CN116247710A - Energy storage system early warning device and method, battery management system and energy storage system - Google Patents
Energy storage system early warning device and method, battery management system and energy storage system Download PDFInfo
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- CN116247710A CN116247710A CN202310286797.5A CN202310286797A CN116247710A CN 116247710 A CN116247710 A CN 116247710A CN 202310286797 A CN202310286797 A CN 202310286797A CN 116247710 A CN116247710 A CN 116247710A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00016—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using a wired telecommunication network or a data transmission bus
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/16—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by adjustment of reactive power
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
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- Engineering & Computer Science (AREA)
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- Human Computer Interaction (AREA)
- Computer Networks & Wireless Communication (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The application provides an energy storage system early warning device, an energy storage system early warning method, a battery management system and an energy storage system. The device is applied to a battery management system, and an energy storage system comprises the battery management system, a battery cluster and an energy storage converter; the device comprises: the data acquisition module and the data analysis module; the data acquisition module is used for acquiring voltage data and/or current data of the battery cluster and sending the voltage data and/or the current data to the data analysis module; the data analysis module is used for receiving early warning parameters set by the upper computer; and analyzing the voltage data and/or the current data according to the early warning parameters, and determining whether the electric energy transmission state between the energy storage converter and the battery cluster is abnormal. If the power transmission state is abnormal, early warning information is sent to the upper computer. The device of the application collects the voltage data and the current data of the battery cluster in real time during the formal operation of the energy storage system, realizes the real-time monitoring of the energy storage system, and improves the operation safety of the energy storage system.
Description
Technical Field
The application relates to the technical field of energy storage systems, in particular to an energy storage system early warning device, an energy storage system early warning method, a battery management system and an energy storage system.
Background
In an energy storage system, voltage, current and power are important indexes related to long-term safe and stable operation of the energy storage system, so that the monitoring of the voltage, the current and the power of the energy storage system is demanded.
An oscilloscope or a power analyzer is generally adopted to analyze and detect the power of the energy storage system. However, since the oscilloscope or the power analyzer usually measures the power of the energy storage system in a debugging stage or a commissioning stage, the power cannot be monitored during the formal operation of the energy storage system, resulting in lower operation safety of the energy storage system.
Disclosure of Invention
The application provides an energy storage system early warning device, an energy storage system early warning method, a battery management system and an energy storage system, which are used for solving the problem that the operation safety of the energy storage system is lower because the prior art cannot monitor the energy storage system in the formal operation period by using an oscilloscope or a power analyzer.
In a first aspect, the present application provides an energy storage system early warning device, applied to a battery management system, where the energy storage system includes a battery management system, a battery cluster and an energy storage converter; the battery management system is respectively connected with the energy storage converter and the battery cluster; the energy storage converter is also connected with a power grid and a battery cluster respectively; comprising the following steps: the data acquisition module and the data analysis module;
The data acquisition module is used for acquiring voltage data and/or current data of the battery cluster and sending the voltage data and/or the current data to the data analysis module;
the data analysis module is used for receiving early warning parameters set by the upper computer; analyzing the voltage data and/or the current data according to the early warning parameters, and determining whether the electric energy transmission state between the energy storage converter and the battery cluster is abnormal or not; if the power transmission state is abnormal, early warning information is sent to the upper computer.
In a second aspect, the present application provides an energy storage system early warning method, applied to a data analysis module, including:
receiving early warning parameters set by an upper computer;
acquiring voltage data and/or current data of a battery cluster;
analyzing the voltage data and/or the current data according to the early warning parameters, and determining whether the electric energy transmission state between the energy storage converter and the battery cluster is abnormal or not;
if the power transmission state is abnormal, early warning information is sent to the upper computer.
In a third aspect, the present application provides a battery management system comprising: the energy storage system pre-warning device of any one of the first aspects.
In a fourth aspect, the present application provides an energy storage system comprising: the battery management system, the battery cluster, the energy storage converter, the fuse and the host computer of the third aspect.
In a fifth aspect, the present application provides a data analysis apparatus comprising:
the receiving module is used for receiving the early warning parameters set by the upper computer;
the acquisition module is used for acquiring voltage data and/or current data of the battery management system;
the determining module is used for analyzing the voltage data and/or the current data according to the early warning parameters and determining whether the electric energy transmission state between the energy storage converter and the battery cluster is abnormal or not;
and the sending module is used for sending early warning information to the upper computer if the electric energy transmission state is abnormal.
In a sixth aspect, the present application provides a data analysis apparatus comprising: a processor, a memory, the memory storing code, the processor executing the code stored in the memory to perform the energy storage system pre-warning method as in the second aspect.
In a seventh aspect, the present application provides a computer-readable storage medium having stored therein computer-executable instructions that, when executed by a processor, are configured to implement the energy storage system pre-warning method of the second aspect.
In an eighth aspect, the present application provides a computer program product comprising a computer program which, when executed by a processor, implements the energy storage system pre-warning method of the second aspect.
