Information processing method, device and energy storage system

Abstract

The embodiment of the present invention discloses an information processing method, device and energy storage system, the method comprising: collecting status information of key components in the energy storage system; the status information comprises electrical parameters and usage data; performing status evaluation on the key components according to the collected status information combined with preset evaluation conditions to obtain status evaluation results reflecting the current status of the key components; performing corresponding processing on the key components according to the status evaluation results and preset processing strategies. Through the above method, the life of components in the system can be predicted, which is convenient for maintenance personnel to maintain the system in time, and the system can automatically handle faults after faults occur, thereby reducing operating costs and improving the safety of the system.

Description

Technical Field

[0001] The present invention relates to the field of high voltage power systems, and in particular to an information processing method, device and energy storage system. Background Art

[0002] Nowadays, subway is an important means of transportation, which brings a lot of convenience to people's travel. Due to the large passenger flow and long operation time of subway, the safety of subway needs to be paid special attention.

[0003] Modern subway system equipment requires real-time human monitoring. After the equipment reports a fault, maintenance personnel need to go to the site to restore it, which affects subway operations. Many faults are caused by sudden changes in the subway operating environment, power grid interference, other equipment failures causing equipment failures, sudden increases in passenger flow, and other sudden factors. In the face of these faults, the system does not have the function of self-recovery after the fault shutdown.

[0004] In addition, many devices in the subway system fail due to long-term aging of components. The system has no predictive ability for the decline in the aging characteristics of components, which makes it impossible for maintenance personnel to predict potential failures. They can only replace components of some equipment regularly, regardless of whether the components are good or bad. This will cause material waste, increase operating costs, and increase the workload of maintenance personnel. Summary of the invention

[0005] The embodiments of the present invention provide an information processing method, device and energy storage system, which can predict the life of components in the system and automatically handle the fault after a fault occurs in the system, thereby improving the safety of the system.

[0006] An information processing method is applied to an energy storage system, the method comprising:

[0007] Collecting status information of key components in the energy storage system; the status information includes electrical parameters and usage data;

[0008] Performing a status evaluation on the key component according to the collected status information in combination with preset evaluation conditions to obtain a status evaluation result reflecting the current status of the key component;

[0009] The key components are processed accordingly according to the status evaluation results and the preset processing strategy.

[0010] Optionally, in one of the embodiments, the key components include one or more of a contactor, a fuse, a reactor, a converter module, a battery module, and a power module.

[0011] Optionally, in one embodiment, the collecting of status information of key components in the energy storage system includes:

[0012] Collecting first voltage data, first current data and contactor switch data at both ends of the contactor;

[0013] Collecting second voltage data, second current data and fuse temperature data at both ends of the fuse;

[0014] Collecting heat sink temperature data in the converter module, and drawing a temperature curve according to the heat sink temperature data;

[0015] collecting third voltage data, third current data, and battery temperature data of the battery module, and collecting rotation data of the first fan in the battery module;

[0016] collecting third current data of the reactor and temperature data of the reactor;

[0017] The rotation data of the second fan in the power module is collected.

[0018] Optionally, in one embodiment, the performing status evaluation on the key component according to the collected status information in combination with preset evaluation conditions includes:

[0019] The service life of the contactor, fuse, and reactor is calculated based on the collected status information and preset evaluation conditions.

[0020] Optionally, in one embodiment, the method further includes:

[0021] According to the formula

[0022] L c =L 接触器 -∑A×I'-∑B×I”-∑C×I”'

[0023] Calculate the service life of the contactor; where L c Indicates the remaining switching times of the contactor, L 接触器 Indicates the number of contactor lifespans, I' indicates the current value when the contactor is closed, I" indicates the current value when the contactor is disconnected, I"' indicates the current value when the contactor is not fully closed, and A, B, and C respectively indicate the parameters of the contactor under different working conditions;

