CN108802554B - Capacitor leakage abnormity detection method and system and computer equipment - Google Patents

Capacitor leakage abnormity detection method and system and computer equipment Download PDF

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Publication number
CN108802554B
CN108802554B CN201810608157.0A CN201810608157A CN108802554B CN 108802554 B CN108802554 B CN 108802554B CN 201810608157 A CN201810608157 A CN 201810608157A CN 108802554 B CN108802554 B CN 108802554B
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capacitor
leakage current
time
power supply
voltage value
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CN108802554A (en
Inventor
张伟先
文午
胡润文
李玉梅
张婷婷
付亚娥
柯建明
付鹏
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CRRC Zhuzhou Locomotive Co Ltd
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CRRC Zhuzhou Locomotive Co Ltd
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Priority to CN201810608157.0A priority Critical patent/CN108802554B/en
Publication of CN108802554A publication Critical patent/CN108802554A/en
Priority to PCT/CN2018/122278 priority patent/WO2019237704A1/en
Priority to DE112018007722.5T priority patent/DE112018007722T5/en
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • 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
    • G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • 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
    • G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/64—Testing of capacitors
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
    • B60L3/0023—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train
    • B60L3/0046—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train relating to electric energy storage systems, e.g. batteries or capacitors
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
    • B60L3/12—Recording operating variables ; Monitoring of operating variables
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L50/00—Electric propulsion with power supplied within the vehicle
    • B60L50/40—Electric propulsion with power supplied within the vehicle using propulsion power supplied by capacitors
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01G—CAPACITORS; CAPACITORS, RECTIFIERS, DETECTORS, SWITCHING DEVICES OR LIGHT-SENSITIVE DEVICES, OF THE ELECTROLYTIC TYPE
    • H01G11/00—Hybrid capacitors, i.e. capacitors having different positive and negative electrodes; Electric double-layer [EDL] capacitors; Processes for the manufacture thereof or of parts thereof
    • H01G11/08—Structural combinations, e.g. assembly or connection, of hybrid or EDL capacitors with other electric components, at least one hybrid or EDL capacitor being the main component
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01G—CAPACITORS; CAPACITORS, RECTIFIERS, DETECTORS, SWITCHING DEVICES OR LIGHT-SENSITIVE DEVICES, OF THE ELECTROLYTIC TYPE
    • H01G11/00—Hybrid capacitors, i.e. capacitors having different positive and negative electrodes; Electric double-layer [EDL] capacitors; Processes for the manufacture thereof or of parts thereof
    • H01G11/10—Multiple hybrid or EDL capacitors, e.g. arrays or modules
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01G—CAPACITORS; CAPACITORS, RECTIFIERS, DETECTORS, SWITCHING DEVICES OR LIGHT-SENSITIVE DEVICES, OF THE ELECTROLYTIC TYPE
    • H01G11/00—Hybrid capacitors, i.e. capacitors having different positive and negative electrodes; Electric double-layer [EDL] capacitors; Processes for the manufacture thereof or of parts thereof
    • H01G11/14—Arrangements or processes for adjusting or protecting hybrid or EDL capacitors
    • 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
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries

Abstract

The invention provides a method and a system for detecting capacitor leakage abnormity and computer equipment, wherein the method comprises the following steps: acquiring a voltage value V1 of the capacitor at a first time T1, and isolating and placing the voltage value V2 of the capacitor to a second time T2 after the first time T1; calculating an average leakage current I of the capacitor over the time period from T1 to T2 using prestored parameters of the T1, the T2, the V1, the V2 and the capacitor; judging whether the average leakage current I exceeds a preset threshold value or not; if yes, judging that the capacitance leakage is abnormal. The invention judges the abnormal state of the capacitor by calculating the voltage change of the capacitor after the capacitor is placed in an isolated state for a period of time, calculating the average leakage current of the capacitor during the period of time and judging whether the average leakage current is normal or not, so as to more conveniently detect the leakage abnormality of the capacitor, and the invention is simple, reliable and practical.

Description

Capacitor leakage abnormity detection method and system and computer equipment
Technical Field
The invention relates to the technical field of equipment detection, in particular to a method and a system for detecting capacitor leakage abnormity and computer equipment.
