CN115241958B - Super capacitor cycle charge-discharge energy storage supervision control system - Google Patents

Super capacitor cycle charge-discharge energy storage supervision control system Download PDF

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CN115241958B
CN115241958B CN202211148616.4A CN202211148616A CN115241958B CN 115241958 B CN115241958 B CN 115241958B CN 202211148616 A CN202211148616 A CN 202211148616A CN 115241958 B CN115241958 B CN 115241958B
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value
charging
capacitor
data
charge
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CN115241958A (en
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李伟军
朱敬雨
黄传仁
杨国庆
张俊峰
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Tig Technology Co ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0047Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
    • 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
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0029Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0029Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits
    • H02J7/00309Overheat or overtemperature protection
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2207/00Indexing scheme relating to details of circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J2207/50Charging of capacitors, supercapacitors, ultra-capacitors or double layer capacitors

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  • Power Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Testing Electric Properties And Detecting Electric Faults (AREA)

Abstract

The invention relates to the technical field of capacitor energy storage supervision, in particular to a super capacitor cyclic charge-discharge energy storage supervision control system, which comprises a capacitor data acquisition unit, a capacitor real-time monitoring unit, an energy storage environment processing unit, a capacitor condition analysis unit and an energy storage safety early warning unit, wherein the capacitor data acquisition unit is used for acquiring the energy of a capacitor; the capacitance data acquisition unit is used for acquiring data of the super capacitor which performs cyclic charge-discharge energy storage, and marking the acquired data as capacitance data, wherein the capacitance data comprises capacitance model data and capacitance batch data.

Description

Super capacitor cycle charge-discharge energy storage supervision control system
Technical Field
The invention relates to the technical field of capacitor energy storage supervision, in particular to a super capacitor cyclic charge and discharge energy storage supervision control system.
Background
The super capacitor generally refers to a double electric layer capacitor, and compared with a battery adopting an electrochemical principle, the double electric layer capacitor has the characteristics of short charging time, long service life, good temperature characteristic, energy conservation, environmental friendliness and the like because the charging and discharging processes of the super capacitor completely do not involve the change of substances, so that the super capacitor is more and more widely applied.
Before the super capacitor is put into practical application, the super capacitor is tested in a cycle charging and discharging mode, in the cycle charging and discharging process, manual judgment is often carried out through the final electric storage quantity of the battery, the judgment result is inaccurate, the capacitor cannot be monitored in the cycle charging and discharging process according to the capacitor, and the abnormal analysis of the capacitor cannot be carried out according to the monitored data.
Disclosure of Invention
The invention aims to provide a super capacitor cyclic charge-discharge energy storage supervision control system, which is used for solving the problems.
The purpose of the invention can be realized by the following technical scheme: a super capacitor cyclic charge and discharge energy storage supervision control system comprises a capacitor data acquisition unit, a capacitor real-time monitoring unit, an energy storage environment processing unit, a capacitor condition analysis unit and an energy storage safety early warning unit;
the capacitor data acquisition unit is used for acquiring data of the super capacitor which performs cyclic charge-discharge energy storage, and marking the acquired data as capacitor data, wherein the capacitor data comprises capacitor model data and capacitor batch data;
the capacitor real-time monitoring unit is used for monitoring the energy storage of the super capacitor which is subjected to cyclic charge and discharge energy storage, carrying out capacitor real-time analysis processing and obtaining a charge and discharge real-time data group through processing, wherein the charge and discharge real-time data group comprises one charge and discharge analysis data, two charge and discharge analysis data, \8230 \ 8230;, and N charge and discharge analysis data;
the energy storage environment processing unit is used for carrying out energy storage data analysis operation on environmental factors during charging and discharging of the super capacitor and processing the environmental factors to obtain a shelving influence mean value and an environmental influence mean value;
the capacitor condition analysis unit performs capacitor comprehensive analysis processing according to data obtained by processing of the energy storage environment processing unit and the capacitor real-time monitoring unit to obtain an abnormal capacitor alarm or a capacitor safety prompt;
the energy storage safety early warning unit carries out safety early warning according to the unusual alarm of electric capacity or electric capacity safety suggestion, specifically is: and extracting and identifying the abnormal capacitor alarm or the safe capacitor prompt, sending an alarm signal when the abnormal capacitor alarm is identified, and displaying 'safe charging and discharging of the capacitor' when the safe capacitor prompt is identified without alarming.
Preferably, the real-time capacitance analysis and processing comprises the following specific processes:
extracting capacitor model data and capacitor batch data, identifying and dividing super capacitors which are subjected to cyclic charge-discharge energy storage according to the capacitor model data and the capacitor batch data, dividing a plurality of sample groups, and marking the super capacitors in the sample groups as YjDi, i =1,2,3, \8230, 8230, n1, j =1,2,3, \8230, 8230, n2, wherein the values of n1 and n2 are positive integers;
and selecting the capacitor mark YjDi, and carrying out capacitance data processing on data of each capacitor to obtain first charge-discharge analysis data, second charge-discharge analysis data, \8230;, and N charge-discharge analysis data.
