CN117937692A - Method for optimizing battery energy storage system, battery energy storage system and controller - Google Patents
Method for optimizing battery energy storage system, battery energy storage system and controller Download PDFInfo
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Abstract
The invention provides a method for optimizing a battery energy storage system, the battery energy storage system and a controller, wherein the battery energy storage system comprises the controller and a plurality of battery clusters connected in parallel, each battery cluster comprises a direct current-direct current converter and a plurality of battery packs connected in series, each battery pack comprises a plurality of battery modules, and each battery module comprises a plurality of battery cores connected in series, and the method is characterized by further comprising at least one shared redundant battery pack, and the method is used for the controller and comprises the following steps: detecting a fault state of each battery pack in each battery cluster; and if the first battery pack in the first battery cluster is detected to be faulty, one battery pack in the at least one shared redundant battery pack is connected into the first battery cluster. According to the technical scheme provided by the invention, the capacity utilization rate of the battery can be improved.
Description
Technical Field
The invention relates to the technical field of battery energy storage, in particular to a method for optimizing a battery energy storage system, the battery energy storage system and a controller.
Background
The battery energy storage system comprises a plurality of battery modules. The battery module is characterized in that a plurality of battery cells are connected in series and parallel to form a module, and the module is matched with a relevant connection row and provided with an anode and a cathode. The battery module design needs to meet the use requirement of the battery core and the operation working condition of the energy storage system, and the requirements of full life cycle such as production, transportation, hoisting, use, operation and maintenance, scrapping and the like are included. Compared with a conventional power supply, the battery module of the battery energy storage system has the advantages of small capacity, large quantity, distributed points and obvious intermittent, fluctuation and randomness characteristics of a new energy power generation single machine in a relatively static environment. And has relatively stable operating conditions and predictability. In the process of developing and utilizing new energy sources on a large scale, the development of battery energy storage systems is a necessary trend.
The parameter that directly embodies the power generation performance of the energy storage system is the available capacity of the energy storage system. The battery utilization rate is low in the whole life cycle, the capacity mismatch of the energy storage system causes the poor charging and discharging capacity of 'insufficient charging and discharging', and the battery is a main pain point in the current energy storage industry. When the batteries are connected in series to form a group, the available capacity of the batteries on the series link can only reach the capacity of the weakest battery module, and the series mismatch of the battery modules is generated, so that the capacities of other batteries can not be fully utilized. When a plurality of battery clusters are connected in parallel, the available capacity of the battery clusters on the parallel link can only reach the capacity of the weakest battery cluster, and the parallel mismatch of the battery clusters is generated, so that the capacities of other parallel battery clusters can not be fully utilized.
When one battery module in a single cluster battery fails, the system has no module balancing function, so that the system must be manually started up to manually balance the SOC of the battery. The operation and maintenance work of a large number of power stations requires professional operation and maintenance personnel, so that the operation and maintenance are not in time and the operation and maintenance cost is high, and the overall income of the power stations is reduced.
Therefore, there is a need for a method of optimizing a battery energy storage system to increase battery capacity utilization.
Disclosure of Invention
The invention aims to provide a method for optimizing a battery energy storage system, the battery energy storage system and a controller, and the capacity utilization rate of a battery is improved.
According to an aspect of the present invention, there is provided a method of optimizing a battery energy storage system including a controller and a battery cluster unit including a plurality of battery clusters connected in parallel, each battery cluster including a dc-dc converter and a plurality of battery packs connected in series, each battery pack including a plurality of battery modules, each battery module including a plurality of cells connected in series, the battery energy storage system further including at least one shared redundant battery pack, the method for the controller, the method comprising:
Detecting the working state of each battery pack in each battery cluster;
And if the first battery pack in the first battery cluster is detected to be faulty, one battery pack in the at least one shared redundant battery pack is connected into the first battery cluster.
According to some embodiments, the method further comprises:
If the number of failed battery packs is greater than the number of shared redundant battery packs, then the partial normal battery packs are bypassed to equalize the battery clusters in parallel.
