DE112018007722T5 - METHOD AND SYSTEM FOR DETECTING LEAKAGE ANOMALY OF A CONDENSER AND COMPUTER EQUIPMENT - Google Patents

Abstract

Method and system for detecting a leakage anomaly of a condenser and computing device. The method comprises the following: detecting a voltage value V1 of a capacitor at a first point in time T1 and a voltage value V2 of the capacitor at a second point in time T2, the capacitor being isolated between the first point in time T1 and the second point in time T2 (S11); Using T1, T2, V1, V2 and a pre-stored parameter of the capacitor to calculate an average leakage current I of the capacitor within a period from T1 to T2 (S12); Determining whether the average leakage current I exceeds a preset threshold; and if so, determining a leakage abnormality of the capacitor (S13). An abnormal condition of the capacitor is determined by calculating a voltage change of the capacitor after the capacitor is isolated for a period and calculating an average leakage current of the capacitor within the period and determining whether the average leakage current is normal so that proper detection of a leakage anomaly of the condenser is simple, reliable and practical.

Description

The present application claims priority from Chinese Patent Application No. 201810608157.0 entitled "METHOD AND SYSTEM FOR DETECTING LEAK LOSS ANOMALY OF A CONDENSER AND COMPUTER EQUIPMENT," which was filed with the Chinese Patent Office on June 13, 2018, and is incorporated herein by reference in its entirety.

AREA

The present disclosure relates to the technical field of device detection and, more particularly, to a method and system for anomalous leakage detection of a capacitor and to a computer device.

BACKGROUND

A capacitor, known as a “power container”, is a device for holding electrical charges. A supercapacitor as a new element for storing electric charges has excellent properties such as large capacity, fast charging and discharging with high current, long life and no pollution. However, the super capacitor has a low voltage rating. In practical applications, multiple supercapacitors are connected in series and in parallel to form a supercapacitor energy storage power supply so that the requirements for energy storage capacity and voltage level are met. However, parameters such as capacitances and equivalent parallel internal resistances of supercapacitor cells of the same type are different due to the manufacturing process, which leads to different leakage voltages of the supercapacitor cells of the same type. In addition, these parameters can vary over time. Under a condition where high-current charging and discharging alternate, overvoltage and undervoltage may occur in some cells, affecting the reliable operation of the supercapacitor and the operation of the entire energy storage power supply, and shortening the life of these cells.

In the conventional solution, the leakage of supercapacitors is detected one by one with a detection device in a laboratory with high accuracy but at low speed. In addition, the conventional solution is only carried out on one test line. In practical applications of the energy storage power supply, if an overvoltage or undervoltage fault occurs, a faulty cell (super capacitor) must be removed and checked in the laboratory to determine the cause of the fault.

Therefore, the provision of a suitable, simple, reliable and practical method for detecting an abnormal leakage loss of a capacitor is a technical problem which one skilled in the art would like to solve.

SUMMARY

In view of this, it is an object of the present disclosure to provide a method and system for detecting abnormal leakage of a condenser and computing device that are simple, reliable and practical for appropriately detecting abnormal leakage of the condenser. The solutions are as follows.

• Erfassen einer Spannung V1 des Kondensators zu einem ersten Zeitpunkt T1 und einer Spannung V2 des Kondensators zu einem zweiten Zeitpunkt T2, wobei der Kondensator während eines Zeitraums von T1 bis T2 isoliert ist;
• Berechnen eines durchschnittlichen Leckstroms I des Kondensators während des Zeitraums von T1 bis T2 auf der Grundlage von T1, T2, V1, V2 und eines vorgespeicherten Parameters des Kondensators; und
• Bestimmen, ob der durchschnittliche Leckstrom I einen voreingestellten Schwellenwert überschreitet, und Bestimmen, dass der Leckverlust des Kondensators anomal ist, wenn der durchschnittliche Leckstrom I den voreingestellten Schwellenwert überschreitet.

In a first aspect, according to the present disclosure, a method for detecting an abnormal leakage of a capacitor is provided. The procedure includes the following:

• Detecting a voltage V1 of the capacitor at a first point in time T1 and a voltage V2 of the capacitor at a second point in time T2, the capacitor being isolated during a period from T1 to T2;
• Calculating an average leakage current I of the capacitor during the period from T1 to T2 on the basis of T1, T2, V1, V2 and a pre-stored parameter of the capacitor; and
• Determining whether the average leakage current I exceeds a preset threshold, and determining that the leakage of the capacitor is abnormal when the average leakage current I exceeds the preset threshold.

