System test fault degree evaluation method for energy storage equipment

Abstract

The invention relates to a system test fault degree evaluation method for energy storage equipment. The method comprises the following steps: judging the fault degree of the energy storage equipment through an infrared thermal imaging technology; constructing a system test of the energy storage equipment through the detection platform according to the fault degree; test items contained in the system test are divided into a manual test and an automatic test according to test types, the manual test is a test item which is judged only by manpower, and the automatic test is a test item which needs to depend on a test instrument; and detecting the energy storage equipment according to a system test, and obtaining a fault degree evaluation result. According to the method, periodic detection is not needed, the detection object range is small, and the detection time is timely.

Description

Technical Field

[0001] The invention relates to a method for evaluating the degree of system test failure of an energy storage device, and belongs to the technical field of energy storage device failure detection. Background Art

[0002] Renewable energy plays an important role in environmental protection. With the increase in the amount of renewable energy connected to the grid, the uncertainty of its power generation has greatly affected the stable operation of the power grid. Equipping the power grid with energy storage has become an important way to solve this problem.

[0003] The safety of energy storage equipment has always been the most concerned issue in the field of energy storage. The existing technology usually ensures the safe and stable operation of energy storage equipment by regularly performing corresponding inspections on energy storage equipment. For example, the patent document with publication number CN115525461A discloses an abnormality detection method for energy storage equipment, which detects and repairs abnormalities of energy storage equipment based on battery status information, usage habit information and software operation information. Large energy storage equipment has a complex structure and is often composed of a large number of lower-level devices (such as multiple battery modules in series and parallel). When performing abnormality detection based on device information and software information, the energy storage equipment needs to be shut down, and then the suspicious devices are inspected one by one. Not only is the detection efficiency low, but it also greatly reduces the grid connection time of the energy storage equipment. Summary of the invention

[0004] In order to overcome the above problems, the present invention provides a detachable electromechanical mounting frame, which has a simple structure, is easy to disassemble, has replaceable components, and is suitable for installing electromechanical equipment of different specifications.

[0005] The technical solution of the present invention is as follows:

[0006] In a first aspect, a method for evaluating the degree of system test failure of an energy storage device comprises the following steps:

[0007] Determine the degree of failure of energy storage equipment through infrared thermal imaging technology;

[0008] Establishing a system test of the energy storage device through a detection platform according to the degree of the fault;

[0009] The test items included in the system test are divided into manual tests and automatic tests according to the test type, wherein the manual test is a test item that relies only on manual judgment, and the automatic test is a test item that relies on a test instrument;

[0010] The energy storage device is tested according to the system test, and a fault degree assessment result is obtained.

[0011] Furthermore, judging the degree of failure of the energy storage device by infrared thermal imaging technology includes the following steps:

[0012] Periodically collect infrared thermal imaging images of energy storage devices;

[0013] Dividing the energy storage device into a plurality of areas according to the infrared thermal imaging image;

[0014] Compare the current infrared thermal imaging image of the energy storage device with the historical infrared thermal imaging image to obtain the probability that each area of ​​the energy storage device is in a fault state;

[0015] The degree of failure of the energy storage device is determined based on the probability that each area of ​​the energy storage device is in a failure state.

[0016] Furthermore, the degree of failure of the energy storage device is determined according to the probability that each region of the energy storage device is in a failure state, including obtaining an abnormal state sequence of each region of the energy storage device:

[0017] Get area c is in abnormal state x j The probability coefficient θ xj :

[0018]

[0019] Among them, P xj The area is in abnormal state x j The probability of c,up is the probability that the region is in a normal state;

[0020] Arrange the probability coefficients of region c being in various abnormal states in descending order, and the abnormal state sequence of region c.

[0021] Furthermore, judging the degree of failure of the energy storage device according to the probability that each area of ​​the energy storage device is in a failure state also includes obtaining the probability P that each area of ​​the energy storage device is in a normal state. S1 :

[0022]

[0023] Where n is the number of regions of energy storage equipment;

[0024] Furthermore, judging the degree of failure of the energy storage device according to the probability that each area of ​​the energy storage device is in a failure state also includes obtaining the probability P of the energy storage device being in an i-th failure state. Si,m :

[0025]

[0026] Among them, X Si,m For S i,m The regional abnormal state set; S i,m Indicates that there are i regions in abnormal state.

