Fault diagnosis and protection device for energy storage battery system
By designing data collection and analysis modules in the energy storage battery system, the voltage and temperature operation curves are compared in real time, the problems of slow fault diagnosis and data loss in the existing technology are solved, and rapid fault determination and accurate protection are achieved, which is improved. System stability and security.
Patent Information
- Application Number
- CN202310759574.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-06-26
- Publication Date
- 2024-12-27
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing energy storage battery system fault diagnosis method has relatively slow protection, poor speed and fault data are easily lost.
A fault diagnosis device including data collection module, data storage module, learning analysis module and fault diagnosis module was designed. By obtaining the historical operation data of the energy storage battery system, the voltage and temperature template curves are measured, and the actual operating curves are compared in real time. 模板曲线,判断电压和温度偏差,快速进行故障诊断并触发保护动作。
It improves the operating stability and safety of the energy storage battery system, and achieves more accurate fault determination through voltage and temperature curve comparison, avoiding the false triggering of protection measures caused by accidental abnormal data.
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Figure CN119199633A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of energy storage equipment, and in particular relates to a fault diagnosis and protection device for an energy storage battery system. Background Art
[0002] Energy storage battery systems store electrical energy in the form of chemical energy through batteries, and then convert chemical energy into electrical energy when external power is needed; energy storage battery systems are usually composed of hundreds or thousands of battery cells connected by complex electrical structures. Due to differences in production processes and usage conditions, there are inevitably inconsistencies in the performance and parameters of the cells. In addition, the inconsistent aging rates of the cells increase the performance differences between the cells, which in turn affects the maximum available capacity, charging efficiency, service life and safety of the battery pack; secondly, the large-scale battery pack makes the system's electrical and thermal dynamic behavior characteristics more complex, and also increases the probability of system failure.
[0003] At present, in order to timely discover and handle energy storage battery system faults, most energy storage battery systems are managed and controlled through battery management systems, which use fixed thresholds to diagnose faults and trigger protection actions. Although such fault diagnosis methods can protect the stable operation of the battery, the protection action is relatively slow, the speed is poor, and the fault data is easily lost. Summary of the invention
[0004] The object of the present invention is to provide a fault diagnosis and protection device for an energy storage battery system, which is used to solve the problems in the prior art that the fault diagnosis and protection action of the energy storage battery system is relatively slow, the speed is poor and the fault data is easily lost.
[0005] In order to achieve the above-mentioned object, the present invention provides a fault diagnosis device for an energy storage battery system, comprising a data collection module, a data storage module, a learning and analysis module and a fault diagnosis module;
[0006] The data collection module is used to obtain the operating parameters of the energy storage battery system according to the historical operating data of the energy storage battery system; the operating parameters of the energy storage battery system include voltage operating parameters and temperature operating parameters of the energy storage battery system;
[0007] The data storage module is used to store the energy storage battery system parameters acquired by the data collection module;
[0008] The learning and analysis module is used to determine the battery operating voltage and temperature template curve according to the energy storage battery system operating parameters stored in the data storage module;
[0009] The fault diagnosis module is used to perform fault judgment based on the actual voltage and temperature operating curve of the energy storage battery system and the voltage and temperature template curve and their deviations to obtain corresponding fault diagnosis results.
[0010] The beneficial effect of the above technical solution is: by obtaining the normal operating curve of the energy storage battery system and using the operating curve for coupling comparison, fault diagnosis can be quickly performed, the battery operation risk can be judged, and protective actions can be taken in time, thereby improving the operating stability and safety of the energy storage battery system.
[0011] Furthermore, the method of performing fault determination based on the actual voltage and temperature operating curve of the energy storage battery system and the voltage and temperature template curve and their deviations includes:
[0012] 1) Determine in real time whether the voltage deviation value exceeds the set voltage data deviation range. If the voltage deviation value exceeds the set voltage data deviation range, proceed to step 2); otherwise, continue to repeat step 1);
[0013] The voltage deviation value is the difference between the voltage of the actual voltage operation curve of the energy storage battery system and the corresponding voltage of the voltage template curve;
[0014] 2) If the difference between the actual current voltage value of the battery in the energy storage battery system and the average voltage value of the adjacent batteries of the battery is within the battery distribution deviation limit range, it is determined that the battery cell capacity is lost; otherwise, proceed to step 3);
[0015] 3) If it is determined that the current temperature deviation value does not exceed the set temperature data deviation range, proceed to step 4); otherwise, it is determined that there is a risk of thermal runaway failure;
[0016] The temperature deviation value is the difference between the temperature of the actual temperature operation curve of the energy storage battery system and the corresponding temperature of the temperature template curve;
[0017] 4) The sampling points corresponding to the actual voltage values whose difference with the mean voltage of the adjacent batteries is within the battery distribution deviation limit range are listed as data abnormal points, and the process returns to step 1) to continue monitoring.