Preferably, the specific process of capacitance data processing is as follows:
calibrating the charging times, the charging time points, the charging electric quantity data and the temperature data of the capacitor during charging of each capacitor as a charging value, a charging value and a charging temperature value, and calibrating the discharging times, the discharging time points, the discharging electric quantity data and the temperature data of the capacitor during discharging of each capacitor as a discharging value, a discharging value and a discharging value;
selecting a capacitor with a charge value of one time in the same sample containing group, carrying out data arrangement on a charge value, a charge value and a charge temperature value corresponding to the capacitor with the charge value of one time in the sample containing group so as to obtain a plurality of charge values, charge values and charge temperature values, carrying out a charge analysis on the charge values, charge values and charge temperature values so as to obtain a charge mean value, a floating charge value, a charge temperature mean value, a floating charge value, a discharge mean value, a discharge mean value and a floating discharge value.
Preferably, the specific analysis process of the one-volume analysis is as follows:
sorting a plurality of charging values from large to small to obtain charging sorting data, counting the total quantity of the charging sorting data and calibrating the total quantity as the charging number, dividing the charging number by two, calculating the middle quantity of the charging sorting data and calibrating the middle quantity as the charging median, summing the maximum value and the minimum value in the charging sorting data, dividing the sum of the maximum value and the minimum value in the charging sorting data by two to calculate the charging difference, substituting each numerical value of the charging sorting data into a mean value calculation formula to calculate a charging mean value, calculating the charging mean value and the difference of the charging sorting data respectively, calculating a plurality of charging time difference values, calculating the mean value of the charging time difference values, calculating the charging time mean value, performing floating charging value calculation on the charging time difference value, calculating a floating charging value, wherein the specific calculation process of the floating charging value is as follows: subtracting the average difference value of the charging time from the absolute value of the difference value of the charging time difference value and the charging time median value, and selecting the absolute value of the final value to calibrate as a floating charging value;
according to a method for calculating a charging average value and a floating charging value, the discharging value and the discharging value are processed, A charge mean value, a floating charge value, a charge temperature mean value, a floating charge value, a discharge time mean value, a floating discharge value, a discharge temperature mean value, and a floating discharge value are obtained.
Preferably, the specific process of the energy storage data analysis operation is as follows:
calibrating the relevant numerical value of the environment of the super capacitor during charging and discharging as environment data, wherein the environment data comprises the environment temperature during charging and discharging, the shelf time of the super capacitor and the total value of the actual consumed electric quantity of the super capacitor;
selecting the environmental temperature, the shelving time of the super capacitors and the total value of the actual consumed electric quantity of the super capacitors corresponding to the plurality of super capacitors in the same capacitance sample group, calibrating the shelving time of the super capacitors as independent variables, calibrating the total value of the actual consumed electric quantity of the super capacitors as dependent variables, and calculating according to the following formula: the method comprises the steps that the difference value of the actual power consumption total values of the super capacitors corresponding to the two super capacitors = the shelving influence factor of the shelf time difference of the super capacitors corresponding to the two super capacitors, the shelving influence factor is deduced reversely, the shelving influence factors of the super capacitors in the same sample holding group are calculated according to the same calculation mode, the shelving influence factors are subjected to mean value calculation, and a shelving influence mean value is calculated;
selecting the super capacitors with different environmental temperatures and the same shelf time of the super capacitors in the same sample holding group, and calculating the environmental impact mean value according to the shelf impact mean value calculation method.
Preferably, the specific process of the capacitance comprehensive analysis process is as follows:
extracting charging and discharging analysis data, \8230, charging and discharging analysis data N and carrying out secondary treatment: selecting a first time-charging mean value, a second time-charging mean value, \ 8230 \ N time-charging mean value, calculating a difference value between every two adjacent numerical values, calculating a plurality of time-measuring difference values, calculating a floating time-charging value, \ 8230 \ 8230;, calculating a difference value between every two adjacent numerical values between the floating time-charging values N, and calculating a plurality of time-measuring floating difference values;
performing difference calculation on a plurality of timing difference values and corresponding timing floating difference values, calculating a plurality of time calculation difference values, establishing a virtual plane rectangular coordinate system, performing numerical value marking on a plurality of actual calculation difference values in sequence, performing linear connection to obtain a time calculation difference value connecting line, performing mean calculation on a plurality of time calculation difference values, calculating a time calculation average difference value, performing difference calculation on the time calculation average difference value and a plurality of time calculation difference values respectively, calculating a time evaluation difference value, setting a preset value, judging that the difference value is large when the time evaluation difference value is larger than or equal to the preset value, judging that the difference value is small otherwise, identifying that the difference value is larger than the difference value, performing proportion calculation, judging that the time filling is correct when the number of times of the difference value is smaller than a proportion threshold value, generating a time filling normal signal, otherwise, judging that the time filling is wrong, and generating a time filling abnormal signal;
according to the method for processing the normal signal and the abnormal signal during charging, a discharge normal signal, a discharge abnormal signal, a charge normal signal or a charge abnormal signal, a discharge normal signal or a discharge abnormal signal, and a discharge normal signal or a discharge abnormal signal are obtained through processing, and are subjected to signal conversion to obtain a capacitance abnormal alarm or a capacitance safety prompt.
