CN117276709B - Detection system, detection method and device for energy storage system and energy storage system - Google Patents
Detection system, detection method and device for energy storage system and energy storage system Download PDFInfo
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- CN117276709B CN117276709B CN202311537029.9A CN202311537029A CN117276709B CN 117276709 B CN117276709 B CN 117276709B CN 202311537029 A CN202311537029 A CN 202311537029A CN 117276709 B CN117276709 B CN 117276709B
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- 238000001514 detection method Methods 0.000 title claims abstract description 131
- 238000004146 energy storage Methods 0.000 title claims abstract description 131
- 238000012360 testing method Methods 0.000 claims abstract description 151
- 238000012423 maintenance Methods 0.000 claims abstract description 19
- 238000000034 method Methods 0.000 claims description 23
- 238000004458 analytical method Methods 0.000 claims description 17
- 238000005070 sampling Methods 0.000 claims description 13
- 239000003990 capacitor Substances 0.000 claims description 8
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Classifications
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/4207—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells for several batteries or cells simultaneously or sequentially
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/4285—Testing apparatus
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
- H01M10/482—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte for several batteries or cells simultaneously or sequentially
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
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- Secondary Cells (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The application relates to the technical field of battery energy storage, and discloses a detection system, a detection method, a detection device and an energy storage system for an energy storage system, wherein the detection system for the energy storage system comprises: the test circuit group comprises a plurality of test circuits which are arranged in parallel; the resonance circuit group is connected in series with the test circuit group; the control system comprises a plurality of control ends, and the control ends are used for controlling the on-off states of the test circuit group and the resonance circuit group. The detection system is adopted to detect the consistency of the characteristic quantity among the battery clusters of the energy storage system. The multiple testing circuits are sequentially connected and matched with the resonant circuit groups, different resonant frequencies are accessed, the characteristic quantity of each battery cluster can be obtained, multiple groups of characteristic quantity values are analyzed, the consistency of the multiple battery clusters can be analyzed, the operation and maintenance intellectualization of the energy storage system is improved, early warning of faults is realized, and the availability and safety of the energy storage system are improved.
Description
Technical Field
The present application relates to the field of battery energy storage technologies, and for example, to a detection system, a detection method, a detection device and an energy storage system for an energy storage system.
Background
After the battery is used for a long time, the battery has an aging effect, and the capacity and the internal resistance of the battery are changed compared with those of the battery when the battery leaves a factory. The aging conditions of different batteries are different, and the internal resistances of the batteries are inconsistent. Meanwhile, along with continuous cyclic charge and discharge of the energy storage battery, inconsistency among the single batteries can be aggravated.
The energy storage system forms a battery stack through parallel connection among a plurality of battery clusters, and the running current between the battery clusters is inconsistent due to various factors in parallel connection among the battery clusters, which often occurs in a real working condition.
Particularly, for the high-voltage box of the battery cluster, the high-voltage box comprises a fuse and a current divider, and in long-term operation, potential risks of increased contact resistance and changed electrical characteristics may exist, and the operation characteristics of the system are different, so that the current difference among the battery clusters is increased, and the operation stability of the energy storage system is affected.
It should be noted that the information disclosed in the foregoing background section is only for enhancing understanding of the background of the present application and thus may include information that does not form the prior art that is already known to those of ordinary skill in the art.
Disclosure of Invention
The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview, and is intended to neither identify key/critical elements nor delineate the scope of such embodiments, but is intended as a prelude to the more detailed description that follows.
The embodiment of the disclosure provides a detection system, a detection method and a detection device for an energy storage system and the energy storage system, which are used for detecting electrical characteristic changes among battery clusters of the energy storage system, realizing monitoring of the running state of the energy storage system and improving the running stability of the energy storage system.
In some embodiments, a detection system for an energy storage system is provided, comprising: the test circuit group comprises a plurality of test circuits which are arranged in parallel; the resonance circuit group is connected in series with the test circuit group; the control system comprises a plurality of control ends, and the control ends are used for controlling the on-off states of the test circuit group and the resonance circuit group.
In some embodiments, there is provided an energy storage system comprising: a cell stack; the detection system for an energy storage system according to any one of the above embodiments, wherein the detection system is connected to the battery stack and is configured to detect a characteristic quantity of the energy storage system.
In some embodiments, a detection method for an energy storage system is provided, which is applied to the energy storage system as in any one of the above embodiments, where the energy storage system includes a plurality of battery clusters, and the detection method includes: in response to the detection request, controlling n test circuits to be sequentially conducted; under the condition that each test circuit is in conduction, controlling the resonant circuit group to work according to preset parameters; and acquiring detection data of the battery clusters corresponding to each test circuit, and obtaining a plurality of groups of detection data corresponding to the n battery clusters.
In some embodiments, a detection apparatus for an energy storage system is provided, comprising a processor and a memory storing program instructions, the processor being configured to perform the detection method for an energy storage system according to any of the embodiments described above when the program instructions are executed.
In some embodiments, there is provided an energy storage system comprising: an energy storage body; the detection device for an energy storage system according to the above embodiment is mounted on the energy storage body.
The detection system, the detection method and the detection device for the energy storage system and the energy storage system provided by the embodiment of the disclosure can realize the following technical effects:
the present disclosure provides a detection system for an energy storage system. The detection system comprises a test circuit group, a resonance circuit group and a control system. The test circuit group comprises a plurality of test circuits which are arranged in parallel. The test circuit group is connected in series with the resonance circuit group. The control system comprises a plurality of control ends, and the control ends are used for controlling the on-off state of the test circuit and the on-off state of the resonance circuit.