The application provides an energy storage system early warning device, an energy storage system early warning method, a battery management system and an energy storage system. The data acquisition module can acquire voltage data and/or current data of the battery cluster and send the voltage data and/or the current data to the data analysis module. The data analysis module receives early warning parameters set by the upper computer, analyzes the voltage data and/or the current data according to the early warning parameters, and determines whether the electric energy transmission state between the energy storage converter and the battery cluster is abnormal or not. If the electric energy transmission state between the two is abnormal, early warning information is sent to the upper computer. The energy storage system early warning device can monitor whether the operation of the energy storage system is abnormal in real time, and improves the operation safety of the energy storage system.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
Fig. 1 is a schematic diagram of an early warning scenario of an energy storage system according to an embodiment of the present application;
fig. 2 is a schematic diagram of an early warning device of an energy storage system according to an embodiment of the present application;
Fig. 3 is a schematic diagram of a battery system architecture according to an embodiment of the present disclosure;
FIG. 4 is a flowchart of a method for determining whether a precharge resistor is abnormal according to an embodiment of the present application;
fig. 5 is a flowchart of a method for determining whether a power response speed of an energy storage converter is abnormal according to an embodiment of the present application;
FIG. 6 is a flowchart of an early warning method of an energy storage system according to an embodiment of the present disclosure;
fig. 7 is a schematic diagram of an energy storage system according to an embodiment of the present disclosure;
fig. 8 is a schematic diagram of a first data analysis device according to an embodiment of the present application;
fig. 9 is a schematic diagram two of a data analysis device according to an embodiment of the present application.
Specific embodiments thereof have been shown by way of example in the drawings and will herein be described in more detail. These drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.
It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or fully authorized by each party, and the collection, use and processing of the related data need to comply with the related laws and regulations and standards of the related country and region, and provide corresponding operation entries for the user to select authorization or rejection.
In order to ensure the normal operation of the energy storage system, the voltage, current and power of the energy storage system need to be monitored. The existing oscilloscope or power analyzer can be used for testing the power of the energy storage system in a debugging stage or a test operation stage, and cannot monitor the power during the formal operation of the energy storage system, so that the operation safety of the energy storage system is low. Meanwhile, in general, an oscilloscope or a power analyzer is large in size, so that the oscilloscope or the power analyzer is inconvenient to carry on the test site of the energy storage system, poor in portability and high in cost.
The utility model provides an energy storage system early warning device, the device is in the same place with battery management system integration, but the real-time acquisition battery cluster's voltage data and/or current data to monitor voltage data and/or current data according to the early warning parameter that the user set up, confirm whether the electric energy transmission state between energy storage converter and the battery cluster is unusual. If the abnormality occurs, early warning information is timely sent to a remote data terminal of an upper computer or a cloud end, so that a user is informed of timely processing, and the operation safety of the energy storage system is improved.
Fig. 1 is a schematic diagram of an early warning scenario of an energy storage system provided in an embodiment of the present application, as shown in fig. 1, an energy storage converter is connected with a power grid, and is further connected in series with a battery cluster through a fuse, so that conversion between alternating current and direct current can be performed. The fuse can also be called a fuse, and automatically blows when the circuit current exceeds a set threshold value, so that the circuit safety is improved. The energy storage system early warning device is located in the battery management system, can collect voltage data and/or current data of the battery cluster in real time, and monitors the voltage data and/or the current data according to early warning parameters of a remote data terminal of the upper computer or the cloud to determine whether the electric energy transmission state between the energy storage converter and the battery cluster is abnormal. If the electric energy transmission state is abnormal, early warning information is sent to a remote data terminal of an upper computer or a cloud end, so that the energy storage system is monitored in real time, and the operation safety of the energy storage system is improved.
The following describes the technical solution of the present application and how the technical solution of the present application solves the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 2 is a schematic diagram of an energy storage system early warning device according to an embodiment of the present application, and as shown in fig. 2, the energy storage system early warning device may include a data acquisition module 201 and a data analysis module 202.
The energy storage system early warning device can be applied to a battery management system and integrated with the battery management system. The energy storage system may include a battery management system, a battery cluster, and an energy storage converter. The battery management system is respectively connected with the energy storage converter and the battery cluster; the energy storage converter is also connected with the power grid and the battery cluster respectively.
The data acquisition module 201 is configured to acquire voltage data and/or current data of the battery cluster, and send the voltage data and/or current data to the data analysis module 202.
The data analysis module 202 is configured to receive an early warning parameter set by the upper computer; analyzing the voltage data and/or the current data according to the early warning parameters, and determining whether the electric energy transmission state between the energy storage converter and the battery cluster is abnormal or not; if the power transmission state is abnormal, early warning information is sent to the upper computer.
An energy storage converter (Power Conversion System, PCS) is also called a bidirectional energy storage inverter, and is a device for realizing energy conversion between a power grid and a battery cluster. In one implementation scenario, when the battery management system controls the energy storage converter to charge the battery cluster, the energy storage converter can convert alternating current of the power grid into direct current, the direct current is output to the battery cluster, and the battery cluster stores electric energy. In another implementation scenario, when the power grid does not have electric energy, the battery management system controls the battery cluster to discharge, the battery cluster outputs the stored electric energy to the energy storage converter, the energy storage converter converts direct current into alternating current, and the alternating current is output to the power grid or the load to supply power for the power grid or the load.
