CN114779104A - Energy storage system battery core sampling fault diagnosis method and energy storage system - Google Patents
Energy storage system battery core sampling fault diagnosis method and energy storage system Download PDFInfo
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- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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Abstract
The invention discloses a method for diagnosing a cell sampling fault of an energy storage system and the energy storage system, wherein the method for diagnosing the cell sampling fault of the energy storage system comprises the following steps: when the received cell sampling data is abnormal, acquiring performance parameter information of the abnormal cell and performance parameter information of a plurality of normal cells; and determining whether the battery core fault or the sampling fault exists according to the performance parameter information of the abnormal battery core and the plurality of normal battery cores. The invention can solve the problem that the conventional energy storage system cannot determine the reason of abnormal data acquired by sampling the single battery core.
Description
Technical Field
The invention relates to the technical field of energy storage systems, in particular to a battery core sampling fault diagnosis method of an energy storage system and the energy storage system.
Background
At present, an energy storage system basically adopts a three-level architecture, all cell data are acquired by means of a BMU (body mass unit), and the acquired abnormity directly causes misjudgment of a superior system and finally causes abnormal operation of the whole system. Meanwhile, the possible reasons for the abnormal data of the single battery core of the energy storage system are more, if the reason can not be determined to be the abnormal data acquired by sampling the single battery core, a large amount of time is consumed for troubleshooting the energy storage system, even the battery pack is required to be disassembled and tested step by step, and the after-sale maintenance difficulty is high and the time is long.
Disclosure of Invention
The invention mainly aims to provide a method for diagnosing a cell sampling fault of an energy storage system, and aims to solve the problem that the conventional energy storage system cannot determine the reason of abnormal data acquired by sampling a single cell.
In order to achieve the above object, the method for diagnosing sampling faults of a battery cell of an energy storage system provided by the invention comprises the following steps:
when the received cell sampling data is abnormal, acquiring performance parameter information of the abnormal cell and performance parameter information of a plurality of normal cells;
and determining whether the battery core fault or the sampling fault exists according to the performance parameter information of the abnormal battery core and the plurality of normal battery cores.
Optionally, the performance parameter information of a plurality of normal battery cells is a set of battery cell capacity values of each of the normal battery cells;
the performance parameter information of the abnormal battery cell is a set of battery cell capacity values obtained by each charge-discharge cycle when the abnormal battery cell is subjected to multiple charge-discharge cycles; and the cycle number of the charge-discharge cycle corresponds to the number of the normal electric cores.
Optionally, the step of determining, according to the performance parameter information of the abnormal electrical core and the plurality of normal electrical cores, whether the electrical core fault or the sampling fault includes:
calculating a difference value between a cell capacity value obtained by each charge-discharge cycle of the abnormal cell and a cell capacity value of the normal cell to obtain a plurality of groups of capacity difference values;
when one group of capacity difference values are smaller than a preset capacity difference value in the plurality of groups of capacity difference values, determining the group of capacity difference values as a sampling fault;
and determining the battery core fault when the plurality of groups of capacity difference values are all larger than or equal to the preset capacity difference value.
Optionally, after the step of determining that the battery cell has a fault when the plurality of sets of capacity difference values are all greater than or equal to the preset capacity difference value, the method for diagnosing a sampling fault of a battery cell of an energy storage system further includes:
obtaining working parameters of a plurality of normal battery cells and working parameters of the abnormal battery cells;
and determining the abnormal fault type of the battery cell according to the working parameters of the abnormal battery cell and the plurality of normal battery cells.
Optionally, the operating parameter includes a voltage change slope and a temperature change slope;
the step of determining the abnormal fault type of the battery cell according to the working parameters of the abnormal battery cell and the plurality of normal battery cells comprises:
determining whether the voltage change slope of the abnormal battery cell is abnormal or not according to the voltage change slopes of the plurality of normal battery cells and the voltage change slope of the abnormal battery cell;
determining whether the temperature change slope of the abnormal battery cell is abnormal or not according to the temperature change slopes of the plurality of normal battery cells and the temperature change slope of the abnormal battery cell;
and determining the abnormal fault type of the battery core according to the abnormity of the voltage change slope and the temperature change slope of the abnormal battery core.
Optionally, the step of determining whether the voltage change slope of the abnormal electric core is abnormal according to the voltage change slopes of the plurality of normal electric cores and the voltage change slope of the abnormal electric core specifically includes:
obtaining the voltage change slopes of a plurality of normal cells, performing average value calculation to obtain a voltage average change slope, and determining whether the voltage change slope of the abnormal cell is abnormal or not according to the voltage average change slope and the voltage change slope of the abnormal cell.
Optionally, the step of obtaining voltage change slopes of a plurality of normal battery cells and performing an average calculation to obtain a voltage average change slope, and determining whether the voltage change slope of the abnormal battery cell is abnormal according to the voltage average change slope and the voltage change slope of the abnormal battery cell includes:
calculating the difference between the average voltage change slope and the voltage change slope of the abnormal battery cell to obtain a voltage slope difference;
when the voltage slope difference value is out of a preset voltage slope difference value range, determining that the voltage change slope of the abnormal battery cell is abnormal;
and when the voltage slope difference value is within the range of the preset voltage slope difference value, determining that the voltage change slope of the abnormal battery cell is normal.
Optionally, the step of determining whether the temperature change slope of the abnormal battery cell is abnormal according to the temperature change slopes of the plurality of normal battery cells and the temperature change slope of the abnormal battery cell specifically includes:
and obtaining the temperature change slopes of a plurality of normal cells and carrying out average calculation to obtain the average temperature change slope, and determining whether the temperature change slope of the abnormal cell is abnormal or not according to the average temperature change slope and the temperature change slope of the abnormal cell.
Optionally, the step of obtaining temperature change slopes of a plurality of normal battery cells and performing an average calculation to obtain a temperature average change slope, and determining whether the temperature change slope of the abnormal battery cell is abnormal according to the temperature average change slope and the temperature change slope of the abnormal battery cell includes:
calculating the difference between the average temperature change slope and the temperature change slope of the abnormal battery cell to obtain the temperature slope difference;
when the temperature slope difference value is out of a preset temperature slope difference value range, determining that the temperature change slope of the abnormal battery cell is abnormal;
and when the temperature slope difference value is within the range of the preset temperature slope difference value, determining that the temperature change slope of the abnormal battery cell is normal.
