Energy storage system early warning device and method, battery management system and energy storage system

Abstract

This application provides an early warning device, method, battery management system, and energy storage system for an energy storage system. The device is applied to a battery management system, and the energy storage system includes a battery management system, battery clusters, and an energy storage converter. The device includes a data acquisition module and a data analysis module. The data acquisition module collects voltage and / or current data from the battery clusters and sends the voltage and / or current data to the data analysis module. The data analysis module receives early warning parameters set by a host computer and analyzes the voltage and / or current data based on the early warning parameters to determine whether the power transmission status between the energy storage converter and the battery clusters is abnormal. If the power transmission status is abnormal, an early warning message is sent to the host computer. The device of this application collects voltage and current data from the battery clusters in real time during the normal operation of the energy storage system, realizing real-time monitoring of the energy storage system and improving the safety of energy storage system operation.

Description

Technical Field

[0001] This application relates to the field of energy storage system technology, and in particular to an energy storage system early warning device, method, battery management system and energy storage system. Background Technology

[0002] In energy storage systems, voltage, current, and power are crucial indicators for the long-term safe and stable operation of the system, thus creating a demand for monitoring these parameters.

[0003] Currently, oscilloscopes or power analyzers are commonly used to analyze and test the power of energy storage systems. However, since oscilloscopes or power analyzers typically measure the power of energy storage systems during the commissioning or trial operation phase, they cannot monitor the power during the formal operation of the energy storage system, resulting in lower operational safety. Summary of the Invention

[0004] This application provides an early warning device, method, battery management system, and energy storage system for energy storage systems, in order to solve the problem that existing technologies cannot monitor energy storage systems during normal operation using oscilloscopes or power analyzers, resulting in low operational safety of energy storage systems.

[0005] In a first aspect, this application provides an early warning device for an energy storage system, applied to a battery management system. The energy storage system includes a battery management system, a battery cluster, and an energy storage converter. The battery management system is connected to both the energy storage converter and the battery cluster. The energy storage converter is also connected to both the power grid and the battery cluster. The device includes a data acquisition module and a data analysis module.

[0006] The data acquisition module is used to collect voltage and / or current data of the battery clusters and send the voltage and / or current data to the data analysis module;

[0007] The data analysis module is used to receive the warning parameters set by the host computer; analyze the voltage and / or current data according to the warning parameters to determine whether the power transmission status between the energy storage converter and the battery cluster is abnormal; if the power transmission status is abnormal, send the warning information to the host computer.

[0008] Secondly, this application provides an early warning method for an energy storage system, applied to a data analysis module, comprising:

[0009] Receive early warning parameters set by the host computer;

[0010] Obtain voltage and / or current data for the battery clusters;

[0011] Analyze voltage and / or current data based on the warning parameters to determine whether the power transmission status between the energy storage converter and the battery cluster is abnormal.

[0012] If the power transmission status is abnormal, a warning message will be sent to the host computer.

[0013] Thirdly, this application provides a battery management system, including: an energy storage system early warning device according to any one of the first aspects.

[0014] Fourthly, this application provides an energy storage system, including: the battery management system, battery cluster, energy storage converter, fuse, and host computer as described in the third aspect.

[0015] Fifthly, this application provides a data analysis device, comprising:

[0016] The receiving module is used to receive the warning parameters set by the host computer;

[0017] The acquisition module is used to acquire voltage and / or current data from the battery management system.

[0018] The determination module is used to analyze voltage and / or current data based on warning parameters to determine whether the power transmission status between the energy storage converter and the battery cluster is abnormal.

[0019] The sending module is used to send a warning message to the host computer if the power transmission status is abnormal.

[0020] Sixthly, this application provides a data analysis device, including: a processor and a memory, wherein code is stored in the memory, and the processor executes the code stored in the memory to perform the energy storage system early warning method as described in the second aspect.

[0021] In a seventh aspect, this application provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the energy storage system early warning method as described in the second aspect.

[0022] Eighthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the energy storage system early warning method of the second aspect.

[0023] This application provides an early warning device, method, battery management system, and energy storage system for an energy storage system. The early warning device includes a data acquisition module and a data analysis module. The data acquisition module collects voltage and / or current data from the battery cluster and sends the data to the data analysis module. The data analysis module receives early warning parameters set by a host computer and analyzes the voltage and / or current data based on these parameters to determine whether the power transfer status between the energy storage converter and the battery cluster is abnormal. If the power transfer status is abnormal, an early warning message is sent to the host computer. The early warning device for the energy storage system of this application can monitor the operation of the energy storage system in real time to improve the safety of the energy storage system operation. Attached Figure Description

[0024] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0025] Figure 1 This application provides a schematic diagram of an early warning scenario for an energy storage system.

