CN112994058A - Online distributed electric energy storage system based on cloud computing - Google Patents

Online distributed electric energy storage system based on cloud computing Download PDF

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CN112994058A
CN112994058A CN202110197631.7A CN202110197631A CN112994058A CN 112994058 A CN112994058 A CN 112994058A CN 202110197631 A CN202110197631 A CN 202110197631A CN 112994058 A CN112994058 A CN 112994058A
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transmission
data
electric energy
storage
temperature
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CN112994058B (en
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曾小芳
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Shanghai Yuanye New Energy Co Ltd
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Zhongke Intelligent Guangdong Technology Development Co ltd
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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
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • 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
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • 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
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • 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
    • H02J7/0013—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries acting upon several batteries simultaneously or sequentially
    • 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
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)
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Abstract

The invention discloses an online distributed electric energy storage system based on cloud computing, which comprises a charging unit, a conversion receiving module, a monitoring module, an electric energy computing module, a sub-controller, a storage classification module, a sending unit and a storage module, wherein the charging unit is used for charging the electric energy; the charging unit is used for charging the battery and transmitting the electric energy to the conversion receiving module, the conversion receiving module is used for converting the electric energy transmitted by the charging unit into chemical energy, and the monitoring module is used for monitoring the electric energy conversion state in real time.

Description

Online distributed electric energy storage system based on cloud computing
Technical Field
The invention relates to the technical field of electric energy distributed storage, in particular to an online distributed electric energy storage system based on cloud computing.
Background
Electric energy refers to the ability to use electricity to do work in various forms. The electric energy is an economic, practical, clean and easily controlled and converted energy form, and is a special product which is provided by three parties to ensure quality for power users by power generation, power supply and the like by the power department.
The existing distributed electric energy storage system simply controls transmission and storage of electric energy, achieves basic working operation, cannot accurately analyze transmitted electric energy data, and cannot analyze temperature during electric energy transmission, so that a proper storage unit is selected for distributed storage.
Disclosure of Invention
The invention aims to provide an online distributed electric energy storage system based on cloud computing, which solves the problem that the prior art can not accurately analyze the distributed and stored electric energy data by setting an electric energy computing module, calculating a corresponding data mean value according to current data, voltage data, transmission time data, conversion rate data, transmission quantity data and transmission temperature data, calculating a corresponding difference value according to the difference value and the original data, increasing the accuracy of data calculation, increasing the accuracy of data, improving the persuasion of data, saving analysis time, improving the working efficiency, calculating the total storage and transmission quantity of a storage unit by setting a storage classification module, calculating the transmission quantity matched with the storage unit according to the total transmission quantity, and calculating the change of transmission temperature according to the analysis, the most suitable electric quantity is selected for transmission, and a corresponding signal is generated, so that electric energy is converted and stored, the problem of low electric energy storage efficiency in the prior art is solved, the electric energy is prevented from being excessively consumed in the transmission process, the electric energy consumption is reduced, the artificial calculation time is saved, and the working efficiency is improved.
