WO2019237704A1 - 一种电容漏电异常检测方法及系统、计算机设备 - Google Patents

一种电容漏电异常检测方法及系统、计算机设备 Download PDF

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Publication number
WO2019237704A1
WO2019237704A1 PCT/CN2018/122278 CN2018122278W WO2019237704A1 WO 2019237704 A1 WO2019237704 A1 WO 2019237704A1 CN 2018122278 W CN2018122278 W CN 2018122278W WO 2019237704 A1 WO2019237704 A1 WO 2019237704A1
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Prior art keywords
capacitor
leakage current
time
voltage value
leakage
Prior art date
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Ceased
Application number
PCT/CN2018/122278
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English (en)
French (fr)
Inventor
张伟先
文午
胡润文
李玉梅
张婷婷
陈朝晖
付亚娥
柯建明
陈盛才
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 DE112018007722.5T priority Critical patent/DE112018007722T5/de
Publication of WO2019237704A1 publication Critical patent/WO2019237704A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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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
    • 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
    • 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
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01G—CAPACITORS; CAPACITORS, RECTIFIERS, DETECTORS, SWITCHING DEVICES, LIGHT-SENSITIVE OR TEMPERATURE-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, LIGHT-SENSITIVE OR TEMPERATURE-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, LIGHT-SENSITIVE OR TEMPERATURE-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

Definitions

  • the present invention relates to the technical field of equipment detection, and in particular, to a method and system for detecting an abnormality of capacitor leakage, and computer equipment.
  • a capacitor is a 'container for charging', a device that holds a charge.
  • supercapacitor As a new type of charge energy storage element, supercapacitor has the characteristics of large capacity, large current fast charge and discharge, long life and no pollution. However, the super capacitor has a low rated voltage.
  • multiple super capacitors are generally combined in series and parallel to form a super capacitor energy storage power supply to meet the needs of energy storage capacity and voltage level.
  • the capacity, equivalent parallel internal resistance, and other parameters of the same type of supercapacitors are different, the leakage voltage is not the same, and this parameter will change over time. Under the conditions of high-current cycling charge and discharge, it will cause overvoltage and undervoltage of certain cells, affecting the reliable operation of supercapacitors, affecting the operation of the entire energy storage power supply, and also affecting the life of the cells.
  • an object of the present invention is to provide a method and a system for detecting a leakage current of a capacitor, and a computer device, which can more conveniently detect a leakage abnormality of a capacitor, which is simple, reliable, and practical.
  • the specific scheme is as follows:
  • the present invention provides a method for detecting an abnormality of capacitor leakage, including:
  • the present invention provides a method for detecting an abnormality of a capacitor leakage, which is applied to the leakage detection of a supercapacitor of a tramcar energy storage power supply, including:
  • the method further includes:
  • the average leakage current of all supercapacitors is averaged again to obtain a preset threshold.
  • the method further includes:
  • the first historical leakage current is a first average leakage current that has not been determined to be an abnormal leakage current in the history of the first ultracapacitor.
  • the obtaining the voltage value V1 of the first supercapacitor of the energy storage power supply of the tram when the T1 is deactivated at the first moment includes:
  • a capacitor is connected in parallel with the weak electric power supply.
  • the present invention provides a capacitor leakage abnormality detection system, which is applied to the leakage detection of a supercapacitor of a tram vehicle energy storage power supply, including:
  • the voltage moment acquisition module is used to obtain the voltage value V1 of the first supercapacitor of the streetcar energy storage power supply when the first moment T1 is deactivated, and is isolated and placed after the first moment T1 until the second moment T2 is activated Voltage value V2;
  • the leakage current calculation module is configured to use the T1, the T2, the V1, the V2, and a pre-stored parameter of the first supercapacitor of the railcar energy storage power source to calculate the railcar energy storage power source A first average leakage current I of the first supercapacitor in the time period from T1 to T2;
  • An abnormality determining module is configured to determine whether the first average leakage current I exceeds a preset threshold; if yes, determine that the first ultracapacitor is leaking abnormally.
  • it further comprises:
  • a first leakage current calculation module configured to calculate an average leakage current of all supercapacitors of the streetcar energy storage power source under the same conditions as the first average leakage current I;
  • the first threshold obtaining module is configured to obtain an average of the average leakage currents of all supercapacitors again to obtain a preset threshold.
  • it further comprises:
  • a second threshold obtaining module configured to set the first historical leakage current to a preset threshold
  • the first historical leakage current is a first average leakage current that has not been determined to be an abnormal leakage current in the history of the first ultracapacitor.
  • the voltage time obtaining module includes:
  • Weak voltage acquisition unit used to obtain the real-time voltage value of the weak power supply
  • a voltage value judgment module configured to determine whether the real-time voltage value is less than a preset voltage value
  • the voltage value time recording unit is configured to record a first time T1 at this time if it is determined that the real-time voltage value is less than a preset voltage value, and accordingly, the voltage value of the first super capacitor at this time is V1;
  • a capacitor is connected in parallel with the weak electric power supply.
  • the present invention provides a monitoring computer device, including:
  • a processor configured to implement the steps of any one of the foregoing methods for detecting a capacitor leakage abnormality when the computer program is executed.
  • the invention provides a method for detecting a capacitor leakage abnormality, which comprises: obtaining a voltage value V1 of a capacitor at a first time T1, and isolating and placing the voltage value V2 of a capacitor after a first time T1 to a second time T2; using the T1, the T2, the pre-stored parameters of the V1, the V2, and the capacitor, and calculate an average leakage current I of the capacitor in the time period from T1 to T2; determine whether the average leakage current I exceeds a preset threshold; If so, it is determined that the capacitor leakage is abnormal.