The detection system is adopted to detect the consistency of the characteristic quantity among the battery clusters of the energy storage system. The multiple test circuits are sequentially connected and matched with the resonant circuit groups, and different resonant frequencies are accessed, so that the characteristic quantity of each battery cluster can be obtained, multiple groups of characteristic quantity values are analyzed, and the consistency of the multiple battery clusters can be analyzed. Therefore, operation and maintenance prompt information of the energy storage system can be given according to the analysis result, and then some potential risks in the operation process of the energy storage system can be found, the operation and maintenance intellectualization of the energy storage system is improved, the fault detection time is reduced, early warning of faults is realized, and the availability and safety of the energy storage system are improved.
The foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the application.
Drawings
One or more embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings, in which like references indicate similar elements, and in which like reference numerals refer to similar elements, and in which:
FIG. 1 is a schematic diagram of a detection system for an energy storage system provided by an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of an energy storage system provided by an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of a control pulse provided by an embodiment of the present disclosure;
FIG. 4 is a waveform diagram of test data of an embodiment of the present disclosure;
FIG. 5 is a flow chart of a detection method for an energy storage system according to one embodiment of the present disclosure;
FIG. 6 is a flow chart of a detection method for an energy storage system according to yet another embodiment of the present disclosure;
FIG. 7 is a flow chart of a detection method for an energy storage system according to yet another embodiment of the present disclosure;
fig. 8 is a block diagram of a detection device for an energy storage system according to an embodiment of the present disclosure.
Reference numerals:
10 a detection system;
110 testing the circuit group; 111 testing the circuit; 112 a second insulated gate bipolar transistor;
a 120 resonant circuit group; a 121 capacitor; 122 reactance input circuit; 123 subcircuits; 1232 resistance; 1234 a first insulated gate bipolar transistor;
130 a control system; 132 control terminal; 134 voltage sampling end; 136 current sampling end;
a 20 energy storage system; 200 cell stacks; 210 a battery cluster; 212 battery packs; 214 high pressure box;
80 is used for a detection device of the energy storage system; an 800 processor; 801 a memory; an 802 communication interface; 803 bus.
Detailed Description
So that the manner in which the features and techniques of the disclosed embodiments can be understood in more detail, a more particular description of the embodiments of the disclosure, briefly summarized below, may be had by reference to the appended drawings, which are not intended to be limiting of the embodiments of the disclosure. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may still be practiced without these details. In other instances, well-known structures and devices may be shown simplified in order to simplify the drawing.
The terms first, second and the like in the description and in the claims of the embodiments of the disclosure and in the above-described figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe embodiments of the present disclosure. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion.
The term "plurality" means two or more, unless otherwise indicated.
In the embodiment of the present disclosure, the character "/" indicates that the front and rear objects are an or relationship. For example, A/B represents: a or B.
The term "and/or" is an associative relationship that describes an object, meaning that there may be three relationships. For example, a and/or B, represent: a or B, or, A and B.
The term "corresponding" may refer to an association or binding relationship, and the correspondence between a and B refers to an association or binding relationship between a and B.
In some embodiments, as shown in connection with fig. 1, a detection system 10 for an energy storage system 20 is provided that includes a set of test circuits 110 and a set of resonant circuits 120. The test circuit group 110 includes a plurality of test circuits 111 arranged in parallel. The set of resonant circuits 120 is connected in series with the set of test circuits 110. The control system 130 includes a plurality of control terminals 132, and the plurality of control terminals 132 are used for controlling the on-off states of the test circuit group 110 and the resonance circuit group 120.
The present disclosure provides a detection system 10 for an energy storage system 20. The detection system 10 includes a set of test circuits 110, a set of resonant circuits 120, and a control system 130. The test circuit group 110 includes a plurality of test circuits 111, and the plurality of test circuits 111 are arranged in parallel. The test circuit group 110 is connected in series with the resonant circuit group 120. The control system 130 includes a plurality of control terminals 132, and the plurality of control terminals 132 are used for controlling the on-off state of the test circuit 111 and the on-off state of the resonance circuit.
The detection system 10 of the present disclosure is employed to detect the uniformity of the characteristic quantity among the plurality of battery clusters 210 of the energy storage system 20. The plurality of test circuits 111 are sequentially connected, matched with the resonant circuit group 120, and connected with different resonant frequencies, so that the characteristic quantity of each battery cluster 210 can be obtained, a plurality of groups of characteristic quantity values are analyzed, and the consistency of the plurality of battery clusters 210 can be analyzed. In this way, operation and maintenance prompt information of the energy storage system 20 can be given according to the analysis result, and then some potential risks in the operation process of the energy storage system 20 can be found, the operation and maintenance intellectualization of the energy storage system 20 is improved, the fault detection time is reduced, early warning of faults is realized, and the availability and safety of the energy storage system 20 are improved.
Alternatively, as shown in connection with fig. 1, the resonant circuit group 120 includes: a capacitor 121 and a reactance input circuit 122. The reactive input circuit 122 is connected in series with the capacitor 121 and the test circuit group 110 at both ends of the circuit.
In this embodiment, by providing the reactance input circuit 122, it is used to turn on different reactor values. Through setting up the electric capacity 121 that establishes ties with reactance input circuit 122 for reactance input circuit 122 and electric capacity 121C form different resonant frequency, promote the variety of test scene, and then can promote the accuracy of test data.
Alternatively, as shown in connection with fig. 1, the reactance input circuit 122 includes: a plurality of sub-circuits 123, the plurality of sub-circuits 123 being arranged in parallel.
