Capacity expansion method and device of energy storage battery system, clustering system and medium

Abstract

The invention discloses a capacity expansion method and device of an energy storage battery system, a clustering system and a medium, and relates to the technical field of energy storage batteries. According to the scheme, the battery type and the operation duration of the battery corresponding to each energy storage battery system are determined, and the target battery parameter adaptive to each energy storage battery system is determined according to each battery type, so that uniform adaptation of charging and discharging MAPs of different types of batteries is at least realized; meanwhile, the use difference of new and old batteries is considered, a direct current clustering strategy corresponding to the energy storage battery system is determined according to each operation duration, and the adverse effect of direct clustering of the new and old batteries is avoided; and finally, based on the target battery parameters and the corresponding direct current cluster merging strategies, direct current cluster merging operation of the energy storage battery systems is controlled, the whole capacity expansion process does not need to carry out any equipment modification on the cluster merging systems, the influence of battery models and differences between new and old batteries is not limited, and it is effectively guaranteed that the batteries of various models operate under the safe condition.

Description

Technical Field

[0001] This application relates to the field of energy storage battery technology, and in particular to a method, apparatus, clustering system and medium for expanding the capacity of an energy storage battery system. Background Technology

[0002] With the increasingly widespread application of energy storage battery systems, customers are increasingly demanding capacity expansion or power increase for existing systems. Currently, this is mainly achieved by adding battery modules, upgrading supporting equipment, or optimizing the management system. Common solutions include parallel connection of the AC side of the power conversion system (PCS) and direct parallel connection of the DC side of the same type of battery system. However, these methods face many challenges in practical applications.

[0003] Firstly, while parallel connection of inverters on the AC side can achieve one cluster per management unit, it may not be able to meet the full power operation of the PCS at low temperatures, at the end of discharge, or at the end of charging. Moreover, additional PCS equipment needs to be purchased for multiple backup power requirements, affecting customers' willingness to buy. On the other hand, the conventional direct strong parallel connection method on the DC side is simple, but it is limited by the production batches and models of new and old batteries, as well as the introduction of cell replacement materials. In particular, it is difficult to achieve cluster expansion after the installed products are discontinued after a few years.

[0004] Given the above, how to solve the challenges faced by current energy storage battery system expansion solutions, such as the limitation of PCS full-power operation, high equipment procurement costs, and compatibility issues between new and old batteries, is an urgent problem for technical personnel in this field. Summary of the Invention

[0005] The purpose of this application is to provide a method, apparatus, clustering system and medium for expanding the capacity of an energy storage battery system, in order to solve the problems faced by current energy storage battery system expansion schemes, such as limited full-power operation of PCS, high equipment procurement costs and compatibility issues between new and old batteries.

[0006] To address the aforementioned technical problems, this application provides a method for expanding the capacity of an energy storage battery system, applicable to a clustered system comprising multiple energy storage battery systems; the method includes:

[0007] Determine the battery type and operating time of each of the energy storage battery systems;

[0008] Determine the target battery parameters to be adapted to each of the energy storage battery systems based on each of the battery types described;

[0009] The DC clustering strategy for each energy storage battery system is determined based on the runtime of each system.

[0010] Based on the target battery parameters and the corresponding DC-coupled strategy, the DC-coupled operation of each energy storage battery system is controlled.

[0011] On the one hand, determining the battery type corresponding to each of the aforementioned energy storage battery systems includes:

[0012] After the battery management system is powered on and initialized, the corresponding microcontroller input / output ports are read through the battery management system to obtain the corresponding battery signal values;

[0013] The battery type corresponding to the energy storage battery system is determined based on the battery signal value.

[0014] On the other hand, after determining the battery type corresponding to the energy storage battery system based on the battery signal value, the method further includes:

[0015] Configure the battery parameters corresponding to the energy storage battery system according to the battery type;

[0016] The battery parameters include at least nominal capacity, nominal energy, charging characteristic spectrum, discharging characteristic spectrum, voltage and temperature operating parameters, charging cut-off voltage, and discharging cut-off voltage.

[0017] On the other hand, determining the target battery parameters suitable for each of the aforementioned energy storage battery systems based on each of the aforementioned battery types includes:

[0018] The main energy storage battery system is used to determine whether the battery types are the same.

[0019] If so, the non-battery model hybrid system identifier is broadcast through the main energy storage battery system;

[0020] If not, the target battery parameters are generated based on the battery parameters of each of the energy storage battery systems; wherein the target charging feature map and the target discharging feature map in the target battery parameters are the minimum charging feature map and the minimum discharging feature map in the battery parameters of each of the energy storage battery systems.

[0021] The main energy storage battery system broadcasts the battery model hybrid system identifier, and also broadcasts the target charging characteristic spectrum and the target discharging characteristic spectrum.

[0022] On the other hand, determining the DC-DC clustering strategy for each of the energy storage battery systems based on the respective operating durations includes:

[0023] The target energy storage battery system with the smallest voltage value among the various energy storage battery systems is determined by the main energy storage battery system, and the difference in operating time between the target energy storage battery system and the operating time of the other energy storage battery systems is determined respectively.

[0024] The main energy storage battery system determines whether the differences in the running time of each item are all less than the threshold.