Optionally, the step of determining, according to whether the voltage change slope and the temperature change slope of the abnormal battery cell are abnormal or not, a fault type of the battery cell that is abnormal specifically includes:
when the voltage change slope and the temperature change slope of the abnormal battery cell are both normal, determining the fault type of the battery cell abnormality as the non-permanent failure of the battery cell;
and when the voltage change slope of the abnormal battery cell is abnormal and/or the temperature change slope of the abnormal battery cell is abnormal, determining that the abnormal fault type of the battery cell is suspected to be permanent failure of the battery cell.
Optionally, after the step of determining that the abnormal fault type of the battery cell is a suspected battery cell permanent failure when the voltage change slope of the abnormal battery cell is abnormal and/or the temperature change slope of the abnormal battery cell is abnormal, the method for diagnosing a sampling fault of a battery cell of an energy storage system further includes:
obtaining open-circuit voltage values of a plurality of normal battery cells, and performing average value calculation to obtain an open-circuit average voltage value;
acquiring an open-circuit voltage value of the abnormal battery cell;
calculating the difference between the average open-circuit voltage value and the open-circuit voltage value of the abnormal cell to obtain an open-circuit voltage difference;
when the open-circuit voltage difference value is larger than or equal to the preset open-circuit voltage difference value, determining the abnormal fault type of the battery cell as the permanent failure of the battery cell;
and when the open circuit voltage difference value is smaller than the preset open circuit voltage difference value, determining the abnormal fault type of the battery cell as the non-permanent failure of the battery cell.
The invention also proposes an energy storage system comprising:
the battery cell sampling fault diagnosis program is stored in the memory; and the number of the first and second groups,
and when the battery core sampling fault diagnosis program is executed by the processor, the battery core sampling fault diagnosis method of the energy storage system is realized.
According to the technical scheme, when the abnormal cell sampling data is received, the performance parameter information of a plurality of normal cells and the performance parameter information of an abnormal cell are obtained, and then the fault type of the abnormal cell sampling data can be determined to be a cell fault or a sampling fault according to the performance parameter information of the abnormal cell and the performance parameter information of the plurality of normal cells. Therefore, in practical application, when the battery core sampling data of the energy storage system are abnormal, fault diagnosis can be performed on an abnormal battery core, and the fault type of the battery core sampling data abnormality can be obtained, so that a user can quickly determine the fault type, and the problem that the existing energy storage system can not determine the abnormal reason of the data acquired by sampling the single battery core is solved.
Drawings
In order to more clearly illustrate the embodiments or technical solutions of the present invention, the drawings used in the embodiments or technical solutions of the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Fig. 1 is a schematic flow chart of an embodiment of a method for diagnosing a sampling fault of a battery cell of an energy storage system according to the present invention;
fig. 2 is a detailed flowchart of an embodiment of a method for diagnosing a sampling fault of a battery cell of an energy storage system according to the present invention;
fig. 3 is a schematic detailed flow diagram of an embodiment of a method for diagnosing a sampling fault of a battery core of an energy storage system according to the present invention;
fig. 4 is a detailed flowchart of an embodiment of a method for diagnosing a sampling fault of a battery cell of an energy storage system according to the present invention;
fig. 5 is a detailed flowchart of an embodiment of a method for diagnosing a sampling fault of a battery cell of an energy storage system according to the present invention;
fig. 6 is a schematic detailed flow diagram of an embodiment of a method for diagnosing a sampling fault of a battery core of an energy storage system according to the present invention;
fig. 7 is a detailed flowchart of an embodiment of a method for diagnosing a sampling fault of a battery cell of an energy storage system according to the present invention;
fig. 8 is a schematic diagram of a hardware structure of an embodiment of an energy storage system according to the invention.
The implementation, functional features and advantages of the present invention will be further described with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
It should be noted that, if directional indications (such as up, down, left, right, front, and back … …) are involved in the embodiment of the present invention, the directional indications are only used for explaining the relative position relationship between the components, the motion situation, and the like under a certain posture (as shown in the drawing), and if the certain posture is changed, the directional indications are changed accordingly.
In addition, if there is a description of "first", "second", etc. in an embodiment of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
At present, most of the existing energy storage systems adopt a three-level system architecture, data of a battery cell are collected by means of a BMU (body mass unit), and the abnormal conditions collected by the BMU can directly cause misjudgment of a superior system and finally cause abnormal operation of the whole system. Meanwhile, the possible reasons for the abnormal single cell data of the energy storage system are more, for example, the cell is abnormal, the sampling chip is abnormal, the sampling terminal is abnormal, and the abnormal single cell data can cause the large SOC error of the energy storage system, so that the lowest and highest SOC differences become larger, the system cannot meet the requirements of full charge and discharge, cannot meet the system calibration capacity, and even can cause system failure and damage. Further, if it cannot be determined that the reason specifically causes the data abnormality of the single battery core, a large amount of time needs to be consumed to troubleshoot the energy storage system, and even the battery pack needs to be disassembled step by step for testing, so that the after-sale maintenance difficulty is high and the time is long.
In an embodiment of the present invention, referring to fig. 1, the method for diagnosing a sampling fault of a battery core of an energy storage system includes:
step S100, when the received cell sampling data is abnormal, acquiring performance parameter information of the abnormal cell and performance parameter information of a plurality of normal cells;
in this embodiment, a main control chip for performing fault diagnosis, such as an MCU, a DSP (Digital Signal processing) chip, an FPGA (Field Programmable Gate Array) chip, etc., may be provided, and is configured to control a BMS battery management system in the energy storage system to test the battery cell and obtain relevant battery cell performance parameter information from the BMS battery management system. In addition, a corresponding test circuit and a sampling circuit can be additionally arranged and are specially used for realizing the fault diagnosis method.