[0026] Figure 2 A schematic diagram of an early warning device for an energy storage system provided in an embodiment of this application;

[0027] Figure 3 A schematic diagram of a battery system architecture provided in this application embodiment;

[0028] Figure 4 A flowchart illustrating a method for determining whether a pre-charge resistor is abnormal, provided in an embodiment of this application;

[0029] Figure 5 A flowchart illustrating a method for determining whether the power response speed of an energy storage converter is abnormal, provided in an embodiment of this application;

[0030] Figure 6 A flowchart of an early warning method for an energy storage system provided in this application embodiment;

[0031] Figure 7 A schematic diagram of an energy storage system provided in an embodiment of this application;

[0032] Figure 8 A schematic diagram of a data analysis device provided in this application embodiment. Figure 1 ;

[0033] Figure 9 A schematic diagram of a data analysis device provided in this application embodiment. Figure 2 .

[0034] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0035] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0036] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties. Furthermore, the collection, use and processing of the relevant data must comply with the relevant laws, regulations and standards of the relevant countries and regions, and corresponding operation portals are provided for users to choose to authorize or refuse.

[0037] To ensure the normal operation of energy storage systems, it is necessary to monitor their voltage, current, and power. Currently, while oscilloscopes or power analyzers can be used to test the power of energy storage systems during the commissioning or trial operation phases, they cannot be used for monitoring during formal operation, leading to lower operational safety. Furthermore, oscilloscopes and power analyzers are typically bulky, making them inconvenient to carry at the energy storage system testing site, resulting in poor portability and high cost.

[0038] This application provides an early warning device for an energy storage system. This device is integrated with a battery management system and can collect real-time voltage and / or current data of the battery clusters. Based on user-defined early warning parameters, it monitors the voltage and / or current data to determine if there are any abnormalities in the power transfer between the energy storage converter and the battery clusters. If an abnormality occurs, it promptly sends an early warning message to a host computer or a remote data terminal in the cloud to notify the user for timely handling, thereby improving the safety of the energy storage system operation.

[0039] Figure 1 This is a schematic diagram of an early warning scenario for an energy storage system provided in an embodiment of this application, such as... Figure 1As shown, the energy storage converter is connected to the power grid and also connected in series with the battery cluster via a fuse, enabling the conversion between AC and DC power. The fuse, also known as a circuit breaker, automatically melts when the circuit current exceeds a set threshold, improving circuit safety. The energy storage system's early warning device is located within the battery management system. It can collect real-time voltage and / or current data from the battery cluster and monitor this data based on warning parameters set by a host computer or cloud-based remote data terminal to determine if the power transfer status between the energy storage converter and the battery cluster is abnormal. If the power transfer status is abnormal, an early warning message is sent to the host computer or cloud-based remote data terminal, enabling real-time monitoring of the energy storage system and improving its operational safety.

[0040] The technical solution of this application and how it solves the above-mentioned technical problems will be described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will be described below with reference to the accompanying drawings.

[0041] Figure 2 This is a schematic diagram of an early warning device for an energy storage system provided in an embodiment of this application, as shown below. Figure 2 As shown, the energy storage system early warning device may include a data acquisition module 201 and a data analysis module 202.

[0042] The energy storage system early warning device can be applied to and integrated with the battery management system. The energy storage system may include a battery management system, battery clusters, and an energy storage converter. The battery management system is connected to both the energy storage converter and the battery clusters; the energy storage converter is also connected to both the power grid and the battery clusters.

[0043] The data acquisition module 201 is used to acquire voltage and / or current data of the battery cluster and send the voltage and / or current data to the data analysis module 202.

[0044] The data analysis module 202 is used to receive the warning parameters set by the host computer; analyze the voltage data and / or current data according to the warning parameters to determine whether the power transmission status between the energy storage converter and the battery cluster is abnormal; if the power transmission status is abnormal, send the warning information to the host computer.

[0045] A Power Conversion System (PCS), also known as a bidirectional energy storage inverter, is a device that connects the power grid and battery clusters to achieve energy conversion. In one implementation scenario, when the battery management system controls the PCS to charge the battery clusters, the PCS converts the AC power from the grid to DC power and outputs the DC power to the battery clusters, where the battery clusters store the electrical energy. In another implementation scenario, when there is no power from the grid, the battery management system controls the battery clusters to discharge, and the battery clusters output the stored electrical energy to the PCS. The PCS then converts the DC power to AC power and outputs the AC power to the grid or load to supply power to the grid or load.

[0046] A battery, or cell, is the smallest unit of energy storage. Different types of batteries can store different amounts of energy; battery types can include 271Ah, 92Ah, etc. A battery cluster consists of multiple battery cells and a high-voltage box, and is the smallest energy storage system. Each battery cell contains one or more battery modules, and each battery module contains multiple batteries.

[0047] The Battery Management System (BMS) is responsible for current acquisition, power estimation, and collecting cell information to implement control and protection strategies for the entire battery system.