[0025] If so, a non-new / old mixed-use flag is broadcast through the main energy storage battery system;

[0026] If not, the new and old hybridization flag is broadcast through the main energy storage battery system;

[0027] Based on the non-new / old mixed-use flag or the new / old mixed-use flag, and the corresponding battery state and voltage threshold, the DC clustering strategy of each energy storage battery system is generated.

[0028] On the other hand, based on the non-new / old mixed-use flag or the new / old mixed-use flag, and the corresponding battery state and voltage threshold, the DC-DC clustering strategy for each of the energy storage battery systems is generated, including:

[0029] When the energy storage battery system is set to the non-new and old mixed flag, the battery status and initial voltage threshold of the energy storage battery system are obtained through the main energy storage battery system, and it is determined whether the battery status of the energy storage battery system is a non-fault state and whether the corresponding voltage value is less than the voltage threshold.

[0030] If the battery state is a non-fault state and the corresponding voltage value is less than the voltage threshold, then the DC-DC clustering strategy of the energy storage battery system is determined to be DC-DC clustering allowed.

[0031] If the battery state is a fault state, and / or the corresponding voltage value is not less than the voltage threshold, then the DC-DC clustering strategy of the energy storage battery system is determined to be not allowed to be DC-DC clustering.

[0032] When the energy storage battery system is set to the new and old mixed flag, the main energy storage battery system determines the target voltage threshold based on the health status of the energy storage battery system, and determines whether the battery status of the energy storage battery system is a non-fault state and whether the corresponding voltage value is less than the target voltage threshold.

[0033] If the battery state is a non-fault state and the corresponding voltage value is less than the target voltage threshold, then the DC-DC clustering strategy of the energy storage battery system is determined to be DC-DC clustering allowed.

[0034] If the battery state is faulty and / or the corresponding voltage value is not less than the target voltage threshold, then the DC-DC clustering strategy of the energy storage battery system is determined to be not allowed.

[0035] On the other hand, based on the target battery parameters and the corresponding DC-DC clustering strategy, controlling the DC-DC clustering operation of each energy storage battery system includes:

[0036] When the DC clustering strategy of the energy storage battery system is to disallow DC clustering, the DC clustering of the energy storage battery system is refused.

[0037] When the DC parallel clustering strategy of the energy storage battery system is set to allow DC parallel clustering and is marked as the non-battery model hybrid system flag, the DC parallel clustering of the energy storage battery system is executed, and the operation of the energy storage battery system is controlled according to the corresponding battery parameters.

[0038] When the DC parallel clustering strategy of the energy storage battery system is set to allow DC parallel clustering and the battery model hybrid system flag is set, the DC parallel clustering of the energy storage battery system is executed, and the operation of the energy storage battery system is controlled according to the target charging characteristic map and the target discharging characteristic map.

[0039] To address the aforementioned technical problems, this application also provides a capacity expansion device for an energy storage battery system, applicable to a clustered system comprising multiple energy storage battery systems; the device includes:

[0040] The first determining module is used to determine the battery type and operating time of the corresponding battery in each of the energy storage battery systems;

[0041] The second determining module is used to determine the target battery parameters that are compatible with each of the energy storage battery systems according to each of the battery types.

[0042] The third determining module is used to determine the DC clustering strategy of each energy storage battery system based on the runtime of each system.

[0043] The control module is used to control the DC-coupled operation of each of the energy storage battery systems based on the target battery parameters and the corresponding DC-coupled strategy.

[0044] To address the aforementioned technical problems, this application also provides a clustering system, comprising:

[0045] Memory, used to store computer programs;

[0046] A processor is used to implement the steps of the above-described method for expanding the capacity of the energy storage battery system when executing the computer program.

[0047] To address the aforementioned technical problems, this application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described method for expanding the capacity of an energy storage battery system.

[0048] The capacity expansion method for energy storage battery systems provided in this application determines the battery type and operating time of each energy storage battery system, and determines the target battery parameters adapted to each energy storage battery system based on each battery type, thus achieving at least unified adaptation of the charge and discharge MAP of different battery types. Simultaneously, it considers the differences in the use of new and old batteries, and determines the DC paralleling strategy for the corresponding energy storage battery system based on each operating time, avoiding the adverse effects of directly paralleling new and old batteries. Finally, based on the target battery parameters and the corresponding DC paralleling strategy, it controls the DC paralleling operation of each energy storage battery system. The entire capacity expansion process requires no equipment modification to the paralleling system and is not affected by differences in battery models or whether the batteries are new or old, effectively ensuring the safe operation of various battery models.

[0049] In addition, this application also provides a capacity expansion device, a clustering system and a medium for an energy storage battery system, with the same effect as above. Attached Figure Description

[0050] To more clearly illustrate the embodiments of this application, the accompanying drawings used in the embodiments 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.

[0051] Figure 1 A flowchart illustrating a method for expanding the capacity of an energy storage battery system, as provided in this application embodiment;

[0052] Figure 2 This is an architectural diagram of a hybrid and expanded capacity energy storage battery system provided in an embodiment of this application;

[0053] Figure 3 A schematic diagram of an expansion device for an energy storage battery system provided in an embodiment of this application;

[0054] Figure 4 This is a structural diagram of a clustering system provided in an embodiment of this application. Detailed Implementation

[0055] 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 protection scope of this application.