[0018] The beneficial effects of the above technical solution are as follows: according to the corresponding fault possibilities, the comparison of voltage operation curves and the comparison of temperature operation curves are set, so that the fault diagnosis is more comprehensive, and thus the corresponding fault protection measures can be triggered more accurately; by combining the criterion for fault judgment through the comparison of voltage operation curves with the comparison results of temperature operation curves, abnormal voltage sampling data can also be discovered, avoiding the accidental abnormal voltage data that causes the fault protection measures to be falsely triggered.
[0019] Furthermore, the method of performing fault determination based on the actual voltage and temperature operating curve of the energy storage battery system and the voltage and temperature template curve and their deviations also includes:
[0020] a) Determine in real time whether the temperature deviation value exceeds the set temperature data deviation range, and set the temperature protection effective timer; if the temperature deviation value does not exceed the set temperature data deviation range, proceed to step b), otherwise, proceed to step c);
[0021] The temperature deviation value is the difference between the temperature of the actual temperature operation curve of the energy storage battery system and the corresponding temperature of the temperature template curve;
[0022] b) Reset the temperature protection effective timer and proceed to step a);
[0023] c) Determine the value of the temperature protection effective timing and the set temperature protection time limit value. If the value of the temperature protection effective timing and the set temperature protection time limit value are less than or equal to the set temperature protection time limit value, start the air conditioner, start the temperature protection effective timing, and continue with the judgment of step a); otherwise, determine that the air conditioning system refrigeration has failed.
[0024] The beneficial effects of the above technical solution are: according to the corresponding fault possibility, a criterion for fault judgment is set directly through the comparison of temperature operation curves, so that the fault diagnosis is more comprehensive, and thus the corresponding fault protection measures can be triggered more accurately; and the temperature protection effectiveness timing is introduced to avoid the accidental occurrence of abnormal temperature data causing the fault protection measures to be falsely triggered.
[0025] The present invention also provides an energy storage battery system protection device, including a data collection module, a data storage module, a learning and analysis module, a fault diagnosis module and a protection control module;
[0026] The data collection module is used to obtain the operating parameters of the energy storage battery system according to the historical operating data of the energy storage battery system; the operating parameters of the energy storage battery system include voltage operating parameters and temperature operating parameters of the energy storage battery system;
[0027] The data storage module is used to store the energy storage battery system parameters acquired by the data collection module;
[0028] The learning and analysis module is used to determine the battery operating voltage and temperature template curve according to the energy storage battery system operating parameters stored in the data storage module;
[0029] The fault diagnosis module is used to make fault judgments based on the actual voltage and temperature operating curve of the energy storage battery system and the voltage and temperature template curve and their deviations to obtain corresponding fault diagnosis results;
[0030] The protection control module is used to control the triggering of corresponding protection measures according to the fault diagnosis result of the fault diagnosis module.
[0031] The beneficial effects of the above technical solution are: by obtaining the normal operating curve of the energy storage battery system and then using the operating curve for coupling comparison, fault diagnosis can be quickly performed, battery operation risks can be judged, and protective actions can be taken in time to improve the operating stability and safety of the energy storage battery system.
