Cross-cabinet power scheduling method, device and system applied to charging station

Abstract

The application discloses a cross-cabinet power scheduling method, device and system applied to a charging station, wherein the cross-cabinet power scheduling method can be applied to the technical field of energy management of the charging station, and the method comprises the following steps: when the charging demand of a first power cabinet exceeds the rated total power of the first power cabinet, the dynamic schedulable power of at least one second power cabinet and the peak power demand in a future time window are obtained; wherein the first power cabinet is any power cabinet of the charging station, and the second power cabinet is the remaining power cabinet; the dynamic schedulable power is determined based on the rated total power of the power cabinet, the current load power and the safety margin adjusted according to the real-time state of the internal charging gun; based on the dynamic schedulable power and the peak power demand, the resource occupation priority of each second power cabinet is determined; and the power resource of the corresponding second power cabinet is called through the corresponding cross-cabinet contactor group according to the priority. The application improves the operation stability and power resource utilization rate of the charging station.

Description

Technical Field

[0001] This application relates to the field of energy management technology for charging stations, and in particular to a cross-cabinet power scheduling method, device and system applied to charging stations. Background Technology

[0002] With the booming development of the new energy vehicle industry, the scale of charging infrastructure construction is constantly expanding, and users' requirements for charging speed, efficiency, and service experience are also increasing. As the core carrier of the charging network, charging stations not only need to meet the basic needs of vehicles for rapid energy replenishment, but also need to achieve efficient energy utilization and stable system operation under complex operating scenarios.

[0003] Existing charging stations typically consist of multiple integrated charging piles or separate power cabinets. Each power cabinet contains several power modules and serves one or more charging guns. In actual operation, due to the independent management of resources in each power cabinet, some charging guns often cannot meet the instantaneous high-power demands of vehicles because the available power in their respective cabinets is insufficient, resulting in limited charging rates. At the same time, after meeting the vehicle's demand, other charging guns still have surplus power in their respective cabinets, causing the modules to idle or operate under low load, resulting in power waste and making it difficult to improve the overall power utilization rate of the station.

[0004] To address these issues, existing technologies have proposed the concept of cross-cabinet power scheduling, which uses matrix switches or contactors to achieve resource sharing between different power cabinets. However, in actual charging scenarios, the power demand of vehicle batteries varies dynamically at different charging stages (such as constant current and constant voltage stages), and the start-up, shutdown, and power adjustment of multiple charging guns within a charging station are also random. Existing cross-cabinet scheduling schemes typically make decisions based solely on the available power of the cabinet being called at the current moment. When the charging load changes drastically, this static, responsive scheduling method can easily lead to fluctuations in system output power, or even charging interruptions or speed reductions, making it difficult to meet the charging needs of multiple guns while ensuring the overall operational stability of the charging station. Summary of the Invention

[0005] To address the problems of existing technologies, this application provides a method, apparatus, and system for cross-cabinet power scheduling applied in charging stations. The technical solution is as follows:

[0006] On one hand, a cross-cabinet power scheduling method for charging stations is provided. The charging station includes multiple power cabinets and at least one cross-cabinet contactor group. Each power cabinet includes at least one charging gun. The cross-cabinet contactor group is connected between two charging guns in different power cabinets. The method includes:

[0007] When the current charging demand of the first power cabinet exceeds the rated total power of the first power cabinet, obtain the dynamic schedulable power of at least one second power cabinet and the peak power demand of the second power cabinet in a future time window.

[0008] Wherein, the first power cabinet is any one of the plurality of power cabinets, and the second power cabinet is any power cabinet other than the first power cabinet among the plurality of power cabinets; the dynamically schedulable power is determined based on the rated total power of the power cabinet, the current load power, and the safety margin dynamically adjusted according to the real-time charging status of its internal charging guns;

[0009] Based on the dynamically schedulable power and peak power demand of the at least one second power cabinet, the resource occupancy priority of each second power cabinet is determined;

[0010] According to the resource occupancy priority of each second power cabinet, the power resources of the corresponding second power cabinet are called through the corresponding cross-cabinet contactor group.

[0011] On the other hand, a cross-cabinet power dispatching device for use in a charging station is provided. The charging station includes multiple power cabinets and at least one cross-cabinet contactor group. Each power cabinet includes at least one charging gun. The cross-cabinet contactor group is connected between two charging guns in different power cabinets. The device includes:

[0012] The information acquisition module is used to acquire the dynamic schedulable power of at least one second power cabinet and the peak power demand of the second power cabinet in a future time window when the current charging demand of the first power cabinet exceeds the rated total power of the first power cabinet.

[0013] Wherein, the first power cabinet is any one of the plurality of power cabinets, and the second power cabinet is any power cabinet other than the first power cabinet among the plurality of power cabinets; the dynamically schedulable power is determined based on the rated total power of the power cabinet, the current load power, and the safety margin dynamically adjusted according to the real-time charging status of its internal charging guns;

[0014] The priority determination module is used to determine the resource occupancy priority of each second power cabinet based on the dynamically schedulable power and the peak power demand of the at least one second power cabinet;

[0015] The resource retrieval module is used to retrieve the power resources of the corresponding second power cabinet through the corresponding cross-cabinet contactor group according to the resource occupancy priority of each second power cabinet.

[0016] In one exemplary embodiment, the information acquisition module includes:

[0017] The independent margin determination module is used to determine the independent safety margin of each charging gun based on the real-time charging status of each charging gun in the second power cabinet.

[0018] The total margin calculation module is used to calculate the total safety margin of the second power cabinet based on the independent safety margin of each charging gun and the corresponding priority weight of each charging gun.

[0019] The schedulable power determination module is used to determine the dynamic schedulable power of the second power cabinet based on the rated total power of the second power cabinet, the current load power, and the total safety margin.

[0020] In one exemplary embodiment, the independent margin determination module includes:

[0021] The basic margin acquisition module is used to acquire the basic safety margin of each charging gun in the second power cabinet.

[0022] The risk coefficient acquisition module is used to acquire at least one of the following risk coefficients: charging stage risk coefficient, state of charge risk coefficient, battery temperature risk coefficient, and voltage risk coefficient of the charging gun.

[0023] An independent safety margin correction module is used to correct the basic safety margin according to the at least one risk coefficient to obtain the independent safety margin of the charging gun.

[0024] In one exemplary embodiment, the total margin calculation module includes:

[0025] The weighted summation module is used to perform weighted summation on the independent safety margins according to the priority weights of each charging gun to obtain candidate safety margins.

[0026] The margin selection module is used to select a target safety margin from the candidate safety margins and the minimum safety margin of the second power cabinet; the target safety margin is greater than the safety margin that was not selected from the candidate safety margins and the minimum safety margin.

[0027] The total margin determination module is used to determine the total safety margin of the second power cabinet based on the target safety margin and the system-level safety margin.

[0028] In one exemplary embodiment, the information acquisition module further includes:

[0029] The curve prediction module is used to predict the power change curve of each charging gun in the future time window based on the current charging stage of each charging gun inside the second power cabinet, using the corresponding power prediction model.

[0030] The prediction value determination module is used to determine the predicted power value of each charging gun at multiple time points within the future time window based on the power change curve of each charging gun over time.

[0031] The total power calculation module is used to calculate the total predicted power of the second power cabinet at each time point within the future time window, based on the predicted power value of each charging gun at that time point, the charging stage correction coefficient, and the environmental factor correction coefficient.

[0032] The peak power determination module is used to determine the peak power demand of the second power cabinet in the future time window based on the total predicted power of the second power cabinet at each time point in the future time window.

[0033] In one exemplary embodiment, the apparatus further includes a correction coefficient determination module, the correction coefficient determination module comprising:

[0034] The stage coefficient determination module is used to determine the charging stage correction coefficient corresponding to each time point within the future time window, based on the number of charging guns expected to be newly connected in the second power cabinet at that time point and the number of charging guns expected to finish charging at that time point.

[0035] The environmental factor determination module is used to determine the environmental factor correction factor corresponding to each charging gun at the time point based on the temperature of the battery connected to each charging gun in the second power cabinet.

[0036] In one exemplary embodiment, the apparatus further includes a resource release module for releasing power resources, the resource release module comprising:

[0037] The occupancy information acquisition module is used to acquire the rated total power, current load rate and peak power demand in the future time window of each occupied second power cabinet when the first power cabinet occupies the power resources of at least one second power cabinet and the current charging demand of the first power cabinet is less than or equal to the rated total power of the first power cabinet.

