A method, device and medium for monitoring the health status of energy storage batteries

Abstract

This specification discloses a method, device and medium for monitoring the health status of an energy storage battery, which relates to the technical field of energy storage battery monitoring and is used to improve monitoring efficiency and accuracy. The method includes: obtaining the topological structure of the energy storage battery in the energy storage power station, constructing an energy storage battery stack model, simulating and determining the parallel operation characteristics of each battery and its influencing factors. An adaptive CAN bus network is designed based on the influencing factors and the topological structure of the energy storage battery. The remote monitoring node of the CAN bus network receives the monitoring data of each energy storage battery under different monitoring items collected in real time through the controller node of the CAN bus network. Through the monitoring data and monitoring indicators, the priority weight of the controller node is dynamically adjusted to ensure that the key monitoring data reflecting the status information is transmitted to the remote monitoring node first, so as to comprehensively evaluate the health status of the energy storage battery through the monitoring data, thereby enhancing the operating safety and reliability of the energy storage power station.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage battery monitoring, and in particular to a method, device and medium for monitoring the health status of an energy storage battery. Background Art

[0002] With the rapid development of renewable energy storage batteries that can store electricity when electricity demand is low and release electricity when demand is high, the importance of energy storage systems as a key technology for balancing power supply and demand, improving energy efficiency and enhancing power grid stability has become increasingly prominent. Energy storage batteries are the core components of energy storage systems, used to store electricity when electricity demand is low and release electricity when demand is high. However, energy storage batteries will be affected by many factors during long-term use, including the degradation of internal battery materials, changes in external environmental conditions such as temperature and humidity, and the complexity of operating conditions. These factors will cause the battery performance to gradually decline and even cause failures. Therefore, real-time monitoring and evaluation of the health status of energy storage batteries, timely detection of potential problems and taking corresponding maintenance measures are of great significance to ensure the safe and stable operation of energy storage systems, extend battery life, and improve energy efficiency.

[0003] Traditional methods for monitoring the health status of energy storage batteries often rely on regular offline testing, such as battery capacity testing, battery internal resistance testing, open circuit voltage testing, and discharge testing. However, this offline testing method or simple judgment method based on fixed thresholds has problems such as low monitoring accuracy, slow response speed, and difficulty in fully reflecting the health status of the battery. It also requires manual assistance to build and adjust the test environment, resulting in high labor costs. In addition, the test results based on the preset sensor detection method are affected by many factors and can often only reflect one aspect of the battery, making it difficult to fully evaluate the health status of the battery. Summary of the invention

[0004] In order to solve the above technical problems, one or more embodiments of this specification provide a method, device and medium for monitoring the health status of an energy storage battery.

[0005] One or more embodiments of this specification adopt the following technical solutions:

[0006] One or more embodiments of this specification provide a method for monitoring the health status of an energy storage battery, the method comprising:

[0007] Obtaining an energy storage battery topology structure composed of energy storage batteries in the current energy storage power station, so as to establish an energy storage battery stack model based on the energy storage battery topology structure;

[0008] According to the energy storage battery stack model, the parallel operation characteristics of each of the energy storage batteries and the influencing factors corresponding to each parallel operation characteristic are simulated and determined; wherein the influencing factors include: performance influencing factors and environmental influencing factors;

[0009] According to the influencing factors corresponding to the parallel operation characteristics of each of the energy storage batteries and the energy storage battery topology structure, the CAN bus network corresponding to the current energy storage power station is determined; wherein the CAN bus network includes: a controller node and a remote monitoring node;

[0010] Sending the current monitoring project to the controller node through the remote monitoring node to obtain the monitoring data of the corresponding energy storage battery acquired in real time by each controller node based on the current monitoring project;

[0011] Based on the monitoring data of the corresponding energy storage battery and the monitoring indicators contained in the monitoring data, the priority weights corresponding to the controller nodes are adjusted to determine the sending order of the monitoring data of the controller nodes according to the priority weights, and send them to the remote monitoring node to obtain the health status of each energy storage battery in the current energy storage power station.

[0012] Optionally, in one or more embodiments of the present specification, obtaining the energy storage battery topology structure composed of the energy storage batteries in the current energy storage power station to establish the energy storage battery stack model based on the energy storage battery topology structure specifically includes:

[0013] According to the layout diagram of the current energy storage power station and the wiring diagram of each energy storage battery, a composite connection mode of each energy storage battery is determined according to the layout diagram and the wiring diagram; wherein the composite connection mode is a composite connection mode of series connection, parallel connection or series-parallel connection;

[0014] Based on the composite connection mode, the parallel relationship of each energy storage battery in the current energy storage power station is identified, and each energy storage battery in the current energy storage power station is partitioned based on the parallel relationship and preset index data to obtain energy storage battery modules corresponding to each parallel relationship; wherein the preset index data includes: battery stack capacity and battery stack power;

[0015] Determine a plurality of energy storage battery stacks corresponding to the current energy storage power station according to the battery components corresponding to each energy storage battery module; wherein the battery components include: a fluid structure, a circuit structure, and a control structure;

[0016] Determine the position information and structural information of each energy storage battery stack based on the layout diagram and the wiring diagram, and simulate the position information and structural information based on a preset tool to determine an initial digital twin model of each energy storage battery stack;

[0017] According to the technical specification information and actual operation information of each energy storage battery stack, the environmental parameters and reaction parameters of the initial digital twin model are set to obtain the energy storage battery stack model.