[0027] Furthermore, judging the degree of failure of the energy storage device according to the probability that each area of ​​the energy storage device is in a failure state also includes sorting the i-level system states:

[0028] If S i,m and S i,l All are in the state of severe fault i. If S i,m Abnormal area status x d With S i,l Any abnormal state x in b If the following formula is satisfied and the abnormal states of other regions are the same, then S i,l For S i,m Adjacent system status:

[0029]

[0030] In the formula, c x,j For x j Area: C Si,m For S i,m The regional anomaly collection;

[0031] According to the probability P of the i-th serious fault state Si,m Arrange in descending order, and select the first m i-th system states: S i,1 , S i,2 ,…,S i,m ;

[0032] Status S i,m+1 is the system status D i,m The state with the highest probability in the set, D i,m For S i,1 , S i,2 ,…,S i,m The adjacent system states are removed from S i,1 , S i,2 ,…,S i,m A collection of:

[0033]

[0034] Among them, n Si is the number of i-th system states;

[0035] Based on the above formula, D i,m It can be written as D i,m-1 The expression is:

[0036]

[0037] Sort the i-level system states by sorting algorithm and select the top k system states S1, S2, ..., S k .

[0038] Furthermore, the i-level system states are sorted by a sorting algorithm, and the top k system states S1, S2, …, S k , including the following steps:

[0039] S1, let m = 1, then determine S i,1 , S i,1 It represents the state with the highest probability among the i-th fault, that is, the probability product of the abnormal area with the highest probability;

[0040] S2. Get S i,m The set of adjacent system states D Si,m ;

[0041] S3. Get D i,m ;

[0042] S4. Get S i,m+1 , where D i,m The first state in the state sequence is S i,m+1 ;

[0043] S5. Determine whether m+1 is greater than the required number, that is, whether m+1 is greater than the total number of permutations of the i-fold system states. If so, output the selected i-fold system states; otherwise, set m=m+1 and execute step S2.

[0044] Furthermore, a system test of the energy storage device is constructed through a detection platform according to the fault degree, specifically:

[0045] When the i-level system state exceeds a preset value, a system test is constructed, and the system test is constructed based on the equipment corresponding to each area of ​​the energy storage device.

[0046] In a second aspect, a computer-readable storage medium, when a computer program stored thereon is executed, implements the method for evaluating the degree of failure of a system test of an energy storage device as described in the first aspect, and evaluates the degree of failure of the energy storage device.

[0047] In a third aspect, a method for evaluating the degree of fault in a system test of an energy storage device comprises a storage unit and a computing unit. When a computer program stored in the storage unit is executed by the computing unit, the method for evaluating the degree of fault in a system test of an energy storage device as described in the first aspect is implemented to evaluate the degree of fault in the energy storage device.

[0048] The present invention has the following beneficial effects:

[0049] The present invention obtains the abnormal probability of each area of ​​the energy storage device through infrared thermal imaging images, and evaluates the fault degree of the energy storage estimation according to the abnormal probability. When the estimated value reaches the preset value, the system test is designed according to the equipment corresponding to the abnormal area, and the system is tested through manual and automatic tests to obtain accurate fault degree evaluation results. Compared with directly building tests and testing, this method does not require periodic testing, and the detection object range is small and the detection time is timely. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 is a flow chart of an embodiment of the present invention. DETAILED DESCRIPTION

[0051] The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0052] First, refer to Figure 1 , a method for evaluating the degree of fault in a system test of an energy storage device, comprising the following steps:

[0053] Determine the degree of failure of energy storage equipment through infrared thermal imaging technology;

[0054] Establishing a system test of the energy storage device through a detection platform according to the degree of the fault;

[0055] The test items included in the system test are divided into manual tests and automatic tests according to the test type, wherein the manual test is a test item that relies only on manual judgment, and the automatic test is a test item that relies on a test instrument;

[0056] The energy storage device is tested according to the system test, and a fault degree assessment result is obtained.

[0057] In one embodiment of the present invention, judging the degree of failure of the energy storage device by infrared thermal imaging technology includes the following steps:

[0058] Periodically collect infrared thermal imaging images of energy storage devices;

[0059] Dividing the energy storage device into a plurality of areas according to the infrared thermal imaging image;

[0060] Compare the current infrared thermal imaging image of the energy storage device with the historical infrared thermal imaging image to obtain the probability that each area of ​​the energy storage device is in a fault state;

[0061] The degree of failure of the energy storage device is determined based on the probability that each area of ​​the energy storage device is in a failure state.