[0024] According to the formula

[0025] L f =L 熔断器 -D×∑T f ×t1-E×∑I f ×t2

[0026] Calculate the service life of the fuse; where L fIndicates the remaining service life of the fuse, L 熔断器 Indicates the service life of the fuse, T f It indicates the temperature value when the fuse exceeds the rated temperature, t1 indicates the duration when the fuse exceeds the rated temperature, I f It indicates the current value when the fuse exceeds the rated current, t2 indicates the duration when the fuse exceeds the rated current, and D and E respectively indicate the parameters of the fuse under different working conditions;

[0027] According to the formula

[0028] L i =L 电抗器 -F×∑T i ×t3-G×∑I i ×t4

[0029] Calculate the service life of the reactor; where L i Indicates the remaining service life of the fuse, L 电抗器 Indicates the service life of the reactor, T i It indicates the temperature value when the reactor exceeds the rated temperature, t3 indicates the duration when the reactor exceeds the rated temperature, I i It indicates the current value when the reactor exceeds the rated current, t4 indicates the duration when the reactor exceeds the rated current, and F and G indicate the parameters of the reactor under different working conditions.

[0030] Optionally, in one of the embodiments, the performing status evaluation on the key component according to the collected status information in combination with preset evaluation conditions further includes:

[0031] Fault judgment is performed on the converter module, reactor and battery module according to the collected status information and preset evaluation conditions.

[0032] Optionally, in one embodiment, the method further includes:

[0033] When a fault is judged on the converter module, the collected radiator temperature data of the converter module is compared with a preset radiator temperature threshold, and a fault is judged on the converter module according to the number of times the radiator temperature data exceeds the preset radiator temperature threshold and the ambient temperature parameter;

[0034] When a fault is judged on the reactor, the collected reactor temperature data of the reactor is compared with a preset reactor temperature threshold, and a fault is judged on the reactor according to the number of times the reactor temperature data exceeds the preset reactor temperature threshold;

[0035] When fault judgment is made on the battery module, the collected battery temperature data of the battery module is compared with a preset battery temperature threshold, the third voltage data is compared with a preset battery voltage threshold, the third current data is compared with a preset battery current threshold, and a fault judgment is made on the battery module based on the comparison result.

[0036] Optionally, in one embodiment, the performing corresponding processing on the key component according to the state evaluation result and a preset processing strategy includes:

[0037] The service life information of the key components is displayed through the energy storage system display module, and the service life information of the key components is remotely fed back through the communication module.

[0038] Optionally, in one of the embodiments, the performing corresponding processing on the key component according to the state evaluation result and the preset processing strategy further includes:

[0039] When it is determined that the key component fails, a corresponding system prompt message is issued according to the failure judgment result of the key component;

[0040] Generate a corresponding fault handling instruction according to the fault judgment result;

[0041] Execute the fault handling instruction to perform a fault repair operation on the key component; wherein the fault repair operation includes one or more of controlling the energy storage system to shut down, controlling the energy storage system to restart, and controlling the operating power of the key component.

[0042] An information processing device, applied to an energy storage system, comprising:

[0043] An information acquisition module, used to acquire status information of key components in the energy storage system; the status information includes electrical parameters and usage data;

[0044] A status evaluation module, used to perform status evaluation on the key component according to the collected status information combined with preset evaluation conditions, and obtain a status evaluation result reflecting the current status of the key component;

[0045] The information processing module is used to perform corresponding processing on the key components according to the status evaluation results and the preset processing strategy.