In this embodiment, by setting a plurality of sub-circuits 123 in parallel, and then controlling the sub-circuits 123 to be turned on one by one, and then matching with the test circuit 111, different test scenes can be formed, and then multiple sets of test data are obtained, and then the test data volume is enlarged, and the accuracy of the detection result is improved.
Optionally, as shown in connection with fig. 1, the sub-circuit 123 includes: resistor 1232 and first insulated gate bipolar transistor 1234. A first insulated gate bipolar transistor 1234 is connected in series with a resistor 1232, and the input gate of the first insulated gate bipolar transistor 1234 is connected to the control terminal 132.
In this embodiment, each subcircuit 123 includes a resistor 1232 and a first insulated gate bipolar transistor 1234. The resistances of the plurality of resistors 1232 corresponding to the plurality of sub-circuits 123 are different. By setting the resistance values of the resistors 1232 in the plurality of sub-circuits 123 to be different, different reactor values are used for switching in. By providing the first igbt 1234, the input gate of the first igbt 1234 is connected to the control terminal 132, thereby controlling the on-off state of the sub-circuit 123.
Optionally, the capacitor 121 is a tunable capacitor 121.
In this embodiment, by setting the capacitance 121 to be an adjustable capacitance 121, the adaptability of the detection system 10 is improved. In practical applications, the value of the capacitor 121 may be adjusted according to different usage scenarios.
Optionally, as shown in connection with fig. 1, the test circuit 111 includes: the second insulated gate bipolar transistor 112, the second insulated gate bipolar transistor 112 comprising a gate, a collector and an emitter, the gate being connected to the control terminal 132 for receiving the control signal. The collector is used to electrically connect to the energy storage system 20 and the emitter is connected in series with the resonant circuit bank 120.
In this embodiment, each test circuit 111 includes a second insulated gate bipolar transistor 112. The gate of the second insulated gate bipolar transistor 112 is connected to the control terminal 132, so as to control the on-off state of the test circuit 111.
Optionally, as shown in connection with fig. 1, the control system 130 further comprises: a voltage sampling terminal 134 and a current sampling terminal 136. The voltage sampling terminal 134 is used for collecting voltage values at two ends of the resonant circuit group 120. The current sampling terminal 136 is used for sampling a current value.
In this embodiment, control system 130 also includes a voltage sampling terminal 134 and a current sampling terminal 136. The voltage sampling end 134 is used for collecting voltage values at two ends of the resonant circuit group 120, and the current sampling end 136 is used for collecting current values flowing through the resonant circuit group 120. The characteristic impedance of each cluster is calculated through the collected voltage value and current value, the consistency is analyzed, the analysis result is used for judging the discrete condition of the battery cluster 210, intelligent guidance is made for operation and maintenance, faults of core components such as a battery cell, cable connection, a high-voltage box 214 and the like are found in time, fault deterioration is avoided, and the safety and the availability of the energy storage system 20 are ensured.
In some embodiments, as shown in connection with fig. 2, there is provided an energy storage system 20 comprising: a cell stack 200. And the detection system 10 for the energy storage system 20 according to any of the above embodiments, the detection system 10 is connected to the battery stack 200 for detecting the characteristic quantity of the energy storage system 20.
Embodiments of the present disclosure provide an energy storage system 20 comprising a cell stack 200 and a detection system 10 as described in any of the embodiments above. The detection system 10 can be connected to the cell stack 200 for detecting the feature of the cell stack 200, so that the detection system 10 of any of the above embodiments has all the advantages, which are not described herein.
Alternatively, as shown in connection with fig. 2, the cell stack 200 includes: a plurality of battery clusters 210, the plurality of battery clusters 210 being arranged in parallel. The number of the battery clusters 210 is the same as that of the test circuits 111, the battery clusters 210 are arranged in a one-to-one correspondence with the test circuits 111, and one end of the test circuit 111 is connected in series with the positive electrodes of the battery clusters 210.
In this embodiment, the number of battery clusters 210 is the same as the number of test circuits 111, and the battery clusters 210 are arranged in one-to-one correspondence with the test circuits 111. The detection system 10 of the present disclosure is employed to detect the uniformity of the characteristic quantity among the plurality of battery clusters 210 of the energy storage system 20. The plurality of test circuits 111 are sequentially connected, matched with the resonant circuit group 120, and connected with different resonant frequencies, so that the characteristic quantity of each battery cluster 210 can be obtained, a plurality of groups of characteristic quantity values are analyzed, and the consistency of the plurality of battery clusters 210 can be analyzed. In this way, operation and maintenance prompt information of the energy storage system 20 can be given according to the analysis result, and then some potential risks in the operation process of the energy storage system 20 can be found, the operation and maintenance intellectualization of the energy storage system 20 is improved, the fault detection time is reduced, early warning of faults is realized, and the availability and safety of the energy storage system 20 are improved.
Alternatively, as shown in connection with fig. 2, the battery cluster 210 includes: a plurality of battery packs 212 and a high voltage box 214, the plurality of battery packs 212 being connected in series. The high voltage cartridge 214 is connected in series with the plurality of battery packs 212.
In this embodiment, the battery cluster 210 includes a plurality of battery packs 212 and a high voltage cartridge 214 in series. Thus, the measuring range of the detection system 10 covers the high voltage box 214, and the system can judge the electrical communication characteristics of the high voltage box 214 and analyze the electrical characteristics of the links among the plurality of battery packs 212.
Alternatively, the number of battery clusters 210 may range from 8 clusters to 12 clusters.
In this embodiment, the number of the battery clusters 210 may be selected according to the application scenario of the energy storage system 20, and is not limited to the listed 8 clusters to 12 clusters.