[0038] The release priority determination module is used to determine the resource release priority of each occupied second power cabinet based on the rated total power of the second power cabinet, the current load rate, and the peak power demand.

[0039] The first release execution module is used to release the power resources of the corresponding second power cabinet through the corresponding cross-cabinet contactor group according to the resource release priority of each occupied second power cabinet.

[0040] In one exemplary embodiment, the apparatus further includes a request response module for responding to a release request, the request response module comprising:

[0041] The request receiving module is used to receive a resource release request sent by a second power cabinet whose power resources are occupied by the first power cabinet; wherein, the resource release request is sent by the second power cabinet when its current charging demand exceeds the power of its rated total power that is not occupied by other cabinets;

[0042] The second release execution module is used to release the power resources of the second power cabinet occupied in response to the resource release request.

[0043] In one exemplary embodiment, the device further includes a state locking module, which is used to trigger the second power cabinet to which the called or released power resource belongs to enter a busy state after the power resource is called or released, so that the power resource of the second power cabinet is prohibited from being called across cabinets for a preset time period starting from the time when the call or release is completed.

[0044] On the other hand, a cross-cabinet power dispatching system for charging stations is provided, characterized by comprising:

[0045] Multiple power cabinets, each power cabinet including at least one charging gun;

[0046] At least one cross-cabinet contactor group, the cross-cabinet contactor group being connected between two charging guns of different power cabinets;

[0047] A plurality of power control units corresponding one-to-one with the plurality of power cabinets are communicatively connected to each other. Each power control unit is operatively connected to a cross-cabinet contactor group connected to the charging gun of its power cabinet and is configured to perform any of the above-described cross-cabinet power scheduling methods applied to charging stations.

[0048] On the other hand, an electronic device is provided, including a processor and a memory, wherein the memory stores at least one instruction or at least one program, the at least one instruction or the at least one program being loaded and executed by the processor to implement the cross-cabinet power scheduling method applied to charging stations according to any of the above aspects.

[0049] On the other hand, a computer-readable storage medium is provided, wherein at least one instruction or at least one program is stored therein, the at least one instruction or the at least one program being loaded and executed by a processor to implement the cross-cabinet power scheduling method applied to charging stations as described in any of the above aspects.

[0050] On the other hand, a computer program product or computer program is provided, which includes computer instructions stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the electronic device to perform the cross-cabinet power dispatching method applied to charging stations according to any of the above aspects.

[0051] This application's embodiments employ predictive priority scheduling by introducing dynamically schedulable power and future peak power demand. Specifically, the dynamically schedulable power not only considers the rated total power of the power cabinet and its current load but also incorporates a safety margin dynamically adjusted based on the real-time charging status of the internal charging guns. This precisely quantifies the power resources that each power cabinet can safely borrow without affecting its own stable operation, avoiding the risk of charging interruption caused by simply borrowing power. More importantly, it further obtains the peak power demand of the second power cabinet within a future time window, giving resource scheduling a forward-looking perspective. When determining the priority of call, it comprehensively evaluates the current borrowable capacity and future self-demand of each candidate power cabinet, prioritizing those power cabinets with surplus resources that are about to enter a low-demand phase. The decision logic of this application combines real-time status and short-term prediction, enabling cross-cabinet power scheduling to smoothly adapt to dynamic changes in charging load. While meeting the instantaneous peak demand of the first power cabinet, it ensures the stability of the subsequent self-charging tasks of the called power cabinet, thereby effectively suppressing system power fluctuations and significantly improving the overall operational stability and power resource utilization of the charging station. Attached Figure Description

[0052] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0053] Figure 1 This is a structural block diagram of the power cabinet system in the charging station provided in the embodiments of this application;

[0054] Figure 2 This is a schematic diagram of the internal power topology of the power cabinet provided in an embodiment of this application;

[0055] Figure 3 This is a schematic diagram of the configuration of the inter-cabinet contactor group between power cabinets provided in the embodiments of this application;

[0056] Figure 4 This is a flowchart illustrating the first cross-cabinet power scheduling method provided in the embodiments of this application;

[0057] Figure 5 This is a flowchart illustrating the second cross-cabinet power scheduling method provided in the embodiments of this application;

[0058] Figure 6 This is a flowchart illustrating the third cross-cabinet power scheduling method provided in the embodiments of this application;

[0059] Figure 7 This is a structural block diagram of a cross-cabinet power scheduling device applied to a charging station, provided in an embodiment of this application.

[0060] Figure 8 This is a hardware structure block diagram of an electronic device provided in an embodiment of this application. Detailed Implementation

[0061] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0062] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or server that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices.

[0063] It is understood that in the specific embodiments of this application, data such as user information are involved. When the above embodiments of this application are applied to specific products or technologies, user permission or consent is required, and the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions.

[0064] Please see Figure 1The diagram shows a structural block diagram of the power cabinet system in a charging station provided in this embodiment. The entire system consists of N independent power cabinets (PCMs), each assigned a unique communication address (e.g., PCM1 corresponds to address 0, PCM2 to address 1, and so on, with PCMN corresponding to address N-1). Each power cabinet is cascaded with one or more charging terminals (i.e., charging guns). These charging terminals are identified according to the naming rule of "cabinet number_serial number". For example, terminals connected to PCM1 are named 1_1 to 1_N, terminals connected to PCM2 are named 2_1 to 2_N, and so on, until terminals connected to PCMN are named N_1 to N_N. This forms a two-level distributed architecture of "power cabinet-terminal", which aims to realize multi-cabinet collaborative power scheduling and terminal power supply management, and supports flexible system expansion.

[0065] Please see Figure 2 The figure shows a schematic diagram of the internal power topology of the power cabinet provided in this application embodiment. As shown, this topology illustrates an interconnected power supply network constructed based on multiple sets of double-pole switches between multiple power modules and multiple charging terminals. Specifically, the system contains several power modules, each connected to several charging terminals; multiple sets of double-pole switches are also provided, with different switches used to control the on / off connection between specific power modules and charging terminals. By flexibly combining the closed states of each switch, the power supply path from the power module to the charging terminal can be dynamically configured, thereby constructing a multi-to-multi interconnected power supply architecture with flexible scheduling capabilities.

[0066] Please see Figure 3 The diagram shows a configuration of the inter-cabinet contactor group provided in an embodiment of this application. The charging station includes multiple power cabinets and at least one inter-cabinet contactor group. Each power cabinet includes at least one charging gun, and the inter-cabinet contactor group is connected between two charging guns in different power cabinets. For detailed explanation... Figure 3The following example uses three power control units (PCMs). A cross-unit DC contactor group, KG1_P1-1_P2-1, is located between PCM1 and PCM2. This contactor group connects the first contactor of PCM1 to the first contactor of PCM2, enabling bidirectional power access: contactor 1 of PCM1 can access the power resources of contactor 1 of PCM2 through KG1, and vice versa. Similarly, KG2_P1-1_P3_2 connects PCM1 and PCM3, linking the first contactor of PCM1 to the second contactor of PCM3, supporting mutual access between the two. In the naming convention, "KG1_P1-1_P2-1" uses KG1 as the contactor group number identifier, and P1_1 and P2-1 represent the cabinet number and contactor number connected at both ends, respectively (the order can be interchanged; for example, it can also be written as KG1_P2-1_P1-1). Based on this, the cross-cabinet shared configuration item for each PCM can be defined as the connection information at both ends of the cross-cabinet DC contactor group, in the format: KG serial number, [configuration item 1], [configuration item 2], [configuration item 3], [configuration item 4], where configuration items 1 and 3 are the PCM cabinet address, and configuration items 2 and 4 are the corresponding gun addresses within the cabinet. For example, the configuration items corresponding to "KG1_P1-1_P2-1" are: KG1,1,1,2,1; if a configuration item is NULL, it indicates that no contactor has been deployed at that end.

[0067] Please see Figure 4 The diagram illustrates a flowchart of a cross-cabinet power scheduling method for charging stations, as provided in an embodiment of this application. It should be noted that while this specification provides the method operation steps as shown in the embodiments or flowcharts, more or fewer operation steps may be included based on conventional or non-inventive methods. The order of steps listed in the embodiments is merely one possible execution order among many and does not represent the only possible execution order. In actual system or product execution, the method can be executed sequentially according to the embodiments or the accompanying drawings, or in parallel (e.g., in a parallel processor or multi-threaded processing environment). Specifically, as shown... Figure 4 As shown, the method may include:

[0068] S401, when the current charging demand of the first power cabinet exceeds the rated total power of the first power cabinet, obtain the dynamically schedulable power of at least one second power cabinet and the peak power demand of the second power cabinet in a future time window.