[0056] The core of this application is to provide a method, device, clustering system and medium for expanding the capacity of an energy storage battery system, so as to solve the problems faced by current energy storage battery system expansion schemes, such as limited full-power operation of PCS, high equipment procurement costs and compatibility between new and old batteries.

[0057] To enable those skilled in the art to better understand the present application, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0058] The core of expanding the capacity of energy storage battery systems is to increase the energy storage capacity and charging / discharging power on the existing basis by adding battery modules, upgrading supporting equipment, or optimizing the management system. Current expansion and power increase solutions mainly include parallel connection of PCS (Alternating Current Battery Systems) at the AC end and direct forced parallel connection of battery systems of the same model at the DC end. The PCS AC end parallel connection method involves connecting one inverter to one battery system to form an energy storage system. Multiple energy storage systems are connected in parallel at the AC end to meet the expansion or power increase requirements. This method allows for one-cluster management and precise charging / discharging control. However, it cannot meet the full-power operation of the PCS at low temperatures, or at the end of the discharge or charging process. Furthermore, customers need to purchase more PCS equipment to meet the demand for additional backup power, which affects their willingness to buy. The direct forced parallel connection method involves directly connecting battery systems of the same model and voltage platform in parallel at the DC end. This method can be implemented without any updates, but it is limited by the production batches and models of new and old batteries, the introduction of cell substitutes, and other issues, making cluster expansion impossible. Therefore, to solve the above problems, this application provides a method for expanding the capacity of energy storage battery systems.

[0059] It should be noted that the method provided in this application is applied to a clustered system comprising multiple energy storage battery systems. In the clustered system, there is one master energy storage battery system and multiple slave energy storage battery systems, with the master energy storage battery system responsible for managing the remaining slave energy storage battery systems. Furthermore, the battery type and operating time of each battery in the energy storage battery system are identical.

[0060] Figure 1 This is a flowchart illustrating a method for expanding the capacity of an energy storage battery system, as provided in an embodiment of this application. Figure 1 As shown, the method includes:

[0061] S10: Determine the battery type and operating time of each energy storage battery system.

[0062] To expand and cluster energy storage battery systems, the first step is to determine the battery type and operating time of each battery in the existing cluster system. It's important to note that "each energy storage battery system" here includes both existing systems within the cluster and those to be added. Furthermore, the battery type determined in this embodiment refers to one or more of the following: battery chemistry, capacity, composition, and packaging method. This embodiment does not impose restrictions on the specific process for determining the battery type; it depends on the specific implementation. Secondly, the battery operating time can be directly determined by its usage time after being put into operation.

[0063] S11: Determine the target battery parameters to be adapted to each energy storage battery system based on each battery type.

[0064] Battery parameters for an energy storage battery system include at least nominal capacity, nominal energy, charging characteristic profile, discharging characteristic profile, voltage and temperature operating parameters, charging cut-off voltage, and discharging cut-off voltage, and may also include other parameters. Among these, the charging characteristic profile (MAP) and discharging characteristic profile of an energy storage battery are key concepts in a Battery Management System (BMS), representing the battery's performance characteristics under different charging and discharging conditions, respectively. These MAPs are plotted using experimental data, showing the relationship between battery parameters such as voltage, current, and temperature and the state of charge or discharge, helping to optimize charging and discharging strategies, extend battery life, and ensure the safe and efficient operation of the system.

[0065] In this embodiment, since the battery types of the various energy storage battery systems in the parallel system are not entirely the same, there may be performance differences due to manufacturing and usage environments. Therefore, to avoid the impact of paralleling the various energy storage battery systems on the overall performance and safety of the parallel system, target battery parameters adapted to each energy storage battery system are determined based on each battery type. This requires adapting at least the target charging MAP and target discharging MAP, thereby uniformly managing the charging and discharging process of each battery, ensuring consistency, optimizing system performance, extending battery life, and preventing safety hazards such as overcharging and over-discharging, effectively improving the overall efficiency and reliability of the system. It should be noted that this embodiment does not limit the specific process for determining the target battery parameters; it depends on the specific implementation situation.

[0066] S12: Determine the DC clustering strategy for each energy storage battery system based on the duration of each operation.

[0067] Furthermore, considering the differences in production batches and operating times of different energy storage battery systems, directly connecting them in parallel could easily lead to uneven current distribution during operation. Newer batteries might experience prolonged overload, while older batteries would be undercharged, accelerating overall aging and increasing the risk of thermal runaway, thus failing to achieve safe and stable capacity expansion. Therefore, this embodiment requires determining the DC paralleling strategy for each energy storage battery system based on its operating time. Specifically, the DC paralleling strategy includes allowing and disallowing DC paralleling, ensuring that the performance of each energy storage battery system in the paralleled system is essentially consistent. This embodiment does not restrict the specific process for determining the DC paralleling strategy for each energy storage battery system.

[0068] S13: Based on the target battery parameters and the corresponding DC-DC clustering strategy, control the DC-DC clustering operation of each energy storage battery system.