Optionally, the energy storage system 20 further includes: a total positive terminal and a total negative terminal, the total positive terminal being removably electrically connected to one end of the stack 200. The total negative terminal is electrically connected to the other end of the stack 200.
In this embodiment, the energy storage system 20 further comprises: a total positive terminal and a total negative terminal. By removably electrically connecting the general positive terminal to one end of the stack 200, the access or removal of the detection system 10 is facilitated, improving efficiency.
Optionally, the total positive end is provided with a first plugging portion, one end of the cell stack 200 is provided with a second plugging portion, and the first plugging portion and the second plugging portion can be plugged. The end of the detection system 10 connected with the cell stack 200 is also provided with a first plug-in connection, and the detection system 10 is detachably connected with the cell stack 200 through the first plug-in connection and the second plug-in connection.
In some embodiments, as shown in fig. 5, a detection method for an energy storage system is provided, where the detection method is applied to the energy storage system according to any one of the foregoing embodiments, and as shown in fig. 2, the energy storage system includes a plurality of battery clusters, and the detection method includes:
s502, in response to the detection request, controlling n test circuits to be sequentially conducted.
S504, controlling the resonant circuit group to work according to preset parameters under the condition that each test circuit is in conduction.
S506, obtaining detection data of the battery clusters corresponding to each test circuit, and obtaining a plurality of groups of detection data corresponding to the n battery clusters.
The detection method for the energy storage system provided by the embodiment of the disclosure is applied to the energy storage system described in any embodiment, and the energy storage system comprises n battery clusters and n test circuits, wherein the n test circuits are connected with anodes of the n battery clusters in a one-to-one correspondence manner. The detection method comprises the following steps: in response to the detection request. The n test circuits are controlled to be conducted sequentially so as to detect the battery clusters one by one, and operation characteristic data of the battery clusters are obtained. Specifically, in the on state of one of the plurality of test circuits, the other test circuits of the plurality of test circuits are in the off state. And when each test is in a conducting state, controlling the resonant circuit to work according to preset parameters so as to input different resonant frequencies, and further obtaining multiple groups of detection data in different scenes.
Through carrying out consistency analysis to the multiunit detection data that n battery clusters correspond, and then can confirm the difference between the operation characteristic data between a plurality of battery clusters, and then can be used for the fortune dimension of energy storage system to guide, in time discover system's trouble, promote the inspection and the trouble investigation efficiency to energy storage system. By finding some potential risks in the operation process of the energy storage system, the operation and maintenance intellectualization of the energy storage system is improved, the fault checking time is reduced, and early warning of faults can be achieved. Therefore, the availability of the energy storage system and the safety of the energy storage equipment can be improved, and the operation and maintenance cost of the energy storage system is reduced.
Optionally, the step of controlling the plurality of test circuits to conduct sequentially includes: the n test circuits are numbered. And sequentially controlling the conduction of the n test circuits according to a preset sequence. When one of the n test circuits is in an on state, the other test circuits of the n test circuits are in an off state.
In this embodiment, the test efficiency is improved by numbering n test circuits. Specifically, n test circuits are sequentially controlled to be conducted according to the preset sequence after numbering, and corresponding detection data are sequentially recorded and stored to be used for guiding operation and maintenance.
Optionally, the resonant circuit group includes a plurality of sub-circuits arranged in parallel, and the step of controlling the operation of the resonant circuit group according to the preset parameter includes: the M subcircuits are controlled to conduct sequentially. And under the condition that each sub-circuit is conducted, inputting preset parameters into a plurality of sub-circuits. Wherein the preset parameters include pulse period and duty cycle. When one of the M sub-circuits is in an on state, the other of the M sub-circuits is in an off state.
In this embodiment, the step of controlling the operation of the set of resonant circuits in case any one of the n test circuits is in conduction comprises: and sequentially controlling the M sub-circuits to be on, wherein under the condition that one of the M sub-circuits is on, the other sub-circuits of the M sub-circuits are off. And under the condition that each sub-circuit is conducted, accessing a pulse with preset parameters to obtain corresponding detection data. Because the M sub-circuits input different reactor values, and then after the control conduction of the M sub-circuits is completed, M groups of detection data can be obtained for each test circuit. Thus, the test operation of n test circuits is completed according to the same operation, and n×m sets of test data are obtained. And through a plurality of groups of data volumes, the accuracy of test analysis results can be further improved.
In some embodiments, as shown in fig. 6, a detection method for an energy storage system is provided, where the detection method is applied to the energy storage system according to any one of the foregoing embodiments, and as shown in fig. 2, the energy storage system includes a plurality of battery clusters, and the detection method includes:
s602, in response to the detection request, controlling n test circuits to be sequentially conducted.
S604, under the condition that each test circuit is in conduction, controlling the resonant circuit group to work according to preset parameters.
S606, obtaining detection data of the battery clusters corresponding to each test circuit, and obtaining a plurality of groups of detection data corresponding to the n battery clusters.
S608, analyzing a plurality of groups of detection data to obtain an analysis result.
And S610, sending out prompt information according to the analysis result.
In the embodiment, the obtained multiple groups of detection data are analyzed to obtain the consistency of the operation characteristic quantity among the multiple battery clusters, so that corresponding prompt information can be sent out according to the analysis result, the prompt information can be used for operation and maintenance guidance, daily detection and the like of the energy storage system, and the detection efficiency and the fault detection efficiency of the energy storage system are improved.