[0048] The host computer can be a computer capable of directly issuing control commands. In addition to the host computer, a remote data terminal located in the cloud can also set the warning parameters and send them to the data analysis module 202.

[0049] The data acquisition module 201 collects voltage and / or current data from the battery cluster. In one implementation scenario, this data can be collected at a specific sampling frequency. The sampling frequency can also be set by the user via a host computer or remote data terminal. Typically, to improve the accuracy of the collected voltage and current data, the sampling frequency is usually set to a larger value within the allowable range, such as 10kHz, meaning 10,000 voltage and current data are collected within 1 second.

[0050] It should be noted that the data acquisition module 201 acquires the voltage and / or current data of the battery cluster. Since the energy storage converter is connected to 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.

[0051] The power transfer status between the energy storage converter and the battery cluster includes, but is not limited to, the current status between the energy storage converter and the battery cluster, the voltage status output by the energy storage converter, the power response speed of the energy storage converter, the status of the energy storage converter switching between active and reactive power, and the current status during the pre-charging process.

[0052] The current state between the energy storage converter and the battery cluster can include whether the current is stable. For example, if the energy storage converter is currently operating at the battery cluster's maximum charge / discharge capacity, large fluctuations in the output current of the energy storage converter may lead to overcurrent faults in the battery cluster. Similarly, the voltage state of the energy storage converter's output includes whether the voltage is stable. For example, when the output voltage of the energy storage converter is unstable, it may affect whether the battery cluster is at risk of overcharging or over-discharging.

[0053] Therefore, users can set current fluctuation thresholds and voltage fluctuation thresholds via the host computer. The data analysis module 202 can determine whether the current data is greater than the current fluctuation threshold, and / or whether the voltage data is greater than the voltage fluctuation threshold. If the current data is greater than the current fluctuation threshold, it is determined that the current fluctuation of the energy storage converter output is abnormal, and / or, if the voltage data is greater than the voltage fluctuation threshold, it is determined that the voltage fluctuation of the energy storage converter output is abnormal.

[0054] The current state between the energy storage converter and the battery cluster can also include whether the current exceeds the maximum allowable current of 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 this maximum allowable current to the energy storage converter and the data analysis module 202. Since the current output by the energy storage converter may exceed the maximum allowable current—for example, the energy storage converter may output a pulsed large current—which, if greater than the maximum allowable current, could potentially damage the battery cluster in the long run. Therefore, the data analysis module 202 can monitor whether the current output by the battery management system exceeds the maximum allowable current.

[0055] The current status between the energy storage converter and the battery cluster can also include whether the current exceeds the battery cluster's short-circuit threshold. This short-circuit threshold, a warning parameter, can be set by the user via a host computer. Since energy storage systems are susceptible to short circuits, the increased current during a short circuit can damage the system; therefore, monitoring for short circuits is necessary. Specifically, the data analysis module 202 can determine whether the current data exceeds the short-circuit threshold. If the current data exceeds the short-circuit threshold, a short circuit is confirmed in the energy storage system.

[0056] In some embodiments, the battery management system is further configured to send power switching commands to the energy storage converter and the data analysis module 202. These commands instruct the energy storage converter to switch between active and reactive power. Upon receiving the power switching command from the battery management system, the data analysis module 202 determines the actual power of the energy storage converter based on voltage and current data, and checks whether the actual power exceeds a power threshold. If the actual power exceeds the power threshold, an anomaly is determined in the energy storage converter's active and reactive power conversion. The power switching command may include reactive power switching commands and active power switching commands. The reactive power switching command instructs the energy storage converter to switch from active power to reactive power, and the active power switching command instructs the energy storage converter to switch from reactive power to active power. The power threshold includes both a reactive power threshold and an active power threshold.

[0057] In one implementation scenario, when the power limit of the energy storage converter is set to 0, the output current of the energy storage converter will fluctuate, causing the actual operating power of the energy storage converter to be greater than 0, or a fault in the internal rectification logic of the energy storage converter, leading to an increase in power. If the battery cluster is already fully charged at this time, there is a risk of overcharging. If the battery cluster is depleted, there is a risk of over-discharging. Therefore, it is necessary to monitor the switching between active and reactive power of the energy storage converter. Specifically, the data analysis module 202 can determine the actual power of the energy storage converter based on voltage and current data, and determine whether the actual power is greater than the reactive power threshold. If the actual power is greater than the reactive power threshold, it is determined that there is an anomaly when the energy storage converter switches from active to reactive power. The reactive power threshold can be a warning parameter set by the user through a host computer.

[0058] In another implementation scenario, the battery management system (BMS) sends an active power switching command to the energy storage converter and the data analysis module 202, carrying an active power threshold. Upon receiving the active power switching command, the data analysis module 202 determines the actual power of the energy storage converter based on voltage and current data, and checks whether the actual power exceeds the active power threshold. If the actual power exceeds the active power threshold, an anomaly is identified when the energy storage converter switches from reactive power to active power. The active power threshold is the maximum power that the BMS can allow the energy storage converter to operate at; it can be determined by the BMS or set by the user via a host computer. When the actual power of the energy storage converter exceeds its maximum allowable power, it can cause damage to the battery cluster.

