CN117048408A - Intelligent management system for bidirectional charging of electric automobile - Google Patents
Intelligent management system for bidirectional charging of electric automobile Download PDFInfo
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- CN117048408A CN117048408A CN202310997442.7A CN202310997442A CN117048408A CN 117048408 A CN117048408 A CN 117048408A CN 202310997442 A CN202310997442 A CN 202310997442A CN 117048408 A CN117048408 A CN 117048408A
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- 230000002457 bidirectional effect Effects 0.000 title claims abstract description 32
- 230000006854 communication Effects 0.000 claims abstract description 34
- 238000004891 communication Methods 0.000 claims abstract description 34
- 238000000034 method Methods 0.000 claims description 17
- 230000008569 process Effects 0.000 claims description 17
- 238000012216 screening Methods 0.000 claims description 17
- 238000013528 artificial neural network Methods 0.000 claims description 15
- 238000012937 correction Methods 0.000 claims description 15
- 238000004088 simulation Methods 0.000 claims description 15
- 125000004122 cyclic group Chemical group 0.000 claims description 14
- 230000010354 integration Effects 0.000 claims description 11
- 230000007246 mechanism Effects 0.000 claims description 8
- 238000007781 pre-processing Methods 0.000 claims description 7
- 230000003993 interaction Effects 0.000 claims description 6
- 238000012163 sequencing technique Methods 0.000 claims description 6
- 230000007175 bidirectional communication Effects 0.000 claims description 5
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- 230000007613 environmental effect Effects 0.000 description 1
- 239000000295 fuel oil Substances 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/62—Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/30—Constructional details of charging stations
- B60L53/31—Charging columns specially adapted for electric vehicles
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/66—Data transfer between charging stations and vehicles
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
- G06F16/9554—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL] by using bar codes
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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
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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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
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors 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
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
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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
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
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- General Physics & Mathematics (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention provides an intelligent management system for bidirectional charging of an electric automobile, which comprises: respectively acquiring the corresponding working state of each intelligent charging pile, extracting the target intelligent charging pile in the target working state, carrying out two-way communication with the corresponding charging trolley, respectively acquiring the charging data corresponding to each charging trolley and the working data corresponding to the target intelligent charging pile, analyzing the charging data to obtain the charging information of the corresponding charging trolley, analyzing the working data to obtain the working information of the corresponding target intelligent charging pile, the corresponding charging modes are matched for the corresponding charging trolley, when the power supply modes corresponding to the working information are different from the charging modes, the power supply modes of the target intelligent charging pile are adjusted, the monitored information of the electric vehicle is uploaded to the control module, and then the charging modes are adjusted by receiving the regulation and control instruction of the control module, so that the intelligent charging pile can adjust the charging modes according to requirements, the intelligent charging pile is suitable for various vehicle types, and the utilization rate of the intelligent charging pile is improved.
Description
Technical Field
The invention relates to the technical field of vehicle charging management, in particular to an intelligent management system for bidirectional charging of an electric automobile.
Background
The electric power of the automobile is a trend, the dependence on petroleum energy can be reduced, the environment-friendly trip is realized, the automobile is supported by great government force, in the near future, with the continuous progress and perfection of power battery technology, automobile lightweight design, rapid charging network and other hardware and technology, the electric automobile is greatly popularized, the electric automobile takes electric power as driving force, and compared with the automobile powered by fuel oil, the automobile has natural advantages in the aspect of environmental protection. However, the development of electric vehicles still has great defects, and the most important point is that the types of electric vehicles are many, different types of electric vehicles have some differences, the charging modes applicable to different electric vehicles in the charging process are not necessarily the same, and the charging modes applicable to different electric vehicles in different time periods in the charging process are not necessarily the same, so that some charging piles cannot be applicable to all electric vehicles.
Therefore, the invention provides the bidirectional charging intelligent management system for the electric automobile.
Disclosure of Invention
According to the bidirectional charging intelligent management system for the electric automobile, the monitored information of the electric automobile is uploaded to the control module, and then the regulation and control instruction of the control module is received to adjust the charging mode, so that the intelligent charging pile can adjust the charging mode according to requirements, the bidirectional charging intelligent management system is suitable for various vehicle types, and the utilization rate of the intelligent charging pile is improved.
The invention provides an intelligent management system for bidirectional charging of an electric automobile, which comprises the following components:
the preprocessing module is used for respectively acquiring the corresponding working state of each intelligent charging pile, extracting a target intelligent charging pile in a target working state and carrying out two-way communication on the target intelligent charging pile and a corresponding charging trolley;
the acquisition module is used for respectively acquiring charging data corresponding to each charging trolley and working data corresponding to the target intelligent charging pile;
the analysis module is used for analyzing the charging data to obtain charging information of a corresponding charging trolley, and analyzing the working data to obtain working information of a corresponding target intelligent charging pile;
and the control module is used for matching corresponding charging modes for the corresponding charging electric vehicles according to the charging information, and adjusting the power supply mode of the target intelligent charging pile when the power supply mode corresponding to the working information is different from the charging mode.
