes 5 minutes;

[0130] Check the effective charging plan at the current time point, verify whether the date and time meet the set conditions, and if the conditions are met, update the charging pile status to the executing status.

[0131] It should be noted that, in this embodiment, the execution cycle includes 5 minutes. Therefore, in the computing service, an orderly charging inspection task is executed every 5 minutes to check and execute the effective charging plan that meets the current time and working days. The main process is as follows: query the effective charging plan at the current time point, verify whether the date and time meet the set conditions, and if the plan meets the conditions, the status is updated to the executing state.

[0132] According to an embodiment of the present invention, the counting of real-time power data of the charging pile and limiting the power of the charging pile based on the real-time power data specifically includes:

[0133] Acquiring voltage, current and SOC data based on a collection period, wherein the collection period includes 40 seconds;

[0134] In combination with the power points collected at the initial 0 second and the halfway 30 seconds in each minute during the execution cycle, target data points are obtained, wherein the target data points include 10 points;

[0135] The power in the target data point is compared with the maximum load limit to determine whether the power of the charging pile needs to be limited, wherein if the power in the target data point exceeds the maximum load limit, the power of the charging pile is limited; otherwise, no limit is imposed.

[0136] It should be noted that, in this embodiment, if power data needs to be counted, it is necessary to collect voltage, current and SOC data. When collecting and counting the real-time power data of the charging pile, the voltage, current and SOC data are obtained every 40 seconds, and the power points of 0 seconds and halfway 30 seconds are initially collected every minute within 5 minutes to obtain the target data points. Accordingly, a total of 10 data points are collected. If the total power exceeds the preset maximum load limit at multiple points among these monitoring points (the specific number of points can be set), power limitation is required, that is, if the power in the target data point exceeds, the power of the charging pile is limited; otherwise, no limitation is imposed.

[0137] According to an embodiment of the present invention, the calculation of the number of charging guns specifically includes:

[0138] Calculate the total power reduction as follows:

[0139] P rxduce =P total -P max ;

[0140] Among them, P total is the total power of the charging guns on all current charging piles, P max is the power limit of the current period, P reduce Indicates the total power reduction amount;

[0141] The load range P is calculated based on the total power reduction amount. allow , the calculation formula is as follows:

[0142]

[0143] Among them, P i is the current power of each charging gun, Percentmin i is the minimum power percentage limit of a single charging gun, and N is the number of charging guns being charged;

[0144] Calculate the number of charging guns N based on the total power reduction and the load range ctrl , the calculation formula is as follows:

[0145]

[0146] Among them, N charging It is the number of charging guns currently being charged.

[0147] It should be noted that, in this embodiment, the calculation of the number of charging guns requires first calculating the total power reduction and the load range, and then calculating the number of charging guns N based on the total power reduction and the load range. ctrl , where the total power P of the charging guns on all current charging piles is calculated first total and the power limit P for the current period max , the total power reduction P is obtained by subtracting the two reduce ; Further, based on the current power P of each charging gun i And the minimum power percentage limit of a single charging gun Percentmin i , the default value is 50%, and the number of charging guns N in charging is used to calculate the load range P allow , where the load range is a specific numerical value, and finally the relationship between the total power reduction amount and the load range is determined, where if P reduce >P allow , then the number of charging guns N is obtained based on the number of charging guns currently being charged ctrl Otherwise, based on Calculate the number of charging guns N ctrl ,in, This is a round-up operation.

[0148] According to an embodiment of the present invention, the charging gun priority calculation and the single charging gun dynamic power limit calculation specifically include:

[0149] Calculate the charging gun priority score i , the calculation formula is as follows:

[0150]

[0151] Among them, SOC i The current power status of the battery corresponding to the charging gun, Charge Type Factor i is the type factor of fast charge or slow charge, is the weight of the charging gun in the total power, α, β, γ are adjustable weight coefficients, where α=0.2, β=0.5, γ=0.3;

[0152] Calculate the dynamic power limit of a single charging gun as follows:

[0153]

[0154] in, is the dynamic power limit of the i-th charging gun, P i is the current power output of the charging gun, Percentmin i is the minimum power percentage limit of a single charging gun, N ctrl Is the number of charging guns.