[0059] In one implementation scenario, in addition to the data acquisition module 201 and the data analysis module 202, the energy storage system early warning device of this application may further include: a local storage module 203, used to store data transmitted by the data analysis module 202 at a data storage frequency. The data includes voltage and / or current data from a first preset time before the abnormal power transmission state to a second preset time after the abnormal power transmission state. The data storage frequency can be set by the user via a host computer or a remote data terminal located in the cloud, and different data storage frequencies can be set for different types of power transmission states. For example, when the current state is abnormal during the pre-charging process, the data storage frequency can be 100 μS. When the power response speed of the energy storage converter is abnormal, the data storage frequency can be 10 ms. A higher data storage frequency can improve the accuracy of the data, further improving the accuracy of the user's analysis based on the stored data.

[0060] The host computer or a remote data terminal located in the cloud can read the stored voltage and current data in the local storage module 203 to provide data support, so that users can determine the cause of the fault based on the voltage and current data, reduce risks, and improve traceability.

[0061] This application provides an early warning device for an energy storage system, comprising a data acquisition module and a data analysis module. The data acquisition module collects voltage and / or current data from the battery cluster and sends this data to the data analysis module. The data analysis module receives early warning parameters set by a host computer, analyzes the voltage and / or current data based on these parameters, and determines whether the power transmission status between the energy storage converter and the battery cluster is abnormal. If the power transmission status is abnormal, an early warning message is sent to the host computer. The energy storage system early warning device provided in this application is integrated with a battery management system, enabling real-time monitoring of the power transmission status between the battery cluster and the energy storage converter, thereby improving the safety of the energy storage system operation. Furthermore, integrating the energy storage system early warning device into the battery management system reduces costs.

[0062] Because the energy storage converter contains multiple capacitors, if the battery management system directly applies high voltage, the capacitors will short-circuit at the moment the relay closes, causing excessive current and damaging the relay. Therefore, the battery management system needs to perform a pre-charging process before applying high voltage. The pre-charging process involves devices such as the pre-charge relay, pre-charge resistor, and main relay in the battery management system. The pre-charge relay and pre-charge resistor are connected in series, while the main relay is connected in parallel with the pre-charge relay and pre-charge resistor. Figure 3 This is a schematic diagram of a battery system architecture provided in an embodiment of this application, which can be referred to. Figure 3As shown, the main relay may include a main positive relay and a main negative relay. The main positive relay is connected to the positive terminal of the battery cluster and the battery management system controller, respectively. The main positive relay is also connected in parallel with a pre-charge relay and a pre-charge resistor. The main negative relay is connected to the negative terminal of the battery cluster and the battery management system controller, respectively. The battery management system controller may also be connected to the energy storage system early warning device provided in this application.

[0063] Based on the above embodiments, a specific embodiment is provided below to describe in detail the process of determining whether the pre-charge resistor selection of the battery management system is reasonable.

[0064] Figure 4 This application provides a flowchart of a method for determining whether a pre-charge resistance is abnormal, which can be executed by the data analysis module 202. Figure 4 As shown, the method includes:

[0065] S401: Receives the pre-charge relay closing command and the main relay closing command sent by the battery management system.

[0066] The opening and closing of both the pre-charge relay and the main relay are controlled by the battery management system (BMS). In one implementation scenario, the BMS controls the pre-charge relay to close, initiating the pre-charge process. After pre-charging is complete, the BMS closes the main relay to initiate the high-voltage connection. Specifically, the BMS controls both the pre-charge relay and the main negative relay to close, initiating the pre-charge process. After pre-charging is complete, the main positive relay is then closed, opening the pre-charge relay.

[0067] S402: Analyze the current data from the first preset time before receiving the pre-charge relay closing command to the second preset time after receiving the main relay closing command, and determine whether the current data is greater than the first pre-charge current threshold or whether the current data is less than the second pre-charge current threshold, wherein the first pre-charge current threshold is greater than the second pre-charge current threshold.

[0068] The first pre-charge current threshold, the second pre-charge current threshold, the first preset time, and the second preset time are warning parameters set by the user through the host computer and can be adjusted according to the actual situation.

[0069] The current data is analyzed from the first preset time before receiving the precharge relay closing command to the second preset time after receiving the main relay command. This avoids incorrect judgments about the precharge process due to abnormalities in the energy storage system before or after the precharge process, thus improving the accuracy of data analysis.

[0070] S403: 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, determine that the pre-charge resistance of the battery management system is abnormal.

[0071] In one implementation scenario, if the current data exceeds the first pre-charge current threshold, it indicates that the pre-charge resistor value is too small, resulting in a large current. In this case, the user can be promptly notified of the pre-charge resistor abnormality, thus preventing damage to the relay from prolonged high current.