According to some embodiments, the method further comprises:
if the number of failed battery packs in a first battery cluster is greater than the number of shared redundant battery packs, disconnecting the first battery cluster from the battery energy storage system.
According to some embodiments, the method further comprises:
And disconnecting the first battery cluster from the battery energy storage system if the number of the fault battery packs is greater than the number of the shared redundant battery packs and the number of the fault battery packs in the first battery cluster is greater than the number of the fault battery packs in any other battery cluster.
According to some embodiments, the method further comprises:
If the number of failed battery packs in the remaining battery clusters is still greater than the number of shared redundant battery packs, then the partial normal battery packs are bypassed so that the remaining battery clusters are equalized in parallel.
According to some embodiments, detecting an operational state of each battery pack in each battery cluster includes:
determining an operation parameter standard value of a battery pack in the current operation state according to the current operation state of the energy storage system;
and comparing the operation parameter standard value with the actual operation parameter of the battery pack, and determining that the battery pack is in a fault state when the difference value of the operation parameter standard value and the actual operation parameter of the battery pack is larger than a preset threshold value.
According to some embodiments, detecting an operational state of each battery pack in each battery cluster includes:
And if the battery pack is in a charging state, determining whether the battery pack is in a fault state according to the difference between the charging curve of the battery pack and the standard charging curve.
According to an aspect of the present invention, there is provided a battery energy storage system including:
A controller;
The battery cluster unit comprises a plurality of battery clusters connected in parallel, wherein each battery cluster comprises a direct current-direct current converter and a plurality of battery packs connected in series, each battery pack comprises a plurality of battery modules, and each battery module comprises a plurality of battery cores connected in series;
at least one shared redundant battery pack;
wherein the controller is configured to:
Detecting the working state of each battery pack in each battery cluster;
And if the first battery pack in the first battery cluster is detected to be faulty, one battery pack in the at least one shared redundant battery pack is connected into the first battery cluster.
According to some embodiments, the controller is implemented by a field programmable gate array or an integrated circuit chip.
According to an aspect of the present invention, there is provided a controller comprising:
A processor; and
A memory storing a computer program which, when executed by the processor, causes the processor to perform the method of any one of the preceding claims.
According to the embodiment of the invention, the controller detects the fault state of each battery pack in each battery cluster, and when the fault battery pack is detected, the energy storage system is controlled to be connected into the shared redundant battery pack to replace the fault battery pack, so that the battery energy storage system can realize battery capacity equalization, the parallel mismatch of the battery clusters is avoided, and the capacities of other parallel battery clusters can be fully utilized.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention as claimed.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the description of the embodiments will be briefly described below.
Fig. 1 shows a method and apparatus schematic diagram for optimizing a battery energy storage system according to an example embodiment.
FIG. 2 illustrates a flowchart of a method of optimizing a battery energy storage system, according to an example embodiment.
FIG. 3 illustrates a flowchart of detecting a battery cluster operational state in a method of optimizing a battery energy storage system according to an example embodiment.
Fig. 4 illustrates a schematic diagram of a battery energy storage system device according to an example embodiment.
FIG. 5 illustrates a block diagram of a computing device in accordance with an exemplary embodiment.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments can be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the invention. One skilled in the relevant art will recognize, however, that the invention may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the invention.
The block diagrams depicted in the figures are merely functional entities and do not necessarily correspond to physically separate entities. That is, the functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The flow diagrams depicted in the figures are exemplary only, and do not necessarily include all of the elements and operations/steps, nor must they be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.
It will be understood that, although the terms first, second, third, etc. may be used herein to describe various components, these components should not be limited by these terms. These terms are used to distinguish one element from another element. Accordingly, a first component discussed below could be termed a second component without departing from the teachings of the present inventive concept. As used herein, the term "and/or" includes any one of the associated listed items and all combinations of one or more.
The user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present invention are information and data authorized by the user or fully authorized by each party, and the collection, use and processing of related data is required to comply with the relevant laws and regulations and standards of the relevant country and region, and is provided with corresponding operation entries for the user to select authorization or rejection.