The purpose of the invention can be realized by the following technical scheme: an online distributed electric energy storage system based on cloud computing comprises a charging unit, a conversion receiving module, a monitoring module, an electric energy computing module, a sub-controller, a storage classification module, a sending unit and a storage module;
the charging unit is used for charging the battery and transmitting electric energy to the conversion receiving module, the conversion receiving module is used for converting the electric energy transmitted by the charging unit into chemical energy, and the monitoring module is used for monitoring the electric energy conversion state in real time, automatically acquiring electric energy information and transmitting the electric energy information to the electric energy calculating module;
the electric energy calculation module is used for carrying out electric energy analysis operation on the electric energy information: calculating the mean value data of each data according to the electric energy information, the current data, the voltage data, the transmission time data and the transmission data by the electric energy calculating module, accurately calculating according to the mean value data to obtain a transmission speed mean value, an electric power mean value, a transmission temperature mean value, a power difference value, a speed difference value, a temperature difference value and a conversion rate mean value, and transmitting the transmission speed mean value, the electric power mean value, the transmission temperature mean value, the power difference value, the speed difference value, the temperature difference value and the conversion rate mean value;
the storage classification module stores data of the number of storage units and the size of the storage units, and performs classification storage operation on the data and transmission speed mean value, electric power mean value, temperature mean value, power difference value, speed difference value, temperature difference value and conversion rate mean value: obtaining a continuous transmission signal, a transmission prohibition signal, a storage signal and a prohibition signal according to classified storage operation carried out by a storage classification module, and respectively transmitting the continuous transmission signal, the transmission prohibition signal, the storage signal and the prohibition signal to a sub-controller and a sending unit;
the sub-controller receives the continuous transmission signal, the transmission prohibition signal, the storage signal and the prohibition signal, and then recognizes the continuous transmission signal, the transmission prohibition signal, the storage signal and the prohibition signal, when the storage signal and the prohibition signal are recognized, the sub-controller controls the storage module to store or prohibit the storage according to the sub-controller, and when the continuous transmission signal and the transmission prohibition signal are recognized, the sub-controller controls the classification storage module to perform the classification storage operation again;
the sending unit is used for sending the continuous transmission signal, the transmission prohibition signal, the storage signal and the prohibition signal to the user.
As a further improvement of the invention: the specific operation process of the electric energy analysis operation is as follows:
the method comprises the following steps: obtaining electric energy information, calibrating the magnitude of the internal current of the electric energy information into current data, marking the current data as DLi, i as 1,2,3.. No. n1, obtaining the electric energy information, calibrating the magnitude of the internal voltage of the electric energy information into voltage data, marking the voltage data as DYi, i as 1,2,3.. No. n1, obtaining the electric energy information, calibrating the time length of transmission in the electric energy information into transmission time data, marking the transmission time data as CSi, i as 1,2,3.. No. n1, obtaining the electric energy information, calibrating the conversion ratio of the internal electric energy into chemical energy into conversion rate data, marking the conversion rate data as ZHi, i as 1,2,3.. No. n1, obtaining the electric energy information, calibrating the quantity of the electric energy transmitted in the electric energy information into transmission quantity data, and marking the transmission quantity data as CLi, i as 1,2, n1, acquiring electric energy information, calibrating the temperature during transmission in the electric energy information as transmission temperature data, and marking the transmission temperature data as CWi, i is 1,2,3.. n 1;
step two: current data is acquired and is brought into the calculation:
Figure BDA0002947650890000031
wherein, PDLiThe voltage data is taken as the average of the current data, i.e. the current mean, and is taken into the calculation:
Figure BDA0002947650890000032
wherein, PDYiThe transmission time data is obtained and taken into the calculation as the average value of the voltage data, i.e. the voltage average value:
Figure BDA0002947650890000033
wherein, PCSiThe transmission amount data is obtained and is taken into the calculation formula as the average value of the transmission time data, namely the transmission time average value:
Figure BDA0002947650890000034