[0018] Optionally, in one or more embodiments of the present specification, according to the energy storage battery stack model, the parallel operation characteristics of each of the energy storage batteries and the influencing factors corresponding to each parallel operation characteristic are simulated and determined, specifically including:

[0019] Acquire similar energy storage power stations matching the layout diagram and the wiring diagram based on a preset database;

[0020] Determine the operating data of each working condition corresponding to the similar energy storage power stations, cluster the operating data of each working condition, and determine the data range of each parallel operation characteristic corresponding to each of the similar energy storage power stations based on the clustering result;

[0021] Determine relevant influencing factors corresponding to the parallel operation characteristics corresponding to the similar energy storage power stations based on the physical information and principle information corresponding to the parallel operation characteristics corresponding to the similar energy storage power stations;

[0022] According to the energy storage battery stack model, the current distribution and voltage distribution of each working condition are simulated, and the parallel operation characteristics of the energy storage batteries in the current energy storage power station are obtained by matching the simulation results with the data range of each parallel operation characteristic;

[0023] Based on the changes in the relevant influencing factors corresponding to the simulation results, the relevant influencing factors are screened to determine the influencing factors corresponding to the parallel operation characteristics of the energy storage batteries.

[0024] Optionally, in one or more embodiments of the present specification, determining the CAN bus network corresponding to the current energy storage power station according to the influencing factors corresponding to the parallel operation characteristics of each of the energy storage batteries and the energy storage battery topology structure specifically includes:

[0025] Acquire a monitoring device corresponding to an influencing factor corresponding to the parallel operation characteristics of each of the energy storage batteries, determine a first node of the CAN bus network according to an effective monitoring range of the monitoring device, and label the first node based on the monitoring items of the monitoring device to obtain a first node label;

[0026] Based on the energy storage battery topology and the historical monitoring information of the current energy storage power station, determine the fault frequency and fault level of each structure of the current energy storage power station, determine the second node of the CAN bus network according to the fault frequency and the fault level, and mark the second node according to the monitoring items of the historical monitoring information to obtain a second node label;

[0027] Summarizing the first node and the second node to determine an initial CAN bus topology structure corresponding to the CAN bus network;

[0028] Determine a to-be-screened node having the same monitoring item based on the first node label and the second node label, and determine whether the monitoring range corresponding to the to-be-screened node intersects based on the position of the to-be-screened node and the monitoring range of the device corresponding to the to-be-screened node;

[0029] If so, determine the ratio of the cross area of ​​the monitoring range to the monitoring range of the device corresponding to each of the nodes to be screened, filter the nodes to be screened, and determine the CAN bus topology structure corresponding to the CAN bus network.

[0030] Optionally, in one or more embodiments of the present specification, after determining the CAN bus network corresponding to the current energy storage power station according to the influencing factors corresponding to the parallel operation characteristics of each of the energy storage batteries and the energy storage battery topology, the method further includes:

[0031] According to the historical monitoring information and monitoring demand information of the current energy storage power station, the network parameters of the CAN bus network are customized and configured; wherein the network parameters include: baud rate, identifier, and data frame format;

[0032] Determine the total number of controller nodes based on the CAN bus topology structure, evenly divide the preset monitoring transmission time period of the current energy storage power station based on the total number, and determine the monitoring transmission sub-time period corresponding to each controller node;

[0033] Determine the monitoring item corresponding to each of the controller nodes based on the first node label or the second node label corresponding to the controller node;

[0034] Determine the fault distribution information of the monitoring item according to the historical monitoring information of the current energy storage power station and the historical monitoring information of similar energy storage power stations;

[0035] According to the fault frequency and the fault distribution information, the transmission weight of each controller node is determined, and the monitoring transmission order of each controller node is determined by allocating each monitoring transmission sub-time period based on the time sequence based on the transmission weight.

[0036] Optionally, in one or more embodiments of the present specification, the current monitoring project is sent to the controller node by the remote monitoring node to obtain the monitoring data of the corresponding energy storage battery obtained in real time by each controller node based on the current monitoring project, specifically including:

[0037] Determine whether the current time is in a preset monitoring transmission time period, and if so, send the current monitoring item to the controller node through the remote monitoring node;

[0038] Acquire monitoring data obtained by executing a preset monitoring process corresponding to the current monitoring item by the controller node;

[0039] Determine the collection time of the monitoring data to determine the historical monitoring data corresponding to the collection time in each of the controller nodes, and determine the difference data between the historical monitoring data and the monitoring data;

[0040] The controller node corresponding to the difference data is used as the controller node to be reported, and the monitoring data of the controller node to be reported is obtained;

[0041] If it is not in the preset monitoring transmission time period, the monitoring data collected in real time by the monitoring equipment of each controller node is determined.

[0042] Optionally, in one or more embodiments of the present specification, adjusting the priority weight corresponding to each of the controller nodes based on the monitoring data of the corresponding energy storage battery and the monitoring indicators included in the monitoring data specifically includes:

[0043] If it is in the preset monitoring transmission time period, adjusting the monitoring transmission order based on the number of difference data to be reported to each controller node and the value of each difference data, and determining the initial priority weight of the controller node;

[0044] Determine the monitoring index included in the monitoring data according to the monitoring items, and determine the priority weight of the controller node according to the number of overlaps between the monitoring index and the difference data;

[0045] If it is not in the preset monitoring transmission time period, the priority weight corresponding to each of the controller nodes is adjusted based on the value of the monitoring data exceeding the preset monitoring threshold and the collection time of the monitoring data.

