High-voltage direct current system and battery nuclear capacity control method thereof

Abstract

The invention provides a high-voltage direct-current system and a battery nuclear capacity control method thereof, and relates to the technical field of battery nuclear capacity. The high-voltage direct-current system comprises n high-voltage direct-current modules connected in parallel, each high-voltage direct-current module comprises m high-voltage direct-current units connected in parallel and a battery pack, the battery pack is connected with a load through the m high-voltage direct-current units, and n and m are positive integers; the method comprises the steps of performing discharge control on a target battery pack to be subjected to capacity checking in a capacity checking module according to a preset capacity checking mode and capacity checking parameters, and determining a target output quantity of the target battery pack in a discharge process according to the capacity checking parameters; according to the total load quantity and the target output quantity of the data center, determining the actual load quantity which needs to be borne by the capacity checking module; and according to the actual load capacity and the total load capacity, carrying out load capacity distribution on other non-capacity-checking high-voltage direct-current modules except the capacity-checking module in the high-voltage direct-current system. According to the invention, the power supply stability of the system is ensured while single capacity checking of a single battery group is realized.

Description

Technical Field

[0001] This application relates to the field of battery capacity control technology, and in particular to a high-voltage DC system and its battery capacity control method. Background Technology

[0002] High-voltage direct current (HVDC) systems are primarily used in scenarios requiring battery backup power, such as HVDC systems powering data center servers. The core operating logic of such systems is as follows: During normal operation, the HVDC system draws power from the power source (e.g., AC mains). After rectification and transformation, it outputs stable DC power to supply loads such as servers. Simultaneously, the system is equipped with a battery pack as a backup power source. When the AC mains power is interrupted, the battery pack continues to power the load, ensuring uninterrupted power supply. In actual operation and maintenance, the battery pack needs to be periodically checked for capacity, i.e., by charging and discharging the battery pack to verify its actual capacity and assess its health.

[0003] In related technologies, HVDC systems use batteries directly connected to the load, meaning all battery packs are directly connected to the load. The industry-standard method for battery capacity assessment is to discharge all battery packs simultaneously. However, this method only measures the total capacity of all battery packs and cannot distinguish the actual capacity of individual battery packs. It makes it difficult to locate individual faulty battery packs with insufficient capacity, affecting the reliability of the system's backup power supply. Furthermore, since all battery packs are in a discharged state, if the mains power fails, the system loses its mains power supply, reducing the remaining capacity of all batteries and drastically shortening the system's backup power supply time, thus increasing the system's operational risk.

[0004] Currently, some existing solutions propose a method to achieve single-group battery capacity verification: connecting a separate battery capacity verification device to each battery group. During single-group capacity verification, the circuit breaker / fuse of the target battery group is manually disconnected, decoupling the battery group from the system, and the separate capacity verification device performs the verification for that battery group. However, this single-group battery capacity verification method requires additional manual operation, is cumbersome, has a high risk of failure, and during single-group capacity verification, the module is in a state of not supplying power to the load, which can easily lead to unstable system power supply. Summary of the Invention

[0005] This application provides a high-voltage DC system and its battery capacity control method to solve the problems of existing single-group battery capacity control methods, which require additional manual operation, have a cumbersome operation process, a high risk of failure, and, when controlling a single group of batteries, the module is in a state of stopping power supply to the load, which can easily lead to unstable power supply to the system.

[0006] In a first aspect, embodiments of this application provide a battery capacity control method for a high-voltage direct current (HVDC) system. The HVDC system includes n parallel HVDC modules, each HVDC module including m parallel HVDC units and a battery pack. The battery pack is connected to a load through the m HVDC units, where n and m are both positive integers. The method includes: According to the preset capacity mode and capacity parameters, the target battery pack to be capacity-controlled in the capacity module is discharged, and the target output of the target battery pack during the discharge process is determined according to the capacity parameters. The actual load that the core capacity module needs to bear is determined based on the total load of the data center and the target output. Based on the actual load and the total load, the load is allocated to the non-capacitor HVDC modules in the HVDC system, excluding the core capacity module.

[0007] In one possible implementation, the method further includes: real-time monitoring of the voltage and discharge duration of the target battery pack in the core capacity module, and stopping the core capacity when the voltage of the target battery pack reaches the battery cutoff voltage or the discharge duration reaches the preset discharge duration.

[0008] In one possible implementation, after stopping the kernel capacity, the method further includes: The target battery pack is charged according to a preset charging current. Calculate the difference between the total output of the core capacity module and the output used to charge the target battery pack to obtain the remaining output of the core capacity module that can be used to power the load; During the charging process, the charging power change information of the target battery pack is monitored in real time; Based on the charging power change information, the load allocation of the core capacity module in the high voltage DC system is reduced so that the load allocation of the core capacity module does not exceed the remaining output of the core capacity module.

[0009] In one possible implementation, the load allocation to other non-capacitor HVDC modules in the HVDC system, excluding the core-capacitor module, based on the actual load and the total load includes: Calculate the difference between the total load and the actual load to obtain the remaining load. The remaining load is evenly distributed to each of the non-capacitance high-voltage DC modules.

[0010] In one possible implementation, the load allocation to other non-capacitor HVDC modules in the HVDC system, excluding the core-capacitor module, based on the actual load and the total load includes: Calculate the difference between the total load and the actual load to obtain the remaining load. Based on the first optimal load rate range of each non-capacitive high-voltage DC module, the remaining load is allocated to one or more first non-capacitive high-voltage DC modules, so that the load rate of the first non-capacitive high-voltage DC modules is within the first optimal load rate range. Control the other second non-capacitance high-voltage DC modules in the non-capacitance high-voltage DC module group, excluding the first non-capacitance high-voltage DC module group, to enter the standby state.