Preferably, the specific process of signal conversion is as follows:
counting the times of abnormal signals in the discharge normal signal or the discharge abnormal signal, and the discharge normal signal or the discharge abnormal signal, carrying out proportion calculation, marking the proportion value of the times of the abnormal signals as Az, setting a threshold value M1, generating a discharge safety signal when Az is less than M1, and generating a discharge danger signal when Az is more than or equal to M1;
the method comprises the steps of identifying a charging safety signal, a charging danger signal, a discharging safety signal and a discharging danger signal, generating a capacitance abnormity alarm when the charging danger signal and the discharging danger signal are identified to be simultaneously appeared, generating a capacitance safety prompt when the charging safety signal and the discharging safety signal are simultaneously appeared, extracting corresponding shelving influence mean values and environment influence mean values and substituting the shelving influence mean values into a calculation formula when the charging danger signal or the discharging danger signal is simultaneously appeared, calculating an evaluation value, marking the evaluation value as Pj and comparing the evaluation value with a threshold value M2, generating the capacitance safety prompt when the Pj is less than M2, and generating the capacitance abnormity alarm when the Pj is more than or equal to M2.
The invention has the beneficial effects that:
according to the invention, by collecting data related to the capacitor, the capacitor is subjected to capacitor charging and discharging grouping processing according to the collected data, so that a plurality of capacitor sample groups are divided, the charging condition of the same capacitor is conveniently monitored in real time, the time consumed by a system for extracting the data is reduced, progressive charging analysis is carried out on the capacitors in the plurality of divided capacitor sample groups, the data of the capacitor during charging from the first time to the Nth time is detailed, so that the stability of the capacitor is judged, factor combination analysis is carried out on the capacitor according to weak external influence factors during charging of the capacitor, so that the data during charging of the capacitor is judged, and the abnormal judgment of the capacitor is carried out according to the data, so that a worker is timely reminded of abnormal overhaul of the capacitor, the accuracy of data analysis is increased, the time consumed by detection is saved, and the working efficiency is improved.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a system block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention is a super capacitor cyclic charge-discharge energy storage monitoring and controlling system, which includes a capacitor data acquisition unit, a capacitor real-time monitoring unit, an energy storage environment processing unit, a capacitor status analyzing unit, and an energy storage safety pre-warning unit;
the capacitor data acquisition unit is used for acquiring data of the super capacitor for carrying out cyclic charge-discharge energy storage, so that the data of the capacitor are accurately stored and marked, the cyclic charge-discharge energy storage of the capacitor is processed in the later period, the acquired data are marked as capacitor data, the capacitor data comprise capacitor model data and capacitor batch data, and the acquired capacitor model data and capacitor batch data are transmitted to the capacitor real-time monitoring unit;
the capacitor real-time monitoring unit is used for performing energy storage monitoring on the super capacitor which is subjected to cyclic charge and discharge energy storage, so that the phenomenon that the super capacitor is abnormal in charge and discharge energy storage to cause capacitor damage and economic loss is avoided, and the capacitor data acquisition unit is in communication connection with the capacitor real-time monitoring unit;
the capacitor real-time monitoring unit is internally provided with an energy storage environment processing unit, a capacitor condition analysis unit and an energy storage safety early warning unit, and the energy storage environment processing unit is in communication connection with the capacitor condition analysis unit and the energy storage safety early warning unit;
the capacitor condition analysis unit is used for processing and analyzing energy storage data of the super capacitor which is charged and discharged circularly and stores energy according to the capacitor model data and the capacitor batch data, so that the state of the capacitor is judged, the capacitor is subjected to early warning calculation, and an early warning result is transmitted to the energy storage safety early warning unit;
the energy storage safety early warning unit carries out capacitance early warning according to the early warning result transmitted by the capacitance condition analysis unit and reminds a user in time;
the capacitance data acquisition unit is used for acquiring data of the super capacitor which performs cyclic charge-discharge energy storage, marking the acquired data as capacitance data, and transmitting the acquired capacitance model data and capacitance batch data to the capacitance real-time monitoring unit;
the capacitance real-time monitoring unit carries out capacitance real-time analysis processing according to the capacitance model data and the capacitance batch data, and the concrete process of the capacitance real-time analysis processing is as follows:
extracting capacitor model data and capacitor batch data, identifying a super capacitor which is performing cyclic charge-discharge energy storage according to the capacitor model data and the capacitor batch data, identifying the capacitor model data and the capacitor batch data of each capacitor, and performing component division according to the capacitor model data and the capacitor batch data, specifically: the method comprises the steps of marking capacitors of a plurality of same capacitor model data and capacitor batch data as sample-containing groups to obtain a plurality of sample-containing groups, marking the capacitors in the plurality of sample-containing groups as YjDi, i =1,2,3, \8230 \ 1, j =1,2,3, \8230 \ 8230:n 2, wherein values of n1 and n2 are positive integers, and definition areas of n1 and n2 are respectively used for distinguishing the total number of the sample-containing groups and the total number of the capacitors from each other, for example: 4 sample containing groups are provided, and the total number of capacitors in each sample containing group is 5;
selecting the capacitance mark YjDi, and carrying out capacitance data processing on the data of each capacitor, wherein the specific process of the capacitance data processing is as follows:
calibrating the charging times, the charging time points, the charging electric quantity data and the temperature data of the capacitor during charging of each capacitor as a charging value, a charging value and a charging temperature value, and calibrating the discharging times, the discharging time points, the discharging electric quantity data and the temperature data of the capacitor during discharging of each capacitor as a discharging value, a discharging value and a discharging value;