[0046] Optionally, in one or more embodiments of the present specification, determining the order of sending the monitoring data of the controller node according to the priority weight and sending the data to the remote monitoring node to obtain the health status of each energy storage battery in the current energy storage power station specifically includes:

[0047] If it is in the preset monitoring transmission time period, then the message identifier of each controller node to be reported is set based on the priority weight; wherein the message identifier is used to determine the transmission priority of the message on the bus;

[0048] Uploading the monitoring data of each controller node to be reported to the remote monitoring node based on the message identifier, so that the remote monitoring node can determine the status information of the corresponding energy storage battery in real time according to the monitoring data;

[0049] If it is not in the preset monitoring transmission time period, determine whether the collection time of the monitoring data conflicts, and if not, report the monitoring data of the controller node to the remote monitoring node in real time to obtain the status information of the corresponding energy storage battery;

[0050] If there is a conflict, the monitoring data of the controller node will be reported to the remote monitoring node in sequence based on the priority weight to obtain the status information of the corresponding energy storage battery.

[0051] One or more embodiments of this specification provide a device for monitoring the health status of an energy storage battery, the device comprising:

[0052] at least one processor; and,

[0053] a memory communicatively connected to the at least one processor; wherein,

[0054] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to: execute any of the above-mentioned methods.

[0055] One or more embodiments of the present specification provide a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured to execute any of the above-described methods.

[0056] At least one of the above technical solutions adopted in the embodiments of this specification can achieve the following beneficial effects:

[0057] By obtaining the topological structure of the energy storage battery and establishing the energy storage battery stack model, the physical connection and electrical characteristics between the energy storage batteries can be accurately reflected. Subsequently, the parallel operation characteristics of each energy storage battery and its influencing factors are determined based on the stack model simulation, which helps to deeply understand the behavior of the battery pack under complex working conditions and determine the key monitoring range of the energy storage battery. The CAN bus network designed according to the parallel operation characteristics and the topological structure of the energy storage battery realizes efficient monitoring data communication between the controller node and the remote monitoring node, which helps to reduce the delay and packet loss rate of data transmission during the monitoring process and ensure the timeliness and accuracy of the data. In addition, through the comprehensive coverage of monitoring nodes and subsequent accurate fault warning mechanisms, the energy storage system can timely discover and handle potential problems and faults, effectively avoiding the expansion of faults and the occurrence of safety accidents. Adjusting the priority weight of the controller node based on the monitoring data and monitoring indicators, and determining the order of sending status information according to the weight can ensure that important status information can be transmitted to the remote monitoring node first, thereby avoiding the waste of communication resources. Finally, based on the acquisition of comprehensive detection data, comprehensive monitoring of the health status of the energy storage battery is realized, which significantly improves the accuracy and reliability of monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the technical solutions in the embodiments of this specification or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art description. Obviously, the drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. In the drawings:

[0059] Figure 1 A schematic diagram of a method for monitoring the health status of an energy storage battery provided in an embodiment of this specification;

[0060] Figure 2 A schematic diagram of a health status monitoring device for an energy storage battery provided in an embodiment of this specification;

[0061] Figure 3 A schematic diagram of the structure of a non-volatile storage medium provided in an embodiment of this specification. DETAILED DESCRIPTION

[0062] The embodiments of this specification provide a method, device and medium for monitoring the health status of an energy storage battery.

[0063] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0064] like Figure 1 As shown, the embodiment of this specification provides a flow chart of a method for monitoring the health status of an energy storage battery. Figure 1 It can be seen that in one or more embodiments of this specification, a method for monitoring the health status of an energy storage battery includes the following process:

[0065] S101: Acquire an energy storage battery topology structure composed of energy storage batteries in a current energy storage power station, so as to establish an energy storage battery stack model based on the energy storage battery topology structure.

[0066] The energy storage battery topology determines the connection mode, energy flow path and control strategy between battery groups. Different topologies will cause the energy storage system to exhibit different characteristics in terms of performance, efficiency, reliability and other aspects. Based on this, in order to solve the problems of low monitoring accuracy and slow response speed in the current offline periodic detection, the energy storage battery topology composed of each energy storage battery in the current energy storage power station will be obtained in the embodiment of this specification, so as to construct an energy storage battery stack model according to the connection mode, energy flow path and control strategy between battery groups contained in the energy storage battery topology. The stack model established according to the actual energy storage battery topology can more accurately reflect the actual operation of the energy storage system, and the stack model can be adjusted and expanded according to different energy storage battery topologies to adapt to energy storage systems of different scales and needs.

[0067] Specifically, in one or more embodiments of the present specification, obtaining the energy storage battery topology structure composed of the energy storage batteries in the current energy storage power station to establish the energy storage battery stack model based on the energy storage battery topology structure specifically includes the following processes:

[0068] In order to obtain the spatial distribution and arrangement of each energy storage battery group or single battery, and then determine the relative position relationship between the battery groups, as well as the possible physical connection paths and the specific role of the battery groups in the power station and the relationship between each other, so as to construct the energy storage battery stack model, the layout diagram of the current energy storage power station and the wiring diagram of each energy storage battery will be obtained in the embodiment of this specification, so as to determine the composite connection mode of each energy storage battery according to the layout diagram and the wiring diagram; wherein, it should be noted that the composite connection mode is a composite connection mode of series, parallel or series-parallel. Then, based on the composite connection mode, the parallel relationship of each energy storage battery in the current energy storage power station is identified, so that each energy storage battery in the current energy storage power station is partitioned according to the parallel relationship and the preset index data, and the energy storage battery module corresponding to each parallel relationship is obtained. Among them, it should be noted that the preset index data includes: stack capacity, stack power. The parallel relationship is identified by partitioning and the energy storage battery is partitioned according to the preset index data to form an energy storage battery module. This partitioning method not only simplifies the complexity of the energy storage power station, but also improves the manageability and maintainability of the system. When a problem occurs in a battery module, it is easier to locate the fault and improve the efficiency of subsequent maintenance.