When the energy storage system operates, the BMS battery management system in the energy storage system can monitor the battery cell states of the battery in different stages in real time, wherein the battery cell states comprise a charging stage, a discharging stage and a standing stage. In the charging and discharging stage, when the voltage of the battery cell is in the platform area, if the BMS battery management system monitors that the highest voltage or the pressure difference between the lowest voltage and the voltage of the battery cell is more than 30mv, it is determined that the data of the battery cell is abnormal. At this moment, the BMS battery management system may send the information that the cell sampling data is abnormal to the main control chip that performs the fault diagnosis, so that the main control chip determines the position of the abnormal cell and performs the fault diagnosis on the abnormal cell.
When the main control chip for performing fault diagnosis receives the information that the cell sampling data is abnormal, the main control chip can acquire performance parameter information of the abnormal cell and the normal cell from the BMS battery management system, such as cell capacity, cell voltage, a change slope of temperature within a period of time, and open-circuit voltage of the cell. Or, the main control chip can also control the BMS battery management system to test the abnormal electric core and the normal electric core, so as to acquire performance parameter information of the abnormal electric core and the normal electric core.
Step S200, determining whether the battery core fault or the sampling fault exists according to the performance parameter information of the abnormal battery core and the plurality of normal battery cores.
It can be understood that, when electric core broke down, the performance parameter of trouble electric core can have great discrepancy with the performance parameter of normal electric core, and when the sampling appeared unusual, the performance parameter of unusual electric core can not have great discrepancy with the performance parameter of normal electric core, can compare with the data of normal electric core through data acquisition many times this moment, also can sample data through other sampling chip or reserve sampling chip, if when having the condition that data is normal, then can judge to be the sampling unusual. Therefore, the performance parameter information of the normal battery cell and the performance parameter information of the abnormal battery cell can be processed in the modes of calculation, comparison and the like, and according to the processing result, when the sampling data of the battery cell is abnormal, the battery cell fault or the sampling fault can be judged.
In this embodiment, according to performance parameter information of a normal electric core and an abnormal electric core, when sampling data of the electric core is abnormal, it is determined whether the electric core is in a fault or in a sampling fault, for example, the electric core capacity values of a plurality of normal electric cores are compared with the electric core capacity values obtained by a plurality of tests of the abnormal electric core, when the electric core capacity values of the abnormal electric core are different from the electric core capacity values of the plurality of normal electric cores by a large amount, it is determined that the capacity of the abnormal electric core is abnormal, at this time, it can be determined that the electric core is abnormal, and further determination is performed. After the battery core is judged to be abnormal, the data such as the voltage change rate, the temperature change rate, the open-circuit voltage and the like of the normal battery core and the abnormal battery core can be obtained to carry out calculation, comparison and other modes for processing, and whether the reason of the battery core abnormality is the permanent failure of the battery core or the non-permanent failure of the battery core is further judged according to the processing result. It can be understood that the data of only one normal battery cell and the data of the abnormal battery cell may be acquired for comparison and judgment, or the data of a plurality of normal battery cells may be acquired, and the average value and the data of the abnormal battery cell are taken for comparison and judgment, so that the accuracy of fault diagnosis can be improved. In addition, after the specific fault type is judged, the corresponding fault information can be uploaded to an upper computer or displayed through a set display assembly, and a suitable fault processing scheme can be provided according to the fault type so as to improve the fault processing and maintenance efficiency.
According to the technical scheme, when the abnormal cell sampling data is received, the performance parameter information of a plurality of normal cells and the performance parameter information of an abnormal cell are acquired, the acquired performance parameter information is calculated, and whether the abnormal cell sampling data is a cell fault or a sampling fault can be determined according to the processing result. So, in practical application, can when electric core sampling data appears in energy storage system and is unusual, carry out fault diagnosis to unusual electric core to obtain the unusual fault type of electric core sampling data, and make the user can confirm the fault type fast, and in time stop using, fault handling such as maintenance, change, can effectively avoid because of electric core sampling data unusual system fault or damage that leads to, make fault diagnosis more high-efficient swift, improved fault diagnosis's efficiency and user's convenience of using.
Referring to fig. 2, in an embodiment of the present invention, the performance parameter information of multiple normal battery cells is a set of battery cell capacity values of each of the normal battery cells;
the performance parameter information of the abnormal electric core is a set of electric core capacity values obtained by each charge and discharge cycle when the abnormal electric core is subjected to multiple charge and discharge cycles; and the cycle number of the charge-discharge cycle corresponds to the number of the normal electric cores.
In this embodiment, when the received cell sampling data is abnormal, the cell capacity values of a plurality of normal cells and the cell capacity value obtained by each charge and discharge cycle when the abnormal cell performs a plurality of charge and discharge cycles are obtained. The capacity values of the normal battery cell and the abnormal battery cell can be tested and obtained through the BMS, and can also be obtained through an additionally arranged test circuit and a sampling circuit which are specially used for fault diagnosis. The cell capacity can be obtained by a discharge experiment method, an open-circuit voltage method, an ampere-hour integration method, a kalman filter method and other test methods, and optionally, the ampere-hour integration method can be selected to obtain the cell capacity values of the normal cell and the abnormal cell. The ampere-hour integration method is used for calculating the capacity value by integrating time and current and taking the multiplying power of charging and discharging and the temperature correction coefficient as compensation coefficients, and has the advantages of relatively small limitation on the self condition of the battery, simplicity and reliability in calculation method, capability of estimating the charge state of the battery in real time and the like, and can improve the accuracy of the acquired capacity value of the battery core.
The step of determining whether the cell fault or the sampling fault is based on the performance parameter information of the abnormal cell and the plurality of normal cells includes:
s210, calculating a difference value between a cell capacity value obtained by each charge-discharge cycle of the abnormal cell and a cell capacity value of the normal cell to obtain a plurality of groups of capacity difference values;
s220, when one group of capacity difference values are smaller than a preset capacity difference value in the plurality of groups of capacity difference values, determining that the sampling fault exists;
and determining the battery core fault when the plurality of groups of capacity difference values are all larger than or equal to the preset capacity difference value.