wherein, PCLiConversion is obtained as the average of the data of the amount of transmission, i.e. the average of the amount of transmissionData and bring it into the calculation:
Figure BDA0002947650890000041
wherein, PZHiExpressed as the mean of the conversion data, i.e. the mean of the conversion, the transmission temperature data is taken and is taken into the calculation:
Figure BDA0002947650890000042
wherein, PCWiExpressed as the mean of the transmission temperature data, i.e. the transmission temperature mean;
step three: and C, acquiring the current average value and the voltage average value in the step two, and bringing the current average value and the voltage average value into a calculation formula: pAre all made of＝PDLi*PDYiThereby calculating the electric power mean value P of the currentAre all made ofObtaining the average value of the transmission quantity and the average value of the transmission time in the second step, and bringing the average value of the transmission quantity and the average value of the transmission time into a calculation formula
Figure BDA0002947650890000043
Wherein, VConveying applianceExpressing as a transmission speed mean value, and U expressing as transmission consumption, acquiring current data, voltage data, transmission quantity data and transmission time data in the step two, and respectively substituting the current data, the voltage data, the transmission quantity data and the transmission time data into an electric power calculation formula and a transmission speed calculation formula so as to calculate electric power Pi and a transmission speed Vi;
step four: acquiring the electricity transmission power, the transmission speed and the temperature data in the third step, and analyzing the data, specifically:
s1: acquiring transmission power and transmission speed under different temperature data, and calculating the difference value of the transmission power and the transmission speed;
s2: marking the calculated difference as a positive power difference, a negative power difference, a positive speed difference and a negative speed difference;
s3: establishing a rectangular coordinate system, marking the transmission power and the transmission speed corresponding to different temperature data in the rectangular coordinate system, acquiring the highest point of the transmission power and the transmission speed, extracting the corresponding transmission temperature data, and respectively marking the transmission power data, the transmission speed data and the transmission speed data as maximum transmission power data, maximum transmission speed data and optimal transmission temperature data;
step five: and acquiring maximum transmission power data, maximum transmission speed data and optimal transmission temperature data, and performing difference calculation on the maximum transmission power data, the maximum transmission speed data and the optimal transmission temperature data respectively with the transmission power average value, the transmission speed average value and the transmission temperature average value so as to calculate a power difference value, a speed difference value and a temperature difference value.
As a further improvement of the invention: the specific operation process of the classified storage operation is as follows:
k1: calculating the amount consumed by the storage unit to reach saturation according to the average conversion power value and the size data of the storage unit, and calibrating the amount to be required data;
k2: obtaining required data, average transmission speed and speed difference value and bringing them into calculation formula
Figure BDA0002947650890000051
N2, T ═ 1,2,3Preparation ofExpressed as the predicted transmission time, VC expressed as the speed difference, CDl expressed as the required amount of data, u1 expressed as the impact factor of the speed difference, and u1 expressed as 0.5637421;
k3: acquiring a transmission temperature mean value, an electric power mean value, electric power and a temperature difference value, and bringing the transmission temperature mean value, the electric power and the temperature difference value into a calculation formula:
Figure BDA0002947650890000052
wherein, TlTemperature ofThe time consumed by the temperature to rise to the optimal temperature, namely the temperature consumed time data, WCl is represented by a temperature difference value, u2 is represented by an influence factor of the temperature difference value, GCl is represented by a power difference value, u3 is represented by an influence factor of the power difference value, and u2 is 0.657213, and u3 is 0.493281;
k4: bringing the temperature time-consuming data and the predicted transmission time into a difference calculation formula, calculating a difference R1 between the temperature time-consuming data and the predicted transmission time, setting a preset value M, judging that the storage consumption is low when R1 is less than or equal to M, generating a storage signal, and generating a prohibition signal when R1 is greater than M, and performing secondary selection;
k5: and acquiring the number data of the storage signals, comparing the number data with the number of the storage units, judging that the storage units have surplus when the number of the storage signals is less than the number of the storage units, generating a continuous transmission signal, judging that the storage units have no surplus when the number of the storage signals is equal to the number of the storage units, and generating a transmission prohibiting signal.