The battery, i.e. the cell, is the smallest energy storage unit, different types of batteries can store different energies, and battery types can include 271Ah, 92Ah, etc. The battery cluster consists of a plurality of battery plug boxes and a high-voltage box, and is the minimum system for energy storage. The battery plug box comprises one or more battery modules, and the battery modules comprise a plurality of batteries.
The battery management system (Battery Management System, BMS) is responsible for current collection, electric quantity estimation, collection of core information and the like, and control and protection strategies of the whole battery system are realized.
The upper computer may be a computer capable of directly issuing a manipulation command. In addition to the upper computer, the remote data terminal located at the cloud end can also set the early warning parameters, and send the early warning parameters to the data analysis module 202.
The data acquisition module 201 acquires voltage data and/or current data of the battery cluster, which may be acquired at a particular sampling frequency in one implementation scenario. The sampling frequency can also be set by the user through the host computer or the remote data terminal. Typically, to improve the accuracy of the acquired voltage and current data, the sampling frequency is typically set to a larger value within an allowable range, such as 10KHZ, i.e., 10K times the voltage and current data are acquired within 1S.
It should be noted that, the data acquisition module 201 acquires voltage data and/or current data of the battery cluster, and since the energy storage converter is connected with the battery cluster, the voltage of the battery cluster is also the voltage output by the energy storage converter, and the current of the battery cluster is also the current output by the energy storage converter.
The electric energy transmission state between the energy storage converter and the battery cluster comprises, but is not limited to, a current state between the energy storage converter and the battery cluster, a voltage state output by the energy storage converter, a power response speed of the energy storage converter, a state of active power and reactive power switching of the energy storage converter, a current state in a pre-charging process and the like.
The current state between the energy storage converter and the battery cluster may include whether the current is stable. For example, if the current energy storage converter works at the maximum charge and discharge capability of the battery cluster, the current jitter output by the energy storage converter may cause the over-current fault of the battery cluster. Similarly, the voltage state output by the energy storage converter includes whether the voltage is stable or not. For example, when the voltage output by the energy storage converter is unstable, it may affect whether there is a risk of overcharge or overdischarge of the battery cluster.
Accordingly, the user may set the current ripple threshold and the voltage ripple threshold through the host computer, and the data analysis module 202 may determine whether the current data is greater than the current ripple threshold and/or whether the voltage data is greater than the voltage ripple threshold. And if the current data is larger than the current fluctuation threshold value, determining that the current fluctuation output by the energy storage converter is abnormal, and/or if the voltage data is larger than the voltage fluctuation threshold value, determining that the voltage fluctuation output by the energy storage converter is abnormal.
The current state between the energy storage converter and the battery cluster may also include whether the current is greater than a maximum allowable current for the battery cluster. In one implementation scenario, the battery management system calculates the maximum allowable current of the battery cluster in real time and sends the maximum allowable current to the energy storage converter and data analysis module 202. Because the current output by the energy storage converter has a possibility of being greater than the maximum allowable current, such as the energy storage converter outputting a pulsed high current, the current is greater than the maximum allowable current, and damage to the battery cluster may be caused for a long time, the data analysis module 202 may monitor whether the current output by the battery management system is greater than the maximum allowable current.
The current state between the energy storage converter and the battery cluster can also comprise whether the current is larger than the current short-circuit threshold value of the battery cluster, and the early warning parameter of the current short-circuit threshold value can be set by a user through an upper computer. Because the energy storage system has the possibility of short circuit, when the energy storage system is short-circuited, the current is increased, and the energy storage system is damaged, so that whether the energy storage system is short-circuited or not needs to be monitored. Specifically, the data analysis module 202 may determine whether the current data is greater than a current short threshold; and if the current data is larger than the current short-circuit threshold value, determining that the energy storage system is short-circuited.
In some embodiments, the battery management system is further configured to send power switching instructions to the energy storage converter and the data analysis module 202, the instructions being configured to instruct the energy storage converter to switch between active power and reactive power. After receiving the power switching command sent by the battery management system, the data analysis module 202 determines the actual power of the energy storage converter according to the voltage data and the current data, and judges whether the actual power is greater than a power threshold. If the actual power is larger than the power threshold value, determining that the energy storage converter has abnormality in active power and reactive power conversion. The power switching instruction may include a reactive power switching instruction and an active power switching instruction, where the reactive power switching instruction is used to instruct the energy storage converter to switch from active power to reactive power, and the active power switching instruction is used to instruct the energy storage converter to switch from reactive power to active power. The power threshold includes a reactive power threshold and an active power threshold.
In one implementation scenario, when the power of the energy storage converter is limited to 0, a certain jitter occurs in the current output by the energy storage converter, so that the actual running power of the energy storage converter is greater than 0, or the rectification logic inside the energy storage converter fails, so that the power rises. If the battery cluster is already fully charged at this time, there is a risk of overcharging the battery cluster. If the battery cluster has no electric energy at this time, the battery cluster is in overdischarge risk, so that the switching of active power and reactive power of the energy storage converter needs to be monitored. Specifically, the data analysis module 202 may determine the actual power of the energy storage converter according to the voltage data and the current data, and determine whether the actual power is greater than the reactive power threshold. If the actual power is larger than the reactive power threshold, determining that the energy storage converter is abnormal when the active power is converted into the reactive power. The reactive power threshold value can be an early warning parameter set by a user through an upper computer.