• Erfassen einer Spannung V1 eines ersten Superkondensators der Energiespeicherstromversorgung des Straßenbahnwagens zu einem ersten Zeitpunkt T1, wenn der Straßenbahnwagen abgeschaltet wird, und Erfassen einer Spannung V2 des ersten Superkondensators der Energiespeicherstromversorgung des Straßenbahnwagens zu einem zweiten Zeitpunkt T2, wenn der Straßenbahnwagen eingeschaltet wird, wobei der erste Superkondensator der Energiespeicherstromversorgung des Straßenbahnwagens während eines Zeitraums von T1 bis T2 isoliert ist;
• Berechnen, auf der Grundlage von T1, T2, V1, V2 und eines vorgespeicherten Parameters des ersten Superkondensators der Energiespeicherstromversorgung des Straßenbahnwagens, eines ersten durchschnittlichen Leckstroms I des ersten Superkondensators der Energiespeicherstromversorgung des Straßenbahnwagens während des Zeitraums von T1 bis T2; und
• Bestimmen, ob der erste durchschnittliche Leckstrom I einen voreingestellten Schwellenwert überschreitet, und Bestimmen, dass der Leckverlust des ersten Superkondensators anomal ist, wenn der erste durchschnittliche Leckstrom I den voreingestellten Schwellenwert überschreitet.

In a second aspect, according to an embodiment of the present disclosure, there is provided a method for detecting abnormal leakage of a capacitor that is used in leakage detection of a supercapacitor of an energy storage power supply of a tram. The procedure includes the following:

• Detecting a voltage V1 of a first supercapacitor of the energy storage power supply of the tram at a first point in time T1 when the tram is turned off, and detecting a voltage V2 of the first supercapacitor of the energy storage power supply of the tram at a second point in time T2 when the tram is turned on, wherein the first supercapacitor is isolated from the energy storage power supply of the tram for a period from T1 to T2;
• Calculating, based on T1, T2, V1, V2 and a pre-stored parameter of the first supercapacitor of the energy storage power supply of the tram, a first average leakage current I of the first supercapacitor of the energy storage power supply of the tram during the period from T1 to T2; and
• Determining whether the first average leakage current I exceeds a preset threshold, and determining that the leakage loss of the first supercapacitor is abnormal when the first average leakage current I exceeds the preset threshold.

• Berechnen eines durchschnittlichen Leckstroms jedes Superkondensators der Energiespeicherstromversorgung des Straßenbahnwagens in einem Zustand, der dem Berechnen des ersten durchschnittlichen Leckstroms I entspricht, und
• Mitteln der durchschnittlichen Leckströme aller Superkondensatoren, um den voreingestellten Schwellenwert zu erhalten.

Before determining whether the first average leakage current I exceeds a preset threshold and determining that the leakage of the first supercapacitor is abnormal when the first average leakage current I exceeds the preset threshold, the method preferably further comprises:

• Calculating an average leakage current of each supercapacitor of the energy storage power supply of the tram in a state corresponding to calculating the first average leakage current I, and
• Averaging the average leakage currents of all supercapacitors to get the preset threshold.

• Festlegen eines ersten Vergangenheitsleckstroms als den voreingestellten Schwellenwert, wobei der erste Vergangenheitsleckstrom ein erster durchschnittlicher Leckstrom ist, auf dessen Grundlage der Leckverlust des ersten Superkondensators in der Vergangenheit als normal bestimmt wurde.

Before determining whether the first average leakage current I exceeds a preset threshold and determining that the leakage of the first supercapacitor is abnormal when the first average leakage current I exceeds the preset threshold, the method preferably further comprises:

• Setting a first past leakage current as the preset threshold, the first past leakage current being a first average leakage current based on which the past leakage loss of the first supercapacitor was determined to be normal.

• Erfassen einer Echtzeitspannung einer schwachen elektrischen Stromversorg u ng,
• Bestimmen, ob die Echtzeitspannung geringer ist als eine voreingestellte Spannung, und
• Aufzeichnen eines Zeitpunkts, zu dem die Echtzeitspannung erfasst wird, als den ersten Zeitpunkt T1 und einer Spannung des ersten Superkondensators zum Zeitpunkt T1 als die Spannung V1, wenn die Echtzeitspannung geringer ist als die voreingestellte Spannung, wobei die schwache elektrische Stromversorgung mit einem Kondensator parallelgeschaltet ist.

Preferably, detecting a voltage V1 of a first supercapacitor of the energy storage power supply of the tram at a first point in time T1 when the tram is switched off comprises:

• Acquisition of a real-time voltage of a weak electrical power supply,
• Determine if the real-time voltage is less than a preset voltage, and
• Recording a point in time when the real-time voltage is detected as the first point in time T1 and a voltage of the first supercapacitor at point in time T1 as the voltage V1 when the real-time voltage is less than the preset voltage, with the weak electric power supply connected in parallel with a capacitor .

In a third aspect, according to the present disclosure, there is provided a system for detecting abnormal leakage of a capacitor used in leakage detection of a supercapacitor of an energy storage power supply of a tram. The system includes a voltage and timing detection module, a leakage current calculation module, and an anomaly determination module.

The voltage and point in time detection module is designed such that it detects a voltage V1 of the first supercapacitor of the energy storage power supply of the tram at a first point in time T1 when the tram is switched off, and a voltage V2 of the first supercapacitor of the energy storage power supply of the tram at a second point in time T2 detects when the tram is turned on, wherein the first supercapacitor of the energy storage power supply of the tram is isolated for a period from T1 to T2.