In one embodiment of the present invention, in one possible implementation,
further comprises:
and the network module is used for acquiring public networks within a preset range and respectively connecting each intelligent charging pile into the public networks.
In one embodiment of the present invention, in one possible implementation,
the preprocessing module comprises:
the acquisition unit is used for acquiring the corresponding working state of each intelligent charging pile;
the screening unit is used for establishing a screening mechanism by utilizing a preset target working state, and screening each working state by utilizing the screening mechanism to obtain the target working state;
the positioning unit is used for acquiring a target intelligent charging pile corresponding to the target working state and acquiring a communication network to which the target intelligent charging pile is connected;
and the communication unit is used for establishing a communication local area network based on the communication network, and respectively connecting the target intelligent charging pile and the charging trolley connected with the target intelligent charging pile into the communication local area network for bidirectional communication.
In one embodiment of the present invention, in one possible implementation,
the acquisition module comprises:
the first acquisition unit is used for respectively acquiring charging data corresponding to each charging trolley through the communication local area network;
the second acquisition unit is used for respectively acquiring working data corresponding to each target intelligent charging pile through the communication local area network;
the data integration unit is used for regarding the charging trolley with the two-way communication relationship and the target intelligent charging pile as a working group, acquiring charging data and working data corresponding to each working group, and establishing a data integration list;
and the data transmission unit is used for respectively transmitting the data integration list to the analysis module and the appointed terminal for display.
In one embodiment of the present invention, in one possible implementation,
the analysis module comprises:
the first analysis unit is used for acquiring and analyzing the charging data to obtain charging starting time of a corresponding charging trolley, acquiring time difference between the current charging time and the charging starting time, and establishing a charging time axis of the charging trolley according to the time difference;
the second analysis unit is used for acquiring and analyzing the working data to obtain corresponding output current and voltage information of the target intelligent charging pile at different charging moments, analyzing the charging data to obtain corresponding input current and voltage information of the charging trolley at different charging moments, and inputting the corresponding output current and voltage information at different moments and the corresponding input current and voltage information at different charging moments into the charging time shaft to obtain an output-input information comparison shaft;
the third analysis unit is used for respectively acquiring corresponding output current voltage information and input current voltage information at each charging time according to the output-input information comparison shaft, establishing a first output-input information group to obtain a corresponding first current difference and a first voltage difference, and judging whether the first current difference and the first voltage difference are in a preset error range or not;
and the fourth analysis unit is used for acquiring corresponding output current voltage information and input current voltage information at different charging moments in a dislocation way when the first current difference or the first voltage difference is not in the preset error range, establishing second output-input information groups to obtain second current differences and second voltage differences corresponding to each second output-input information group, respectively traversing the first current differences and the second current differences by utilizing the preset error range, extracting a target second output-input information group falling in the preset error range according to the traversing result, acquiring the dislocation amount corresponding to the target second output-input information group, and analyzing the corrected output-input information comparison shaft to obtain the working information of the target intelligent charging pile and the charging information of the corresponding charging trolley.
In one embodiment of the present invention, in one possible implementation,
the control module comprises:
the first control unit is used for analyzing the charging information to obtain charging amount information corresponding to a percentage of the electric quantity of the corresponding charging electric car in the charging process, predicting the maximum battery capacity of the corresponding charging electric car according to the charging amount information, obtaining initial charging information of the corresponding charging electric car and combining the charging information to obtain the current electric quantity percentage of the corresponding charging electric car, and determining the charging mode of the corresponding charging electric car according to the current electric quantity percentage and the maximum battery capacity;
the second control unit is used for analyzing the working information to obtain a power supply mode corresponding to the intelligent charging pile corresponding to the target, establishing a virtual output model according to the power supply mode, and establishing a virtual input model according to the charging mode;
the third control unit is used for connecting the virtual output model with the virtual input model and performing supply-charge simulation to obtain a simulation result, and obtaining the compatibility degree between the power supply mode and the charge mode according to the simulation result;
and the fourth control unit is used for analyzing the simulation result to obtain difference information between the virtual output model and the virtual input model when the compatibility degree between the power supply mode and the charging mode is out of a preset compatibility degree range, correcting the virtual output model based on the difference information to obtain a corresponding correction model, correcting the power supply mode according to model characteristics of the correction model to obtain a correction mode, and adjusting the power supply mode of the target intelligent charging pile to the correction mode.