In another implementation scenario, the battery management system sends an active power switching instruction to the energy storage converter and data analysis module 202, the instruction carrying an active power threshold. After receiving the active power switching command, the data analysis module 202 determines the actual power of the current energy storage converter according to the voltage data and the current data, and determines whether the actual power is greater than an active power threshold. If the actual power is larger than the active power threshold, determining that the energy storage converter is abnormal when the reactive power is converted into the active power. The active power threshold is the maximum power that the energy storage converter can be allowed to run under the control of the current battery management system, and can be determined by the battery management system or set by a user through an upper computer. When the actual power of the energy storage converter is larger than the maximum power allowed by the energy storage converter, certain damage is caused to the battery cluster.
In an implementation scenario, in addition to the data acquisition module 201 and the data analysis module 202, the energy storage system early warning device of the present application may further include: the local storage module 203 is configured to store data sent by the data analysis module 202 at a data storage frequency, where the data includes voltage data and/or current data within a first preset time before the power transmission state is abnormal to a second preset time after the power transmission state is abnormal. The data storage frequency can be set by a user through an upper computer or a remote data terminal located at the cloud end, and different data storage frequencies are set for different types of electric energy transmission states. For example, the data storage frequency may be 100 μs when the current state of the precharge process is abnormal. When the power response speed of the energy storage converter is abnormal, the data storage frequency can be 10mS. The data storage frequency is higher, the accuracy of the data can be improved, and the accuracy of analysis of the stored data by a user is further improved.
The upper computer or the remote data terminal located at the cloud can read the stored voltage data and current data in the local storage module 203, and data support is provided for the data, so that a user can determine a fault reason according to the voltage data and the current data, risk is reduced, and traceability is improved.
The embodiment of the application provides an energy storage system early warning device, which comprises a data acquisition module and a data analysis module. The data acquisition module can acquire voltage data and/or current data of the battery cluster and send the voltage data and/or the current data to the data analysis module. The data analysis module can receive early warning parameters set by the upper computer, analyze voltage data and/or current data according to the early warning parameters, and determine whether the electric energy transmission state between the energy storage converter and the battery cluster is abnormal or not. If the power transmission state is abnormal, early warning information is sent to the upper computer. The energy storage system early warning device and the battery management system are integrated together, and the electric energy transmission state between the battery cluster and the energy storage converter can be monitored in real time, so that the operation safety of the energy storage system is improved, and meanwhile, the energy storage system early warning device is integrated on the battery management system, and the cost is reduced.
Because the energy storage converter internally comprises a plurality of capacitors, if the battery management system directly performs high-voltage action, at the moment when the relay is closed, the capacitors are equivalent to short circuits, so that the current of the circuit is overlarge and the relay is damaged, and therefore, the battery management system needs to perform a pre-charging process before performing the high-voltage action. The pre-charging process involves devices such as a pre-charging relay, a pre-charging resistor, a main relay and the like in a battery management system, wherein the pre-charging relay is connected in series with the pre-charging resistor, and the main relay is connected in parallel with the pre-charging relay and the pre-charging resistor. Fig. 3 is a schematic diagram of a battery system architecture provided in an embodiment of the present application, and may refer to fig. 3, where a main relay may include a main positive relay and a main negative relay, where the main positive relay is connected to a battery cluster positive electrode and a battery management system controller, the main positive relay is further connected in parallel with a pre-charging relay and a pre-charging resistor, and the main negative relay is connected to a battery cluster negative electrode and a battery management system controller, respectively. The battery management system controller can also be connected with the energy storage system early warning device.
Based on the above embodiments, a specific embodiment is provided below to describe in detail a process of determining whether the selection of the precharge resistor of the battery management system is reasonable.
Fig. 4 is a flowchart of a method for determining whether a precharge resistor is abnormal, which may be performed by the data analysis module 202 according to an embodiment of the present application. As shown in fig. 4, the method includes:
s401: and receiving a pre-charging relay closing instruction and a main relay closing instruction sent by the battery management system.
Opening and closing of the precharge relay and the main relay are controlled by a battery management system. In one implementation scenario, the battery management system controls the precharge relay to close, performing a precharge process. After the pre-charging is completed, the battery management system closes the main relay to perform high-voltage operation. Specifically, the battery management system controls the pre-charging relay and the main negative relay to be closed, and performs the pre-charging process. And after the pre-charging is completed, the main positive relay is closed again, and the pre-charging relay is opened.
S402: analyzing current data in a first preset time before receiving a pre-charging relay closing instruction and a second preset time after receiving a main relay closing instruction, and judging whether the current data is larger than a first pre-charging current threshold or not or whether the current data is smaller than a second pre-charging current threshold or not, wherein the first pre-charging current threshold is larger than the second pre-charging current threshold.