The leakage current calculation module is designed such that it calculates a first average leakage current I of the first supercapacitor of the energy storage power supply of the tramway during the period from T1 to T2 on the basis of T1, T2, V1, V2 and a pre-stored parameter of the first supercapacitor of the energy storage power supply of the tram .

The abnormality determination module is configured to determine whether the first average leakage current I exceeds a preset threshold, and determines that the leakage of the first supercapacitor is abnormal when the first average leakage current I exceeds the preset threshold

Preferably, the system for detecting abnormal leakage of a capacitor further comprises a first Leakage current calculation module and a first threshold value detection module.

The first leakage current calculation module is configured to calculate an average leakage current of each supercapacitor of the energy storage power supply of the tram in a state corresponding to the calculation of the first average leakage current I.

The first threshold value detection module is designed such that the average leakage currents of all supercapacitors are averaged in order to obtain the preset threshold value.

Preferably, the system for detecting abnormal leakage of a capacitor further comprises a second threshold detection module.

The second threshold detection module is configured to set a first past leakage current as the preset threshold, the first past leakage current being a first average leakage current based on which the leakage loss of the first supercapacitor has been determined to be normal in the past.

The voltage and point in time detection module preferably comprises a low voltage detection unit, a voltage determination unit and a voltage and point in time recording unit.

The low voltage detection unit is designed to detect a real-time voltage of a weak electric power supply.

The voltage determining unit is designed to determine whether the real-time voltage is lower than a preset voltage.

The voltage and timing recording unit is configured to record a timing at which the real-time voltage is detected as the first timing T1, and record a voltage of the first supercapacitor at the timing T1 as the voltage V1 when the real-time voltage is lower than the preset one Voltage, where the weak electrical power supply is connected in parallel with a capacitor.

In a fourth aspect, according to the present disclosure, a computing device for recognition is provided. The computing device includes a memory and a processor.

The memory is designed to store a computer program.

The processor is designed to execute the computer program in order to carry out steps of the method for detecting an abnormal leakage loss of a capacitor according to one of the aspects mentioned above.

In accordance with the present disclosure, a method for detecting an abnormal leakage of a capacitor is provided. The method comprises: detecting a voltage V1 of the capacitor at a first point in time T1 and a voltage V2 of the capacitor at a second point in time T2, the capacitor being isolated for a period from T1 to T2; Calculating an average leakage current I of the capacitor during the period from T1 to T2 on the basis of T1, T2, V1, V2 and a pre-stored parameter of the capacitor; and determining whether the average leakage current I exceeds a preset threshold, and determining that leakage of the capacitor is abnormal when the average leakage current I exceeds the preset threshold. In the present disclosure, a change in voltage of the capacitor after the capacitor is isolated for a period is calculated to calculate an average leakage current of the capacitor during that period, and it is determined whether the average leakage current is normal so as to be abnormal Determine the condition of the condenser and thereby appropriately identify the abnormal leakage of the condenser. The process is simple, reliable and workable.

When used for a leakage loss detection of a supercapacitor of an energy storage power supply of a tram, the method can be better adapted to an operating routine of the tram. A voltage of the super capacitor of the energy storage power supply of the tram is detected when the tram is turned off, and another voltage of the super capacitor of the energy storage power supply of the tram is detected when the tram is turned on, so that the average leakage current of the super capacitor during this period can be calculated, thereby determining whether the super capacitor is normal.

In accordance with the present disclosure, a system for detecting abnormal leakage of a capacitor and a computing device are also provided. The system and computing device also have the beneficial effects noted above, which are not repeated here.

Figure list

• 1 ist ein Flussdiagramm eines Verfahrens zur Erkennung eines anomalen Leckverlusts eines Kondensators gemäß einer Ausführungsform der vorliegenden Offenbarung;
• 2 ist ein Flussdiagramm eines Verfahrens zur Erkennung eines anomalen Leckverlusts eines Kondensators gemäß einer anderen Ausführungsform der vorliegenden Offenbarung;
• 3 ist ein schematisches Diagramm, das Komponenten eines Systems zur Erkennung eines anomalen Leckverlusts eines Kondensators gemäß einer anderen Ausführungsform der vorliegenden Offenbarung zeigt;
• 4 ist ein schematisches Diagramm, das die Hardwarestruktur eines Systems zur Erkennung eines anomalen Leckverlusts eines Kondensators gemäß einer Ausführungsform der vorliegenden Offenbarung zeigt;
• 5 ist ein Flussdiagramm eines Verfahrens zur Erkennung eines anomalen Leckverlusts eines Kondensators gemäß einer Ausführungsform der vorliegenden Offenbarung, das bei einem Straßenbahnwagen mit Energiespeicher angewendet wird; und
• 6 ist ein Flussdiagramm einer Erweiterung eines Verfahrens zur Erkennung eines anomalen Leckverlusts eines Kondensators gemäß einer Ausführungsform der vorliegenden Offenbarung, das bei einem Straßenbahnwagen mit Energiespeicher angewendet wird.

In order to more clearly illustrate technical solutions in embodiments of the present disclosure or in the conventional technique, the following briefly describes the drawings to be used in describing the embodiments or the conventional technique. It is obvious that the drawings in the following description only show embodiments of the present disclosure and that the person skilled in the art can obtain other drawings from the drawings without creative work.