[0069] Then, according to the battery components corresponding to each energy storage battery module, multiple energy storage battery stacks corresponding to the current energy storage power station are determined; wherein, it should be noted that the battery components include: fluid structure, circuit structure, and control structure. By considering the diversity of battery components, the model is closer to the actual situation and can more accurately reflect the performance and characteristics of the energy storage battery stack. Then, the location information and structural information of each energy storage battery stack are determined according to the layout diagram and the wiring diagram, and the location information and structural information are simulated based on the preset tool to determine the initial digital twin model of each energy storage battery stack. This process can verify and optimize the design scheme before actual deployment, reducing the risks and costs in actual deployment. At the same time, the simulation model can also be used for subsequent performance evaluation, fault prediction, and operation and maintenance management. Then, according to the technical specification information and actual operation information of the energy storage battery stack, the environmental parameters and reaction parameters of the initial digital twin model are set, so that the model can reflect the actual operation status of the energy storage battery stack in real time. This real-time and adaptability enable the model to better support the operation and maintenance management and optimization adjustment of the energy storage power station. Compared with the traditional design method, the process in the embodiment of this specification directly refers to the actual layout diagram and wiring diagram to build the model, which reduces the guesswork and trial and error in the design process and improves the design efficiency. It helps to avoid the problems of energy storage system shutdown caused by regular offline detection, low monitoring accuracy and slow response speed.

[0070] S102: According to the energy storage battery stack model, simulate and determine the parallel operation characteristics of each of the energy storage batteries and the influencing factors corresponding to each parallel operation characteristic; wherein the influencing factors include: performance influencing factors and environmental influencing factors.

[0071] There are many factors that affect energy storage batteries. Therefore, in order to realize comprehensive monitoring of energy storage batteries in a timely manner and improve the service life of energy storage batteries, and at the same time to improve the authenticity of the energy storage battery stack model, the reliability of the health status of each energy storage battery in the current energy storage power station reflected by the monitoring of the energy storage battery stack model is ensured. In the embodiment of this specification, the parallel operation characteristics of each energy storage battery and the influencing factors corresponding to each parallel operation characteristic will be simulated and determined according to the energy storage battery stack model. Among them, the influencing factors include: the performance influencing factors of the energy storage battery itself and the environmental influencing factors around the energy storage battery. Through simulation, we can deeply understand the operating characteristics of the energy storage battery during parallel operation, and determine the parallel operation characteristics of each energy storage battery and the influencing factors corresponding to each parallel operation characteristic, which is helpful to predict and evaluate the performance of the system under different working conditions, and also avoid the problem of offline detection consuming a lot of time and labor costs, and low adaptability to the scene.

[0072] Specifically, in one or more embodiments of the present specification, according to the energy storage battery stack model, the parallel operation characteristics of each energy storage battery and the influencing factors corresponding to each parallel operation characteristic are simulated and determined, specifically including the following process:

[0073] First, in order to improve accuracy by combining historical experience, similar energy storage power stations that match the layout diagram and wiring diagram are obtained according to the pre-set database. Then, the operating data of each operating condition corresponding to the similar energy storage power station is determined to perform cluster analysis on the operating data of each operating condition, so as to determine the data range of each parallel operation characteristic corresponding to each similar energy storage power station according to the clustering results. In this way, the operating data of similar energy storage power stations provides a reliable reference benchmark for the current power station, reducing the error problem caused by insufficient data or deviation of a single power station. Then, based on the physical information and principle information corresponding to each parallel operation characteristic, the relevant influencing factors corresponding to each parallel operation characteristic are determined. This process not only takes into account the physical information of the energy storage battery such as internal resistance and capacity, but also combines principle information such as circuit principle and control strategy, so as to more comprehensively analyze the influencing factors of the parallel operation characteristics. This helps to identify a variety of potential influencing factors and helps to guide subsequent monitoring and measurement. Then, according to the energy storage battery stack model, the current distribution and voltage distribution of each working condition are simulated, and the data range of each parallel operation characteristic corresponding to each similar energy storage power station is matched based on the simulation results, so as to obtain the parallel operation characteristics of the energy storage batteries in the current energy storage power station. Among them, it can be understood that the data range of each parallel operation characteristic corresponding to the similar energy storage power station is determined by clustering analysis of the operating data of each working condition. Through simulation and matching, these characteristics can be matched with the actual situation of the current energy storage power station, so that according to the changes of each relevant influencing factor corresponding to the simulation results, the relevant influencing factors are screened, so as to screen out the key factors affecting the parallel operation characteristics of the energy storage batteries in the energy storage power station as the influencing factors corresponding to each parallel operation characteristic. Based on the simulation results and the changes of the relevant influencing factors, the key factors affecting the parallel operation characteristics of the energy storage power station can be quickly screened out.

[0074] S103: Determine the CAN bus network corresponding to the current energy storage power station according to the influencing factors corresponding to the parallel operation characteristics of each of the energy storage batteries and the energy storage battery topology structure; wherein the CAN bus network includes: a controller node and a remote monitoring node.

[0075] The CAN bus network can tightly integrate the controller node with the remote monitoring node to achieve rapid data transmission. The CAN bus network adopts a differential signal transmission method, has strong anti-interference ability and error detection mechanism, and can ensure the accuracy and reliability of data transmission. Therefore, in the embodiment of this specification, the CAN bus network corresponding to the current energy storage power station is determined according to the influencing factors corresponding to each parallel operation characteristic and the energy storage battery topology structure, so as to obtain and transmit the monitoring data based on the CAN bus network in the future. Among them, it can be understood that the CAN bus network includes: a controller node and a remote monitoring node. In the energy storage power station, the real-time and accuracy of data transmission are crucial. In this process, the design of the CAN bus network helps to reduce the monitoring data transmission delay and packet loss rate during the monitoring process, and ensure the timeliness and accuracy of the data. In addition, different energy storage battery topologies require different CAN bus network configurations. By determining the CAN bus network according to the parallel operation characteristics and the energy storage battery topology structure, it can be ensured that the network topology matches the actual needs and improves the overall performance of the system.