The first pre-charging current threshold value, the second pre-charging current threshold value, the first preset time and the second preset time are early warning parameters set by a user through the upper computer and can be adjusted according to actual conditions.
Analyzing the current data from the first preset time before receiving the pre-charging relay closing instruction to the second preset time after receiving the main relay instruction, avoiding the error judgment of the pre-charging process caused by the abnormality of the energy storage system before or after the pre-charging process, and improving the accuracy of data analysis.
S403: and if the current data is larger than the first pre-charging current threshold value or the current data is smaller than the second pre-charging current threshold value, determining that the pre-charging resistance of the battery management system is abnormal.
In one implementation scenario, when the current data is greater than the first precharge current threshold, it may be indicated that the resistance of the precharge resistor is too small, resulting in a larger current. At the moment, the user can be timely informed of abnormal pre-charge resistance, and further damage of large current to the relay is avoided.
In another implementation scenario, when the current data is smaller than the second precharge current threshold, the current data is too small, which may indicate that the resistance of the precharge resistor is too large, resulting in a longer duration of the precharge process or resulting in the precharge process not being completed.
In some embodiments, after determining that the precharge resistor is abnormal, the voltage data and the current data may be stored for a first preset time before the precharge process to a second preset time after the precharge process occurs. For example, the first preset time and the second preset time are 1S, and the voltage data and the current data from 1S before the pre-charging relay is closed to 1S after the main relay is closed are stored in the local storage module at a specific data storage frequency. The pre-charging relay is closed to indicate that the pre-charging process is started; the main relay is closed, indicating that the priming process is complete. The precharge process may be 2S, so it is necessary to store voltage data and current data of 4S. When the data storage frequency is 1mS, 4000 times of voltage data and current data need to be stored, 1 time per 1 mS.
The embodiment of the application provides a method for determining whether a pre-charge resistor is abnormal or not, and a pre-charge relay closing instruction and a main relay closing instruction sent by a battery management system are received. Analyzing current data in a first preset time before receiving a pre-charging relay closing instruction and a second preset time after receiving a main relay closing instruction, and judging whether the current data is larger than a first pre-charging current threshold or not or whether the current data is smaller than a second pre-charging current threshold or not. If the current data is greater than the first pre-charge current threshold or the current data is less than the second pre-charge current threshold, the pre-charge resistance of the battery management system can be determined to be abnormal. The method provided by the embodiment of the application can monitor the pre-charging process in real time, and timely inform the user of abnormal pre-charging resistance, so that the safety of the energy storage system in the operation process is improved.
The battery management system can adjust the output power of the energy storage converter according to the actual situation of the battery cluster in real time. For example, the battery cluster is about to be fully charged, the battery management system can inform the energy storage converter to reduce the power, if the power response speed of the energy storage converter is low, the energy storage converter still charges the battery cluster with high power in a certain time, so that the risk of overcharge of the battery cluster is caused, and therefore the power response speed of the energy storage converter needs to be monitored.
On the basis of the above embodiments, a specific embodiment is provided below to describe in detail a process of determining whether the power response speed of the energy storage converter is abnormal.
Fig. 5 is a flowchart of a method for determining whether the power response speed of the energy storage converter is abnormal, where the method may be executed by the data analysis module 202, as shown in fig. 5, and the method specifically includes:
s501: and receiving a power switching instruction sent by the battery management system, wherein the power switching instruction carries the time for the battery management system to send the power switching instruction and the preset power to be switched by the energy storage converter.
The preset power can be higher than the actual running power of the current energy storage converter or lower than the actual running power of the current energy storage converter, and is determined by the battery management system according to the actual running condition of the battery cluster.
In one implementation scenario, the battery management system also sends a power switching command to the energy storage converter to cause the energy storage converter to adjust the output power according to the power switching command.
S502: and determining the time for switching the operating power of the energy storage converter to the preset power according to the voltage data and the current data.
The actual operating power of the energy storage converter can be determined from the voltage data and the current data, and in one implementation scenario, the product of the voltage data and the current data can be used as the actual operating power of the energy storage converter.
S503: and determining the time difference between the time when the battery management system sends the power switching instruction and the time when the operation power of the energy storage converter is switched to the preset power, and judging whether the time difference is larger than a power response time threshold.
The time difference between the time when the battery management system sends the power switching instruction and the time when the operation power of the energy storage converter is switched to the preset power is the response time of the energy storage converter for power switching. The smaller the time difference is, the shorter the response time of the energy storage converter is, and the faster the power response speed is. Conversely, the larger the time difference, the longer the response time of the energy storage converter, and the slower the power response speed.
The power response time threshold is an early warning parameter set by a user through an upper computer or a remote data terminal located at the cloud end and is used for representing the longest time in the allowable time range of the power response of the energy storage converter.
S504: and if the time difference is larger than the power response time threshold, determining that the power response speed of the energy storage converter is abnormal.
If the time difference is larger than the power response time threshold, the energy storage converter cannot switch the current actual running power to the preset power within the allowable time range, the power response loudness is slower, and the possibility of damaging a battery cluster or a battery management system exists.
In another implementation scenario, when the time difference is smaller than the power response time threshold, the energy storage converter is indicated to be capable of switching the current actual running power to the preset power within the allowable time range, and the power response speed is higher.