• 1 Figure 3 is a flow diagram of a method for detecting abnormal leakage of a capacitor in accordance with an embodiment of the present disclosure;
• 2 Figure 4 is a flow diagram of a method for detecting abnormal leakage of a capacitor in accordance with another embodiment of the present disclosure;
• 3 Fig. 3 is a schematic diagram showing components of a system for detecting abnormal leakage of a capacitor in accordance with another embodiment of the present disclosure;
• 4th Fig. 3 is a schematic diagram showing the hardware structure of a system for detecting abnormal leakage of a capacitor according to an embodiment of the present disclosure;
• 5 FIG. 12 is a flow diagram of a method for detecting abnormal leakage of a capacitor in accordance with an embodiment of the present disclosure applied to an energy storage tram car; FIG. and
• 6th FIG. 13 is a flowchart of an extension of a method for detecting abnormal leakage of a capacitor in accordance with an embodiment of the present disclosure applied to an energy storage tram car.

DETAILED DESCRIPTION OF EMBODIMENTS

Technical solutions in embodiments of the present disclosure will be clearly and fully described below in conjunction with the drawings in the embodiments of the present disclosure. It will be understood that the described embodiments represent only some, and not all, of the embodiments of the present disclosure. All other embodiments obtained by those skilled in the art based on the embodiments of the present disclosure without design work fall within the scope of the present disclosure.

It will be on 1 Reference, which is a flow diagram of a method for detecting abnormal leakage of a capacitor in accordance with an embodiment of the present disclosure.

A method of detecting abnormal leakage of a capacitor in accordance with an embodiment of the present disclosure is provided. The procedure consists of the following steps S11 to S13 .

In step S11 a voltage V1 of the capacitor at a first point in time T1 and a voltage V2 of the capacitor at a second point in time T2 are detected. The capacitor is isolated for a period from T1 to T2.

In this embodiment, a voltage V1 of a charge storing capacitor, i.e., a capacitor having a voltage, is measured at time T1. The capacitor is then isolated for a period of time up to time T2, and a voltage V2 of the capacitor is measured at time T2. In this way, a voltage difference of the capacitor in the period from T1 to T2 can be obtained from a further calculation. It is impossible for a capacitor medium to be absolutely non-conductive. When a capacitor is fed with a DC voltage, it can generate a leakage current. In the event that the leakage current is too high, it is determined that the leakage loss of the capacitor is abnormal.

In step S12 an average leakage current I of the capacitor during the period from T1 to T2 is calculated on the basis of T1, T2, V1, V2 and a pre-stored parameter of the capacitor.

In the previous step, the voltage V1 of the capacitor at the first point in time T1 and the voltage V2 of the capacitor at a second point in time T2 are detected, the capacitor being isolated during the period from T1 to T2. Therefore, the average leakage current I of the capacitor during the period that the capacitor is isolated is calculated. The average leakage current I can be calculated from an equation I = ΔU * C / ΔT = (V1-V2) * C / (T2-T1), where C is a capacitance of the capacitor, i.e. the pre-stored parameter of the capacitor.

In step S13 it is determined whether the average leakage current I exceeds a preset threshold value. It is found that the leakage loss of the capacitor is abnormal when the average leakage current I exceeds the preset threshold.

After the calculation, the average leakage current I of the capacitor is compared with the preset threshold value. In general, a high average leakage current corresponds to a high probability of an abnormal leakage of the capacitor. The preset threshold can be set to be a normal average leakage current of a large number of capacitors of the same type in the same state as the capacitor. For example, a large number of capacitors of the same type, for example a hundred, which are normally released after manufacture, are charged to voltage V1 and then isolated for the same period of time ΔT. Then a voltage V3 is measured from each capacitor after isolation. In this way the normal average leakage current of the large number of such capacitors is calculated. Alternatively, the preset threshold value can range from the average leakage current reduced by a certain percentage to the average leakage current increased by a certain percentage, the certain percentage being 10%, for example.

A method of detecting abnormal leakage of a capacitor in accordance with embodiments of the present disclosure is provided. A change in the voltage of the capacitor after the capacitor has been isolated for a period of time is calculated to calculate an average leakage current of the capacitor during that period, and it is determined whether the average leakage current is normal so as to indicate an abnormal condition of the capacitor and thereby appropriately detect the abnormal leakage of the condenser. The method is simple, reliable, and practical, and can be used to determine anomalous leakage of any capacitor.

It will be on 2 Reference, which is a flow diagram of a method for detecting abnormal leakage of a capacitor in accordance with another embodiment of the present disclosure.

A method for detecting abnormal leakage of a capacitor in accordance with an embodiment of the present disclosure is provided. The method is used in the leakage loss detection of a supercapacitor of an energy storage power supply of a tram. The procedure consists of the following steps S21 to S23 .

