CN112565420A - Intelligent charging system utilizing Internet of things big data and working method thereof - Google Patents
Intelligent charging system utilizing Internet of things big data and working method thereof Download PDFInfo
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- H—ELECTRICITY
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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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
- B60L53/64—Optimising energy costs, e.g. responding to electricity rates
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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
- B60L53/68—Off-site monitoring or control, e.g. remote control
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- G07F15/00—Coin-freed apparatus with meter-controlled dispensing of liquid, gas or electricity
- G07F15/003—Coin-freed apparatus with meter-controlled dispensing of liquid, gas or electricity for electricity
- G07F15/005—Coin-freed apparatus with meter-controlled dispensing of liquid, gas or electricity for electricity dispensed for the electrical charging of vehicles
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- 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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Abstract
The utility model provides an utilize thing networking big data intelligence charging technology system and working method thereof, relates to one kind and utilizes thing networking facility technique of charging, carries out the analysis through introducing electric wire netting and user big data, realizes the management to regional charging equipment operation, realizes in the true sense that the peak is kept away and the power consumption is filled out in the valley, including data receiving module and data processing operation module, characterized by: the data receiving module comprises a power supply and distribution network data receiving module, a regional load data receiving module, a user account data receiving module, a field and vehicle data module, a network state data receiving module, a vehicle or charging equipment data receiving module and a user setting or instruction receiving module, and the data processing operation module is a data comprehensive processing module; the power supply and distribution network data receiving module, the regional load data receiving module, the user account data receiving module, the field and vehicle data module, the network state data receiving module, the vehicle or charging equipment data receiving module and the user setting or instruction data receiving module are all connected with the data comprehensive processing module.
Description
Technical Field
The invention relates to a charging technology utilizing the Internet of things, in particular to an intelligent charging technology system utilizing big data of the Internet of things and a working method thereof.
Background
As fuel vehicles increase year by year, the pollution of tail gas to the environment is increasingly intensified. The popularization and the limitation of fuel vehicles until forbidden are a great trend of urban traffic management. The popularization and application of the electric automobile become an effective measure for solving the problems of energy crisis and environmental pollution. With the rapid development of electric automobile industrialization. It is foreseeable that the most prominent problem in future use of electric vehicles is the charging problem, i.e. the contradiction between the large number of electric vehicle charging demands and the power supply capacity is increasingly prominent.
As electric vehicles are developed, the number of vehicles increases, and the number of gaps in charging facilities becomes larger and larger. The reason is as follows: on the one hand, the power supply of the existing power supply system, which takes the transformer as a unit, is performed by adopting the regional load quota and scheduling through the whole power grid: that is, when a specific area is involved, such as a residential district, there is a transformer with a fixed transformer load rating, and the maximum load of the power supply dispatching is fixed, and is generally allowed to overflow 20% of the rated capacity of the district; under the condition, the cell owner cannot install the charging facility at will and needs to be examined and approved by a power supply department; the power supply department installs charging facilities in a cell, and the number of the charging facilities is also designed and arranged according to the total fixed load of the cell core; therefore, when the number of electric vehicles in a community reaches a certain number, the charging problem needs to be solved, the number of charging facilities needs to be increased, and further the power load of the community needs to be increased, so that the problem is solved, or large-scale power grid transformation is carried out on the community, a large amount of funds are needed, the implementation difficulty is high, and the realization is difficult unless the national investment is realized; or the power capacity of the existing community is utilized by mining and diving: the problem of electricity utilization peak and electricity utilization valley exists in the actual electricity utilization condition, which causes the actual electricity utilization capacity of the cell to usually only account for about 40% of the rated capacity, namely the power supply capacity of the cell has nearly 60% surplus; the existing electric automobile charging facilities in the market also have intelligent control systems, but the systems do not have the functions of receiving and processing power grids and user big data, cannot accept the dispatching of a power department, and cannot avoid power consumption peaks, so that the problem of overload operation on the power grid level cannot be solved.