Optionally, the step of obtaining detection data of the battery clusters corresponding to each test circuit, and obtaining a plurality of sets of detection data corresponding to the n battery clusters includes: and respectively acquiring detection data of the corresponding battery cluster when each sub-circuit is in a conducting state aiming at each test circuit. And drawing a graph according to the corresponding detection data and detection time for each sub-circuit. And obtaining K wave peak values positioned on the forward side of the graph, and obtaining a peak value group corresponding to each sub-circuit. For each test circuit, a corresponding set of M peaks is obtained. For n test circuits, n M sets of peaks are obtained.
In this embodiment, taking a test procedure of any one of n battery clusters as an example, the following is explained: the test circuit connected with the battery cluster is controlled to be in a conducting state, the sub-circuits of the resonance circuit group are sequentially controlled to be conducted one by one, and under the condition that one of the sub-circuits is in a conducting state, the other of the sub-circuits is in a cutting-off state. In this way, after the control on steps of the plurality of sub-circuits are sequentially completed, M groups of detection data corresponding to the battery cluster are obtained, a graph is drawn according to each group of detection data and detection time, and the graph is combined with the waveform diagram drawn when the detection data is a current value as shown in fig. 4. And acquiring the wave peak values in the forward direction of the data axis in the wave graphs corresponding to each group of detection data, wherein the number of the wave peak values is K, and the value of K can be set according to actual conditions. And obtaining M groups of peak value groups corresponding to the battery clusters by the same processing mode of the M groups of detection data. The testing steps of the n battery clusters are the same, and after the testing is completed in sequence, n multiplied by M peak groups are obtained.
Optionally, the step of analyzing the plurality of sets of detection data to obtain an analysis result includes: and according to the conduction states of the M sub-circuits and the sequence of the K wave peak values, carrying out combined sorting on the n multiplied by M groups of peak values to obtain M groups of sorted characteristic value groups. And respectively calculating standard deviations of the wave peak values of the M sets of characteristic value sets. And determining an analysis result according to the standard deviation. Each characteristic value group comprises K wave crest groups, and each wave crest group comprises n wave crest values in the same sequence.
In this embodiment, the step of analyzing the obtained nxm peak groups includes sorting the nxm peak groups in combination according to M sub-circuits to obtain M recombined characteristic value groups. And calculating the standard deviation of the peak value of each characteristic value group to determine an analysis result according to the standard deviation, so as to be used for guiding operation and maintenance.
Optionally, the step of calculating standard deviations of the peak values of the M sets of eigenvalues respectively includes: an average of n peak values in each peak group in each set of eigenvalues is calculated. And obtaining corresponding K average values in each group of characteristic value groups. And respectively calculating the square sum of the deviation values of n wave crest values in each of the K wave crest groups and the corresponding average value to obtain K square sums. And averaging each square sum of the K square sums and then squaring to obtain K standard deviation.
Optionally, the step of determining the analysis result according to the standard deviation includes: and comparing the standard deviation with a preset threshold value. And sending out operation and maintenance reminding information under the condition that the standard deviation is greater than or equal to a preset threshold value.
In this embodiment, the K standard deviations obtained are compared with a predetermined threshold value, respectively. Under the condition that the standard deviation is greater than or equal to a preset threshold value, the fact that the electrical characteristic of the battery cluster corresponding to the standard deviation is larger in change possibly affects the operation of the energy storage system is indicated, and then operation and maintenance reminding information is sent out to prompt staff to timely overhaul and maintain, operation and maintenance intellectualization of the energy storage system is improved, fault investigation time is shortened, early warning of faults can be achieved, and the availability and safety of the energy storage system are improved.
In some embodiments, as shown in fig. 7, a detection method for an energy storage system is provided, which is applied to the energy storage system according to any of the above embodiments, and as shown in fig. 2, the energy storage system includes n battery clusters and a detection system. The n battery clusters are arranged in parallel with each other. Referring to fig. 1, the detection system includes n parallel test circuits and a resonant circuit group connected in series with the test circuit group. The resonant circuit group includes M sub-circuits connected in parallel. One end of each of the n parallel test circuits is connected with one end of the resonant circuit group in series, the other end of each of the n parallel test circuits is connected with the positive poles of the n battery clusters, and the other end of each of the n parallel test circuits is electrically connected with the total negative end of the energy storage system.
Illustratively, as shown in connection with FIG. 2, the n battery clusters are Rack-1, rack-2, rack-3 … … Rack-n, respectively. Referring to FIG. 1, the connection ends of the n parallel test circuits are R respectively 1 、R 2 、R 3 … … Rn. The second insulated gate bipolar transistor in the n parallel test circuits is denoted by S1, S2, S3 … … Sn, respectively. The number M of the sub-circuits is 3, the corresponding first insulated gate bipolar transistors of the 3 sub-circuits are respectively represented by SL1, SL2 and SL3, and the resistances in the 3 sub-circuits are respectively represented by L1, L2 and L3.
The SOC (State of charge) of the energy storage system is adjusted to 30% to 70% prior to testing. The links of the n battery clusters to the total positive terminal are disconnected. R is R 1 、R 2 、R 3 … … Rn are respectively connected with Rack-1, rack-2 and Rack-3 … … Rack-n in a one-to-one correspondence manner.
Starting detection, wherein the detection method comprises the following steps:
and S701, in response to the detection request, measuring the characteristic data of a first cluster Rack-1 in the n battery clusters.