[0072] In another implementation scenario, when the current data is less than the second pre-charge current threshold, the excessively small current data indicates that the resistance of the pre-charge resistor is too large, which may result in a longer pre-charge process or prevent the pre-charge process from being completed.

[0073] In some embodiments, after determining that the pre-charging resistor is abnormal, voltage and current data from a first preset time before the pre-charging process to a second preset time after the pre-charging process begins can be stored. For example, both the first and second preset times are 1 second. Voltage and current data from 1 second before the pre-charging relay closes to 1 second after the main relay closes are stored in the local storage module at a specific data storage frequency. It should be noted that the closure of the pre-charging relay indicates the start of the pre-charging process; the closure of the main relay indicates the completion of the pre-charging process. The pre-charging process can be 2 seconds, therefore 4 seconds of voltage and current data need to be stored. When the data storage frequency is 1 ms, 4000 voltage and current data records need to be stored, recording once every 1 ms.

[0074] This application provides a method for determining whether the pre-charge resistance is abnormal. The method involves receiving a pre-charge relay closing command and a main relay closing command from a battery management system. Current data is analyzed over a first preset time period before receiving the pre-charge relay closing command and a second preset time period after receiving the main relay closing command. The method determines whether the current data is greater than a first pre-charge current threshold or less than a second pre-charge current threshold. If the current data is greater than the first pre-charge current threshold or less than the second pre-charge current threshold, the pre-charge resistance of the battery management system is determined to be abnormal. The method provided in this application enables real-time monitoring of the pre-charge process and timely notification to the user of any pre-charge resistance abnormalities, thus improving the safety of the energy storage system during operation.

[0075] Because the battery management system adjusts the output power of the energy storage inverter in real time based on the actual condition of the battery cluster, for example, when the battery cluster is about to be fully charged, the battery management system will instruct the energy storage inverter to reduce its power. If the power response speed of the energy storage inverter is slow, it may cause the energy storage inverter to continue charging the battery cluster at a high power for a certain period of time, thus posing a risk of overcharging the battery cluster. Therefore, it is necessary to monitor the power response speed of the energy storage inverter.

[0076] Based on the above embodiments, a specific embodiment is provided below to describe in detail the process of determining whether the power response speed of an energy storage converter is abnormal.

[0077] Figure 5 This application provides a flowchart of a method for determining whether the power response speed of an energy storage converter is abnormal. This method can be executed by the data analysis module 202. Figure 5 As shown, the method is as follows:

[0078] S501: Receives a power switching command sent by the battery management system. The power switching command carries the time when the battery management system sent the power switching command and the preset power to be switched by the energy storage converter.

[0079] The preset power can be higher or lower than the actual operating power of the current energy storage converter, and is determined by the battery management system based on the actual operating conditions of the battery cluster.

[0080] In one implementation scenario, the battery management system also sends a power switching command to the energy storage converter, so that the energy storage converter can adjust its output power according to the power switching command.

[0081] S502: Determine the time for the energy storage converter to switch its operating power to the preset power based on voltage and current data.

[0082] The actual operating power of the energy storage converter can be determined based on voltage and current data. In one implementation scenario, the product of voltage and current data can be used as the actual operating power of the energy storage converter.

[0083] S503: Determine the time difference between the time when the battery management system sends the power switching command and the time when the energy storage converter switches its operating power to the preset power, and determine whether the time difference is greater than the power response time threshold.

[0084] The time difference between the battery management system sending the power switching command and the time it takes for the energy storage converter to switch its operating power to the preset power is the response time of the energy storage converter for power switching. A smaller time difference indicates a shorter response time and a faster power response speed. Conversely, a larger time difference indicates a longer response time and a slower power response speed.

[0085] The power response time threshold is an early warning parameter set by the user through a host computer or a remote data terminal located in the cloud. It is used to characterize the maximum time within the allowable time range of the power response of the energy storage converter.

[0086] S504: If the time difference is greater than the power response time threshold, the power response speed of the energy storage converter is determined to be abnormal.

[0087] If the time difference is greater than the power response time threshold, it indicates that the energy storage converter has failed to switch the current actual operating power to the preset power within the allowed time range, the power response is slow, and there is a possibility of damaging the battery cluster or battery management system.

[0088] In another implementation scenario, when the time difference is less than the power response time threshold, it indicates that the energy storage converter can switch the current actual operating power to the preset power within the allowed time range, and the power response speed is relatively fast.