Those skilled in the art will appreciate that the drawings are schematic representations of example embodiments and that the modules or flows in the drawings are not necessarily required to practice the invention and therefore should not be taken to limit the scope of the invention.
The battery module is characterized in that a plurality of battery cells are connected in series and parallel to form a module, and the module is matched with a relevant connection row and provided with an anode and a cathode. The battery module design needs to meet the use requirement of the battery core and the operation working condition of the energy storage system, and the requirements of full life cycle such as production, transportation, hoisting, use, operation and maintenance, scrapping and the like are included. Compared with a conventional power supply, the battery module of the battery energy storage system has the advantages of small capacity, large quantity, distributed points and obvious intermittent, fluctuation and randomness characteristics of a new energy power generation single machine in a relatively static environment. And has relatively stable operating conditions and predictability. In the process of developing and utilizing new energy sources on a large scale, the development of battery energy storage systems is a necessary trend.
The parameter that directly embodies the power generation performance of the energy storage system is the available capacity of the energy storage system. The battery utilization rate is low in the whole life cycle, the capacity mismatch of the energy storage system causes the poor charging and discharging capacity of 'insufficient charging and discharging', and the battery is a main pain point in the current energy storage industry.
When the batteries are connected in series to form a group, the available capacity of the batteries on the series link can only reach the capacity of the weakest battery module, and the series mismatch of the battery modules is generated, so that the capacities of other batteries can not be fully utilized. When a plurality of battery clusters are connected in parallel, the available capacity of the battery clusters on the parallel link can only reach the capacity of the weakest battery cluster, and the parallel mismatch of the battery clusters is generated, so that the capacities of other parallel battery clusters can not be fully utilized. When one battery module in a single cluster battery fails, the system has no module balancing function, so that the system must be manually started up to manually balance the SOC of the battery. The operation and maintenance work of a large number of power stations requires professional operation and maintenance personnel, so that the operation and maintenance are not in time and the operation and maintenance cost is high, and the overall income of the power stations is reduced.
Therefore, the invention provides a method for optimizing the battery energy storage system, and the utilization rate of the battery capacity is improved. According to the embodiment, the controller detects the fault state of each battery pack in each battery cluster, and when the fault battery pack is detected, the energy storage system is controlled to be connected into the shared redundant battery pack to replace the fault battery pack, so that the battery energy storage system can realize battery capacity balance, the parallel mismatch of the battery clusters is avoided, and the capacities of other parallel battery clusters can be fully utilized.
Before describing embodiments of the present invention, some terms or concepts related to the embodiments of the present invention are explained.
BCU, battery Control Unit (battery management system), is the core component in the battery pack responsible for monitoring and managing the operating state of the battery pack. In an electric automobile or an energy storage system, a BCU monitors key parameters such as voltage, current, temperature and the like of each battery unit in real time, and processes the data through a complex algorithm so as to ensure safe, stable and efficient operation of the battery system.
An FPGA (Field-Programmable GATE ARRAY) is a Programmable logic device with a high degree of flexibility. By configuring internal logic units, memory resources, and I/O interfaces, complex control algorithms and data processing flows can be quickly customized and implemented for specific application requirements.
An ASIC (Application-SPECIFIC INTEGRATED Circuit) is an integrated Circuit specifically designed and manufactured for a particular Application, whose Circuit structure and function cannot be altered once the design is completed and manufactured.
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings.
FIG. 1 illustrates a schematic diagram of an optimized battery energy storage system according to an example embodiment.
Referring to fig. 1, the battery energy storage system includes a controller 01 and a battery cluster unit 02, where the battery cluster unit includes a plurality of battery clusters connected in parallel, where each battery cluster includes a dc-dc converter and a plurality of battery packs connected in series, each battery pack includes a plurality of battery modules, each battery module includes a plurality of battery cells connected in series, and the battery energy storage system further includes at least one shared redundant battery pack 03.