  • the invention calculates the voltage change of the capacitor after it has been isolated for a period of time, calculates the average leakage current of the capacitor during this time, and judges whether the average leakage current is normal, so as to judge the abnormal state of the capacitor, so as to further It is convenient, reliable and practical to detect the abnormal leakage of the capacitor.
  • the method when the method is applied to the leakage detection of the supercapacitors of the energy storage power supply of the tram, it can better adapt to the operating rules of the tram.
  • the supercapacitor of the tram's energy storage power supply When the supercapacitor of the tram's energy storage power supply is activated, the voltage is measured again, so that the average leakage current of the supercapacitor during this time can be calculated, and whether the supercapacitor is normal or not.
  • the present invention also provides a capacitor leakage abnormality detection system and computer equipment, which also have the above-mentioned beneficial effects, and will not be repeated here.
  • FIG. 1 is a flowchart of a method for detecting a capacitor leakage abnormality according to a specific embodiment of the present invention
  • FIG. 2 is a flowchart of a method for detecting a capacitor leakage abnormality according to another embodiment of the present invention
  • FIG. 3 is a schematic structural diagram of a capacitor leakage abnormality detection system according to another embodiment of the present invention.
  • FIG. 4 is a hardware structural diagram of a capacitor leakage abnormality detection system according to a specific embodiment of the present invention.
  • FIG. 5 is a flowchart of a method for detecting an abnormality of a capacitor leakage current applied to an energy storage type tram provided by a specific embodiment of the present invention
  • FIG. 6 is an expanded flowchart of a method for detecting an abnormality of a capacitor leakage current applied to an energy storage tram according to a specific embodiment of the present invention.
  • FIG. 1 is a flowchart of a method for detecting an abnormality of capacitor leakage provided by a specific embodiment of the present invention.
  • an embodiment of the present invention provides a method for detecting an abnormal capacitance leakage, including:
  • a capacitor medium first measure a voltage value V1 of a capacitor having a charge, that is, a voltage, at a time T1, and isolate the capacitor for a period of time to T2, and measure the voltage value V2 at this time, so that The voltage difference of the capacitor in this time period can be obtained from further calculations. It is impossible for a capacitor medium to be absolutely non-conductive. When a DC voltage is applied to a capacitor, a leakage current will be generated in the capacitor. If the leakage current is too large, it can be determined that the capacitor has an abnormal leakage.
  • S12 Calculate the average leakage current I of the capacitor in the time period from T1 to T2 by using the pre-stored parameters of the T1, the T2, the V1, the V2, and the capacitor;
  • the voltage value V1 of the capacitor at the first time T1 is obtained, and the voltage value V2 of the capacitor is placed in isolation after the first time T1 to the second time T2, so that this segment of the capacitor can be further calculated.
  • the average leakage current I of the capacitor After calculating the average leakage current I of the capacitor, it can be compared with a preset threshold value. Generally, the larger the average leakage current, the greater the probability of leakage abnormality of the capacitor. For the setting of the preset threshold value, you can Determining a large number of such capacitors that are normally shipped, such as one hundred such capacitors, you can determine that these capacitors are in the same situation, for example, charge these capacitors to the V1 voltage value, and then place them at the same time interval ⁇ T, and then measure them After the voltage value V3, the normal average leakage current of the capacitor can be calculated.
  • the average leakage current can be set as a preset threshold. Of course, a range can be set. For example, the average leakage current can be set. Within a certain percentage of the upper and lower limits are preset thresholds, for example, you can set the upper and lower floating ten percent.
  • An embodiment of the present invention provides a method for detecting an abnormal leakage current of a capacitor.
  • FIG. 2 is a flowchart of a method for detecting an abnormality of a capacitor leakage current according to another embodiment of the present invention.
  • an embodiment of the present invention provides a method for detecting an abnormality of a capacitor leakage.
  • the method is applied to the leakage detection of a supercapacitor of a railcar energy storage power source, including:
  • S22 Use the pre-stored parameters of the T1, the T2, the V1, the V2, and the first supercapacitor of the railcar energy storage power source to calculate the first supercapacitor of the railcar energy storage power source A first average leakage current I during the time period from T1 to T2;
  • S23 Determine whether the first average leakage current I exceeds a preset threshold; if yes, determine that the first ultracapacitor is leaking abnormally.
  • the measurement principle is basically the same as that of the previous specific embodiment, and the leakage detection of the supercapacitor of the energy storage power supply of the tram is further applied according to the operating rules of the rail train. Specifically, in conjunction with the operation of the energy-storage tram, the supercapacitor voltage is detected when the energy-storage tram operation is completed and the deactivation is returned to the depot, and when the vehicle is deactivated the next day, the supercapacitor voltage is detected. Voltage difference and time interval to determine the magnitude of capacitor leakage.
  • the preset threshold of the method when it is set, it can also be set according to the structure and structure of the supercapacitor of the energy storage power supply of the rail train.
  • a specific energy storage power supply of a tram is provided.
  • 2 super capacitors 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 the main circuit of the energy storage power supply
  • a CMS management system is used to form an energy storage power supply. Therefore, the energy storage power supply consists of 344 modules (two capacitors in parallel form a module, which can be regarded as a large super capacitor), and the parameters of these modules are the same.
  • the preset threshold when the preset threshold is specifically set, the average leakage current of all supercapacitors of the streetcar energy storage power source under the same conditions as the first average leakage current I can be calculated first; The average leakage current of the capacitor is averaged again to obtain a preset threshold. Because, as a whole, it is unlikely that a large proportion of modules will have leakage current at the same time, and the operating time and working conditions of these modules are basically the same, so the aging situation is basically the same. In this case, even one of them The module has an abnormal leakage current, and it is unlikely to affect such a large amount of average leakage current to the extent of the abnormality, so a preset threshold can be obtained by this method. Of course, the preset threshold value obtained by this calculation method may also be floated up and down in a certain proportion, for example, ten percent.