[0011] In one possible implementation, the state to be started is a hot standby state; The step of controlling the other second non-capacitive high-voltage DC modules (excluding the first non-capacitive high-voltage DC module) in the non-capacitive high-voltage DC module to enter the standby state includes: The output voltage of the second non-capacitive high-voltage DC module is reduced by a preset value, so that the second non-capacitive high-voltage DC module is in hot standby mode. When the total load of the data center increases and a preset condition is met, the second non-capacitive high-voltage DC module, which is in hot standby mode, is started and participates in the load power supply; the preset condition is that the output voltage of the first non-capacitive high-voltage DC module is the same as the output voltage of the second non-capacitive high-voltage DC module.

[0012] In one possible implementation, the method further includes: periodically calculating the cumulative runtime and the duration of time in the standby state for all high-voltage DC modules; The module with the longest cumulative running time in the first non-capacitance high-voltage DC module is switched to the standby state, and the module with the longest standby time in the second non-capacitance high-voltage DC module is woken up.

[0013] In one possible implementation, determining the actual load that the core capacity module needs to bear based on the total load of the data center and the target output includes: If the total load is less than or equal to the target output, then the actual load that the core capacity module needs to bear is equal to the total load. If the total load is greater than the target output, then the actual load that the core capacity module needs to bear is equal to the target output.

[0014] In one possible implementation, after distributing the load to the non-capacitive HVDC modules in the HVDC system other than the core-capacitor module, the method further includes: The steps for load allocation to m high-voltage DC units within each non-capacity high-voltage DC module with allocated load are as follows: The allocated load is evenly distributed to the m high-voltage DC units; or, According to the second optimal load rate range of each high voltage DC unit, the allocated load is distributed to one or more first high voltage DC units, so that the load rate of the first high voltage DC units is within the second optimal load rate range; Control the other second high-voltage DC units among the m high-voltage DC units, excluding the first high-voltage DC unit, to enter the standby state.

[0015] Secondly, embodiments of this application provide a high-voltage direct current system, including: n parallel high-voltage direct current modules, a data acquisition unit, and a control unit; Each high-voltage DC module includes m parallel high-voltage DC units and a battery pack. The battery pack is connected to the load through the m high-voltage DC units, where n and m are both positive integers. The data acquisition unit is used to collect the total load of the data center and send the total load to the control unit; The control unit is used to execute the battery capacity control method described in the first aspect above.

[0016] This application embodiment sets up a system structure with n parallel high-voltage DC modules, each module containing m parallel high-voltage DC units and 1 battery pack. The battery pack is connected to the load through the high-voltage DC units, so that all n battery packs are in parallel and none are directly connected to the load. According to the preset capacity verification mode and capacity verification parameters, the target battery pack in the capacity verification module is discharged and controlled. The actual capacity of the target battery pack can be measured separately, and battery packs with capacity decay and low health can be directly identified. This avoids the problem in the prior art that multiple battery packs can be discharged at the same time and only the total capacity can be measured. It realizes the independent capacity verification of a single battery pack without affecting the normal backup power of batteries in other modules. This not only improves the accuracy of battery operation and maintenance, but also ensures the system backup power duration. Furthermore, when determining the target battery capacity, the target output of the target battery pack during discharge is determined. This target output normally powers the load through the HVDC unit. Based on the total load of the data center and the target output, the actual load that the capacity module needs to handle is determined. Based on the actual load and the total load, the load is allocated to other non-capacity HVDC modules in the HVDC system, excluding the capacity module. This process prioritizes using the battery capacity output to power the load. Through the logic of matching the target output with the total load and supplementing the allocation with non-capacity modules, it not only ensures that the battery capacity is adequately supplied... Energy is not wasted during the process, and the total load of the data center is always covered (the core capacity module takes priority on part of the load + the non-core capacity module takes on the remaining load), which takes into account both core capacity requirements and data center power supply stability, avoids the risk of power outages, and ensures stable system power supply operation. In addition, the core capacity module uses its own high-voltage DC unit to control the discharge of the battery pack, without the need for additional core capacity equipment, and perhaps without the need to manually connect or disconnect the battery from the system, reducing equipment costs and manual operation risks. Through power distribution during the core capacity process, the operation and maintenance process is simplified, and the system efficiency and operational safety are improved.

[0017] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this specification. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the structure of a high-voltage direct current system provided in an embodiment of this application; Figure 2 This is a schematic flowchart of a battery capacity control method for a high-voltage DC system provided in an embodiment of this application; Figure 3 This is a schematic flowchart of a battery capacity control method for a high-voltage DC system provided in another embodiment of this application; Figure 4 This is a schematic flowchart of a battery capacity control method for a high-voltage DC system provided in another embodiment of this application; Figure 5 This is a schematic diagram of the structure of a high-voltage direct current system provided in another embodiment of this application; Figure 6 This is a schematic diagram of the structure of a control device provided in an embodiment of this application. Detailed Implementation

[0020] The present application will be described more clearly below with reference to specific embodiments. These embodiments will help those skilled in the art to further understand the function of the present application, but do not limit the present application in any way. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present application. These all fall within the protection scope of the present application.

[0021] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0022] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0023] In the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0024] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0025] Furthermore, the term "multiple" mentioned in the embodiments of this application should be interpreted as two or more.