In one embodiment of the present invention, in one possible implementation,
the fourth analysis unit includes:
the first analysis subunit is configured to establish an output circulation label for each piece of output current and voltage information included in the output-input information comparison shaft when the first current difference or the first voltage difference is not within a preset error range, and establish an input circulation label for each piece of input current and voltage information included in the output-input information comparison shaft, so as to obtain a labeled information shaft;
the second analysis subunit is used for inputting the marked information shaft into a preset cyclic neural network, acquiring an output storage position of each piece of output current and voltage information in the marked information shaft in the preset cyclic neural network, sequencing the output current and voltage information according to the order from high to low of the output storage position to obtain an output information sequence, acquiring an input storage position of each piece of input current and voltage information in the marked information shaft, and sequencing the input current and voltage information according to the order from high to low of the input storage position to obtain an input information sequence;
the third analysis subunit is used for acquiring first output current and voltage information positioned at the first position in the output information sequence and second input current and voltage information positioned at the second position in the input information sequence in the preset cyclic neural network;
establishing a first matching group according to a first output circulation tag corresponding to the first output current voltage information and a second input circulation tag corresponding to the second input current voltage information, acquiring second output current voltage information at a second position in the output information sequence and third input current voltage information at a third position in the input information sequence, and establishing a second matching group according to the second output circulation tag corresponding to the second output current voltage information and a third input circulation tag corresponding to the third input current voltage information;
circularly acquiring a plurality of matching groups between a plurality of pieces of output current voltage information and input current voltage information, acquiring all the matching groups, and establishing a second output-input information group;
and the fourth analysis subunit is used for respectively acquiring the first output current voltage information and different input current voltage information in the preset cyclic neural network and establishing a plurality of second output-input information groups.
In one embodiment of the present invention, in one possible implementation,
further comprises:
and when the compatibility degree between the power supply mode and the charging mode is within a preset compatibility degree range, determining that the charging mode and the power supply mode are compatible with each other, and controlling the target intelligent charging pile to continuously execute the power supply mode.
In one embodiment of the present invention, in one possible implementation,
further comprises:
the interaction module is used for generating a feedback two-dimensional code when the charging trolley is connected with the target intelligent charging pile for charging;
when the vehicle owner scans the feedback two-dimension code, a feedback report corresponding to the charging trolley is established, and the feedback report is transmitted to the vehicle owner terminal for display.
In one embodiment of the present invention, in one possible implementation,
further comprises:
the feedback module is used for acquiring and analyzing the charging information to obtain the current electric quantity of the corresponding charging trolley;
according to the power supply mode, the current electric quantity is combined to estimate the time length required by the full charge of the corresponding charging trolley, and a feedback report is established;
and transmitting the feedback report to a vehicle owner terminal for display.
The invention has the beneficial effects that: in order to manage the charging pile, provide high-quality charging service to the electric car that charges, the operating condition of each intelligent charging pile is gathered at any time, confirm the intelligent charging pile of each target that is working according to operating condition, for carrying out data interaction, carry out two-way communication with the intelligent charging pile of target and the electric car that charges that corresponds, thereby can gather the data that charges of electric car and the data that charges of the intelligent charging pile of target, obtain corresponding charging information and operating information through analyzing two sets of data, then confirm the charging mode that charges the electric car and be suitable for according to the charging information, adjust the power supply mode of the intelligent charging pile of target under the necessity, thereby be suitable for the needs of electric car that charges, can let the power supply mode of adjusting the intelligent charging pile of target and the required charging mode of electric car mutually match, not only can improve charging efficiency, can also protect electric pile and electric car that charges.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a schematic diagram of a bidirectional charging intelligent management system for an electric vehicle according to an embodiment of the present invention;
fig. 2 is a schematic diagram illustrating the composition of a preprocessing module of an intelligent management system for bidirectional charging of an electric vehicle according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an acquisition module of a bidirectional charging intelligent management system for an electric vehicle according to an embodiment of the present invention;
fig. 4 is a schematic diagram illustrating an analysis module composition of an intelligent management system for bidirectional charging of an electric vehicle according to an embodiment of the present invention;
fig. 5 is a schematic diagram illustrating a control module composition of an intelligent management system for bidirectional charging of an electric vehicle according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Example 1
The embodiment provides an intelligent management system for bidirectional charging of an electric automobile, as shown in fig. 1, including:
the preprocessing module is used for respectively acquiring the corresponding working state of each intelligent charging pile, extracting a target intelligent charging pile in a target working state and carrying out two-way communication on the target intelligent charging pile and a corresponding charging trolley;
the acquisition module is used for respectively acquiring charging data corresponding to each charging trolley and working data corresponding to the target intelligent charging pile;
the analysis module is used for analyzing the charging data to obtain charging information of a corresponding charging trolley, and analyzing the working data to obtain working information of a corresponding target intelligent charging pile;
and the control module is used for matching corresponding charging modes for the corresponding charging electric vehicles according to the charging information, and adjusting the power supply mode of the target intelligent charging pile when the power supply mode corresponding to the working information is different from the charging mode.