[0062] In one embodiment of the present invention, judging the degree of failure of the energy storage device according to the probability that each region of the energy storage device is in a failure state includes obtaining an abnormal state sequence of each region of the energy storage device:

[0063] Get area c is in abnormal state x j The probability coefficient θ xj :

[0064]

[0065] Among them, P xj The area is in abnormal state x j The probability of c,up is the probability that the region is in a normal state;

[0066] Arrange the probability coefficients of region c being in various abnormal states in descending order, and the abnormal state sequence of region c.

[0067] In one embodiment of the present invention, the degree of failure of the energy storage device is determined according to the probability that each area of ​​the energy storage device is in a faulty state, and the probability P of each area of ​​the energy storage device being in a normal state is also obtained. S1 :

[0068]

[0069] Where n is the number of regions of energy storage equipment;

[0070] In one embodiment of the present invention, the failure degree of the energy storage device is determined according to the probability that each area of ​​the energy storage device is in a failure state, and the probability P of the energy storage device being in an i-th failure state is obtained. Si,m :

[0071]

[0072] Among them, X Si,m For S i,m The regional abnormal state set; S i,m Indicates that there are i regions in abnormal state.

[0073] In one embodiment of the present invention, judging the degree of failure of the energy storage device according to the probability that each area of ​​the energy storage device is in a failure state also includes sorting the i-level system states:

[0074] If S i,m and S i,l All are in the state of severe fault i. If S i,m Abnormal area status x d With S i,l Any abnormal state x in b If the following formula is satisfied and the abnormal states of other regions are the same, then Si,l For S i,m Adjacent system status:

[0075]

[0076] In the formula, c x,j For x j Area: C Si,m For S i,m The regional anomaly collection;

[0077] According to the probability P of the i-th serious fault state Si,m Arrange in descending order, and select the first m i-th system states: S i,1 , S i,2 ,…,S i,m ;

[0078] Status S i,m+1 is the system status D i,m The state with the highest probability in the set, D i,m For S i,1 , S i,2 ,…,S i,m The adjacent system states are removed from S i,1 , S i,2 ,…,S i,m A collection of:

[0079]

[0080] Among them, n Si is the number of i-th system states;

[0081] Based on the above formula, D i,m It can be written as D i,m-1 The expression is:

[0082]

[0083] Sort the i-level system states by sorting algorithm and select the top k system states S1, S2, ..., S k .

[0084] In one embodiment of the present invention, the i-level system states are sorted by a sorting algorithm, and the top k system states S1, S2, ..., S k , including the following steps:

[0085] S1, let m = 1, then determine S i,1 , S i,1 It represents the state with the highest probability among the i-th fault, that is, the probability product of the abnormal area with the highest probability;

[0086] S2. Get Si,m The set of adjacent system states D Si,m ;

[0087] S3. Get D i,m ;

[0088] S4. Get S i,m+1 , where D i,m The first state in the state sequence is S i,m+1 ;

[0089] S5. Determine whether m+1 is greater than the required number, that is, whether m+1 is greater than the total number of permutations of the i-fold system states. If so, output the selected i-fold system states; otherwise, set m=m+1 and execute step S2.

[0090] In one embodiment of the present invention, a system test of the energy storage device is constructed through a detection platform according to the fault degree, specifically:

[0091] When the i-level system state exceeds a preset value, a system test is constructed, and the system test is constructed based on the equipment corresponding to each area of ​​the energy storage device.

[0092] In a second aspect, a computer-readable storage medium, when a computer program stored thereon is executed, implements the method for evaluating the degree of failure of a system test of an energy storage device as described in the first aspect, and evaluates the degree of failure of the energy storage device.

[0093] In a third aspect, a method for evaluating the degree of fault in a system test of an energy storage device comprises a storage unit and a computing unit. When a computer program stored in the storage unit is executed by the computing unit, the method for evaluating the degree of fault in a system test of an energy storage device as described in the first aspect is implemented to evaluate the degree of fault in the energy storage device.

[0094] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure made using the contents of the present invention's specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for evaluating the degree of system test failure of an energy storage device, characterized in that: The following steps are involved: Determine the degree of failure of energy storage equipment through infrared thermal imaging technology; Establishing a system test of the energy storage device through a detection platform according to the degree of the fault; The test items included in the system test are divided into manual tests and automatic tests according to the test type, wherein the manual test is a test item that relies only on manual judgment, and the automatic test is a test item that relies on a test instrument; The energy storage device is tested according to the system test, and a fault degree assessment result is obtained.