[0069] Finally, based on the obtained target battery parameters and corresponding DC parallel clustering strategy, the DC parallel clustering operation of each energy storage battery system is controlled, thereby realizing the expansion of the energy storage battery system without being limited by battery model, production batch, or charging and discharging capacity. It only needs to ensure that the nominal capacity of the cells is consistent and the voltage platform of the battery system is consistent, without any equipment modification or cost increase.

[0070] In this embodiment, by determining the battery type and operating time of the corresponding batteries in each energy storage battery system, and determining the target battery parameters adapted to each energy storage battery system based on each battery type, at least the unified adaptation of the charge and discharge MAP of different battery types is achieved. At the same time, the differences in the use of new and old batteries are considered, and the DC parallel clustering strategy of the corresponding energy storage battery system is determined based on each operating time, avoiding the adverse effects of direct parallel clustering of new and old batteries. Finally, based on the target battery parameters and the corresponding DC parallel clustering strategy, the DC parallel clustering operation of each energy storage battery system is controlled. The entire capacity expansion process does not require any equipment modification to the parallel clustering system and is not affected by the differences in battery models and new and old batteries, effectively ensuring the safe operation of various battery models.

[0071] Based on the above embodiments, in some embodiments, the battery type corresponding to each energy storage battery system is determined, including:

[0072] S101: After the battery management system is powered on and initialized, the corresponding microcontroller input / output port is read through the battery management system to obtain the corresponding battery signal value.

[0073] S102: Determine the battery type of the corresponding energy storage battery system based on the battery signal value.

[0074] To accurately determine the battery type of each energy storage battery system, in this embodiment, after the BMS is powered on and initialized, the corresponding microcontroller input / output (MCU_IO) ports are read through the BMS to obtain the corresponding battery signal values. It is understood that each energy storage battery system has a corresponding BMS. Subsequently, the battery type of the corresponding energy storage battery system is determined based on the battery signal values. For example, a battery signal value of 0 represents battery A, and a battery signal value of 1 represents battery B, etc. This embodiment does not impose restrictions on the correspondence between battery signal values ​​and battery types; it depends on the specific implementation.

[0075] Furthermore, to facilitate the cluster system in managing battery operation according to specified battery capabilities, in some embodiments, after determining the battery type of the corresponding energy storage battery system based on battery signal values, the following steps are also included:

[0076] S103: Configure the battery parameters of the corresponding energy storage battery system according to the battery type.

[0077] The battery parameters include at least the nominal capacity, nominal energy, charging characteristic spectrum, discharging characteristic spectrum, voltage and temperature operating parameters, charging cut-off voltage, and discharging cut-off voltage.

[0078] Specifically, after determining the battery type, the BMS will configure the corresponding battery parameters for the system based on the identified battery type. It should be noted that the battery parameters include at least the nominal capacity, nominal energy, charging MAP, discharging MAP, voltage and temperature operating parameters, charging cut-off voltage, and discharging cut-off voltage, and may also include other parameters, depending on the specific implementation.

[0079] This enables the accurate determination of battery type and configuration of battery parameters, so that the cluster system can manage and control the charging and discharging operation according to the specified battery capacity.

[0080] To enable the clustered system to have MAP (Magnetic Mapping) capability for switching adaptation, based on the above embodiments, in some embodiments, the target battery parameters adapted to each energy storage battery system are determined according to each battery type, including:

[0081] S111: Determine whether the battery types are the same through the main energy storage battery system; if yes, proceed to step S112; if no, proceed to step S113.

[0082] S112: Broadcast the hybrid system identifier of non-battery models through the main energy storage battery system.

[0083] S113: Generate target battery parameters based on the battery parameters of each energy storage battery system.

[0084] Among them, the target charging characteristic spectrum and target discharging characteristic spectrum in the target battery parameters are the minimum charging characteristic spectrum and minimum discharging characteristic spectrum in the battery parameters of each energy storage battery system.

[0085] S114: Broadcast the battery model hybrid system identifier through the main energy storage battery system, and broadcast the target charging characteristic spectrum and the target discharging characteristic spectrum.

[0086] In practical implementation, to determine the target battery parameters, the main energy storage battery system in the cluster system determines whether the battery types are the same. If it is confirmed that the battery types of all energy storage battery systems are the same, it means that the battery models of all clusters are consistent. At this time, the main energy storage battery system broadcasts a non-battery model mixed-parallel system flag, so that after receiving the non-battery model mixed-parallel system flag from the energy storage battery system, it can control the operation according to the battery parameters it has identified. If it is confirmed that the battery types of each energy storage battery system are different, it means that the battery models of all clusters are not completely consistent. At this time, the main energy storage battery system generates target battery parameters based on the battery parameters of each energy storage battery system. Specifically, it determines the minimum charging MAP and minimum discharging MAP of the battery parameters of each energy storage battery system as the target charging MAP and target discharging MAP, thus obtaining the target battery parameters. At the same time, it broadcasts the battery model mixed-parallel system flag, as well as the target charging MAP and target discharging MAP, so that after receiving the battery model mixed-parallel system flag from the energy storage battery system, it can control the operation according to the target charging MAP, target discharging MAP, and other battery parameters it has identified.

