CN112415397A - Method for diagnosing faults of backup lead-acid storage battery pack of integrated intelligent terminal in real time - Google Patents

Method for diagnosing faults of backup lead-acid storage battery pack of integrated intelligent terminal in real time Download PDF

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CN112415397A
CN112415397A CN202011364445.XA CN202011364445A CN112415397A CN 112415397 A CN112415397 A CN 112415397A CN 202011364445 A CN202011364445 A CN 202011364445A CN 112415397 A CN112415397 A CN 112415397A
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storage battery
battery pack
lead
voltage
acid storage
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郭文鑫
赵瑞锋
陈锦荣
李响
欧阳卫年
彭飞进
李高明
谭振鹏
车磊
曾晓丹
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Foshan Power Supply Bureau of Guangdong Power Grid Corp
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Foshan Power Supply Bureau of Guangdong Power Grid Corp
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/378Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
    • G01R31/379Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator for lead-acid batteries
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • G01R31/3835Arrangements for monitoring battery or accumulator variables, e.g. SoC involving only voltage measurements
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/396Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery

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  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention provides a method for diagnosing faults of an integrated intelligent terminal backup lead-acid storage battery pack in real time, which comprises the steps of firstly utilizing a high-power resistor to carry out heavy-current discharge on the lead-acid storage battery pack until the voltage of the terminal of the storage battery pack is reduced to about 30V. And then carrying out short-time charging circulation on the storage battery pack, and collecting voltage data by using a 16-bit high-precision ADS1115 modulus, wherein the sampling frequency is 100ms once, the charging time is 3 minutes, and 1800 points are sampled in total. The acquired data are subjected to average filtering, so that the accuracy of the data is improved, and wrong judgment caused by data errors is avoided. And real-time acquisition and processing of voltage data are realized. The collected storage battery terminal voltage data are further processed and fitted into a curve, and the curve is filtered by using a Butterworth low-pass filter, so that the accuracy of the data is improved, and misjudgment caused by data errors is avoided. Meanwhile, the interference of noise signals generated by the influence of the external environment on the detection device is avoided, the contingency is eliminated, and the precision and the accuracy of fault diagnosis are improved.

Description

Method for diagnosing faults of backup lead-acid storage battery pack of integrated intelligent terminal in real time
Technical Field
The invention relates to the field of power equipment fault diagnosis, in particular to a method for diagnosing faults of a backup lead-acid storage battery of an integrated intelligent terminal in real time.
Background
In the safe production process and the stable operation process of the power industry, the lead-acid storage battery serving as a standby power supply plays an important role in distribution automation equipment, is used for important missions of reserving electric energy, dealing with power grid abnormity and maintaining normal operation of a system, and is called as a last line of defense in a power grid. When a fault occurs or alternating current is lost, the storage battery can rapidly provide electric energy for important primary equipment and secondary equipment in the station so as to ensure the reliable action of the intelligent turn-off device and the relay protection device and the reliable turn-off of the circuit breaker. Once the storage battery breaks down, the telemechanical device in the power distribution network can not be switched normally, and serious accidents are easily caused. Therefore, whether the backup battery supplies power or not is related to safe and reliable operation of the power system.
The integrated intelligent terminal is a power distribution terminal device arranged on an outdoor electric pole in a 10kV overhead power distribution line, is widely applied to suburb and rural power distribution networks, and is important mechanical switch equipment for breaking, closing and bearing line load current and fault current. The integrated intelligent terminal has small volume and large quantity, can be arranged on an outdoor feeder line, is provided with a transmitter, can close, bear and switch off normal load current (less than or equal to 630A), and can open and close a no-load transformer with the excitation current not exceeding 2A and a no-load line with the capacitance current not exceeding 5A. Under the condition of power failure of a power grid, the action of the column switch is mainly realized through a backup battery of the integrated intelligent terminal, and generally, at least three actions are required, so that the quality of the battery has great influence on the reliable work of the integrated intelligent terminal. However, in the actual production and application process, the integrated intelligent terminal backup battery is in a floating charge state for a long time, and the terminal voltage of the integrated intelligent terminal backup battery is a floating charge voltage, so that the quality of a single battery in the integrated intelligent terminal backup battery at the moment cannot be further judged. Under the long-term float charging state of circuit, can make the polarization of battery inner plate cause the battery performance to deteriorate and the life-span shortens, has the risk of inefficacy. If the battery in the backup battery pack of the integrated intelligent terminal has the condition of monomer failure, but the performance of the battery cannot be judged in the floating charging state of the battery, once the terminal equipment loses alternating current and is powered by a backup power supply, the terminal voltage of the valve-controlled storage battery is greatly reduced because the valve-controlled storage battery has a special valve-controlled sealing structure, and the electric energy cannot be supplied to a direct current power supply system, so that the safety accident of the power system is caused. Because integration intelligent terminal generally installs on overhead line pole for the maintainer is very inconvenient to the detection of being equipped with the battery. Therefore, if the backup battery pack of the integrated intelligent terminal can be detected on line, the damaged battery pack is replaced and processed in time, the workload of maintenance personnel is reduced, and the stability of the power system is improved.