[0046] Implementing the embodiments of the present invention will have the following beneficial effects:

[0047] The above-mentioned information processing method, device and energy storage system collect the status information of key components in the energy storage system; the status information includes electrical parameters and usage data, and the status of the key components is evaluated according to the collected status information combined with preset evaluation conditions to obtain a status evaluation result reflecting the current status of the key components, and the key components are processed accordingly according to the status evaluation result and the preset processing strategy. Through the above-mentioned method, the life of the components in the system can be predicted, which is convenient for maintenance personnel to maintain the system in time, and the fault processing can be automatically performed after the system fails, which reduces the operating cost and improves the safety of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0049] in:

[0050] Figure 1 A schematic diagram of an application environment of an information processing method in an embodiment;

[0051] Figure 2 is a flowchart of an information processing method in an embodiment;

[0052] Figure 3 FIG. 4 is a structural block diagram of an information processing device in an embodiment. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0054] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by those skilled in the art to which the present application belongs. The terms used herein in the specification of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. It is understood that the terms "first", "second", etc. used in the present application may be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish a first element from another element. For example, without departing from the scope of the present application, a first application may be referred to as a second application, and similarly, a second application may be referred to as a first application. Both the first application and the second application are applications, but they are not the same application.

[0055] Figure 1 FIG. 1 is a schematic diagram of an application environment of an information processing method in an embodiment. The information processing method can be applied to an energy storage system, which can be a subway regenerative braking inverter feedback system, such as Figure 1 As shown, the energy storage system 100 includes a battery module 110, a converter module 120 and a grid-side control module 130. The battery module 110, the converter module 120 and the grid-side control module 130 are electrically connected in sequence. The grid-side control module 130 is used to connect to the grid, the converter module 120 is used to change the voltage characteristics of the system, and the battery module 110 is used to store energy or release energy.

[0056] Specifically, the subway regenerative braking inverter feedback system can feed back the train braking energy to the pressure network through inverter. Multiple sampling monitoring points are set on the equipment of the system to collect status information of each device in the system, such as electrical parameters and usage data. The status of the equipment in the system is evaluated based on the collected status information and preset evaluation conditions, and the equipment in the system is processed accordingly based on the status evaluation results and preset processing strategies.

[0057] The information processing method provided in this embodiment can monitor the operation status of the equipment in real time and save data information by adding sufficient sampling monitoring points to the equipment design of the system, transmit the operation information to the monitoring through the communication module, and predict the status and life of each component of the system. The prediction information can be transmitted to the maintenance personnel through remote communication to remind the maintenance personnel to replace the components in time.

[0058] like Figure 2 FIG. 1 is a flowchart of an information processing method in an embodiment. The information processing method in this embodiment is applied to Figure 1 The information processing method includes the following steps 202 to 206:

[0059] Step 202: Collect status information of key components in the energy storage system.

[0060] Among them, key components refer to components that play a key role in the energy storage system, and when the key components fail or are damaged, the system cannot operate normally. Specifically, the key components include but are not limited to contactors, fuses, reactors, converter modules, battery modules, power modules, and more specifically, grid-side input contactors, capacitor pre-charging contactors, capacitor discharge contactors, battery-side contactors, grid-side fuses, battery-side fuses, IGBT (Insulated Gate Bipolar Transistor, insulated gate bipolar transistor) modules, battery cells, auxiliary power supplies, power module fans, battery module fans, etc.

[0061] The status information includes electrical parameters and usage data, such as voltage data, current data, temperature data, switching times, auxiliary contact status, fan speed, etc. By adding sufficient sampling monitoring points to the system equipment design, the operation of the equipment can be monitored in real time, so that the system can handle the conditions of the key components in a timely manner and improve the system operation efficiency.

[0062] Step 204: Performing a status assessment on the key component according to the collected status information in combination with preset assessment conditions to obtain a status assessment result reflecting the current status of the key component.

[0063] The service life of the key components can be evaluated based on the collected status information combined with preset evaluation conditions. The service life refers to the period during which the component maintains safe working ability under the specified conditions of use. If the working condition of the component is relatively poor, the component will age prematurely, and continued use will pose a potential accident hazard. Therefore, by collecting the status information of key components to evaluate the service life of the key components, potential risks in the system can be discovered in advance, and the prediction information can be transmitted to maintenance personnel through the network to remind maintenance personnel to replace components in advance. Specifically, the service life of the contactor, fuse, and reactor can be counted based on the collected status information combined with preset evaluation conditions.

