CN115473319A - Energy storage method based on super capacitor - Google Patents
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- 238000004146 energy storage Methods 0.000 title claims abstract description 88
- 239000003990 capacitor Substances 0.000 title claims abstract description 55
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- 238000012544 monitoring process Methods 0.000 claims abstract description 167
- 238000007599 discharging Methods 0.000 claims abstract description 23
- 238000004458 analytical method Methods 0.000 claims description 73
- 230000007613 environmental effect Effects 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 6
- 230000002159 abnormal effect Effects 0.000 description 8
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- 150000002500 ions Chemical class 0.000 description 4
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- 239000008151 electrolyte solution Substances 0.000 description 2
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
- G01R19/16566—Circuits and arrangements for comparing voltage or current with one or several thresholds and for indicating the result not covered by subgroups G01R19/16504, G01R19/16528, G01R19/16533
- G01R19/16571—Circuits and arrangements for comparing voltage or current with one or several thresholds and for indicating the result not covered by subgroups G01R19/16504, G01R19/16528, G01R19/16533 comparing AC or DC current with one threshold, e.g. load current, over-current, surge current or fault current
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
- H02J7/0048—Detection of remaining charge capacity or state of charge [SOC]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2207/00—Indexing scheme relating to details of circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J2207/50—Charging of capacitors, supercapacitors, ultra-capacitors or double layer capacitors
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/13—Energy storage using capacitors
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Abstract
The invention discloses an energy storage method based on a super capacitor, belongs to the field of capacitors, and is used for solving the problem that the reason causing energy storage abnormity cannot be analyzed when the energy storage abnormity occurs in the conventional super capacitor, and the method comprises the following steps: monitoring, managing and analyzing the charging and discharging process of the super capacitor: the method comprises the steps of marking a super capacitor to be monitored and managed as a monitoring object, marking the working time of the monitoring object as a monitoring period, dividing the monitoring period into a plurality of monitoring periods, acquiring the overcurrent ratio of the monitoring period through the operational flow value of the monitoring period, and judging whether the operating state of the monitoring object meets the requirement or not through the numerical value of the overcurrent ratio.
Description
Technical Field
The invention belongs to the field of capacitors, relates to a data analysis technology, and particularly relates to an energy storage method based on a super capacitor.
Background
When the super capacitor charges the electrode, the surface charge of the electrode in an ideal polarization electrode state attracts opposite ions in the surrounding electrolyte solution, so that the ions are attached to the surface of the electrode to form an electric double layer, and the electric double layer capacitor is formed. Because the distance between the two charge layers is very small, and a special electrode structure is adopted, the surface area of the electrode is increased by ten thousand times, and thus, the extremely large capacitance is generated.
In the prior art, when the super capacitor has energy storage abnormality, the reason causing the energy storage abnormality cannot be analyzed, and meanwhile, the actual operation state of the super capacitor cannot be fed back through the operation data of the super capacitor.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an energy storage method based on a super capacitor, which is used for solving the problem that the reason for energy storage abnormity cannot be analyzed when the existing super capacitor has energy storage abnormity.
The technical problem to be solved by the invention is as follows: how to provide a super capacitor energy storage method which can analyze the reason causing the energy storage abnormity when the energy storage abnormity occurs.
The purpose of the invention can be realized by the following technical scheme: an energy storage method based on a super capacitor comprises the following steps:
monitoring, managing and analyzing the charging and discharging process of the super capacitor: the method comprises the steps of marking a super capacitor to be monitored and managed as a monitoring object, marking the working time of the monitoring object as a monitoring period, dividing the monitoring period into a plurality of monitoring time periods, obtaining the overcurrent ratio of the monitoring period through the traffic flow values of the monitoring time periods, and judging whether the running state of the monitoring object meets requirements or not through the numerical value of the overcurrent ratio;
and step two, performing state analysis when the running state of the monitored object does not meet the requirement: establishing a rectangular coordinate system by taking the running time of a monitored object as an X axis and the current value of a monitoring period as a Y axis, marking a plurality of monitoring points in the rectangular coordinate system by taking the starting time of the monitoring period as an abscissa and the current value of the monitoring period as an ordinate, sequentially connecting the monitoring points from left to right to obtain a plurality of monitoring line segments, performing slope analysis on the monitoring line segments and judging whether the monitored object has a state problem or not according to the analysis result;
step three, environment analysis is carried out on the dominant time period: acquiring temperature data WD, voltage data DY and humidity data SD in the dominant time period, carrying out numerical calculation to obtain an environment coefficient HJ, and judging the reason why the operation state of the monitored object does not meet the requirement according to the numerical value of the environment coefficient.