According to some embodiments, the battery energy storage system comprises a controller 01, wherein the controller 01 is used as a center of the whole battery energy storage system and is responsible for comprehensively monitoring and managing the system. The intelligent control system can acquire the working state information (such as voltage, current, temperature and the like) of each battery cluster, each battery pack and each battery module in real time, and intelligently control according to the information, so as to realize the functions of charge and discharge management, balanced control, thermal management, fault diagnosis and the like, ensure the safe and stable operation of the system and prolong the service life of the battery.
According to some embodiments, the battery energy storage system includes a battery cluster unit, the battery cluster unit includes a plurality of battery clusters connected in parallel, each battery cluster is connected in parallel, and such a connection manner can provide a larger output current, thereby meeting a high power requirement and effectively improving the output capability and dynamic response performance of the system.
According to some embodiments, each battery cluster includes a dc/dc converter for regulating the dc voltage output by the battery cluster to accommodate load demands or to effectively interact with the grid while simultaneously converting and boosting the voltage of the battery during charging to more efficiently charge the battery.
According to some embodiments, the battery energy storage system further includes at least one shared redundant battery pack 03, and the shared redundant battery pack 03 does not participate in the conventional charge and discharge operation during normal operation, and is only used as a standby battery pack to be connected into the battery energy storage system when the controller 01 detects that a certain battery pack fails or has reduced performance, so as to ensure that the whole energy storage system continuously provides power service. The battery capacity balance is realized, the parallel mismatch of the battery clusters is avoided, and the capacities of other parallel battery clusters can be fully utilized.
According to some embodiments, the controller 01 distributes charge and discharge tasks to the shared redundant battery packs 03, so that the health states and the cycle times of all the battery packs can be balanced, and the service life of the whole energy storage system can be prolonged. In extreme cases, such as sudden high load demand, grid fluctuations, or other emergency situations, the controller 01 can control the shared redundant battery pack 03 to quickly respond to access, provide additional energy support, and keep the system running stably.
FIG. 2 illustrates a flowchart of a method of optimizing a battery energy storage system, according to an example embodiment.
Referring to fig. 2, a basic flow of a method of optimizing a battery energy storage system for use with the controller is shown in fig. 2, the method comprising:
in S201, an operation state of each battery pack in each battery cluster is detected.
According to some embodiments, in the battery energy storage system, the controller detects an operating state of each battery pack in each battery cluster. Upon detecting a failure or performance abnormality, such as voltage abnormality, excessive temperature, excessive internal resistance, etc., of a certain (e.g., first) battery pack in the first battery cluster, the controller will immediately initiate the relevant strategy.
At S203, when it is detected that the first battery pack in the first battery cluster fails, one battery pack of the at least one shared redundant battery pack is connected to the first battery cluster.
According to some embodiments, when a failure of a first battery pack in the first battery cluster is detected, the controller instructs at least one battery pack of the shared redundant battery packs to access the failed first battery cluster according to a preset controller configuration. The shared redundant battery pack is in a standby state before a replacement instruction is issued. And by fast switching, the fault battery pack is replaced, and the stable operation and continuous power supply capacity of the whole battery cluster and even the whole energy storage system are ensured.
If the number of failed battery packs is greater than the number of shared redundant battery packs, then the partial normal battery packs are bypassed to equalize the battery clusters in parallel.
According to some embodiments, if the number of failed battery packs exceeds the number of shared redundant battery packs, the controller will perform a bypass operation to maintain stable operation of the entire energy storage system according to the configuration, i.e., by means of the control circuit, selectively temporarily disconnecting portions of the normally operated battery packs from the battery clusters (these disconnected battery packs will typically be selected to be good in health and similar in performance), thereby achieving parallel balancing among the battery clusters, in that under severe operating conditions, voltage balance and current distribution among the battery clusters are maintained as uniform as possible, preventing the overall output capacity from being reduced or overload condition due to the failure of the battery packs. Meanwhile, precious time window is also strived for subsequent maintenance and replacement of the fault battery pack, and the whole battery energy storage system can still provide relatively stable power output service in the repairing process.