[0064] Furthermore, the current state of the key components can be judged for faults based on the collected state information combined with preset evaluation conditions, so that the system can handle the faulty components in a timely manner. Specifically, the converter module, reactor and battery module can be judged for faults based on the collected state information combined with preset evaluation conditions.

[0065] Step 206: Perform corresponding processing on the key component according to the status evaluation result and the preset processing strategy.

[0066] Specifically, after the status evaluation of the key components is completed, the service life information of the key components can be displayed through the energy storage system display module, and the service life information of the key components can be remotely fed back through the communication module.

[0067] Furthermore, when it is determined that the key component has a fault, a corresponding system prompt message is issued according to the fault judgment result of the key component, and a corresponding fault handling instruction is generated according to the fault judgment result, and the fault handling instruction is executed to perform a fault repair operation on the key component. For example, the energy storage system can be controlled to shut down, the energy storage system can be controlled to restart, and the operating power of the key component can be controlled.

[0068] Through the above processing strategies, different protection measures can be taken for various faults to reduce the impact of external interference on the equipment. After a fault occurs and the equipment stops working, the equipment can determine whether to restart based on its own data. The equipment has the ability to self-recover, and it can also shut down certain faulty units so as not to affect the overall operation.

[0069] The above information processing method collects the status information of the key components in the energy storage system; the status information includes electrical parameters and usage data, and performs status evaluation on the key components based on the collected status information combined with preset evaluation conditions to obtain a status evaluation result reflecting the current status of the key components, and performs corresponding processing on the key components based on the status evaluation result and the preset processing strategy. Through the above method, the life of the components in the system can be predicted, which is convenient for maintenance personnel to maintain the system in time, and the system can automatically handle faults after a fault occurs, thereby reducing operating costs and improving the safety of the system.

[0070] In a specific embodiment, in the process of collecting the status information of the key components in the energy storage system in step 202, the first voltage data, the first current data and the contactor switch data at both ends of the contactor can be collected, for example, the voltage at both ends of the grid-side input contactor, the capacitor pre-charging contactor, the capacitor discharge contactor, and the battery-side contactor, the current at the opening and closing times, the state of the auxiliary contacts, and the number of openings and closings are recorded to achieve life prediction of the contactor.

[0071] Furthermore, the second voltage data, the second current data and the fuse temperature data at both ends of the fuse can be collected, for example, the voltage at both ends of the grid-side fuse and the battery-side fuse, the current flowing through the fuse, the fuse temperature and other data can be collected to realize the life prediction of the fuse.

[0072] Furthermore, the third current data of the reactor and the temperature data of the reactor are collected, for example, data such as the reactor core temperature, the reactor coil temperature and the reactor current are collected, so as to realize the life prediction of the reactor.

[0073] Furthermore, the heat sink temperature data in the converter module can be collected, and a temperature curve can be drawn based on the heat sink temperature data. For example, the heat sink temperature curve of the IGBT module can be collected, as well as the voltage, current and sudden current peak value data of the IGBT module to determine whether the converter module is overheated or faulty.

[0074] Furthermore, the third voltage data, the third current data and the battery temperature data of the battery module can be collected, and the rotation data of the first fan in the battery module can be collected, such as the battery cell temperature, the battery cell current, the battery cell voltage, the battery module fan speed and other data, to determine whether the battery module is over-temperature, over-voltage or over-current.

[0075] Furthermore, the rotation data of the second fan in the power module can be collected to realize fault judgment of the power module; the voltage data of the auxiliary power supply can be collected to judge whether the auxiliary voltage is abnormal, etc.

[0076] The information processing method provided in this embodiment can monitor the operation status of the equipment in real time by adding sufficient sampling monitoring points to the equipment design of the system, so that the system can handle the conditions of the key components in a timely manner and improve the system operation efficiency.