  • the preset threshold for example, the average leakage current of the supercapacitor that was not determined to be an abnormal leakage current last time may be recorded as the next preset threshold. That is, the first historical leakage current is set as a preset threshold; wherein the first historical leakage current is a first average leakage current that has not been determined as an abnormal leakage current in the history of the first super capacitor.
  • the weak electric power supply has a capacitor in parallel. That is to say, in the embodiment of the present invention, a capacitor is added to the power supply of the main control board. For example, it can be a point decoupling capacitor.
  • the capacitor leakage abnormality detection method is applied to the leakage detection of the supercapacitors of the energy storage power supply of the tram, which can better adapt to the operating rules of the tram.
  • the supercapacitors of the energy storage power supply of the tram When the supercapacitors of the energy storage power supply of the tram is deactivated, the voltage can be measured. When the supercapacitor of the tram's energy storage power supply is activated, the voltage is measured again, so that the average leakage current of the supercapacitor during this time can be calculated, and whether the supercapacitor is normal or not.
  • FIG. 3 is a schematic diagram of a capacitor leakage abnormality detection system according to another embodiment of the present invention.
  • the present invention provides a capacitor leakage abnormality detection system 300, which is applied to the leakage detection of a supercapacitor of a tram vehicle energy storage power supply, including:
  • the voltage moment obtaining module 301 is used to obtain the voltage value V1 of the first supercapacitor of the streetcar energy storage power supply when the first moment T1 is deactivated, and is isolated and placed after the first moment T1 until the second moment T2 is activated Voltage value V2;
  • the leakage current calculation module 302 is configured to use the pre-stored parameters of the T1, the T2, the V1, the V2, and the first supercapacitor of the streetcar energy storage power source to calculate the streetcar energy storage.
  • the abnormality determining module 303 is configured to determine whether the first average leakage current I exceeds a preset threshold; if it is, determine that the first supercapacitor is leaking abnormally.
  • the capacitive leakage abnormality detection system further includes:
  • a first leakage current calculation module configured to calculate an average leakage current of all supercapacitors of the streetcar energy storage power source under the same conditions as the first average leakage current I;
  • the first threshold obtaining module is configured to obtain an average of the average leakage currents of all supercapacitors again to obtain a preset threshold.
  • the capacitive leakage abnormality detection system further includes:
  • a second threshold obtaining module configured to set the first historical leakage current to a preset threshold
  • the first historical leakage current is a first average leakage current that has not been determined to be an abnormal leakage current in the history of the first ultracapacitor.
  • the voltage time obtaining module includes:
  • Weak voltage acquisition unit used to obtain the real-time voltage value of the weak power supply
  • a voltage value judgment module configured to determine whether the real-time voltage value is less than a preset voltage value
  • the voltage value time recording unit is configured to record a first time T1 at this time if it is determined that the real-time voltage value is less than a preset voltage value, and accordingly, the voltage value of the first super capacitor at this time is V1;
  • a capacitor is connected in parallel with the weak electric power supply.
  • FIG. 4 is a hardware structural diagram of a capacitor leakage detection system according to a specific embodiment of the present invention.
  • FIG. 5 is an application provided by a specific embodiment of the present invention.
  • FIG. 6 is a flowchart of a method for detecting an abnormality of capacitor leakage in an energy-storage tram according to a specific embodiment of the present invention.
  • the present invention takes the energy storage power supply of a tram as an example: 2 super capacitors are connected in parallel to form a module, 8 modules are connected in series to form a module, and 43 modules are connected in series to form the main circuit of the energy storage power supply.
  • the CMS management system and other components constitute the energy storage power supply.
  • the entire energy storage power supply consists of 344 modules. The capacity, internal resistance and leakage of each module are important parameters for module consistency.
  • each module has a voltage equalization unit, which is responsible for module voltage acquisition, fault determination and identification, module voltage equalization, and data communication.
  • CAN communication is used between the voltage equalization units through the CAN bus. Send the module voltage value, fault information, module temperature information, etc. to the main control board, and then the main control board sends the corresponding display to the vehicle display screen through CAN (or MVB), as shown in Figure 4.
  • the voltage equalization unit will send the module's voltage value to the main control board every cycle. Due to the huge amount of data, the main control board will only save a certain amount of data in real time and dynamically. After power failure, the data It will also be lost.
  • the invention patent is on the main control board.
  • An electrolytic capacitor is added to the power supply.
  • the vehicle is deactivated, due to the presence of the electrolytic capacitor, its power supply rises and falls at a certain slope.
  • a power-down detection chip is added to the main control board. When the power supply voltage drops to the setting, The value is stored in the data.
  • the system reads the voltage V1 of each module of the energy storage power supply and saves it.
  • the system reads the energy storage again. The voltage V2 of each module of the power supply is saved.
  • the leakage voltage of each module during T2-T1 time is: V1-V2.
  • the capacity of the module also affects the voltage change value. The larger the capacity, the smaller the voltage change value in the same time. However, the difference in capacity between modules will cause the energy storage power supply to operate under cyclic charging and discharging conditions. Overvoltage or undervoltage phenomenon also affects the reliable operation of the energy storage power supply.
  • the purpose of detecting leakage current is mainly to determine the module of abnormal leakage.
  • each relative leakage current value can be calculated, and these relative leakage current values can be further averaged.