The characteristic data measurement step of the first cluster Rack-1 specifically comprises the following steps: control S1 turns on and turns off S2, S3 to Sn. A control pulse as shown in fig. 3 is sequentially output to SL1 with a period of 1mS, a duty ratio of 50%, and data is recorded. Then, a control pulse as shown in fig. 3 is output to SL2, the period of the pulse is 1mS, the duty ratio is 50%, and data is recorded. Then, a control pulse as shown in fig. 3 is output to SL3, the period of the pulse is 1mS, the duty ratio is 50%, and data is recorded. In this way, the test for the characteristic data of the first cluster Rack-1 is completed.
S702, measuring characteristic data of a second cluster Rack-2 in the n battery clusters.
The characteristic data measurement step of the second cluster Rack-2 specifically comprises the following steps: control S2 turns on and turns off S1, S3 to SN. A control pulse as shown in fig. 3 is sequentially output to SL1 with a period of 1mS, a duty ratio of 50%, and data is recorded. Then, a control pulse as shown in fig. 3 is output to SL2, the period of the pulse is 1mS, the duty ratio is 50%, and data is recorded. Then, a control pulse as shown in fig. 3 is output to SL3, the period of the pulse is 1mS, the duty ratio is 50%, and data is recorded. In this way, the test for the feature data of the second cluster Rack-2 is completed.
And S703, sequentially measuring the characteristic data of the third cluster Rack-3 to the nth cluster Rack-n in the completed n battery clusters. The measurement steps are identical to the test steps of the first cluster and the second cluster.
The characteristic data obtained in the test step are current values, and the current values are in a waveform chart shown in fig. 4. The peak value of the forward wave peak in each waveform is D1, D2 … DK as shown in fig. 4, and the value of K can be set according to the field situation, and the range of the value is 10 to 60, specifically 20, 30 or 50. Each cluster of battery clusters corresponds to three groups of recorded data, and test data corresponding to the obtained n battery clusters are as follows:
the test data for the first cluster Rack-1 includes:
D_R 1 _L1=[D1,D2…DK]k data representing the recording of the first cluster when SL1 is on;
D_R 1 _L2=[D1,D2…DK]k data representing the recording of the first cluster when SL2 is on;
D_R 1 _L3=[D1,D2…DK]k data representing the recording of the first cluster when SL3 is on;
D_R 2 _L1=[D1,D2…DK]k data representing the recording of the second cluster when SL1 is on;
D_R 2 _L2=[D1,D2…DK]k data representing the recording of the second cluster when SL2 is on;
D_R 2 _L3=[D1,D2…DK]k data representing the recording of the second cluster when SL3 is on;
…
djnl1= [ D1, D2 … DK ], representing K data recorded when SL1 is turned on for the nth cluster;
D_Rn _ L2=[D1,D2…DK]k data representing the record of the nth cluster when SL2 is on;
Djnl3= [ D1, D2 … DK ], representing K data recorded when SL3 is turned on for the nth cluster.
S704, the obtained test data are subjected to recombination sorting, and combined data are obtained. The combined ordered data are as follows:
SL1 is in the on state:
R_L1_D1[1,2, … n ] represents n data of the 1 st forward peak value of the test characteristic waveform obtained when all the battery clusters are in SL1 on test.
R_L1_D2[1,2, … n ] represents n data of the 2 nd forward wave peak value of the test characteristic waveform obtained respectively when all the battery clusters are in SL1 on test.
R_L1_D3[1,2, … n ] represents n data of the 3 rd forward peak value of the test characteristic waveform obtained respectively when all the battery clusters are in SL1 on test.
And the same is done to the R_L1_DK1, 2, … n, which represents the n data of the Kth forward peak value of the obtained test characteristic waveform when all the battery clusters are tested in the SL1 on test.
SL2 is in the on state:
R_L2_D1[1,2, … n ] represents n data of the 1 st forward peak value of the test characteristic waveform obtained respectively when all the battery clusters are in SL2 on test.
R_L2_D2[1,2, … n ] represents n data of the 2 nd forward wave peak value of the test characteristic waveform obtained respectively when all the battery clusters are in SL2 on test.
R_L2_D3[1,2, … n ] represents n data of the 3 rd forward peak value of the test characteristic waveform obtained respectively when all the battery clusters are in SL2 on test.
And the same is done to the R_L2_DK1, 2, … n, which represents the n data of the Kth forward peak value of the obtained test characteristic waveform when all the battery clusters are tested in SL2 on.
SL3 is in the on state:
R_L3_D1[1,2, … n ] represents n data of the 1 st forward peak value of the test characteristic waveform obtained respectively when all the battery clusters are in SL2 on test.
R_L3_D2[1,2, … n ] represents n data of the 2 nd forward wave peak value of the test characteristic waveform obtained respectively when all the battery clusters are in SL2 on test.
R_L3_D3[1,2, … n ] represents n data of the 3 rd forward peak value of the test characteristic waveform obtained respectively when all the battery clusters are in SL2 on test.
And the same is done to the R_L3_DK1, 2, … n, which represents the n data of the Kth forward peak value of the obtained test characteristic waveform when all the battery clusters are tested in the SL2 on test.
S705, calculating the combined and ordered data.
The specific calculation steps comprise:
the first step: and calculating the average value of the 1 st to K forward wave peaks of each cluster of characteristic waveforms when the SL1 is conducted.
D_L1[1] characterizes the average of the 1 st forward peak values of the resulting test signature when n clusters are tested for SL1 on.
D_L1[2] characterizes the average of the 2 nd forward peak values of the resulting test signature when n clusters are tested for SL1 on.
Until the average value of the kth peak point is calculated.
D_L1[ K ] represents the average value of the K-th forward wave peak value of the obtained test characteristic waveform when n clusters are subjected to SL1 on test
And a second step of: the sum of squares of the deviation values between the 1 st to K th peak points and the average value when SL1 is turned on for each battery cluster is calculated.