Further, in the step one, the obtaining process of the overflow ratio comprises: acquiring a traffic value of a monitored object in a monitoring period, wherein the traffic value is the maximum value of the current value of the monitored object in the monitoring period, acquiring a traffic threshold value through a storage module, and comparing the traffic value with the traffic threshold value: if the operational flow value is smaller than the operational flow threshold value, judging that the current value of the monitored object in the monitoring time period meets the requirement, and marking the corresponding monitoring time period as a normal time period; and if the operation current value is greater than or equal to the operation current threshold value, judging that the current value of the monitored object in the monitoring time interval does not meet the requirement, marking the corresponding monitoring time interval as an overcurrent time interval, acquiring the number of the overcurrent time intervals, and marking the number of the overcurrent time intervals and the number of the monitoring time intervals as an overcurrent ratio.
Further, in the first step, the specific process of determining whether the operation state of the monitored object meets the requirement includes: acquiring an overcurrent threshold value through a storage module, and comparing the overcurrent ratio with the overcurrent threshold value: if the overcurrent ratio is smaller than the overcurrent threshold, judging that the running state of the monitored object in the monitoring period meets the requirement; if the overcurrent ratio is larger than or equal to the overcurrent threshold, the operation state of the monitored object in the monitoring period is judged not to meet the requirement, the operation supervision module sends a state analysis signal to the energy storage management platform, and the energy storage management platform sends the state analysis signal to the state analysis module after receiving the state analysis signal.
Further, in the second step, the specific process of performing slope analysis on the monitoring line segment includes: marking the monitoring line segments on two sides of the monitoring point corresponding to the overcurrent time interval as connecting line segments of the overcurrent time interval, marking the sum of the slopes of the two connecting line segments of the overcurrent time interval as a dominant value of the overcurrent time interval, if the dominant value is a negative value or zero, marking the corresponding overcurrent time interval as a dominant time interval, and marking the monitoring point corresponding to the dominant time interval as a dominant point; if the dominant value is a positive value, marking the corresponding overflowing time period as a recessive time period, and marking the monitoring point corresponding to the recessive time period as a recessive point; and marking the ratio of the number of the dominant points to the number of the monitoring points as a significance ratio, acquiring a dominant threshold value through a storage module, comparing the significance ratio with the dominant threshold value, and judging whether the monitoring object has a state problem or not according to a comparison result.
Further, the comparison process of the significance ratio with the significance threshold includes: if the significance ratio is smaller than the significance threshold value, judging that the monitoring object has no state problem, and sending a state qualified signal to the energy storage management platform by the state analysis module; and if the saliency ratio is greater than or equal to the saliency threshold, judging that the monitored object has a state problem, and performing depth analysis on the monitored object.
Further, the specific process of performing depth analysis on the monitored object includes: acquiring the abscissa value of the dominant point, establishing a dominant set, performing variance calculation on the dominant set to obtain a concentration coefficient, acquiring a concentration threshold value through a storage module, and comparing the concentration coefficient with the concentration threshold value: if the concentration coefficient is smaller than the concentration threshold value, judging that the monitored object has energy storage abnormity, sending an energy storage abnormity signal to an energy storage management platform by a state analysis module, and sending the energy storage abnormity signal to a mobile phone terminal of a manager after the energy storage management platform receives the energy storage abnormity signal; and if the concentration coefficient is greater than or equal to the concentration threshold value, sending the dominant time period and the environment analysis signal to the energy storage management platform, and sending the dominant time period and the environment analysis signal to the environment analysis module after the energy storage management platform receives the dominant time period and the environment analysis signal.