[0026] In related technologies, HVDC systems use batteries directly connected to the load, meaning all battery packs are directly connected to the load. The industry-standard method for battery capacity assessment is to discharge all battery packs simultaneously. However, this method only measures the total capacity of all battery packs and cannot distinguish the actual capacity of individual battery packs. It is difficult to locate individual faulty battery packs with insufficient capacity, affecting the reliability of the system's backup power supply. Furthermore, since all battery packs are in a discharged state, a mains power outage will reduce the remaining capacity of all batteries, drastically shortening the system's backup power supply time and increasing the system's operational risk. Currently, to achieve single-pack battery capacity assessment, some existing solutions propose a method of connecting a separate battery capacity assessment device to each battery pack. During single-pack capacity assessment, the circuit breaker / fuse of the target battery pack is manually disconnected, decoupling the battery pack from the system, and the separate battery capacity assessment device performs the assessment. However, this single-pack battery capacity assessment method requires additional manual operation, is cumbersome, has a high failure risk, and during single-pack capacity assessment, the module is in a state of not supplying power to the load, which can easily lead to system power instability.

[0027] To address the aforementioned technical issues, this application proposes a battery capacity control method for a high-voltage direct current (HVDC) system. This system comprises n parallel HVDC modules, each consisting of m parallel HVDC units and a battery pack. The battery pack is connected to the load via the HVDC units. This system architecture utilizes the HVDC units within the HVDC modules themselves to achieve battery discharge control, eliminating the need for external battery capacity control equipment or manual decoupling between the battery and the system, thus enabling single-group battery capacity control. During battery capacity control, the battery can supply power to the load via the HVDC units, preventing energy waste. Furthermore, based on the output during the single-group battery capacity control discharge process and the total load of the data center, a backup power strategy for other non-capacity-controlled HVDC modules is determined, and secondary load allocation is performed on these modules. After the capacity control of a single battery group is completed, the load allocation of that HVDC module in the system is adjusted according to the charging status of that battery group until charging is complete. The entire process achieves both individual battery capacity control and reasonable load allocation, ensuring continuous, stable, and safe power supply to the system.

[0028] The following is combined with Figure 1 and Figure 2 The battery capacity control method for the high-voltage DC system provided in this application is described.

[0029] Figure 1 This is a schematic diagram of a high-voltage direct current system provided in an embodiment of this application. The implementation of the battery capacity control method provided in this embodiment of the application depends on... Figure 1 The architecture of the high-voltage direct current system is shown.

[0030] like Figure 1 As shown, the high-voltage direct current (HVDC) system provided in this embodiment includes: n parallel HVDC modules (HVDC module 1, HVDC module 2...HVDC module n), each HVDC module including m parallel HVDC units (HVDC-1, HVDC-2...HVDC-m), each HVDC module corresponding to a battery pack (battery pack 1, battery pack 2...battery pack n respectively), the battery packs are connected to the load through m HVDC units (HVDC units), where n and m are both positive integers. The inputs of the n HVDC modules are connected to the AC power grid, and the outputs are connected to the data center to provide stable DC power to the data center's loads (server 1, server 2, server 3, etc.).

[0031] Figure 2 This is a schematic flowchart of a battery capacity control method for a high-voltage DC system provided in an embodiment of this application.

[0032] like Figure 2 As shown, the method in this application embodiment may include the following steps: Step S201: According to the preset capacity mode and capacity parameters, discharge control is performed on the target battery pack to be capacity-controlled in the capacity module, and the target output amount of the target battery pack during the discharge process is determined according to the capacity parameters.

[0033] In this step, the battery capacity assessment mode includes two types: constant current discharge and constant power discharge. For constant current discharge, the capacity assessment parameters include: discharge current, cutoff voltage, and discharge duration. The standard range for the discharge current can be 0.2C to 1C, where C represents the battery's rated capacity. The standard range for the cutoff voltage can be 2.5V to 3V. The preset discharge duration can be determined based on the actual battery's rated capacity and discharge current. For example, if the battery's rated capacity is 500A, the constant current discharge mode is set to 100A (0.2C corresponds to 100A) at 0.2C, the cutoff voltage is set to 2.5V, and the preset discharge duration can be 5 hours. For constant power discharge, the capacity assessment parameters include: discharge power, cutoff voltage, and discharge duration.

[0034] In this step, the target output during the battery capacity assessment process can be either the output current or the output power. The battery capacity assessment mode can be selected according to actual needs. If constant current discharge is used, the target output of the target battery pack during the discharge process is a constant discharge current (e.g., the target output corresponding to 0.2C constant current discharge is 100A); if constant power discharge is used, the target output of the target battery pack during the discharge process is a constant discharge power.

[0035] Step S202: Determine the actual load that the core capacity module needs to bear based on the total load of the data center and the target output.

[0036] In this step, the total load of the data center needs to be collected in real time. This load can be either load current or load power, whichever can be selected based on actual needs. The total load is compared with the target output. If the total load is less than the target output, the actual load that the core capacity module needs to handle is equal to the total load of the data center; if the total load is greater than or equal to the target output, the actual load that the core capacity module needs to handle is equal to the target output.

[0037] For example, if the target battery pack is discharged at a constant current of 0.2C, the target input during the capacity integration process is 100A, while the total load of the data center is 200A. If the target output of the target battery pack during the capacity integration process is insufficient to cover the total load, then the actual load borne by the capacity integration module can only be 100A (to ensure that the capacity integration discharge meets the standard). The remaining load required by the data center (200A-100A=100A) needs to be provided by other non-capacity integration modules (i.e., capacity integration discharge of 100A + other HVDC modules providing 100A, together meeting the load requirements). If the total load of the data center is only 80A, then the target output of 100A during the capacity integration process of the target battery is sufficient to cover the load requirements. In this case, the actual load borne by the capacity integration module is equal to the total load of 80A (to avoid power waste), and there is no need for other non-capacity integration HVDC modules to provide energy.