  • the historical relative leakage current value I MX1 k 1 ⁇ U x1 , the detection leakage current value of the Xth module with the normal leakage current last time;
  • the detection data is compared with historical data. When the detection data is n times the historical data, it is determined that the module has an abnormal leakage. The detection data is compared with the average data. When the detection data is m times the average value, the module's leakage is considered abnormal.
  • the leakage leakage abnormality was known. After the technical solution of the embodiment of the patent is adopted, the failure can be determined and identified in advance to prevent the failure Further expansion. At the same time, leakage data can be collected every day, and big data analysis can be collected, which has a very good supporting role in analyzing the cause of abnormal leakage.
  • an embodiment of the present invention provides a monitoring computer device, including:
  • a processor is configured to implement the steps of the method for detecting a capacitor leakage abnormality provided in any one of the foregoing specific implementations when the computer program is executed.
  • the disclosed devices, devices, and methods may be implemented in other ways.
  • the device embodiments described above are only schematic.
  • the division of units is only a logical function division.
  • multiple units or components may be combined or integrated.
  • the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, which may be electrical, mechanical or other forms.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objective of the solution of this embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each of the units may exist separately physically, or two or more units may be integrated into one unit.
  • the above integrated unit may be implemented in the form of hardware or in the form of software functional unit.
  • the integrated unit When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium.
  • the technical solution of the present application is essentially a part that contributes to the existing technology or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium , Including a number of instructions to enable a computer device (which may be a personal computer, a function calling device, or a network device, etc.) to perform all or part of the steps of the method of each embodiment of the present application.
  • the aforementioned storage medium includes: a U disk, a mobile hard disk, and a read-only memory
  • ROM Read-Only Memory
  • RAM Random Access Memory
  • magnetic disks or compact discs and other media that can store program codes.

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  • Power Engineering (AREA)
  • General Physics & Mathematics (AREA)