…
And a third step of: and (5) calculating the average value, and then opening to obtain the standard deviation of each battery cluster at the 1 st to K th peak points.
…
Fourth step: and by analogy, calculating the standard deviation of the 1 st to K th peak points of each battery cluster when the SL2 and the SL3 are conducted respectively.
And calculating standard deviation of each battery cluster at the 1 st to K th wave peak points under the condition that different sub-circuits in the resonant circuit group are in a conducting state, and guiding operation and maintenance of the energy storage system. The numerical value can represent the running conditions of the battery cluster and the high-voltage box, the detection data is compared with the consistency detection data of the product leaving factory or last time, and when the deviation value exceeds 20%, an Paiyun dimension personnel are required to further inspect and operate the battery cluster.
The detection method for the energy storage system can be used for daily detection and factory detection of the energy storage system. The detection data of each time are stored as detection records for later operation and maintenance.
As shown in connection with fig. 8, an embodiment of the present disclosure provides a detection apparatus 80 for an energy storage system, including a processor (processor) 800 and a memory (memory) 801. Optionally, the apparatus 80 may also include a communication interface (Communication Interface) 802 and a bus 803. The processor 800, the communication interface 802, and the memory 801 may communicate with each other via the bus 803. The communication interface 802 may be used for information transfer. The processor 800 may invoke logic instructions in the memory 801 to perform the detection methods for energy storage systems of the above-described embodiments.
Further, the logic instructions in the memory 801 described above may be implemented in the form of software functional units and sold or used as a separate product, and may be stored in a computer readable storage medium.
The memory 801 is a computer readable storage medium that may be used to store a software program, a computer executable program, and program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 800 executes the program instructions/modules stored in the memory 801 to perform the functional application and data processing, i.e., to implement the detection method for an energy storage system in the above-described embodiments.
The memory 801 may include a storage program area that may store an operating system, at least one application program required for functions, and a storage data area. The storage data area may store data created according to the use of the terminal device, etc. In addition, the memory 801 may include a high-speed random access memory, and may also include a nonvolatile memory.
In some embodiments, there is provided an energy storage system comprising: an energy storage body. The detection device for an energy storage system according to the above embodiment is mounted on the energy storage body.
Embodiments of the present disclosure provide a computer-readable storage medium storing computer-executable instructions configured to perform the above-described detection method for an energy storage system.
Embodiments of the present disclosure may be embodied in a software product stored on a storage medium, including one or more instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of a method according to embodiments of the present disclosure. While the aforementioned storage medium may be a non-transitory storage medium, such as: a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
The above description and the drawings illustrate embodiments of the disclosure sufficiently to enable those skilled in the art to practice them. Other embodiments may involve structural, logical, electrical, process, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in, or substituted for, those of others. Moreover, the terminology used in the present application is for the purpose of describing embodiments only and is not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a," "an," and "the" (the) are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this application is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, when used in this application, the terms "comprises," "comprising," and/or "includes," and variations thereof, mean that the stated features, integers, steps, operations, elements, and/or components are present, but that the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof is not precluded. Without further limitation, an element defined by the phrase "comprising one …" does not exclude the presence of other like elements in a process, method or apparatus comprising such elements. In this context, each embodiment may be described with emphasis on the differences from the other embodiments, and the same similar parts between the various embodiments may be referred to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method sections disclosed in the embodiments, the description of the method sections may be referred to for relevance.
Those of skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. The skilled artisan may use different methods for each particular application to achieve the described functionality, but such implementation should not be considered to be beyond the scope of the embodiments of the present disclosure. It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the embodiments disclosed herein, the disclosed methods, articles of manufacture (including but not limited to devices, apparatuses, etc.) may be practiced in other ways. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the units may be merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form. The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to implement the present embodiment. In addition, each functional unit in the embodiments of the present disclosure may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. In the description corresponding to the flowcharts and block diagrams in the figures, operations or steps corresponding to different blocks may also occur in different orders than that disclosed in the description, and sometimes no specific order exists between different operations or steps. For example, two consecutive operations or steps may actually be performed substantially in parallel, they may sometimes be performed in reverse order, which may be dependent on the functions involved. Each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Claims (17)
1. The detection method for the energy storage system is characterized in that the energy storage system comprises a cell stack and a detection system, and the detection system is connected to the cell stack; the cell stack comprises a plurality of cell clusters, and the detection system comprises a test circuit group and a resonance circuit group; the test circuit group comprises a plurality of test circuits which are arranged in parallel; the test circuit group is connected with the resonance circuit group in series, and the detection method comprises the following steps:
in response to the detection request, controlling n test circuits to be sequentially conducted;
under the condition that each test circuit is in conduction, controlling the resonant circuit group to work according to preset parameters;
the step of obtaining detection data of the battery clusters corresponding to each test circuit, and obtaining a plurality of groups of detection data corresponding to n battery clusters comprises the following steps:
for each test circuit, respectively acquiring detection data of a corresponding battery cluster when each sub-circuit is in a conducting state;
drawing a graph according to the corresponding detection data and detection time for each sub-circuit;
obtaining K wave peak values positioned on the forward side of the graph, and obtaining a peak value group corresponding to each sub-circuit;
obtaining corresponding M groups of peak values for each test circuit;
aiming at n test circuits, obtaining n multiplied by M peak groups;
Analyzing the plurality of groups of detection data to obtain an analysis result, including:
according to the conduction state of the M sub-circuits and the sequence of K wave peak values, carrying out combined sorting on the n multiplied by M group peak value groups to obtain M group characteristic value groups after sorting;
respectively calculating standard deviation of wave peak values of M groups of characteristic value groups;
determining an analysis result according to the standard deviation;
each characteristic value group comprises K wave crest groups, and each wave crest group comprises n wave crest values in the same sequence;
and sending out prompt information according to the analysis result.