On the other hand, the service time and the charging time of the electric automobile are uncertain, and two extreme conditions of serious shortage of charging facilities and a large amount of idling often occur. On the other hand, a large-scale newly-built charging field occupies a large amount of land resources, a large amount of capital is invested, urban planning and engineering construction are involved, and the large-scale newly-built charging field is difficult to build in place in a short time. Therefore, how to effectively solve the charging problem of the electric vehicle on the premise of not changing the existing fixed charging facility to meet the requirements of the current charging users including quick charging and emergency charging and not modifying the existing regional power grid facility in a large scale becomes a problem to be solved urgently in the industry.
Disclosure of Invention
The invention aims to: the intelligent charging technology system and the working method thereof utilize big data of the Internet of things, analyze three data of a power grid, regional loads and users by introducing the three data, and implement scientific management on the operation of regional charging equipment on the basis of receiving the dispatching of a power department, solve the power consumption of peak avoidance and valley filling in the real sense, and greatly improve the power consumption of a regional power system and even a big power grid system. On the premise of ensuring the safety of a power grid, the problem of difficult regional charging brought by the electric automobile is effectively solved, and the economic benefit and the social benefit of a power supply enterprise are improved.
The technical scheme of the invention is as follows: the utility model provides an utilize thing networking big data intelligence charging technology system, includes data receiving processing module and data processing operation module, characterized by: the data receiving and processing module comprises a power supply and distribution network data receiving and processing module, a regional load data receiving and processing module, a user account data receiving and processing module, a field and vehicle data module, a network state data receiving and processing module, a vehicle or charging equipment data receiving and processing module, a user setting or instruction receiving module and a data center processing and operating module; the power supply and distribution network data receiving and processing module, the regional load data receiving and processing module, the user account data receiving and processing module, the field and vehicle data module, the network state data receiving and processing module, the vehicle or charging equipment data receiving and processing module and the user setting or instruction data receiving and processing module are all connected with the data center processing and operating module; the power supply and distribution network data receiving and processing module is in butt joint with a power supply and distribution scheduling system, acquires regional power grid data for processing and receives power grid scheduling; the regional load data receiving and processing module acquires original load data and intelligent load data in a regional power grid; the user account data receiving and processing module acquires charging equipment data required by a regional power grid; the user setting or instruction receiving module acquires the real-time setting or transmitted instruction data of regional power grid users; the field and vehicle data module collects the data of the equipment in the area, which is arranged in the field and needs to be charged, and processes the data; the network state data receiving and processing module collects the number of all electric equipment in the real-time area network and processes the data; the vehicle or charging equipment data receiving and processing module collects and processes all the existing equipment data to be charged in the area, and the data comprehensive processing module is responsible for collecting the module data for comparison and sending an operation instruction to the terminal charging controller according to the structure.
A working method of an intelligent charging technology system utilizing Internet of things big data comprises the following steps:
the working principle is as follows: according to the power dispatching principle and the real-time surplus capacity of the regional power grid, orderly delivery and reasonable delivery of charging terminal facilities in the peak-valley period of the power grid load are realized;
the power dispatching principle means that the system strictly complies with the power dispatching of the power supply department in operation, namely the system preferentially executes the power-off instruction of the power supply department;
1) the power supply and distribution network data receiving and processing module: receiving real-time power load data of a power supply and distribution network transmitted by a power grid dispatching data processing center, simultaneously acquiring real-time load information of a transformer in a region, and calculating real-time surplus power supply capacity of a tail end power grid;
2) the region load data receiving and processing module: original load data and intelligent load data in a regional power grid are collected, power utilization conditions are analyzed and processed, and then the power utilization conditions are transmitted to a data center processing operation module to measure and calculate current available power loads;
3) the user account data receiving and processing module: receiving and processing the vehicle registration and account number transmitted by the APP terminal, and transmitting the information to the data comprehensive processing module:
4) the field and vehicle data module: acquiring site positions in an area and implementation configuration information, and transmitting the information to a data comprehensive processing module;
5) the network state data receiving and processing module: acquiring network power utilization real-time configuration information in an area, and transmitting the information to a data comprehensive processing module;