Background
A capacitor, as the name implies, is an 'electrically charged container', a device that contains an electrical charge. As a novel charge energy storage element, the super capacitor has the excellent characteristics of high capacity, large current, quick charge and discharge, long service life and no pollution. However, the rated voltage of the super capacitor is low, and in practical application, a plurality of super capacitors are combined in series and parallel to form a super capacitor energy storage power supply so as to meet the requirements of energy storage capacity and voltage level. However, under the influence of the manufacturing process, parameters such as capacity, equivalent parallel internal resistance and the like of the super capacitor monomers of the same type are different, the drain voltages are inconsistent, and the parameters can change along with the time. Under the working condition of large-current circulating charge and discharge, overvoltage and undervoltage of some monomers can be caused, the reliable operation of the super capacitor is influenced, the operation of the whole energy storage power supply is influenced, and the service life of the monomers is also influenced.
The conventional super capacitor leakage detection scheme is carried out by using detection equipment in a laboratory one-to-one manner, is accurate in measurement but slow in speed, and can be only carried out on a test line. In the practical application of the energy storage power supply, only after overvoltage and undervoltage faults occur, the fault single body (super capacitor) is detached, and the specific reason of the fault can be determined through laboratory tests.
Therefore, how to provide a more convenient method for detecting the capacitor leakage anomaly is simple, reliable and practical, and is a technical problem to be solved urgently by those skilled in the art.
Disclosure of Invention
In view of the above, the present invention provides a method and a system for detecting an abnormal leakage of a capacitor, and a computer device, which can detect an abnormal leakage of a capacitor more conveniently, and are simple and reliable to use. The specific scheme is as follows:
in a first aspect, the present invention provides a method for detecting an abnormal leakage of a capacitor, including:
acquiring a voltage value V1 of the capacitor at a first time T1, and isolating and placing the voltage value V2 of the capacitor to a second time T2 after the first time T1;
calculating an average leakage current I of the capacitor over the time period from T1 to T2 using prestored parameters of the T1, the T2, the V1, the V2 and the capacitor;
judging whether the average leakage current I exceeds a preset threshold value or not; if yes, judging that the capacitance leakage is abnormal.
In a second aspect, the invention provides a method for detecting an abnormal capacitor leakage, which is applied to leakage detection of a super capacitor of a tramcar energy storage power supply, and comprises the following steps:
acquiring a voltage value V1 of a first super capacitor of the energy storage power supply of the tramcar when the first super capacitor is activated at a first time T1, and after the first time T1, the first super capacitor is placed in a separated mode until a voltage value V2 of the first super capacitor is activated at a second time T2;
calculating a first average leakage current I of a first super-capacitor of the tram energy storage power supply in the time period from T1 to T2 by using prestored parameters of the T1, the T2, the V1, the V2 and the first super-capacitor of the tram energy storage power supply;
judging whether the first average leakage current I exceeds a preset threshold value; if yes, the first super capacitor is judged to be abnormal in leakage.
Preferably, the first and second electrodes are formed of a metal,
judging whether the first average leakage current I exceeds a preset threshold value or not; if yes, before judging that the first super capacitor is abnormal in leakage, the method further comprises the following steps:
calculating the average leakage current of all super capacitors of the energy storage power supply of the tramcar under the condition the same as the first average leakage current I is calculated;
and averaging the average leakage currents of all the super capacitors again to obtain a preset threshold value.
Preferably, the first and second electrodes are formed of a metal,
judging whether the first average leakage current I exceeds a preset threshold value or not; if yes, before judging that the first super capacitor is abnormal in leakage, the method further comprises the following steps:
setting the first historical leakage current as a preset threshold;
the first historical leakage current is a first average leakage current which is not historically judged to be abnormal in leakage current by the first super capacitor.
Preferably, the first and second electrodes are formed of a metal,
the acquiring a voltage value V1 of a first super capacitor of the energy storage power supply of the tramcar when the first super capacitor is activated at a first time T1 disconnection includes:
acquiring a real-time voltage value of a weak current power supply;
judging whether the real-time voltage value is smaller than a preset voltage value or not;
if yes, recording a first time T1, and correspondingly, the voltage value of the first super capacitor is V1;
and the weak current power supply is connected with a capacitor in parallel.