[0089] This application provides a method for determining whether the power response speed of an energy storage converter is abnormal. The method receives a power switching command sent by a battery management system (BMS), the command carrying the time at which the BMS sent the command and a preset power to be switched by the energy storage converter. Based on voltage and current data, the time required for the energy storage converter to switch its operating power to the preset power is determined. The time difference between the time the BMS sends the power switching command and the time it takes for the energy storage converter to switch its operating power to the preset power is determined, and it is judged whether this time difference is greater than a power response time threshold. If the time difference is greater than the threshold, the power response speed of the energy storage converter is determined to be abnormal. The method provided in this application can monitor the power response speed of the energy storage converter in real time, effectively avoiding damage to the BMS and battery clusters caused by a slow power response speed, and improving the safety of the energy storage system operation.

[0090] Figure 6 This is a flowchart illustrating an early warning method for an energy storage system provided in an embodiment of this application. The method in this embodiment can be executed by the data analysis module 202 in the energy storage system early warning device, and can be implemented through hardware, software, or a combination of hardware and software. Figure 6 As shown, the method may include:

[0091] S601: Receives the warning parameters set by the host computer.

[0092] The warning parameters are parameters used by the data analysis module when performing data analysis, including but not limited to: first pre-charge current threshold, second pre-charge current threshold, first preset time, second preset time, power response time threshold, reactive power threshold, current short circuit threshold, current fluctuation threshold, voltage fluctuation threshold, data storage frequency, and other parameters.

[0093] The host computer is a computer capable of directly issuing control commands. In another implementation scenario, in addition to the host computer, users can also set warning parameters through a remote data terminal located in the cloud.

[0094] S602: Obtain voltage and / or current data of the battery cluster.

[0095] In one implementation scenario, the energy storage system early warning device also includes a data acquisition module. The data acquisition module can collect voltage and / or current data of the battery clusters at a specific sampling frequency and send the voltage and / or current data to the data analysis module.

[0096] It should be noted that 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.

[0097] S603: Analyze voltage and / or current data based on warning parameters to determine whether the power transfer status between the energy storage converter and the battery cluster is abnormal.

[0098] The power transmission status includes, but is not limited to, the current status between the energy storage converter and the battery cluster, the voltage status output by the energy storage converter, the power response speed of the energy storage converter, the status of the energy storage converter switching from active power to reactive power, and the current status during the pre-charging process.

[0099] The current state between the energy storage converter and the battery cluster can include several aspects such as whether the current is stable, whether the current is greater than the maximum allowable current of the battery cluster, and whether the current is greater than the current short-circuit threshold of the battery cluster.

[0100] S604: If the power transmission status is abnormal, send a warning message to the host computer.

[0101] Abnormal power transmission status can include a variety of situations, such as unstable output current of the energy storage converter, unstable output voltage, slow power response speed of the energy storage converter, large current during pre-charging, and increased current due to short circuit in the energy storage system. These will not be elaborated on here.

[0102] In one implementation scenario, after sending an early warning message to the host computer, voltage and / or current data for a period from a first preset time before the power transmission status abnormality to a second preset time after the abnormality can be sent to the local storage module at a specific data storage frequency. The local storage module stores the aforementioned voltage and / or current data for querying by the host computer or a remote data terminal located in the cloud. Both the first and second preset times can be adjusted according to actual conditions; for example, both can be 1 second. For instance, if the current data exceeds the current short-circuit threshold, a short circuit in the energy storage system can be determined. In this case, current and voltage data from 1 second before the short circuit occurs until 1 second after the short circuit occurs can be sent to the local storage module for storage.

[0103] It should be noted that this application provides several examples of situations for determining whether the power transmission status between the energy storage converter and the battery cluster is abnormal. If it is necessary to monitor other relevant performance indicators of the energy storage system, monitoring can be achieved by setting corresponding early warning parameters through a host computer or a remote data terminal located in the cloud. This application does not impose any restrictions on this.

[0104] This application provides an early warning method for an energy storage system, which receives early warning parameters set by a host computer. It acquires voltage and / or current data of the battery cluster. Based on the early warning parameters, it analyzes the voltage and / or current data to determine whether the power transmission status between the energy storage converter and the battery cluster is abnormal. If the power transmission status is abnormal, it sends an early warning message to the host computer. The early warning method for an energy storage system provided in this application can collect voltage and current data of the battery cluster in real time during the normal operation of the energy storage system, realizing real-time monitoring of the energy storage system and improving the safety of energy storage system operation.

[0105] This application provides a battery management system, including the energy storage system early warning device provided in the above embodiments.

[0106] Figure 7 A schematic diagram of an energy storage system provided in this application embodiment includes: the battery management system, battery cluster, energy storage converter, fuse, power grid, and host computer provided in the above embodiment.

[0107] The battery management system includes an energy storage system early warning device, which includes a data acquisition module, a data analysis module, and a local storage module. The specific implementation principle of the energy storage system early warning device can be referred to the above embodiments, and will not be repeated here.

[0108] Figure 8 A schematic diagram of a data analysis device provided in this application embodiment. Figure 1 .like Figure 8 As shown in the figure, this application provides a data analysis device 800, which may include a receiving module 801, an acquisition module 802, a determining module 803, and a sending module 804.