2. The method for evaluating the degree of system test failure of energy storage equipment according to claim 1, characterized in that: Using infrared thermal imaging technology to determine the degree of failure of energy storage equipment includes the following steps: Periodically collect infrared thermal imaging images of energy storage devices; Dividing the energy storage device into a plurality of areas according to the infrared thermal imaging image; Compare the current infrared thermal imaging image of the energy storage device with the historical infrared thermal imaging image to obtain the probability that each area of ​​the energy storage device is in a fault state; The degree of failure of the energy storage device is determined based on the probability that each area of ​​the energy storage device is in a failure state.

3. The method for evaluating the degree of system test failure of energy storage equipment according to claim 2, characterized in that: The failure degree of the energy storage device is determined according to the probability that each area of ​​the energy storage device is in a failure state, including obtaining the abnormal state sequence of each area of ​​the energy storage device: Get area c is in abnormal state x j The probability coefficient θ xj : Among them, P xj The area is in abnormal state x j The probability of c,up is the probability that the region is in a normal state; Arrange the probability coefficients of region c being in various abnormal states in descending order, and the abnormal state sequence of region c.

4. The method for evaluating the degree of system test failure of energy storage equipment according to claim 3, characterized in that: The failure degree of the energy storage device is determined based on the probability that each area of ​​the energy storage device is in a faulty state, and the probability P of each area of ​​the energy storage device being in a normal state is also obtained. S1 : Where n is the number of regions with energy storage equipment.

5. The method for evaluating the degree of system test failure of energy storage equipment according to claim 4, characterized in that: The failure degree of the energy storage device is determined based on the probability that each area of ​​the energy storage device is in a fault state, and the probability P of the energy storage device being in the i-th fault state is also obtained. Si,m : Among them, X Si,m For S i,m The regional abnormal state set; S i,m Indicates that there are i regions in abnormal state.

6. The method for evaluating the degree of system test failure of energy storage equipment according to claim 5, characterized in that: The failure degree of the energy storage device is judged according to the probability of each area of ​​the energy storage device being in a faulty state, and the i-level system states are sorted: If S i,m and S i,l All are in the state of severe fault i. If S i,m Abnormal area status x d With S i,l Any abnormal state x in b If the following formula is satisfied and the abnormal states of other regions are the same, then S i,l For S i,m Adjacent system status: In the formula, c x,j For x j Area: C Si,m For S i,m The regional anomaly collection; According to the probability P of the i-th serious fault state Si,m Arrange in descending order, and select the first m i-th system states: S i,1 , S i,2 ,…,S i,m ; Status S i,m+1 is the system status D i,m The state with the highest probability in the set, D i,m For S i,1 , S i,2 ,…,S i,m The adjacent system states are removed from S i,1 , S i,2 ,…,S i,m A collection of: Among them, n Si is the number of i-th system states; Based on the above formula, D i,m It can be written as D i,m-1 The expression is: Sort the i-level system states by sorting algorithm and select the top k system states S1, S2, ..., S k .

7. The method for evaluating the degree of system test failure of energy storage equipment according to claim 6, characterized in that: Sort the i-level system states by sorting algorithm and select the top k system states S1, S2, ..., S k , including the following steps: S1, let m = 1, then determine S i,1 , S i,1 It represents the state with the highest probability among the i-th fault, that is, the probability product of the abnormal area with the highest probability; S2. Get S i,m The set of adjacent system states D Si,m ; S3. Get D i,m ; S4. Get S i,m+1 , where D i,m The first state in the state sequence is S i,m+1 ; S5. Determine whether m+1 is greater than the required number, that is, whether m+1 is greater than the total number of permutations of the i-fold system states. If so, output the selected i-fold system states; otherwise, set m=m+1 and execute step S2.

8. The method for evaluating the degree of system test failure of energy storage equipment according to claim 7, characterized in that: According to the fault degree, a system test of the energy storage device is constructed through the detection platform, specifically: When the i-level system state exceeds a preset value, a system test is constructed, and the system test is constructed based on the equipment corresponding to each area of ​​the energy storage device.

9. A computer-readable storage medium, characterized in that: When the computer program stored thereon is executed, the method for evaluating the degree of fault in a system test of an energy storage device as described in any one of claims 1 to 8 is implemented to evaluate the degree of fault in the energy storage device.

10. A system test fault degree assessment of an energy storage device, comprising a storage unit and a calculation unit, characterized in that: When the computer program stored in the storage unit is executed by the computing unit, the method for evaluating the degree of fault in a system test of an energy storage device according to any one of claims 1 to 8 is implemented to evaluate the degree of fault in the energy storage device.

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