In a third aspect, the present invention provides a system for detecting an abnormal capacitor leakage, which is applied to the leakage detection of a super capacitor of a tramcar energy storage power supply, and includes:
the voltage moment acquisition module is used for acquiring a voltage value V1 when a first super capacitor of the energy storage power supply of the tramcar is activated at a first moment T1 and a voltage value V2 when the first super capacitor is activated at a second moment T2 after the first moment T1 in a separated mode;
a leakage current calculation module, configured to calculate a first average leakage current I of a first super-capacitor of the tram energy storage power supply in a time period from T1 to T2 by using prestored parameters of the T1, the T2, the V1, the V2, and the first super-capacitor of the tram energy storage power supply;
the abnormality judgment module is used for judging whether the first average leakage current I exceeds a preset threshold value; if yes, the first super capacitor is judged to be abnormal in leakage.
Preferably, the method further comprises the following steps:
the first leakage current calculation module is used for calculating the average leakage current of all super capacitors of the energy storage power supply of the tramcar under the condition that the average leakage current I is the same as the first average leakage current I;
and the first threshold value calculating module is used for calculating the average value of the average leakage currents of all the super capacitors again to obtain the preset threshold value.
Preferably, the method further comprises the following steps:
the second threshold acquisition module is used for setting the first historical leakage current as a preset threshold;
the first historical leakage current is a first average leakage current which is not historically judged to be abnormal in leakage current by the first super capacitor.
Preferably, the first and second electrodes are formed of a metal,
the voltage moment acquisition module comprises:
the weak current voltage acquisition unit is used for acquiring a real-time voltage value of a weak current power supply;
the voltage value judging module is used for judging whether the real-time voltage value is smaller than a preset voltage value or not;
a voltage value time recording unit, configured to record a first time T1 if the real-time voltage value is determined to be smaller than a preset voltage value, and correspondingly, the voltage value of the first super capacitor is V1 at this time;
and the weak current power supply is connected with a capacitor in parallel.
In a fourth aspect, the present invention provides a monitoring computer apparatus comprising:
a memory for storing a computer program;
and the processor is used for realizing the steps of any one of the capacitance leakage abnormity detection methods when the computer program is executed.
The invention provides a capacitor leakage abnormity detection method, which comprises the following steps: acquiring a voltage value V1 of the capacitor at a first time T1, and isolating and placing the voltage value V2 of the capacitor to a second time T2 after the first time T1; calculating an average leakage current I of the capacitor over the time period from T1 to T2 using prestored parameters of the T1, the T2, the V1, the V2 and the capacitor; judging whether the average leakage current I exceeds a preset threshold value or not; if yes, judging that the capacitance leakage is abnormal. The invention judges the abnormal state of the capacitor by calculating the voltage change of the capacitor after the capacitor is placed in an isolated state for a period of time, calculating the average leakage current of the capacitor during the period of time and judging whether the average leakage current is normal or not, so as to more conveniently detect the leakage abnormality of the capacitor, and the invention is simple, reliable and practical.
Particularly, when the method is applied to the leakage detection of the super capacitor of the energy storage power supply of the tramcar, the method can better adapt to the operation rule of the tramcar, can measure the voltage when the super capacitor of the energy storage power supply of the tramcar is activated, and can measure the voltage again when the super capacitor of the energy storage power supply of the tramcar is activated, so that the average leakage current of the super capacitor in the period of time can be calculated, and whether the super capacitor is normal or not can be judged.
The invention also provides a system for detecting the capacitor leakage abnormity and computer equipment, which also have the beneficial effects and are not described again.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a method for detecting an abnormal leakage of a capacitor according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for detecting abnormal leakage of a capacitor according to another embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating a system for detecting an abnormal leakage of a capacitor according to another embodiment of the present invention;
fig. 4 is a hardware configuration diagram of a capacitance leakage abnormality detection system according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below 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 derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a flowchart of a method for detecting an abnormal leakage of a capacitor according to an embodiment of the present invention.
In a specific implementation manner of the present invention, an embodiment of the present invention provides a method for detecting an abnormal leakage of a capacitor, including:
s11: acquiring a voltage value V1 of the capacitor at a first time T1, and isolating and placing the voltage value V2 of the capacitor to a second time T2 after the first time T1;
in the present embodiment, a voltage value V1 at a time T1 is first measured for a capacitor with a charge, i.e., a voltage, and the capacitor is isolated and placed for a period of time T2, and the voltage value V2 at this time is measured, so that the voltage difference of the capacitor at this time can be obtained from further calculation. The capacitance medium cannot be absolutely non-conductive, when the direct current voltage is added to the capacitance, the capacitor can generate leakage current, and if the leakage current is too large, the capacitance leakage can be judged to be abnormal.