In this example, the operating state of the intelligent charging stake includes: three types of charging, standby without charging and fault pause use;
in this example, a target smart charge stake charges a charge trolley;
in this example, the charging information includes all information generated in the process from the start of charging to the end of charging of the electric charge car;
in this example, the working information represents all information generated in the process from the start of the work to the end of the work of the target intelligent charging pile;
in this example, the control module may be an upper computer.
The working principle of the technical scheme has the beneficial effects that: in order to manage the charging pile, provide high-quality charging service to the electric car that charges, the operating condition of each intelligent charging pile is gathered at any time, confirm the intelligent charging pile of each target that is working according to operating condition, for carrying out data interaction, carry out two-way communication with the intelligent charging pile of target and the electric car that charges that corresponds, thereby can gather the data that charges of electric car and the data that charges of the intelligent charging pile of target, obtain corresponding charging information and operating information through analyzing two sets of data, then confirm the charging mode that charges the electric car and be suitable for according to the charging information, adjust the power supply mode of the intelligent charging pile of target under the necessity, thereby be suitable for the needs of electric car that charges, can let the power supply mode of adjusting the intelligent charging pile of target and the required charging mode of electric car mutually match, not only can improve charging efficiency, can also protect electric pile and electric car that charges.
Example 2
On the basis of embodiment 1, the bidirectional charging intelligent management system for the electric automobile further comprises:
and the network module is used for acquiring public networks within a preset range and respectively connecting each intelligent charging pile into the public networks.
The working principle of the technical scheme has the beneficial effects that: the intelligent charging piles are all connected into the public network through the network module, so that the follow-up bidirectional communication work is facilitated.
Example 3
On the basis of embodiment 1, the bidirectional charging intelligent management system for an electric automobile, as shown in fig. 2, the preprocessing module includes:
the acquisition unit is used for acquiring the corresponding working state of each intelligent charging pile;
the screening unit is used for establishing a screening mechanism by utilizing a preset target working state, and screening each working state by utilizing the screening mechanism to obtain the target working state;
the positioning unit is used for acquiring a target intelligent charging pile corresponding to the target working state and acquiring a communication network to which the target intelligent charging pile is connected;
and the communication unit is used for establishing a communication local area network based on the communication network, and respectively connecting the target intelligent charging pile and the charging trolley connected with the target intelligent charging pile into the communication local area network for bidirectional communication.
In the example, the preset target working state indicates that the intelligent charging pile is in a working state;
in this example, the process of establishing the screening mechanism includes: acquiring state characteristics corresponding to a preset target working state, establishing corresponding screening comparison samples according to the state characteristics, acquiring all the screening comparison samples, and establishing a screening mechanism by combining a preset comparison mode;
in this example, the communication network may be a public network or a local area network;
in this example, the communication lan represents a network that includes only the target intelligent charging pile and the charging trolley for communication;
in this example, the bi-directional communication means that the target smart charge pile can communicate to the charge trolley and the charge trolley can communicate to the target smart charge pile.
The working principle of the technical scheme has the beneficial effects that: in order to determine which charging pile is in a charging state, the working state of the intelligent charging pile is collected, the target intelligent charging pile which is in charging work is determined through screening, and then a communication local area network is established between the target intelligent charging pile and the charging trolley bus, so that the follow-up data collection is facilitated.
Example 4
On the basis of embodiment 1, the bidirectional charging intelligent management system for an electric automobile, as shown in fig. 3, the collecting module includes:
the first acquisition unit is used for respectively acquiring charging data corresponding to each charging trolley through the communication local area network;
the second acquisition unit is used for respectively acquiring working data corresponding to each target intelligent charging pile through the communication local area network;
the data integration unit is used for regarding the charging trolley with the two-way communication relationship and the target intelligent charging pile as a working group, acquiring charging data and working data corresponding to each working group, and establishing a data integration list;
and the data transmission unit is used for respectively transmitting the data integration list to the analysis module and the appointed terminal for display.
In this example, the designated terminal may be a mobile phone or a designated display screen of the relevant person.
The working principle of the technical scheme has the beneficial effects that: in order to ensure effective transmission of the collected data, the charging data of the charging trolley and the working data of the target intelligent charging pile are collected through the local area network, then the two groups of data are paired, a data integration list is established, and finally the data integration list is respectively transmitted to the analysis module and the designated terminal, so that data loss can be avoided, errors caused by data disorder can be avoided, and the efficiency of subsequent charging management is improved.