selecting a capacitor with a primary charge secondary value in the same sample holding group, carrying out data arrangement on a charge value, a charge value and a charge temperature value corresponding to the capacitor with the primary charge secondary value in the sample holding group so as to obtain a plurality of charge values, charge values and charge temperature values, and carrying out a capacity charge analysis on the charge values, the charge values and the charge temperature values, wherein the capacity charge analysis specifically comprises the following steps:
sorting a plurality of charging values from large to small to obtain charging sorting data, counting the total quantity of the charging sorting data and calibrating the total quantity as the charging number, dividing the charging number by two, calculating the middle quantity of the charging sorting data and calibrating the middle quantity as the charging median, summing the maximum value and the minimum value in the charging sorting data, dividing the sum of the maximum value and the minimum value in the charging sorting data by two to calculate the charging difference, substituting each numerical value of the charging sorting data into a mean value calculation formula to calculate a charging mean value, calculating the charging mean value and the difference of the charging sorting data respectively, calculating a plurality of charging time difference values, calculating the mean value of the charging time difference values, calculating the charging time mean value, performing floating charging value calculation on the charging time difference value, calculating a floating charging value, wherein the specific calculation process of the floating charging value is as follows: subtracting the average difference value of the charging time from the absolute value of the difference value of the charging time difference value and the charging time median value, and selecting the absolute value of the final value to calibrate as a floating charging value;
sorting a plurality of charge values from large to small to obtain charge sorting data, counting the total quantity of the charge sorting data and calibrating the total quantity of the charge sorting data as the number of charges, dividing the number of the charges by two, calculating the middle quantity of the charge sorting data and calibrating the middle quantity of the charges as the median of the charges, summing the maximum value and the minimum value of the charge sorting data, dividing the sum of the maximum value and the minimum value of the charge sorting data by two to calculate the difference of the charges, substituting each value of the charge sorting data into a mean value calculation formula, calculating a mean value of the charges, calculating the difference between the mean value of the charges and the plurality of charge sorting data respectively, calculating a plurality of difference values of the charges, calculating the mean value of the charges, calculating the floating charge value by using the mean value of the charges and the median of the charges and the difference value of the charges, and calculating the floating charge value, wherein the specific calculation process of the floating charge value is as follows: subtracting the average difference value of the number of the charges from the absolute value of the difference value of the median value of the charges, and selecting the absolute value of the final value to calibrate as a floating charge value;
sorting a plurality of temperature charging values from large to small to obtain temperature charging sorting data, counting the total amount of the temperature charging sorting data and calibrating the temperature charging sorting data into temperature charging numbers, dividing the temperature charging numbers by two, calculating the middle number of the temperature charging sorting data and calibrating the temperature charging median, summing the maximum value and the minimum value in the temperature charging sorting data, dividing the sum of the maximum value and the minimum value in the temperature charging sorting data by two, calculating temperature charging difference values, substituting each value of the temperature charging sorting data into a mean value calculation formula, calculating a temperature charging mean value, performing difference calculation on the temperature charging mean value and a plurality of temperature charging sorting data respectively, calculating a plurality of temperature charging number difference values, performing mean value calculation on a plurality of temperature charging number difference values, calculating a temperature charging number average difference value, performing floating temperature charging value calculation on the temperature charging number average difference value and the temperature charging median value and the temperature charging difference value, calculating a floating temperature charging value, and specifically calculating the floating temperature charging value: subtracting the average difference value of the temperature filling numbers from the absolute value of the difference value of the temperature filling difference value and the medium temperature filling value, and selecting the absolute value of the final value to calibrate the absolute value as a floating temperature filling value;
selecting a capacitor with a primary discharge time value in the same sample holding group, and performing data arrangement on a discharge time value, a discharge value and a discharge temperature value corresponding to the capacitor with the primary discharge time value in the sample holding group, so as to obtain a plurality of discharge time values, discharge values and discharge temperature values, and performing containment analysis on the discharge time values, the discharge values and the discharge temperature values, wherein the containment analysis specifically comprises the following steps:
sorting a plurality of timing values from large to small to obtain timing sorting data, counting the total amount of the timing sorting data and calibrating the timing sorting data as a timing number, dividing the timing number by two, calculating the middle number of the timing sorting data and calibrating the timing median, summing the maximum value and the minimum value in the timing sorting data, dividing the sum of the maximum value and the minimum value in the timing sorting data by two, calculating a timing difference, substituting each numerical value of the timing sorting data into a mean value calculation formula, calculating a timing mean value, calculating the timing mean value and a plurality of timing sorting data respectively, calculating a plurality of timing difference values, calculating a mean value of the timing difference values, calculating a timing mean value, a timing mean value and a timing median value, and a timing difference value, calculating a floating timing value, wherein the specific calculation process of the floating timing value is as follows: subtracting the time-release average difference from the absolute value of the time-release difference and the time-release median difference, and selecting the absolute value of the final value and calibrating the absolute value as a floating time-release value;