S12: calculating an average leakage current I of the capacitor over the time period from T1 to T2 using prestored parameters of the T1, the T2, the V1, the V2 and the capacitor;
in the previous step, the voltage value V1 of the capacitor at the first time T1 is obtained, and the voltage value V2 of the capacitor after the first time T1 is isolated to the second time T2, so that the average leakage current I in the period of isolated placement of the capacitor can be further calculated by using the formula I ═ Δ U ═ C/Δ T ═ (V1-V2) × (C/(T2-T1), where C is the capacitance value of the capacitor, that is, the prestored parameter of the capacitor.
S13: judging whether the average leakage current I exceeds a preset threshold value or not; if yes, judging that the capacitance leakage is abnormal.
After the average leakage current I of the capacitor is calculated, the average leakage current I may be compared with a preset threshold, generally, the larger the average leakage current is, the larger the probability of occurrence of leakage abnormality of the capacitor is, for the setting of the preset threshold, a large number of capacitors that normally leave a factory, for example, one hundred capacitors, may be measured, and under the same condition, for example, the capacitors may be charged to a voltage value of V1, then the capacitors may be placed in isolation for the same time interval Δ T, and then the voltage value V3 after the capacitors are placed in isolation is measured, so that the normal average leakage current of the capacitors may be calculated, and the average leakage current may be set as the preset threshold.
The embodiment of the invention provides a method for detecting the leakage abnormity of a capacitor, which is simple, reliable and practical and can be applied to the judgment of the leakage abnormity of any capacitor by calculating the voltage change of the capacitor after the capacitor is placed in an isolated state for a period of time, calculating the average leakage current of the capacitor in the period of time and judging whether the average leakage current is normal or not so as to judge the abnormal state of the capacitor, thereby more conveniently detecting the leakage abnormity of the capacitor.
Referring to fig. 2, fig. 2 is a flowchart illustrating a method for detecting an abnormal leakage of a capacitor according to another embodiment of the present invention.
In a specific implementation manner of the present invention, an embodiment of the present invention provides a method for detecting an abnormal capacitor leakage, where the method is applied to detecting a leakage of a super capacitor of an energy storage power supply of a tramcar, and includes:
s21: acquiring a voltage value V1 of a first super capacitor of the energy storage power supply of the tramcar when the first super capacitor is activated at a first time T1, and after the first time T1, the first super capacitor is placed in a separated mode until a voltage value V2 of the first super capacitor is activated at a second time T2;
s22: calculating a first average leakage current I of a first super-capacitor of the tram energy storage power supply in the time period from T1 to T2 by using prestored parameters of the T1, the T2, the V1, the V2 and the first super-capacitor of the tram energy storage power supply;
s23: judging whether the first average leakage current I exceeds a preset threshold value; if yes, the first super capacitor is judged to be abnormal in leakage.
In the present embodiment, the measurement principle is basically the same as that of the previous embodiment, and the detection of the leakage of the super capacitor of the energy storage power supply of the tramcar is further applied specifically according to the operation rule of the tramcar. Specifically, by combining the operation condition of the energy storage type tramcar, when the operation of the energy storage type tramcar is finished and the activation is stopped when the operation of the energy storage type tramcar returns to a warehouse, the voltage of the super capacitor is detected, and when the next day of the operation of the tramcar leaves the warehouse, the voltage difference and the time interval of two times are used for judging the electric leakage of the capacitor.
Specifically, when the preset threshold of the method is set, the preset threshold can also be set according to the structure and structure of the super capacitor of the energy storage power supply of the rail train, for example, for a specific energy storage power supply of the tramcar: 2 super capacitor monomers are parallelly connected into 1 module, 8 modules are connected into 1 module in series, 43 modules are connected into an energy storage power supply main loop in series, and in addition, a CMS management system and the like form an energy storage power supply. Therefore, the energy storage power supply consists of 344 modules (two capacitors are connected in parallel to form a module, which can be regarded as a large super capacitor), and the parameters of the modules are the same.