In this embodiment, after the cell capacity values of a plurality of normal cells and the cell capacity values of multiple charge and discharge cycles of an abnormal cell are obtained, the cell capacity values of a plurality of normal cells and the cell capacity values of multiple charge and discharge cycles of an abnormal cell are subjected to difference calculation one by one, and according to a difference calculation result, whether the capacity of the abnormal cell is normal or not is determined, so that the abnormal fault type of the cell sampling data is judged. For example, the cell capacity values of three normal cells and the cell capacity values of three charge-discharge cycles of an abnormal cell are obtained, a specific data obtaining process may be that the cell capacity value of one normal cell and the cell capacity value of the abnormal cell during the first charge-discharge cycle are obtained through sampling and calculation, the two values are used as a group for difference calculation, then the cell capacity value of another normal cell and the cell capacity value of the abnormal cell during the second charge-discharge cycle are obtained, the two values are used as a group for difference calculation, three groups of data are obtained in this way for difference calculation, and whether the capacity of the abnormal cell is normal or not is determined according to the three groups of difference calculation results.
Optionally, an ampere-hour integration method may be selected to obtain the capacity values of the normal battery cell and the abnormal battery cell, and the preset capacity difference value may be set to be two ampere hours, or a corresponding preset capacity difference value is set according to an actual energy storage system. If the capacity difference value between the electric core capacity value of the normal electric core and the electric core capacity value of the abnormal electric core is smaller than the preset capacity difference value, the capacity of the abnormal electric core can be determined to be normal, and if the capacity difference value between the electric core capacity value of the normal electric core and the electric core capacity value of the abnormal electric core is larger than or equal to the preset capacity difference value, the capacity of the abnormal electric core can be determined to be abnormal.
If one group of difference calculation results exist in the three groups of difference calculation results, and the capacity of the abnormal cell is determined to be normal, the fault type of the abnormal cell sampling data is determined to be a sampling fault, and if the three groups of difference calculation results are all the capacity of the abnormal cell, the fault type of the abnormal cell sampling data is determined to be a cell fault. Further, if the sampling fault is judged, the fault type can be uploaded or displayed, so that a user can further carry out fault troubleshooting on the system to determine whether the sampling fault is sampling abnormality of the sampling chip or sampling wiring harness terminal abnormality. If the battery core fault is judged, other data of the battery core can be further acquired for comparison, and then the reason of the battery core fault is specifically judged.
According to the technical scheme, when the abnormal cell sampling data is received, a set of cell capacity values of a plurality of normal cells and a set of cell capacity values obtained by each charge and discharge cycle when the abnormal cells carry out multiple charge and discharge cycles are obtained, difference calculation is carried out on the obtained cell capacity values, and whether the abnormal cell sampling data is abnormal or abnormal in fault type can be determined according to the difference calculation result. So, in practical application, can be when electric core sampling data is unusual at energy storage system, carry out fault diagnosis to unusual electric core, and it is unusual for the sampling or electric core to obtain the unusual fault type of electric core sampling data, and make the user can confirm the fault type according to the result fast, and in time stop use, fault handling such as maintenance, change, or further carry out troubleshooting, can carry out high-efficient processing pertinence, in order to avoid because of the unusual system fault or the damage that leads to of electric core sampling data, make fault diagnosis more high-efficient swift, fault diagnosis's efficiency and user's convenience have been improved.
Referring to fig. 3, in an embodiment of the present invention, after the step of determining that the battery cell has a fault when the plurality of sets of capacity difference values are all greater than or equal to the preset capacity difference value, the method for diagnosing a sampling fault of a battery cell of an energy storage system further includes:
s300, obtaining working parameters of the normal electric cores and working parameters of the abnormal electric cores;
in this embodiment, after determining that the fault type of the abnormal electrical core sampling data is an electrical core abnormality, the abnormal fault type of the electrical core may be determined according to a processing result of the working parameters by acquiring the working parameters of the normal electrical core and the abnormal electrical core and performing processing such as calculation and comparison on the working parameters. Specifically, the operating parameters of the battery cell may be a voltage change slope, a temperature change slope, an open-circuit voltage, and the like, and it is further determined whether the reason for the battery cell abnormality is a permanent failure of the battery cell or a non-permanent failure of the battery cell according to the processing result of the operating parameters. It can be understood that the data of only one normal battery cell and the data of the abnormal battery cell may be acquired for comparison and judgment, or the data of a plurality of normal battery cells may be acquired, and the average value and the data of the abnormal battery cell are taken for comparison and judgment, so that the accuracy of fault diagnosis can be improved.
S400, determining the abnormal fault type of the battery cell according to the working parameters of the abnormal battery cell and the plurality of normal battery cells.
In this embodiment, a failure type of the abnormal battery cell may be determined according to the operating parameters of the normal battery cell and the abnormal battery cell, for example, the average voltage change slope of the normal battery cells is compared with the average voltage change slope of the abnormal battery cell, and when a difference between the average voltage change slope of the abnormal battery cell and the average voltage change slope of the normal battery cells is within a preset range, it may be determined that the battery cell is not permanently failed. If the difference value is outside the preset range, further judgment can be performed, calculation processing can be performed through obtaining open-circuit voltage values of the normal battery cell and the abnormal battery cell, and according to a calculation processing result, whether the abnormal fault type of the battery cell is a non-permanent failure or a permanent failure is finally determined.
In addition, after the specific fault type is judged, corresponding fault information can be uploaded to an upper computer or displayed through a set display assembly, and corresponding fault isolation processing can be performed on the single battery to which the abnormal battery cell belongs according to the fault type. For example, when it is determined that the type of the abnormal cell failure is a permanent cell failure in the single cell, the single cell may be subjected to permanent fault isolation, such as an operation of removing the single cell from the battery pack or an operation of disconnecting the single cell.