Further, in step three, the acquiring process of the temperature data WD of the dominant period includes: acquiring an air temperature mean value and a standard temperature range in an explicit time period, marking the mean value of the maximum value and the minimum value of the standard temperature range as a temperature standard value, and marking the absolute value of the difference value of the air temperature mean value and the temperature standard value as temperature data WD;
the acquiring process of the voltage data DY in the dominant period includes: acquiring a voltage mean value and a voltage standard range in an explicit time period, marking an average value of a maximum value and a minimum value of the voltage standard range as a voltage standard value, and marking an absolute value of a difference value of the voltage mean value and the voltage standard value as voltage data DY;
the process of acquiring humidity data SD for the dominant period includes: and acquiring the average value of the air humidity and the standard range of the humidity in the dominant period, marking the average value of the maximum value and the minimum value of the standard range of the humidity as a standard humidity value, and marking the absolute value of the difference value of the average value of the air humidity and the standard humidity value as humidity data SD.
Further, in the third step, the determining the reason why the operation state of the monitoring object does not meet the requirement includes: obtaining an environment threshold HJmax through a storage module, and comparing the environment coefficient HJ with the environment threshold HJmax:
if the environment coefficient HJ is smaller than the environment threshold value HJmax, the dominant time interval is not marked;
if the environment coefficient HJ is greater than or equal to the environment threshold HJmax, marking the corresponding dominant time period as an ambient shadow time period;
analysis of the distribution of ghost periods in the dominant period: if an environment period exists in the dominant period and the abscissa value of the corresponding dominant point of the environment period is the minimum in the abscissa values of all the dominant points, the fact that the running state of the monitored object does not meet the requirements in the monitoring period is judged to be environmental influence, the environment analysis module sends an environment adjusting signal to the energy storage management platform, and the energy storage management platform sends the environment adjusting signal to a mobile phone terminal of a manager after receiving the environment adjusting signal; otherwise, judging that the monitored object has energy storage abnormity, sending an energy storage abnormity signal to the energy storage management platform by the environment analysis module, and sending the energy storage abnormity signal to a mobile phone terminal of a manager after the energy storage management platform receives the energy storage abnormity signal.
Compared with the prior art, the invention has the beneficial effects that:
1. the super capacitor charging and discharging process can be monitored, managed and analyzed through the operation supervision module, the charging and discharging current in each monitoring period is monitored in a time-interval monitoring mode, so that the charging and discharging state of a monitored object in each period is fed back, the feedback and marking are carried out in time when the charging and discharging current is abnormal, then the current data of all monitoring periods in a comprehensive monitoring period are comprehensively analyzed, and the accuracy of the monitoring and analyzing result of the charging and discharging process is improved;
2. according to the invention, the actual state monitoring analysis can be carried out on the super capacitor when the charging and discharging state is abnormal through the state analysis module, the current variation trend between each adjacent monitored object is fed back in a manner of establishing a coordinate system, so that a dominant time period and a recessive time period are screened out, the actual running state of the super capacitor is fed back according to the quantity ratio of the dominant time period in the monitoring time period, the energy storage abnormal misjudgment caused by the normal state fluctuation of the super capacitor is avoided, and the accuracy of the state monitoring result is improved;
3. the environment analysis module can comprehensively analyze the running environment of the super capacitor through various environment parameters in the dominant time period to obtain the environment coefficient, so that the appropriate degree of the working environment of the super capacitor is fed back through the environment coefficient, the reason causing the running state abnormity of the super capacitor is further judged, and a manager can take a targeted measure when carrying out abnormity processing, so that the abnormity processing efficiency is improved.
Drawings
To facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of an overall system according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a method according to a second embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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 obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
When the super capacitor charges the electrode, the surface charge of the electrode in an ideal polarization electrode state attracts opposite ions in the surrounding electrolyte solution, so that the ions are attached to the surface of the electrode to form an electric double layer, and the electric double layer capacitor is formed. Because the distance between the two charge layers is very small, and a special electrode structure is adopted, the surface area of the electrode is increased by ten thousand times, and thus, the extremely large capacitance is generated.