[0069] In this context, the first power cabinet refers to any one of the multiple power cabinets, and the second power cabinet refers to all power cabinets except the first one. The first and second power cabinets are used to describe their roles in the scheduling relationship. The first power cabinet represents the demander currently generating excess power and needing to request external resources; the second power cabinet represents the supplier that can potentially provide surplus power resources. Throughout the entire site operation, any power cabinet may dynamically switch between the demander and supplier roles.

[0070] The dynamically schedulable power is determined based on the power cabinet's rated total power, current load power, and a safety margin that is dynamically adjusted according to the real-time charging status of its internal charging guns. The calculation of the dynamically schedulable power incorporates a safety margin that is dynamically adjusted according to the real-time charging status of the internal charging guns, thereby ensuring that borrowed power will not jeopardize the stability and safety of the cabinet's own charging.

[0071] Specifically, obtaining the dynamically schedulable power of at least one second power cabinet includes the following steps: determining the independent safety margin of each charging gun based on the real-time charging status of each charging gun in the second power cabinet; calculating the total safety margin of the second power cabinet based on the independent safety margin of each charging gun and the corresponding priority weight of each charging gun; and determining the dynamically schedulable power of the second power cabinet based on the rated total power of the second power cabinet, the current load power, and the total safety margin.

[0072] The calculation of the independent safety margin includes the following steps: for each charging gun in the second power cabinet, obtain the basic safety margin of the charging gun; and obtain at least one of the following risk coefficients: charging stage risk coefficient, state of charge risk coefficient, battery temperature risk coefficient, and voltage risk coefficient; and correct the basic safety margin according to at least one risk coefficient to obtain the independent safety margin of the charging gun.

[0073] Specifically, the independent safety margin of a single charging gun The calculation reference formula (1) is as follows:

[0074] (1)

[0075] in, Based on the basic safety margin, The calculation reference formula (2) is as follows:

[0076] (2)

[0077] in, For the first The gun's maximum charging power, For the first Set the gun's current power to a base value of 10KW to ensure basic protection and avoid an excessively small safety margin.

[0078] in, To assess the risk factor during the charging phase, in specific implementation... The values ​​are as follows: Constant current stage =0.8 (High risk, requires a larger safety margin), constant pressure stage =0.3 (Medium risk, moderate safety margin), trickle stage =0.1 (low risk, minimum safety margin), unidentified stage =1.0 (Conservative strategy, maximum safety margin).

[0079] in, This represents the state-of-charge risk coefficient. In practical implementation... The value of is referenced in formula (3):

[0080] (3)

[0081] in, This represents the state of charge (SOC) of the battery pack connected to the i-th charging gun, i.e., the percentage of the battery's total capacity remaining. This SOC is obtained through communication between the charging gun and the vehicle's BMS (Battery Management System).

[0082] Specifically, hour We set it to 0.2. At this point, the battery's internal resistance is relatively high, but the BMS usually allows for a larger charging current. However, considering that the battery may be in a deep discharge state at low SOC, excessive high-power charging may accelerate aging. Therefore, we give it a moderately small risk factor (not the minimum), which is low risk but still requires a certain margin. hour Taking 0.5 is a range where battery charging efficiency is relatively high, heat generation is controllable, risk is moderate, and safety margin is appropriate. hour With a value of 0.8, as the SOC increases, battery polarization intensifies, increasing the risk of lithium plating (especially for lithium batteries). Furthermore, the current decreases during the constant voltage stage, but the voltage control requirements are higher, resulting in a higher risk factor and requiring a larger safety margin. hour With a coefficient of 0.3, the system enters the trickle charging stage (or charging is about to terminate). The actual charging current is very small (usually ≤ 0.05C), and even if an anomaly occurs, the energy release is limited. At the same time, the BMS will strictly limit the current and prepare to cut off charging. Therefore, although there is a risk of overcharging, the impact on power resource scheduling is minimal, and the system does not need to reserve a large dynamic safety margin for this charging gun, reducing the coefficient to 0.3.

[0083] in, This refers to the battery temperature risk factor. In practical implementation, The value of is referenced in formula (4):

[0084] (4)

[0085] in, This is the current battery temperature of the power battery pack connected to the i-th charging gun. This temperature is typically collected in real time by the battery management system (BMS) through temperature sensors located inside the battery pack (or on the surface of individual cells) and reported to the charging pile or power cabinet.

[0086] Specifically, lithium batteries perform best at temperatures between 15 and 40°C, exhibiting low internal resistance, allowing for high-power charging with minimal risk, thus requiring only a minimum safety margin. A safety margin of 0.1 is recommended. At 10-15℃, the electrolyte's ionic conductivity decreases, internal resistance increases, and charging is more prone to lithium plating, increasing the risk. At 40-45℃, the battery's heat dissipation pressure increases, and the temperature rises rapidly, potentially triggering BMS power reduction or even thermal runaway precursors. Therefore, a moderate safety margin is required. Use 0.4. Below 10℃, the risk of lithium plating is extremely high, and charging may permanently damage the battery. Above 45℃, the risk of thermal runaway is significant, and charging power must be strictly limited, requiring the maximum safety margin. Take 0.8.

[0087] in, Voltage risk factor, The calculation reference formula (5) is as follows:

[0088] (5)

[0089] in, This represents the maximum voltage of a single cell in the battery pack charged by the i-th gun. Let be the minimum value of the individual cell voltage in the battery pack charged by the i-th gun. This refers to the nominal voltage of a single cell in the battery pack, typically 3.2V (lithium iron phosphate) or 3.7V (ternary lithium), etc. This reflects the maximum difference in individual cell voltages within the battery pack (relative to the nominal voltage). A greater difference indicates poorer battery consistency, potentially leading to overcharging or over-discharging risks in individual cells, thus requiring more conservative power control during charging. This item has a weight of 0.5. This represents the maximum absolute value of the rate of change of a single cell voltage over a recent period (e.g., the past few seconds), reflecting the severity of voltage changes. A larger absolute value indicates potentially unstable battery polarization or BMS response, which can easily lead to voltage exceeding limits or charging oscillations. This term has a weight of 0.3. The coefficients 0.5 and 0.3 in the formula are empirical weights and can be adjusted according to actual battery characteristics and system requirements.

[0090] Specifically, the calculation of the independent safety margin incorporates various risk factors (charging stage, state of charge (SOC), battery temperature, voltage, etc.) for dynamic correction. For example, for batteries operating in low-temperature environments with low SOC, the acceptable charging power variation is less flexible, resulting in a higher risk factor. Consequently, the calculated independent safety margin is larger, reserving more buffer power for the charging gun to prevent accidents.

[0091] The calculation of the total safety margin of the second power cabinet, based on the independent safety margin of each charging gun and the corresponding priority weight of each charging gun, includes the following steps: weighted summation of the independent safety margins according to the priority weight of each charging gun to obtain candidate safety margins; selection of a target safety margin from the candidate safety margins and the minimum safety margin of the second power cabinet; the target safety margin being greater than the unselected safety margins among the candidate safety margins and the minimum safety margin; and determination of the total safety margin of the second power cabinet based on the target safety margin and the system-level safety margin.

[0092] Specifically, total safety margin The calculation reference formula (6) is as follows:

[0093] (6)

[0094] in, This represents the total safety margin (kW) for the second power cabinet. For the first The independent safety margin (kW) of the charging gun. For the first The priority weight of the charging gun (the value ranges from 0 to 1, and the sum of the priority weights of each charging gun is 1). To ensure a safety margin (usually 5-10% of the total power). This provides a system-level safety margin (considering inter-cabinet collaboration, communication latency, etc.). This refers to the number of charging guns in the second power cabinet. The weighted summation reflects the differentiated protection for charging guns with different priorities; the minimum safety margin sets a safety baseline to prevent the total margin from being too low due to the low risk coefficient of some guns.