[0087] In this way, the corresponding charge and discharge capabilities of each energy storage battery system are adapted. In this process, since each energy storage battery system uses the minimum charge and discharge MAP, it can effectively prevent the use of its own charge and discharge MAP from exceeding the minimum charge and discharge MAP, which would affect the system life and safety.

[0088] Figure 2 This is an architecture diagram of a hybrid and expanded capacity energy storage battery system provided in an embodiment of this application. To determine whether each energy storage battery system is allowed to be directly clustered, based on the above embodiments, in some embodiments, such as… Figure 2 As shown, the DC-DC clustering strategy for each energy storage battery system is determined based on the duration of each operation, including:

[0089] S121: Determine the target energy storage battery system with the smallest voltage value among all energy storage battery systems through the main energy storage battery system, and determine the difference in operating time between the target energy storage battery system and the operating time of the other energy storage battery systems.

[0090] S122: Determine whether the difference in runtime of each operation is less than the threshold by the main energy storage battery system; if yes, proceed to step S123; if no, proceed to step S124.

[0091] S123: Broadcast non-new / old hybrid status via the main energy storage battery system.

[0092] S124: Broadcast the new and old hybridization signs through the main energy storage battery system.

[0093] S125: Generate DC clustering strategies for each energy storage battery system based on the non-new / old mixed-parallel flag or the new / old mixed-parallel flag, as well as the corresponding battery state and voltage threshold.

[0094] Specifically, using the main energy storage battery system in the cluster system, a target energy storage battery system with the lowest voltage value is identified among all energy storage battery systems. The runtime difference between the target energy storage battery system and the runtimes of the other energy storage battery systems is then determined. Subsequently, the main energy storage battery system is used to determine whether each runtime difference is less than a threshold. In this embodiment, the threshold value is not limited; for example, it could be 2 years, depending on the specific implementation.

[0095] If all runtime differences are confirmed to be less than the threshold, it is assumed that there is no mixing of old and new battery systems among the energy storage battery systems, and a non-mixing flag can be broadcast through the main energy storage battery system. If a runtime difference is confirmed to be greater than the threshold, it is assumed that there is mixing of old and new battery systems among the energy storage battery systems, and a mixing flag must be broadcast through the main energy storage battery system. Finally, based on the generated non-mixing or mixing flags, and the corresponding battery states and voltage thresholds, a DC clustering strategy for each energy storage battery system is generated. The generation process of the DC clustering strategy is explained in detail below:

[0096] (1) Not a mixture of old and new;

[0097] When the energy storage battery system is set to the non-new / old mixed-use flag, the battery status and initial voltage threshold of the energy storage battery system are obtained through the main energy storage battery system, and it is determined whether the battery status of the energy storage battery system is a non-fault state and whether the corresponding voltage value is less than the initial voltage threshold.

[0098] If the battery is in a non-fault state and the corresponding voltage value is less than the initially configured voltage threshold, then the DC-DC clustering strategy of the energy storage battery system is determined to be DC-DC clustering allowed; if the battery is in a fault state and / or the corresponding voltage value is not less than the voltage threshold, then the DC-DC clustering strategy of the energy storage battery system is determined to be DC-DC clustering not allowed.

[0099] (2) Merging of old and new;

[0100] When the energy storage battery system is set to the new / old mixed-use flag, the main energy storage battery system determines the target voltage threshold based on the State of Health (SOH) of the energy storage battery system, and determines whether the battery state of the energy storage battery system is non-faulty and whether the corresponding voltage value is less than the target voltage threshold. It is important to note that determining the target voltage threshold based on the SOH of the energy storage battery systems specifically depends on the magnitude of the SOH difference between the various energy storage battery systems. A mapping table containing multiple sets of SOH differences and voltage thresholds can be pre-configured. After calculating the SOH difference, the corresponding target voltage threshold is determined by looking up the table. It is understood that each voltage threshold in the mapping table is an empirical value verified through testing.

[0101] If the battery is in a non-fault state and the corresponding voltage value is less than the target voltage threshold, then the DC-DC clustering strategy of the energy storage battery system is determined to be DC-DC clustering allowed; if the battery is in a fault state and / or the corresponding voltage value is not less than the target voltage threshold, then the DC-DC clustering strategy of the energy storage battery system is determined to be DC-DC clustering not allowed.

[0102] Thus, under different hybridization flags, based on the relationship between the battery state and voltage value of the energy storage battery system and the voltage threshold, the corresponding DC clustering strategy is accurately generated, so as to facilitate the subsequent control of the normal operation of the clustering system according to the strategy.

[0103] To control the operation of the clustering system, based on the above embodiments, in some embodiments, the DC clustering operation of each energy storage battery system is controlled based on target battery parameters and corresponding DC clustering strategies, including:

[0104] S131: When the DC clustering strategy of the energy storage battery system is not allowed, the DC clustering of the energy storage battery system is refused.

[0105] S132: When the DC paralleling strategy of the energy storage battery system is set to allow DC paralleling and is marked as a non-battery model hybrid system, the DC paralleling of the energy storage battery system is executed, and the operation of the energy storage battery system is controlled according to the corresponding battery parameters.