[0038] Step S203: Based on the actual load and the total load, allocate the load to the non-capacitor high-voltage DC modules in the high-voltage DC system, excluding the core-capacitor module.

[0039] It should be noted that when the high-voltage DC system is working normally, the total load of the data center can be evenly distributed among n HVDC modules. For example, if the total load of the data center is 200A and the high-voltage DC system has a total of 5 HVDC modules, then each HVDC module will bear the load of 40A output.

[0040] When a target battery within a module is undergoing capacity verification, the actual load provided by that module is determined based on the capacity verification parameters. Therefore, to ensure the high-voltage DC system continues to provide a stable voltage to the load, a secondary load redistribution is needed for the other non-capacity HVDC modules. For example, if the total load of a data center is 200A, and the high-voltage DC system has five HVDC modules, and the target output of one of the capacity-verified modules during the capacity verification process is 100A, then the other four non-capacity HVDC modules need to provide a total load of 100A to meet the data center's total load requirement of 200A. Therefore, the remaining 100A of load needs to be redistributed to the other four non-capacity HVDC modules (i.e., secondary redistribution).

[0041] In this embodiment, a system structure is constructed by setting up n parallel high-voltage DC modules, each module containing m parallel high-voltage DC units and 1 battery pack. The battery packs are connected to the load through the high-voltage DC units, so that all n battery packs are in parallel and none are directly connected to the load. According to the preset capacity verification mode and capacity verification parameters, the target battery packs to be verified in the capacity verification module are discharged and controlled. The actual capacity of the target battery pack can be measured separately, and battery packs with capacity decay and low health can be directly identified. This avoids the problem in the prior art that multiple battery packs can be discharged at the same time and only the total capacity can be measured. It realizes the independent capacity verification of a single battery pack without affecting the normal backup power of batteries in other modules. This not only improves the accuracy of battery operation and maintenance, but also ensures the system backup power duration. Furthermore, when determining the target battery capacity, the target output of the target battery pack during discharge is determined. This target output normally powers the load through the HVDC unit. Based on the total load of the data center and the target output, the actual load that the capacity module needs to handle is determined. Based on the actual load and the total load, the load is allocated to other non-capacity HVDC modules in the HVDC system, excluding the capacity module. This process prioritizes using the battery capacity output to power the load. Through the logic of matching the target output with the total load and supplementing the allocation with non-capacity modules, it not only ensures that the battery capacity is adequately supplied... Energy is not wasted during the process, and the total load of the data center is always covered (the core capacity module takes priority on part of the load + the non-core capacity module takes on the remaining load), which takes into account both core capacity requirements and data center power supply stability, avoids the risk of power outages, and ensures stable system power supply operation. In addition, the core capacity module uses its own high-voltage DC unit to control the discharge of the battery pack, without the need for additional core capacity equipment, and perhaps without the need to manually connect or disconnect the battery from the system, reducing equipment costs and manual operation risks. Through power distribution during the core capacity process, the operation and maintenance process is simplified, and the system efficiency and operational safety are improved.

[0042] Figure 3This is a flowchart illustrating a battery capacity control method for a high-voltage DC system according to another embodiment of this application. This embodiment will describe the load allocation during the battery capacity allocation process and the load allocation after the battery capacity allocation is completed.

[0043] like Figure 3 As shown, the method provided in this embodiment may include the following steps: Step S301: According to the preset capacity mode and capacity parameters, discharge control is performed on the target battery pack to be capacity-controlled in the capacity module, and the target output amount of the target battery pack during the discharge process is determined according to the capacity parameters.

[0044] Step S302: Determine the actual load that the core capacity module needs to bear based on the total load of the data center and the target output.

[0045] Step S303: Based on the actual load and the total load, allocate the load to the non-capacitor high-voltage DC modules in the high-voltage DC system, excluding the core-capacitor module.

[0046] It should be noted that the specific implementation methods of steps S301 to S303 above can be found in [reference needed]. Figure 2 The descriptions in the embodiments will not be repeated here.

[0047] Step S304: Monitor the voltage and discharge duration of the target battery pack in the core capacity module in real time. When the voltage of the target battery pack reaches the battery cutoff voltage or the discharge duration reaches the preset discharge duration, stop the core capacity.

[0048] In this step, the cutoff voltage and preset discharge duration are predetermined capacity parameters. For example, the cutoff voltage can be set to 2.5V and the preset discharge duration can be set to 5 hours (h). When the voltage of the target battery pack is less than or equal to 2.5V, capacity approval is stopped; or, when the discharge duration is greater than or equal to 5h, capacity approval is stopped. By limiting the cutoff voltage and discharge duration, over-discharge of the battery can be avoided.

[0049] In this embodiment, the "voltage reaches cutoff voltage" control is used to prevent damage to the electrode structure and permanent capacity decay caused by over-discharge, thus protecting the battery life. The "discharge time reaches preset duration" limit (e.g., constant current discharge preset for 5 hours to ensure full capacity measurement) is used to prevent capacity interruption caused by abnormal battery voltage fluctuations, thus ensuring the accuracy of capacity measurement.

[0050] Step S305: Perform charging control on the target battery pack and adjust the load distribution of the core capacity module in the system according to the charging status information until charging is completed.

[0051] In one possible implementation, this step may include the following: Step 1: Control the charging of the target battery pack according to the preset charging current.