Example 5
On the basis of embodiment 1, the bidirectional charging intelligent management system for an electric automobile, as shown in fig. 4, the analysis module includes:
the first analysis unit is used for acquiring and analyzing the charging data to obtain charging starting time of a corresponding charging trolley, acquiring time difference between the current charging time and the charging starting time, and establishing a charging time axis of the charging trolley according to the time difference;
the second analysis unit is used for acquiring and analyzing the working data to obtain corresponding output current and voltage information of the target intelligent charging pile at different charging moments, analyzing the charging data to obtain corresponding input current and voltage information of the charging trolley at different charging moments, and inputting the corresponding output current and voltage information at different moments and the corresponding input current and voltage information at different charging moments into the charging time shaft to obtain an output-input information comparison shaft;
the third analysis unit is used for respectively acquiring corresponding output current voltage information and input current voltage information at each charging time according to the output-input information comparison shaft, establishing a first output-input information group to obtain a corresponding first current difference and a first voltage difference, and judging whether the first current difference and the first voltage difference are in a preset error range or not;
and the fourth analysis unit is used for acquiring corresponding output current voltage information and input current voltage information at different charging moments in a dislocation way when the first current difference or the first voltage difference is not in the preset error range, establishing second output-input information groups to obtain second current difference and second voltage difference corresponding to each second output-input information group, respectively traversing the first current difference and the second current difference by utilizing the preset error range, extracting a target second output-input information group falling in the preset error range according to the traversing result, acquiring dislocation quantity corresponding to the target second output-input information group, correcting the output-input information comparison shaft according to the dislocation quantity, and analyzing the corrected output-input information comparison shaft to obtain working information of the target intelligent charging pile and charging information of a corresponding charging trolley.
In this example, the charging time axis represents an axis having a charging start time as an axis start point, a current charging time as an axis end point, and a time difference as a length;
in this example, the different charging moments may be moments every 30S;
in the example, the output current and voltage information represents the change information of the output current and the output voltage of the target intelligent charging pile at different moments in the execution process;
in this example, the input current voltage information represents the change information of the input current and the input voltage of the charging trolley at different moments in the charging process;
in this example, the output-input information comparison axis represents an axis established by matching and comparing the output information of the target intelligent charging pile at different moments with the input information of the charging trolley at corresponding moments in time sequence;
in this example, the first output-input information group represents the output information of the target intelligent charging pile and the charging trolley input information at the same time;
in this example, the first current difference represents the difference between the output current and the input current at the same time;
in this example, the first voltage difference represents a difference between the output voltage and the input voltage at the same time;
in this example, the preset error range is that the current is within + -2A and the voltage is within + -2V;
in this example, the misalignment amount indicates a time difference between times at which the output current voltage and the input current voltage respectively correspond in the target second output-input information group at the time of misalignment acquisition.
The working principle of the technical scheme has the beneficial effects that: because the charging process is carried out due to the property of a charging circuit, time delay exists in the charging process, in order to avoid the influence of the time delay on the management process, firstly, a charging time axis is established according to the charging starting time and the current time of a charging electric car, input current voltage information of the charging electric car at different times is obtained, then, working data is obtained and analyzed, output voltage information of a target intelligent charging pile at different times is obtained, the output current voltage information and the input current voltage information are input into the established charging time axis, an output-input information comparison axis is obtained, then, the consistency of the output current voltage information and the input current voltage information at the same charging time is compared, whether the time delay exists between the target intelligent charging pile and the charging electric car is determined, a plurality of second output-input information sets are acquired in a staggered acquisition mode under the condition of the time delay, then, the target second output-input information sets in a preset error range are acquired or are obtained, the output-input information comparison axis is corrected according to the corresponding misplacement amount of the target second output-input information sets, accordingly, the data of the target intelligent charging pile at the time of the charging process and the charging process can be eliminated, and the data corresponding to the time delay of the charging information at the charging pile at the time of the charging process is improved.
Example 6
On the basis of embodiment 1, the bidirectional charging intelligent management system for an electric automobile, as shown in fig. 5, the control module includes:
the first control unit is used for analyzing the charging information to obtain charging amount information corresponding to a percentage of the electric quantity of the corresponding charging electric car in the charging process, predicting the maximum battery capacity of the corresponding charging electric car according to the charging amount information, obtaining initial charging information of the corresponding charging electric car and combining the charging information to obtain the current electric quantity percentage of the corresponding charging electric car, and determining the charging mode of the corresponding charging electric car according to the current electric quantity percentage and the maximum battery capacity;
the second control unit is used for analyzing the working information to obtain a power supply mode corresponding to the intelligent charging pile corresponding to the target, establishing a virtual output model according to the power supply mode, and establishing a virtual input model according to the charging mode;
the third control unit is used for connecting the virtual output model with the virtual input model and performing supply-charge simulation to obtain a simulation result, and obtaining the compatibility degree between the power supply mode and the charge mode according to the simulation result;
and the fourth control unit is used for analyzing the simulation result to obtain difference information between the virtual output model and the virtual input model when the compatibility degree between the power supply mode and the charging mode is out of a preset compatibility degree range, correcting the virtual output model based on the difference information to obtain a corresponding correction model, correcting the power supply mode according to model characteristics of the correction model to obtain a correction mode, and adjusting the power supply mode of the target intelligent charging pile to the correction mode.