In step S21 a voltage V1 of a first supercapacitor of the energy storage power supply of the tram at a first point in time T1 when the tram is switched off, and a voltage V2 of the first supercapacitor of the energy storage power supply of the tram at a second point in time T2 when the tram is switched on, the first supercapacitor is isolated during a period from T1 to T2.

In step S22 a first average leakage current I of the first supercapacitor of the energy storage power supply of the tram during the period from T1 to T2 is calculated based on T1, T2, V1, V2 and a pre-stored parameter of the first supercapacitor of the energy storage power supply of the tram.

In step S23 it is determined whether the first average leakage current I exceeds a preset threshold, and it is determined that the leakage loss of the first supercapacitor is abnormal when the first average leakage current I exceeds the preset threshold.

A measuring principle in this embodiment corresponds essentially to that in the previous embodiment and is applied in the event of leakage loss detection of the supercapacitor of the energy storage power supply of the tram in accordance with the operating routine of the tram. Specifically, in connection with the operating routine of a tram with energy storage, a voltage of the supercapacitor is detected when the tram with energy storage has finished operating and returns to the garage and the tram with energy storage is switched off, and another voltage of the supercapacitor is detected when the Energy storage tram is switched on before the energy storage tram leaves the garage the next day. The capacitor leakage is calculated based on a voltage difference between the two voltages and a time interval between acquisitions of the two voltages.

Concretely, in this method, the preset threshold value can be set based on a structure of the supercapacitor of the energy storage power supply of the tram. For example, in a specific energy storage power supply one Tramcar's 2 supercapacitor cells connected in parallel to form a module, 8 modules connected in series to form an assembly, and 43 assemblies connected in series to form a main loop of energy storage power supply that is combined with a CMS management system and the like to to form the energy storage power supply. Therefore, the energy storage power supply includes 344 modules (a module consisting of two capacitors connected in parallel can be considered as one large supercapacitor). In addition, the parameters of these modules are identical.

Therefore, the preset threshold can be set as follows. First, an average leakage current of each supercapacitor of the energy storage power supply of the tram can be calculated in a state corresponding to the calculation of the first average leakage current I. Then the average leakage currents of all supercapacitors are averaged to get the preset threshold. Namely, in the total energy storage power supply of the tram, a large proportion of the modules are unlikely to have an abnormal leakage at the same time. In addition, the operating times and operating conditions of these modules are essentially identical, which leads to an essentially identical aging condition of these modules. In this case, an abnormal leakage of one of the modules is unlikely to cause an abnormal average of the large number of average leakage currents. This allows the preset threshold to be detected in this way. In addition, the preset threshold value recorded in this way can be increased or decreased by a certain percentage, which can be, for example, 10%.

The preset threshold can also be detected in other ways. For example, a previous supercapacitor average leakage current, based on which the first supercapacitor leakage is determined to be normal, may be recorded as the next preset threshold. That is, a first past leakage current is set as the preset threshold. The first past leakage current is a first average leakage current based on which the leakage loss of the first supercapacitor in the past was determined to be normal.

It should be noted that based on the above embodiment for detecting the voltage V1 of the first supercapacitor of the energy storage power supply of the tram at the first time T1 when the tram is turned off in this embodiment, a real-time voltage of a weak electric power supply can be detected first whether the real-time voltage is lower than a preset voltage, a time point at which the real-time voltage is detected is recorded as the first time point T1 in a case where the real-time voltage is lower than the preset voltage, and a voltage of the first supercapacitor at the same Time when the voltage V1 is recorded. The weak electrical power supply is connected in parallel with a capacitor. That is, in the embodiment of the present disclosure, a capacitor is provided in addition to a power supply of a main control board. The capacitor can be, for example, an electrolytic capacitor. When the tram is switched off, the power supply for the tram drops due to the electrolytic capacitor with a certain slope. In addition to the main control board, a switch-off identification chip is also provided for storing data when the voltage of the power supply drops to a set value.

When used in the leakage loss detection of a supercapacitor of an energy storage power supply of a tram, the method for detecting abnormal leakage losses of a capacitor can be better adapted to the operating routine of the tram. A voltage of the supercapacitor of the tram's energy storage power supply is detected when the tram is turned off, and another voltage of the supercapacitor of the tram's energy storage power supply is detected when the tram is turned on, to calculate the average leakage current of the supercapacitor during that period and thereby to calculate it determine whether the super capacitor is normal.

It will be on 3 Reference, which is a schematic diagram showing components of a system for detecting abnormal leakage of a capacitor in accordance with another embodiment of the present disclosure.

A system 300 for detecting abnormal leakage of a capacitor in accordance with another embodiment of the present disclosure is provided. The system is applied to the leakage detection of a supercapacitor of an energy storage power supply of a tram. The system includes a voltage and timing detection module 301, a leakage current calculation module 302, and an anomaly determination module 303.

The voltage and time detection module 301 is designed such that it detects a voltage V1 of the first supercapacitor of the energy storage power supply of the tram at a first point in time T1 when the tram is switched off, and a voltage V2 of the first supercapacitor of the energy storage power supply of the tram at a second point in time T2 detects when the tram is turned on, with the first supercapacitor of the tram's energy storage power supply being isolated for a period from T1 to T2.