The core of the power distribution terminal equipment when the integrated intelligent terminal is a lead-acid storage battery pack with a back-up power supply is used for storing electric energy, dealing with the abnormity of a power grid and maintaining the normal operation of the system, and is called as the last defense line in the power grid. When a fault occurs or alternating current is lost, the storage battery can rapidly provide electric energy for important primary equipment and secondary equipment in the station so as to ensure the reliable action of the intelligent turn-off device and the relay protection device and the reliable turn-off of the circuit breaker. Research data shows that in the existing domestic outdoor protection device for the power system, a power supply of the integrated intelligent terminal generally adopts a voltage transformer (PT) to directly take power from a 10kV feeder line and is matched with a storage battery to serve as a backup power supply to supply power. At present, three main power supply modes are available, namely, a working power supply and an operating power supply are both taken from a feeder line; the working power supply is taken from the feeder line, and the operating power supply is taken from the storage battery; the working power supply and the operating power supply are both taken from the storage battery. However, the backup battery of the integrated intelligent terminal is in a floating charge state for a long time, and later maintenance is not in place, so that the damage of the single battery of the storage battery pack is easily caused, and hidden troubles are buried for safe operation of a power system. Therefore, if the spare lead-acid storage battery can be detected and found on line and is damaged, the spare lead-acid storage battery is replaced and processed correspondingly in time, a large amount of manpower and material resources are saved, the working efficiency is improved, and safety accidents are reduced.
At present, battery activation technology is mostly adopted for detecting the performance of an integrated intelligent terminal backup lead-acid storage battery pack, namely, a control system finishes the activation of a battery by sending an activation instruction, and a battery evaluation model is established by utilizing collected data to evaluate the current running state of the storage battery. However, the evaluation method of the data model has the problems of large calculation amount, long evaluation time and difficult realization. The performance of the storage battery pack is difficult to detect and obtain a stable conclusion, and the reliability is poor.
Disclosure of Invention
The invention provides a method for diagnosing faults of a backup lead-acid storage battery pack of an integrated intelligent terminal in real time, which improves the precision and the accuracy of data and simultaneously eliminates contingency possibly occurring in the data acquisition process.
In order to achieve the technical effects, the technical scheme of the invention is as follows:
a method for diagnosing faults of a backup lead-acid storage battery pack of an integrated intelligent terminal in real time comprises the following steps:
s1: carrying out heavy-current discharge on the lead-acid storage battery pack by using a high-power resistor until the terminal voltage of the lead-acid storage battery pack is reduced to theta, carrying out short-time charging circulation on the lead-acid storage battery pack, and collecting voltage data of the lead-acid storage battery pack in real time;
s2: in the process of acquiring the voltage data of the lead-acid storage battery pack, carrying out average filtering on the acquired data;
s3: fitting the data obtained in the step S2 into a curve, and processing the curve by using a Butterworth low-pass filter;
s4: whether the lead-acid storage battery pack has a fault is judged according to the fact that whether the terminal voltage curve of the lead-acid storage battery pack in the step S3 is in jumping match with the terminal voltage of the initial charging stage of the lead-acid storage battery pack;
s5: on the basis that whether the terminal voltage waveform of the lead-acid storage battery pack and the terminal voltage of the lead-acid storage battery at the initial charging stage are subjected to jumping or not, the fault degree of the storage battery pack is further judged by matching with the change condition of the charging curve of the storage battery pack to judge whether the lead-acid storage battery pack is unavailable or not.