Example one
Referring to fig. 1, an energy storage system based on a super capacitor includes an energy storage management platform, and the energy storage management platform is communicatively connected with an operation monitoring module, a state analysis module, an environment detection module, and a storage module.
The operation supervision module is used for monitoring, managing and analyzing the charging and discharging processes of the super capacitor: the method comprises the following steps of marking a super capacitor to be monitored and managed as a monitoring object, marking the working time of the monitoring object as a monitoring period, dividing the monitoring period into a plurality of monitoring periods, obtaining the current value of the monitoring object in the monitoring period, obtaining the maximum value of the current value of the monitoring object in the monitoring period, obtaining the current threshold value through a storage module, and comparing the current value with the current threshold value: if the operational flow value is smaller than the operational flow threshold value, judging that the current value of the monitored object in the monitoring time period meets the requirement, and marking the corresponding monitoring time period as a normal time period; if the operation current value is greater than or equal to the operation current threshold value, judging that the current value of the monitored object in the monitoring time period does not meet the requirement, marking the corresponding monitoring time period as an overcurrent time period, acquiring the number of the overcurrent time periods, marking the number of the overcurrent time periods and the number of the monitoring time periods as an overcurrent ratio, acquiring the overcurrent threshold value through a storage module, and comparing the overcurrent ratio with the overcurrent threshold value: if the overcurrent ratio is smaller than the overcurrent threshold, judging that the running state of the monitored object in the monitoring period meets the requirement; if the overcurrent ratio is greater than or equal to the overcurrent threshold, judging that the running state of the monitored object in the monitoring period does not meet the requirement, sending a state analysis signal to the energy storage management platform by the running supervision module, and sending the state analysis signal to the state analysis module after the energy storage management platform receives the state analysis signal; the charging and discharging process of the super capacitor is monitored, managed and analyzed, the charging and discharging current in each monitoring period is monitored in a time-sharing monitoring mode, the charging and discharging state of a monitored object in each period is fed back, the feedback and the marking are carried out in time when the charging and discharging current is abnormal, then the current data of all the monitoring periods in a comprehensive monitoring period are comprehensively analyzed, and the accuracy of the monitoring and analyzing result of the charging and discharging process is improved.
The state analysis module is used for carrying out state analysis on the monitored object after receiving the state analysis signal: establishing a rectangular coordinate system by taking the running time of a monitoring object as an X axis and the current value of a monitoring period as a Y axis, marking a plurality of monitoring points in the rectangular coordinate system by taking the starting time of the monitoring period as an abscissa and the current value of the monitoring period as an ordinate, sequentially connecting the monitoring points from left to right to obtain a plurality of monitoring line segments, marking the monitoring line segments on two sides of the monitoring points corresponding to the overcurrent period as connecting line segments of the overcurrent period, marking the sum of the slopes of the two connecting line segments of the overcurrent period as an explicit value of the overcurrent period, marking the corresponding overcurrent period as an explicit period if the explicit value is a negative value or zero, and marking the monitoring point corresponding to the explicit period as an explicit point; if the dominant value is a positive value, marking the corresponding overcurrent time interval as a recessive time interval, and marking the monitoring point corresponding to the recessive time interval as a recessive point; the ratio of the number of the dominant points to the number of the monitoring points is marked as a significance ratio, a dominant threshold value is obtained through a storage module, and the significance ratio is compared with the dominant threshold value: if the significance ratio is smaller than the significance threshold value, judging that the monitoring object has no state problem, and sending a state qualified signal to the energy storage management platform by the state analysis module; if the saliency ratio is larger than or equal to the dominant threshold, judging that the monitored object has a state problem, and performing depth analysis on the monitored object: acquiring the abscissa value of the dominant point, establishing a dominant set, calculating the variance of the dominant set to obtain a concentration coefficient, acquiring a concentration threshold value through a storage module, and comparing the concentration coefficient with the concentration threshold value: if the concentration coefficient is smaller than the concentration threshold value, judging that the monitored object has energy storage abnormity, sending an energy storage abnormity signal to an energy storage management platform by a state analysis module, and sending the energy storage abnormity signal to a mobile phone terminal of a manager after the energy storage management platform receives the energy storage abnormity signal; if the concentration coefficient is larger than or equal to the concentration threshold value, sending the dominant time period and the environment analysis signal to the energy storage management platform, and sending the dominant time period and the environment analysis signal to the environment analysis module after the energy storage management platform receives the dominant time period and the environment analysis signal; carry out actual state monitoring analysis to ultracapacitor system when charge-discharge state is unusual, through the mode of establishing the coordinate system, feed back the current variation trend between each adjacent monitoring object to select dominant time interval and recessive time interval from it, and then feedback ultracapacitor system's actual running state through the quantity proportion of dominant time interval in the monitoring time interval, avoid because ultracapacitor system's normal condition fluctuates and causes the unusual erroneous judgement of energy storage, thereby improve the accuracy nature of state monitoring result.