[0032] Furthermore, the method of performing fault determination based on the actual voltage and temperature operating curve of the energy storage battery system and the voltage and temperature template curve and their deviations includes:
[0033] 1) Determine in real time whether the voltage deviation value exceeds the set voltage data deviation range. If the voltage deviation value exceeds the set voltage data deviation range, proceed to step 2); otherwise, continue to repeat step 1);
[0034] The voltage deviation value is the difference between the voltage of the actual voltage operation curve of the energy storage battery system and the corresponding voltage of the voltage template curve;
[0035] 2) If the difference between the actual current voltage value of the battery in the energy storage battery system and the average voltage value of the adjacent batteries of the battery is within the battery distribution deviation limit range, it is determined that the battery cell capacity is lost; otherwise, proceed to step 3);
[0036] 3) If it is determined that the current temperature deviation value does not exceed the set temperature data deviation range, proceed to step 4); otherwise, it is determined that there is a risk of thermal runaway failure;
[0037] The temperature deviation value is the difference between the temperature of the actual temperature operation curve of the energy storage battery system and the corresponding temperature of the temperature template curve;
[0038] 4) The sampling points corresponding to the actual voltage values whose difference with the mean voltage of the adjacent batteries is within the battery distribution deviation limit range are listed as data abnormal points, and the process returns to step 1) to continue monitoring.
[0039] The beneficial effects of the above technical solution are as follows: according to the corresponding fault possibilities, the comparison of voltage operation curves and the comparison of temperature operation curves are set, so that the fault diagnosis is more comprehensive, and thus the corresponding fault protection measures can be triggered more accurately; by combining the criterion for fault judgment through the comparison of voltage operation curves with the comparison results of temperature operation curves, abnormal voltage sampling data can also be discovered, avoiding the accidental abnormal voltage data that causes the fault protection measures to be falsely triggered.
[0040] Furthermore, the method of performing fault determination based on the actual voltage and temperature operating curve of the energy storage battery system and the voltage and temperature template curve and their deviations also includes:
[0041] a) Determine in real time whether the temperature deviation value exceeds the set temperature data deviation range, and set the temperature protection effective timer; if the temperature deviation value does not exceed the set temperature data deviation range, proceed to step b), otherwise, proceed to step c);
[0042] The temperature deviation value is the difference between the temperature of the actual temperature operation curve of the energy storage battery system and the corresponding temperature of the temperature template curve;
[0043] b) Reset the temperature protection effective timer and proceed to step a);
[0044] c) Determine the value of the temperature protection effective timing and the set temperature protection time limit value. If the value of the temperature protection effective timing and the set temperature protection time limit value are less than or equal to the set temperature protection time limit value, start the air conditioner, start the temperature protection effective timing, and continue with the judgment of step a); otherwise, determine that the air conditioning system refrigeration has failed.
[0045] The beneficial effects of the above technical solution are: according to the corresponding fault possibility, a criterion for fault judgment is set directly through the comparison of temperature operation curves, so that the fault diagnosis is more comprehensive, and thus the corresponding fault protection measures can be triggered more accurately; and the temperature protection effectiveness timing is introduced to avoid the accidental occurrence of abnormal temperature data causing the fault protection measures to be falsely triggered.
[0046] Furthermore, the method of controlling the triggering of corresponding protection measures according to the fault diagnosis result of the fault diagnosis module includes: when the fault diagnosis module determines that there is a risk of thermal runaway fault, controlling the energy storage battery system to shut down urgently and outputting a thermal runaway risk signal to the fire host.
[0047] Furthermore, the method of controlling the triggering of corresponding protection measures according to the fault diagnosis result of the fault diagnosis module includes: when the fault diagnosis module determines that the air-conditioning system refrigeration fails, controlling the energy storage battery system to shut down.
[0048] Furthermore, the method of controlling the triggering of corresponding protection measures according to the fault diagnosis result of the fault diagnosis module includes: when the fault diagnosis module determines that the battery cell capacity is depleted, controlling the energy storage battery system to shut down normally. BRIEF DESCRIPTION OF THE DRAWINGS
[0049] Figure 1 It is a structural schematic diagram of an energy storage battery system protection device in an embodiment of the energy storage battery system protection device of the present invention;
[0050] Figure 2 This is a working principle diagram of the energy storage battery system protection device in an embodiment of the energy storage battery system protection device of the present invention. DETAILED DESCRIPTION
[0051] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention is further described in detail below with reference to the accompanying drawings and embodiments.