[0077] In a specific embodiment, the process of performing status evaluation on the key component according to the collected status information combined with preset evaluation conditions in step 204 may also include:

[0078] According to the formula

[0079] L c =L 接触器 -ΣA×I'-ΣB×I”-ΣC×I”'

[0080] Calculate the service life of the contactor; where L c Indicates the remaining switching times of the contactor, L 接触器Indicates the number of contactor lifespans, I' indicates the current value when the contactor is closed, I" indicates the current value when the contactor is disconnected, I"' indicates the current value when the contactor is not fully attracted and turned on, and A, B, and C respectively indicate the parameters of the contactor under different working conditions. Specifically, the service life of the contactor can be understood as: the number of switching times of the contactor provided by the manufacturer when no current flows through it (i.e., the total lifespan times), minus the cumulative product of the current multiplied by the A coefficient in the contactor closing interval (e.g., 10ms), minus the cumulative product of the current multiplied by the B coefficient in the contactor disconnection interval (e.g., 10ms), minus the cumulative product of the current multiplied by the C coefficient in the preset interval (e.g., 10ms) after the contactor is closed due to undervoltage of the drive coil or the closing time is greater than the preset closing time (e.g., 200ms).

[0081] Furthermore, we can also use the formula

[0082] L f =L 熔断器 -D×ΣT f ×t1-E×∑I f ×t2

[0083] Calculate the service life of the fuse; where L f Indicates the remaining service life of the fuse, L 熔断器 Indicates the service life of the fuse, T f It indicates the temperature value when the fuse exceeds the rated temperature, t1 indicates the duration when the fuse exceeds the rated temperature, I f Indicates the current value of the fuse exceeding the rated current, t2 indicates the duration of the fuse exceeding the rated current, and D and E respectively indicate the parameters of the fuse under different working conditions. Similarly, the service life of the fuse can be understood as: the total service life of the fuse, minus the product of the temperature value of the fuse exceeding the rated value multiplied by the duration multiplied by the D coefficient, and then minus the product of the current value of the fuse exceeding the rated current multiplied by the duration multiplied by the E coefficient.

[0084] Furthermore, we can also use the formula

[0085] L i =L 电抗器 -F×∑T i ×t3-G×∑I i ×t4

[0086] Calculate the service life of the reactor; where L i Indicates the remaining service life of the fuse, L 电抗器 Indicates the service life of the reactor, T i It indicates the temperature value when the reactor exceeds the rated temperature, t3 indicates the duration when the reactor exceeds the rated temperature, I iIndicates the current value of the reactor exceeding the rated current, t4 indicates the duration of the reactor exceeding the rated current, and F and G respectively indicate the parameters of the reactor under different working conditions. Similarly, the service life of the reactor can be understood as: the total service life of the reactor, minus the accumulation of the product of the temperature of the magnetic core multiplied by the duration of use of the reactor multiplied by the F coefficient, and then minus the accumulation of the current value of the reactor exceeding the rated current multiplied by the duration multiplied by the G coefficient.

[0087] The information processing method provided in this embodiment collects the status information of key components to evaluate the service life of the key components, so as to discover potential risks in the system in advance, transmit the prediction information to maintenance personnel through the network, and remind the maintenance personnel to replace components in advance.

[0088] In a specific embodiment, the process of performing status evaluation on the key component according to the collected status information combined with preset evaluation conditions in step 204 may also include:

[0089] When fault diagnosis is performed on the converter module, the collected radiator temperature data of the converter module is compared with a preset radiator temperature threshold, and fault diagnosis is performed on the converter module based on the number of times the radiator temperature data exceeds the preset radiator temperature threshold and the ambient temperature parameters.