[0076] Specifically, in one or more embodiments of the present specification, according to the influencing factors corresponding to each parallel operation feature and the energy storage battery topology structure, determining the CAN bus network corresponding to the current energy storage power station specifically includes the following process:

[0077] Acquire the monitoring device corresponding to the influencing factor corresponding to each parallel operation feature, so as to determine the first node of the CAN bus network according to the effective monitoring range of the monitoring device, and mark the first node based on the monitoring item of the monitoring device to obtain the first node label. Then, based on the energy storage battery topology structure and the historical monitoring information of the current energy storage power station, determine the fault frequency and fault level of each structure of the current energy storage power station, so as to determine the second node of the CAN bus network according to the fault frequency and fault level, and mark the second node according to the monitoring item of the historical monitoring information to obtain the second node label. Then, summarize the first node and the second node to determine the initial topology of the CAN bus corresponding to the CAN bus network. Determine the nodes to be screened with the same monitoring item according to the first node label and the second node label, and determine whether the monitoring range corresponding to the nodes to be screened intersects based on the position of the nodes to be screened and the monitoring range of the equipment corresponding to the nodes to be screened. If there is an intersection, determine the ratio of the intersection area of ​​the monitoring range to the monitoring range of the equipment corresponding to each node to be screened, and then filter the nodes to be screened based on the ratio to determine the CAN bus topology corresponding to the CAN bus network.

[0078] By obtaining the influencing factors and monitoring equipment corresponding to each parallel operation feature, the first node in the CAN bus network can be accurately determined and marked based on the monitoring items, thereby ensuring that each important link is effectively monitored. Combined with the energy storage battery topology and historical monitoring information, the node with high fault frequency and fault level is determined as the second node and marked as well. This ensures that the system fully covers potential fault points and improves the timeliness of fault warning and processing. Then, through cross-analysis and node filtering of the monitoring range, the repeated configuration of monitoring equipment and invalid overlap of the monitoring range can be avoided, thereby reducing resource waste and cost expenditure. The optimized CAN bus network topology can reduce data transmission delays and conflicts, improve the efficiency and reliability of data transmission, and thus improve the operating efficiency of the entire energy storage power station. Through comprehensive coverage of monitoring nodes and subsequent accurate fault warning mechanisms, it is helpful for the energy storage system to promptly discover and handle potential problems and faults, avoid fault expansion and safety accidents.

[0079] Further, in one or more embodiments of the present specification, after determining the CAN bus network corresponding to the current energy storage power station according to the influencing factors corresponding to each parallel operation feature and the energy storage battery topology structure, the method further includes:

[0080] According to the historical monitoring information and monitoring demand information of the current energy storage power station, the network parameters of the CAN bus network are customized. It should be noted that the network parameters include: baud rate, identifier, and data frame format. Then, the total number of controller nodes is determined based on the CAN bus topology, so that the preset monitoring transmission time period of the current energy storage power station is evenly divided according to the total number, and the monitoring transmission sub-time period corresponding to each controller node is determined. Based on the first node label or the second node label corresponding to the controller node, the monitoring item corresponding to each controller node is determined. The fault distribution information of the monitoring item is determined based on the historical monitoring information of the current energy storage power station and the historical monitoring information of similar energy storage power stations. Then, based on the fault frequency and fault distribution information, the transmission weight of each controller node is determined, so as to determine the allocation of each monitoring transmission sub-time period based on the time order based on the transmission weight, and determine the monitoring transmission order of each controller node.

[0081] According to the historical monitoring information and monitoring demand information of the current energy storage power station, the network parameters such as the baud rate, identifier and data frame format of the CAN bus network can be flexibly configured. This flexibility ensures that the network can adapt to different monitoring needs and environmental changes, and improves the adaptability and scalability of the system. Based on the total number of controller nodes determined by the CAN bus topology, the preset monitoring transmission time period of the current energy storage power station is evenly divided to avoid congestion and conflict in data transmission. At the same time, according to the importance and urgency of the monitoring items of the controller nodes, the monitoring transmission sub-time period is reasonably allocated to improve the efficiency of data transmission and the response speed of the system. By analyzing the historical monitoring information of the current energy storage power station and similar energy storage power stations, the fault frequency and fault distribution information of the monitoring items are determined. Based on this, the transmission weight is assigned to each controller node, which helps to ensure that important and urgent monitoring data can be transmitted first. By marking the first node label or the second node label for the controller node, it helps to facilitate the maintenance and troubleshooting of the system, and also improves the consistency and comparability of the data.

[0082] S104: Sending the current monitoring project to the controller node through the remote monitoring node to obtain the monitoring data of the corresponding energy storage battery obtained in real time by each controller node based on the current monitoring project.

[0083] After the CAN bus network corresponding to the current energy storage power station is determined based on the above step S103, the current monitoring project can be sent to the controller node through the remote monitoring node to obtain the monitoring data of the corresponding energy storage battery obtained in real time. In this process, the remote monitoring node can send the monitoring project to the controller node in real time, and the controller node can respond quickly and collect the monitoring data of the energy storage battery in real time. This immediacy ensures the timeliness and accuracy of the data, and helps to discover and deal with potential problems in a timely manner. Through the analysis of real-time monitoring data, the system can promptly discover abnormal conditions of the energy storage battery, such as overcharging, over-discharging, abnormal temperature, etc., and trigger the corresponding early warning mechanism to provide strong support for troubleshooting and preventive maintenance. The entire monitoring process is automated, and tasks such as the issuance of monitoring projects, data collection and transmission can be automatically completed without manual intervention, greatly reducing the workload of operation and maintenance personnel.