Therefore, when a preset threshold value is specifically set, the average leakage current of all super capacitors of the energy storage power supply of the tramcar under the condition the same as the first average leakage current I is calculated can be calculated firstly; and averaging the average leakage currents of all the super capacitors again to obtain a preset threshold value. Since it is unlikely that leakage abnormalities occur simultaneously in a large proportion of modules as a whole, and the time period of use and the operating condition of these modules are substantially the same, the aging conditions are substantially the same, so in this case, even if a leakage abnormality occurs in one of the modules, it is unlikely that such a large amount of average leakage current affects the degree of abnormality, so the preset threshold value can be obtained by this method. Of course, the preset threshold obtained by the calculation method may also be floated up and down in a certain proportion, for example, ten percent.
Further, another method may be adopted to obtain the preset threshold, for example, the average leakage current of the super capacitor that was not determined as the leakage anomaly last time may be recorded as the next preset threshold. That is, the first history leakage current is set to a preset threshold; the first historical leakage current is a first average leakage current which is not historically judged to be abnormal in leakage current by the first super capacitor.
It should be noted that, on the basis of the above-mentioned embodiment, in the present embodiment, in order to measure the voltage value V1 when the first super capacitor of the energy storage power supply of the tram is activated at the first time T1, the real-time voltage value of the weak current power supply may be obtained first; judging whether the real-time voltage value is smaller than a preset voltage value or not; if yes, recording a first time T1, and correspondingly, the voltage value of the first super capacitor is V1; and the weak current power supply is connected with a capacitor in parallel. That is to say, in the embodiment of the present invention, 1 capacitor, for example, an electrolytic capacitor, is added to the power supply of the main control board, and when the vehicle is turned off, the power supply of the vehicle is decreased at a certain slope due to the existence of the electrolytic capacitor, and meanwhile, a power failure detection chip is added to the main control board, and when the power supply voltage is decreased to a set value, data is stored.
When the capacitor leakage abnormity detection method is applied to leakage detection of the super capacitor of the energy storage power supply of the tramcar, the operation rule of the tramcar can be better adapted, when the super capacitor of the energy storage power supply of the tramcar is activated, voltage can be measured, and when the super capacitor of the energy storage power supply of the tramcar is activated, the voltage is measured again, so that the average leakage current of the super capacitor in the period of time can be calculated, and whether the super capacitor is normal or not is further judged.
Referring to fig. 3, fig. 3 is a schematic diagram illustrating a capacitance leakage anomaly detection system according to another embodiment of the present invention.
In another embodiment of the present invention, the present invention provides a system 300 for detecting an abnormal capacitor leakage, which is applied to detecting leakage of a super capacitor of a tramcar energy storage power supply, and includes:
the voltage moment acquisition module 301 is configured to acquire a voltage value V1 when a first super capacitor of the energy storage power supply of the tramcar is activated at a first moment T1, and a voltage value V2 when the first super capacitor is activated at a second moment T2 after the first moment T1;
a leakage current calculation module 302, configured to calculate a first average leakage current I of a first super-capacitor of the tram energy storage power source in a time period from the T1 to the T2 by using pre-stored parameters of the T1, the T2, the V1, the V2, and the first super-capacitor of the tram energy storage power source;
an anomaly determination module 303, configured to determine whether the first average leakage current I exceeds a preset threshold; if yes, the first super capacitor is judged to be abnormal in leakage.
Preferably, the capacitance leakage abnormality detection system further includes:
the first leakage current calculation module is used for calculating the average leakage current of all super capacitors of the energy storage power supply of the tramcar under the condition that the average leakage current I is the same as the first average leakage current I;
and the first threshold value calculating module is used for calculating the average value of the average leakage currents of all the super capacitors again to obtain the preset threshold value.
Preferably, the capacitance leakage abnormality detection system further includes:
the second threshold acquisition module is used for setting the first historical leakage current as a preset threshold;
the first historical leakage current is a first average leakage current which is not historically judged to be abnormal in leakage current by the first super capacitor.
Preferably, the first and second electrodes are formed of a metal,
the voltage moment acquisition module comprises:
the weak current voltage acquisition unit is used for acquiring a real-time voltage value of a weak current power supply;
the voltage value judging module is used for judging whether the real-time voltage value is smaller than a preset voltage value or not;
a voltage value time recording unit, configured to record a first time T1 if the real-time voltage value is determined to be smaller than a preset voltage value, and correspondingly, the voltage value of the first super capacitor is V1 at this time;
and the weak current power supply is connected with a capacitor in parallel.