The invention has the beneficial effects that:
(1) the charging unit charges the battery and transmits electric energy to the conversion receiving module, the conversion receiving module is used for converting the electric energy transmitted by the charging unit into chemical energy, and the monitoring module is used for monitoring the electric energy conversion state in real time, automatically acquiring electric energy information and transmitting the electric energy information to the electric energy calculating module; the electric energy calculation module is used for carrying out electric energy analysis operation on the electric energy information: calculating the mean value data of each data according to the current data, the voltage data, the transmission time data and the transmission data according to the electric energy information by the electric energy calculation module, accurately calculating according to the mean value data, calculating the corresponding data mean value according to the current data, the voltage data, the transmission time data, the conversion rate data, the transmission data and the transmission temperature data by the arrangement of the electric energy calculation module, and calculating the difference value according to the data mean value and the original data, thereby calculating the corresponding difference value, increasing the accuracy of data calculation, increasing the accuracy of data, improving the persuasion of data, saving analysis time and improving the working efficiency;
(2) the storage classification module performs classified storage operation on the data of the number of the storage units and the size of the storage units, and the transmission speed mean value, the electric power mean value, the temperature mean value, the power difference value, the speed difference value, the temperature difference value and the conversion rate mean value: obtaining a continuous transmission signal, a transmission prohibition signal, a storage signal and a prohibition signal according to classified storage operation carried out by a storage classification module, and respectively transmitting the continuous transmission signal, the transmission prohibition signal, the storage signal and the prohibition signal to a sub-controller and a sending unit; the sub-controller receives the continuous transmission signal, the transmission prohibition signal, the storage signal and the prohibition signal, and then recognizes the continuous transmission signal, the transmission prohibition signal, the storage signal and the prohibition signal, when the storage signal and the prohibition signal are recognized, the sub-controller controls the storage module to store or prohibit the storage according to the sub-controller, and when the continuous transmission signal and the transmission prohibition signal are recognized, the sub-controller controls the classification storage module to perform the classification storage operation again; through the setting of the storage classification module, the total storage transmission amount of the storage unit is calculated, the transmission amount matched with the storage unit is calculated according to the total transmission amount, the transmission temperature change is calculated according to the analysis of the transmission amount, the most suitable electric quantity transmission is selected, and the corresponding signal is generated, so that the electric energy is converted and stored, the phenomenon that the electric energy is excessively consumed in the transmission process is avoided, the electric energy consumption is reduced, the artificial calculation time is saved, and the working efficiency is improved.
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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 invention relates to an online distributed electric energy storage system based on cloud computing, which comprises a charging unit, a conversion receiving module, a monitoring module, an electric energy computing module, a sub-controller, a storage classification module, a sending unit and a storage module;
the charging unit is used for charging the battery and transmitting electric energy to the conversion receiving module, the conversion receiving module is used for converting the electric energy transmitted by the charging unit into chemical energy, and the monitoring module is used for monitoring the electric energy conversion state in real time, automatically acquiring electric energy information and transmitting the electric energy information to the electric energy calculating module;
the electric energy calculation module is used for carrying out electric energy analysis operation on the electric energy information, and the specific operation process of the electric energy analysis operation is as follows:
the method comprises the following steps: obtaining electric energy information, calibrating the magnitude of the internal current of the electric energy information into current data, marking the current data as DLi, i as 1,2,3.. No. n1, obtaining the electric energy information, calibrating the magnitude of the internal voltage of the electric energy information into voltage data, marking the voltage data as DYi, i as 1,2,3.. No. n1, obtaining the electric energy information, calibrating the time length of transmission in the electric energy information into transmission time data, marking the transmission time data as CSi, i as 1,2,3.. No. n1, obtaining the electric energy information, calibrating the conversion ratio of the internal electric energy into chemical energy into conversion rate data, marking the conversion rate data as ZHi, i as 1,2,3.. No. n1, obtaining the electric energy information, calibrating the quantity of the electric energy transmitted in the electric energy information into transmission quantity data, and marking the transmission quantity data as CLi, i as 1,2, n1, acquiring electric energy information, calibrating the temperature during transmission in the electric energy information as transmission temperature data, and marking the transmission temperature data as CWi, i is 1,2,3.. n 1;