[0095] The system-level safety margin takes into account system-level uncertainties such as inter-cabinet communication delays and collaborative control. Specifically, the system-level safety margin is mainly used to address system-level uncertainty risks, such as: data transmission delays in inter-cabinet communication links may cause temporary asynchrony of status information; the inherent mechanical action time of cross-cabinet contactor groups when performing closing or opening operations; and slight power oscillations that may occur when multiple power cabinets work together. Introducing this system-level margin allows the entire scheduling system to effectively absorb these minor disturbances, preventing them from accumulating and triggering chain reactions, thereby ensuring the smoothness of the cross-cabinet scheduling process and the robustness of the overall system at a more macroscopic level.

[0096] Among them, charging guns with higher priority weights (e.g., those rapidly charging vehicles with low battery levels) have a larger proportion of their independent safety margin in the weighted summation, thus reserving more safety buffer power for these critical or urgent charging tasks. This weight can be dynamically allocated based on factors such as the real-time urgency of the charging gun's demand, the user's preset charging mode (e.g., fast charging / slow charging), or the vehicle's battery health status, ensuring that power scheduling prioritizes the stability and continuity of core charging services while improving resource utilization. Specifically, the priority weights... The calculation reference formula (7) is as follows:

[0097] (7)

[0098] in, Let be the predicted peak power of the i-th gun. This value is calculated using the gun's charging phase prediction model (constant current / constant voltage / trickle charge) and reflects the maximum power demand that the gun may reach in the future (e.g., 15 minutes). The urgency coefficient for the i-th gun (dimensionless, typically ranging from 0 to 1 or higher) is determined by a combination of factors including vehicle SOC, battery temperature, charging time, and the user-set expected departure time. For example, the urgency is higher when the SOC is extremely low or when the user requests rapid charging. β is a dynamic weighting coefficient used to balance the urgency of current needs with the availability of future resources. Its value ranges from 0.5 to 1.5. In actual operation, the β value is dynamically adjusted according to the real-time load rate of the system. If the system load is light, β can be appropriately reduced to let the predicted peak dominate the weight; if the load is heavy, β is increased to emphasize urgency and prioritize the charging of guns that urgently need charging.

[0099] The total safety margin serves as an additional power capacity to ensure the normal operation of the charging guns within the second power cabinet. Essentially, this safety margin is used to maintain the stability of the second power cabinet system to cope with various uncertainties and risks, such as system output power oscillations caused by prediction uncertainties, system response delays, and the wear and tear on device lifespan due to frequent scheduling and switching.

[0100] The formula for calculating dispatchable power is referenced in formula (8):

[0101] (8)

[0102] Where AvailablePower is the dispatchable power, Ptotal is the rated total power, Pcurrent is the current load power, and Smargin,total is the total safety margin.

[0103] Specifically, by introducing an independent safety margin for each charging gun based on real-time adjustments using multi-dimensional risk coefficients (charging stage, SOC, temperature, and voltage consistency), the granularity of safety assessment in cross-cabinet scheduling is refined to the individual gun level, precisely quantifying the inherent risks and buffer requirements under different charging states. Furthermore, the total safety margin is calculated through weighted summation, minimum guarantee value comparison, and superimposing system-level margins, achieving aggregation from individual gun risk to the overall cabinet safety boundary, ensuring a safety lower limit and system fault tolerance. Based on this dynamically adjusted total safety margin, the dynamically schedulable power is determined, making the amount of power that can be borrowed an adaptively shrinking insurance threshold according to the real-time safety status of each charging gun within the cabinet. This fundamentally eliminates the possibility of endangering the safety and stability of the charging process of the borrowed cabinet due to cross-cabinet power calls, achieving rigid safety isolation in power resource sharing, and providing a reliable and dynamic safety boundary input for subsequent scheduling decisions.

[0104] Specifically, the calculation of the peak power demand of the second power cabinet within a future time window includes the following steps: based on the current charging stage of each charging gun inside the second power cabinet, the corresponding power prediction model is used to predict the power change curve of each charging gun within the future time window; based on the power change curve of each charging gun over time, the predicted power value of each charging gun at multiple time points within the future time window is determined; for each time point within the future time window, based on the predicted power value of each charging gun at that time point, the charging stage correction coefficient, and the environmental factor correction coefficient, the total predicted power of the second power cabinet at that time point is calculated; based on the total predicted power of the second power cabinet at each time point within the future time window, the peak power demand of the second power cabinet within the future time window is determined.

[0105] Specifically, the calculation of the peak power demand of the second power cabinet within the future time window is based on formula (9):

[0106] (9)

[0107] in, For a future time window (e.g., 900 seconds). This refers to the number of charging guns in the second power cabinet. Let be the predicted power value (kW) of the i-th charging gun at time t. This is the correction coefficient for the charging phase of the i-th gun. This is the correction factor for environmental factors.

[0108] Power prediction models are mathematical or empirical models built upon the electrochemical characteristics and electrical behavior of batteries at specific charging stages. For example, in the constant current stage, the core of the model is to describe the linear increase in voltage with the rise of the battery's state of charge (SOC), thereby estimating the slow increase in power. In the constant voltage stage, the model focuses on the exponential or near-exponential decay of current with increasing SOC, used to predict the power decline curve. These models can be constructed based on charging characteristic curves provided by battery manufacturers, historical charging data fitting, or electrochemical equivalent circuit models. Their purpose is to provide a trend-based estimate of power demand over a future period that closely approximates physical reality, providing crucial input for forward-looking scheduling. Specifically, because the power characteristic curves exhibited by each charging gun differ significantly at different charging stages, the power prediction model must also vary by stage to ensure the accuracy of the prediction.

[0109] During the constant current phase, the current is close to the maximum allowable value and relatively stable; the voltage gradually increases with the increase of SOC; and the power demand is relatively stable or increases slightly. The calculation formula is as follows:

[0110] (10)

[0111] in, This is the power growth factor during the constant current stage, set to 0.1 by default (range: 0.1~0.2). The maximum prediction time (e.g., 900 seconds). For guns Current SOC value.

[0112] During the constant voltage phase, the voltage stabilizes at the upper limit of the battery, the current gradually decreases as the state of charge (SOC) increases, and the power demand gradually decreases. The calculation formula is as follows:

[0113] (11)

[0114] in, This is the power attenuation coefficient during the constant voltage stage, with a default value of 0.4 (range: 0.3~0.5).

[0115] During the trickle phase, the SOC is >95%, the current is extremely small, close to 0, and the power demand is very low and stable. The calculation formula is as follows:

[0116] (12)

[0117] in, The base power for the trickle stage is set to 5kW by default. This is the attenuation coefficient, typically ranging from 0.001 to 0.003, with a default setting of 0.002.

[0118] In the unidentified stage, The calculation is based on the prediction method for the trickle stage, i.e., according to formula (12).

[0119] The charging stage correction coefficient corrects for power fluctuations caused by multi-gun coordination, reflecting the impact of charging gun access and charging termination events. Specifically, for each time point within a future time window, the charging stage correction coefficient is determined based on the expected number of newly accessed charging guns and the expected number of charging guns to terminate charging at that time point within the second power cabinet.

[0120] Specifically, when determining the charging stage correction coefficient for each time point, the synergistic effect of multiple charging guns operating simultaneously needs to be fully considered. This synergistic effect includes positive and negative synergy. Positive synergy manifests as a faster rate of total power decrease when multiple guns are in the constant-voltage charging stage; negative synergy occurs when a new vehicle connects, potentially triggering other charging guns' BMS to reassess their current state. Based on these synergistic effects, the specific calculation method for the charging stage correction coefficient is as follows:

[0121] (13)

[0122] in, This is the synergy effect coefficient, typically ranging from 0.1 to 0.3, used to adjust the intensity of the impact of access / termination events on total power. Let t be the estimated number of newly connected charging guns. Let t be the number of guns expected to finish charging at time t. The value range (0.1 to 0.3) is set based on the statistical analysis of the nonlinearity of power superposition in multi-gun parallel charging scenarios.

[0123] Specifically, the charging phase correction coefficient quantifies the impact of connection / termination events on the total power within the cabinet. For example, the moment a new charging gun is connected, it may cause a temporary drop in the bus voltage, leading to fine-tuning of the charging parameters by the BMS (Battery Management System) of other charging guns; or when multiple charging guns simultaneously transition from the constant current phase to the constant voltage phase, the rate of decrease in total power may be faster than the simple sum of the individual decreases of each gun. By adjusting the strength of this synergistic effect through the γ coefficient, the prediction of future total power is made more consistent with the group behavior characteristics of the actual system.