If the number of failed battery packs in a first battery cluster is greater than the number of shared redundant battery packs, disconnecting the first battery cluster from the battery energy storage system.
According to some embodiments, if the total number of failed battery packs exceeds the number of shared redundant battery packs in the battery energy storage system and the number of failed battery packs in the first battery cluster is significantly greater than the number of failed battery packs in any other battery cluster, the controller will take emergency action to preferentially disconnect the first battery cluster from the entire battery energy storage system.
According to some embodiments, if the number of faulty battery packs in a certain battery cluster is greater than the number of shared redundant battery packs, the controller may maintain the normal operation of the remaining battery clusters and the stable output of the overall system to the maximum extent by comparing the health status of each battery cluster with the battery cluster where the problem of priority isolation is most serious.
According to some embodiments, the first battery cluster is disconnected from the battery energy storage system, so that not only can the overall stable output of the energy storage system be realized, but also the power-off maintenance and recovery work of the first battery cluster can be realized at the first time, and the normal power supply capacity can be recovered as soon as possible.
And disconnecting the first battery cluster from the battery energy storage system if the number of the fault battery packs is greater than the number of the shared redundant battery packs and the number of the fault battery packs in the first battery cluster is greater than the number of the fault battery packs in any other battery cluster.
According to some embodiments, in the battery energy storage system, if the total number of failed battery packs exceeds the number of shared redundant battery packs and the number of failed battery packs in the first battery cluster is greater than the number of failed battery packs in any other battery cluster, the controller will take emergency action to preferentially disconnect the first battery cluster from the entire battery energy storage system. The controller is used for preferentially isolating the battery clusters with the most serious problem by comparing the health conditions of the battery clusters, so that the normal operation of the rest battery clusters and the stable output of the whole system can be maintained to the maximum extent. And the first battery cluster can be subjected to power-off maintenance and recovery work at the first time, so that the normal power supply capacity is recovered as soon as possible.
If the number of failed cells included in the remaining battery clusters is still greater than the number of shared redundant battery packs, then the partial normal battery packs are bypassed so that the remaining battery clusters are equalized in parallel.
According to some embodiments, after disconnecting the first battery cluster, if the number of faulty battery packs in the remaining battery clusters is still greater than the number of shared redundant battery packs, the controller may further take steps to selectively bypass a portion of the normally operating battery packs to ensure parallel balancing between the remaining battery clusters and safe and stable operation of the energy storage system.
According to some embodiments, the controller finds an optimal bypass scheme through an intelligent algorithm according to the health condition of each battery cluster and the distribution condition of the failed battery pack, so that all the remaining battery clusters keep balanced voltage and reasonable current distribution as much as possible, and overload or other potential risks caused by the failed battery pack are avoided. The configuration of the controller can maximally utilize available resources and maintain the overall performance and stability of the energy storage system.
According to some embodiments, the controller is configured to enable the energy storage system to timely cut off the electrical connection of the failed battery pack when the battery pack is detected to be failed, so that maintenance personnel strive for more time to repair the failed battery pack, and the full-capacity operation state of the whole battery energy storage system is gradually restored.
FIG. 3 illustrates a flowchart of detecting a battery cluster operational state in a method of optimizing a battery energy storage system according to an example embodiment.
Detecting the working state of each battery pack in each battery cluster comprises the following steps:
In S301, according to the current operation state of the energy storage system, an operation parameter standard value of the battery pack in the current operation state is determined.
According to some embodiments, in the battery energy storage system, the controller may determine a standard value of the battery pack operation parameter suitable for the current condition according to the current operation state of the system, such as temperature, load demand, charge-discharge cycle number, etc. Typically, these standard values may include key parameters such as battery pack voltage, current, internal resistance, temperature, and state of charge.
And S303, comparing the operation parameter standard value with the actual operation parameter of the battery pack, and determining that the battery pack is in a fault state when the difference value of the operation parameter standard value and the actual operation parameter of the battery pack is larger than a preset threshold value.