[0106] S133: When the DC parallel clustering strategy of the energy storage battery system is set to allow DC parallel clustering and the battery model hybrid system flag is set, the DC parallel clustering of the energy storage battery system is executed, and the operation of the energy storage battery system is controlled according to the target charging characteristic map and the target discharging characteristic map.

[0107] Specifically, in the above embodiments, regardless of whether there is a mix of old and new battery systems, the corresponding DC paralleling strategy can be determined by the relationship between the corresponding battery state and voltage value and the voltage threshold, thus ensuring that the paralleling process is unaffected by the old and new battery systems. Based on this, when the DC paralleling strategy of the energy storage battery system is set to disallow DC paralleling, it means that this system is not allowed to be integrated into the paralleling system, and the DC paralleling of this energy storage battery system is directly rejected. When the DC paralleling strategy of the energy storage battery system is set to allow DC paralleling and is marked as a non-battery type mixed system, it means that the energy storage battery system is allowed to be paralleled and the battery type is the same as other systems. The DC paralleling of the energy storage battery system is directly executed, and the operation of the energy storage battery system is controlled according to the corresponding battery parameters. However, when the DC paralleling strategy of the energy storage battery system is set to allow DC paralleling and is marked as a battery type mixed system, it means that the energy storage battery system is allowed to be paralleled and the battery type is different from other systems. Although the DC paralleling of the energy storage battery system can be executed, the operation of the energy storage battery system needs to be controlled according to the target charging MAP and target discharging MAP.

[0108] In summary, the capacity expansion method for energy storage battery systems provided in this application is not limited by battery model, production batch, or charge / discharge capacity, nor is it affected by new or old battery systems. It only requires that the nominal capacity and voltage platform of the battery cells be consistent, without any equipment modifications or cost increases. It can also meet the full-power operation of the inverter in end-of-life or low-temperature environments.

[0109] In the above embodiments, the expansion of the energy storage battery system has been described in detail. This application also provides embodiments corresponding to the expansion device for the energy storage battery system.

[0110] Figure 3 This is a schematic diagram of a capacity expansion device for an energy storage battery system provided in an embodiment of this application. The device is applied to a clustered system comprising multiple energy storage battery systems; such as... Figure 3 As shown, the device includes:

[0111] The first determining module 10 is used to determine the battery type and operating time of the corresponding battery in each energy storage battery system.

[0112] The second determining module 11 is used to determine the target battery parameters that are compatible with each energy storage battery system according to each battery type.

[0113] The third determining module 12 is used to determine the DC clustering strategy of each energy storage battery system based on each runtime.

[0114] The control module 13 is used to control the DC-coupled operation of each energy storage battery system based on the target battery parameters and the corresponding DC-coupled strategy.

[0115] In some embodiments, the first determining module 10 includes:

[0116] The reading module is used to read the corresponding microcontroller input / output ports through the battery management system after the battery management system is powered on and initialized, in order to obtain the corresponding battery signal values.

[0117] The first determination submodule is used to determine the battery type of the corresponding energy storage battery system based on the battery signal value.

[0118] In some embodiments, it also includes:

[0119] The configuration submodule is used to configure the battery parameters of the corresponding energy storage battery system according to the battery type.

[0120] The battery parameters include at least the nominal capacity, nominal energy, charging characteristic spectrum, discharging characteristic spectrum, voltage and temperature operating parameters, charging cut-off voltage, and discharging cut-off voltage.

[0121] In some embodiments, the second determining module 11 includes:

[0122] The first judgment submodule is used to determine whether the battery types are the same through the main energy storage battery system; if so, the first broadcast module is triggered; if not, the second determination submodule is triggered.

[0123] The first broadcast module is used to broadcast the non-battery hybrid system identifier through the main energy storage battery system;

[0124] The second determining submodule is used to generate target battery parameters based on the battery parameters of each energy storage battery system; wherein, the target charging feature spectrum and target discharging feature spectrum in the target battery parameters are the minimum charging feature spectrum and minimum discharging feature spectrum among the battery parameters of each energy storage battery system;

[0125] The second broadcast module is used to broadcast the battery model hybrid system identifier through the main energy storage battery system, and to broadcast the target charging characteristic spectrum and the target discharging characteristic spectrum.

[0126] In some embodiments, the third determining module 12 includes:

[0127] The third determination submodule is used to determine the target energy storage battery system with the smallest voltage value among the various energy storage battery systems through the main energy storage battery system, and to determine the difference in runtime between the target energy storage battery system and the runtime of the other energy storage battery systems.

[0128] The second judgment submodule is used to determine whether the difference in runtime of each operation is less than the threshold through the main energy storage battery system; if yes, the third broadcast module is triggered; if no, the fourth broadcast module is triggered.

[0129] The third broadcast module is used to broadcast a non-new / old hybrid sign via the main energy storage battery system;

[0130] The fourth broadcast module is used to broadcast the new and old hybridization signs through the main energy storage battery system;

[0131] The generation module is used to generate DC clustering strategies for each energy storage battery system based on the non-new / old mixed-parallel flag or the new / old mixed-parallel flag, as well as the corresponding battery state and voltage threshold.