In this example, the maximum battery capacity represents the maximum electric energy that the battery of the charging electric car can store, corresponding to the electric energy;
in this example, the charging mode indicates a charging mode applicable to the charging trolley at the current time;
in the example, the power supply mode represents the working mode of the target intelligent charging pile at the current moment;
in this example, the power supply model corresponds to the virtual output model, and the charging model corresponds to the virtual input model;
in this example, the supply-charge simulation means inputting the virtual current voltage generated by the virtual output model into the virtual input model, simulating the supply and charge process;
in this example, the difference information represents the difference point between the virtual output model and the virtual input model,
in this example, the correction mode is a power mode;
in this example, the model features represent features presented by the rework model.
The working principle of the technical scheme has the beneficial effects that: in order to enable the target charging pile to cooperate with the charging work of the charging trolley, the maximum battery capacity of the charging trolley and the current electric quantity percentage of the charging battery are determined according to charging information, so that a charging mode required by the charging trolley can be determined, then a power supply mode of the target intelligent charging pile is determined according to working information, whether the charging mode is matched with the power supply mode or not is further analyzed, a virtual output model and a virtual input model are established according to the charging mode and the power supply mode, then the two models are connected for power supply charging simulation, and accordingly the output model can be corrected according to a simulation result, and the target intelligent charging pile is controlled to work according to the correction mode.
Example 7
On the basis of embodiment 5, the bidirectional charging intelligent management system for an electric automobile, the fourth analysis unit includes:
the first analysis subunit is configured to establish an output circulation label for each piece of output current and voltage information included in the output-input information comparison shaft when the first current difference or the first voltage difference is not within a preset error range, and establish an input circulation label for each piece of input current and voltage information included in the output-input information comparison shaft, so as to obtain a labeled information shaft;
the second analysis subunit is used for inputting the marked information shaft into a preset cyclic neural network, acquiring an output storage position of each piece of output current and voltage information in the marked information shaft in the preset cyclic neural network, sequencing the output current and voltage information according to the order from high to low of the output storage position to obtain an output information sequence, acquiring an input storage position of each piece of input current and voltage information in the marked information shaft, and sequencing the input current and voltage information according to the order from high to low of the input storage position to obtain an input information sequence;
the third analysis subunit is used for acquiring first output current and voltage information positioned at the first position in the output information sequence and second input current and voltage information positioned at the second position in the input information sequence in the preset cyclic neural network;
establishing a first matching group according to a first output circulation tag corresponding to the first output current voltage information and a second input circulation tag corresponding to the second input current voltage information, acquiring second output current voltage information at a second position in the output information sequence and third input current voltage information at a third position in the input information sequence, and establishing a second matching group according to the second output circulation tag corresponding to the second output current voltage information and a third input circulation tag corresponding to the third input current voltage information;
circularly acquiring a plurality of matching groups between a plurality of pieces of output current voltage information and input current voltage information, acquiring all the matching groups, and establishing a second output-input information group;
and the fourth analysis subunit is used for respectively acquiring the first output current voltage information and different input current voltage information in the preset cyclic neural network and establishing a plurality of second output-input information groups.
In this example, the cyclic tag means a tag set up when repeating acquisition is avoided during cyclic operation;
in this example, the marked information axis represents an information axis obtained after marking the output circulation label and the input circulation label on the output-input information comparison axis;
in this example, the preset recurrent neural network represents a neural network for performing a recurrent matching work.
The working principle of the technical scheme has the beneficial effects that: in order to further acquire a plurality of second output-input information sets, a circulation label is established for the output current voltage information and the input current voltage information in the output-input information comparison shaft, so that the phenomenon that one current voltage phenomenon is matched for a plurality of times when circulation matching is performed can be avoided, the labeled information shaft is input into a preset circulation neural network for circulation, a corresponding matching set is established according to the circulation label, and therefore the second output-input information set corresponding to each matching operation can be obtained, and delay correction is convenient to follow.
Example 8
On the basis of embodiment 6, the bidirectional charging intelligent management system for an electric automobile further comprises:
and when the compatibility degree between the power supply mode and the charging mode is within a preset compatibility degree range, determining that the charging mode and the power supply mode are compatible with each other, and controlling the target intelligent charging pile to continuously execute the power supply mode.