[0109] The receiving module 801 is used to receive the warning parameters set by the host computer;

[0110] The acquisition module 802 is used to acquire voltage data and / or current data of the battery management system;

[0111] The determination module 803 is used to analyze voltage and / or current data based on the warning parameters to determine whether the power transmission status between the energy storage converter and the battery cluster is abnormal.

[0112] The sending module 804 is used to send a warning message to the host computer if the power transmission status is abnormal.

[0113] The device in this embodiment can be used to perform, for example... Figures 4 to 6 The method embodiments shown are similar in principle and technical effect, and will not be described again here.

[0114] Figure 9 A schematic diagram of a data analysis device provided in this application embodiment. Figure 2 .like Figure 9 As shown, this application embodiment provides a data analysis device 900 including a processor 901 and a memory 902, wherein the processor 901 and the memory 902 are connected via a bus 903.

[0115] In the specific implementation process, the memory 902 stores code, and the processor 901 runs the code stored in the memory 902 to execute the energy storage system early warning method of the above method embodiment.

[0116] The specific implementation process of processor 901 can be found in the above method embodiments, and its implementation principle and technical effect are similar. It will not be repeated here.

[0117] In the above Figure 9 In the illustrated embodiments, it should be understood that the processor 901 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0118] The memory 902 may include high-speed RAM memory, and may also include non-volatile memory (NVM), such as at least one disk storage.

[0119] Bus 903 can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Bus 903 can be divided into address bus, data bus, control bus, etc. For ease of illustration, the bus 903 in the accompanying drawings of this application is not limited to only one bus or one type of bus.

[0120] This application provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the energy storage system early warning method described in the above method embodiments.

[0121] The aforementioned computer-readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, 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 storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium accessible to general-purpose or special-purpose computers.

[0122] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the processor and the readable storage medium can exist as discrete components in the device.

[0123] This application provides a computer program product, including a computer program that, when executed by a processor, implements the energy storage system early warning method provided in any of the embodiments described above.

[0124] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the following claims.

[0125] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. An energy storage system early warning device, characterized by, This system is applied to a battery management system. The energy storage system includes a battery management system, battery clusters, and an energy storage converter. The battery management system is connected to both the energy storage converter and the battery clusters. The energy storage converter is also connected to both the power grid and the battery clusters. The system includes a data acquisition module and a data analysis module. The data acquisition module is used 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; The data analysis module is used to receive the warning parameters set by the host computer; analyze the voltage data and / or the current data according to the warning parameters to determine whether the power transmission status between the energy storage converter and the battery cluster is abnormal; if the power transmission status is abnormal, send the warning information to the host computer. The battery management system includes a pre-charge relay, a pre-charge resistor, and a main relay. The pre-charge relay and the pre-charge resistor are connected in series, and the main relay is connected in parallel with the pre-charge relay and the pre-charge resistor. The warning parameters include a first pre-charge current threshold, a second pre-charge current threshold, a first preset time, and a second preset time. When the data analysis module analyzes the voltage data and / or the current data according to the warning parameters to determine whether the power transfer status between the energy storage converter and the battery cluster is abnormal, it includes: Receive the pre-charge relay closing command and the main relay closing command sent by the battery management system; The current data during the period from the first preset time before receiving the precharge relay closing command to the second preset time after receiving the main relay closing command is analyzed to determine whether the current data is greater than the first precharge current threshold or whether the current data is less than the second precharge current threshold, wherein the first precharge current threshold is greater than the second precharge current threshold. If the current data is greater than the first pre-charge current threshold, or if the current data is less than the second pre-charge current threshold, the pre-charge resistance of the battery management system is determined to be abnormal.

2. The apparatus of claim 1, wherein, The warning parameters also include a power response time threshold; when the data analysis module analyzes the voltage data and / or the current data according to the warning parameters to determine whether the power transfer status between the energy storage converter and the battery cluster is abnormal, it also includes: Receive a power switching command sent by the battery management system, the power switching command carrying the time when the battery management system sent the power switching command and the preset power to be switched by the energy storage converter; The time for the energy storage converter to switch its operating power to the preset power is determined based on the voltage data and the current data. Determine the time difference between the time when the battery management system sends the power switching command and the time when the energy storage converter switches its operating power to the preset power, and determine whether the time difference is greater than the power response time threshold. If the time difference is greater than the power response time threshold, the power response speed of the energy storage converter is determined to be abnormal.

3. The apparatus of claim 1, wherein, The battery management system is further configured to send power switching commands to the energy storage converter and the data analysis module, the commands instructing the energy storage converter to switch between active and reactive power; the warning parameters also include a power threshold; when the data analysis module analyzes the voltage data and / or the current data according to the warning parameters to determine whether the power transfer status between the energy storage converter and the battery cluster is abnormal, it further includes: After receiving the power switching command sent by the battery management system, the actual power of the energy storage converter is determined based on the voltage data and the current data, and it is determined whether the actual power is greater than the power threshold. If the actual power is greater than the power threshold, it is determined that there is an anomaly in the energy storage converter when it performs active power and reactive power conversion.