Further, in the step S1, θ is 30V; acquiring voltage data by using an ADS1115 analog-to-digital converter with 16-bit sampling precision; the sampling frequency of the ADS1115 analog-to-digital converter is 100ms, short-time charging circulation is carried out on the lead-acid storage battery pack for 3 minutes, and 1800 points are sampled in total.
Further, in step S2, the process of performing average filtering on the acquired data is:
taking the queue length N as 8, sequentially storing continuously sampled voltage and current data into a queue, updating the queue data according to a first-in first-out principle, obtaining arithmetic mean operation on the queue data to obtain filtered terminal voltage data of the storage battery so as to weaken high-frequency oscillation of an integrated intelligent terminal of power distribution terminal equipment and influence of periodic interference on transformer sampling, and storing 8 groups of continuously sampled terminal voltage signals into E [8 ]]In an array, that is at this time
Figure BDA0002805019460000031
At the next sampling, E [8 ]]The array as a whole is shifted one bit to the right, i.e. E [0 ] ahead]Abandon, E [1]Left shift is E [0]The left shift is done in sequence by analogy, and the last bit E [7 ]]The voltage value e (t) sampled at this time is stored.
Further, in step S3, the process of processing the curve by using the butterworth low-pass filter is:
for 1800 data points acquired by collecting the data of the storage battery end for 3 minutes, the sampling frequency is once for 100ms, N is 5, N is the order of the Butterworth filter, and the Butterworth low-pass filter is obtained as follows:
Figure BDA0002805019460000032
or
Figure BDA0002805019460000041
Let the cut-off frequency be 0.1hz, denormalization yields the low pass filter system function:
Figure BDA0002805019460000042
wherein omegac=2π*0.1rad/s。
Further, in step S4, if the voltage of the failed lead-acid battery cell is about 2V, and if the battery is charged, the voltage will jump to the rated voltage of 12V, at this time, the battery is similar to a large resistance, the voltage will jump greatly in a short time, and the jump range is about 10V;
by charging the storage battery pack for a short time, if the voltage curve of the obtained end of the storage battery generates a jump of about 10V at the first 600 points collected by charging, namely the voltage at the inner end in the first half minute, namely:
U100-U0≥10V
wherein, U100Expressed as terminal voltage data at the hundredth point, U0And (3) representing initial voltage data, wherein the obtained curve has obvious jump similar to a step function, but the voltage curve changes smoothly after jumping, and the terminal voltage value amplitude does not exceed 2V until the end of charging, and then judging that a failed storage battery exists in the lead-acid storage battery.
Further, in step S5, when the voltage of the end terminal of the battery obtained at the first 600 points collected during charging, that is, the first half minute, has a jump of about 20V, that is, U100-U0>When the voltage curve of the terminal voltage changes smoothly after 20V, judging that two failed storage batteries exist in the lead-acid storage battery pack; if the obtained voltage curve of the end of the storage battery generates jump of about 30V at the first 600 points collected in charging, namely the voltage at the inner end in the first half minute, namely U100-U0>If the voltage curve of the later storage battery terminal is changed smoothly as 30V, judging that three failed storage batteries exist in the lead-acid storage battery pack; when the storage battery is charged, the voltage at two ends of the storage battery directly reaches the rated voltage output by the charger, the whole storage battery pack is regarded as a resistor, and the charger is used as a power supply and is the rated voltage applied to two ends of the lead-acid storage battery pack, namely the so-called battery charging failure, at the moment, the lead-acid storage battery pack is judged to be completely failed.
Compared with the prior art, the technical scheme of the invention has the beneficial effects that:
the invention firstly utilizes a high-power resistor to carry out heavy-current discharge on the lead-acid storage battery until the voltage of the storage battery terminal is reduced to about 30V. And then carrying out short-time charging circulation on the storage battery pack, and collecting voltage data by using a 16-bit high-precision ADS1115 modulus, wherein the sampling frequency is 100ms once, the charging time is 3 minutes, and 1800 points are sampled in total. The acquired data are subjected to average filtering, so that the accuracy of the data is improved, and wrong judgment caused by data errors is avoided. And real-time acquisition and processing of voltage data are realized. The collected storage battery terminal voltage data are further processed and fitted into a curve, and the curve is filtered by using a Butterworth low-pass filter, so that the accuracy of the data is improved, and misjudgment caused by data errors is avoided. Meanwhile, the interference of noise signals generated by the influence of the external environment on the detection device is avoided, the contingency is eliminated, and the precision and the accuracy of fault diagnosis are improved.