The working principle of the technical scheme has the beneficial effects that: and when the power supply mode is compatible with the charging mode, the control target intelligent charging pile continues to execute the power supply mode.
Example 9
On the basis of embodiment 1, the bidirectional charging intelligent management system for the electric automobile further comprises:
the interaction module is used for generating a feedback two-dimensional code when the charging trolley is connected with the target intelligent charging pile for charging;
when the vehicle owner scans the feedback two-dimension code, a feedback report corresponding to the charging trolley is established, and the feedback report is transmitted to the vehicle owner terminal for display.
The working principle of the technical scheme has the beneficial effects that: the charging progress of the charging trolley can be conveniently checked by the vehicle owner at any time through setting the interaction module.
Example 10
On the basis of embodiment 9, the bidirectional charging intelligent management system for an electric automobile further comprises:
the feedback module is used for acquiring and analyzing the charging information to obtain the current electric quantity of the corresponding charging trolley;
according to the power supply mode, the current electric quantity is combined to estimate the time length required by the full charge of the corresponding charging trolley, and a feedback report is established;
and transmitting the feedback report to a vehicle owner terminal for display.
The working principle of the technical scheme has the beneficial effects that: the charging information of the charging trolley is analyzed by establishing the feedback module, and the feedback report is established, so that an owner can conveniently check the charging progress of the vehicle at any time, the time required by the full charge point of the vehicle is determined, and the use feeling of the owner is improved.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. An electric automobile two-way intelligent management system that charges, characterized in that includes:
the preprocessing module is used for respectively acquiring the corresponding working state of each intelligent charging pile, extracting a target intelligent charging pile in a target working state and carrying out two-way communication on the target intelligent charging pile and a corresponding charging trolley;
the acquisition module is used for respectively acquiring charging data corresponding to each charging trolley and working data corresponding to the target intelligent charging pile;
the analysis module is used for analyzing the charging data to obtain charging information of a corresponding charging trolley, and analyzing the working data to obtain working information of a corresponding target intelligent charging pile;
and the control module is used for matching corresponding charging modes for the corresponding charging electric vehicles according to the charging information, and adjusting the power supply mode of the target intelligent charging pile when the power supply mode corresponding to the working information is different from the charging mode.
2. The intelligent management system for bidirectional charging of an electric vehicle of claim 1, further comprising:
and the network module is used for acquiring public networks within a preset range and respectively connecting each intelligent charging pile into the public networks.
3. The intelligent management system for bidirectional charging of an electric automobile according to claim 1, wherein the preprocessing module comprises:
the acquisition unit is used for acquiring the corresponding working state of each intelligent charging pile;
the screening unit is used for establishing a screening mechanism by utilizing a preset target working state, and screening each working state by utilizing the screening mechanism to obtain the target working state;
the positioning unit is used for acquiring a target intelligent charging pile corresponding to the target working state and acquiring a communication network to which the target intelligent charging pile is connected;
and the communication unit is used for establishing a communication local area network based on the communication network, and respectively connecting the target intelligent charging pile and the charging trolley connected with the target intelligent charging pile into the communication local area network for bidirectional communication.
4. The intelligent management system for bidirectional charging of an electric vehicle of claim 1, wherein the acquisition module comprises:
the first acquisition unit is used for respectively acquiring charging data corresponding to each charging trolley through the communication local area network;
the second acquisition unit is used for respectively acquiring working data corresponding to each target intelligent charging pile through the communication local area network;
the data integration unit is used for regarding the charging trolley with the two-way communication relationship and the target intelligent charging pile as a working group, acquiring charging data and working data corresponding to each working group, and establishing a data integration list;
and the data transmission unit is used for respectively transmitting the data integration list to the analysis module and the appointed terminal for display.
5. The intelligent management system for bidirectional charging of an electric vehicle of claim 1, wherein the analysis module comprises:
the first analysis unit is used for acquiring and analyzing the charging data to obtain charging starting time of a corresponding charging trolley, acquiring time difference between the current charging time and the charging starting time, and establishing a charging time axis of the charging trolley according to the time difference;
the second analysis unit is used for acquiring and analyzing the working data to obtain corresponding output current and voltage information of the target intelligent charging pile at different charging moments, analyzing the charging data to obtain corresponding input current and voltage information of the charging trolley at different charging moments, and inputting the corresponding output current and voltage information at different moments and the corresponding input current and voltage information at different charging moments into the charging time shaft to obtain an output-input information comparison shaft;
the third analysis unit is used for respectively acquiring corresponding output current voltage information and input current voltage information at each charging time according to the output-input information comparison shaft, establishing a first output-input information group to obtain a corresponding first current difference and a first voltage difference, and judging whether the first current difference and the first voltage difference are in a preset error range or not;
and the fourth analysis unit is used for acquiring corresponding output current voltage information and input current voltage information at different charging moments in a dislocation way when the first current difference or the first voltage difference is not in the preset error range, establishing second output-input information groups to obtain second current differences and second voltage differences corresponding to each second output-input information group, respectively traversing the first current differences and the second current differences by utilizing the preset error range, extracting a target second output-input information group falling in the preset error range according to the traversing result, acquiring the dislocation amount corresponding to the target second output-input information group, and analyzing the corrected output-input information comparison shaft to obtain the working information of the target intelligent charging pile and the charging information of the corresponding charging trolley.