[0155] It should be noted that in this embodiment, α, β, and γ are adjustable weight coefficients, where α = 0.2, β = 0.5, and γ = 0.3. The Priority Score of the charging gun is calculated. i It needs to be calculated based on different weight coefficients combined with the current power state of the corresponding battery of the corresponding charging gun, the type factor of fast charge or slow charge and the weight of the charging gun in the total power. i is the type factor of fast charge or slow charge (fast charge takes a larger value, slow charge takes a smaller value), and It is the weight of the charging gun in the total power, which is used to give priority to controlling the charging gun with higher output power.

[0156] Furthermore, based on the obtained charging gun priority Priority Score i Combined with the minimum power percentage limit of a single charging gun Percentmin i Calculate the dynamic power limit of the charging gun, where: is the dynamic power limit of the i-th charging gun, P i is the current power output of the charging gun, N ctrl is the number of charging guns. The higher the priority score of a charging gun, the higher its corresponding The larger the ratio is, the greater the power reduction ratio is to limit the power.

[0157] Furthermore, after calculating the dynamic power limit of a single charging gun, a control command can be sent to the charging pile according to the calculation result to adjust the power output of each charging gun to the calculated value. The control details are stored in a cache for tracking, and the record database contains the command ID, charging pile ID, gun number, power limit, control type and status.

[0158] According to an embodiment of the present invention, when no control is required, the currently limited power is restored to a normal state, and the charging pile state is updated synchronously, specifically including:

[0159] When charging is finished or an orderly charging check is performed based on the execution cycle, if no control is required, a power control cancellation command is output to restore the power currently limited by the charging pile to a normal state;

[0160] The charging pile status corresponding to the completed charging task award is extracted and updated to the executed status, and the control command that is still in the executing status before the set time is updated to the timeout status, wherein the set time includes 2 minutes.

[0161] It should be noted that, in this embodiment, the execution cycle is 5 minutes, so an orderly charging check is performed every 5 minutes or at the end of charging, wherein the status of the effective scheme is checked. If the scheme ends or the time no longer needs to be controlled, a power control cancellation command is sent to restore the power control to a normal state, and the status of the ended scheme is updated to the executed state, and the control command that was still in the execution state 2 minutes ago is updated to the timeout state.

[0162] A third aspect of the present invention provides a computer-readable storage medium, which includes a smart power regulation method program for an electric vehicle charging operation platform. When the smart power regulation method program for an electric vehicle charging operation platform is executed by a processor, the steps of the smart power regulation method for an electric vehicle charging operation platform as described in any one of the above items are implemented.

[0163] The present invention discloses an intelligent power regulation method and system for an electric vehicle charging operation platform, which can appropriately reduce the charging speed during peak power consumption hours by dynamically adjusting the power output of charging piles, thereby reducing the load on the power grid, improving energy utilization efficiency, and ensuring the stability of the power grid and the continuity of charging activities of charging piles.

[0164] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0165] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0166] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0167] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, etc. Various media that can store program codes.

[0168] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. An intelligent power regulation method for an electric vehicle charging operation platform, characterized in that: The following steps are involved: Perform orderly charging inspection and update the status of the charging pile based on the inspection results; The real-time power data of the charging pile is counted, and the power of the charging pile is limited based on the real-time power data, wherein: When control is required, the restriction is specifically based on the dynamic control algorithm of the charging pile. The algorithm content at least includes the calculation of the number of charging guns, the calculation of the priority of charging guns and the calculation of the dynamic power limit of a single charging gun; When no control is needed, the currently limited power is restored to a normal state, and the charging pile state is updated synchronously.

2. The intelligent power regulation method for an electric vehicle charging operation platform according to claim 1, characterized in that: The performing of orderly charging inspection and updating the charging pile status based on the inspection content specifically includes: Performing an orderly charging check based on an execution period, wherein the execution period includes 5 minutes; Check the effective charging plan at the current time point, verify whether the date and time meet the set conditions, and if the conditions are met, update the charging pile status to the executing status.

3. The intelligent power regulation method for an electric vehicle charging operation platform according to claim 2, characterized in that: The counting of the real-time power data of the charging pile and limiting the power of the charging pile based on the real-time power data specifically includes: Acquiring voltage, current and SOC data based on a collection period, wherein the collection period includes 40 seconds; In combination with the power points collected at the initial 0 second and the halfway 30 seconds in each minute during the execution cycle, target data points are obtained, wherein the target data points include 10 points; The power in the target data point is compared with the maximum load limit to determine whether the power of the charging pile needs to be limited, wherein if the power in the target data point exceeds the maximum load limit, the power of the charging pile is limited; otherwise, no limit is imposed.