According to some embodiments, the controller continuously collects actual operating parameters of each battery pack and compares the actual parameters with set standard values in real time. When the difference between the actual operation parameter of a certain battery pack and the corresponding standard value is larger than a preset threshold value, the system judges that the battery pack is likely to have faults or abnormal performance. The comparison judging method can realize timely finding possible problems of the battery pack at early stage, and is favorable for taking measures in advance to intervene or replace, so that the safe and stable operation of the whole battery energy storage system is ensured, the service life of the battery is prolonged, and the problem of chain reaction or system performance reduction caused by single battery pack faults is effectively avoided.
Detecting the working state of each battery pack in each battery cluster comprises the following steps:
And if the battery pack is in a charging state, determining whether the battery pack is in a fault state according to the difference between the charging curve of the battery pack and the standard charging curve.
According to some embodiments, in the battery energy storage system, if the battery pack is in a charging state, the controller monitors and records data of time-varying parameters such as voltage, current and the like in the charging process, so as to generate an actual charging curve. And then comparing and analyzing the actual charging curve with a preset standard charging curve.
According to some embodiments, the standard charge curve is generally established based on the design performance of the battery and the expected behavior under normal operating conditions, depicting the voltage, current and temperature trends that the battery should have from empty to fully charged.
According to some embodiments, if the actual charging curve differs significantly from the standard charging curve, for example: abnormal charging rate (too fast or too slow), low or high voltage in the platform stage, early or delayed arrival of the charging termination voltage, unexpected voltage drop or rise in the charging process, abnormal temperature exceeding a safety range or a temperature rise curve and the like, which all indicate that the corresponding battery pack has a fault or performance reduction problem. The controller determines whether the battery pack is in a fault state by comparing the differences and judging whether a predetermined threshold is exceeded.
According to some embodiments, when the controller determines that the battery pack is malfunctioning, the controller will employ the methods described above to control, such as performing bypass, enabling shared redundant battery packs, and simultaneously raising an alarm to notify maintenance personnel of the process.
Fig. 4 illustrates a schematic diagram of a battery energy storage system device according to an example embodiment.
Referring to fig. 4, there is shown a battery energy storage system comprising:
A controller 01; a battery cluster unit 02, which includes a plurality of battery clusters connected in parallel, wherein each battery cluster includes a dc-dc converter and a plurality of battery packs connected in series, each battery pack includes a plurality of battery modules, and each battery module includes a plurality of battery cells connected in series; at least one shared redundant battery pack 03.
According to some embodiments, the battery energy storage system includes a controller 01. During the charge and discharge process, each battery pack in the cluster is independently controlled by the controller 01. In the normal charging process, S1 is closed, and S2 is opened. When one battery pack reaches a set threshold, the BCU performs independent control on the battery pack, S2 is closed, S1 is opened, battery pack bypass is realized, and other battery packs in the battery cluster can continue to charge and discharge.
According to some embodiments, as shown, the battery energy storage system comprises a battery cluster unit 02 comprising a plurality of battery clusters connected in parallel, wherein each battery cluster comprises a dc-dc converter and a plurality of battery packs connected in series, each battery pack comprises a plurality of battery modules, each battery module comprises a plurality of cells connected in series.
According to some embodiments, the working voltage range of the dc-dc converter is as low as 40V, and even if only one battery pack in the final battery cluster works, the battery cluster can still work normally, so that each battery pack can reach the required charge and discharge depth, and the battery capacity is utilized to the maximum extent.
Wherein the controller 01 is configured to:
Detecting the working state of each battery pack in each battery cluster;
And if the first battery pack in the first battery cluster is detected to be faulty, one battery pack in the at least one shared redundant battery pack is connected into the first battery cluster.