According to the technical scheme, when the abnormal fault type of the cell sampling data is determined to be cell abnormality, the working parameters of a plurality of normal cells and the working parameters of abnormal cells are obtained, the obtained working parameters are calculated, compared and the like, the abnormal fault type of the cells can be determined to be cell permanent failure or cell non-permanent failure according to the processing result, corresponding fault isolation processing can be performed on the battery monomer to which the abnormal cells belong, and the abnormal cell fault type information is uploaded. So, in practical application, can carry out fault diagnosis to unusual electric core when energy storage system appearance electric core sampling data is unusual to the fault type that reachs electric core sampling data anomaly is sampling anomaly, electric core permanent failure or electric core non-permanent failure, simultaneously, can also upload or show the fault type, so that the user can acquire the diagnostic result fast, and confirm the fault type fast according to the result. In addition, after the specific reason of the battery core fault is determined, fault isolation processing can be automatically carried out on the abnormal single battery, and the single battery with the fault can be isolated in time, so that system faults or damages caused by the fact that the battery core is abnormal or users are not found in time are avoided, fault diagnosis is more efficient and intelligent, and the safety of the energy storage system is improved.
Referring to fig. 4 to 6, in an embodiment of the present invention, the operating parameter includes a voltage variation slope and a temperature variation slope;
in this embodiment, after it is determined that the type of the abnormal cell sampling data is abnormal, voltage change slope values and temperature change slope values of a plurality of normal cells, and voltage change slope values and temperature change slope values of an abnormal cell are obtained. The voltage change slope value and the temperature change slope value of the normal battery cell and the abnormal battery cell can be tested and obtained through a BMS (battery management system), and can also be obtained through an additionally arranged test circuit and a sampling circuit which are specially used for fault diagnosis. The voltage change slope value and the temperature change slope value may be obtained through testing in the cell charging process, may be obtained through testing in the cell discharging process, and may be obtained through testing in the whole charging and discharging process. It can be understood that, in addition to obtaining the voltage change slope value and the temperature change slope value for comparison, a change curve of voltage change and a change curve of temperature change may also be obtained for comparison, and the abnormal fault type of the battery core may be determined according to the comparison result.
The step of determining the abnormal fault type of the battery cell according to the working parameters of the abnormal battery cell and the plurality of normal battery cells includes:
s410, determining whether the voltage change slope of the abnormal battery cell is abnormal or not according to the voltage change slopes of the plurality of normal battery cells and the voltage change slope of the abnormal battery cell;
in this embodiment, the voltage change slopes of a plurality of normal battery cells and the voltage change slope of an abnormal battery cell are obtained, and the processing such as calculation and comparison is performed, and according to the processing result, whether the voltage change slope of the abnormal battery cell is normal is determined, so as to determine the specific fault type of the battery cell abnormality. It can be understood that if the difference between the voltage change slope of the normal cell and the voltage change slope of the abnormal cell is within the preset range, it may be determined that the voltage change trend of the abnormal cell is normal, and if the difference between the voltage change slope of the normal cell and the voltage change slope of the abnormal cell is outside the preset range, it may be determined that the voltage change trend of the abnormal cell is abnormal.
Optionally, the step of determining whether the voltage change slope of the abnormal electric core is abnormal according to the voltage change slopes of the plurality of normal electric cores and the voltage change slope of the abnormal electric core specifically includes:
s411, obtaining voltage change slopes of a plurality of normal cells, performing average value calculation to obtain a voltage average change slope, and determining whether the voltage change slope of the abnormal cell is abnormal or not according to the voltage average change slope and the voltage change slope of the abnormal cell.
In this embodiment, the voltage change slopes of a plurality of normal battery cells are obtained, an average value calculation is performed to obtain an average voltage change slope, whether the voltage change slope of the abnormal battery cell is abnormal or not is determined according to the average voltage change slope and the voltage change slope of the abnormal battery cell, and then the specific type of the abnormal battery cell fault is determined. For example, after voltage change slopes of three normal battery cells and an abnormal battery cell are obtained, an average value calculation is performed to calculate the average voltage change slopes of the three normal battery cells, and a difference value calculation is performed between the average voltage change slope and a voltage change slope value of the abnormal battery cell, so as to determine whether the voltage change slope of the abnormal battery cell is abnormal according to a difference value calculation result.
Optionally, the step of obtaining voltage change slopes of a plurality of normal battery cells and performing an average calculation to obtain a voltage average change slope, and determining whether the voltage change slope of the abnormal battery cell is abnormal according to the voltage average change slope and the voltage change slope of the abnormal battery cell includes:
s401, calculating a difference value between the average voltage change slope and the voltage change slope of the abnormal battery cell to obtain a voltage slope difference value;
s402, when the voltage slope difference value is out of a preset voltage slope difference value range, determining that the voltage change slope of the abnormal battery cell is abnormal;
and when the voltage slope difference value is within the range of the preset voltage slope difference value, determining that the voltage change slope of the abnormal battery cell is normal.
In this embodiment, a difference between the calculated average voltage change slope and a voltage change slope value of an abnormal cell is calculated, so as to determine whether the voltage change slope of the abnormal cell is abnormal according to a difference calculation result. Specifically, if the value difference between the average change slope of the voltage of the normal battery cell and the change slope of the voltage of the abnormal battery cell is within the preset voltage slope difference range, it may be determined that the voltage change trend of the abnormal battery cell is normal, and if the value difference between the average change slope of the voltage of the normal battery cell and the change slope of the voltage of the abnormal battery cell is outside the preset voltage slope difference range, it may be determined that the voltage change trend of the abnormal battery cell is abnormal. Alternatively, the preset voltage slope difference range may be set to-1% to 1% of the average change slope of the voltage.
S420, determining whether the temperature change slope of the abnormal battery cell is abnormal or not according to the temperature change slopes of the plurality of normal battery cells and the temperature change slope of the abnormal battery cell;
in this embodiment, the temperature change slopes of a plurality of normal battery cells and the temperature change slope of an abnormal battery cell are obtained to perform calculation, comparison and other processing, and according to the processing result, whether the temperature change slope of the abnormal battery cell is normal is determined, so as to determine the specific type of the abnormal battery cell fault. It can be understood that, if the difference between the temperature change slope of the normal battery cell and the temperature change slope of the abnormal battery cell is within the preset range, it may be determined that the temperature change trend of the abnormal battery cell is normal, and if the difference between the temperature change slope of the normal battery cell and the temperature change slope of the abnormal battery cell is outside the preset range, it may be determined that the temperature change trend of the abnormal battery cell is abnormal.