[0052] In this step, the battery charging mode needs to be preset, usually constant current charging, and then the charging current needs to be determined. The charging current setting can be determined based on the total output capacity of the core capacity module. For example, if the total output capacity of the core capacity module is 100A, the charging current can be set to 10A, but is not limited to 10A.

[0053] Step 2: Calculate the difference between the total output of the core capacity module and the output used to charge the target battery pack, to obtain the remaining output of the core capacity module that can be used to power the load.

[0054] In this step, the remaining output capacity of the capacity module that can be used for the load is calculated: Total output capacity of the capacity module - charging current = distributable load capacity (i.e., remaining output capacity); for example, 100A-10A=90A, that is, the remaining output capacity of the capacity module is 90A, indicating that the capacity module can only handle a maximum load of 90A.

[0055] Step 3: During the charging process, monitor the charging power changes of the target battery pack in real time.

[0056] It should be noted that during battery charging, the power increases with voltage during the constant current charging stage, and decreases with current after entering the constant voltage stage. Therefore, the charging power shows a trend of "increasing first and then decreasing".

[0057] Step 4: Based on the charging power change information, reduce the load allocation of the core capacity module in the high voltage DC system so that the load allocation of the core capacity module does not exceed the remaining output of the core capacity module.

[0058] During charging, the capacity module not only supplies power to the load but also charges the battery after capacity charging, thus reducing the available load. In actual system operation, the load allocation of this capacity module needs to be reduced. The extent of this reduction needs to be determined based on changes in battery charging power. Since the charging power initially increases and then decreases during battery charging, the remaining output of the capacity module initially decreases and then increases. Therefore, the reduction amount should initially increase and then decrease (i.e., initially a larger reduction followed by a smaller reduction), eventually restoring normal output.

[0059] In this embodiment, in addition to performing secondary load allocation on other non-capacitated HVDC modules during the battery capacity verification process, ensuring both the accuracy of the capacity verification results and the stability of power supply during the battery capacity verification process, the load allocation of the capacity-capacitated modules is further dynamically adjusted during the charging phase after the battery capacity verification is completed. This ensures that the charging process does not affect the power supply of the capacity-capacitated modules to the load, resolving the issue of "charging and power supply conflict." After capacity verification, battery charging requires the module's output capacity (e.g., if the module's total output is 100A, and charging occupies 10A, then only 90A can supply power). Through "remaining output calculation + load allocation derating," overload caused by the module simultaneously bearing full load and charging power is avoided, ensuring module safety. At the same time, the dynamic adjustment of the load allocation dynamically adapts to changes in charging power (e.g., during the constant current charging phase, the power increases with the voltage increase, requiring further load derating; during the constant voltage phase, the power decreases, and the load can be gradually restored), ensuring that the battery is charged at the standard current (improving charging efficiency) without affecting the stability of the power supply to the data center load.

[0060] In one possible implementation, the process of allocating load to non-capacitive HVDC modules (excluding the core-capacitor modules) in the HVDC system based on the actual load and the total load is called the secondary load allocation process. For details on the specific implementation of the secondary load allocation process, please refer to [reference needed]. Figure 4 .

[0061] Figure 4 This is a flowchart illustrating a battery capacity control method for a high-voltage DC system according to another embodiment of this application. This embodiment describes the specific implementation method of secondary load allocation for other non-capacity-controlled high-voltage DC modules during the battery capacity control process.

[0062] like Figure 4 As shown, the method provided in this embodiment may include the following steps: Step S401: Determine whether the actual load that the core capacity module needs to bear is less than the total load of the data center; if the determination result is yes, then proceed to step S402; otherwise, proceed to step S406.

[0063] In this step, if the actual load carried by the core capacity module is less than the total load of the data center, it means that the output of the core capacity module cannot cover the load demand of the data center and other modules are needed to supplement it; if the actual load carried by the core capacity module is greater than or equal to the total load of the data center, it means that the output of the core capacity module is sufficient to supply power to the load of the data center.

[0064] Step S402: Calculate the difference between the total load and the actual load to obtain the remaining load.

[0065] In this step, the total load of the data center minus the actual load output by the core capacity module is the remaining load that other non-core capacity HVDC modules need to supplement.

[0066] Step S403: Distribute the remaining load evenly to each of the non-capacitance high-voltage DC modules.

[0067] This step involves the first method of secondary allocation of the remaining load: average allocation. That is, remaining load ÷ number of non-capacity HVDC modules = allocation per module, ensuring even load distribution. For example, a high-voltage DC system includes 5 HVDC modules (HVDC module 1, HVDC module 2, HVDC module 3, HVDC module 4, and HVDC module 5). HVDC module 1 has a capacity output of 100A, and the total data center load is 200A, leaving a remaining load of 100A. This remaining load is then evenly distributed to the other 4 non-capacity HVDC modules, with each non-capacity HVDC module handling a load output of 100A ÷ 4 = 25A.

[0068] Step S404: Based on the first optimal load rate range of each non-capacitive high-voltage DC module, the remaining load is allocated to one or more first non-capacitive high-voltage DC modules, so that the load rate of the first non-capacitive high-voltage DC modules is within the first optimal load rate range.

[0069] Step S405: Control the other second non-capacitive high-voltage DC modules (excluding the first non-capacitive high-voltage DC module) in the non-capacitive high-voltage DC module to enter the standby state.

[0070] Steps S404 and S405 represent a second method for secondary allocation of the remaining load: optimal hot standby power allocation. First, the optimal hot standby power allocation is obtained based on the efficiency curve of each non-capacity HVDC module, i.e., the first optimal load rate range of each non-capacity HVDC module is determined (e.g., the optimal load rate range is 45%~60%). Then, according to the optimal hot standby power allocation, a portion of the non-capacity HVDC modules (i.e., the first non-capacity HVDC modules) participate in the joint power supply with the battery capacity module according to the secondary allocated load, so that each first non-capacity HVDC module reaches the optimal load rate. The remaining non-capacity HVDC modules enter the standby state and do not participate in power supply.