sorting a plurality of putting values from large to small to obtain putting sorting data, counting the total quantity of the putting sorting data and calibrating the total quantity of the putting sorting data into the putting number, dividing the putting number by two, calculating the middle number of the putting sorting data and calibrating the middle number of the putting sorting data into the putting median, summing the maximum value and the minimum value of the putting sorting data, dividing the sum of the maximum value and the minimum value of the putting sorting data by two, calculating the putting difference, substituting each numerical value of the putting sorting data into a mean calculation formula, calculating a putting mean value, performing difference calculation on the putting mean value and a plurality of putting sorting data respectively, calculating a plurality of putting difference values, performing mean calculation on a plurality of putting difference values, calculating the putting average difference value, performing floating putting calculation on the putting average difference value, the putting median and the putting difference value, and calculating the floating putting value, wherein the floating putting value is calculated by the specific calculation process: subtracting the average difference of the release quantity from the absolute value of the difference between the release quantity difference and the release quantity median, and selecting the absolute value of the final value and calibrating the absolute value as a floating release value;
sorting a plurality of temperature release values from large to small to obtain temperature release sorting data, counting the total quantity of the temperature release sorting data and calibrating the total quantity of the temperature release sorting data into a temperature release number, dividing the temperature release number by two, calculating the middle number of the temperature release sorting data and calibrating the middle number of the temperature release sorting data into a temperature release median, summing the maximum value and the minimum value in the temperature release sorting data, dividing the sum of the maximum value and the minimum value in the temperature release sorting data by two, calculating a temperature release difference value, substituting each numerical value of the temperature release sorting data into a mean value calculation formula, calculating a temperature release mean value, performing difference calculation on the temperature release mean value and a plurality of temperature release sorting data respectively, calculating a plurality of temperature release number difference values, performing mean value calculation on a plurality of temperature release number difference values, calculating a temperature release number average difference value, a temperature release median, and a temperature release difference value, calculating a floating temperature release value, and calculating a floating temperature release value, wherein the specific calculation process of the floating temperature release value is as follows: subtracting the average temperature difference value from the absolute value of the temperature difference value and the temperature median difference value, and selecting the absolute value of the final value to calibrate the absolute value as a floating temperature value;
setting a charge average value, a floating charge value, a charge temperature average value, a floating charge value, a discharge average value, a floating discharge value, a discharge temperature average value and a floating discharge value as a charge-discharge analysis data;
wherein, the capacity analysis and the capacity analysis refer to a capacity charging analysis of a first charging and a capacity charging analysis of a first discharging, respectively;
according to an analysis method of one-capacity charge analysis, performing two-capacity charge analysis on the charge value, the charge value and the charge temperature value, and according to the analysis method of one-capacity charge analysis, performing two-capacity containment analysis on the charge value, the charge value and the charge temperature value;
according to the two-volume full analysis and the two-containing analysis, calculating two charge average values, two floating charge values, two charge temperature average values, two floating charge values, two discharge average values, two floating discharge values, two discharge temperature average values and two floating discharge values, and calibrating the two charge and discharge average values, the two floating discharge values and the two floating discharge values into two charge and discharge analysis data;
according to a capacity analysis and a containing analysis, the corresponding third charge and discharge, fourth charge and discharge, \8230 \ 8230;, nth charge and discharge analysis is performed, thereby obtaining three-charge-discharge analysis data, four-charge-discharge analysis data, \8230;, N-charge-discharge analysis data, and calibrating the N-charge-discharge analysis data into N-charge-discharge analysis data;
the energy storage environment processing unit is used for carrying out energy storage data analysis operation on environmental factors during charging and discharging of the super capacitor, and the specific process of the energy storage data analysis operation is as follows:
calibrating a relevant numerical value of the environment of the super capacitor during charging and discharging as environment data, wherein the environment data comprises an environment temperature during charging and discharging, a shelving time of the super capacitor and a total value of the actual consumed electric quantity of the super capacitor, and the environment temperature, the shelving time of the super capacitor and the total value of the actual consumed electric quantity of the super capacitor correspond to a charging value, a discharging value and a discharging value;
selecting the environmental temperature corresponding to a plurality of super capacitors in the same sample holding group, the shelving time of the super capacitors and the total value of the actual consumed electric quantity of the super capacitors, selecting variables, selecting the super capacitors with the same environmental temperature and different shelving times of the super capacitors in the same sample holding group, and substituting the shelving time of the super capacitors and the total value of the actual consumed electric quantity of the super capacitors into a calculation formula: the method comprises the steps that the difference value of the actual power consumption total values of the super capacitors corresponding to the two super capacitors = the shelving influence factor of the shelf time difference of the super capacitors corresponding to the two super capacitors, the shelving influence factor is deduced reversely, the shelving influence factors of the super capacitors in the same sample holding group are calculated according to the same calculation mode, the shelving influence factors are subjected to mean value calculation, and a shelving influence mean value is calculated;