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  • Physics & Mathematics (AREA)
  • Microelectronics & Electronic Packaging (AREA)
  • Life Sciences & Earth Sciences (AREA)
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  • Sustainable Energy (AREA)
  • Testing Electric Properties And Detecting Electric Faults (AREA)
  • Testing Of Short-Circuits, Discontinuities, Leakage, Or Incorrect Line Connections (AREA)
  • Emergency Protection Circuit Devices (AREA)

Abstract

一种电容漏电异常检测方法及系统、计算机设备，该方法包括：获取电容在第一时刻T1的电压值V1，在第一时刻T1后隔离放置至第二时刻T2的电压值V2(S11)；利用T1、T2、V1、V2以及电容的预存参数，计算电容在T1至T2时间段的平均漏电流I(S12)；判断平均漏电流I是否超过预设阈值；如果是，则判定电容漏电异常(S13)。通过计算电容在隔离放置一段时间后，自身的电压变化，通过计算该电容的这段时间的平均漏电流，并判断该平均漏电流是否正常，从而对电容的异常状态进行判断，以更加方便地对电容的漏电异常进行检测，简单、可靠、实用。

Description

一种电容漏电异常检测方法及系统、计算机设备
本申请要求于2018年06月13日提交中国专利局、申请号为201810608157.0、发明名称为“一种电容漏电异常检测方法及系统、计算机设备”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本发明涉及设备检测技术领域，特别涉及一种电容漏电异常检测方法及系统、计算机设备。
背景技术
电容器，顾名思义，是‘装电的容器’，是一种容纳电荷的器件。超级电容作为一种新型电荷储能元件，具有大容量、大电流快速充放电、寿命长和无污染的优异特性。但超级电容的额定电压低，在实际引用中，一般由多个超级电容通过串联和并联的方式组合构成超级电容储能电源，以满足储能容量和电压等级需要。然受到制造工艺影响，同一型号的超级电容单体之间的容量、等效并联内阻等参数各不相同，漏电压不一致，并且个参数随着时间的推移会变化。在大电流循环充放电的工况下，会导致某些单体过压、欠压，影响超级电容的可靠运行，给整个储能电源的运行带来影响，也会影响单体寿命。
常规超级电容漏电检测方案是用检测设备在试验室一对一的进行，测量准确但速度慢，且只能试验线上进行。在储能电源实际运用中，只有在发生过压、欠压故障后，把故障单体(超级电容)拆下后，在实验室测试才能确定故障产生的具体原因。
因此，如何提供一种更加方便的电容漏电异常检测方法，简单、可靠、实用，是本领域技术人员亟待解决的技术问题。
发明内容
有鉴于此，本发明的目的在于提供一种电容漏电异常检测方法及系统、计算机设备，可以更加方便地对电容的漏电异常进行检测，简单，可靠、 实用。其具体方案如下：
第一方面，本发明提供一种电容漏电异常检测方法，包括：
获取电容在第一时刻T1的电压值V1，在第一时刻T1后隔离放置至第二时刻T2的电压值V2；
利用所述T1、所述T2、所述V1、所述V2以及所述电容的预存参数，计算所述电容在所述T1至所述T2时间段的平均漏电流I；
判断所述平均漏电流I是否超过预设阈值；如果是，则判定所述电容漏电异常。
第二方面，本发明提供一种电容漏电异常检测方法，所述方法应用于有轨电车储能电源超级电容的漏电检测，包括：
获取所述有轨电车储能电源的第一超级电容在第一时刻T1断激活时的电压值V1，在第一时刻T1后隔离放置至第二时刻T2激活时的电压值V2；
利用所述T1、所述T2、所述V1、所述V2以及所述有轨电车储能电源的第一超级电容的预存参数，计算所述有轨电车储能电源的第一超级电容在所述T1至所述T2时间段的第一平均漏电流I；
判断所述第一平均漏电流I是否超过预设阈值；如果是，则判定所述第一超级电容漏电异常。
优选地，
在所述判断所述第一平均漏电流I是否超过预设阈值；如果是，则判定所述第一超级电容漏电异常之前，还包括：
计算所述有轨电车储能电源的所有超级电容在与计算所述第一平均漏电流I相同状况下的平均漏电流；
对所有超级电容的平均漏电流再次求取平均值，得到预设阈值。
优选地，
在所述判断所述第一平均漏电流I是否超过预设阈值；如果是，则判定所述第一超级电容漏电异常之前，还包括：
将第一历史漏电流设为预设阈值；
其中，所述第一历史漏电流为所述第一超级电容历史上没有被判定为漏电异常的第一平均漏电流。
优选地，
所述获取所述有轨电车储能电源的第一超级电容在第一时刻T1断激活时的电压值V1，包括：
获取弱电供电电源的实时电压值；
判断所述实时电压值是否小于预设电压值；
如果是，则记录此时为第一时刻T1，相应地，此时所述第一超级电容的电压值为V1；
其中，所述弱电供电电源并联有电容。
第三方面，本发明提供一种电容漏电异常检测系统，所述系统应用于有轨电车储能电源超级电容的漏电检测，包括：
电压时刻获取模块，用于获取所述有轨电车储能电源的第一超级电容在第一时刻T1断激活时的电压值V1，在第一时刻T1后隔离放置至第二时刻T2激活时的电压值V2；
漏电流计算模块，用于利用所述T1、所述T2、所述V1、所述V2以及所述有轨电车储能电源的第一超级电容的预存参数，计算所述有轨电车储能电源的第一超级电容在所述T1至所述T2时间段的第一平均漏电流I；
异常判断模块，用于判断所述第一平均漏电流I是否超过预设阈值；如果是，则判定所述第一超级电容漏电异常。
优选地，还包括：
第一漏电流计算模块，用于计算所述有轨电车储能电源的所有超级电容在与计算所述第一平均漏电流I相同状况下的平均漏电流；
第一阈值求取模块，用于对所有超级电容的平均漏电流再次求取平均值，得到预设阈值。
优选地，还包括：
第二阈值获取模块，用于将第一历史漏电流设为预设阈值；
其中，所述第一历史漏电流为所述第一超级电容历史上没有被判定为漏电异常的第一平均漏电流。
优选地，
所述电压时刻获取模块，包括：
弱电电压获取单元，用于获取弱电供电电源的实时电压值；
压值判断模块，用于判断所述实时电压值是否小于预设电压值；