[0071] For example, the high-voltage direct current system includes five HVDC modules (HVDC module 1, HVDC module 2, HVDC module 3, HVDC module 4, and HVDC module 5). HVDC module 1 is a core capacity module with an output of 100A. The total load of the data center is 200A, so the remaining load is 100A. When the remaining load of 100A is evenly distributed among the other four non-core capacity HVDC modules, the load rate of each non-core capacity HVDC module is 25%. If the first optimal load rate of the non-capacity HVDC module is 50% (the optimal load rate of 50% corresponds to a load of 50A; that is, the output efficiency of the HVDC module is the highest when the load rate is 50%), then the remaining load is preferentially allocated to two of the remaining four non-capacity HVDC modules (for example, allocated to HVDC module 2 and HVDC module 3), so that HVDC module 2 and HVDC module 3 each bear 50A, and jointly power supply with the capacity module (HVDC module 1), so that these two non-capacity HVDC modules achieve the optimal hot standby power; the other two non-capacity HVDC modules (HVDC module 4 and HVDC module 5) can be controlled to enter the standby state and temporarily not participate in power supply.

[0072] In this embodiment, by adjusting the number of running HVDC modules based on their optimal load rate and the actual total load, the system ensures that the actual load rates of all HVDC modules except for the core capacity module fall within the optimal load rate range. This guarantees stable power supply while improving the efficiency and lifespan of the HVDC modules. If the total load of the data center increases slightly, the load rate of the first non-core capacity module can be directly increased (still within the optimal range) without waking up the modules to be started, resulting in a faster response time.

[0073] In one possible implementation, the state to be started can be a dormant state; non-capacitive HVDC modules that do not participate in power supply can be controlled to enter a dormant state. When the load of the data center increases, one or more dormant HVDC modules can be woken up to participate in power supply according to the increase in the load of the data center, so as to ensure stable power supply.

[0074] In one possible implementation, the state to be started is a hot standby state. When the data center load suddenly increases, it takes a long time for the HVDC module in the dormant state to wake up. In order to ensure uninterrupted and stable power supply to the data center, the state to be started can be a hot standby state. The hot standby state has the ability to start up quickly and can quickly start up to enter the power supply state. In one possible implementation, controlling the other second non-capacitive high-voltage DC modules (excluding the first non-capacitive high-voltage DC module) to enter a standby state includes: reducing the output voltage of the second non-capacitive high-voltage DC modules by a preset value, so that the second non-capacitive high-voltage DC modules are in a hot standby state; when the total load of the data center increases and a preset condition is met, controlling the second non-capacitive high-voltage DC modules in the hot standby state to start and participate in load power supply; the preset condition is that the output voltage of the first non-capacitive high-voltage DC module is the same as the output voltage of the second non-capacitive high-voltage DC module.

[0075] In real-world scenarios, data center loads may suddenly increase. If this sudden increase exceeds the capacity of the core capacity HVDC module and the secondary distributed non-core capacity HVDC module (i.e., the first non-core capacity HVDC module), other dormant non-core capacity HVDC modules may be difficult to wake up in time, easily causing power supply fluctuations. Therefore, this application proposes an optimization scheme: for non-core capacity HVDC modules not involved in power supply (i.e., the second non-core capacity HVDC module), their dormancy is not controlled, but their output voltage is updated to the core capacity module's output voltage minus a preset value (e.g., 3V), putting them in a hot standby state. When the load suddenly increases, the output voltage of the running HVDC module drops. When all HVDC module voltages are consistent, the hot standby HVDC module also enters the working state, normally supplying power to the load and ensuring that the load does not lose power.

[0076] Step S406: Control the other non-capacitor high-voltage DC modules in the high-voltage DC system, excluding the core capacity module, to enter the standby state.

[0077] In this step, when the actual load handled by the core capacity module is greater than or equal to the total load of the data center, it indicates that the output of the core capacity module is sufficient to power the data center load, and no other non-core capacity HVDC modules are needed to provide power. Therefore, other non-core capacity HVDC modules can be controlled to enter a standby state. This standby state can be a hot standby state (not participating in power supply, but having fast startup capability); when the data center load increases, the hot standby HVDC modules are then controlled to enter the power supply state.

[0078] In this embodiment, if the data center load increases too rapidly (e.g., from 200A to 300A), insufficient power supply may occur due to wake-up delay; the hot standby HVDC module only reduces the voltage and does not completely go into hibernation. When the voltage is consistent, it can start instantly to avoid power failure or equipment overload; after the hot standby module starts, it immediately participates in power supply to ensure the stable operation of the data center server.

[0079] In one possible implementation, when performing secondary load allocation on non-capacitance HVDC modules, a rotation strategy can also be adopted: periodically calculate the cumulative running time and the time spent in the standby state of all high-voltage DC modules; switch the module with the longest cumulative running time among the first non-capacitance HVDC modules to the standby state, and wake up the module with the longest standby state among the second non-capacitance HVDC modules.