Referring to fig. 4, fig. 4 is a hardware structure diagram of a capacitance leakage anomaly detection system according to an embodiment of the present invention.
Specifically, the invention takes a tramcar energy storage power supply as an example: 2 super capacitor monomers are connected in parallel to form a module, 8 modules are connected in series to form a module, 43 modules are connected in series to form an energy storage power supply main loop, and a CMS management system and the like are added to form an energy storage power supply. The whole energy storage power supply consists of 344 modules, and the capacity, the internal resistance and the electric leakage of each module are important parameters of the consistency of the modules.
In order to be suitable for high-power charging and discharging, each module is provided with 1 voltage balancing unit which is responsible for functions of module voltage acquisition, fault judgment and identification, module voltage balancing, data communication and the like, CAN communication is adopted among the voltage balancing units, module voltage values, fault information, module temperature information and the like are sent to a main control board through a CAN bus, and the main control board sends corresponding display to a vehicle display screen through CAN (or MVB), as shown in figure 1. When a vehicle normally runs, the voltage equalization unit can send the voltage value of the module to the main control board in each period, because the data volume is huge, the main control board only can dynamically store a certain amount of data in real time, and the data can be lost after power failure, so that at the moment of power failure, the data stored in the main memory (memory) is stored in the auxiliary memory (external memory, and the data is not lost when power failure occurs).
When the energy storage type tramcar is operated to return to the warehouse at the time of T1 for daily maintenance and outage activation, the voltage V1 of each module of the energy storage power supply is read and stored by the system, and when the operation is activated when the tramcar is taken out of the warehouse at the time of T2, the voltage V2 of each module of the energy storage power supply is read again and stored by the system.
The leakage voltage of each module in the time T2-T1 is as follows: V1-V2.
From Δ U ═ I × Δ T/C, the average leakage current can be calculated.
I＝ΔU*C/ΔT＝(V1-V2)*C/(T2-T1)
The capacity of the module also influences the change value of the voltage, the larger the capacity is, the smaller the change value of the voltage is in the same time, but the capacity difference among the modules can cause the overvoltage or undervoltage phenomenon of the module under the working condition of circulating charge and discharge of the energy storage power supply, and the reliable operation of the energy storage power supply is also influenced.
In the project operation, the purpose of detecting the leakage current is mainly to determine a module with abnormal leakage current. The judging method mainly adopts a method of combining historical data and relative data. Therefore, all the module capacities are regarded as the same reference value C equal to 1, and the relative leakage current is used as the basis for judging the module abnormality.
I.e. (V1-V2)/(T2-T1) ═ k Δ U, k ═ 1/(T2-T1)
Hypothesis testing data IMX0＝k1ΔUx0The relative leakage current value of the xth block,
therefore, each relative leakage current value can be calculated, and the relative leakage current values are further averaged and calculated.
Historical relative leakage current value IMX1＝k1ΔUx1Detecting a leakage current value of the Xth module with normal last leakage current;
the detection data is compared with the historical data, and when the detection data is n times of the historical data, the module is determined to have electric leakage abnormality. And comparing the detection data with the average data, and determining that the module has the abnormal leakage when the detection data is m times of the average value.
I.e. IMX0/IMX1> n or IMX0/IMAVGIf the current leakage of the x-th module is more than m, (n is more than 1, and m is more than 1), the system sends out an alarm to inform the vehicle that the module x needs to be replaced.
Before the embodiment of the invention is not provided, the leakage abnormity can be known only after the module generates serious overvoltage and undervoltage and then returns to a factory for testing, and by adopting the technical scheme of the embodiment of the invention, the fault can be judged and identified in advance, so that the prevented fault is further expanded. Meanwhile, the leakage data can be collected every day, the big data is collected for analysis, and the method has a good supporting effect on analyzing the reasons caused by the leakage abnormity.