Optionally, the step of determining whether the temperature change slope of the abnormal battery cell is abnormal according to the temperature change slopes of the plurality of normal battery cells and the temperature change slope of the abnormal battery cell specifically includes:
and S421, obtaining the temperature change slopes of the plurality of normal battery cells, performing average value calculation to obtain an average temperature change slope, and determining whether the temperature change slope of the abnormal battery cell is abnormal or not according to the average temperature change slope and the temperature change slope of the abnormal battery cell.
In this embodiment, the temperature change slopes of a plurality of normal battery cells are obtained, an average value is calculated to obtain an average temperature change slope, and whether the temperature change slope of the abnormal battery cell is abnormal is determined according to the average temperature change slope and the temperature change slope of the abnormal battery cell, so as to determine the specific fault type of the battery cell abnormality. For example, after the temperature change slopes of the three normal battery cells and the abnormal battery cell are obtained, an average value calculation is performed to calculate the temperature average change slopes of the three normal battery cells, and a difference value calculation is performed between the temperature average change slope and the temperature change slope value of the abnormal battery cell, so as to determine whether the temperature change slope of the abnormal battery cell is abnormal according to a difference value calculation result.
Optionally, the step of obtaining the temperature change slopes of a plurality of normal cells and performing an average calculation to obtain a temperature average change slope, and determining whether the temperature change slope of the abnormal cell is abnormal according to the temperature average change slope and the temperature change slope of the abnormal cell includes:
s403, calculating a difference value between the average temperature change slope and the temperature change slope of the abnormal battery cell to obtain a temperature slope difference value;
s404, when the temperature slope difference value is out of a preset temperature slope difference value range, determining that the temperature change slope of the abnormal battery cell is abnormal;
and when the temperature slope difference value is within the range of the preset temperature slope difference value, determining that the temperature change slope of the abnormal battery cell is normal.
In this embodiment, a difference between the calculated average change slope of the temperature and a temperature change slope value of an abnormal cell is calculated, so as to determine whether the temperature change slope of the abnormal cell is abnormal according to a difference calculation result. Specifically, if the value difference between the average change slope of the temperature of the normal battery cell and the change slope of the temperature of the abnormal battery cell is within the preset temperature slope difference range, it may be determined that the temperature change trend of the abnormal battery cell is normal, and if the value difference between the average change slope of the temperature of the normal battery cell and the change slope of the temperature of the abnormal battery cell is outside the preset temperature slope difference range, it may be determined that the temperature change trend of the abnormal battery cell is abnormal. Alternatively, the preset temperature slope difference range may be set to-1% to 1% of the average temperature change slope.
And S430, determining the abnormal fault type of the battery core according to the abnormity of the voltage change slope and the temperature change slope of the abnormal battery core.
In this embodiment, the abnormal failure type of the battery cell may be determined according to whether the voltage change slope of the abnormal battery cell is normal or not and whether the temperature change slope of the abnormal battery cell is normal or not.
Optionally, the step of determining, according to whether the voltage change slope and the temperature change slope of the abnormal battery cell are abnormal or not, a fault type of the battery cell that is abnormal specifically includes:
s431, when the voltage change slope and the temperature change slope of the abnormal battery cell are both normal, determining the fault type of the battery cell abnormality as the non-permanent failure of the battery cell;
and when the voltage change slope of the abnormal battery cell is abnormal and/or the temperature change slope of the abnormal battery cell is abnormal, determining that the abnormal fault type of the battery cell is suspected to be permanent failure of the battery cell.
In this embodiment, if both the voltage change slope and the temperature change slope of the abnormal battery cell are normal, it may be determined that the type of the abnormal battery cell fault is a non-permanent battery cell failure. If any one of the voltage change slope and the temperature change slope of the abnormal cell is abnormal, it may be determined that the type of the abnormal cell fault is suspected permanent cell failure, and at this time, other working parameters of the normal cell and the abnormal cell may be further obtained for processing, so as to specifically determine the reason of the cell fault according to the processing result.
According to the technical scheme, when the abnormal fault type of the cell sampling data is determined to be cell abnormality, voltage change slopes and temperature change slopes of an abnormal cell and a plurality of normal cells are obtained, then mean value calculation, difference value calculation and the like are carried out on the obtained data, and whether the abnormal fault type of the cell is suspected to be permanent failure or non-permanent failure of the cell can be determined according to the calculation result. Therefore, in practical application, when the battery core sampling data of the energy storage system are abnormal, fault diagnosis can be performed on an abnormal battery core, the abnormal fault type of the battery core sampling data is obtained and is specifically abnormal sampling, permanent failure of the battery core or non-permanent failure of the battery core, abnormal judgment is performed by adopting multiple groups of data, and the accuracy of the fault diagnosis is improved.
Referring to fig. 7, in an embodiment of the present invention, after the step of determining that the type of the abnormal battery cell fault is a suspected battery cell permanent failure when the voltage change slope of the abnormal battery cell is abnormal and/or the temperature change slope of the abnormal battery cell is abnormal, the method for diagnosing a battery cell sampling fault of an energy storage system further includes:
s510, obtaining open-circuit voltage values of a plurality of normal battery cells, and performing average value calculation to obtain an open-circuit average voltage value;
s520, acquiring an open-circuit voltage value of the abnormal battery cell;
s530, calculating a difference value between the average open-circuit voltage value and the open-circuit voltage value of the abnormal battery cell to obtain an open-circuit voltage difference value;
s540, when the open-circuit voltage difference value is larger than or equal to a preset open-circuit voltage difference value, determining that the abnormal fault type of the battery cell is a permanent failure of the battery cell;
and when the open circuit voltage difference value is smaller than the preset open circuit voltage difference value, determining the abnormal fault type of the battery cell as the non-permanent failure of the battery cell.