The environment analysis module is used for carrying out environment analysis on the dominant time interval after receiving the dominant time interval and the environment analysis signal: acquiring temperature data WD, voltage data DY and humidity data SD in an explicit period, wherein the acquiring process of the temperature data WD in the explicit period comprises the following steps: acquiring an air temperature mean value and a standard temperature range in an explicit time period, marking the mean value of the maximum value and the minimum value of the standard temperature range as a temperature standard value, and marking the absolute value of the difference value of the air temperature mean value and the temperature standard value as temperature data WD; the acquiring process of the voltage data DY in the dominant period includes: acquiring a voltage mean value and a voltage standard range in an explicit time period, marking an average value of a maximum value and a minimum value of the voltage standard range as a voltage standard value, and marking an absolute value of a difference value of the voltage mean value and the voltage standard value as voltage data DY; the process of acquiring humidity data SD for the dominant period includes: acquiring an air humidity mean value and a humidity standard range in a dominant period, marking the mean value of the maximum value and the minimum value of the humidity standard range as a humidity standard value, and marking the absolute value of the difference value of the air humidity mean value and the humidity standard value as humidity data SD; obtaining an environment coefficient HJ of the dominant period through a formula HJ = alpha 1 × WD + alpha 2 × DY + alpha 3 × SD, wherein the environment coefficient is a numerical value reflecting the environment suitability degree of the super capacitor for charging and discharging in the dominant period, and the larger the value of the environment coefficient is, the lower the environment suitability degree of the super capacitor for charging and discharging in the dominant period is; wherein alpha 1, alpha 2 and alpha 3 are all proportionality coefficients, and alpha 1 is more than alpha 2 and more than alpha 3 is more than 1; obtaining an environment threshold HJmax through a storage module, and comparing the environment coefficient HJ with the environment threshold HJmax: if the environment coefficient HJ is smaller than the environment threshold value HJmax, not marking the dominant time period; if the environment coefficient HJ is greater than or equal to the environment threshold value HJmax, marking the corresponding dominant time interval as an environment period; analysis of the distribution of ghost periods in the dominant period: if an environment time period exists in the dominant time period and the abscissa value of the corresponding dominant point of the environment time period is the minimum of the abscissa values of all the dominant points, the reason that the running state of the monitored object does not meet the requirement in the monitoring period is judged to be environmental influence, the environment analysis module sends an environment adjusting signal to the energy storage management platform, and the energy storage management platform sends the environment adjusting signal to a mobile phone terminal of a manager after receiving the environment adjusting signal; otherwise, judging that the monitored object has energy storage abnormity, sending an energy storage abnormity signal to the energy storage management platform by the environment analysis module, and sending the energy storage abnormity signal to a mobile phone terminal of a manager after the energy storage management platform receives the energy storage abnormity signal; comprehensive analysis is carried out on the running environment of the super capacitor through various environmental parameters in the explicit time period to obtain an environmental coefficient, so that the working environment suitability degree of the super capacitor is fed back through the environmental coefficient, the reason causing the running state abnormity of the super capacitor is further judged, and a manager can take a targeted measure when carrying out abnormity processing, so that the abnormity processing efficiency is improved;
an energy storage method based on a super capacitor comprises the following steps of monitoring, managing and analyzing the charging and discharging process of the super capacitor during working: the method comprises the steps of marking a super capacitor to be monitored and managed as a monitoring object, marking the working time of the monitoring object as a monitoring period, dividing the monitoring period into a plurality of monitoring time intervals, obtaining the overcurrent ratio of the monitoring period through the current value of the monitoring time intervals, judging whether the running state of the monitoring object meets requirements or not according to the numerical value of the overcurrent ratio, feeding back and marking in time when charging and discharging current is abnormal, then comprehensively analyzing current data of all the monitoring time intervals in the comprehensive monitoring period, and improving the accuracy of monitoring and analyzing results in the charging and discharging