压值时刻记录单元，用于如果判断所述实时电压值小于预设电压值，则记录此时为第一时刻T1，相应地，此时所述第一超级电容的电压值为V1；
其中，所述弱电供电电源并联有电容。
第四方面，本发明提供一种监测计算机设备，包括：
存储器，用于存储计算机程序；
处理器，用于执行所述计算机程序时实现上述任一种电容漏电异常检测方法的步骤。
本发明提供一种电容漏电异常检测方法，包括：获取电容在第一时刻T1的电压值V1，在第一时刻T1后隔离放置至第二时刻T2的电压值V2；利用所述T1、所述T2、所述V1、所述V2以及所述电容的预存参数，计算所述电容在所述T1至所述T2时间段的平均漏电流I；判断所述平均漏电流I是否超过预设阈值；如果是，则判定所述电容漏电异常。本发明通过计算电容在隔离放置一段时间后，自身的电压变化，通过计算该电容的这段时间的平均漏电流，并判断该平均漏电流是否正常，从而对电容的异常状态进行判断，以更加方便地对电容的漏电异常进行检测，简单，可靠实用。
特别地，当该方法运用到有轨电车储能电源超级电容的漏电检测时，可以更好地适应有轨电车的运营规律，当有轨电车储能电源超级电容断激活时，可以测取电压，当有轨电车储能电源超级电容激活时，再次测取电压，从而可以计算超级电容这段时间的平均漏电流，进而判断该超级电容是否正常。
本发明还提供一种电容漏电异常检测系统、计算机设备，也具有上述有益效果，在此不再赘述。
附图说明
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的实施例，对于本领域普通技术人员来讲， 在不付出创造性劳动的前提下，还可以根据提供的附图获得其他的附图。
图1为本发明一种具体实施方式提供的一种电容漏电异常检测方法的流程图；
图2为本发明又一种具体实施方式所提供的一种电容漏电异常检测方法的流程图；
图3为本发明又一种具体实施方式提供一种电容漏电异常检测系统的组成示意图；
图4为本发明一种具体的实施方式的电容漏电异常检测系统的硬件结构图；
图5为本发明一种具体的实施方式所提供的一种应用于储能式有轨电车的电容漏电异常检测方法流程图；
图6为本发明一种具体的实施方式所提供的一种应用于储能式有轨电车的电容漏电异常检测方法拓展流程图。
具体实施方式
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
请参考图1，图1为本发明一种具体实施方式提供的一种电容漏电异常检测方法的流程图。
在本发明的一种具体实施方式中，本发明实施例提供一种电容漏电异常检测方法，包括：
S11：获取电容在第一时刻T1的电压值V1，在第一时刻T1后隔离放置至第二时刻T2的电压值V2；
在本实施例中，首先对一个存有电荷，也就是有电压的电容测定一个时刻T1的电压值V1，并且将该电容隔离放置一段时间到T2，并且测定此时的电压值V2，这样就可以从进一步地计算得到获取了该电容在该时间段的 电压差。电容介质不可能绝对不导电，当电容加上直流电压时，电容器会有漏电流产生，如果这个漏电流过大，那么就可以判定该电容漏电异常。
S12：利用所述T1、所述T2、所述V1、所述V2以及所述电容的预存参数，计算所述电容在所述T1至所述T2时间段的平均漏电流I；
在上一步中获取了该电容的在第一时刻T1的电压值V1，在第一时刻T1后隔离放置至第二时刻T2的电压值V2，从而可以进一步地，计算该电容的这段隔离放置的时间中的平均漏电流I，可以利用公式I＝ΔU*C/ΔT＝(V1-V2)*C/(T2-T1)，其中C为该电容的电容值，也就是所述电容的预存参数。
S13：判断所述平均漏电流I是否超过预设阈值；如果是，则判定所述电容漏电异常。
在计算到该电容的平均漏电流I后，可以与预设阈值进行比对，一般地，平均漏电流越大，则该电容出现漏电异常的概率越大，对于预设阈值的设定，可以测定正常出厂的大量该种电容，比如一百只该种电容，可以测定这些电容在相同的情况下，例如将这些电容充电到V1电压值，然后隔离放置相同的时间间隔ΔT，然后测定隔离放置后的电压值V3，这样就可以计算到该种电容的正常的平均漏电流，可以将该平均漏电流设定为预设阈值，当然，可以设置一个范围，例如，可以设定该平均漏电流的上下一定百分比的范围内都是预设阈值，例如可以设定上下浮动百分之十。
本发明实施例提供一种电容漏电异常检测方法，通过计算电容在隔离放置一段时间后，自身的电压变化，通过计算该电容的这段时间的平均漏电流，并判断该平均漏电流是否正常，从而对电容的异常状态进行判断，以更加方便地对电容的漏电异常进行检测，简单，可靠实用，可以应用到任一种电容的漏电异常的判定中。
请参考图2，图2为本发明又一种具体实施方式所提供的一种电容漏电异常检测方法的流程图。
在本发明的一种具体实施方式中，本发明实施例提供一种电容漏电异常检测方法，所述方法应用于有轨电车储能电源超级电容的漏电检测，包 括：
S21：获取所述有轨电车储能电源的第一超级电容在第一时刻T1断激活时的电压值V1，在第一时刻T1后隔离放置至第二时刻T2激活时的电压值V2；
S22：利用所述T1、所述T2、所述V1、所述V2以及所述有轨电车储能电源的第一超级电容的预存参数，计算所述有轨电车储能电源的第一超级电容在所述T1至所述T2时间段的第一平均漏电流I；
S23：判断所述第一平均漏电流I是否超过预设阈值；如果是，则判定所述第一超级电容漏电异常。
在本具体实施方式中，与上一具体实施方式的测量原理基本相同，并具体根据有轨列车的运营规律，进一步地应用有轨电车储能电源超级电容的漏电检测。具体地，结合储能式有轨电车运营情况，在有储能式轨电车运营结束回库断激活时，检测超级电容电压，在第二天车辆出库激活时，检测超级电容电压，以两次的电压差及时间间隔来判定电容漏电大小。
具体地，在对该方法的预设阈值进行设定时，也可以根据有轨列车储能电源超级电容的结构和构造进行设定，例如，对一种具体的有轨电车储能电源为来说：2个超级电容单体并联成1个模块，8个模块串联成1个模组，43个模组串联成储能电源主回路，再加上CMS管理系统等组成储能电源。所以，储能电源由344个模块(两个电容并联形成模块，可以将该模块视为一个大的超级电容)组成，而且这些模块的参数相同。
由此，可以在具体设定预设阈值时，可以首先计算所述有轨电车储能电源的所有超级电容在与计算所述第一平均漏电流I相同状况下的平均漏电流；对所有超级电容的平均漏电流再次求取平均值，得到预设阈值。因为，对于整体来说，不太可能同时发生大比例量的模块发生漏电异常，而且这些模块的使用时长和工况基本相同，所以老化情况也基本相同，所以在此种情况下，即使其中一个模块发生漏电异常，也不太可能将这么多量的平均漏电流影响到异常的程度，所以可以通过这种方法获取到预设阈值。当然，通过该计算方法得到的预设阈值，也可以进行一定比例的上下浮动，例如百分之十。