In this embodiment, the open-circuit voltage values of the abnormal cell and the multiple normal cells are obtained, the average value of the open-circuit voltage values of the multiple normal cells is calculated to obtain an open-circuit average voltage value, the difference value of the open-circuit average voltage values of the multiple normal cells and the open-circuit voltage value of the abnormal cell is calculated, the obtained open-circuit voltage difference value is calculated according to the difference value, whether the open-circuit voltage value of the abnormal cell is normal is determined, and then the specific fault type of the cell abnormality is determined. For example, after the open circuit voltage values of the abnormal cell and the five normal cells are obtained, the open circuit average voltage values of the five normal cells are calculated, and the difference between the open circuit average voltage values of the five normal cells and the open circuit voltage values of the abnormal cell is calculated, so that whether the open circuit voltage of the abnormal cell is normal is determined according to the difference calculation result.
And if the difference value between the average open-circuit voltage value of the normal cell and the open-circuit voltage value of the abnormal cell is greater than or equal to the preset open-circuit voltage difference value, determining that the open-circuit voltage value of the abnormal cell is abnormal. And if the difference value between the average open-circuit voltage value of the normal cell and the open-circuit voltage value of the abnormal cell is smaller than the preset open-circuit voltage difference value, determining that the open-circuit voltage value of the abnormal cell is normal. Alternatively, the preset open circuit voltage difference value may be set to 5 mV.
Specifically, if the open-circuit voltage value of the abnormal battery cell is abnormal, it may be determined that the abnormal fault type of the battery cell is a permanent battery cell failure. If the open-circuit voltage value of the abnormal battery cell is normal, the abnormal fault type of the battery cell can be determined to be the non-permanent failure of the battery cell.
In the technical scheme of the invention, when the abnormal fault type of the cell sampling data is determined to be cell abnormality, the voltage change slopes, the temperature change slopes and the open-circuit voltage values of the abnormal cell and a plurality of normal cells are obtained, then the obtained data are subjected to mean value calculation, difference value calculation and the like, and the abnormal fault type of the cell can be determined to be cell permanent failure or cell non-permanent failure according to the calculation result. So, in practical application, can carry out fault diagnosis to unusual electric core when energy storage system appears electric core sampling data unusual to the fault type that reachs electric core sampling data unusual specifically is that the sampling is unusual, electric core is permanent to be become invalid or electric core is non-permanent to become invalid, and has adopted multiunit data to carry out abnormal judgment, has improved fault diagnosis's accuracy. In addition, the user can quickly determine the fault type according to the result, timely perform fault treatment such as stopping, maintenance and replacement, or further perform fault troubleshooting, and can perform efficient treatment on the fault type in a targeted manner so as to avoid system faults or damage caused by abnormal cell sampling data, so that the fault diagnosis is more efficient and quicker, and the fault diagnosis efficiency and the use convenience of the user are improved.
The invention also proposes an energy storage system comprising:
the battery cell sampling fault diagnosis program is stored in the memory; and (c) a second step of,
and when the battery core sampling fault diagnosis program is executed by the processor, the battery core sampling fault diagnosis method of the energy storage system is realized.
As shown in fig. 8, fig. 8 is a schematic diagram of a hardware structure of the energy storage system. The energy storage system may include: a processor 1001, such as a CPU (Central Processing Unit), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Those skilled in the art will appreciate that the hardware configuration shown in fig. 6 is not intended to be limiting of the control device and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
Specifically, the communication bus 1002 is used to implement connection communication between these components;
the user interface 1003 is used for connecting a client and performing data communication with the client, and the user interface 1003 may include an output unit, such as a display screen, and an input unit, such as a keyboard;
the network interface 1004 is used for connecting to the backend server and performing data communication with the backend server, and the network interface 1004 may include an input/output interface, such as a standard wired interface, a wireless interface, such as a Wi-Fi interface;
the memory 1005 is used for storing various types of data, which may include, for example, instructions of any application program or method in the control device and application program-related data, and the memory 1005 may be a high-speed RAM memory, or a stable memory such as a disk memory, and optionally, the memory 1005 may be a storage device independent of the processor 1001;
specifically, with continued reference to fig. 8, the memory 1005 may include an operating system, a network communication module, a user interface module, and a wireless charging start control program, wherein the network communication module may be used to connect to a server and perform data communication with the server;
the processor 1001 may be a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, and the processor 1001 is configured to call the battery cell sampling fault diagnosis program stored in the memory 1005 and execute all or part of the steps of the embodiments of the battery cell sampling fault diagnosis method of the energy storage system.
It should be noted that, because the energy storage system of the present invention is based on the above energy storage system electrical core sampling fault diagnosis method, embodiments of the energy storage system of the present invention include all technical solutions of all embodiments of the above energy storage system electrical core sampling fault diagnosis method, and the achieved technical effects are also completely the same, and are not described herein again.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all modifications and equivalents of the present invention, which are made by the contents of the present specification and the accompanying drawings, or directly/indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (12)
1. The method for diagnosing the sampling fault of the battery core of the energy storage system is characterized by comprising the following steps of:
when the received cell sampling data is abnormal, acquiring performance parameter information of the abnormal cell and performance parameter information of a plurality of normal cells;
and determining whether the battery core fault or the sampling fault exists according to the performance parameter information of the abnormal battery core and the plurality of normal battery cores.
2. The method for diagnosing sampling faults of cells of an energy storage system according to claim 1, wherein the information on the performance parameters of a plurality of normal cells is a set of cell capacity values of each of the normal cells;
the performance parameter information of the abnormal electric core is a set of electric core capacity values obtained by each charge and discharge cycle when the abnormal electric core is subjected to multiple charge and discharge cycles; and the cycle number of the charge-discharge cycle corresponds to the number of the normal electric cores.
3. The energy storage system battery cell sampling fault diagnosis method of claim 2, wherein the step of determining whether the battery cell fault or the sampling fault is a cell fault according to the performance parameter information of the abnormal battery cell and the plurality of normal battery cells includes:
calculating a difference value between a cell capacity value obtained by each charge-discharge cycle of the abnormal cell and a cell capacity value of the normal cell to obtain a plurality of groups of capacity difference values;
when one group of capacity difference values are smaller than a preset capacity difference value in the plurality of groups of capacity difference values, determining the group of capacity difference values as a sampling fault;
and determining the battery core fault when the plurality of groups of capacity difference values are all larger than or equal to the preset capacity difference value.