The leakage current calculation module 302 is designed such that, on the basis of T1, T2, V1, V2 and a pre-stored parameter of the first supercapacitor of the energy storage power supply of the tram, a first average leakage current I of the first supercapacitor of the energy storage power supply of the tram during the period from T1 to T2 calculated.

The abnormality determination module 303 is configured to determine whether the first average leakage current I exceeds a preset threshold, and determines that the leakage of the first supercapacitor is abnormal when the first average leakage current I exceeds the preset threshold.

Preferably, the system for detecting abnormal leakage of a capacitor further comprises a first leakage current calculation module and a first threshold value detection module.

The first leakage current calculation module is configured to calculate an average leakage current of each supercapacitor of the energy storage power supply of the tram in a state corresponding to the calculation of the first average leakage current I.

The first threshold value detection module is designed such that the average leakage currents of all supercapacitors are averaged in order to obtain the preset threshold value.

Preferably, the system for detecting abnormal leakage of a capacitor further comprises a second threshold detection module.

The second threshold value detection module is designed to set a first past leakage current as a preset threshold value.

The first past leakage current is a first average leakage current based on which the leakage loss of the first supercapacitor in the past was determined to be normal.

The voltage and point in time detection module preferably comprises a low voltage detection unit, a voltage determination unit and a voltage and point in time recording unit.

The low voltage detection unit is designed to detect a real-time voltage of a weak electric power supply.

The voltage determining unit is designed to determine whether the real-time voltage is lower than a preset voltage.

The voltage and timing recording unit is configured to record a timing at which the real-time voltage is detected as the first timing T1, and record a voltage of the first supercapacitor at the timing T1 as the voltage V1 when the real-time voltage is lower than the preset one Tension.

The weak electrical power supply is connected in parallel with a capacitor.

It gets to the 4th , 5 and 6th Referenced. 4th 13 is a schematic diagram showing a hardware structure of a system for detecting abnormal leakage of a capacitor according to an embodiment of the present disclosure. 5 FIG. 13 is a flow diagram of a method for detecting abnormal leakage of a capacitor in accordance with an embodiment of the present disclosure applied to an energy storage tram car. 6th FIG. 13 is a flowchart of an extension of a method for detecting abnormal leakage of a capacitor in accordance with an embodiment of the present disclosure applied to an energy storage tram car.

In the present disclosure, for example, in an exemplary energy storage power supply of a tram, 2 supercapacitor cells are connected in parallel to form a module, 8 modules are connected in series to form an assembly, and 43 assemblies are connected in series to form a main loop of the energy storage power supply which is combined with a CMS management system and the like to form the energy storage power supply. The total energy storage power supply includes 344 Modules. A capacitance, an internal resistance and a leakage loss of each of the 344 modules are important parameters for the durability of the modules.

In order to adapt to charging and discharging with high power, each assembly is equipped with a voltage equalization unit, which takes on the functions of detecting a voltage of a module, determining and identifying a fault, equalizing the voltage of the modules and data communication. Voltage equalization units communicate with each other via CAN and transmit a voltage of a module, error information, temperature information of the assembly and the like via a CAN bus to the main control board. The main control board then sends the appropriate display via CAN (or MVB) to a screen of the tram, as in 4th shown. During normal operation of the tram, the voltage equalization unit periodically transfers the voltage from the module to the main control board. Due to the large amount of data, the main control board only stores a certain amount of data dynamically in real time. The data will be lost after the main control board is turned off. Therefore, at the time the main control board is turned off, the data stored in a main memory (internal memory) must be stored in an auxiliary memory (external memory), and the data stored in the external memory is not lost after the main control board is turned off. To achieve this function, according to the present disclosure, an electrolytic capacitor is provided in addition to the power supply of the main control board. When the tram is switched off, the power supply to the main control board decreases with a certain slope due to the electrolytic capacitor. A shutdown identification chip is provided in addition to the main control board. When a voltage of the power supply drops to a set value, the data is saved.

At time T1 when the energy storage tram returns to the garage for daily maintenance and is turned off, the system reads a voltage V1 of each module in the energy storage power supply and stores the read voltage V1. When the energy storage tram is switched on at time T2, before the energy storage tram leaves the garage for operation, the system reads a voltage V2 of each module in the energy storage power supply and stores the read voltage V2.

A leakage voltage of each of the modules in a period of T2-T1 is V1-V2.

An average leakage current is calculated according to ΔU = I * ΔT / C. $$\text{I.}=\Delta \text{U}\ast \text{C /}\Delta \text{T}=\left(\text{V1}-\text{V2}\right)\ast \text{C /}\left(\text{T2}-\text{T1}\right)\text{.}$$

A capacity of a module influences a change in voltage. In the same period of time, a larger capacity corresponds to a smaller change in voltage. However, a difference in capacity between the modules can lead to an overvoltage or undervoltage in a module if the energy storage power supply is alternately charged and discharged, which impairs the reliable operation of the energy storage power supply.