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FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The drawings are for illustrative purposes only and are not to be construed as limiting the patent;
for the purpose of better illustrating the embodiments, certain features of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product;
it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
The technical solution of the present invention is further described below with reference to the accompanying drawings and examples.
As shown in fig. 1, a method for diagnosing faults of a backup lead-acid storage battery of an integrated intelligent terminal in real time comprises the following steps:
step 1: and (4) carrying out heavy-current discharge on the lead-acid storage battery pack by using a high-power resistor until the voltage of the storage battery pack is reduced to about 30V. Then, carrying out short-time charging circulation on the storage battery pack, transmitting the partial pressure data to an analog-digital conversion circuit by using an internal partial pressure circuit, collecting voltage data by using an ADS1115 analog-digital converter with 16-bit sampling precision, wherein the sampling frequency is once 100ms, the charging time is 3 minutes, and 1800 points are sampled in total to realize real-time collection and processing of the voltage data;
step 2: in the data acquisition process, the acquired data are subjected to average filtering, so that the data accuracy is improved, the misjudgment caused by data errors is avoided, and the real-time acquisition and processing of the voltage data are realized. In the process of acquiring the voltage signal of the storage battery by the sensor, the voltage signal is limited by the conversion precision of the mutual inductor; on the other hand, the integrated intelligent terminal of the power distribution terminal equipment is susceptible to the influence of external or internal environment, and can generate mechanical vibration and noise. In order to make the measured data more accurate, the measured data needs to be filtered. Considering that the interference signals generated in the operation process of the integrated intelligent terminal of the power distribution terminal equipment have the characteristics of high-frequency oscillation, periodicity and the like, the classical digital filtering algorithm of recursive average filtering can be selected to process the data acquired in the acquisition process.
And (3) taking the queue length N as 8, sequentially storing the continuously sampled voltage and current data into a queue, updating the queue data according to a first-in first-out principle, and calculating the arithmetic mean operation of the queue data to obtain filtered terminal voltage data of the storage battery so as to weaken the high-frequency oscillation of the integrated intelligent terminal of the power distribution terminal equipment and the influence of periodic interference on the sampling of the mutual inductor. Taking the terminal voltage of the storage battery as an example, 8 groups of terminal voltage signals which are continuously sampled are stored into E [8 ]]In an array, that is at this time
Figure BDA0002805019460000061
At the next sampling, E [8 ]]The array as a whole is shifted one bit to the right, i.e. E [0 ] ahead]Abandon, E [1]Left shift is E [0]The left shift is done in sequence by analogy, and the last bit E [7 ]]The voltage value e (t) sampled at this time is stored. The filtered data value of the voltage and the current of the storage battery terminal is more accurate, the transient drastic change of the voltage value of the storage battery terminal possibly caused by noise in the data acquisition process is eliminated, the precision and the accuracy of the data are improved, and meanwhile, the contingency possibly occurring in the data acquisition process is also eliminated.
And 3, further processing the collected storage battery terminal voltage data, fitting the collected storage battery terminal voltage data into a curve, and processing the curve by using a Butterworth low-pass filter, so that the accuracy of the data is improved, the curve looks more visual and three-dimensional, and wrong judgment caused by data errors is avoided. According to the Fourier transform theory, the acquired signals have noise interference, and the proportion of higher harmonics in a frequency domain is increased, so that the curve of the time domain signals is not smooth and has burrs, and the original time domain signals can be seriously interfered if the higher harmonic components are large. To solve this problem, the experiment adopts a butterworth low-pass filter to perform noise reduction processing on the signal.
Taking a software Butterworth low-pass filter as an example, if the data of the battery end acquired by the integrated intelligent terminal backup lead-acid battery charging and discharging system is 1800 data points acquired in 3 minutes, the sampling frequency is 100ms once, and N is 5(N is the order of the Butterworth filter). The butterworth low pass filter is obtained as:
Figure BDA0002805019460000062
or
Figure BDA0002805019460000063
Let the cut-off frequency be 0.1hz, denormalization yields the low pass filter system function:
Figure BDA0002805019460000064
wherein omegac=2π*0.1rad/s。
At the moment, the curve processed by the Butterworth low-pass filter becomes smoother and more visual, and accidental experimental results caused by experimental errors are avoided.