[0124] The term "expected number of newly connected charging guns" specifically refers to the number of charging guns that are expected to transition from idle or standby to active charging status within a future time window, as new vehicles are anticipated to connect and begin charging. This term is physically equivalent to a new vehicle connection event, describing the increased charging gun load triggered by vehicle connection. This unified concept is used as a basis for calculating the charging phase correction coefficient, ensuring that the prediction model accurately reflects the synergistic impact of new load on the total power demand within the charging cabinet.

[0125] Among them, the environmental factor correction coefficient corrects for the limitation of battery charging power by ambient temperature, ensuring the physical rationality of the prediction. Specifically, the environmental factor correction coefficient for each charging gun at a given time point is determined based on the temperature of the batteries connected to each charging gun in the second power cabinet.

[0126] Specifically, since battery temperature directly affects charging efficiency and maximum allowable power, the formula for calculating the environmental factor correction factor is as follows:

[0127] (14)

[0128] in, The battery temperature is typically the average or weighted average of the battery temperatures of all vehicles being charged within the cabinet. The efficiency is highest at this time, E=1.0. The efficiency is slightly lower at that time, and E increases linearly from 0.9 to 1.0, getting closer to 1.0 at higher temperatures. Efficiency begins to decline, with E decreasing linearly from 1.0 to 0.9, and the correction decreases as the temperature increases. The charging efficiency is extremely low, E=0.5, and the predicted power is directly halved.

[0129] Specifically, differentiated power prediction models are adopted for different charging stages (constant current, constant voltage, trickle charging, etc.), which conforms to the physical laws of battery charging and significantly improves the accuracy of single-gun power trend prediction. Charging stage correction coefficients and environmental factor correction coefficients are introduced. The former quantifies the synergistic impact (such as shock or mitigation) of discrete events like new vehicle access and charging completion on the total power in the cabinet, while the latter incorporates the hard constraints of battery temperature on charging efficiency and power limits. These two coefficients are used to correct the model-based predictions in real time, greatly enhancing the robustness and practicality of the predicted peak power demand within future time windows. The basis for scheduling decisions is expanded to a binary forward-looking assessment of current available resources and future demand, enabling the system to prioritize scheduling power cabinet resources with low short-term demand, effectively avoiding conflicts between scheduling behavior and the supplier's upcoming power peak, and significantly improving the scientific nature of scheduling decisions and the smoothness of system operation.

[0130] S403, based on the dynamically schedulable power and peak power demand of at least one second power cabinet, determine the resource occupancy priority of each second power cabinet.

[0131] Specifically, when the resources of the first power cabinet are insufficient and resources from the second power cabinet need to be utilized, the dynamic schedulable power of each second power cabinet and its peak power demand within a future time window (e.g., 15 minutes) are first collected. Then, the resource occupancy priority of each second power cabinet is calculated and ranked accordingly. The specific calculation method for resource occupancy priority is as follows:

[0132] (15)

[0133] in, This indicates the resource allocation priority of the second power cabinet (the higher the value, the higher the priority). The dynamic dispatchable power (kW) of the second power cabinet. The peak power demand (kW) of the second power cabinet in the future time window. This is the system adjustment coefficient (recommended value range is 0.01~0.03), the default setting is 0.02.

[0134] S405, according to the resource occupancy priority of each second power cabinet, calls the power resources of the corresponding second power cabinet through the corresponding cross-cabinet contactor group.

[0135] During the execution of the call, priorities are first sorted from high to low, with resources from the higher-priority second power cabinet being used first. The maximum power used each time does not exceed the dynamically schedulable power of that second power cabinet. Simultaneously, high-load or high-demand second power cabinets are actively avoided to prevent resource conflicts. During this process, the power control unit within each power cabinet collects charging information from all charging terminals in real time, calculating the remaining resources available for scheduling by other charging stations. When the cabinet's own resources cannot meet the power demands of its charging terminals, resources are sequentially obtained from other power cabinets according to the aforementioned priority order until the demand is met or no more resources are available for scheduling.

[0136] As can be seen from the above technical solutions of the embodiments of this application, the embodiments of this application achieve cross-cabinet calling of power modules without significantly altering the hardware configuration by adding configurable cross-cabinet contactor groups between different power cabinets. This supports on-demand dynamic sharing, scalable topology, and forward-looking dynamic scheduling. Utilizing a priority determination algorithm based on vehicle battery parameters and multi-gun future demand prediction, the problem of simultaneous power waste and insufficient charging power is effectively solved, improving the overall power utilization rate, charging efficiency, and user experience of the site. In the case of multiple selectable cross-cabinet bus connections, the priority of the cabinet to be called is reasonably determined by predicting the future period, reducing the risk of resource contention, improving operational efficiency, and achieving global optimization of multi-cabinet sites. Simultaneously, predictive computing and intelligent scheduling avoid frequent resource contention, improving system stability. The modification is simple and low-cost; emergency charging needs can be automatically prioritized for scheduling, achieving cross-cabinet power complementarity and improving economic efficiency; it can meet users' high-power charging needs and improve user satisfaction. Furthermore, it supports arbitrary topology connections and mixed networking of main cabinets of different specifications, with strong power sharing scalability.

[0137] When the charging terminal demand of the first power cabinet decreases, the cross-cabinet power resources it occupies need to be released in an orderly manner. To this end, the system first prioritizes the release of resources in each occupied second power cabinet and releases resources sequentially from highest to lowest priority. In an exemplary implementation, this release process specifically includes the following steps: when the first power cabinet occupies the power resources of at least one second power cabinet, and the current charging demand of the first power cabinet is less than or equal to its rated total power, the rated total power, current load rate, and peak power demand within a future time window of each occupied second power cabinet are obtained; for each occupied second power cabinet, the resource release priority of the second power cabinet is determined based on its rated total power, current load rate, and peak power demand; according to the resource release priority of each occupied second power cabinet, the power resources of the corresponding second power cabinet are released through the corresponding cross-cabinet contactor group.

[0138] The current load rate is defined as the ratio of the sum of the actual output power of all charging guns in the power cabinet to the rated total power of the power cabinet, with a value ranging from 0 to 1. This real-time indicator directly reflects the busy level of the power cabinet itself. In the resource release priority calculation, a higher current load rate means that the power resources of the cabinet itself are already relatively tight. If some of its resources are still occupied by external cabinets, its flexibility in responding to its own new demands or power fluctuations will be reduced. Therefore, when releasing resources, prioritizing the return of power to power cabinets with high current load rates can timely and effectively alleviate their operating pressure and prevent them from becoming the power bottleneck of the entire site system due to resource occupation.

[0139] Specifically, when the charging demand of the first power cabinet decreases, and it occupies the resources of the second power cabinet, it is necessary to determine whether to release the occupied cross-cabinet resources. If only one second power cabinet resource is occupied, it is released directly. If multiple second power cabinet resources are occupied, the release priority of these second power cabinets needs to be calculated and sorted. The resources of the second power cabinet with the higher priority are released first.

[0140] Specifically, the formula for calculating resource release priority is as follows:

[0141] (16)

[0142] in, Sets the priority for resource release (values ​​range from 0 to 1.0, with higher values ​​indicating higher priority for release). This represents the current load rate of the second power cabinet (range: 0~1.0). The peak power demand (kW) of the second power cabinet within a future time window (e.g., 15 minutes). The rated total power (kW) of the second power cabinet.

[0143] Specifically, a higher resource release priority means a heavier current load on the second power cabinet and greater future demand pressure. Therefore, the power resources occupied by it should be returned first. This can alleviate the pressure on high-load target cabinets in a timely manner, reserve sufficient power margin for them to serve new users or cope with upcoming charging peaks, thereby effectively avoiding the risk of charging speed reduction caused by resource occupation and improving the service quality and operational stability of the entire system.

[0144] Specifically, the triggering of resource occupancy priority stems from insufficient demand in the first power cabinet, necessitating the borrowing of resources from external sources. Its core calculation involves assessing the dynamically schedulable power of the second power cabinet and its future peak demand, aiming to avoid preempting resources from potentially busy second power cabinets. Conversely, the triggering of resource release priority arises from the easing of demand in the current cabinet, requiring the return of resources. Its core calculation involves assessing the current load rate and future peak demand of the occupied cabinet, aiming to prioritize alleviating pressure on high-demand occupied cabinets. These correspond to the occupancy and release scenarios in cross-cabinet power scheduling, forming a complete cross-cabinet dynamic resource scheduling logic.