[0052] Energy storage battery system protection device embodiment
[0053] This embodiment provides a technical solution for a protection device for an energy storage battery system. Figure 1 , the energy storage battery system protection device includes a data collection module, a data storage module, a learning and analysis module, a fault diagnosis module and a protection control module;
[0054] Among them, the data collection module is used to obtain the operating parameters of the energy storage battery system according to the historical operating data of the energy storage battery system; in this embodiment, the operating parameters of the energy storage battery system include the voltage operating parameters and temperature operating parameters of the energy storage battery system, such as the actual value of the voltage and the actual value of the temperature during the operation of the energy storage battery system;
[0055] The data storage module is used to store the energy storage battery system parameters acquired by the data collection module;
[0056] The learning and analysis module is used to determine the battery operating voltage and temperature template curve according to the energy storage battery system operating parameters stored in the data storage module;
[0057] The fault diagnosis module is used to make fault judgments based on the actual voltage and temperature operating curve of the energy storage battery system and the voltage and temperature template curve and their deviations, and obtain corresponding fault diagnosis results;
[0058] The protection control module is used to control the triggering of corresponding protection measures according to the fault diagnosis results of the fault diagnosis module.
[0059] In this embodiment, after determining the battery operating voltage and temperature template curve, the learning and analysis module also presets various setting ranges used as fault judgment criteria based on the average battery operating data, such as {U1} is the setting voltage data deviation range, and {U2} is the battery distribution offset limit range; and the learning and analysis module also corrects the preset values of each setting range based on multiple battery operating data; refer to Figure 2 The fault judgment method based on the actual voltage and temperature operation curve of the energy storage battery system and the voltage and temperature template curve and their deviation includes the following two aspects:
[0060] The first aspect is mainly based on the voltage operating parameters and related data of the energy storage battery system, and combined with the relevant data of the temperature operating parameters:
[0061] 1) Determine in real time whether the voltage deviation value △U exceeds the set voltage data deviation range {U1}. If the voltage deviation value exceeds the set voltage data deviation range, proceed to step 2); otherwise, that is, ΔU∈{U1}, continue to repeat step 1);
[0062] The voltage deviation value △U here is the difference between the voltage of the actual voltage operation curve of the energy storage battery system and the corresponding voltage of the voltage template curve;
[0063] 2) If the actual value of the current voltage of the battery in the energy storage battery system is U and the average value of the voltage of the adjacent batteries of the battery is U avg The difference is within the battery distribution offset limit {U2}, that is, (UU avg) ∈{U2}, it is determined that the battery cell capacity is depleted and the operation platform period is shortened, so the energy storage battery system is controlled to shut down normally, and the operation curve is recorded and stored as the historical operation data of the energy storage battery system, which is used to obtain the operation parameters of the energy storage battery system when the energy storage battery system is operated next time; otherwise, continue to step 3);
[0064] Among them, the average voltage of the adjacent batteries of a battery refers to the average value of the actual voltage values of each battery cell whose distance to the battery meets the set proximity distance condition, that is, the average value of the actual voltage values of each battery cell adjacent to the battery; the set proximity distance condition can be that the distance between the position of the battery is less than or less than or equal to a set threshold; or it can be directly connected in series with the battery, or connected in series with the battery and the number of other battery cells between the two does not exceed a set number, etc.
[0065] 3) If it is determined that the current temperature deviation value △T does not exceed the set temperature data deviation range {T1}, that is, △T∈{T1}, then proceed to step 4); otherwise, it is determined that there is a risk of thermal runaway failure;
[0066] The temperature deviation value △T here is the difference between the temperature of the actual temperature operation curve of the energy storage battery system and the corresponding temperature of the temperature template curve;
[0067] 4) The sampling point corresponding to the actual voltage value whose difference with the mean voltage of the adjacent battery is within the battery distribution offset limit range is listed as a data abnormal point, and return to step 1) to continue monitoring, and do not use this point as the only criterion for executing the emergency shutdown strategy.
[0068] The second aspect is mainly based on the temperature operating parameters and related data of the energy storage battery system:
[0069] a) Determine in real time whether the temperature deviation value exceeds the set temperature data deviation range {T1}, and set the temperature protection effective time t; if the temperature deviation value does not exceed the set temperature data deviation range, that is, △T∈{T1}, proceed to step b), otherwise, proceed to step c);
[0070] The temperature deviation value △T here is the difference between the temperature of the actual temperature operation curve of the energy storage battery system and the corresponding temperature of the temperature template curve;
[0071] b) Reset the temperature protection effective timer t and proceed to step a);
[0072] c) Determine the value of the temperature protection effective timing t and the set temperature protection time limit value t1. If the value of the temperature protection effective timing and the set temperature protection time limit value are less than or equal to the set temperature protection time limit value, that is, t≤t1, start the air conditioner, start the temperature protection effective timing, and continue with the judgment of step a); otherwise, determine that the air conditioning system refrigeration fails.