selecting the super capacitors with different and same environmental temperatures and the same shelf time of the super capacitors in the same sample holding group, and substituting the total value of the environmental temperatures and the actual consumed electric quantity of the super capacitors into a calculation formula: the method comprises the steps that the difference of the total actual consumed electric quantity values of the super capacitors corresponding to the two super capacitors = the environmental temperature difference corresponding to the two super capacitors × the environmental influence factor is deduced reversely, the environmental influence factors of the super capacitors in the same sample containing group are calculated according to the same calculation mode, the environmental influence factors are subjected to mean value calculation, and an environmental influence mean value is calculated;
the capacitor condition analysis unit processes the obtained data according to the energy storage environment processing unit and the capacitor real-time monitoring unit, and performs capacitor comprehensive analysis processing on the charging of the capacitor, wherein the specific processing process of the capacitor comprehensive analysis processing is as follows:
extracting charging and discharging analysis data, \8230, charging and discharging analysis data N and carrying out secondary treatment: selecting a first charging time average value, a second charging time average value, \8230 \ 8230;, and an N charging time average value, calculating the difference value between every two adjacent values of the first charging time average value, the second charging time average value, \\8230;, and the N charging time average value, calculating a plurality of time difference values, selecting a floating charging value, a second floating charging value, \8230; \8230, and the N floating charging value, and calculating difference between every two adjacent values between the first floating charge value, the second floating charge value, \8230;, and the N floating charge value, calculating several time-counting difference values and corresponding time-counting difference values, establishing virtual plane rectangular coordinate system, the method comprises the steps of sequentially carrying out numerical value marking on a plurality of actual calculation difference values, carrying out straight line connection to obtain a calculation difference value connection line, carrying out mean value calculation on a plurality of time calculation difference values, calculating a time calculation average difference value, carrying out difference value calculation on the time calculation average difference value and a plurality of time calculation difference values respectively, calculating a time evaluation difference value, setting a preset value, judging that the difference value is large when the time evaluation difference value is larger than or equal to the preset value, judging that the difference value is small when the time evaluation difference value is larger than or equal to the preset value, identifying the number of the difference value larger than or smaller than the difference value, carrying out duty ratio calculation, judging that the time charging is correct when the number of times of the difference value is smaller than a duty ratio threshold value, generating a normal time charging signal, and otherwise judging that the time charging is wrong, and generating a time charging abnormal signal;
according to the processing mode of a normal signal and an abnormal signal during charging, the data corresponding to charging and discharging in the charging and discharging analysis data are processed, so that a normal signal during discharging, an abnormal signal during discharging, a normal signal or an abnormal signal during charging or an abnormal signal during discharging, a normal signal during discharging or an abnormal signal during discharging, a normal signal or an abnormal signal during charging or an abnormal signal during discharging, a normal signal or an abnormal signal during discharging, and a normal signal or an abnormal signal during discharging are obtained;
counting the times of abnormal signals in the normal charging signal or abnormal charging signal, and performing proportion calculation, wherein if the proportion value of the times of the abnormal signals is less than a threshold value, the charging is determined to be normal, and a charging safety signal is generated, otherwise, the charging is determined to be abnormal, and a charging danger signal is generated;
counting the times of abnormal signals in the discharge normal signal or the discharge abnormal signal, and performing proportion calculation, wherein when the proportion value of the times of the abnormal signals is smaller than a threshold value, the discharge is determined to be normal, and a discharge safety signal is generated, otherwise, the discharge is determined to be abnormal, and a discharge danger signal is generated;
draw the safety signal that charges, charge dangerous signal, the safety signal that discharges, the dangerous signal that discharges, and discern it, when discerning charge dangerous signal and discharge dangerous signal and appearing simultaneously, then judge that charge and discharge is unusual, generate the unusual alarm of electric capacity, when charge safety signal and discharge safety signal and appearing simultaneously, then judge charge and discharge safety, generate electric capacity safety suggestion, when charge dangerous signal or discharge dangerous signal and appearing simultaneously, then draw corresponding influence mean value of shelving, environmental influence mean value and substitution formula: the evaluation value = a resting influence mean value + a first weight coefficient + an environmental influence mean value + a second weight coefficient, the evaluation value is compared with a threshold, when the evaluation value is smaller than the threshold, a capacitance safety prompt is generated, otherwise, a capacitance abnormity alarm is generated, wherein the first weight coefficient and the second weight coefficient are preset values;
transmitting the capacitance abnormity alarm or the capacitance safety prompt to an energy storage safety early warning unit;
the energy storage safety early warning unit carries out safety early warning according to unusual alarm of electric capacity or electric capacity safety suggestion, and safety early warning's concrete process is:
and extracting and identifying the abnormal capacitor alarm or the safe capacitor prompt, sending an alarm signal when the abnormal capacitor alarm is identified, and displaying 'safe charging and discharging of the capacitor' when the safe capacitor prompt is identified without alarming.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.