6) vehicle or charging equipment data receiving and processing module: acquiring information including data of vehicles or charging equipment in an area, and transmitting the information to a data comprehensive processing module;
7) user setting or instruction accepting module: acquiring user setting data including charging appointment, payment and fee deduction and parking stall information, and transmitting the information to a data comprehensive processing module;
8) the data comprehensive processing module realizes centralized management of each area of the system according to power scheduling and original real-time power loads in the areas;
receiving information such as vehicle registration, account management, charging reservation, payment and fee deduction, parking stall parking and the like to manage the intelligent load of the Internet of things;
making a decision on commissioning charging facilities and sending commissioning charging signals according to the comprehensive analysis of the uploaded information such as the number of the charging vehicles, and automatically selecting the charging terminal facilities to alternately charge or adjust the power output of the charging terminal according to time intervals or provide the positioning of nearby chargeable equipment when the surplus capacity of the power supply system cannot meet the charging requirements of all the registered charging vehicles;
thirdly, when the original power load of the transformer exceeds the capacity, a shutdown instruction is issued in time;
and fourthly, processing the information uploaded by the user setting or instruction receiving module and the received settlement/payment system to realize the settlement of the fee.
The invention has the beneficial effects that: under the premise that the existing fixed charging facility is not changed to meet the requirements of long-distance use quick-charging and quick-charging users, and the existing regional facility is not transformed in a large scale, the whole power utilization scheduling of a large power grid and the big data of the users of the large power grid are introduced, and the analysis is carried out by combining the big data of the regional users, so that the technical control on the operation of regional charging equipment is realized under the scheduling of a power department, namely, the intelligent load of the internet of things is adopted for operation according to the power scheduling principle, the charging terminal facility is divided into the peak-valley period of the load of the power grid, and the charging terminal facility is orderly put into operation and reasonably operated; the implementation of the invention can ensure that the actual current power consumption capacity of the cell can only reach about 40 percent of the rated capacity and is improved to 60 percent or even can reach more than 90 percent, thereby realizing peak avoidance and valley filling power consumption in a real sense and greatly improving the power consumption of regional power systems and even large power grid systems. The system and the method provide effective basic guarantee for the large development of the electric automobile industrialization and the popularization of urban electric automobiles and the promotion of the large development of the electric automobile industrialization, and the technical system can also be used for other power utilization charging control requirements.
Drawings
FIG. 1 is a block diagram of the operation of the present invention
In the figure: the system comprises a power supply and distribution network data receiving and processing module 1, a regional load data receiving and processing module 2, a user account data receiving and processing module 3, a field and vehicle data module 4, a network state data receiving and processing module 5, a vehicle or charging equipment data receiving and processing module 6, a user setting or instruction data receiving module 7 and a data comprehensive processing module 8.
Detailed Description
In the figure: the utility model provides a thing networking charging data management center, includes data receiving processing module and data processing operation module, characterized by: the data receiving and processing module comprises a power supply and distribution network data receiving and processing module 1, a regional load data receiving and processing module 2, a user account data receiving and processing module 3, a field and vehicle data module 4, a network state data receiving and processing module 5, a vehicle or charging equipment data receiving and processing module 6 and a user setting or instruction receiving module 7, and the data processing and operating module is a data comprehensive processing module 8; the power supply and distribution network data receiving and processing module 1, the regional load data receiving and processing module 2, the user account data receiving and processing module 3, the field and vehicle data module 4, the network state data receiving and processing module 5, the vehicle or charging equipment data receiving and processing module 6 and the user setting or instruction data receiving and processing module 7 are all connected with the data comprehensive processing module 8; the power supply and distribution network data receiving and processing module 1 is connected with a national power grid, acquires power grid data and receives power grid dispatching; the regional load data receiving and processing module 2 collects original load data and intelligent load data in a regional power grid; the user account data receiving and processing module 3 collects charging equipment data required by a regional power grid; the field and vehicle data module 4 collects the data of the equipment use field arrangement and the equipment to be charged in the region; the network state data receiving and processing module 5 collects all the electric equipment data in the real-time area network; the vehicle or charging equipment data receiving and processing module 6 collects all the existing equipment data to be charged in the area; the user setting or instruction receiving module 7 collects user real-time setting or transmitted instruction data in the regional power grid; the data comprehensive processing module 8 is responsible for collecting the module data for comparison and sending an operation instruction to the terminal charging controller according to the structure.