[0073] The above fault determination will obtain corresponding fault diagnosis results, such as the existence of thermal runaway fault risk and the determination of refrigeration failure of the air conditioning system; the protection control module controls the triggering of corresponding protection measures according to different fault diagnosis results, including:
[0074] When the fault diagnosis module determines that there is a risk of thermal runaway, the energy storage battery system is controlled to shut down urgently and a thermal runaway risk signal is output to the fire host; when the fault diagnosis module determines that the air conditioning system refrigeration fails, the energy storage battery system is controlled to shut down; when it is determined that the battery cell capacity is depleted, the energy storage battery system is controlled to shut down normally; refer to Figure 2 In this embodiment, the method of controlling the shutdown of the energy storage battery system is that the protection control module sends a corresponding trigger signal to the battery cluster circuit breaker of the energy storage battery system to control the battery cluster circuit breaker to disconnect, so as to complete the control of the shutdown of the energy storage battery system more quickly and timely.
[0075] It can be seen that the energy storage battery system protection device of this embodiment obtains the normal operating curve of the energy storage battery system and then uses the operating curve for coupling comparison to quickly determine the battery operation risk, perform protection actions in time, and improve the operation stability and safety of the energy storage battery system; and, for different fault possibilities, the comparison of the voltage operating curve and the comparison of the temperature operating curve are respectively set, so that the fault diagnosis is more comprehensive, and thus the corresponding fault protection measures can be triggered more accurately; in particular, the criterion for fault judgment by comparing the voltage operating curve is combined with the comparison result of the temperature operating curve, so that abnormal voltage sampling data can be found, and the fault protection measures can be prevented from being mistriggered due to the occasional abnormal voltage data; and the criterion for fault judgment directly by comparing the temperature operating curve introduces the temperature protection effective timing, which can also prevent the fault protection measures from being mistriggered due to the occasional abnormal temperature data.
[0076] A certain project is a 1MW / 2MWh user-side energy storage project, which includes a battery container energy storage system. Taking this project as an example, the specific working process of the energy storage battery system protection device is described as follows:
[0077] First, according to the battery characteristics and operation measurement results, {U1} = {-50mV, 50mV}, {U2} = {-400mV, 400mV}; {T1} = {-5℃, 5℃}, t1 = 180s; put the energy storage battery system into operation and monitor the battery voltage and temperature in real time;
[0078] When it is detected that the offset between the actual voltage operation curve and the voltage template curve (i.e., the voltage deviation value △U) does not belong to {U1}, the difference between the actual voltage value and the average voltage of the adjacent batteries is calculated; if the difference belongs to {U2}, the system is shut down normally; if it does not (usually greater than the upper limit of {U2}), it is necessary to check whether the temperature data offset (i.e., the temperature deviation value △T) exceeds the limit value {T1}; if it exceeds, a thermal runaway risk warning signal is output to the fire protection system, otherwise the voltage data at that point is judged to be abnormal.
[0079] Furthermore, when it is monitored that the offset between the actual temperature operation curve and the temperature template curve (i.e., the temperature deviation value △T) does not belong to {T1} and t≤t1, the air conditioner is started for cooling, and the temperature protection effective time t is recorded; when the temperature protection effective time t>t1, it is determined that the air conditioning system has failed in cooling, and the energy storage battery system is controlled to automatically stop operating.
[0080] Energy storage battery system fault diagnosis device embodiment
[0081] This embodiment provides a technical solution for a fault diagnosis device for an energy storage battery system, including a data collection module, a data storage module, a learning and analysis module, and a fault diagnosis module;
[0082] The data collection module is used to obtain the operating parameters of the energy storage battery system according to the historical operating data of the energy storage battery system; the operating parameters of the energy storage battery system include the voltage operating parameters and the temperature operating parameters of the energy storage battery system;
[0083] The data storage module is used to store the energy storage battery system parameters acquired by the data collection module;
[0084] The learning and analysis module is used to determine the battery operating voltage and temperature template curve according to the energy storage battery system operating parameters stored in the data storage module;
[0085] The fault diagnosis module is used to make fault judgments based on the actual voltage and temperature operating curve of the energy storage battery system and the voltage and temperature template curve and their deviations to obtain corresponding fault diagnosis results.