Claims (4)

1. A super capacitor cyclic charge-discharge energy storage supervision control system is characterized by comprising a capacitor data acquisition unit, a capacitor real-time monitoring unit, an energy storage environment processing unit, a capacitor condition analysis unit and an energy storage safety early warning unit;
the capacitance data acquisition unit is used for acquiring data of the super capacitor which performs cyclic charge-discharge energy storage, and marking the acquired data as capacitance data, wherein the capacitance data comprises capacitance model data and capacitance batch data;
the capacitor real-time monitoring unit is used for monitoring the energy storage of the super capacitor which is subjected to cyclic charge and discharge energy storage, carrying out capacitor real-time analysis processing and obtaining a charge and discharge real-time data group through processing, wherein the charge and discharge real-time data group comprises one charge and discharge analysis data, two charge and discharge analysis data, \8230 \ 8230;, and N charge and discharge analysis data;
the specific process of the real-time analysis and processing of the capacitance is as follows:
extracting capacitor model data and capacitor batch data, identifying and dividing super capacitors which are subjected to cyclic charge-discharge energy storage according to the capacitor model data and the capacitor batch data, dividing a plurality of sample groups, and marking the super capacitors in the sample groups as YjDi, i =1,2,3, \8230, 8230, n1, j =1,2,3, \8230, 8230, n2, wherein the values of n1 and n2 are positive integers;
selecting a capacitor mark YjDi, and carrying out capacitance data processing on data of each capacitor to obtain first charge-discharge analysis data, second charge-discharge analysis data, \8230;, and N charge-discharge analysis data;
the specific process of capacitance data processing is as follows:
calibrating the charging times, the charging time points, the charging electric quantity data and the temperature data of the capacitor during charging of each capacitor as a charging value, a charging value and a charging temperature value, and calibrating the discharging times, the discharging time points, the discharging electric quantity data and the temperature data of the capacitor during discharging of each capacitor as a discharging value, a discharging value and a discharging value;
selecting a capacitor with a charge value of one time in the same sample containing group, carrying out data arrangement on a charge value, a charge value and a charge temperature value corresponding to the capacitor with the charge value of one time in the sample containing group so as to obtain a plurality of charge values, charge values and charge temperature values, carrying out a charge analysis on the charge values, charge values and charge temperature values so as to obtain a charge mean value, a floating charge value, a charge temperature mean value, a floating charge value, a discharge mean value, a floating discharge value, a discharge mean value and a floating discharge value;
one specific analysis process of the capacity analysis is as follows:
sorting a plurality of charging values from large to small to obtain charging sorting data, counting the total quantity of the charging sorting data and calibrating the total quantity as the charging number, dividing the charging number by two, calculating the middle quantity of the charging sorting data and calibrating the middle quantity as the charging median, summing the maximum value and the minimum value in the charging sorting data, dividing the sum of the maximum value and the minimum value in the charging sorting data by two to calculate the charging difference, substituting each numerical value of the charging sorting data into a mean value calculation formula to calculate a charging mean value, calculating the charging mean value and the difference of the charging sorting data respectively, calculating a plurality of charging time difference values, calculating the mean value of the charging time difference values, calculating the charging time mean value, performing floating charging value calculation on the charging time difference value, calculating a floating charging value, wherein the specific calculation process of the floating charging value is as follows: subtracting the average difference value of the charging time from the absolute value of the difference value of the charging time difference value and the charging time median value, and selecting the absolute value of the final value to calibrate as a floating charging value;
processing the charge value, the charge temperature value, the discharge value and the discharge value according to a calculation method of a charge average value and a floating charge value to obtain a charge average value, a floating charge value, a discharge average value, a floating discharge value, a discharge average value and a floating discharge value;
the energy storage environment processing unit is used for carrying out energy storage data analysis operation on environmental factors during charging and discharging of the super capacitor and processing the environmental factors to obtain a shelving influence mean value and an environmental influence mean value;
the capacitor condition analysis unit performs capacitor comprehensive analysis processing according to data obtained by processing of the energy storage environment processing unit and the capacitor real-time monitoring unit to obtain a capacitor abnormity alarm or a capacitor safety prompt;
the energy storage safety early warning unit carries out safety early warning according to the unusual alarm of electric capacity or electric capacity safety suggestion, specifically is: and extracting and identifying the abnormal capacitor alarm or the safe capacitor prompt, sending an alarm signal when the abnormal capacitor alarm is identified, and displaying 'safe charging and discharging of the capacitor' when the safe capacitor prompt is identified without alarming.