[0132] In some embodiments, the generation module includes:

[0133] The third judgment submodule is used to obtain the battery status and initial voltage threshold of the energy storage battery system through the main energy storage battery system when the energy storage battery system is set to the non-new and old mixed-parallel flag, and to determine whether the battery status of the energy storage battery system is a non-fault state and whether the corresponding voltage value is less than the voltage threshold; if the battery status is a non-fault state and the corresponding voltage value is less than the voltage threshold, then the DC paralleling strategy of the energy storage battery system is determined to be DC paralleling allowed; if the battery status is a fault state and / or the corresponding voltage value is not less than the voltage threshold, then the DC paralleling strategy of the energy storage battery system is determined to be DC paralleling not allowed.

[0134] The fourth judgment submodule is used to determine the target voltage threshold based on the health status of the main energy storage battery system when the energy storage battery system is set to the new and old mixed-parallel flag, and to determine whether the battery status of the energy storage battery system is a non-fault state and whether the corresponding voltage value is less than the target voltage threshold. If the battery status is a non-fault state and the corresponding voltage value is less than the target voltage threshold, then the DC paralleling strategy of the energy storage battery system is determined to be DC paralleling allowed. If the battery status is a fault state and / or the corresponding voltage value is not less than the target voltage threshold, then the DC paralleling strategy of the energy storage battery system is determined to be DC paralleling not allowed.

[0135] In some embodiments, the control module 13 includes:

[0136] The first execution module is used to refuse to execute the DC clustering of the energy storage battery system when the DC clustering strategy of the energy storage battery system is not allowed to perform DC clustering.

[0137] The second execution module is used to execute the DC paralleling of the energy storage battery system when the DC paralleling strategy of the energy storage battery system is set to allow DC paralleling and is marked as a non-battery model hybrid system, and to control the operation of the energy storage battery system according to the corresponding battery parameters.

[0138] The third execution module is used to execute the DC paralleling of the energy storage battery system when the DC paralleling strategy of the energy storage battery system is set to allow DC paralleling and the battery model is set to the mixed paralleling system flag, and to control the operation of the energy storage battery system according to the target charging characteristic map and the target discharging characteristic map.

[0139] Since the embodiments of the apparatus and the embodiments of the method correspond to each other, please refer to the description of the embodiments of the method for the embodiments of the apparatus, which will not be repeated here.

[0140] Figure 4 This is a structural diagram of a clustering system provided in an embodiment of this application. Figure 4 As shown, the clustering system includes:

[0141] Memory 20 is used to store computer programs;

[0142] The processor 21 is used to execute a computer program to implement the steps of the energy storage battery system expansion method mentioned in the above embodiments.

[0143] The processor 21 may include one or more processing cores, such as a quad-core processor or an octa-core processor. The processor 21 may be implemented using at least one of the following hardware forms: Digital Signal Processor (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 21 may also include a main processor and a coprocessor. The main processor, also known as the Central Processing Unit (CPU), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, the processor 21 may integrate a Graphics Processing Unit (GPU), which is responsible for rendering and drawing the content to be displayed on the screen. In some embodiments, the processor 21 may also include an Artificial Intelligence (AI) processor, which handles computational operations related to machine learning.

[0144] The memory 20 may include one or more computer-readable storage media, which may be non-transitory. The memory 20 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory devices. In this embodiment, the memory 20 is used to store at least the following computer program 201, which, after being loaded and executed by the processor 21, can implement the relevant steps of the energy storage battery system expansion method disclosed in any of the foregoing embodiments. In addition, the resources stored in the memory 20 may also include an operating system 202 and data 203, and the storage method may be temporary or permanent storage. The operating system 202 may include Windows, Unix, Linux, etc. The data 203 may include, but is not limited to, the data involved in the energy storage battery system expansion method.

[0145] In some embodiments, the clustering system may further include a display screen 22, an input / output interface 23, a communication interface 24, a power supply 25, and a communication bus 26.

[0146] Those skilled in the art will understand that Figure 4 The structures shown do not constitute a limitation on clustered systems and may include more or fewer components than illustrated.

[0147] Finally, this application also provides an embodiment corresponding to a computer-readable storage medium. The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps described in the above method embodiments.

[0148] It is understood that if the methods in the above embodiments are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and executes all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0149] The above provides a detailed description of the capacity expansion method, apparatus, clustering system, and medium for an energy storage battery system provided in this application. The various embodiments in the specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section. It should be noted that those skilled in the art can make several improvements and modifications to this application without departing from the principles of this application, and these improvements and modifications also fall within the protection scope of this application.

[0150] It should also be noted that, in this specification, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

Claims

1. A method for expanding the capacity of an energy storage battery system, characterized in that, The application is applied to a cluster system comprising a plurality of energy storage battery systems; the method comprises: determining the battery type and the running time of each battery corresponding to each energy storage battery system; determining the target battery parameters suitable for each energy storage battery system according to each battery type; determining the direct current clustering strategy of each energy storage battery system according to each running time; controlling the direct current clustering operation of each energy storage battery system based on the target battery parameters and the corresponding direct current clustering strategy.