[0086] The difference between the energy storage battery system fault diagnosis device and the energy storage battery system protection device in the above-mentioned energy storage battery system protection device embodiment is that the energy storage battery system fault diagnosis device does not include a protection control module; since the composition, specific working principle and working process of the energy storage battery system fault diagnosis device of this embodiment have been described in detail in the above-mentioned energy storage battery system protection device embodiment, they will not be repeated here.
[0087] The present invention has the following characteristics:
[0088] ① By obtaining the normal operating curve of the energy storage battery system and then using the operating curve for coupling comparison, the battery operation risk can be quickly determined, and protective actions can be taken in time to improve the operating stability and safety of the energy storage battery system;
[0089] ② The comparison of voltage operation curve and temperature operation curve are set according to different fault possibilities, so that the fault diagnosis is more comprehensive, and thus the corresponding fault protection measures can be triggered more accurately; in particular, the fault judgment criterion through the comparison of voltage operation curve is combined with the comparison result of temperature operation curve, and abnormal voltage sampling data can be found to avoid the accidental abnormal voltage data causing the fault protection measures to be triggered incorrectly;
[0090] ③ The criterion for fault judgment directly through the comparison of temperature operation curves introduces the temperature protection effectiveness timing, which can also avoid the accidental abnormal temperature data causing the fault protection measures to be falsely triggered.
[0091] It should be understood that the above specific embodiments of the present invention are only used to illustrate or explain the principles of the present invention, but do not constitute a limitation to the present invention.
Claims
1. A fault diagnosis device for an energy storage battery system, characterized in that: It includes data collection module, data storage module, learning analysis module and fault diagnosis module; The data collection module is used to obtain the operating parameters of the energy storage battery system according to the historical operating data of the energy storage battery system; the operating parameters of the energy storage battery system include voltage operating parameters and temperature operating parameters of the energy storage battery system; The data storage module is used to store the energy storage battery system parameters acquired by the data collection module; The learning and analysis module is used to determine the battery operating voltage and temperature template curve according to the energy storage battery system operating parameters stored in the data storage module; The fault diagnosis module is used to perform fault judgment based on the actual voltage and temperature operating curve of the energy storage battery system and the voltage and temperature template curve and their deviations to obtain corresponding fault diagnosis results.
2. The energy storage battery system fault diagnosis device according to claim 1, characterized in that: The methods for fault determination based on the actual voltage and temperature operating curve of the energy storage battery system and the voltage and temperature template curve and their deviations include: 1) Determine in real time whether the voltage deviation value exceeds the set voltage data deviation range. If the voltage deviation value exceeds the set voltage data deviation range, proceed to step 2); otherwise, continue to repeat step 1); The voltage deviation value is the difference between the voltage of the actual voltage operation curve of the energy storage battery system and the corresponding voltage of the voltage template curve; 2) If the difference between the actual current voltage value of the battery in the energy storage battery system and the average voltage value of the adjacent batteries of the battery is within the battery distribution deviation limit range, it is determined that the battery cell capacity is lost; otherwise, proceed to step 3); 3) If it is determined that the current temperature deviation value does not exceed the set temperature data deviation range, proceed to step 4); otherwise, it is determined that there is a risk of thermal runaway failure; The temperature deviation value is the difference between the temperature of the actual temperature operation curve of the energy storage battery system and the corresponding temperature of the temperature template curve; 4) The sampling points corresponding to the actual voltage values whose difference with the mean voltage of the adjacent batteries is within the battery distribution deviation limit range are listed as data abnormal points, and the process returns to step 1) to continue monitoring.
3. The energy storage battery system fault diagnosis device according to claim 1 or 2, characterized in that: The fault determination method based on the actual voltage and temperature operating curve of the energy storage battery system and the voltage and temperature template curve and their deviation also includes: a) Determine in real time whether the temperature deviation value exceeds the set temperature data deviation range, and set the temperature protection effective timer; if the temperature deviation value does not exceed the set temperature data deviation range, proceed to step b), otherwise, proceed to step c); The temperature deviation value is the difference between the temperature of the actual temperature operation curve of the energy storage battery system and the corresponding temperature of the temperature template curve; b) Reset the temperature protection effective timer and proceed to step a); c) Determine the value of the temperature protection effective timing and the set temperature protection time limit value. If the value of the temperature protection effective timing and the set temperature protection time limit value are less than or equal to the set temperature protection time limit value, start the air conditioner, start the temperature protection effective timing, and continue with the judgment of step a); otherwise, determine that the air conditioning system refrigeration has failed.