[0084] Specifically, in one or more embodiments of the present specification, the current monitoring project is sent to the controller node through the remote monitoring node to obtain the monitoring data of the corresponding energy storage battery obtained in real time by each controller node based on the current monitoring project, which specifically includes the following process:

[0085] First, determine whether the current time is in the preset monitoring transmission time period. If so, the current monitoring project is sent to the controller node through the remote monitoring node. At the same time, the preset monitoring process corresponding to the current monitoring project is executed by the controller node to obtain the monitoring data. Then determine the collection time of the monitoring data to determine the historical monitoring data corresponding to the collection time in each controller node, and determine the difference data between the historical monitoring data and the monitoring data. The controller node corresponding to the difference data is used as the controller node to be reported, and the monitoring data of the controller node to be reported is obtained. If it is not in the preset monitoring transmission time period, then the monitoring data collected in real time by the monitoring equipment of each controller node is determined. In addition, it should be noted that during the data transmission process, encryption and other security measures can be used to protect the security and privacy of the data to prevent data leakage and illegal access. At the same time, through regular data backup and recovery mechanisms, the security and reliability of the data can also be ensured.

[0086] By judging whether the current time is in the preset monitoring transmission time period, the monitoring items are issued and data is transmitted only in a specific time period, avoiding unnecessary data transmission, effectively reducing the occupation of network bandwidth and the processing pressure of controller nodes, and realizing the optimal use of resources. If it is not in the preset monitoring transmission time period, the monitoring data collected in real time by the monitoring equipment of each controller node is determined, and the process of autonomous monitoring of the monitoring equipment is realized, which helps to realize the combination of active reporting and remote monitoring node monitoring and reporting, and improve the comprehensiveness of monitoring. The controller nodes to be reported are determined based on the difference data, and the intelligent identification of key areas or abnormal situations is realized. This helps operation and maintenance personnel to quickly locate problems and take corresponding measures, improving the efficiency and accuracy of operation and maintenance. Only the monitoring data of the controller node corresponding to the difference data is reported, which reduces the amount of reported data and improves the efficiency and accuracy of data transmission.

[0087] S105: Based on the monitoring data of the corresponding energy storage battery and the monitoring indicators contained in the monitoring data, adjust the priority weight corresponding to each of the controller nodes, so as to determine the sending order of the monitoring data of the controller node according to the priority weight, and send it to the remote monitoring node to obtain the health status of each energy storage battery in the current energy storage power station.

[0088] After the monitoring data of the corresponding energy storage battery is acquired in real time according to the above step S104, in order to realize the monitoring of the health status of each energy storage battery in the current energy storage power station, the priority weight corresponding to each controller node is further adjusted based on the monitoring data of the corresponding energy storage battery and the monitoring indicators contained in the monitoring data in the embodiment of this specification. By adjusting the priority weight, the system can give priority to those monitoring data that have a greater impact on the health status of the energy storage battery, such as abnormal battery voltage, excessive current, high temperature and other key indicators. This helps to quickly identify potential problems and reduce fault handling time. Then, the order of sending the status information is determined according to the priority weight, and sent to the remote monitoring node to obtain the health status of each energy storage battery in the current energy storage power station. Based on this, under limited communication resources, by setting the priority weight, it can ensure that important data can be transmitted to the remote monitoring node first, avoiding the waste of communication resources. At the same time, this also helps to reduce the delay and packet loss rate of data transmission, and improve the reliability and efficiency of data transmission.

[0089] Specifically, in one or more embodiments of the present specification, based on the monitoring data of the corresponding energy storage battery and the monitoring indicators included in the monitoring data, the priority weight corresponding to each controller node is adjusted, which specifically includes the following process:

[0090] Based on the description of the monitoring data acquisition process for the preset monitoring transmission time period and the monitoring data acquisition process not in the preset monitoring transmission time period in the above step S104, when adjusting the priority weight corresponding to each controller node, if it is in the preset monitoring transmission time period, the monitoring transmission order is adjusted based on the number of difference data of each controller node to be reported and the value of each difference data, and the initial priority weight of the controller node is determined. By adjusting the monitoring transmission order based on the number of difference data of the controller node to be reported and the value of the difference data, the nodes with significant data changes can be quickly identified, so that the data of these nodes are processed preferentially. Then, the monitoring index contained in the monitoring data is determined according to the monitoring project, so as to determine the priority weight of the controller node according to the number of overlaps between the monitoring index and the difference data. The priority weight is further determined by the numerical value of the monitoring data exceeding the preset monitoring threshold and the acquisition time, which is helpful for giving priority to abnormal situations. For the active monitoring process that is not in the preset monitoring transmission time period, the priority weight corresponding to each controller node is adjusted based on the numerical value of the monitoring data exceeding the preset monitoring threshold and the acquisition time of the monitoring data. That is, for controller nodes that exceed preset monitoring thresholds more and have earlier collection times, higher priority weights are set to help the energy storage system promptly discover and handle potential problems to avoid fault expansion and ensure the stable operation of the energy storage power station.