[0145] As can be seen from the above technical solutions of the embodiments of this application, the embodiments of this application establish a resource release priority mechanism based on the urgency of demand, which corresponds to the resource occupancy priority. Specifically, when the demand of the caller (first power cabinet) decreases and resources need to be returned, the resource release priority is calculated based on the current load rate and future peak power demand of the occupied cabinet (second power cabinet). Resources of the occupied cabinet with a high current load rate and high future demand pressure are released first. This can promptly reduce the load on those power cabinets that are currently the busiest and are most likely to need all their own resources in the future, reserving sufficient power capacity in advance for the upcoming peak demand. This makes the resource release process itself a positive operation to optimize the overall system operation, avoiding new power imbalances or local congestion that may be caused by improper resource release, and ensuring that cross-cabinet scheduling can improve the overall resource utilization efficiency and operational stability of the site in both the calling and releasing stages.

[0146] In one exemplary implementation, when the charging demand of the scheduled cabinet increases, the cabinet will proactively send a resource release request to the source cabinet currently occupying its power resources. Upon receiving the resource release request, the source cabinet will proactively perform cross-cabinet scheduling resource release and skip the power cabinet to query other power cabinet resources. If schedulable resources are available, they will be locked again according to priority, and the cross-cabinet resource occupation process will be executed. The issuance and response of the resource release request may specifically include the following steps: receiving a resource release request sent by a second power cabinet whose power resources are occupied by the first power cabinet; wherein the resource release request is issued by the second power cabinet when its current charging demand exceeds the power of its rated total power that is not occupied by cross-cabinets; and in response to the resource release request, releasing the power resources of the occupied second power cabinet.

[0147] A resource release request is a control command or message initiated by the power cabinet (second power cabinet) with occupied power resources to its resource caller (first power cabinet). The message includes a clear request identifier and necessary status parameters (such as its own excess power demand). This request is typically triggered when the local power control unit (PCM) of the second power cabinet detects that its real-time charging demand is about to exceed the power not occupied by other cabinets within its rated total power. It is then transmitted via a pre-established communication link between cabinets (such as CAN bus or Ethernet). Upon receiving this request, the power control unit of the first power cabinet treats it as a high-priority scheduling event, prioritizing it over the regular resource release process. It immediately initiates a resource release operation for that specific second power cabinet to ensure the continuity of the occupied cabinet's charging service.

[0148] As can be seen from the above technical solutions of the embodiments of this application, the embodiments of this application construct a scheduling intervention and negotiation mechanism based on real-time demand by granting the called power cabinet the right to actively request the recovery of occupied power resources, thus ensuring the fairness and real-time responsiveness of scheduling. Specifically, when the current charging demand of the called cabinet (second power cabinet) exceeds the portion of its rated total power that is not occupied by other cabinets, it actively sends a resource release request to the caller, enabling the system to trigger the rapid return of resources before the called cabinet's own demand suddenly increases and it faces the risk of service degradation or interruption due to resource occupation. This greatly enhances the agility of the scheduling system in responding to sudden changes in local demand, prevents the chain reaction of robbing Peter to pay Paul caused by resource locking, ensures the basic service capacity of all power cabinets in the site, and thus improves the overall service quality and user satisfaction.

[0149] To address the problems that traditional cross-cabinet scheduling schemes may cause, such as frequent power allocation triggering, short-term output power fluctuations, accelerated aging of components and increased failure risk due to frequent scheduling, which may be caused by ignoring the real-time status of each charging terminal inside the cabinet, this application's embodiments introduce a state protection mechanism to effectively avoid these issues.

[0150] In one exemplary implementation, after the power resource is invoked or released, the second power cabinet to which the invoked or released power resource belongs is triggered to enter a busy state, so that the power resource of the second power cabinet is prohibited from being invoked across cabinets for a preset time period starting from the time when the invoke or release is completed.

[0151] Specifically, when the resources of a power cabinet are called up or released by other cabinets, the system will set a "busy occupation or release flag" for it and start a countdown (for example, for 3 minutes). During this countdown, the power cabinet will be prohibited from participating in any new cross-cabinet resource scheduling.

[0152] The preset time period (e.g., 3 minutes) is based on a balance between system stability recovery time and hardware protection requirements in engineering practice. On the one hand, after a cross-cabinet power call or release operation, the output of the power module, the state of the DC contactor, the bus voltage in the cabinet, and the response of the battery management system all require a short stabilization period to eliminate transient processes and establish a new steady state. On the other hand, the contact electrical and mechanical lifespan of power devices such as DC contactors is significantly reduced when frequently switching on and off large currents. Forcing a busy state or cooling period can physically avoid repeated scheduling operations on the same power cabinet resources in a short period of time, thereby effectively reducing the number of contactor operations, suppressing system oscillations caused by frequent power switching, and providing necessary rest time for hardware equipment, thus improving the long-term operational reliability of the system and the service life of the equipment as a whole.

[0153] As can be seen from the above technical solutions of the embodiments of this application, the embodiments of this application directly avoid the instantaneous power fluctuations and overall instability of the system that may be caused by frequent scheduling and allocation of resources by forcibly introducing a short scheduling cooling period. This significantly reduces the electrical and mechanical stress caused by frequent operation of connecting devices (such as cross-cabinet contactor groups), thereby reducing the risk of accelerated hardware aging from the root and ensuring the long-term operational reliability of the equipment.

[0154] To facilitate a full understanding of the solution in this application, the following will be used as an example. Figure 5 , 6 The implementation process of the cross-cabinet power scheduling method provided in this application will be described in general by taking an example.

[0155] Please see Figure 5 The diagram illustrates the flowchart of the second cross-cabinet power scheduling method provided in this application embodiment. After the device is powered on, it first obtains cross-cabinet resource configuration information, then obtains the charging information of all terminals in the cabinet in real time, and calculates the schedulable resources of the cabinet accordingly. If no charging gun is currently charging, it determines whether cross-cabinet resources are occupied by a charging gun in the cabinet. If so, it executes the cross-cabinet resource release process and then returns to the step of obtaining the charging information of the terminals in the cabinet; otherwise, it directly loops back to the step of obtaining the charging information of the terminals in the cabinet. If a charging gun starts charging, it first allocates the required power to the cabinet. After allocation, it determines whether the total demand of the cabinet is met. If it is, it further determines whether any cross-cabinet busbars are occupied. If not, it loops back to the step of obtaining the charging information of the terminals in the cabinet; if occupied, it calculates in real time whether cross-cabinet resources need to be released. If so, it executes the cross-cabinet resource release process and then loops; otherwise, it loops directly. If the total demand of this cabinet is not met, the priority of the schedulable cross-cabinet resources is calculated and sorted, the cross-cabinet scheduling bus contactor with the highest priority is selected, the cross-cabinet resource call process is executed, and then the process loops back to the step of obtaining the terminal charging information of this cabinet, and resource scheduling and status monitoring are continuously performed.

[0156] Please see Figure 6The diagram illustrates the flowchart of the third cross-cabinet power scheduling method provided in this application embodiment. After receiving the scheduling start command, the device first obtains relevant information about the scheduled master cabinet N, calculates the maximum resources available from master cabinet N, and performs power allocation for cabinet N. Then, it controls the power module to power on for pre-charging, outputting -7V voltage according to the required battery voltage, and then determines whether the pre-charging is successful. If pre-charging fails and the waiting time reaches 30 seconds, cross-cabinet scheduling is deemed a failure, the resource scheduling path is locked and unavailable, and the process exits. If pre-charging is successful, the DC contactor is closed, adjusting the power module's output voltage and current to the required values, completing the resource occupancy operation. After resource occupancy is complete, the output voltage and current are adjusted in real-time according to demand, and output information is simultaneously detected, continuously determining whether a cross-cabinet resource release command has been received. If no command is received, the operation of adjusting output parameters and detecting output information continues. If a cross-cabinet resource release command is received, the power module is turned off, and then it is determined whether the output current is less than 5A. If the output current is not less than 5A, the DC contactor is disconnected after a waiting period of 20 seconds; if the output current is less than 5A, the DC contactor is disconnected directly, and the resource release is completed, exiting the entire cross-cabinet resource scheduling process.