[0090] Specifically, as an example, when the inverter module overheats more than twice on a given day, and the rated working time of the inverter module on that day is less than or equal to 1.5 times the normal working time, and the fan of the inverter module is in normal rotation, and the ambient temperature is not more than 10 degrees higher than the normal temperature, the system sends a prompt message of "Replace the dust screen". Optionally, when the inverter module overheats more than 5 times on a given day, and the ambient temperature is less than 40 degrees, the system sends a prompt message of "Sampling point failure" and executes the shutdown without restarting. Optionally, when the ambient temperature is greater than 40 degrees, the system sends a prompt message of "Check the ventilation and air conditioning in the equipment room". Optionally, the system can also execute a restart operation after the temperature signal is cleared.

[0091] Optionally, when an IGBT module in the converter module fails, the following operations may be performed:

[0092] In the system standby state, slowly turn on the faulty IGBT, if it is normal, proceed to the next step; further, under the rated working conditions of the system, give the faulty tube 30% power, if it is normal, proceed to the next step; further, under the rated working conditions of the system, give the faulty tube 50% power, if it is normal, proceed to the next step; further, under the rated working conditions of the system, give the faulty tube 70% power, if it is normal, proceed to the next step; further, let the switch tube resume work. Among them, if any of the above steps fails again, the system will execute the operation of shutting down the IGBT module and prompt the maintenance personnel to handle it on site.

[0093] When the reactor is fault-diagnosed, the collected reactor temperature data of the reactor is compared with the preset reactor temperature threshold, and the reactor is fault-diagnosed according to the number of times the reactor temperature data exceeds the preset reactor temperature threshold. Optionally, if the reactor is overheated more than 5 times on the same day, the system sends a prompt message of "sampling point failure" and executes the operation of shutting down without restarting. Optionally, the system can also execute the restart operation after the temperature signal is cleared.

[0094] When the battery module is judged to have a fault, the collected battery temperature data of the battery module is compared with the preset battery temperature threshold, the third voltage data is compared with the preset battery voltage threshold, the third current data is compared with the preset battery current threshold, and the battery module is judged to have a fault based on the comparison result. Optionally, when it is judged that the battery cell is over-temperature, if the system ambient temperature is greater than 40 degrees, the system performs a power reduction operation; if the system ambient temperature is less than 40 degrees and the fan speed is normal, the system does not perform any operation. When it is judged that the battery cell is over-current, the system is temporarily shut down and restarted after the fault is recovered. If the number of faults exceeds 3 times on the same day, the battery cabinet where the cell is located is controlled to be out of the system and wait for maintenance. When it is judged that the battery cell is over-voltage, if a second-level warning occurs, the system reduces power, and if a first-level warning occurs, the system is temporarily shut down.

[0095] Optionally, when the power module fan speed is low and the battery module fan speed is low, if the system control power is normal, a prompt is given to replace the fan and confirm the speed again, and the service life of the fan is calculated according to the formula: fan life = rated service life - ∑ speed × operating time.

[0096] Optionally, when it is determined that the auxiliary power supply voltage is abnormal, the control system executes a shutdown operation.

[0097] The information processing method provided in this embodiment can take different protection measures for various faults, reduce the impact of external interference on the device, and after a fault occurs and the device stops functioning, the device can determine whether to restart based on its own data. The device has the ability to self-recover, and the device can also shut down certain faulty units so as not to affect the overall operation.

[0098] like Figure 3 As shown, in one embodiment, an information processing device is provided, which includes: an information collection module 310, a state evaluation module 320, and an information processing module 330.

[0099] The information acquisition module 310 is used to acquire status information of key components in the energy storage system; the status information includes electrical parameters and usage data.

[0100] The state evaluation module 320 is used to perform state evaluation on the key component according to the collected state information in combination with preset evaluation conditions, and obtain a state evaluation result reflecting the current state of the key component.

[0101] The information processing module 330 is used to perform corresponding processing on the key components according to the status evaluation results and the preset processing strategy.