[0080] In this embodiment, by periodically calculating the "cumulative runtime" and "waiting-to-start runtime" of all HVDC modules, the HVDC modules are controlled to participate in power supply in turn. This avoids accelerated component aging caused by long-term operation (such as always bearing the load) of a certain HVDC module. By rotating the shutdown, the cumulative runtime of all HVDC modules is made uniform (such as the difference in runtime of each module within 24 hours ≤ 1 hour), thus extending the overall service life of the system. Furthermore, during the shutdown process, some modules are always running and some modules are in hot standby, without any gap period of full system load transfer, ensuring uninterrupted power supply. At the same time, waking up the waiting-to-start modules can maintain the total output capacity of the system to cope with subsequent load increases, thereby improving the stability and reliability of the system.

[0081] In one possible implementation, after allocating the load to the non-capacitive HDC modules other than the core-capacitance module in the HDC system, the method further includes: a step of allocating the load to m HDC units within each non-capacitive HDC module with allocated load: distributing the allocated load evenly to the m HDC units; or, according to a second optimal load rate range for each HDC unit, allocating the allocated load to one or more first HDC units, such that the load rate of the first HDC units is within the second optimal load rate range; and controlling the other second HDC units among the m HDC units, excluding the first HDC units, to enter a standby state.

[0082] It should be noted that, in the above Figures 2-4In the illustrated embodiment, the load distribution for other non-capacity HVDC modules is primarily addressed when n HVDC modules have individual battery capacity allocation. Since each HVDC module also includes m HVDC units, load distribution also needs to be performed on each HVDC unit. When distributing the load among the m HVDC units within an HVDC module, the distribution method is the same as that between multiple HVDC modules, mainly of two types: average distribution and distribution according to optimal hot standby power. For example, if an operating HVDC module contains 5 HVDC units and this HVDC module bears a 50A load, then the 50A can be evenly distributed among the 5 HVDC units, with each HVDC unit bearing 10A. To ensure that the HVDC unit operates within the second optimal load rate range (e.g., 45%~60%), 50A can be allocated to two of the five HVDC units (i.e., the two first HVDC units), so that each first HVDC unit reaches a load rate of 50%; the remaining three HVDC units (i.e., the three second HVDC units) enter hot standby mode; when the load on the HVDC module suddenly increases, the HVDC units in hot standby are woken up to participate in power supply.

[0083] It should be noted that the detailed implementation process of load distribution among the m HVDC units within a single HVDC module can be found above. Figures 2-4 The descriptions in the illustrated embodiments will not be repeated here.

[0084] In this embodiment, uneven load distribution within the HVDC module can lead to localized overheating and varying lifespans. Even distribution or optimal hot standby power distribution can balance the load on the units, preventing single-unit overload damage and extending unit lifespan. Furthermore, allowing the HVDC units to operate within their optimal load range results in higher overall module conversion efficiency and further reduces system energy consumption. The second HVDC unit to be started can serve as a "backup unit" within the module. If the first HVDC unit experiences a sudden failure, the second HVDC unit can be immediately activated to supplement the load distribution, preventing the entire module from shutting down and improving system power redundancy.

[0085] It should be noted that the load quantity in the above embodiments can be either load current or load power, which can be determined according to actual needs. The above examples are explained using load current as an example. If it is load power, the above method implementation process is similar, and will not be explained in detail here.

[0086] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0087] Figure 5This is a schematic diagram of the structure of a high-voltage direct current system provided in another embodiment of this application.

[0088] like Figure 5 As shown, the high-voltage direct current system provided in this embodiment may include: n parallel high-voltage direct current modules, a data acquisition unit, and a control unit; wherein, each high-voltage direct current module includes m parallel high-voltage direct current units and a battery pack, and the battery pack is connected to the load through the m high-voltage direct current units, where n and m are both positive integers.

[0089] The data acquisition unit is used to collect the total load of the data center and send the total load to the control unit.

[0090] Among them, the input of n HVDC modules is connected to the AC power grid, and the output is connected to the data center to provide stable DC power for the load of the data center (server 1, server 2, server 3, etc.).

[0091] In this embodiment, the control unit is connected to the data acquisition unit and also to each HVDC module, and is the main body for executing the battery capacity control method provided in the above method embodiment.

[0092] It should be noted that the detailed implementation process of the above system embodiments can be found in the relevant method embodiments section, and will not be repeated here.

[0093] Figure 6 This is a schematic diagram of the structure of a control device provided in one embodiment of this application. Figure 6 As shown, the device 600 of this embodiment includes a processor 610 and a memory 620, wherein the memory 620 stores a computer program 621 that can run on the processor 610. When the processor 610 executes the computer program 621, it implements the steps in any of the above method embodiments. Alternatively, when the processor 610 executes the computer program 621, it implements the functions of each module / unit in the above device embodiments.

[0094] For example, computer program 621 may be divided into one or more modules / units, one or more of which are stored in memory 620 and executed by processor 610 to complete this application. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of computer program 621 in device 600.

[0095] Those skilled in the art will understand that Figure 6 This is merely an example of a device and does not constitute a limitation on the device. It may include more or fewer components than shown, or combinations of certain components, or different components, such as input / output devices, network access devices, buses, etc.

[0096] The processor 610 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0097] The memory 620 can be an internal storage unit of the device, such as a hard disk or RAM, or an external storage device, such as a plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card. The memory 620 can also include both internal and external storage units. The memory 620 is used to store computer programs and other programs and data required by the device. The memory 620 can also be used to temporarily store data that has been output or will be output.

[0098] For the sake of simplicity and clarity, only the above-described functional modules / units are used as examples. In practical applications, the functions described above can be assigned to different functional modules / units as needed. These modules / units can be implemented in hardware, software, or a combination of both.

[0099] An embodiment of this application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the battery capacity control method in the above-described method embodiments.

[0100] This invention also provides a computer program product, including a computer program. When the computer program is executed by a processor, it implements the battery capacity control method in the above-described method embodiments.