4. The energy storage system cell sampling fault diagnosis method of claim 3, wherein after the step of determining that the cell fault occurs when the plurality of groups of capacity difference values are all greater than or equal to the preset capacity difference value, the energy storage system cell sampling fault diagnosis method further includes:
obtaining working parameters of a plurality of normal battery cells and working parameters of the abnormal battery cells;
and determining the abnormal fault type of the battery cell according to the working parameters of the abnormal battery cell and the plurality of normal battery cells.
5. The energy storage system battery cell sampling fault diagnosis method of claim 4, wherein the operating parameters include a voltage change slope and a temperature change slope;
the step of determining the abnormal fault type of the battery cell according to the working parameters of the abnormal battery cell and the plurality of normal battery cells includes:
determining whether the voltage change slope of the abnormal battery cell is abnormal or not according to the voltage change slopes of the plurality of normal battery cells and the voltage change slope of the abnormal battery cell;
determining whether the temperature change slope of the abnormal battery cell is abnormal or not according to the temperature change slopes of the plurality of normal battery cells and the temperature change slope of the abnormal battery cell;
and determining the abnormal fault type of the battery core according to the abnormity of the voltage change slope and the temperature change slope of the abnormal battery core.
6. The energy storage system battery cell sampling fault diagnosis method according to claim 5, wherein the step of determining whether the voltage change slope of the abnormal battery cell is abnormal according to the voltage change slopes of the plurality of normal battery cells and the voltage change slope of the abnormal battery cell specifically includes:
obtaining the voltage change slopes of a plurality of normal cells, performing average value calculation to obtain a voltage average change slope, and determining whether the voltage change slope of the abnormal cell is abnormal or not according to the voltage average change slope and the voltage change slope of the abnormal cell.
7. The energy storage system battery cell sampling fault diagnosis method of claim 6, wherein the step of obtaining voltage change slopes of a plurality of normal battery cells and performing average calculation to obtain a voltage average change slope, and the step of determining whether the voltage change slope of the abnormal battery cell is abnormal according to the voltage average change slope and the voltage change slope of the abnormal battery cell includes:
calculating the difference between the average voltage change slope and the voltage change slope of the abnormal battery cell to obtain a voltage slope difference;
when the voltage slope difference value is out of a preset voltage slope difference value range, determining that the voltage change slope of the abnormal battery cell is abnormal;
and when the voltage slope difference value is within the range of the preset voltage slope difference value, determining that the voltage change slope of the abnormal battery cell is normal.
8. The method for diagnosing sampling faults of the battery cores of the energy storage system according to claim 5,
the step of determining whether the temperature change slope of the abnormal battery cell is abnormal according to the temperature change slopes of the plurality of normal battery cells and the temperature change slope of the abnormal battery cell specifically includes:
and obtaining the temperature change slopes of a plurality of normal cells and carrying out average calculation to obtain the average temperature change slope, and determining whether the temperature change slope of the abnormal cell is abnormal or not according to the average temperature change slope and the temperature change slope of the abnormal cell.
9. The method for diagnosing sampling faults of battery cells of an energy storage system according to claim 8,
the method comprises the steps of obtaining the temperature change slopes of a plurality of normal battery cells and carrying out average calculation to obtain the average temperature change slope, and determining whether the temperature change slope of the abnormal battery cell is abnormal or not according to the average temperature change slope and the temperature change slope of the abnormal battery cell, wherein the steps of:
calculating the difference between the average temperature change slope and the temperature change slope of the abnormal battery cell to obtain the temperature slope difference;
when the temperature slope difference value is out of a preset temperature slope difference value range, determining that the temperature change slope of the abnormal battery cell is abnormal;
and when the temperature slope difference value is within the range of the preset temperature slope difference value, determining that the temperature change slope of the abnormal battery cell is normal.
10. The method for diagnosing sampling faults of the battery cores of the energy storage system according to claim 5,
the step of determining the abnormal fault type of the battery cell according to whether the voltage change slope and the temperature change slope of the abnormal battery cell are abnormal or not specifically comprises the following steps:
when the voltage change slope and the temperature change slope of the abnormal battery cell are both normal, determining the fault type of the battery cell abnormality as the non-permanent failure of the battery cell;
and when the voltage change slope of the abnormal battery cell is abnormal and/or the temperature change slope of the abnormal battery cell is abnormal, determining that the abnormal fault type of the battery cell is suspected to be permanent failure of the battery cell.
11. The energy storage system battery cell sampling fault diagnosis method of claim 10, wherein after the step of determining that the battery cell abnormal fault type is a suspected battery cell permanent failure when the voltage change slope of the abnormal battery cell is abnormal and/or the temperature change slope of the abnormal battery cell is abnormal, the energy storage system battery cell sampling fault diagnosis method further includes:
obtaining open-circuit voltage values of a plurality of normal battery cells, and performing average value calculation to obtain an open-circuit average voltage value;
acquiring an open-circuit voltage value of the abnormal battery cell;
calculating the difference between the average open-circuit voltage value and the open-circuit voltage value of the abnormal cell to obtain an open-circuit voltage difference;
when the open-circuit voltage difference value is larger than or equal to the preset open-circuit voltage difference value, determining the abnormal fault type of the battery cell as the permanent failure of the battery cell;
and when the open circuit voltage difference value is smaller than the preset open circuit voltage difference value, determining the abnormal fault type of the battery cell as the non-permanent failure of the battery cell.
12. An energy storage system, comprising:
the battery cell sampling fault diagnosis device comprises a memory, a data processing unit and a data processing unit, wherein the memory is stored with a battery cell sampling fault diagnosis program; and (c) a second step of,
a processor, wherein when being executed by the processor, the cell sampling fault diagnosis program implements the energy storage system cell sampling fault diagnosis method according to any one of claims 1 to 11.
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