2. The method of claim 1, wherein the step of controlling the plurality of test circuits to conduct in sequence comprises:
numbering n test circuits;
sequentially controlling n test circuits to be conducted according to a preset sequence;
when one of the n test circuits is in an on state, the other test circuits of the n test circuits are in an off state.
3. The method of claim 1, wherein the set of resonant circuits includes a plurality of sub-circuits arranged in parallel, and wherein the step of controlling operation of the set of resonant circuits according to the predetermined parameters includes:
controlling the M sub-circuits to be sequentially conducted;
inputting preset parameters to a plurality of sub-circuits under the condition that each sub-circuit is conducted;
Wherein the preset parameters comprise a pulse period and a duty cycle;
when one of the M sub-circuits is in an on state, the other of the M sub-circuits is in an off state.
4. The method of claim 1, wherein the step of separately calculating standard deviations of the peak values of the M sets of eigenvalues comprises:
calculating the average value of n wave peak values in each wave peak group in each characteristic value group;
obtaining K average values corresponding to each group of characteristic value groups;
respectively calculating the square sum of deviation values of n wave crest values in each of the K wave crest groups and corresponding average values to obtain K square sums;
and averaging each square sum of the K square sums and then squaring to obtain K standard deviation.
5. The method of claim 1, wherein the step of determining the analysis result based on the standard deviation comprises:
comparing the standard deviation with a preset threshold value;
and sending out operation and maintenance reminding information under the condition that the standard deviation is greater than or equal to a preset threshold value.
6. A detection apparatus for an energy storage system comprising a processor and a memory storing program instructions, wherein the processor is configured to perform the detection method for an energy storage system according to any one of claims 1 to 5 when the program instructions are run.
7. An energy storage system, comprising:
an energy storage body;
the detection device for an energy storage system of claim 6 mounted to an energy storage body;
the device comprises a cell stack and a detection system, wherein the detection system is connected with the cell stack and is used for detecting the characteristic quantity of the energy storage system;
a detection system, comprising: the test circuit group comprises a plurality of test circuits which are arranged in parallel; the resonance circuit group is connected in series with the test circuit group; the control system comprises a plurality of control ends, and the control ends are used for controlling the on-off states of the test circuit group and the resonance circuit group.
8. The energy storage system of claim 7, wherein the set of resonant circuits comprises:
a capacitor;
and the two ends of the reactance input circuit are respectively connected with the capacitor and the test circuit group in series.
9. The energy storage system of claim 8, wherein the reactive input circuit comprises:
a plurality of sub-circuits, the plurality of sub-circuits being arranged in parallel.
10. The energy storage system of claim 9, wherein the plurality of sub-circuits comprises:
a resistor;
the first insulated gate bipolar transistor is connected with the resistor in series, and the input grid electrode of the first insulated gate bipolar transistor is connected with the control end.
11. The energy storage system of claim 8, wherein the energy storage system comprises,
the capacitance is an adjustable capacitance.
12. The energy storage system of any of claims 7 to 11, wherein the test circuit comprises:
the second insulated gate bipolar transistor comprises a grid electrode, a collector electrode and an emitter electrode, wherein the grid electrode is connected with the control end and is used for receiving a control signal; the collector is used for being electrically connected with the energy storage system, and the emitter is connected with the resonant circuit group in series.
13. The energy storage system of any of claims 7 to 11, wherein the control system further comprises:
the voltage sampling end is used for collecting voltage values at two ends of the resonant circuit group;
and the current sampling end is used for collecting a current value.
14. The energy storage system of any of claims 7 to 11, wherein the cell stack comprises:
the battery clusters are arranged in parallel;
the number of the battery clusters is the same as that of the test circuits, the battery clusters and the test circuits are arranged in one-to-one correspondence, and one end of each test circuit is connected with the positive electrode of each battery cluster in series.
15. The energy storage system of claim 14, wherein the battery cluster comprises:
The battery packs are connected in series;
the high-voltage box is connected with the battery packs in series.
16. The energy storage system of claim 14, wherein the energy storage system comprises,
the number of the battery clusters ranges from 8 clusters to 12 clusters.
17. The energy storage system of any of claims 7 to 11, further comprising:
the total positive end is detachably and electrically connected with one end of the cell stack;
and the total negative terminal is electrically connected with the other end of the cell stack.
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| JP2019056561A (en) * | 2017-09-19 | 2019-04-11 | トヨタ自動車株式会社 | Battery abnormality diagnosis method |
| CN115189044A (en) * | 2022-06-21 | 2022-10-14 | 深圳市海德森科技股份有限公司 | Storage battery maintenance device |
| WO2022265121A1 (en) * | 2021-06-17 | 2022-12-22 | Kabushiki Kaisha Toyota Chuo Kenkyusho | Detection device, management apparatus, and detection method |
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| JP2019056561A (en) * | 2017-09-19 | 2019-04-11 | トヨタ自動車株式会社 | Battery abnormality diagnosis method |
| WO2022265121A1 (en) * | 2021-06-17 | 2022-12-22 | Kabushiki Kaisha Toyota Chuo Kenkyusho | Detection device, management apparatus, and detection method |
| CN115189044A (en) * | 2022-06-21 | 2022-10-14 | 深圳市海德森科技股份有限公司 | Storage battery maintenance device |
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