According to some embodiments, the controller 01 detects an operation state of each battery pack in each battery cluster, and if a first battery pack in a first battery cluster is detected to be faulty, one battery pack in the at least one shared redundant battery pack is connected to the first battery cluster. And monitoring the state of each battery pack in each battery cluster in real time. When a failure of a certain (e.g., first) battery pack in the first battery cluster is detected, the controller automatically executes the redundancy replacement strategy as described above, or automatically bypasses the failed battery pack, without affecting the normal operation of other battery packs. Or one battery pack in at least one shared redundant battery pack is connected to the first battery cluster with faults so as to ensure continuous and stable operation of the energy storage system, so that the battery energy storage system has high intelligence, fault self-adaption capability and high reliability, and can be switched to redundant resources rapidly when a single or partial battery pack has faults, and normal operation of the whole system is maintained.
The controller 01 is realized by an FPGA or an ASIC chip.
According to some embodiments, the controller 01 is implemented by an FPGA or ASIC chip. In the battery energy storage system, the FPGA can be used for monitoring the states of all battery clusters in real time, executing tasks such as charging management, balance control, fault diagnosis, protection strategy and the like, and updating and optimizing hardware logic according to requirements. And ASIC can provide high performance, low power consumption and cost optimized solution, especially suitable for large-scale production and long-term steady operation's application scenario. The ASIC chip can be customized according to the characteristics of the battery management system, and the battery state monitoring and control functions with high efficiency and extremely high accuracy are realized. The user can flexibly select the implementation mode of the controller 01 according to different practical application scenes.
According to some embodiments, in the scheme of the invention, the controller detects the fault state of each battery pack in each battery cluster, and when the fault battery pack is detected, the energy storage system is controlled to be connected into the shared redundant battery pack to replace the fault battery pack, so that the battery energy storage system can realize battery capacity equalization, the parallel mismatch of the battery clusters is avoided, and the capacities of other parallel battery clusters can be fully utilized.
According to some embodiments, in the solution of the present invention, the controller detects the working state of each battery pack in each battery cluster, when a plurality of battery packs fail, and the number of failed battery packs is greater than the number of shared redundant battery packs, at this time, under the control of the controller, the controller disconnects the battery packs with more failed battery packs, if the number of failed battery packs in the remaining battery packs is still greater than the number of shared redundant battery packs, the remaining battery packs in the bypass part battery packs are balanced in parallel, so that the normal operation of the remaining battery packs and the stable output of the overall system can be maintained to the maximum extent in such a configuration mode. And the power-off maintenance and recovery work can be carried out on the fault battery cluster at the first time, so that the normal power supply capacity can be recovered as soon as possible.
FIG. 5 illustrates a block diagram of a computing device according to an example embodiment of the invention.
As shown in fig. 5, computing device 30 includes processor 12 and memory 14. Computing device 30 may also include a bus 22, a network interface 16, and an I/O interface 18. The processor 12, memory 14, network interface 16, and I/O interface 18 may communicate with each other via a bus 22.
The processor 12 may include one or more general purpose CPUs (Central Processing Unit, processors), microprocessors, or application specific integrated circuits, etc. for executing associated program instructions. According to some embodiments, computing device 30 may also include a high performance display adapter (GPU) 20 that accelerates processor 12.
Memory 14 may include machine-system-readable media in the form of volatile memory, such as Random Access Memory (RAM), read Only Memory (ROM), and/or cache memory. Memory 14 is used to store one or more programs including instructions as well as data. The processor 12 may read instructions stored in the memory 14 to perform the methods according to embodiments of the invention described above.
Computing device 30 may also communicate with one or more networks through network interface 16. The network interface 16 may be a wireless network interface.
Bus 22 may be a bus including an address bus, a data bus, a control bus, etc. Bus 22 provides a path for exchanging information between the components.
It should be noted that, in the implementation, the computing device 30 may further include other components necessary to achieve normal operation. Furthermore, it will be understood by those skilled in the art that the above-described apparatus may include only the components necessary to implement the embodiments of the present description, and not all the components shown in the drawings.
The present invention also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the above method. The computer readable storage medium may include, but is not limited to, any type of disk including floppy disks, optical disks, DVDs, CD-ROMs, micro-drives, and magneto-optical disks, ROM, RAM, EPROM, EEPROM, DRAM, VRAM, flash memory devices, magnetic or optical cards, nanosystems (including molecular memory ICs), network storage devices, cloud storage devices, or any type of media or device suitable for storing instructions and/or data.