process; and when the running state of the monitored object does not meet the requirement, performing state analysis: establishing a rectangular coordinate system by taking the running time of a monitored object as an X axis and the current value of a monitoring period as a Y axis, marking a plurality of monitoring points in the rectangular coordinate system by taking the starting time of the monitoring period as an abscissa and the current value of the monitoring period as an ordinate, sequentially connecting the monitoring points from left to right to obtain a plurality of monitoring line segments, performing slope analysis on the monitoring line segments, judging whether the monitored object has a state problem or not according to an analysis result, and feeding back the actual running state of the super capacitor according to the quantity ratio of the dominant period in the monitoring period, so as to avoid energy storage abnormal misjudgment caused by normal state fluctuation of the super capacitor; environmental analysis was performed for the dominant period: temperature data WD, voltage data DY and humidity data SD in the dominant time period are obtained, numerical calculation is carried out to obtain an environment coefficient HJ, the reasons that the operation state of the monitored object does not meet the requirements are judged according to the numerical value of the environment coefficient, the reasons causing the operation state abnormity of the super capacitor are judged, and a manager can take specific measures when carrying out abnormity processing, so that the abnormity processing efficiency is improved.
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.
The formulas are all calculated by removing dimensions and taking numerical values, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the latest real situation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation; such as the formula: HJ = α 1 × wd + α 2 × dy + α 3 × sd; collecting multiple groups of sample data and setting corresponding environment coefficients for each group of sample data by a person skilled in the art; substituting the set environmental coefficient and the acquired sample data into formulas, forming a ternary linear equation set by any three formulas, screening the calculated coefficients and taking the mean value to obtain values of alpha 1, alpha 2 and alpha 3 which are respectively 3.8744, 3.2531 and 2.9406; the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient only needs to influence the proportional relation between the parameter and the quantized numerical value.
Example two
Referring to fig. 2, based on another concept of the present invention, a method for storing energy based on a super capacitor is proposed, which includes the following steps;
monitoring, managing and analyzing the charging and discharging process of the super capacitor: the method comprises the steps of marking a super capacitor to be monitored and managed as a monitoring object, marking the working time of the monitoring object as a monitoring period, dividing the monitoring period into a plurality of monitoring time periods, obtaining an overcurrent ratio of the monitoring period through the current value of the monitoring time periods, judging whether the running state of the monitoring object meets requirements or not through the numerical value of the overcurrent ratio, feeding back and marking in time when charging and discharging current is abnormal, then comprehensively analyzing current data of all the monitoring time periods in the comprehensive monitoring period, and improving the accuracy of monitoring and analyzing results in the charging and discharging process;
and step two, performing state analysis when the running state of the monitored object does not meet the requirement: establishing a rectangular coordinate system by taking the running time of a monitored object as an X axis and the current value of a monitoring period as a Y axis, marking a plurality of monitoring points in the rectangular coordinate system by taking the starting time of the monitoring period as an abscissa and the current value of the monitoring period as an ordinate, sequentially connecting the monitoring points from left to right to obtain a plurality of monitoring line segments, performing slope analysis on the monitoring line segments, judging whether the monitored object has a state problem or not according to an analysis result, and feeding back the actual running state of the super capacitor according to the quantity ratio of the dominant period in the monitoring period, so as to avoid energy storage abnormal misjudgment caused by normal state fluctuation of the super capacitor;
step three, environment analysis is carried out on the dominant time period: temperature data WD, voltage data DY and humidity data SD in the dominant time period are obtained, numerical calculation is carried out to obtain an environment coefficient HJ, the reasons that the operation state of the monitored object does not meet the requirements are judged according to the numerical value of the environment coefficient, the reasons causing the operation state abnormity of the super capacitor are judged, and a manager can take specific measures when carrying out abnormity processing, so that the abnormity processing efficiency is improved.