The embodiment of the application provides a method for determining whether the power response speed of an energy storage converter is abnormal or not, and the method is used for receiving a power switching instruction sent by a battery management system, wherein the power switching instruction carries the time for the battery management system to send the power switching instruction and preset power to be switched by the energy storage converter. And determining the time for switching the operating power of the energy storage converter to the preset power according to the voltage data and the current data. And determining the time difference between the time when the battery management system sends the power switching instruction and the time when the operation power of the energy storage converter is switched to the preset power, and judging whether the time difference is larger than a power response time threshold. And if the time difference is larger than the power response time threshold, determining that the power response speed of the energy storage converter is abnormal. The method provided by the embodiment of the application can monitor the power response speed of the energy storage converter in real time, effectively avoid the damage to the battery management system and the battery cluster caused by the slower power response speed of the energy storage converter, and improve the operation safety of the energy storage system.
Fig. 6 is a flowchart of an early warning method of an energy storage system according to an embodiment of the present application. The method of the present embodiment may be performed by the data analysis module 202 in the early warning device of the energy storage system, and may be implemented by hardware, software, or a combination of hardware and software. As shown in fig. 6, the method may include:
s601: and receiving early warning parameters set by the upper computer.
The early warning parameters are parameters for the data analysis module to use in performing data analysis, including but not limited to: the power control circuit comprises a first precharge current threshold value, a second precharge current threshold value, a first preset time, a second preset time, a power response time threshold value, a reactive power threshold value, a current short circuit threshold value, a current fluctuation threshold value, a voltage fluctuation threshold value, a data storage frequency and other parameters.
The upper computer is a computer capable of directly sending out a control command. In another implementation scenario, besides the upper computer, the user can set the early warning parameters through a remote data terminal located at the cloud.
S602: and acquiring voltage data and/or current data of the battery cluster.
In one implementation scenario, the energy storage system pre-warning device further comprises a data acquisition module. The data acquisition module can acquire voltage data and/or current data of the battery clusters at a specific sampling frequency and send the voltage data and/or the current data to the data analysis module.
Since the energy storage converter is connected to the battery cluster, the voltage of the battery cluster is the voltage output by the energy storage converter, and the current of the battery cluster is the current output by the energy storage converter.
S603: and analyzing the voltage data and/or the current data according to the early warning parameters, and determining whether the electric energy transmission state between the energy storage converter and the battery cluster is abnormal.
The power transfer state includes, but is not limited to, a current state between the energy storage converter and the battery cluster, a voltage state of an output of the energy storage converter, a power response speed of the energy storage converter, a state of the energy storage converter from active power to reactive power, a current state of a pre-charging process, and the like.
The current state between the energy storage converter and the battery cluster may include: whether the current is stable, whether the current is larger than the maximum allowable current of the battery cluster, whether the current is larger than the current short-circuit threshold of the battery cluster, and the like.
S604: if the power transmission state is abnormal, early warning information is sent to the upper computer.
The abnormal power transmission state may include the following various conditions: the output current of the energy storage converter is unstable, the output voltage is unstable, the response speed of the power obtained by energy storage conversion is low, large current occurs in the pre-charging process, the short circuit of the energy storage system causes current increase, and the like, and the details are not repeated here.
In one implementation scenario, after the early warning information is sent to the upper computer, voltage data and/or current data in a first preset time before the power transmission state is abnormal to a second preset time after the power transmission state is abnormal can be sent to the local storage module at a specific data storage frequency. And the local storage module is used for storing the voltage data and/or the current data and inquiring the voltage data and/or the current data by an upper computer or a remote data terminal positioned at the cloud. The first preset time and the second preset time can be adjusted according to practical situations, for example, the first preset time and the second preset time can be 1S. For example, if the current data is greater than the current short-circuit threshold, it may be determined that the energy storage system is shorted, and then the current data and the voltage data in 1S may be sent to the local storage module for storage before 1S of the energy storage system is shorted.
It should be noted that, the present application exemplarily provides several situations of determining whether the electric energy transmission state between the energy storage converter and the battery cluster is abnormal, and if other relevant performance indexes of the energy storage system need to be monitored, the monitoring can be implemented by setting the response early warning parameters through the upper computer or the remote data terminal located at the cloud, which is not limited in this application.
The embodiment of the application provides an early warning method of an energy storage system, which receives early warning parameters set by an upper computer. And acquiring voltage data and/or current data of the battery cluster. And analyzing the voltage data and/or the current data according to the early warning parameters, and determining whether the electric energy transmission state between the energy storage converter and the battery cluster is abnormal. If the power transmission state is abnormal, early warning information is sent to the upper computer. The early warning method for the energy storage system can collect the voltage data and the current data of the battery cluster in real time during the formal operation of the energy storage system, so that the real-time monitoring of the energy storage system is realized, and the operation safety of the energy storage system is improved.
The embodiment of the application provides a battery management system, which comprises the energy storage system early warning device provided by the embodiment.
Fig. 7 is a schematic diagram of an energy storage system according to an embodiment of the present application, including: the battery management system, the battery cluster, the energy storage converter, the fuse, the power grid and the upper computer provided by the embodiment.