4. A protection device for an energy storage battery system, characterized in that: It includes data collection module, data storage module, learning analysis module, fault diagnosis module and protection control module; The data collection module is used to obtain the operating parameters of the energy storage battery system according to the historical operating data of the energy storage battery system; the operating parameters of the energy storage battery system include voltage operating parameters and temperature operating parameters of the energy storage battery system; The data storage module is used to store the energy storage battery system parameters acquired by the data collection module; The learning and analysis module is used to determine the battery operating voltage and temperature template curve according to the energy storage battery system operating parameters stored in the data storage module; The fault diagnosis module is used to make fault judgments based on the actual voltage and temperature operating curve of the energy storage battery system and the voltage and temperature template curve and their deviations to obtain corresponding fault diagnosis results; The protection control module is used to control the triggering of corresponding protection measures according to the fault diagnosis result of the fault diagnosis module.
5. The energy storage battery system protection device according to claim 4, characterized in that: The methods for fault determination based on the actual voltage and temperature operating curve of the energy storage battery system and the voltage and temperature template curve and their deviations include: 1) Determine in real time whether the voltage deviation value exceeds the set voltage data deviation range. If the voltage deviation value exceeds the set voltage data deviation range, proceed to step 2); otherwise, continue to repeat step 1); The voltage deviation value is the difference between the voltage of the actual voltage operation curve of the energy storage battery system and the corresponding voltage of the voltage template curve; 2) If the difference between the actual current voltage value of the battery in the energy storage battery system and the average voltage value of the adjacent batteries of the battery is within the battery distribution deviation limit range, it is determined that the battery cell capacity is lost; otherwise, proceed to step 3); 3) If it is determined that the current temperature deviation value does not exceed the set temperature data deviation range, proceed to step 4); otherwise, it is determined that there is a risk of thermal runaway failure; The temperature deviation value is the difference between the temperature of the actual temperature operation curve of the energy storage battery system and the corresponding temperature of the temperature template curve; 4) The sampling points corresponding to the actual voltage values whose difference with the mean voltage of the adjacent batteries is within the battery distribution deviation limit range are listed as data abnormal points, and the process returns to step 1) to continue monitoring.
6. The energy storage battery system protection device according to claim 4 or 5, characterized in that: The fault determination method based on the actual voltage and temperature operating curve of the energy storage battery system and the voltage and temperature template curve and their deviation also includes: a) Determine in real time whether the temperature deviation value exceeds the set temperature data deviation range, and set the temperature protection effective timer; if the temperature deviation value does not exceed the set temperature data deviation range, proceed to step b), otherwise, proceed to step c); The temperature deviation value is the difference between the temperature of the actual temperature operation curve of the energy storage battery system and the corresponding temperature of the temperature template curve; b) Reset the temperature protection effective timer and proceed to step a); c) Determine the value of the temperature protection effective timing and the set temperature protection time limit value. If the value of the temperature protection effective timing and the set temperature protection time limit value are less than or equal to the set temperature protection time limit value, start the air conditioner, start the temperature protection effective timing, and continue with the judgment of step a); otherwise, determine that the air conditioning system refrigeration has failed.
7. The energy storage battery system protection device according to claim 5, characterized in that: The method of controlling the triggering of corresponding protection measures according to the fault diagnosis result of the fault diagnosis module includes: when the fault diagnosis module determines that there is a risk of thermal runaway fault, controlling the energy storage battery system to shut down urgently and outputting a thermal runaway risk signal to the fire host.
8. The energy storage battery system protection device according to claim 6, characterized in that: The method of controlling the triggering of corresponding protection measures according to the fault diagnosis result of the fault diagnosis module includes: when the fault diagnosis module determines that the air conditioning system refrigeration fails, controlling the energy storage battery system to shut down.
9. The energy storage battery system protection device according to claim 5, characterized in that: The method of controlling the triggering of corresponding protection measures according to the fault diagnosis result of the fault diagnosis module includes: when the fault diagnosis module determines that the battery cell capacity is depleted, controlling the energy storage battery system to shut down normally.
Citation Information
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