In the description herein, references to the description of "one embodiment," "an example," "a specific example," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. An energy storage method based on a super capacitor is characterized by comprising the following steps:
monitoring, managing and analyzing the charging and discharging process of the super capacitor: marking a super capacitor to be monitored and managed as a monitoring object, marking the working time of the monitoring object as a monitoring period, dividing the monitoring period into a plurality of monitoring time periods, acquiring the overcurrent ratio of the monitoring period according to the traffic flow value of the monitoring time periods, and judging whether the running state of the monitoring object meets the requirement according to the numerical value of the overcurrent ratio;
and step two, performing state analysis when the running state of the monitored object does not meet the requirement: establishing a rectangular coordinate system by taking the running time of a monitored object as an X axis and the current value of a monitoring period as a Y axis, marking a plurality of monitoring points in the rectangular coordinate system by taking the starting time of the monitoring period as an abscissa and the current value of the monitoring period as an ordinate, sequentially connecting the monitoring points from left to right to obtain a plurality of monitoring line segments, carrying out slope analysis on the monitoring line segments and judging whether the monitored object has a state problem or not according to an analysis result;
step three, environment analysis is carried out on the dominant time period: acquiring temperature data WD, voltage data DY and humidity data SD in the dominant time period, carrying out numerical calculation to obtain an environment coefficient HJ, and judging the reason why the operation state of the monitored object does not meet the requirement according to the numerical value of the environment coefficient.
2. The energy storage method based on the super capacitor as claimed in claim 1, wherein in step one, the obtaining process of the overcurrent ratio comprises: acquiring a traffic value of a monitored object in a monitoring period, wherein the traffic value is the maximum value of the current value of the monitored object in the monitoring period, acquiring a traffic threshold value through a storage module, and comparing the traffic value with the traffic threshold value: if the operational flow value is smaller than the operational flow threshold value, judging that the current value of the monitored object in the monitoring time period meets the requirement, and marking the corresponding monitoring time period as a normal time period; if the operation current value is larger than or equal to the operation current threshold value, judging that the current value of the monitored object in the monitoring time interval does not meet the requirement, marking the corresponding monitoring time interval as an overcurrent time interval, acquiring the number of the overcurrent time intervals, and marking the number of the overcurrent time intervals and the number of the monitoring time intervals as an overcurrent ratio.
3. The supercapacitor-based energy storage method according to claim 2, wherein in the first step, the specific process of determining whether the operation state of the monitored object meets the requirement includes: acquiring an overcurrent threshold value through a storage module, and comparing the overcurrent ratio with the overcurrent threshold value: if the overcurrent ratio is smaller than the overcurrent threshold, judging that the running state of the monitored object in the monitoring period meets the requirement; if the overcurrent ratio is larger than or equal to the overcurrent threshold, the operation state of the monitored object in the monitoring period is judged not to meet the requirement, the operation supervision module sends a state analysis signal to the energy storage management platform, and the energy storage management platform sends the state analysis signal to the state analysis module after receiving the state analysis signal.
4. The energy storage method based on the super capacitor as claimed in claim 3, wherein in the second step, the specific process of performing slope analysis on the monitoring line segment includes: marking the monitoring line segments on two sides of the monitoring point corresponding to the overcurrent period as connecting line segments of the overcurrent period, marking the sum of the slopes of the two connecting line segments of the overcurrent period as a dominant value of the overcurrent period, if the dominant value is a negative value or zero, marking the corresponding overcurrent period as a dominant period, and marking the monitoring point corresponding to the dominant period as a dominant point; if the dominant value is a positive value, marking the corresponding overflowing time period as a recessive time period, and marking the monitoring point corresponding to the recessive time period as a recessive point; and marking the ratio of the number of the dominant points to the number of the monitoring points as a significance ratio, acquiring a dominant threshold value through a storage module, comparing the significance ratio with the dominant threshold value, and judging whether the monitoring object has a state problem or not according to a comparison result.