The battery management system comprises an energy storage system early warning device, the energy storage system early warning device comprises a data acquisition module, a data analysis module and a local storage module, and the specific implementation principle of the energy storage system early warning device can refer to the embodiment.
Fig. 8 is a schematic diagram of a data analysis device according to an embodiment of the present application. As shown in fig. 8, an embodiment of the present application provides a data analysis device 800, which may include a receiving module 801, an obtaining module 802, a determining module 803, and a transmitting module 804.
A receiving module 801, configured to receive an early warning parameter set by an upper computer;
an acquisition module 802, configured to acquire voltage data and/or current data of the battery management system;
the determining module 803 is configured to analyze the voltage data and/or the current data according to the early warning parameter, and determine whether the electric energy transmission state between the energy storage converter and the battery cluster is abnormal;
and the sending module 804 is configured to send the early warning information to the upper computer if the power transmission state is abnormal.
The apparatus of this embodiment may be used to perform the method embodiments shown in fig. 4 to 6, and its implementation principle and technical effects are similar, and will not be described here again.
Fig. 9 is a schematic diagram two of a data analysis device according to an embodiment of the present application. As shown in fig. 9, the embodiment of the present application provides a data analysis device 900 including a processor 901 and a memory 902, wherein the processor 901 and the memory 902 are connected through a bus 903.
In a specific implementation process, the memory 902 stores codes, and the processor 901 executes the codes stored in the memory 902 to execute the energy storage system early warning method of the above method embodiment.
The specific implementation process of the processor 901 may refer to the above-mentioned method embodiment, and its implementation principle and technical effects are similar, and this embodiment will not be described herein again.
In the embodiment shown in fig. 9, it should be understood that the processor 901 may be a central processing unit (in english: central Processing Unit, abbreviated as CPU), and may also be other general purpose processors, digital signal processors (in english: digital Signal Processor, abbreviated as DSP), application specific integrated circuits (in english: application Specific Integrated Circuit, abbreviated as ASIC), and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in a processor for execution.
The memory 902 may comprise high-speed RAM memory, and may also include non-volatile storage NVM, such as at least one disk memory.
The bus 903 may be an industry standard architecture (Industry Standard Architecture, ISA) bus, an external device interconnect (Peripheral Component, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The bus 903 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, the bus 903 in the figures of the present application is not limited to only one bus or one type of bus.
The embodiment of the application provides a computer readable storage medium, wherein computer executable instructions are stored in the computer readable storage medium, and the computer executable instructions are used for realizing the energy storage system early warning method of the method embodiment when being executed by a processor.
The computer readable storage medium described above may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk. A readable storage medium can be any available medium that can be accessed by a general purpose or special purpose computer.
An exemplary readable storage medium is coupled to the processor such the processor can read information from, and write information to, the readable storage medium. In the alternative, the readable storage medium may be integral to the processor. The processor and the readable storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuits, ASIC for short). The processor and the readable storage medium may reside as discrete components in a device.
An embodiment of the present application provides a computer program product, including a computer program, where the computer program when executed by a processor implements the energy storage system early warning method provided in any of the embodiments of the present application.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is to be understood that the present application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (14)
1. The early warning device of the energy storage system is characterized by being applied to a battery management system, wherein the energy storage system comprises the battery management system, a battery cluster and an energy storage converter; the battery management system is respectively connected with the energy storage converter and the battery cluster; the energy storage converter is also connected with a power grid and the battery cluster respectively; comprising the following steps: the data acquisition module and the data analysis module;
The data acquisition module is used for acquiring voltage data and/or current data of the battery cluster and sending the voltage data and/or the current data to the data analysis module;
the data analysis module is used for receiving early warning parameters set by the upper computer; analyzing the voltage data and/or the current data according to the early warning parameters, and determining whether the electric energy transmission state between the energy storage converter and the battery cluster is abnormal or not; and if the electric energy transmission state is abnormal, sending early warning information to the upper computer.
2. The apparatus of claim 1, wherein the battery management system comprises a pre-charge relay, a pre-charge resistor, and a main relay, the pre-charge relay being in series with the pre-charge resistor, the main relay being in parallel with the pre-charge relay and the pre-charge resistor; the early warning parameters comprise a first pre-charging current threshold value, a second pre-charging current threshold value, a first preset time and a second preset time; the data analysis module is used for analyzing the voltage data and/or the current data according to the early warning parameters and determining whether the electric energy transmission state between the energy storage converter and the battery cluster is abnormal or not, and comprises the following steps:
Receiving a pre-charging relay closing instruction and a main relay closing instruction sent by the battery management system;
analyzing current data in a first preset time before receiving the pre-charging relay closing instruction to a second preset time after receiving the main relay closing instruction, and judging whether the current data is larger than the first pre-charging current threshold or whether the current data is smaller than a second pre-charging current threshold, wherein the first pre-charging current threshold is larger than the second pre-charging current threshold;
and if the current data is larger than the first pre-charging current threshold value or smaller than the second pre-charging current threshold value, determining that the pre-charging resistance of the battery management system is abnormal.