step two: current data is acquired and is brought into the calculation:
Figure BDA0002947650890000081
wherein, PDLiThe voltage data is taken as the average of the current data, i.e. the current mean, and is taken into the calculation:
Figure BDA0002947650890000082
wherein, PDYiThe transmission time data is obtained and taken into the calculation as the average value of the voltage data, i.e. the voltage average value:
Figure BDA0002947650890000083
wherein, PCSiThe transmission amount data is obtained and is taken into the calculation formula as the average value of the transmission time data, namely the transmission time average value:
Figure BDA0002947650890000084
wherein, PCLiThe conversion data, expressed as the average of the transmission data, i.e. the transmission mean, is obtained and is substituted into the calculation:
Figure BDA0002947650890000085
wherein, PZHiExpressed as the mean of the conversion data, i.e. the mean of the conversion, the transmission temperature data is taken and is taken into the calculation:
Figure BDA0002947650890000086
wherein, PCWiExpressed as the mean of the transmission temperature data, i.e. the transmission temperature mean;
step three: and C, acquiring the current average value and the voltage average value in the step two, and bringing the current average value and the voltage average value into a calculation formula: pAre all made of＝PDLi*PDYiThereby calculating the electric power mean value P of the currentAre all made ofObtaining the average value of the transmission quantity and the average value of the transmission time in the second step, and bringing the average value of the transmission quantity and the average value of the transmission time into a calculation formula
Figure BDA0002947650890000087
Wherein, VConveying applianceExpressing as a transmission speed mean value, and U expressing as transmission consumption, acquiring current data, voltage data, transmission quantity data and transmission time data in the step two, and respectively substituting the current data, the voltage data, the transmission quantity data and the transmission time data into an electric power calculation formula and a transmission speed calculation formula so as to calculate electric power Pi and a transmission speed Vi;
step four: acquiring the electricity transmission power, the transmission speed and the temperature data in the third step, and analyzing the data, specifically:
s1: acquiring transmission power and transmission speed under different temperature data, and calculating the difference value of the transmission power and the transmission speed;
s2: marking the calculated difference as a positive power difference, a negative power difference, a positive speed difference and a negative speed difference;
s3: establishing a rectangular coordinate system, marking the transmission power and the transmission speed corresponding to different temperature data in the rectangular coordinate system, acquiring the highest point of the transmission power and the transmission speed, extracting the corresponding transmission temperature data, and respectively marking the transmission power data, the transmission speed data and the transmission speed data as maximum transmission power data, maximum transmission speed data and optimal transmission temperature data;
step five: acquiring maximum transmission power data, maximum transmission speed data and optimal transmission temperature data, and performing difference calculation on the maximum transmission power data, the maximum transmission speed data and the optimal transmission temperature data respectively with a transmission power average value, a transmission speed average value and a transmission temperature average value so as to calculate a power difference value, a speed difference value and a temperature difference value;
step six: the transmission speed mean value, the electric power mean value, the transmission temperature mean value, the power difference value, the speed difference value, the temperature difference value and the conversion rate mean value are transmitted to a storage classification module through a sub-controller;
the storage classification module is internally stored with data of the number of storage units and the size of the storage units, and performs classification storage operation on the data, the transmission speed mean value, the electric power mean value, the temperature mean value, the power difference value, the speed difference value, the temperature difference value and the conversion rate mean value, wherein the specific operation process of the classification storage operation is as follows:
k1: calculating the amount consumed by the storage unit to reach saturation according to the average conversion power value and the size data of the storage unit, and calibrating the amount to be required data;
k2: obtaining required data, average transmission speed and speed difference value and bringing them into calculation formula
Figure BDA0002947650890000091
N2, T ═ 1,2,3Preparation ofExpressed as the predicted transmission time, VC expressed as the speed difference, CDl expressed as the required amount of data, u1 expressed as the impact factor of the speed difference, and u1 expressed as 0.5637421;