4. The intelligent power regulation method for an electric vehicle charging operation platform according to claim 3, characterized in that: The calculation of the number of charging guns specifically includes: Calculate the total power reduction as follows: P reduce =P total -P max ; Among them, P total is the total power of the charging guns on all current charging piles, P max is the power limit of the current period, P reduce Indicates the total power reduction amount; The load range P is calculated based on the total power reduction amount. allow , the calculation formula is as follows: Among them, P i is the current power of each charging gun, Percentmin i is the minimum power percentage limit of a single charging gun, and N is the number of charging guns being charged; Calculate the number of charging guns N based on the total power reduction and the load range ctrl , the calculation formula is as follows: Among them, N charging It is the number of charging guns currently being charged.

5. The intelligent power regulation method for an electric vehicle charging operation platform according to claim 4, characterized in that: The charging gun priority calculation and the single charging gun dynamic power limit calculation specifically include: Calculate the charging gun priority score i , the calculation formula is as follows: Among them, SOC i The current power status of the battery corresponding to the charging gun, Charge Type Factor i is the type factor of fast charge or slow charge, is the weight of the charging gun in the total power, α, β, γ are adjustable weight coefficients, where α=0.2, β=0.5, γ = 0.3; Calculate the dynamic power limit of a single charging gun as follows: Among them, P limiti is the dynamic power limit of the i-th charging gun, P i is the current power output of the charging gun, Percentmin i is the minimum power percentage limit of a single charging gun, N ctrl Is the number of charging guns.

6. The intelligent power regulation method for an electric vehicle charging operation platform according to claim 5, characterized in that: When no control is needed, the currently limited power is restored to a normal state, and the charging pile state is updated synchronously, specifically including: When charging is finished or an orderly charging check is performed based on the execution cycle, if no control is required, a power control cancellation command is output to restore the power currently limited by the charging pile to a normal state; The charging pile status corresponding to the completed charging task award is extracted and updated to the executed status, and the control command that is still in the executing status before the set time is updated to the timeout status, wherein the set time includes 2 minutes.

7. An intelligent power regulation system for an electric vehicle charging operation platform, characterized in that: The system comprises a memory and a processor, wherein the memory comprises an intelligent power regulation method program for an electric vehicle charging operation platform, and the intelligent power regulation method program for an electric vehicle charging operation platform implements the following steps when executed by the processor: Perform orderly charging inspection and update the status of the charging pile based on the inspection results; The real-time power data of the charging pile is counted, and the power of the charging pile is limited based on the real-time power data, wherein: When control is required, the restriction is specifically based on the dynamic control algorithm of the charging pile. The algorithm content at least includes the calculation of the number of charging guns, the calculation of the priority of charging guns and the calculation of the dynamic power limit of a single charging gun; When no control is needed, the currently limited power is restored to a normal state, and the charging pile state is updated synchronously.

8. The intelligent power regulation system for electric vehicle charging operation platform according to claim 7, characterized in that: The performing of orderly charging inspection and updating the charging pile status based on the inspection content specifically includes: Performing an orderly charging check based on an execution period, wherein the execution period includes 5 minutes; Check the effective charging plan at the current time point, verify whether the date and time meet the set conditions, and if the conditions are met, update the charging pile status to the executing status.

9. The intelligent power regulation system for electric vehicle charging operation platform according to claim 8, characterized in that: The counting of the real-time power data of the charging pile and limiting the power of the charging pile based on the real-time power data specifically includes: Acquiring voltage, current and SOC data based on a collection period, wherein the collection period includes 40 seconds; In combination with the power points collected at the initial 0 second and the halfway 30 seconds in each minute during the execution cycle, target data points are obtained, wherein the target data points include 10 points; The power in the target data point is compared with the maximum load limit to determine whether the power of the charging pile needs to be limited, wherein if the power in the target data point exceeds the maximum load limit, the power of the charging pile is limited; otherwise, no limit is imposed.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes an intelligent power regulation method program for an electric vehicle charging operation platform. When the intelligent power regulation method program for an electric vehicle charging operation platform is executed by a processor, the steps of an intelligent power regulation method for an electric vehicle charging operation platform as described in any one of claims 1 to 6 are implemented.

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