In the application, a primary purpose of leakage current detection is to identify a module with abnormal leakage. The determination is made on the basis of historical data in combination with relative data. It is therefore assumed that the capacities of all modules have the same reference value C = 1. The module's abnormal leakage is determined based on a relative leakage current expressed by the following equation: $$\text{I.}=\left(\text{V1}-\text{V}2\right)\text{/}\left(\text{T}2-\text{T}1\right)=\text{k}\Delta \text{U},\text{where k}=1\text{/}\left(\text{T}2-\text{T}1\right).$$

_{It is assumed that the detection data of} a relative leakage current of an x-th module can be calculated from I Mx0 = k ₁ ΔU _x0 so as to calculate each relative leakage current. In addition, these relative leakage currents are averaged.

A relative past _{leakage current can be calculated from I MX1} = k ₁ ΔU _x1 which is a past detection leakage current of the X-th module, based on which a leakage current of the X-th module is determined to be normal.

The identification data are compared with the historical data. In the event that the detection data is n times the historical data, the leakage of the module is determined to be abnormal. The detection data are compared with average data. If the detection data is m times the average data, the leakage of the module is determined to be abnormal.

That is, if I _MX0 / I _MX1 > n or I _Mx0 / I _MAVG > m, where (n> 1, m> 1), the leakage of the x-th module is determined to be abnormal. The system issues a warning to indicate that the umpteenth module needs to be replaced.

Prior to the embodiments of the present disclosure, an abnormal leakage loss is not until now known when a module has a strong overvoltage or undervoltage and is sent back to a factory for detection. With the technical solutions of the embodiments of the present disclosure, a fault can be determined and identified in advance in order to prevent the fault from further spreading. In addition, leakage data can be collected every day to perform large-scale data analysis that will facilitate the analysis of a cause of the abnormal leakage.

According to another embodiment of the present disclosure, a computing device for monitoring is provided. The computing device includes a memory and a processor.

The memory is designed for storing a computer program.

The processor is adapted to execute the computer program in order to carry out the steps of the method for detecting an abnormal leakage loss of a capacitor according to one of the embodiments described above.

The person skilled in the art can clearly understand that, for reasons of expediency and conciseness of the description, detailed operating processes of the devices, devices and units described above can relate to the corresponding processes in the embodiments of the method described above. Details are not repeated here.

It is to be understood that the devices, devices, and methods disclosed in the embodiments of the present disclosure can be implemented in other ways. The device embodiments described above are only schematic, for example. For example, the units are only divided on the basis of logical functions and may be divided in other ways in the actual implementation. For example, several units or components can be combined or integrated into another device. Alternatively, some features can be omitted or not implemented. In addition, the indicated or explained mutual coupling or direct coupling or communication connection can be an indirect coupling or communication connection via some interfaces, devices or units and can be in an electrical, mechanical or other form.

The entity described as a separate component may or may not be physically separate. The component represented as a unit may or may not be a physical unit, i.e. it can be located in one place or distributed over several network units. The object of solving the embodiment can be achieved by selecting part or all of the units based on actual requirements.

Furthermore, functional units in embodiments of the present disclosure can each be separate physical units or can be integrated into a processing unit. Alternatively, two or more units can be integrated into one unit. The integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

In the event that the integrated unit is implemented in the form of a software functional unit and serves as an independent product for sale or use, the integrated unit can also be stored on a computer-readable storage medium. On the basis of such conditions, the technical solutions or a part of the technical solutions that are disclosed in the present disclosure and make contributions to the conventional technology, or all or part of the technical solutions can be implemented essentially in the form of a software product. The software product can be stored on a storage medium. The software product contains a set of instructions that allow a computing device (which can be a personal computer, function caller, or network device) to perform all or part of the steps of the methods according to embodiments of the present disclosure. The storage media mentioned above include various media capable of storing program code, e.g. a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or a compact Disc.

Finally, it should be noted that the relationship terminology such as first, second or the like is used here only to distinguish one entity or operation from another, and not to require or imply the actual relationship or order between the entities or operations. In addition, terms such as “include”, “comprise” or other variations thereof are not intended to be exclusive. Thus, a process, method, article, or device having a series of elements includes not only the elements but also other elements that are not enumerated or those inherent in the process, method, article, or device Elements a. Unless expressly limited otherwise, an element defined by the phrase "with a ..." does not exclude the possibility that other similar elements in the process, procedure, Article or device may be present with the element.

The method and system for abnormal leakage detection of a capacitor and computing device according to the present disclosure are described in detail above. Specific examples are used herein to explain the principle and embodiments of the present disclosure, and the above description of the embodiments is used only to facilitate understanding of the method and core concept of the present disclosure. Those skilled in the art can change the specific embodiments and the scope. In summary, the present description is not to be construed as a limitation of the present disclosure.

QUOTES INCLUDED IN THE DESCRIPTION

This list of the documents listed by the applicant was generated automatically and is included solely for the better information of the reader. The list is not part of the German patent or utility model application. The DPMA assumes no liability for any errors or omissions.