[0102] The above-mentioned information processing device collects the status information of the key components in the energy storage system; the status information includes electrical parameters and usage data, and performs status evaluation on the key components based on the collected status information combined with preset evaluation conditions to obtain a status evaluation result reflecting the current status of the key components, and performs corresponding processing on the key components based on the status evaluation result and the preset processing strategy. Through the above-mentioned device, the life of the components in the system can be predicted, which is convenient for maintenance personnel to maintain the system in time, and the system can automatically handle faults after faults occur, thereby reducing operating costs and improving system safety.

[0103] An embodiment of the present application also provides an energy storage system, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the information processing method described in the above embodiments when executing the computer program.

[0104] The present application also provides a computer-readable storage medium, one or more non-volatile computer-readable storage media containing computer-executable instructions, which, when executed by one or more processors, enable the processors to execute the information processing methods described in the above embodiments.

[0105] The embodiment of the present application also provides a computer program product. A computer program product including instructions, when running on a computer, enables the computer to execute the information processing method described in the above embodiments.

[0106] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using a software program, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or a data center that includes one or more available media integrated. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive Solid State Disk (SSD)), etc.

[0107] The above disclosure is only the preferred embodiment of the present invention, which certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. An information processing method, applied to an energy storage system, characterized in that: The method comprises: Collecting status information of key components in the energy storage system; the key components include one or more of contactors, fuses, reactors, converter modules, battery modules and power modules, and the status information includes electrical parameters and usage data; Performing a status evaluation on the key component according to the collected status information in combination with preset evaluation conditions to obtain a status evaluation result reflecting the current status of the key component; Perform corresponding processing on the key components according to the status evaluation results and the preset processing strategy; According to the formula L c =L 接触器 -∑A×I'-∑B×I”-∑C×I”' Calculate the service life of the contactor; where L c Indicates the remaining switching times of the contactor, L 接触器 Indicates the number of contactor lifespans, I' indicates the current value when the contactor is closed, I" indicates the current value when the contactor is open, I"' indicates the current value when the contactor is not fully closed, A, B, and C indicate the parameters of the contactor under different working conditions respectively; According to the formula L f =L 熔断器 -D×∑T f ×t1-E×∑I f ×t2 Calculate the service life of the fuse; where L f Indicates the remaining service life of the fuse, L 熔断器 Indicates the service life of the fuse, T f It indicates the temperature value when the fuse exceeds the rated temperature, t1 indicates the duration when the fuse exceeds the rated temperature, I f It indicates the current value when the fuse exceeds the rated current, t2 indicates the duration when the fuse exceeds the rated current, and D and E respectively indicate the parameters of the fuse under different working conditions; According to the formula L i =L 电抗器 -F×∑T i ×t3-G×∑I i ×t4 Calculate the service life of the reactor; where L i Indicates the remaining service life of the fuse, L 电抗器 Indicates the service life of the reactor, T i It indicates the temperature value when the reactor exceeds the rated temperature, t3 indicates the duration when the reactor exceeds the rated temperature, I i It indicates the current value when the reactor exceeds the rated current, t4 indicates the duration when the reactor exceeds the rated current, and F and G indicate the parameters of the reactor under different working conditions.

2. The method according to claim 1, characterized in that The collecting of status information of key components in the energy storage system includes: Collecting first voltage data, first current data and contactor switch data at both ends of the contactor; Collecting second voltage data, second current data and fuse temperature data at both ends of the fuse; Collecting heat sink temperature data in the converter module, and drawing a temperature curve according to the heat sink temperature data; collecting third voltage data, third current data, and battery temperature data of the battery module, and collecting rotation data of the first fan in the battery module; collecting third current data of the reactor and temperature data of the reactor; The rotation data of the second fan in the power module is collected.

3. The method according to claim 2, characterized in that The step of performing status evaluation on the key component according to the collected status information in combination with preset evaluation conditions includes: The service life of the contactor, fuse, and reactor is calculated based on the collected status information and preset evaluation conditions.