进一步地，还可以采用另外的方法获取预设阈值，例如可以将该超级电容上次没有被判定为漏电异常的平均漏电流记录下来作为下次的预设阈值。也就是说，将第一历史漏电流设为预设阈值；其中，所述第一历史漏电流为所述第一超级电容历史上没有被判定为漏电异常的第一平均漏电流。
值得说明的是，在上述具体实施方式的基础上，本具体实施方式中，为了测取有轨电车储能电源的第一超级电容在第一时刻T1断激活时的电压值V1，可以首先获取弱电供电电源的实时电压值；判断所述实时电压值是否小于预设电压值；如果是，则记录此时为第一时刻T1，相应地，此时所述第一超级电容的电压值为V1；其中，所述弱电供电电源并联有电容。也就是说，本发明实施例中在主控板的供电电源上增加了1个电容，例如可以是点解电容，在车辆断激活时，由于有电解电容的存在，其供电电源是以一定斜率上降，同时在主控板上增加掉电检测芯片，当电源电压下降到设定值时，进行数据的存储。
本电容漏电异常检测方法运用到有轨电车储能电源超级电容的漏电检测时，可以更好地适应有轨电车的运营规律，当有轨电车储能电源超级电容断激活时，可以测取电压，当有轨电车储能电源超级电容激活时，再次测取电压，从而可以计算超级电容这段时间的平均漏电流，进而判断该超级电容是否正常。
请参考图3，图3为本发明又一种具体实施方式提供一种电容漏电异常检测系统的组成示意图。
在本发明的又一种具体实施方式中，本发明提供一种电容漏电异常检测系统300，所述系统应用于有轨电车储能电源超级电容的漏电检测，包括：
电压时刻获取模块301，用于获取所述有轨电车储能电源的第一超级电容在第一时刻T1断激活时的电压值V1，在第一时刻T1后隔离放置至第二时刻T2激活时的电压值V2；
漏电流计算模块302，用于利用所述T1、所述T2、所述V1、所述V2以及所述有轨电车储能电源的第一超级电容的预存参数，计算所述有轨电车 储能电源的第一超级电容在所述T1至所述T2时间段的第一平均漏电流I；
异常判断模块303，用于判断所述第一平均漏电流I是否超过预设阈值；如果是，则判定所述第一超级电容漏电异常。
优选地，该电容漏电异常检测系统还包括：
第一漏电流计算模块，用于计算所述有轨电车储能电源的所有超级电容在与计算所述第一平均漏电流I相同状况下的平均漏电流；
第一阈值求取模块，用于对所有超级电容的平均漏电流再次求取平均值，得到预设阈值。
优选地，该电容漏电异常检测系统还包括：
第二阈值获取模块，用于将第一历史漏电流设为预设阈值；
其中，所述第一历史漏电流为所述第一超级电容历史上没有被判定为漏电异常的第一平均漏电流。
优选地，
所述电压时刻获取模块，包括：
弱电电压获取单元，用于获取弱电供电电源的实时电压值；
压值判断模块，用于判断所述实时电压值是否小于预设电压值；
压值时刻记录单元，用于如果判断所述实时电压值小于预设电压值，则记录此时为第一时刻T1，相应地，此时所述第一超级电容的电压值为V1；
其中，所述弱电供电电源并联有电容。
请参考图4、图5、图6，图4为本发明一种具体的实施方式的电容漏电异常检测系统的硬件结构图；图5为本发明一种具体的实施方式所提供的一种应用于储能式有轨电车的电容漏电异常检测方法流程图；图6为本发明一种具体的实施方式所提供的一种应用于储能式有轨电车的电容漏电异常检测方法拓展流程图。
具体地，本发明以有轨电车储能电源为例：由2个超级电容单体并联成模块，由8个模块串联成模组，由43个模组串联成储能电源主回路，再加上CMS管理系统等组成储能电源。整个储能电源由344个模块组成，每个模块的容量、内阻及漏电是模块一致性的重要参数。
为了适合大功率的充放电，每个模组有1个电压均衡单元，负责模块电 压采集、故障判定及识别、模块电压均衡及数据通讯等功能，电压均衡单元之间采用CAN通讯，通过CAN总线把模块电压值、故障信息、模组温度信息等发送给主控板，主控板再通过CAN(或MVB)把相应显示发送给车辆显示屏，如附图4。在车辆正常运行时，电压均衡单元会在每个周期把模块的电压值发送给主控板，由于数据量巨大，主控板只会进行一定数量的数据实时动态保存，断电后，该数据也会丢失，因此在断电瞬间，要把存储在主存储器(内存)上的数据存储到辅助存储器(外存，掉电不丢失)上，为了实现这功能，本发明专利在主控板的供电电源上增加了电解电容，在车辆断激活时，由于有电解电容的存在，其供电电源是以一定斜率上降，同时在主控板上增加掉电检测芯片，当电源电压下降到设定值时，进行数据的存储。
储能式有轨电车运营在T1时刻回库进行日常保养断激活时，系统读取储能电源每个模块的电压V1并保存下来，在T2时刻出库运营激活时，系统重新读取储能电源每个模块的电压V2，并保存下来。
每个模块在T2－T1时间内的漏电电压为：V1－V2。
根据ΔU＝I*ΔT/C，可以计算出平均漏电流。
I＝ΔU*C/ΔT＝(V1-V2)*C/(T2-T1)
模块的容量大小也会影响到电压的变化值，容量越大，相同时间内，电压变化值越小，但是模块间的容量差异，会导致储能电源在循环的充放电工作情况下，模块出现过压或欠压现象，同样的影响储能电源的可靠运行。
在项目运用中，检测漏电流的目的主要是为了判定漏电异常的模块。判定方法主要是采用历史数据和相对数据相结合的方法。因此把所有的模块容量认为是同一参考值C＝1，以相对漏电流作为判断模块异常的依据。
即I＝(V1-V2)/(T2-T1)＝kΔU，k＝1/(T2-T1)
假设检测数据I MX0＝k 1ΔU x0，第x个模块的相对漏电流值，
从而可以将每个相对漏电流值计算出来，进一步地对这些相对漏电流值进行平均化计算。
历史相对漏电流值I MX1＝k 1ΔU x1，上一次漏电流正常的第X模块的检测 漏电流值；
检测数据与历史数据相比较，当检测数据是历史数据的n倍时，认定该模块漏电异常。检测数据与平均数据进行比较，当检测数据是平均数值的m倍时，认定该模块漏电异常。
即I MX0/I MX1＞n或I MX0/I MAVG＞m，(n＞1，m＞1)则判定第x模块漏电异常，系统发出警告，告知车辆需要更换模组x。
在没有本发明实施例前，只有当模块产生严重的过、欠压后进一步回厂测试后才知道漏电异常，采用本专利实施例技术方案后，可以提前进行故障的判定和识别，防止的故障的进一步扩大。同时，每天都可以采集漏电数据，采集大数据分析，对分析漏电异常产生的原因具有很好的支撑作用。
在本发明的又一种具体实施方式中，本发明实施例提供一种监控计算机设备，包括：
存储器，用于存储计算机程序；