6. The intelligent management system for bidirectional charging of an electric vehicle of claim 1, wherein the control module comprises:
the first control unit is used for analyzing the charging information to obtain charging amount information corresponding to a percentage of the electric quantity of the corresponding charging electric car in the charging process, predicting the maximum battery capacity of the corresponding charging electric car according to the charging amount information, obtaining initial charging information of the corresponding charging electric car and combining the charging information to obtain the current electric quantity percentage of the corresponding charging electric car, and determining the charging mode of the corresponding charging electric car according to the current electric quantity percentage and the maximum battery capacity;
the second control unit is used for analyzing the working information to obtain a power supply mode corresponding to the intelligent charging pile corresponding to the target, establishing a virtual output model according to the power supply mode, and establishing a virtual input model according to the charging mode;
the third control unit is used for connecting the virtual output model with the virtual input model and performing supply-charge simulation to obtain a simulation result, and obtaining the compatibility degree between the power supply mode and the charge mode according to the simulation result;
and the fourth control unit is used for analyzing the simulation result to obtain difference information between the virtual output model and the virtual input model when the compatibility degree between the power supply mode and the charging mode is out of a preset compatibility degree range, correcting the virtual output model based on the difference information to obtain a corresponding correction model, correcting the power supply mode according to model characteristics of the correction model to obtain a correction mode, and adjusting the power supply mode of the target intelligent charging pile to the correction mode.
7. The intelligent management system for bidirectional charging of electric automobile as set forth in claim 5, wherein said fourth analysis unit comprises:
the first analysis subunit is configured to establish an output circulation label for each piece of output current and voltage information included in the output-input information comparison shaft when the first current difference or the first voltage difference is not within a preset error range, and establish an input circulation label for each piece of input current and voltage information included in the output-input information comparison shaft, so as to obtain a labeled information shaft;
the second analysis subunit is used for inputting the marked information shaft into a preset cyclic neural network, acquiring an output storage position of each piece of output current and voltage information in the marked information shaft in the preset cyclic neural network, sequencing the output current and voltage information according to the order from high to low of the output storage position to obtain an output information sequence, acquiring an input storage position of each piece of input current and voltage information in the marked information shaft, and sequencing the input current and voltage information according to the order from high to low of the input storage position to obtain an input information sequence;
the third analysis subunit is used for acquiring first output current and voltage information positioned at the first position in the output information sequence and second input current and voltage information positioned at the second position in the input information sequence in the preset cyclic neural network;
establishing a first matching group according to a first output circulation tag corresponding to the first output current voltage information and a second input circulation tag corresponding to the second input current voltage information, acquiring second output current voltage information at a second position in the output information sequence and third input current voltage information at a third position in the input information sequence, and establishing a second matching group according to the second output circulation tag corresponding to the second output current voltage information and a third input circulation tag corresponding to the third input current voltage information;
circularly acquiring a plurality of matching groups between a plurality of pieces of output current voltage information and input current voltage information, acquiring all the matching groups, and establishing a second output-input information group;
and the fourth analysis subunit is used for respectively acquiring the first output current voltage information and different input current voltage information in the preset cyclic neural network and establishing a plurality of second output-input information groups.
8. The intelligent management system for bidirectional charging of an electric vehicle of claim 6, further comprising:
and when the compatibility degree between the power supply mode and the charging mode is within a preset compatibility degree range, determining that the charging mode and the power supply mode are compatible with each other, and controlling the target intelligent charging pile to continuously execute the power supply mode.
9. The intelligent management system for bidirectional charging of an electric vehicle of claim 1, further comprising:
the interaction module is used for generating a feedback two-dimensional code when the charging trolley is connected with the target intelligent charging pile for charging;
when the vehicle owner scans the feedback two-dimension code, a feedback report corresponding to the charging trolley is established, and the feedback report is transmitted to the vehicle owner terminal for display.
10. The intelligent management system for bidirectional charging of an electric vehicle of claim 9, further comprising:
the feedback module is used for acquiring and analyzing the charging information to obtain the current electric quantity of the corresponding charging trolley;
according to the power supply mode, the current electric quantity is combined to estimate the time length required by the full charge of the corresponding charging trolley, and a feedback report is established;
and transmitting the feedback report to a vehicle owner terminal for display.
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