[0101] Computer programs include computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. Computer-readable media can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0102] In the above embodiments, the descriptions of each embodiment have their own emphasis. Parts not detailed or described in a particular embodiment can be referred to in the relevant descriptions of other embodiments. Unless otherwise specified or in conflict with logic, the terminology and / or descriptions between different embodiments are consistent and can be referenced interchangeably. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0103] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A battery capacity control method for a high-voltage direct current system, characterized in that, The high-voltage direct current system includes n parallel high-voltage direct current modules, each high-voltage direct current module including m parallel high-voltage direct current units and a battery pack, the battery pack being connected to the load through the m high-voltage direct current units, where n and m are both positive integers; the method includes: According to the preset capacity mode and capacity parameters, the target battery pack to be capacity-controlled in the capacity module is discharged, and the target output of the target battery pack during the discharge process is determined according to the capacity parameters. The actual load that the core capacity module needs to bear is determined based on the total load of the data center and the target output. Based on the actual load and the total load, the load is allocated to the non-capacitor HVDC modules in the HVDC system, excluding the core capacity module.

2. The battery capacity control method for a high-voltage DC system according to claim 1, characterized in that, Also includes: The voltage and discharge duration of the target battery pack in the core capacity module are monitored in real time. When the voltage of the target battery pack reaches the battery cutoff voltage or the discharge duration reaches the preset discharge duration, the core capacity is stopped.

3. The battery capacity control method for a high-voltage DC system according to claim 2, characterized in that, After stopping the nuclear capacity, the method further includes: The target battery pack is charged according to a preset charging current. Calculate the difference between the total output of the core capacity module and the output used to charge the target battery pack to obtain the remaining output of the core capacity module that can be used to power the load; During the charging process, the charging power change information of the target battery pack is monitored in real time; Based on the charging power change information, the load allocation of the core capacity module in the high voltage DC system is reduced so that the load allocation of the core capacity module does not exceed the remaining output of the core capacity module.

4. The battery capacity control method for a high-voltage DC system according to claim 1, characterized in that, The step of allocating loads to the non-capacitor-equipped HVDC modules in the HVDC system, excluding the core-capacitor module, based on the actual load and the total load includes: Calculate the difference between the total load and the actual load to obtain the remaining load. The remaining load is evenly distributed to each of the non-capacitance high-voltage DC modules.

5. The battery capacity control method for a high-voltage DC system according to claim 1, characterized in that, The step of allocating loads to the non-capacitor-equipped HVDC modules in the HVDC system, excluding the core-capacitor module, based on the actual load and the total load includes: Calculate the difference between the total load and the actual load to obtain the remaining load. Based on the first optimal load rate range of each non-capacitive high-voltage DC module, the remaining load is allocated to one or more first non-capacitive high-voltage DC modules, so that the load rate of the first non-capacitive high-voltage DC modules is within the first optimal load rate range. Control the other second non-capacitance high-voltage DC modules in the non-capacitance high-voltage DC module group, excluding the first non-capacitance high-voltage DC module group, to enter the standby state.

6. The battery capacity control method for a high-voltage DC system according to claim 5, characterized in that, The state to be started is a hot standby state; The step of controlling the other second non-capacitive high-voltage DC modules (excluding the first non-capacitive high-voltage DC module) in the non-capacitive high-voltage DC module to enter the standby state includes: The output voltage of the second non-capacitive high-voltage DC module is reduced by a preset value, so that the second non-capacitive high-voltage DC module is in hot standby mode. When the total load of the data center increases and a preset condition is met, the second non-capacitive high-voltage DC module, which is in hot standby mode, is started and participates in the load power supply; the preset condition is that the output voltage of the first non-capacitive high-voltage DC module is the same as the output voltage of the second non-capacitive high-voltage DC module.

7. The battery capacity control method for a high-voltage DC system according to claim 5, characterized in that, Also includes: Regularly calculate the cumulative runtime and standby time of all high-voltage DC modules; The module with the longest cumulative running time in the first non-capacitance high-voltage DC module is switched to the standby state, and the module with the longest standby time in the second non-capacitance high-voltage DC module is woken up.

8. The battery capacity control method for a high-voltage DC system according to claim 1, characterized in that, The step of determining the actual load that the core capacity module needs to bear based on the total load of the data center and the target output includes: If the total load is less than the target output, then the actual load that the core capacity module needs to bear is equal to the total load. If the total load is greater than or equal to the target output, then the actual load that the core capacity module needs to bear is equal to the target output.

9. The battery capacity control method for a high-voltage DC system according to any one of claims 1 to 8, characterized in that, After allocating the load to the non-capacitive HVDC modules in the HVDC system other than the core-capacitor module, the method further includes: The steps for load allocation among m high-voltage DC units within each non-capacitance high-voltage DC module with allocated load are as follows: The allocated load is evenly distributed to the m high-voltage DC units; or, According to the second optimal load rate range of each high voltage DC unit, the allocated load is distributed to one or more first high voltage DC units, so that the load rate of the first high voltage DC units is within the second optimal load rate range; Control the other second high-voltage DC units among the m high-voltage DC units, excluding the first high-voltage DC unit, to enter the standby state.

10. A high-voltage direct current system, characterized in that, include: n parallel high-voltage DC modules, data acquisition units, and control units; Each high-voltage DC module includes m parallel high-voltage DC units and a battery pack. The battery pack is connected to the load through the m high-voltage DC units, where n and m are both positive integers. The data acquisition unit is used to collect the total load of the data center and send the total load to the control unit; The control unit is used to execute the battery capacity control method according to any one of claims 1 to 9.

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