3. The apparatus of claim 1, wherein the early warning parameter further comprises a power response time threshold; the data analysis module is used for analyzing the voltage data and/or the current data according to the early warning parameters and determining whether the electric energy transmission state between the energy storage converter and the battery cluster is abnormal or not, and the data analysis module further comprises:
receiving a power switching instruction sent by the battery management system, wherein the power switching instruction carries the time for the battery management system to send the power switching instruction and the preset power to be switched by the energy storage converter;
Determining the time for switching the operation power of the energy storage converter to the preset power according to the voltage data and the current data;
determining a time difference between the time when the battery management system sends the power switching instruction and the time when the operation power of the energy storage converter is switched to the preset power, and judging whether the time difference is larger than the power response time threshold;
and if the time difference is larger than the power response time threshold, determining that the power response speed of the energy storage converter is abnormal.
4. The apparatus of claim 1, wherein the battery management system is further configured to send power switching instructions to the energy storage converter and the data analysis module, the instructions being configured to instruct the energy storage converter to switch between active power and reactive power; the early warning parameters also comprise a power threshold; the data analysis module is used for analyzing the voltage data and/or the current data according to the early warning parameters and determining whether the electric energy transmission state between the energy storage converter and the battery cluster is abnormal or not, and the data analysis module further comprises:
after receiving a power switching instruction sent by the battery management system, determining the actual power of the energy storage converter according to the voltage data and the current data, and judging whether the actual power is larger than the power threshold;
If the actual power is larger than the power threshold, determining that the energy storage converter is abnormal in the process of converting the active power and the reactive power.
5. The apparatus of claim 1, wherein the early warning parameter further comprises a current short circuit threshold; the data analysis module is used for analyzing the voltage data and/or the current data according to the early warning parameters and determining whether the electric energy transmission state between the energy storage converter and the battery cluster is abnormal or not, and comprises the following steps:
judging whether the current data is larger than the current short-circuit threshold value or not;
and if the current data is larger than the current short-circuit threshold value, determining that the energy storage system is short-circuited.
6. The apparatus of claim 1, wherein the pre-warning parameters further comprise a current ripple threshold and a voltage ripple threshold; the data analysis module is used for analyzing the voltage data and/or the current data according to the early warning parameters and determining whether the electric energy transmission state between the energy storage converter and the battery cluster is abnormal or not, and the data analysis module further comprises:
judging whether the current data is larger than the current fluctuation threshold value and/or whether the voltage data is larger than the voltage fluctuation threshold value;
And if the current data is larger than the current fluctuation threshold value, determining that the current fluctuation output by the energy storage converter is abnormal, and/or if the voltage data is larger than the voltage fluctuation threshold value, determining that the voltage fluctuation output by the energy storage converter is abnormal.
7. The apparatus of any one of claims 2-6, wherein the pre-warning parameters further comprise a data storage frequency; the apparatus further comprises: the local storage module is used for storing the data sent by the data analysis module at the data storage frequency, wherein the data comprises voltage data and/or current data in a first preset time before the power transmission state is abnormal to a second preset time after the power transmission state is abnormal.
8. The energy storage system early warning method is characterized by being applied to a data analysis module and comprising the following steps:
receiving early warning parameters set by an upper computer;
acquiring voltage data and/or current data of a battery cluster;
analyzing the voltage data and/or the current data according to the early warning parameters, and determining whether the electric energy transmission state between the energy storage converter and the battery cluster is abnormal or not;
and if the electric energy transmission state is abnormal, sending early warning information to the upper computer.
9. A battery management system, comprising: the energy storage system pre-warning device of any one of claims 1-7.
10. An energy storage system, comprising: the battery management system, battery cluster, energy storage converter, fuse, and host computer of claim 9.
11. A data analysis apparatus, comprising:
the receiving module is used for receiving the early warning parameters set by the upper computer;
the acquisition module is used for acquiring voltage data and/or current data of the battery management system;
the determining module is used for analyzing the voltage data and/or the current data according to the early warning parameters and determining whether the electric energy transmission state between the energy storage converter and the battery cluster is abnormal or not;
and the sending module is used for sending early warning information to the upper computer if the electric energy transmission state is abnormal.
12. A data analysis device, comprising: a processor, a memory, the memory storing code therein, the processor running the code stored in the memory to perform the energy storage system pre-warning method of claim 8.
13. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to implement the energy storage system pre-warning method of claim 8.
14. A computer program product comprising a computer program which when executed by a processor implements the energy storage system pre-warning method of claim 8.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117318137A (en) * | 2023-08-18 | 2023-12-29 | 合肥开关厂有限公司 | Conversion system of intelligent power module in energy storage circuit |
| CN117639276A (en) * | 2024-01-23 | 2024-03-01 | 江苏中能汇宏经济发展有限公司 | Energy storage converter control system and control method thereof |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117318137A (en) * | 2023-08-18 | 2023-12-29 | 合肥开关厂有限公司 | Conversion system of intelligent power module in energy storage circuit |
| CN117639276A (en) * | 2024-01-23 | 2024-03-01 | 江苏中能汇宏经济发展有限公司 | Energy storage converter control system and control method thereof |
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