4. The apparatus of claim 1, wherein, The warning parameters also include a current short-circuit threshold; when the data analysis module analyzes the voltage data and / or the current data according to the warning parameters to determine whether the power transfer status between the energy storage converter and the battery cluster is abnormal, it includes: Determine whether the current data is greater than the current short-circuit threshold; If the current data is greater than the current short-circuit threshold, it is determined that the energy storage system has experienced a short circuit.

5. The apparatus according to claim 1, characterized in that, The warning parameters also include current fluctuation thresholds and voltage fluctuation thresholds; when the data analysis module analyzes the voltage data and / or the current data according to the warning parameters to determine whether the power transmission status between the energy storage converter and the battery cluster is abnormal, it further includes: Determine whether the current data is greater than the current fluctuation threshold, and / or whether the voltage data is greater than the voltage fluctuation threshold; If the current data is greater than the current fluctuation threshold, it is determined that the current fluctuation of the energy storage converter output is abnormal, and / or, if the voltage data is greater than the voltage fluctuation threshold, it is determined that the voltage fluctuation of the energy storage converter output is abnormal.

6. The apparatus according to any one of claims 1-5, characterized in that, The warning parameters also include data storage frequency; the device further includes: a local storage module for storing data sent by the data analysis module at the data storage frequency, the data including voltage data and / or current data from a first preset time before the power transmission status abnormality to a second preset time after the power transmission status abnormality.

7. A method for early warning of an energy storage system, characterized in that, Applied to the data analysis module, including: Receive early warning parameters set by the host computer; Obtain voltage and / or current data for the battery clusters; Based on the warning parameters, the voltage data and / or the current data are analyzed to determine whether the power transmission status between the energy storage converter and the battery cluster is abnormal. If the power transmission status is abnormal, a warning message is sent to the host computer; The battery management system includes a pre-charge relay, a pre-charge resistor, and a main relay. The pre-charge relay and the pre-charge resistor are connected in series, and the main relay is connected in parallel with the pre-charge relay and the pre-charge resistor. The warning parameters include a first pre-charge current threshold, a second pre-charge current threshold, a first preset time, and a second preset time. When the data analysis module analyzes the voltage data and / or the current data according to the warning parameters to determine whether the power transfer status between the energy storage converter and the battery cluster is abnormal, it includes: Receive the pre-charge relay closing command and the main relay closing command sent by the battery management system; The current data during the period from the first preset time before receiving the precharge relay closing command to the second preset time after receiving the main relay closing command is analyzed to determine whether the current data is greater than the first precharge current threshold or whether the current data is less than the second precharge current threshold, wherein the first precharge current threshold is greater than the second precharge current threshold. If the current data is greater than the first pre-charge current threshold, or if the current data is less than the second pre-charge current threshold, the pre-charge resistance of the battery management system is determined to be abnormal.

8. A battery management system, characterized in that, include: The early warning device for energy storage systems according to any one of claims 1-6.

9. An energy storage system, characterized in that, include: The battery management system, battery cluster, energy storage converter, fuse, and host computer as described in claim 8.

10. A data analysis device, characterized in that, include: The receiving module is used to receive the warning parameters set by the host computer; The acquisition module is used to acquire voltage and / or current data of the battery clusters; The determination module is used to analyze the voltage data and / or the current data according to the warning parameters to determine whether the power transmission status between the energy storage converter and the battery cluster is abnormal. The sending module is used to send a warning message to the host computer if the power transmission status is abnormal; The battery management system includes a pre-charge relay, a pre-charge resistor, and a main relay. The pre-charge relay and the pre-charge resistor are connected in series, and the main relay is connected in parallel with the pre-charge relay and the pre-charge resistor. The warning parameters include a first pre-charge current threshold, a second pre-charge current threshold, a first preset time, and a second preset time. The determination module is specifically used to receive the pre-charge relay closing command and the main relay closing command sent by the battery management system; analyze the current data within a first preset time before receiving the pre-charge relay closing command to a second preset time after receiving the main relay closing command, and determine whether the current data is greater than the first pre-charge current threshold or whether the current data is less than the second pre-charge current threshold, wherein the first pre-charge current threshold is greater than the second pre-charge current threshold. If the current data is greater than the first pre-charge current threshold, or if the current data is less than the second pre-charge current threshold, the pre-charge resistance of the battery management system is determined to be abnormal.

11. A data analysis device, comprising: A processor and a memory, wherein the memory stores code, and the processor executes the code stored in the memory to perform the energy storage system early warning method as described in claim 7.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the energy storage system early warning method as described in claim 7.

13. A computer program product comprising a computer program that, when executed by a processor, implements the energy storage system early warning method of claim 7.

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