[0157] Corresponding to the cross-cabinet power scheduling methods for charging stations provided in the above embodiments, this application also provides a cross-cabinet power scheduling device for charging stations. Since the cross-cabinet power scheduling device for charging stations provided in this application corresponds to the cross-cabinet power scheduling methods for charging stations provided in the above embodiments, the implementation methods of the aforementioned cross-cabinet power scheduling methods for charging stations are also applicable to the cross-cabinet power scheduling device for charging stations provided in this embodiment, and will not be described in detail in this embodiment.

[0158] Please see Figure 7 The diagram shows a structural schematic of a cross-cabinet power scheduling device for charging stations provided in an embodiment of this application. This device 700 has the function of implementing the cross-cabinet power scheduling method for charging stations described in the above-described method embodiments. This function can be implemented by hardware or by hardware executing corresponding software. The charging station includes multiple power cabinets and at least one cross-cabinet contactor group. Each power cabinet includes at least one charging gun, and the cross-cabinet contactor group is connected between two charging guns in different power cabinets, such as... Figure 7 As shown, the device 700 may include:

[0159] The information acquisition module 710 is used to acquire the dynamic schedulable power of at least one second power cabinet and the peak power demand of the second power cabinet in a future time window when the current charging demand of the first power cabinet exceeds the rated total power of the first power cabinet.

[0160] The first power cabinet is any one of the multiple power cabinets, and the second power cabinet is any power cabinet other than the first power cabinet. The dynamically schedulable power is determined based on the rated total power of the power cabinet, the current load power, and the safety margin that is dynamically adjusted according to the real-time charging status of the charging gun inside the cabinet.

[0161] Priority determination module 720 is used to determine the resource occupancy priority of each second power cabinet based on the dynamically schedulable power and peak power demand of at least one second power cabinet;

[0162] The resource retrieval module 730 is used to retrieve the power resources of the corresponding second power cabinet through the corresponding cross-cabinet contactor group according to the resource occupancy priority of each second power cabinet.

[0163] In one exemplary embodiment, the information acquisition module 710 includes:

[0164] The independent margin determination module is used to determine the independent safety margin of each charging gun based on the real-time charging status of each charging gun in the second power cabinet.

[0165] The total margin calculation module is used to calculate the total safety margin of the second power cabinet based on the independent safety margin of each charging gun and the corresponding priority weight of each charging gun.

[0166] The dispatchable power determination module is used to determine the dynamic dispatchable power of the second power cabinet based on the rated total power, current load power, and total safety margin of the second power cabinet.

[0167] In one exemplary embodiment, the independent margin determination module includes:

[0168] The basic margin acquisition module is used to acquire the basic safety margin of each charging gun in the second power cabinet.

[0169] The risk coefficient acquisition module is used to acquire at least one of the following risk coefficients: charging stage risk coefficient, state of charge risk coefficient, battery temperature risk coefficient, and voltage risk coefficient.

[0170] An independent safety margin correction module is used to correct the basic safety margin based on at least one risk factor to obtain the independent safety margin of the charging gun.

[0171] In one exemplary embodiment, the total margin calculation module includes:

[0172] The weighted summation module is used to perform weighted summation of the independent safety margins according to the priority weight of each charging gun to obtain the candidate safety margins.

[0173] The margin selection module is used to select a target safety margin from the candidate safety margins and the minimum safety margin of the second power cabinet; the target safety margin is greater than the safety margins that were not selected from the candidate safety margins and the minimum safety margin.

[0174] The total margin determination module is used to determine the total safety margin of the second power cabinet based on the target safety margin and the system-level safety margin.

[0175] In one exemplary embodiment, the information acquisition module 710 further includes:

[0176] The curve prediction module is used to predict the power change curve of each charging gun in the future time window based on the current charging stage of each charging gun in the second power cabinet and the corresponding power prediction model.

[0177] The prediction value determination module is used to determine the predicted power value of each charging gun at multiple time points within a future time window based on the power change curve of each charging gun over time.

[0178] The total power calculation module is used to calculate the total predicted power of the second power cabinet at each time point within the future time window, based on the predicted power value of each charging gun at that time point, the charging stage correction coefficient, and the environmental factor correction coefficient.

[0179] The peak power determination module is used to determine the peak power demand of the second power cabinet within the future time window based on the total predicted power at each time point within the future time window.

[0180] In one exemplary embodiment, the apparatus further includes a correction coefficient determination module, which includes:

[0181] The stage coefficient determination module is used to determine the charging stage correction coefficient for each time point within a future time window, based on the number of charging guns expected to be newly connected and the number of charging guns expected to finish charging at the time point in the second power cabinet.

[0182] The environmental factor determination module is used to determine the environmental factor correction factor for each charging gun at a given time point based on the temperature of the batteries connected to each charging gun in the second power cabinet.

[0183] In one exemplary embodiment, the apparatus further includes a resource release module for releasing power resources, the resource release module comprising:

[0184] The occupancy information acquisition module is used to acquire the rated total power, current load rate and peak power demand in the future time window of each occupied second power cabinet when the first power cabinet occupies the power resources of at least one second power cabinet and the current charging demand of the first power cabinet is less than or equal to the rated total power of the first power cabinet.

[0185] The release priority determination module is used to determine the resource release priority of each occupied second power cabinet based on the rated total power of the second power cabinet, the current load rate, and the peak power demand.

[0186] The first release execution module is used to release the power resources of the corresponding second power cabinet through the corresponding cross-cabinet contactor group according to the resource release priority of each occupied second power cabinet.

[0187] In one exemplary embodiment, the apparatus further includes a request response module for responding to a release request, the request response module comprising:

[0188] The request receiving module is used to receive a resource release request sent by a second power cabinet whose power resources are occupied by the first power cabinet; wherein, the resource release request is sent by the second power cabinet when its current charging demand exceeds the power of its rated total power that is not occupied by other cabinets;

[0189] The second release execution module is used to release the power resources of the occupied second power cabinet in response to the resource release request.

[0190] In one exemplary embodiment, the device further includes a state locking module, which is used to trigger the second power cabinet to which the called or released power resource belongs to enter a busy state after the power resource is called or released, so that the power resource of the second power cabinet is prohibited from being called across cabinets for a preset time period starting from the time when the call or release is completed.

[0191] It should be noted that the apparatus provided in the above embodiments is only illustrated by the division of the above functional modules when implementing its functions. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the apparatus and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be repeated here.

[0192] This application provides a cross-cabinet power dispatching system for charging stations, characterized in that it includes:

[0193] Multiple power cabinets, each power cabinet including at least one charging gun;

[0194] At least one cross-cabinet contactor group, which is connected between two charging guns in different power cabinets;

[0195] Multiple power control units are associated with one power cabinet, and the multiple power control units are communicatively connected to each other. Each power control unit is operatively connected to a cross-cabinet contactor group that connects to the charging gun of its power cabinet, and is configured to execute any of the cross-cabinet power scheduling methods for charging stations provided in the above method embodiments.

[0196] This application provides an electronic device including a processor and a memory. The memory stores at least one instruction or at least one program. The at least one instruction or at least one program is loaded and executed by the processor to implement any of the cross-cabinet power scheduling methods for charging stations provided in the above method embodiments.

[0197] Memory is used to store software programs and modules. The processor executes these stored software programs and modules to perform various functional applications and data processing. Memory can primarily consist of a program storage area and a data storage area. The program storage area stores the operating system, application programs required for functionality, etc.; the data storage area stores data created based on device usage, etc. Furthermore, memory can include high-speed random access memory (RAM) and non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, memory can also include a memory controller to provide the processor with access to the memory.

[0198] The method embodiments provided in this application can be executed in a computer terminal, server or similar computing device, that is, the above-mentioned electronic device may include a computer terminal, server or similar computing device. Figure 8 This is a hardware structure block diagram of a computer device for running a cross-cabinet power scheduling method applied to charging stations, as provided in an embodiment of the present invention. Figure 8 As shown, the internal structure of this computer device may include, but is not limited to, a processor, a network interface, and a memory. The processor, network interface, and memory within the computer device can be connected via a bus or other means, as illustrated in the embodiments of this specification. Figure 8 Taking the example of a connection between China and Israel via a bus.