[0091] Specifically, in one or more embodiments of this specification, the order of sending the status information is determined according to the priority weight, and sent to the remote monitoring node to obtain the health status of each energy storage battery in the current energy storage power station, specifically including:

[0092] First, if it is in the preset monitoring and transmission time period, it is necessary to set the message identifier of each controller node to be reported based on the priority weight determined in the above steps. It should be noted that the message identifier is used to determine the transmission priority of the message on the bus. By setting the message identifier of each controller node to be reported based on the priority weight, the transmission priority of each message on the bus can be clarified. This method ensures that key data can be processed with priority, reduces data transmission delays and congestion, and improves transmission efficiency. Then, based on the message identifier, the monitoring data of each controller node to be reported is uploaded to the remote monitoring node, so that the remote monitoring node can determine the status information of the corresponding energy storage battery in real time based on the monitoring data.

[0093] If it is not in the preset monitoring and transmission time period, then it is determined whether the collection time of the monitoring data conflicts. If not, the monitoring data of the controller node is reported to the remote monitoring node in real time to obtain the status information of the corresponding energy storage battery. If there is a time conflict, the monitoring data of the controller node is reported to the remote monitoring node in sequence based on the priority weight to obtain the status information of the corresponding energy storage battery. In the non-preset monitoring and transmission time period, when the collection time of the monitoring data may conflict, the process can be intelligently scheduled based on the priority weight to ensure that the monitoring data of the key controller nodes can be uploaded first. This method avoids conflicts and confusion in data collection and ensures the integrity and accuracy of the data. Through real-time uploading of monitoring data and intelligent scheduling based on priority weights, the remote monitoring node can obtain the status information of the energy storage battery more quickly and accurately. This provides strong data support for operation and maintenance personnel, enabling them to identify and handle problems more efficiently, improving the efficiency and quality of operation and maintenance.

[0094] like Figure 2 As shown, the present specification embodiment provides a schematic diagram of a healthy state monitoring device for an energy storage battery. Figure 2 It can be seen that in one or more embodiments of this specification, a battery health status monitoring device includes:

[0095] at least one processor; and,

[0096] a memory communicatively connected to the at least one processor; wherein,

[0097] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to: execute any of the above-mentioned methods.

[0098] like Figure 3 As shown, the present specification provides a schematic diagram of the structure of a non-volatile storage medium. Figure 3 It can be seen that in one or more embodiments of the present specification, a non-volatile storage medium stores computer-executable instructions, and the computer-executable instructions can: execute any of the methods described above.

[0099] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0100] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0101] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A method for monitoring the health status of an energy storage battery, characterized in that: The method comprises: Obtaining an energy storage battery topology structure composed of energy storage batteries in the current energy storage power station, so as to establish an energy storage battery stack model based on the energy storage battery topology structure; According to the energy storage battery stack model, the parallel operation characteristics of each of the energy storage batteries and the influencing factors corresponding to each parallel operation characteristic are simulated and determined; wherein the influencing factors include: performance influencing factors and environmental influencing factors; According to the influencing factors corresponding to the parallel operation characteristics of each of the energy storage batteries and the energy storage battery topology structure, the CAN bus network corresponding to the current energy storage power station is determined; wherein the CAN bus network includes: a controller node and a remote monitoring node; Sending the current monitoring project to the controller node through the remote monitoring node to obtain the monitoring data of the corresponding energy storage battery acquired in real time by each controller node based on the current monitoring project; Based on the monitoring data of the corresponding energy storage battery and the monitoring indicators contained in the monitoring data, the priority weights corresponding to the controller nodes are adjusted to determine the sending order of the monitoring data of the controller nodes according to the priority weights, and send them to the remote monitoring node to obtain the health status of each energy storage battery in the current energy storage power station.

2. A method for monitoring the health status of an energy storage battery according to claim 1, characterized in that: The obtaining of the energy storage battery topology structure composed of the energy storage batteries in the current energy storage power station to establish an energy storage battery stack model based on the energy storage battery topology structure specifically includes: According to the layout diagram of the current energy storage power station and the wiring diagram of each energy storage battery, a composite connection mode of each energy storage battery is determined according to the layout diagram and the wiring diagram; wherein the composite connection mode is a composite connection mode of series connection, parallel connection or series-parallel connection; Based on the composite connection mode, the parallel relationship of each energy storage battery in the current energy storage power station is identified, and each energy storage battery in the current energy storage power station is partitioned based on the parallel relationship and preset index data to obtain energy storage battery modules corresponding to each parallel relationship; wherein the preset index data includes: battery stack capacity and battery stack power; Determine a plurality of energy storage battery stacks corresponding to the current energy storage power station according to the battery components corresponding to each energy storage battery module; wherein the battery components include: a fluid structure, a circuit structure, and a control structure; Determine the position information and structural information of each energy storage battery stack based on the layout diagram and the wiring diagram, and simulate the position information and structural information based on a preset tool to determine an initial digital twin model of each energy storage battery stack; According to the technical specification information and actual operation information of each energy storage battery stack, the environmental parameters and reaction parameters of the initial digital twin model are set to obtain the energy storage battery stack model.

3. A method for monitoring the health status of an energy storage battery according to claim 2, characterized in that: According to the energy storage battery stack model, the parallel operation characteristics of each energy storage battery and the influencing factors corresponding to each parallel operation characteristic are simulated and determined, specifically including: Acquire similar energy storage power stations matching the layout diagram and the wiring diagram based on a preset database; Determine the operating data of each working condition corresponding to the similar energy storage power stations, cluster the operating data of each working condition, and determine the data range of each parallel operation characteristic corresponding to each of the similar energy storage power stations based on the clustering result; Determine relevant influencing factors corresponding to the parallel operation characteristics corresponding to the similar energy storage power stations based on the physical information and principle information corresponding to the parallel operation characteristics corresponding to the similar energy storage power stations; According to the energy storage battery stack model, the current distribution and voltage distribution of each working condition are simulated, and the parallel operation characteristics of the energy storage batteries in the current energy storage power station are obtained by matching the simulation results with the data range of each parallel operation characteristic; Based on the changes in the relevant influencing factors corresponding to the simulation results, the relevant influencing factors are screened to determine the influencing factors corresponding to the parallel operation characteristics of the energy storage batteries.