k3: acquiring a transmission temperature mean value, an electric power mean value, electric power and a temperature difference value, and bringing the transmission temperature mean value, the electric power and the temperature difference value into a calculation formula:
Figure BDA0002947650890000101
wherein, TlTemperature ofThe time consumed by the temperature to rise to the optimal temperature, namely the temperature consumed time data, WCl is represented by a temperature difference value, u2 is represented by an influence factor of the temperature difference value, GCl is represented by a power difference value, u3 is represented by an influence factor of the power difference value, and u2 is 0.657213, and u3 is 0.493281;
k4: bringing the temperature time-consuming data and the predicted transmission time into a difference calculation formula, calculating a difference R1 between the temperature time-consuming data and the predicted transmission time, setting a preset value M, judging that the storage consumption is low when R1 is less than or equal to M, generating a storage signal, and generating a prohibition signal when R1 is greater than M, and performing secondary selection;
k5: acquiring the number data of the storage signals, comparing the number data with the number of the storage units, judging that the storage units have surplus when the number of the storage signals is less than the number of the storage units, generating a continuous transmission signal, judging that the storage units have no surplus when the number of the storage signals is equal to the number of the storage units, and generating a transmission prohibiting signal;
k6: respectively transmitting the continuous transmission signal, the transmission prohibition signal, the storage signal and the prohibition signal to the sub-controller and the sending unit;
the sub-controller receives the continuous transmission signal, the transmission prohibition signal, the storage signal and the prohibition signal, and then recognizes the continuous transmission signal, the transmission prohibition signal, the storage signal and the prohibition signal, when the storage signal and the prohibition signal are recognized, the sub-controller controls the storage module to store or prohibit the storage according to the sub-controller, and when the continuous transmission signal and the transmission prohibition signal are recognized, the sub-controller controls the classification storage module to perform the classification storage operation again;
the sending unit is used for sending the continuous transmission signal, the transmission prohibition signal, the storage signal and the prohibition signal to the user.
When the intelligent charging system works, the charging unit charges a battery and transmits electric energy to the conversion receiving module, the conversion receiving module is used for converting the electric energy transmitted by the charging unit into chemical energy, and the monitoring module is used for monitoring the electric energy conversion state in real time, automatically acquiring electric energy information and transmitting the electric energy information to the electric energy calculating module; the electric energy calculation module is used for carrying out electric energy analysis operation on the electric energy information: calculating the mean value data of each data according to the electric energy information, the current data, the voltage data, the transmission time data and the transmission data by the electric energy calculating module, accurately calculating according to the mean value data to obtain a transmission speed mean value, an electric power mean value, a transmission temperature mean value, a power difference value, a speed difference value, a temperature difference value and a conversion rate mean value, and transmitting the transmission speed mean value, the electric power mean value, the transmission temperature mean value, the power difference value, the speed difference value, the temperature difference value and the conversion rate mean value; the storage classification module stores the data of the number of the storage units and the size of the storage units, and performs classification storage operation on the data, the transmission speed mean value, the electric power mean value, the temperature mean value, the power difference value, the speed difference value, the temperature difference value and the conversion rate mean value: obtaining a continuous transmission signal, a transmission prohibition signal, a storage signal and a prohibition signal according to classified storage operation carried out by a storage classification module, and respectively transmitting the continuous transmission signal, the transmission prohibition signal, the storage signal and the prohibition signal to a sub-controller and a sending unit; the sub-controller receives the continuous transmission signal, the transmission prohibition signal, the storage signal and the prohibition signal, and then recognizes the continuous transmission signal, the transmission prohibition signal, the storage signal and the prohibition signal, when the storage signal and the prohibition signal are recognized, the sub-controller controls the storage module to store or prohibit the storage according to the sub-controller, and when the continuous transmission signal and the transmission prohibition signal are recognized, the sub-controller controls the classification storage module to perform the classification storage operation again; the sending unit is used for sending the continuous transmission signal, the transmission prohibition signal, the storage signal and the prohibition signal to a user.