[0199] The processor (or CPU, Central Processing Unit) is the computing and control core of the computer device. The network interface may optionally include standard wired interfaces or wireless interfaces (such as Wi-Fi, mobile communication interfaces, etc.). Memory is the storage device in the computer device used to store programs and data. It is understood that the memory here can be a high-speed RAM storage device, or a non-volatile storage device, such as at least one disk storage device; optionally, it can also be at least one storage device located remotely from the aforementioned processor. The memory provides storage space, which stores the operating system of the electronic device, including but not limited to: Windows (an operating system), Linux (an operating system), Android (a mobile operating system), iOS (a mobile operating system), etc., which are not limited in this invention; and the storage space also stores one or more instructions suitable for loading and execution by the processor, which can be one or more computer programs (including program code). In the embodiments of this specification, the processor loads and executes one or more instructions stored in the memory to implement the cross-cabinet power scheduling method for charging stations provided in the above method embodiments.

[0200] The embodiments of this application also provide a computer-readable storage medium, which can be disposed in an electronic device to store at least one instruction or at least one program related to implementing a cross-cabinet power scheduling method for charging stations. The at least one instruction or the at least one program is loaded and executed by the processor to implement any of the cross-cabinet power scheduling methods for charging stations provided in the above method embodiments.

[0201] Optionally, in this embodiment, the storage medium may include, but is not limited to, various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0202] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, specific embodiments have been described above. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims can be performed in a different order than that shown in the embodiments and still achieve the desired result. Additionally, the processes depicted in the drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0203] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the apparatus embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0204] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by hardware or by a program instructing related hardware. The program can be stored in a computer-readable storage medium, such as a read-only memory, a disk, or an optical disk.

[0205] The above are merely preferred embodiments of this application and are not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A cross-cabinet power scheduling method applied to charging stations, characterized in that, The charging station includes multiple power cabinets and at least one cross-cabinet contactor group. Each power cabinet includes at least one charging gun. The cross-cabinet contactor group is connected between two charging guns in different power cabinets. The method includes: When the current charging demand of the first power cabinet exceeds the rated total power of the first power cabinet, obtain the dynamic schedulable power of at least one second power cabinet and the peak power demand of the second power cabinet in a future time window. Wherein, the first power cabinet is any one of the plurality of power cabinets, and the second power cabinet is any power cabinet other than the first power cabinet among the plurality of power cabinets; the dynamically schedulable power is determined based on the rated total power of the power cabinet, the current load power, and the safety margin dynamically adjusted according to the real-time charging status of its internal charging guns; Based on the dynamically schedulable power and peak power demand of the at least one second power cabinet, the resource occupancy priority of each second power cabinet is determined; According to the resource occupancy priority of each second power cabinet, the power resources of the corresponding second power cabinet are called through the corresponding cross-cabinet contactor group; The step of obtaining the dynamically schedulable power of at least one second power cabinet includes: for each charging gun in the second power cabinet, obtaining the basic safety margin of the charging gun; and obtaining at least one risk coefficient among the charging stage risk coefficient, state of charge risk coefficient, battery temperature risk coefficient, and voltage risk coefficient of the charging gun; correcting the basic safety margin according to the at least one risk coefficient to obtain the independent safety margin of the charging gun; weighting and summing the independent safety margins according to the priority weight of each charging gun to obtain candidate safety margins; selecting a target safety margin from the candidate safety margins and the guaranteed safety margin of the second power cabinet; the target safety margin is greater than the safety margins not selected from the candidate safety margins and the guaranteed safety margins; determining the total safety margin of the second power cabinet based on the target safety margin and the system-level safety margin; and determining the dynamically schedulable power of the second power cabinet based on the rated total power of the second power cabinet, the current load power, and the total safety margin.

2. The method according to claim 1, characterized in that, Obtaining the peak power demand of the second power cabinet within a future time window includes: Based on the current charging stage of each charging gun inside the second power cabinet, the power change curve of each charging gun in the future time window is predicted by the corresponding power prediction model. Based on the power change curve of each charging gun over time, the predicted power values ​​of each charging gun at multiple time points within the future time window are determined. For each time point within the future time window, the total predicted power of the second power cabinet at that time point is calculated based on the predicted power value of each charging gun at that time point, the charging stage correction coefficient, and the environmental factor correction coefficient. The peak power demand of the second power cabinet in the future time window is determined based on the total predicted power of the second power cabinet at each time point within the future time window.

3. The method according to claim 2, characterized in that, The method further includes: For each time point within the future time window, the charging stage correction coefficient corresponding to the time point is determined based on the number of charging guns expected to be newly connected in the second power cabinet at that time point and the number of charging guns expected to finish charging at that time point. And based on the temperature of the batteries connected to each charging gun in the second power cabinet, determine the environmental factor correction coefficient corresponding to each charging gun at the time point.

4. The method according to claim 1, characterized in that, The method further includes: When the first power cabinet occupies the power resources of at least one second power cabinet, and the current charging demand of the first power cabinet is less than or equal to the rated total power of the first power cabinet, the rated total power, current load rate and peak power demand in the future time window of each occupied second power cabinet are obtained. For each occupied second power cabinet, the resource release priority of the second power cabinet is determined based on the rated total power of the second power cabinet, the current load rate, and the peak power demand; According to the resource release priority of each occupied second power cabinet, the power resources of the corresponding second power cabinet are released through the corresponding cross-cabinet contactor group.

5. The method according to claim 1, characterized in that, The method further includes: Receive a resource release request sent by a second power cabinet whose power resources are occupied by the first power cabinet; wherein, the resource release request is sent by the second power cabinet when its current charging demand exceeds the power of its rated total power that is not occupied by other cabinets; In response to the resource release request, the power resources of the second power cabinet that were occupied are released.

6. The method according to claim 4 or 5, characterized in that, The method further includes: After the power resource is invoked or released, the second power cabinet to which the invoked or released power resource belongs is triggered to enter a busy state, so that the power resource of the second power cabinet is prohibited from being invoked across cabinets for a preset time period starting from the time when the invoke or release is completed.

7. A cross-cabinet power dispatching device applied in charging stations, characterized in that, The charging station includes multiple power cabinets and at least one cross-cabinet contactor group. Each power cabinet includes at least one charging gun. The cross-cabinet contactor group connects two charging guns from different power cabinets. The device includes: The information acquisition module is used to acquire the dynamic schedulable power of at least one second power cabinet and the peak power demand of the second power cabinet in a future time window when the current charging demand of the first power cabinet exceeds the rated total power of the first power cabinet. Wherein, the first power cabinet is any one of the plurality of power cabinets, and the second power cabinet is any power cabinet other than the first power cabinet among the plurality of power cabinets; the dynamically schedulable power is determined based on the rated total power of the power cabinet, the current load power, and the safety margin dynamically adjusted according to the real-time charging status of its internal charging guns; The priority determination module is used to determine the resource occupancy priority of each second power cabinet based on the dynamically schedulable power and the peak power demand of the at least one second power cabinet; The resource retrieval module is used to retrieve the power resources of the corresponding second power cabinet through the corresponding cross-cabinet contactor group according to the resource occupancy priority of each second power cabinet. The information acquisition module includes: a basic margin acquisition module, used to acquire the basic safety margin of each charging gun in the second power cabinet; a risk coefficient acquisition module, used to acquire at least one of the following risk coefficients for the charging gun: charging stage risk coefficient, state of charge risk coefficient, battery temperature risk coefficient, and voltage risk coefficient; an independent margin correction module, used to correct the basic safety margin according to the at least one risk coefficient to obtain the independent safety margin of the charging gun; and a weighted summation module, used to sum the independent safety margin according to the priority weight of each charging gun. The candidate safety margins are obtained by summing the weights; the margin selection module is used to select a target safety margin from the candidate safety margins and the guaranteed safety margin of the second power cabinet; the target safety margin is greater than the safety margin that was not selected from the candidate safety margins and the guaranteed safety margin; the total margin determination module is used to determine the total safety margin of the second power cabinet based on the target safety margin and the system-level safety margin; the schedulable power determination module is used to determine the dynamic schedulable power of the second power cabinet based on the rated total power of the second power cabinet, the current load power, and the total safety margin.

8. A cross-cabinet power dispatching system applied to charging stations, characterized in that, include: Multiple power cabinets, each power cabinet including at least one charging gun; At least one cross-cabinet contactor group, the cross-cabinet contactor group being connected between two charging guns of different power cabinets; A plurality of power control units corresponding one-to-one with the plurality of power cabinets, the plurality of power control units being communicatively connected to each other, each power control unit being operatively connected to a cross-cabinet contactor group connecting the charging gun of its power cabinet, and configured to perform the method as described in any one of claims 1 to 6.

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