2. The method of claim 1, wherein, determining the battery type of each battery corresponding to each energy storage battery system comprises: after the power-on initialization of the battery management system, reading the corresponding microcontroller input / output port through the battery management system to obtain the corresponding battery signal value; determining the battery type of the corresponding energy storage battery system according to the battery signal value.

3. The method of claim 2, wherein the energy storage battery system is a lithium-ion battery system. after determining the battery type of the corresponding energy storage battery system according to the battery signal value, further comprising: configuring the battery parameters of the corresponding energy storage battery system according to the battery type; wherein the battery parameters at least include nominal capacity, nominal energy, charging characteristic map, discharging characteristic map, voltage temperature use parameter, charging cutoff voltage and discharging cutoff voltage.

4. The method of claim 3, wherein the energy storage battery system is a lithium-ion battery system. determining the target battery parameters suitable for each energy storage battery system according to each battery type comprises: judging whether each battery type is the same through the main energy storage battery system; if yes, broadcasting the non-battery model mixed system flag through the main energy storage battery system; if no, generating the target battery parameters according to the battery parameters of each energy storage battery system; wherein the target charging characteristic map and the target discharging characteristic map in the target battery parameters are the minimum charging characteristic map and the minimum discharging characteristic map in the battery parameters of each energy storage battery system; broadcasting the battery model mixed system flag and the target charging characteristic map and the target discharging characteristic map through the main energy storage battery system.

5. The method of claim 4, wherein the energy storage battery system is a lithium-ion battery system. determining the direct current clustering strategy of each energy storage battery system according to each running time comprises: determining the target energy storage battery system with the minimum voltage value in each energy storage battery system through the main energy storage battery system, and respectively determining the running time difference value between the running time of the target energy storage battery system and the running time of the remaining energy storage battery systems; judging whether each running time difference value is less than a threshold value through the main energy storage battery system; if yes, broadcasting the non-new and old mixed flag through the main energy storage battery system; if no, broadcasting the new and old mixed flag through the main energy storage battery system; generating the direct current clustering strategy of each energy storage battery system according to the non-new and old mixed flag or the new and old mixed flag, and the corresponding battery state and voltage threshold value.

6. The method of claim 5, wherein, generating the direct current clustering strategy of each energy storage battery system according to the non-new and old mixed flag or the new and old mixed flag, and the corresponding battery state and voltage threshold value, comprises: When the energy storage battery system is set as the non-new-old mixed flag, the battery state and the initial configured voltage threshold of the energy storage battery system are acquired by the main energy storage battery system, and it is determined whether the battery state of the energy storage battery system is a non-fault state and whether the corresponding voltage value is less than the voltage threshold; If the battery state is a non-fault state and the corresponding voltage value is less than the voltage threshold, it is determined that the direct current clustering strategy of the energy storage battery system is allowed direct current clustering; If the battery state is a fault state and / or the corresponding voltage value is not less than the voltage threshold, it is determined that the direct current clustering strategy of the energy storage battery system is not allowed direct current clustering; When the energy storage battery system is set as the new-old mixed flag, the target voltage threshold is determined according to the health state of the energy storage battery system by the main energy storage battery system, and it is determined whether the battery state of the energy storage battery system is a non-fault state and whether the corresponding voltage value is less than the target voltage threshold; If the battery state is a non-fault state and the corresponding voltage value is less than the target voltage threshold, it is determined that the direct current clustering strategy of the energy storage battery system is allowed direct current clustering; If the battery state is a fault state and / or the corresponding voltage value is not less than the target voltage threshold, it is determined that the direct current clustering strategy of the energy storage battery system is not allowed direct current clustering.

7. The method of claim 6, wherein the energy storage battery system is a lithium-ion battery system. Based on the target battery parameters and the corresponding direct current clustering strategy, the direct current clustering operation of each energy storage battery system is controlled, including: When the direct current clustering strategy of the energy storage battery system is not allowed direct current clustering, the direct current clustering of the energy storage battery system is refused to be executed; When the direct current clustering strategy of the energy storage battery system is allowed direct current clustering and is set as the non-battery model mixed system flag, the direct current clustering of the energy storage battery system is executed, and the energy storage battery system is controlled to operate according to the corresponding battery parameters; When the direct current clustering strategy of the energy storage battery system is allowed direct current clustering and is set as the battery model mixed system flag, the direct current clustering of the energy storage battery system is executed, and the energy storage battery system is controlled to operate according to the target charging characteristic map and the target discharging characteristic map.

8. An energy storage battery system expansion device, comprising: The application is applied to a clustering system comprising a plurality of energy storage battery systems; the device comprises: A first determination module is configured to determine the battery type and operation time of the corresponding battery of each energy storage battery system; A second determination module is configured to determine the target battery parameters adapted to each energy storage battery system according to each battery type; A third determination module is configured to determine the direct current clustering strategy of each energy storage battery system according to each operation time; A control module is configured to control the direct current clustering operation of each energy storage battery system based on the target battery parameters and the corresponding direct current clustering strategy.

9. A pincushion system characterized by, It comprises: A memory is configured to store a computer program; A processor is configured to execute the computer program to realize the steps of the capacity expansion method of the energy storage battery system according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program is executed by the processor to implement the steps of the capacity expansion method of the energy storage battery system according to any one of claims 1 to 7.

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