2. The super capacitor cycle charging and discharging energy storage supervision and control system according to claim 1, characterized in that the specific process of energy storage data analysis operation is as follows:
calibrating the relevant numerical value of the environment of the super capacitor during charging and discharging as environment data, wherein the environment data comprises the environment temperature during charging and discharging, the shelf time of the super capacitor and the total value of the actual consumed electric quantity of the super capacitor;
selecting the environment temperature, the shelving time of the super capacitors and the total value of the actual consumed electric quantity of the super capacitors corresponding to the plurality of super capacitors in the same sample holding group, calibrating the shelving time of the super capacitors as independent variables, and calibrating the total value of the actual consumed electric quantity of the super capacitors as dependent variables according to a calculation formula: the method comprises the steps that the difference of the total actual electric quantity consumed by the super capacitors corresponding to the two super capacitors = the difference of the shelf time of the super capacitors corresponding to the two super capacitors × shelf influence factors, the shelf influence factors are deduced reversely, the shelf influence factors of the super capacitors in the same sample containing group are calculated according to the same calculation mode, the shelf influence factors are subjected to mean value calculation, and a shelf influence mean value is calculated;
selecting the super capacitors with different and same environmental temperatures and same shelf time of the super capacitors in the same capacitor sample group, and calculating the environmental impact mean value according to the shelf impact mean value calculation method.
3. The super capacitor circulating charge-discharge energy storage supervision and control system according to claim 1, characterized in that the specific processing procedures of the comprehensive analysis and processing of the capacitor are as follows:
extracting first charging and discharging analysis data, second charging and discharging analysis data, \8230 \ N charging and discharging analysis data and carrying out secondary processing: selecting a first charging time mean value, a second charging time mean value, a.. Once.ang.N charging time mean value, calculating the difference between every two adjacent numerical values, calculating a plurality of time difference values, calculating the difference between every two adjacent numerical values between a first floating charging value, a second floating charging value, a.. Once.ang.N floating charging value, and calculating a plurality of time floating difference values;
performing difference calculation on a plurality of timing difference values and corresponding timing floating difference values, calculating a plurality of time calculation difference values, establishing a virtual plane rectangular coordinate system, performing numerical value marking on a plurality of actual calculation difference values in sequence, performing linear connection to obtain a time calculation difference value connecting line, performing mean calculation on a plurality of time calculation difference values, calculating a time calculation average difference value, performing difference calculation on the time calculation average difference value and a plurality of time calculation difference values respectively, calculating a time evaluation difference value, setting a preset value, judging that the difference value is large when the time evaluation difference value is larger than or equal to the preset value, judging that the difference value is small otherwise, identifying that the difference value is larger than the difference value, performing proportion calculation, judging that the time filling is correct when the number of times of the difference value is smaller than a proportion threshold value, generating a time filling normal signal, otherwise, judging that the time filling is wrong, and generating a time filling abnormal signal;
according to the method for processing the normal signal and the abnormal signal during charging, the normal signal during discharging, the abnormal signal during discharging, the normal signal or the abnormal signal during charging, the normal signal during charging or the abnormal signal during discharging, the normal signal during discharging or the abnormal signal during discharging are processed and converted, and the abnormal alarm or the safety prompt of the capacitor is obtained.
4. The super capacitor cycle charge-discharge energy storage supervisory control system according to claim 3, wherein the specific process of signal conversion is as follows:
counting the times of abnormal signals in the discharge normal signal or the discharge abnormal signal, and the discharge normal signal or the discharge abnormal signal, carrying out proportion calculation, marking the proportion value of the times of the abnormal signals as Az, setting a threshold value M1, generating a discharge safety signal when Az is less than M1, and generating a discharge danger signal when Az is more than or equal to M1;
to charge the safety signal, charge the danger signal, discharge the safety signal, discharge the danger signal and discern, when discerning charge the danger signal and discharge the danger signal and appear simultaneously, generate the unusual alarm of electric capacity, when charge the safety signal and discharge the safety signal and appear simultaneously, generate electric capacity safety suggestion, when charge the danger signal or discharge the danger signal and appear simultaneously, then draw corresponding shelving influence mean value, environmental impact mean value and substitute the formula of calculating: the evaluation value = the resting influence mean value + the first weight coefficient + the environmental influence mean value + the second weight coefficient, the evaluation value is calculated and marked as Pj and compared with a threshold value M2, when Pj is smaller than M2, a capacitance safety prompt is generated, and when Pj is larger than or equal to M2, a capacitance abnormity alarm is generated.
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