In another embodiment of the present invention, a monitoring computer device is provided, including:
a memory for storing a computer program;
a processor, configured to implement the steps of the capacitance leakage anomaly detection method provided in any of the above embodiments when the computer program is executed.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses, devices and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another apparatus, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed 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 can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a function calling device, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The method, the system and the computer device for detecting the capacitor leakage anomaly provided by the invention are described in detail, a specific example is applied in the text to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (5)

1. A capacitance leakage abnormity detection method is applied to leakage detection of a super capacitor of an energy storage power supply of a tramcar, and comprises the following steps:
acquiring a voltage value V1 of a first super capacitor of the energy storage power supply of the tramcar when the first super capacitor is activated at a first time T1, and after the first time T1, the first super capacitor is placed in a separated mode until a voltage value V2 of the first super capacitor is activated at a second time T2;
calculating a first average leakage current I of a first super-capacitor of the tram energy storage power supply in the time period from T1 to T2 by using prestored parameters of the T1, the T2, the V1, the V2 and the first super-capacitor of the tram energy storage power supply;
judging whether the first average leakage current I exceeds a preset threshold value; if yes, judging that the first super capacitor is abnormal in electric leakage;
judging whether the first average leakage current I exceeds a preset threshold value or not; if yes, before judging that the first super capacitor is abnormal in leakage, the method further comprises the following steps:
calculating the average leakage current of all super capacitors of the energy storage power supply of the tramcar under the condition the same as the first average leakage current I is calculated;
averaging the average leakage currents of all the super capacitors again to obtain a preset threshold value;
or, judging whether the first average leakage current I exceeds a preset threshold value; if yes, before judging that the first super capacitor is abnormal in leakage, the method further comprises the following steps:
setting the first historical leakage current as a preset threshold;
the first historical leakage current is a first average leakage current which is not historically judged to be abnormal in leakage current by the first super capacitor.
2. The capacitance leakage abnormality detection method according to claim 1,
the acquiring a voltage value V1 of a first super capacitor of the energy storage power supply of the tramcar when the first super capacitor is activated at a first time T1 disconnection includes:
acquiring a real-time voltage value of a weak current power supply;
judging whether the real-time voltage value is smaller than a preset voltage value or not;
if yes, recording a first time T1, and correspondingly, the voltage value of the first super capacitor is V1;
and the weak current power supply is connected with a capacitor in parallel.
3. A capacitance leakage anomaly detection system is applied to leakage detection of a super capacitor of a tramcar energy storage power supply, and comprises:
the voltage moment acquisition module is used for acquiring a voltage value V1 when a first super capacitor of the energy storage power supply of the tramcar is activated at a first moment T1 and a voltage value V2 when the first super capacitor is activated at a second moment T2 after the first moment T1 in a separated mode;
a leakage current calculation module, configured to calculate a first average leakage current I of a first super-capacitor of the tram energy storage power supply in a time period from T1 to T2 by using prestored parameters of the T1, the T2, the V1, the V2, and the first super-capacitor of the tram energy storage power supply;
the abnormality judgment module is used for judging whether the first average leakage current I exceeds a preset threshold value; if yes, judging that the first super capacitor is abnormal in electric leakage;
further comprising:
the first leakage current calculation module is used for calculating the average leakage current of all super capacitors of the energy storage power supply of the tramcar under the condition that the average leakage current I is the same as the first average leakage current I;
the first threshold value calculating module is used for calculating the average value of the average leakage currents of all the super capacitors again to obtain a preset threshold value;
or, further comprising:
the second threshold acquisition module is used for setting the first historical leakage current as a preset threshold;
the first historical leakage current is a first average leakage current which is not historically judged to be abnormal in leakage current by the first super capacitor.
4. The system for detecting abnormality in capacitive leakage according to claim 3,
the voltage moment acquisition module comprises:
the weak current voltage acquisition unit is used for acquiring a real-time voltage value of a weak current power supply;
the voltage value judging module is used for judging whether the real-time voltage value is smaller than a preset voltage value or not;
a voltage value time recording unit, configured to record a first time T1 if the real-time voltage value is determined to be smaller than a preset voltage value, and correspondingly, the voltage value of the first super capacitor is V1 at this time;
and the weak current power supply is connected with a capacitor in parallel.
5. A detection computer device, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the method for detecting an abnormality in capacitive leakage according to any one of claims 1 to 2 when executing the computer program.
CN201810608157.0A 2018-06-13 2018-06-13 Capacitor leakage abnormity detection method and system and computer equipment Active CN108802554B (en)

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