A working method of an intelligent charging technology system utilizing Internet of things big data comprises the following steps:
the working principle is as follows: according to the power dispatching principle and the real-time surplus capacity of the regional power grid, orderly delivery and reasonable delivery of charging terminal facilities in the peak-valley period of the power grid load are realized;
the power dispatching principle means that the system strictly complies with the power dispatching principle of the power supply department in operation, namely the system preferentially complies with the power failure dispatching principle of the power supply department;
1) the power supply and distribution network data receiving and processing module 1: receiving real-time power load data of a power supply and distribution network transmitted by a power grid dispatching data processing center, simultaneously acquiring real-time load information of a transformer in a region, calculating real-time surplus power supply capacity of a power grid, and then transmitting the real-time surplus power supply capacity to a data comprehensive processing module 8;
2) the area load data receiving and processing module 2: original load data and intelligent load data in the regional power grid are collected, power utilization conditions are analyzed and processed, and then the original load data and the intelligent load data are transmitted to the data comprehensive processing module 8 to predict original power utilization investment;
3) the user account data receiving and processing module 3: receive and handle vehicle registration, the account number of APP terminal transmission to convey information to data integrated processing module 8:
4) site and vehicle data module 4: acquiring site positions in an area and implementation configuration information, and transmitting the information to a data comprehensive processing module;
5) the network state data receiving and processing module 5: acquiring network power utilization real-time configuration information in an area, and transmitting the information to the data comprehensive processing module 8;
6) vehicle or charging equipment data reception processing module 6: acquiring information including data of vehicles or charging equipment in the area, and transmitting the information to the data comprehensive processing module 8;
7) user setting or instruction accepting module 7: acquiring user setting data including charging appointment, payment and fee deduction and parking stall information, and transmitting the information to the data comprehensive processing module 8;
8) the data comprehensive processing module 8 realizes the centralized control of each area of the system according to real-time electricity load information in the area collected by the power dispatching and power supply and distribution network data receiving and processing module 1, the area load data receiving and processing module 2, the user account data receiving and processing module 3, the field and vehicle data module 4, the network state data receiving and processing module 5, the vehicle or charging equipment data receiving and processing module 6 and the user setting or instruction data receiving module 7;
receiving information such as vehicle registration, account management, charging reservation, payment and fee deduction, parking stall parking and the like to manage the intelligent load of the Internet of things;
making a decision on commissioning charging facilities and sending commissioning charging signals according to the comprehensive analysis of the uploaded information such as the number of the charging vehicles, and automatically selecting the charging terminal facilities to alternately charge or adjust the power output of the charging terminal according to time intervals or providing the positioning of nearby chargeable equipment to meet the individual requirements of charging users when the surplus capacity of the power supply system cannot meet the charging requirements of all registered charging vehicles;
thirdly, when the original power load of the transformer exceeds the capacity, a shutdown instruction is issued in time;
and fourthly, the information uploaded by the user setting or instruction receiving module 7 and the received settlement/payment system is processed, and the expense settlement is realized.