4. The method according to claim 3, characterized in that The step of performing status evaluation on the key component according to the collected status information in combination with preset evaluation conditions further includes: Fault judgment is performed on the converter module, reactor and battery module according to the collected status information and preset evaluation conditions.

5. The method according to claim 4, characterized in that The method further comprises: When a fault is judged on the converter module, the collected radiator temperature data of the converter module is compared with a preset radiator temperature threshold, and a fault is judged on the converter module according to the number of times the radiator temperature data exceeds the preset radiator temperature threshold and the ambient temperature parameter; When a fault is judged on the reactor, the collected reactor temperature data of the reactor is compared with a preset reactor temperature threshold, and a fault is judged on the reactor according to the number of times the reactor temperature data exceeds the preset reactor temperature threshold; When fault judgment is made on the battery module, the collected battery temperature data of the battery module is compared with a preset battery temperature threshold, the third voltage data is compared with a preset battery voltage threshold, the third current data is compared with a preset battery current threshold, and a fault judgment is made on the battery module based on the comparison result.

6. The method according to claim 3, characterized in that The performing corresponding processing on the key component according to the status evaluation result and the preset processing strategy includes: The service life information of the key components is displayed through the energy storage system display module, and the service life information of the key components is remotely fed back through the communication module.

7. The method according to claim 4, characterized in that The performing corresponding processing on the key components according to the status evaluation result and the preset processing strategy also includes: When it is determined that the key component fails, a corresponding system prompt message is issued according to the failure judgment result of the key component; Generate a corresponding fault handling instruction according to the fault judgment result; Execute the fault handling instruction to perform a fault repair operation on the key component; wherein the fault repair operation includes one or more of controlling the energy storage system to shut down, controlling the energy storage system to restart, and controlling the operating power of the key component.

8. An information processing device, applied to an energy storage system, characterized in that: The device comprises: An information acquisition module, used to acquire status information of key components in the energy storage system; the key components include one or more of contactors, fuses, reactors, converter modules, battery modules and power modules, and the status information includes electrical parameters and usage data; A status evaluation module, used to perform status evaluation on the key component according to the collected status information combined with preset evaluation conditions, and obtain a status evaluation result reflecting the current status of the key component; An information processing module, used for performing corresponding processing on the key components according to the status evaluation results and a preset processing strategy; The state evaluation module is also used to calculate the state of the L c =L 接触器 -∑A×I'-∑B×I”-∑C×I”' Calculate the service life of the contactor; where L c Indicates the remaining switching times of the contactor, L 接触器 Indicates the number of contactor lifespans, I' indicates the current value when the contactor is closed, I" indicates the current value when the contactor is open, I"' indicates the current value when the contactor is not fully closed, A, B, and C indicate the parameters of the contactor under different working conditions respectively; According to the formula L f =L 熔断器 -D×∑T f ×t1-E×∑I f ×t2 Calculate the service life of the fuse; where L f Indicates the remaining service life of the fuse, L 熔断器 Indicates the service life of the fuse, T f It indicates the temperature value when the fuse exceeds the rated temperature, t1 indicates the duration when the fuse exceeds the rated temperature, I f It indicates the current value when the fuse exceeds the rated current, t2 indicates the duration when the fuse exceeds the rated current, and D and E respectively indicate the parameters of the fuse under different working conditions; According to the formula L i =L 电抗器 -F×∑T i ×t3-G×∑I i ×t4 Calculate the service life of the reactor; where L i Indicates the remaining service life of the fuse, L 电抗器 Indicates the service life of the reactor, T i It indicates the temperature value when the reactor exceeds the rated temperature, t3 indicates the duration when the reactor exceeds the rated temperature, I i It indicates the current value when the reactor exceeds the rated current, t4 indicates the duration when the reactor exceeds the rated current, and F and G indicate the parameters of the reactor under different working conditions.

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