And 4, step 4: and judging whether the backup lead-acid storage battery pack of the integrated intelligent terminal has a single storage battery fault. And acquiring terminal voltage data of the lead-acid storage battery in charge-discharge circulation in real time, and filtering the terminal voltage data. And then, curve fitting is carried out to eliminate burr clutters existing in the curve, so that the curve looks smoother and more stable. At the moment, the voltage waveform of the storage battery terminal and the voltage of the lead-acid storage battery at the initial charging stage are matched in a jumping way, so that the usability of the storage battery pack can be judged quickly and accurately. The experimental result shows that the single voltage of the failed lead-acid storage battery is about 2V generally, and if the storage battery is charged, the single voltage can jump to the rated voltage of 12V immediately. Because the storage battery is similar to a large resistor, the voltage can generate large jump in a short time, and the jump range is about 10V. Therefore, whether the single failed battery exists in the storage battery pack is judged according to the judgment.
Therefore, by charging the storage battery pack for a short time, if the obtained storage battery terminal voltage curve is at the first 600 points collected by charging, namelyThe voltage at the inner end jumps by about 10V in the first half minute, namely U100-U0More than or equal to 10V (wherein, U)100Expressed as terminal voltage data at the hundredth point, U0Representing initial voltage data), the obtained curve has obvious jump similar to a step function, but the voltage curve changes smoothly after jump, the terminal voltage value amplitude does not exceed 2V until the charging is finished, and then the lead-acid storage battery pack is judged to have a failed storage battery.
And 5: on the basis of judging the single storage battery faults by using a storage battery terminal voltage difference method, the fault degree of the storage battery pack is further judged by matching with the change condition of a storage battery charging curve. When the voltage curve of the obtained end of the storage battery generates jump of about 20V at the first 600 points collected in charging, namely the voltage at the inner end in the first half minute, namely U100-U0>When the terminal voltage curve changes gently after 20V, the lead-acid storage battery pack is judged to have two failed storage batteries. If the obtained voltage curve of the end of the storage battery generates jump of about 30V at the first 600 points collected in charging, namely the voltage at the inner end in the first half minute, namely U100-U0>And if the voltage curve of the later storage battery terminal is changed smoothly after 30V, judging that three failed storage batteries exist in the lead-acid storage battery pack. When the battery is charged, the voltage across the battery directly reaches the rated voltage output by the charger, and the whole battery pack can be regarded as a resistor, and the charger as a power supply is the rated voltage applied across the resistor (battery pack), that is, the so-called "battery charging failure". And at the moment, judging that the lead-acid storage battery pack completely fails.
The same or similar reference numerals correspond to the same or similar parts;
the positional relationships depicted in the drawings are for illustrative purposes only and are not to be construed as limiting the present patent;
it should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.

Claims (10)

1. A method for diagnosing faults of a backup lead-acid storage battery pack of an integrated intelligent terminal in real time is characterized by comprising the following steps:
s1: carrying out heavy-current discharge on the lead-acid storage battery pack by using a high-power resistor until the terminal voltage of the lead-acid storage battery pack is reduced to theta, carrying out short-time charging circulation on the lead-acid storage battery pack, and collecting voltage data of the lead-acid storage battery pack in real time;
s2: in the process of acquiring the voltage data of the lead-acid storage battery pack, carrying out average filtering on the acquired data;
s3: fitting the data obtained in the step S2 into a curve, and processing the curve by using a Butterworth low-pass filter;
s4: whether the lead-acid storage battery pack has a fault is judged according to the fact that whether the terminal voltage curve of the lead-acid storage battery pack in the step S3 is in jumping match with the terminal voltage of the initial charging stage of the lead-acid storage battery pack;
s5: on the basis that whether the terminal voltage waveform of the lead-acid storage battery pack and the terminal voltage of the lead-acid storage battery at the initial charging stage are subjected to jumping or not, the fault degree of the storage battery pack is further judged by matching with the change condition of the charging curve of the storage battery pack to judge whether the lead-acid storage battery pack is unavailable or not.
2. The method for diagnosing the fault of the integrated intelligent terminal backup lead-acid storage battery pack in real time according to the claim 1, wherein in the step S1, the theta is 30V.
3. The method for diagnosing the faults of the integrated intelligent terminal backup lead-acid storage battery pack in real time according to claim 1, wherein in the step S1, the ADS1115 analog-to-digital converter with 16-bit sampling precision is used for collecting voltage data.