Claims (3)
1. The utility model provides an utilize thing networking big data intelligence charging technology system, includes data receiving processing module and data processing operation module, characterized by: the data receiving and processing module comprises a power supply and distribution network data receiving and processing module, a regional load data receiving and processing module, a user account data receiving and processing module, a field and vehicle data module, a network state data receiving and processing module, a vehicle or charging equipment data receiving and processing module, a user setting or instruction receiving module and a data center processing and operating module; the power supply and distribution network data receiving and processing module, the regional load data receiving and processing module, the user account data receiving and processing module, the field and vehicle data module, the network state data receiving and processing module, the vehicle or charging equipment data receiving and processing module and the user setting or instruction data receiving and processing module are all connected with the data center processing and operating module; the power supply and distribution network data receiving and processing module is in butt joint with a power supply and distribution scheduling system, acquires regional power grid data for processing and receives power grid scheduling; the regional load data receiving and processing module acquires original load data and intelligent load data in a regional power grid; the user account data receiving and processing module acquires charging equipment data required by a regional power grid; the user setting or instruction receiving module acquires the real-time setting or transmitted instruction data of regional power grid users; the field and vehicle data module collects the data of the equipment in the area, which is arranged in the field and needs to be charged, and processes the data; the network state data receiving and processing module collects the number of all electric equipment in the real-time area network and processes the data; the vehicle or charging equipment data receiving and processing module collects and processes all the existing equipment data to be charged in the area, and the data comprehensive processing module is responsible for collecting the module data for comparison and sending an operation instruction to the terminal charging controller according to the structure.
2. The working method of the intelligent charging technology system utilizing the internet of things big data as claimed in claim 1 is characterized in that:
the working principle is as follows: according to the power dispatching principle and the real-time surplus capacity of the regional power grid, orderly delivery and reasonable delivery of charging terminal facilities in the peak-valley period of the power grid load are realized;
the power dispatching principle means that the system strictly complies with the power dispatching of the power supply department in operation, namely the system preferentially executes the power-off instruction of the power supply department;
1) the power supply and distribution network data receiving and processing module: receiving real-time power load data of a power supply and distribution network transmitted by a power grid dispatching data processing center, simultaneously acquiring real-time load information of a transformer in a region, and calculating real-time surplus power supply capacity of a tail end power grid;
2) the region load data receiving and processing module: original load data and intelligent load data in a regional power grid are collected, power utilization conditions are analyzed and processed, and then the power utilization conditions are transmitted to a data center processing operation module to measure and calculate current available power loads;
3) the user account data receiving and processing module: receiving and processing the vehicle registration and account number transmitted by the APP terminal, and transmitting the information to the data comprehensive processing module:
4) the field and vehicle data module: acquiring site positions in an area and implementation configuration information, and transmitting the information to a data comprehensive processing module;
5) the network state data receiving and processing module: acquiring network power utilization real-time configuration information in an area, and transmitting the information to a data comprehensive processing module;
6) vehicle or charging equipment data receiving and processing module: acquiring information including data of vehicles or charging equipment in an area, and transmitting the information to a data comprehensive processing module;
7) user setting or instruction accepting module: acquiring user setting data including charging appointment, payment and fee deduction and parking stall information, and transmitting the information to a data comprehensive processing module;
8) and the data comprehensive processing module realizes centralized management of each area of the system according to power scheduling and the original real-time power load in the area.
3. The working method of the intelligent charging technology system utilizing the internet of things big data as claimed in claim 2, is characterized in that: the 8) data comprehensive processing module realizes that the centralized management of each area of the system comprises the following contents according to power scheduling and the original real-time power load in the area:
receiving information such as vehicle registration, account management, charging reservation, payment and fee deduction, parking stall parking and the like to manage the intelligent load of the Internet of things;
making a decision on commissioning charging facilities and sending commissioning charging signals according to the comprehensive analysis of the uploaded information such as the number of the charging vehicles, and automatically selecting the charging terminal facilities to alternately charge or adjust the power output of the charging terminal according to time intervals or provide the positioning of nearby chargeable equipment when the surplus capacity of the power supply system cannot meet the charging requirements of all the registered charging vehicles;
thirdly, when the original power load of the transformer exceeds the capacity, a shutdown instruction is issued in time;
and fourthly, processing the information uploaded by the user setting or instruction receiving module and the received settlement/payment system to realize the settlement of the fee.
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| CN111864759A (en) * | 2020-08-19 | 2020-10-30 | 合肥博软电子科技有限公司 | Intelligent power distribution system and method of charging pile |
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