Patent literature cited

• CN 201810608157 [0001]

Claims (10)

A method of detecting abnormal leakage of a condenser, comprising: Detecting a voltage V1 of the capacitor at a first point in time T1 and a voltage V2 of the capacitor at a second point in time T2, the capacitor being isolated during a period from T1 to T2; Calculating an average leakage current I of the capacitor during the period from T1 to T2 on the basis of T1, T2, V1, V2 and a pre-stored parameter of the capacitor; and Determining whether the average leakage current I exceeds a preset threshold, and determining that the leakage of the capacitor is abnormal when the average leakage current I exceeds the preset threshold. A method for detecting abnormal leakage of a capacitor used in leakage detection of a supercapacitor of an energy storage power supply of a tram, the method comprising: Detecting a voltage V1 of a first supercapacitor of the energy storage power supply of the tram at a first time T1 when the tram is switched off, and detecting a voltage V2 of the first supercapacitor of the energy storage power supply of the tram at a second time T2 when the tram is switched on, the first Supercapacitor of the energy storage power supply of the tram is isolated for a period from T1 to T2; Calculating, based on T1, T2, V1, V2 and a pre-stored parameter of the first supercapacitor of the energy storage power supply of the tram, a first average leakage current I of the first supercapacitor of the energy storage power supply of the tram during the period from T1 to T2; and Determining whether the first average leakage current I exceeds a preset threshold, and determining that the leakage loss of the first supercapacitor is abnormal when the first average leakage current I exceeds the preset threshold. Method for detecting abnormal leakage of a condenser according to Claim 2 wherein prior to determining whether the first average leakage current I exceeds a preset threshold and determining that the leakage of the first supercapacitor is abnormal when the first average leakage current I exceeds the preset threshold, the method further comprises: calculating an average Leakage current of each supercapacitor of the energy storage power supply of the tram in a state corresponding to calculating the first average leakage current I and averaging the average leakage currents of all supercapacitors to obtain the preset threshold value. Method for detecting abnormal leakage of a condenser according to Claim 2 wherein prior to determining whether the first average leakage current I exceeds a preset threshold and determining that the leakage of the first supercapacitor is abnormal when the first average leakage current I exceeds the preset threshold, the method further comprises: setting a first Past leakage current as the preset threshold value, the first past leakage current being a first average leakage current based on which the past leakage loss of the first supercapacitor was determined to be normal. Method for detecting abnormal leakage of a capacitor according to one of the Claims 2 to 4th , wherein detecting a voltage V1 of a first supercapacitor of the energy storage power supply of the tram at a first point in time T1 when the tram is turned off comprises: detecting a real-time voltage of a weak electrical power supply, determining whether the real-time voltage is less than a preset voltage , and recording a time point at which the real-time voltage is detected as the first time point T1 and a voltage of the first supercapacitor at time point T1 as the voltage V1 when the real-time voltage is lower than the preset voltage, the weak electric power supply having a capacitor is connected in parallel. An abnormal leakage detection system for a capacitor used in leakage detection of a supercapacitor of an energy storage power supply of a tram, the system comprising: a voltage and timing detection module configured to detect a voltage V1 of the first supercapacitor of the energy storage power supply of the tram is detected at a first point in time T1 when the tram is turned off, and a voltage V2 of the first supercapacitor of the energy storage power supply of the tram to one second time T2 detects when the tram is turned on, the first supercapacitor of the energy storage power supply of the tram being isolated for a period from T1 to T2; a leakage current calculation module which is designed such that, on the basis of T1, T2, V1, V2 and a pre-stored parameter of the first supercapacitor of the energy storage power supply of the tram, a first average leakage current I of the first supercapacitor of the energy storage power supply of the tram during the period from T1 to T2 calculated; and an abnormality determination module configured to determine whether the first average leakage current I exceeds a preset threshold and determines that the leakage of the first supercapacitor is abnormal when the first average leakage current I exceeds the preset threshold. System for detecting abnormal leakage of a condenser after Claim 6 further comprising: a first leakage current calculation module configured to calculate an average leakage current of each supercapacitor of the energy storage power supply of the tram in a state corresponding to calculating the first average leakage current I; and a first threshold detection module configured to average the average leakage currents of all supercapacitors to obtain the preset threshold. System for detecting abnormal leakage of a condenser after Claim 6 10, further comprising: a second threshold detection module configured to set a first past leakage current as the preset threshold, the first past leakage current being a first average leakage current based on which the past leakage loss of the first supercapacitor is determined to be normal has been. System for detecting abnormal leakage of a condenser after Claim 6 wherein the voltage and timing detection module comprises: a low voltage detection unit configured to detect a real-time voltage of a low electrical power supply; a voltage determination unit configured to determine whether the real-time voltage is less than a preset voltage; and a voltage and timing recording unit configured to record a timing at which the real-time voltage is detected as the first timing T1, and record a voltage of the first supercapacitor at the timing T1 as the voltage V1 when the real-time voltage is lower than the preset voltage, with the weak electrical power supply connected in parallel with a capacitor. A computer recognition device comprising: a memory configured to store a computer program; and a processor configured to execute the computer program to perform the steps of the method for detecting abnormal leakage of a capacitor according to one of the Claims 1 to 5 to execute.

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