处理器，用于执行所述计算机程序时实现上述任一种具体实施方式中所提供的电容漏电异常检测方法的步骤。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的装置，设备和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在本申请所提供的几个实施例中，应该理解到，所揭露的装置，设备和方法，可以通过其它的方式实现。例如，以上所描述的设备实施例仅仅是示意性的，例如，单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个装置，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，设备或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方， 或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，功能调用设备，或者网络设备等)执行本申请各个实施例方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器
(Read-Only Memory，ROM)、随机存取存储器(Random Access Memory，RAM)、磁碟或者光盘等各种可以存储程序代码的介质。
最后，还需要说明的是，在本文中，诸如第一和第二等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来，而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者设备所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括所述要素的过程、方法、物品或者设备中还存在另外的相同要素。
以上对本发明所提供的一种电容漏电异常检测方法及系统、计算机设备进行了详细介绍，本文中应用了具体个例对本发明的原理及实施方式进行了阐述，以上实施例的说明只是用于帮助理解本发明的方法及其核心思想；同时，对于本领域的一般技术人员，在具体实施方式及应用范围上均会有改变之处，综上所述，本说明书内容不应理解为对本发明的限制。

Claims (10)

  1. 一种电容漏电异常检测方法，其特征在于，包括：
    获取电容在第一时刻T1的电压值V1，在第一时刻T1后隔离放置至第二时刻T2的电压值V2；
    利用所述T1、所述T2、所述V1、所述V2以及所述电容的预存参数，计算所述电容在所述T1至所述T2时间段的平均漏电流I；
    判断所述平均漏电流I是否超过预设阈值；如果是，则判定所述电容漏电异常。
  2. 一种电容漏电异常检测方法，其特征在于，所述方法应用于有轨电车储能电源超级电容的漏电检测，包括：
    获取所述有轨电车储能电源的第一超级电容在第一时刻T1断激活时的电压值V1，在第一时刻T1后隔离放置至第二时刻T2激活时的电压值V2；
    利用所述T1、所述T2、所述V1、所述V2以及所述有轨电车储能电源的第一超级电容的预存参数，计算所述有轨电车储能电源的第一超级电容在所述T1至所述T2时间段的第一平均漏电流I；
    判断所述第一平均漏电流I是否超过预设阈值；如果是，则判定所述第一超级电容漏电异常。
  3. 根据权利要求2所述的电容漏电异常检测方法，其特征在于，
    在所述判断所述第一平均漏电流I是否超过预设阈值；如果是，则判定所述第一超级电容漏电异常之前，还包括：
    计算所述有轨电车储能电源的所有超级电容在与计算所述第一平均漏电流I相同状况下的平均漏电流；
    对所有超级电容的平均漏电流再次求取平均值，得到预设阈值。
  4. 根据权利要求2所述的电容漏电异常检测方法，其特征在于，
    在所述判断所述第一平均漏电流I是否超过预设阈值；如果是，则判定所述第一超级电容漏电异常之前，还包括：
    将第一历史漏电流设为预设阈值；
    其中，所述第一历史漏电流为所述第一超级电容历史上没有被判定为 漏电异常的第一平均漏电流。
  5. 根据权利要求2至4任一项所述的电容漏电异常检测方法，其特征在于，
    所述获取所述有轨电车储能电源的第一超级电容在第一时刻T1断激活时的电压值V1，包括：
    获取弱电供电电源的实时电压值；
    判断所述实时电压值是否小于预设电压值；
    如果是，则记录此时为第一时刻T1，相应地，此时所述第一超级电容的电压值为V1；
    其中，所述弱电供电电源并联有电容。
  6. 一种电容漏电异常检测系统，其特征在于，所述系统应用于有轨电车储能电源超级电容的漏电检测，包括：
    电压时刻获取模块，用于获取所述有轨电车储能电源的第一超级电容在第一时刻T1断激活时的电压值V1，在第一时刻T1后隔离放置至第二时刻T2激活时的电压值V2；
    漏电流计算模块，用于利用所述T1、所述T2、所述V1、所述V2以及所述有轨电车储能电源的第一超级电容的预存参数，计算所述有轨电车储能电源的第一超级电容在所述T1至所述T2时间段的第一平均漏电流I；
    异常判断模块，用于判断所述第一平均漏电流I是否超过预设阈值；如果是，则判定所述第一超级电容漏电异常。
  7. 根据权利要求6所述的电容漏电异常检测系统，其特征在于，还包括：
    第一漏电流计算模块，用于计算所述有轨电车储能电源的所有超级电容在与计算所述第一平均漏电流I相同状况下的平均漏电流；
    第一阈值求取模块，用于对所有超级电容的平均漏电流再次求取平均值，得到预设阈值。
  8. 根据权利要求6所述的电容漏电异常检测系统，其特征在于，还包括：
    第二阈值获取模块，用于将第一历史漏电流设为预设阈值；
    其中，所述第一历史漏电流为所述第一超级电容历史上没有被判定为漏电异常的第一平均漏电流。
  9. 根据权利要求6所述的电容漏电异常检测系统，其特征在于，
    所述电压时刻获取模块，包括：
    弱电电压获取单元，用于获取弱电供电电源的实时电压值；
    压值判断模块，用于判断所述实时电压值是否小于预设电压值；
    压值时刻记录单元，用于如果判断所述实时电压值小于预设电压值，则记录此时为第一时刻T1，相应地，此时所述第一超级电容的电压值为V1；
    其中，所述弱电供电电源并联有电容。
  10. 一种检测计算机设备，其特征在于，包括：
    存储器，用于存储计算机程序；
    处理器，用于执行所述计算机程序时实现如权利要求1至5任一项所述电容漏电异常检测方法的步骤。
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