4. The method for diagnosing the faults of the integrated intelligent terminal backup lead-acid storage battery pack in real time according to claim 3, wherein the ADS1115 analog-to-digital converter samples the lead-acid storage battery pack once in 100ms, and short-time charging cycles are performed on the lead-acid storage battery pack for 3 minutes, and 1800 points are sampled in total.
5. The method for diagnosing the faults of the integrated intelligent terminal backup lead-acid storage battery pack in real time according to claim 1, wherein in the step S2, the process of carrying out average filtering on the acquired data is as follows:
taking the queue length N as 8, sequentially storing continuously sampled voltage and current data into a queue, updating the queue data according to a first-in first-out principle, obtaining arithmetic mean operation on the queue data to obtain filtered terminal voltage data of the storage battery so as to weaken high-frequency oscillation of an integrated intelligent terminal of power distribution terminal equipment and influence of periodic interference on transformer sampling, and storing 8 groups of continuously sampled terminal voltage signals into E [8 ]]In an array, that is at this time
Figure FDA0002805019450000021
At the next sampling, E [8 ]]The array as a whole is shifted one bit to the right, i.e. E [0 ] ahead]Abandon, E [1]Left shift is E [0]The left shift is done in sequence by analogy, and the last bit E [7 ]]The voltage value e (t) sampled at this time is stored.
6. The method for diagnosing the fault of the integrated intelligent terminal backup lead-acid storage battery pack in real time according to the claim 1, wherein in the step S3, the processing of the curve by using the Butterworth low-pass filter comprises the following steps:
for 1800 data points acquired by collecting the data of the storage battery end for 3 minutes, the sampling frequency is once for 100ms, N is 5, N is the order of the Butterworth filter, and the Butterworth low-pass filter is obtained as follows:
Figure FDA0002805019450000022
or
Figure FDA0002805019450000023
Let the cut-off frequency be 0.1hz, denormalization yields the low pass filter system function:
Figure FDA0002805019450000024
wherein omegac=2π*0.1rad/s。
7. The method for diagnosing the fault of the integrated intelligent terminal backup lead-acid storage battery pack in real time according to the claim 1, wherein in the step S4, the voltage of the single failed lead-acid storage battery is about 2V, if the storage battery is charged, the single failed lead-acid storage battery pack immediately jumps to the rated voltage of 12V, at the moment, the storage battery is similar to a large resistor, the voltage jumps greatly in a short time, and the jump range is about 10V;
by charging the storage battery pack for a short time, if the voltage curve of the obtained end of the storage battery generates a jump of about 10V at the first 600 points collected by charging, namely the voltage at the inner end in the first half minute, namely:
U100-U0≥10V
wherein, U100Expressed as terminal voltage data at the hundredth point, U0And (3) representing initial voltage data, wherein the obtained curve has obvious jump similar to a step function, but the voltage curve changes smoothly after jumping, and the terminal voltage value amplitude does not exceed 2V until the end of charging, and then judging that a failed storage battery exists in the lead-acid storage battery.
8. The real-time diagnosis integrated intelligent terminal backup lead-acid storage battery pack according to claim 1The method of failure is characterized in that, in step S5, when the voltage of the end of the obtained battery terminal voltage curve jumps about 20V at the first 600 points collected during charging, namely the first half minute, the voltage of the end is changed, namely U100-U0>When the terminal voltage curve changes gently after 20V, the lead-acid storage battery pack is judged to have two failed storage batteries.
9. The method for real-time diagnosis of the fault of the backup lead-acid storage battery pack of the integrated intelligent terminal according to claim 8, wherein if the voltage curve of the terminal of the obtained storage battery generates a jump of about 30V at the first 600 points collected during charging, namely the voltage at the inner end in the first half minute, U is obtained100-U0>And if the voltage curve of the later storage battery terminal is changed smoothly after 30V, judging that three failed storage batteries exist in the lead-acid storage battery pack.
10. The method for diagnosing the fault of the backup lead-acid storage battery pack of the integrated intelligent terminal in real time as claimed in claim 9, wherein when the storage battery is just charged, the voltage at two ends of the storage battery directly reaches the rated terminal voltage output by the charger, the whole storage battery pack is regarded as a resistor, and the charger is used as a power supply and is the rated voltage applied to two ends of the lead-acid storage battery pack, namely the so-called 'battery charging failure', and at the moment, the lead-acid storage battery pack is judged to be completely failed.
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Citations (14)

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