5. The supercapacitor-based energy storage method according to claim 4, wherein the comparison process of the significance ratio with the significance threshold comprises: if the significance ratio is smaller than the significance threshold value, judging that the monitoring object has no state problem, and sending a state qualified signal to the energy storage management platform by the state analysis module; and if the significance ratio is greater than or equal to the significance threshold value, judging that the monitored object has a state problem, and performing depth analysis on the monitored object.
6. The supercapacitor-based energy storage method according to claim 5, wherein the specific process of performing the deep analysis on the monitored object comprises: acquiring the abscissa value of the dominant point, establishing a dominant set, performing variance calculation on the dominant set to obtain a concentration coefficient, acquiring a concentration threshold value through a storage module, and comparing the concentration coefficient with the concentration threshold value: if the concentration coefficient is smaller than the concentration threshold value, judging that the monitored object has energy storage abnormity, sending an energy storage abnormity signal to an energy storage management platform by the state analysis module, and sending the energy storage abnormity signal to a mobile phone terminal of a manager after the energy storage management platform receives the energy storage abnormity signal; and if the concentration coefficient is greater than or equal to the concentration threshold value, sending the dominant time period and the environment analysis signal to the energy storage management platform, and sending the dominant time period and the environment analysis signal to the environment analysis module after the energy storage management platform receives the dominant time period and the environment analysis signal.
7. The supercapacitor-based energy storage method according to claim 6, wherein in step three, the obtaining of the temperature data WD in the dominant period comprises: acquiring an air temperature mean value and a standard temperature range in an explicit time period, marking the mean value of the maximum value and the minimum value of the standard temperature range as a temperature standard value, and marking the absolute value of the difference value of the air temperature mean value and the temperature standard value as temperature data WD;
the acquiring process of the voltage data DY in the dominant period includes: acquiring a voltage mean value and a voltage standard range in an explicit time period, marking an average value of a maximum value and a minimum value of the voltage standard range as a voltage standard value, and marking an absolute value of a difference value of the voltage mean value and the voltage standard value as voltage data DY;
the acquiring process of the humidity data SD of the dominant period comprises the following steps: and acquiring the average value of the air humidity and the standard range of the humidity in the dominant period, marking the average value of the maximum value and the minimum value of the standard range of the humidity as a standard humidity value, and marking the absolute value of the difference value of the average value of the air humidity and the standard humidity value as humidity data SD.
8. The supercapacitor-based energy storage method according to claim 7, wherein in step three, the process of determining the reason why the operation state of the monitored object does not meet the requirement includes: obtaining an environment threshold HJmax through a storage module, and comparing the environment coefficient HJ with the environment threshold HJmax:
if the environment coefficient HJ is smaller than the environment threshold value HJmax, not marking the dominant time period;
if the environment coefficient HJ is greater than or equal to the environment threshold HJmax, marking the corresponding dominant time period as an ambient shadow time period;
analysis of the distribution of ghost periods in the dominant period: if an environment time period exists in the dominant time period and the abscissa value of the corresponding dominant point of the environment time period is the minimum of the abscissa values of all the dominant points, the reason that the running state of the monitored object does not meet the requirement in the monitoring period is judged to be environmental influence, the environment analysis module sends an environment adjusting signal to the energy storage management platform, and the energy storage management platform sends the environment adjusting signal to a mobile phone terminal of a manager after receiving the environment adjusting signal; otherwise, judging that the monitored object has energy storage abnormity, sending an energy storage abnormity signal to the energy storage management platform by the environment analysis module, and sending the energy storage abnormity signal to a mobile phone terminal of a manager after the energy storage management platform receives the energy storage abnormity signal.
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