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 (3)

1. An online distributed electric energy storage system based on cloud computing is characterized by comprising a charging unit, a conversion receiving module, a monitoring module, an electric energy computing module, a sub-controller, a storage classification module, a sending unit and a storage module;
the charging unit is used for charging the battery and transmitting electric energy to the conversion receiving module, the conversion receiving module is used for converting the electric energy transmitted by the charging unit into chemical energy, and the monitoring module is used for monitoring the electric energy conversion state in real time, automatically acquiring electric energy information and transmitting the electric energy information to the electric energy calculating module;
the electric energy calculation module is used for carrying out electric energy analysis operation on the electric energy information: calculating the mean value data of each data according to the electric energy information, the current data, the voltage data, the transmission time data and the transmission data by the electric energy calculating module, accurately calculating according to the mean value data to obtain a transmission speed mean value, an electric power mean value, a transmission temperature mean value, a power difference value, a speed difference value, a temperature difference value and a conversion rate mean value, and transmitting the transmission speed mean value, the electric power mean value, the transmission temperature mean value, the power difference value, the speed difference value, the temperature difference value and the conversion rate mean value;
the storage classification module stores data of the number of storage units and the size of the storage units, and performs classification storage operation on the data and transmission speed mean value, electric power mean value, temperature mean value, power difference value, speed difference value, temperature difference value and conversion rate mean value: obtaining a continuous transmission signal, a transmission prohibition signal, a storage signal and a prohibition signal according to classified storage operation carried out by a storage classification module, and respectively transmitting the continuous transmission signal, the transmission prohibition signal, the storage signal and the prohibition signal to a sub-controller and a sending unit;
the sub-controller receives the continuous transmission signal, the transmission prohibition signal, the storage signal and the prohibition signal, and then recognizes the continuous transmission signal, the transmission prohibition signal, the storage signal and the prohibition signal, when the storage signal and the prohibition signal are recognized, the sub-controller controls the storage module to store or prohibit the storage according to the sub-controller, and when the continuous transmission signal and the transmission prohibition signal are recognized, the sub-controller controls the classification storage module to perform the classification storage operation again;
the sending unit is used for sending the continuous transmission signal, the transmission prohibition signal, the storage signal and the prohibition signal to the user.
2. The on-line distributed electric energy storage system based on cloud computing according to claim 1, wherein the specific operation process of the electric energy analysis operation is as follows:
the method comprises the following steps: obtaining electric energy information, calibrating the magnitude of the internal current of the electric energy information into current data, marking the current data as DLi, i as 1,2,3.. No. n1, obtaining the electric energy information, calibrating the magnitude of the internal voltage of the electric energy information into voltage data, marking the voltage data as DYi, i as 1,2,3.. No. n1, obtaining the electric energy information, calibrating the time length of transmission in the electric energy information into transmission time data, marking the transmission time data as CSi, i as 1,2,3.. No. n1, obtaining the electric energy information, calibrating the conversion ratio of the internal electric energy into chemical energy into conversion rate data, marking the conversion rate data as ZHi, i as 1,2,3.. No. n1, obtaining the electric energy information, calibrating the quantity of the electric energy transmitted in the electric energy information into transmission quantity data, and marking the transmission quantity data as CLi, i as 1,2, n1, acquiring electric energy information, calibrating the temperature during transmission in the electric energy information as transmission temperature data, and marking the transmission temperature data as CWi, i is 1,2,3.. n 1;
step two: current data is acquired and is brought into the calculation:
Figure FDA0002947650880000021
wherein, PDLiThe voltage data is taken as the average of the current data, i.e. the current mean, and is taken into the calculation:
Figure FDA0002947650880000022
wherein, PDYiThe transmission time data is obtained and taken into the calculation as the average value of the voltage data, i.e. the voltage average value:
Figure FDA0002947650880000023
wherein, PCSiThe transmission amount data is obtained and is taken into the calculation formula as the average value of the transmission time data, namely the transmission time average value:
Figure FDA0002947650880000024
wherein, PCLiThe conversion data, expressed as the average of the transmission data, i.e. the transmission mean, is obtained and is substituted into the calculation:
Figure FDA0002947650880000025
wherein, PZHiExpressed as the mean of the conversion data, i.e. the mean of the conversion, the transmission temperature data is taken and is taken into the calculation:
Figure FDA0002947650880000031
wherein, PCWiExpressed as the mean of the transmission temperature data, i.e. the transmission temperature mean;
step three: and C, acquiring the current average value and the voltage average value in the step two, and bringing the current average value and the voltage average value into a calculation formula: pAre all made of＝PDLi*PDYiThereby calculating the electric power mean value P of the currentAre all made ofObtaining the average value of the transmission quantity and the average value of the transmission time in the second step, and bringing the average value of the transmission quantity and the average value of the transmission time into a calculation formula
Figure FDA0002947650880000032
Wherein, VConveying applianceExpressing as a transmission speed mean value, and U expressing as transmission consumption, acquiring current data, voltage data, transmission quantity data and transmission time data in the step two, and respectively substituting the current data, the voltage data, the transmission quantity data and the transmission time data into an electric power calculation formula and a transmission speed calculation formula so as to calculate electric power Pi and a transmission speed Vi;
step four: acquiring the electricity transmission power, the transmission speed and the temperature data in the third step, and analyzing the data, specifically:
s1: acquiring transmission power and transmission speed under different temperature data, and calculating the difference value of the transmission power and the transmission speed;
s2: marking the calculated difference as a positive power difference, a negative power difference, a positive speed difference and a negative speed difference;
s3: establishing a rectangular coordinate system, marking the transmission power and the transmission speed corresponding to different temperature data in the rectangular coordinate system, acquiring the highest point of the transmission power and the transmission speed, extracting the corresponding transmission temperature data, and respectively marking the transmission power data, the transmission speed data and the transmission speed data as maximum transmission power data, maximum transmission speed data and optimal transmission temperature data;
step five: and acquiring maximum transmission power data, maximum transmission speed data and optimal transmission temperature data, and performing difference calculation on the maximum transmission power data, the maximum transmission speed data and the optimal transmission temperature data respectively with the transmission power average value, the transmission speed average value and the transmission temperature average value so as to calculate a power difference value, a speed difference value and a temperature difference value.
3. The cloud computing-based online distributed electric energy storage system according to claim 1, wherein the specific operation process of the classified storage operation is as follows:
k1: calculating the amount consumed by the storage unit to reach saturation according to the average conversion power value and the size data of the storage unit, and calibrating the amount to be required data;
k2: obtaining required data, average transmission speed and speed difference value and bringing them into calculation formula
Figure FDA0002947650880000041
N2, T ═ 1,2,3Preparation ofExpressed as the predicted transmission time, VC expressed as the speed difference, CDl expressed as the required amount of data, u1 expressed as the impact factor of the speed difference, and u1 expressed as 0.5637421;
k3: acquiring a transmission temperature mean value, an electric power mean value, electric power and a temperature difference value, and bringing the transmission temperature mean value, the electric power and the temperature difference value into a calculation formula:
Figure FDA0002947650880000042
wherein, TlTemperature ofThe time consumed by the temperature to rise to the optimal temperature, namely the temperature consumed time data, WCl is represented by a temperature difference value, u2 is represented by an influence factor of the temperature difference value, GCl is represented by a power difference value, u3 is represented by an influence factor of the power difference value, and u2 is 0.657213, and u3 is 0.493281;
k4: bringing the temperature time-consuming data and the predicted transmission time into a difference calculation formula, calculating a difference R1 between the temperature time-consuming data and the predicted transmission time, setting a preset value M, judging that the storage consumption is low when R1 is less than or equal to M, generating a storage signal, and generating a prohibition signal when R1 is greater than M, and performing secondary selection;
k5: and acquiring the number data of the storage signals, comparing the number data with the number of the storage units, judging that the storage units have surplus when the number of the storage signals is less than the number of the storage units, generating a continuous transmission signal, judging that the storage units have no surplus when the number of the storage signals is equal to the number of the storage units, and generating a transmission prohibiting signal.
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