4. The method for monitoring the health status of an energy storage battery according to claim 1, characterized in that: Determining the CAN bus network corresponding to the current energy storage power station according to the influencing factors corresponding to the parallel operation characteristics of each of the energy storage batteries and the energy storage battery topology structure specifically includes: Acquire a monitoring device corresponding to an influencing factor corresponding to the parallel operation characteristics of each of the energy storage batteries, determine a first node of the CAN bus network according to an effective monitoring range of the monitoring device, and label the first node based on the monitoring items of the monitoring device to obtain a first node label; Based on the energy storage battery topology and the historical monitoring information of the current energy storage power station, determine the fault frequency and fault level of each structure of the current energy storage power station, determine the second node of the CAN bus network according to the fault frequency and the fault level, and mark the second node according to the monitoring items of the historical monitoring information to obtain a second node label; Summarizing the first node and the second node to determine an initial CAN bus topology structure corresponding to the CAN bus network; Determine a to-be-screened node having the same monitoring item based on the first node label and the second node label, and determine whether the monitoring range corresponding to the to-be-screened node intersects based on the position of the to-be-screened node and the monitoring range of the device corresponding to the to-be-screened node; If so, determine the ratio of the cross area of ​​the monitoring range to the monitoring range of the device corresponding to each of the nodes to be screened, filter the nodes to be screened, and determine the CAN bus topology structure corresponding to the CAN bus network.

5. A method for monitoring the health status of an energy storage battery according to claim 4, characterized in that: After determining the CAN bus network corresponding to the current energy storage power station according to the influencing factors corresponding to the parallel operation characteristics of each of the energy storage batteries and the energy storage battery topology, the method further includes: According to the historical monitoring information and monitoring demand information of the current energy storage power station, the network parameters of the CAN bus network are customized and configured; wherein the network parameters include: baud rate, identifier, and data frame format; Determine the total number of controller nodes based on the CAN bus topology structure, evenly divide the preset monitoring transmission time period of the current energy storage power station based on the total number, and determine the monitoring transmission sub-time period corresponding to each controller node; Determine the monitoring item corresponding to each of the controller nodes based on the first node label or the second node label corresponding to the controller node; Determine the fault distribution information of the monitoring item according to the historical monitoring information of the current energy storage power station and the historical monitoring information of similar energy storage power stations; According to the fault frequency and the fault distribution information, the transmission weight of each controller node is determined, and the monitoring transmission order of each controller node is determined by allocating each monitoring transmission sub-time period based on the time sequence based on the transmission weight.

6. The method for monitoring the health status of an energy storage battery according to claim 1, characterized in that: The current monitoring project is sent to the controller node through the remote monitoring node to obtain the monitoring data of the corresponding energy storage battery obtained in real time by each controller node based on the current monitoring project, specifically including: Determine whether the current time is in a preset monitoring transmission time period, and if so, send the current monitoring item to the controller node through the remote monitoring node; Acquire monitoring data obtained by executing a preset monitoring process corresponding to the current monitoring item by the controller node; Determine the collection time of the monitoring data to determine the historical monitoring data corresponding to the collection time in each of the controller nodes, and determine the difference data between the historical monitoring data and the monitoring data; The controller node corresponding to the difference data is used as the controller node to be reported, and the monitoring data of the controller node to be reported is obtained; If it is not in the preset monitoring transmission time period, the monitoring data collected in real time by the monitoring equipment of each controller node is determined.

7. A method for monitoring the health status of an energy storage battery according to claim 6, characterized in that: Based on the monitoring data of the corresponding energy storage battery and the monitoring indicators included in the monitoring data, the priority weight corresponding to each of the controller nodes is adjusted, specifically including: If it is in the preset monitoring transmission time period, adjusting the monitoring transmission order based on the number of difference data to be reported to each controller node and the value of each difference data, and determining the initial priority weight of the controller node; Determine the monitoring index included in the monitoring data according to the monitoring items, and determine the priority weight of the controller node according to the number of overlaps between the monitoring index and the difference data; If it is not in the preset monitoring transmission time period, the priority weight corresponding to each of the controller nodes is adjusted based on the value of the monitoring data exceeding the preset monitoring threshold and the collection time of the monitoring data.

8. The method for monitoring the health status of an energy storage battery according to claim 6, characterized in that: Determine the order of sending the monitoring data of the controller node according to the priority weight, and send it to the remote monitoring node to obtain the health status of each energy storage battery in the current energy storage power station, specifically including: If it is in the preset monitoring transmission time period, then the message identifier of each controller node to be reported is set based on the priority weight; wherein the message identifier is used to determine the transmission priority of the message on the bus; Uploading the monitoring data of each controller node to be reported to the remote monitoring node based on the message identifier, so that the remote monitoring node can determine the status information of the corresponding energy storage battery in real time according to the monitoring data; If it is not in the preset monitoring transmission time period, determine whether the collection time of the monitoring data conflicts, and if not, report the monitoring data of the controller node to the remote monitoring node in real time to obtain the status information of the corresponding energy storage battery; If there is a conflict, the monitoring data of the controller node will be reported to the remote monitoring node in sequence based on the priority weight to obtain the status information of the corresponding energy storage battery.

9. A health status monitoring device for an energy storage battery, characterized in that: The device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can: execute any of the methods described in claims 1-8.

10. A non-volatile storage medium storing computer executable instructions, characterized in that: The computer executable instructions can: execute the method described in any one of claims 1 to 8.

Images