Embodiments of the present invention also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform part or all of the steps of any one of the methods described in the method embodiments above.
It will be clear to a person skilled in the art that the solution according to the invention can be implemented by means of software and/or hardware. "Unit" and "module" in this specification refer to software and/or hardware capable of performing a specific function, either alone or in combination with other components, where the hardware may be, for example, a field programmable gate array, an integrated circuit, or the like.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present invention is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present invention. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present invention.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, such as a division of units, merely a division of logic functions, and there may be additional divisions in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some service interface, device or unit indirect coupling or communication connection, electrical or otherwise.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in whole or in part in the form of a software product stored in a memory, comprising several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method of the various embodiments of the present invention.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
The exemplary embodiments of the present invention have been particularly shown and described above. It is to be understood that this invention is not limited to the precise arrangements, instrumentalities and instrumentalities described herein; on the contrary, the invention is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (10)
1. A method of optimizing a battery energy storage system comprising a controller and a battery cluster unit containing a plurality of battery clusters connected in parallel, each battery cluster comprising a dc-dc converter and a plurality of battery packs connected in series, each battery pack comprising a plurality of battery modules, each battery module comprising a plurality of cells connected in series, characterized in that the battery energy storage system further comprises at least one shared redundant battery pack, the method for the controller comprising:
Detecting the working state of each battery pack in each battery cluster;
And if the first battery pack in the first battery cluster is detected to be faulty, one battery pack in the at least one shared redundant battery pack is connected into the first battery cluster.
2. The method as recited in claim 1, further comprising:
If the number of failed battery packs is greater than the number of shared redundant battery packs, then the partial normal battery packs are bypassed to equalize the battery clusters in parallel.
3. The method as recited in claim 1, further comprising:
if the number of failed battery packs in a first battery cluster is greater than the number of shared redundant battery packs, disconnecting the first battery cluster from the battery energy storage system.
4. The method as recited in claim 1, further comprising:
And disconnecting the first battery cluster from the battery energy storage system if the number of the fault battery packs is greater than the number of the shared redundant battery packs and the number of the fault battery packs in the first battery cluster is greater than the number of the fault battery packs in any other battery cluster.
5. The method as recited in claim 4, further comprising:
If the number of failed battery packs in the remaining battery clusters is still greater than the number of shared redundant battery packs, then the partial normal battery packs are bypassed so that the remaining battery clusters are equalized in parallel.
6. The method of claim 1, wherein detecting the operating status of each battery pack in each battery cluster comprises:
determining an operation parameter standard value of a battery pack in the current operation state according to the current operation state of the energy storage system;
and comparing the operation parameter standard value with the actual operation parameter of the battery pack, and determining that the battery pack is in a fault state when the difference value of the operation parameter standard value and the actual operation parameter of the battery pack is larger than a preset threshold value.
7. The method of claim 6, wherein detecting the operating status of each battery pack in each battery cluster comprises:
And if the battery pack is in a charging state, determining whether the battery pack is in a fault state according to the difference between the charging curve of the battery pack and the standard charging curve.
8. A battery energy storage system, the battery energy storage system comprising:
A controller;
The battery cluster unit comprises a plurality of battery clusters connected in parallel, wherein each battery cluster comprises a direct current-direct current converter and a plurality of battery packs connected in series, each battery pack comprises a plurality of battery modules, and each battery module comprises a plurality of battery cores connected in series;
at least one shared redundant battery pack;
wherein the controller is configured to:
Detecting the working state of each battery pack in each battery cluster;
And if the first battery pack in the first battery cluster is detected to be faulty, one battery pack in the at least one shared redundant battery pack is connected into the first battery cluster.
9. The battery energy storage system of claim 1, wherein the controller is implemented by a field programmable gate array or an integrated circuit chip.
10. A controller, comprising:
A processor; and
A memory storing a computer program which, when executed by the processor, causes the processor to perform the method of any one of claims 1-7.
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