CN215642783U - Energy Internet of things integrated system - Google Patents

Abstract

The utility model discloses an energy Internet of things integrated system, which comprises an energy Internet of things cloud platform, a plurality of energy integration stations and a plurality of vehicles, wherein the energy integration stations are connected with and manage the plurality of energy integration stations; the comprehensive energy station comprises a business unit, an energy supply unit and an energy storage unit, and is used for providing electricity conversion, hydrogenation and charging services for vehicles; the energy Internet of things cloud platform is connected with the service unit, the energy supply unit and the energy storage unit through the system control bus respectively. The energy internet of things cloud platform is used as an energy intelligent management center to connect all comprehensive energy stations and new energy vehicles in the whole network, has the capabilities of whole network information acquisition, data comprehensive analysis and prediction, energy supply intelligent scheduling, vehicle energy supply path optimization, operation support of various services of the energy stations and the like, fully links the energy, the cloud, the stations and the four sides of the vehicle end, and provides cheaper, cleaner and more convenient comprehensive energy supply service for vehicle owners.

Description

Energy Internet of things integrated system

Technical Field

The utility model relates to the technical field of intelligent scheduling of energy networks, in particular to an energy Internet of things integrated system.

Background

New energy automobiles have received increasing attention due to their low or even zero exhaust emission. However, although the new energy automobile has many advantages of energy saving, environmental protection, oil saving, and the like, the new energy automobile also has the disadvantages of short driving distance, incomplete related supporting facilities such as battery charging, and the like, so that a user using the new energy automobile has a worry, and the new energy automobile is hindered in popularization and use.

In the correlation technique, fill the energy demand that charging methods such as electric pile satisfied the vehicle through the setting, nevertheless fill electric pile independent operation, fail and carry out data sharing between network and the car charges, lead to supply with demand unbalance, can not provide energy service for the user fast, be difficult to eliminate the user and use new energy automobile's worry, and then cause the influence to falling to the ground and promoting new energy automobile. Moreover, as the energy types used by new energy vehicles are gradually increased, for example, hydrogen, how to realize a scheme for providing rapid energy supply for new energy vehicles with different energy types is a problem to be urgently solved.

In addition, the intelligent degree of energy supply scheduling in China is low, and development of a comprehensive energy management system which solves the problem of energy supply scheduling, fully and reasonably utilizes clean energy and valley electricity of a power grid, greatly optimizes and improves energy supply capacity through intelligent scheduling, provides more preferential and reliable service for users and is based on an energy Internet of things cloud platform is urgently needed.

SUMMERY OF THE UTILITY MODEL

The utility model provides an energy Internet of things integrated system which can realize control over a comprehensive energy station by means of an Internet of things cloud platform and can provide more convenient energy service for user vehicles.

The utility model provides an energy Internet of things integrated system, which comprises an energy Internet of things cloud platform, wherein the energy Internet of things cloud platform is connected with and manages a plurality of comprehensive energy stations and a plurality of vehicles; the comprehensive energy station comprises a business unit, an energy supply unit and an energy storage unit, and is used for providing electricity conversion, hydrogenation and charging services for the vehicle; the energy thing networking cloud platform pass through system control bus respectively with the business unit the energy supply unit with the energy storage unit links to each other, is used for control the business unit the energy supply unit with the energy storage unit operation.

The utility model provides an energy Internet of things integrated system, which is further provided that a business unit at least comprises a power conversion station, a charging station and a hydrogen station, wherein the hydrogen station utilizes surplus or valley price electricity generated by an energy supply unit to prepare hydrogen;

the energy supply unit comprises one or more of a wind power station, a solar power station and a hydroelectric power station (including a water current power station);

the energy storage unit comprises a battery energy storage station.

According to the embodiment of the utility model, information between the comprehensive energy station and the vehicle is interconnected and intercommunicated through the energy Internet of things cloud platform, and four sides of the energy, the cloud, the station and the user are fully connected, so that a more accurate energy supply scheme can be provided for the vehicle, and a more accurate energy scheduling scheme can be provided for the comprehensive energy station; by providing a vehicle energy supplementing scheme for the vehicle, a user can rapidly supplement energy through the vehicle energy supplementing scheme, so that the energy supplementing rate is improved; because the plurality of comprehensive energy stations are connected with the energy Internet of things cloud platform, the energy Internet of things cloud platform can make a more reasonable energy scheduling scheme, so that the comprehensive energy stations can balance energy supply and demand based on the energy scheduling scheme, the energy supply capacity is greatly optimized and improved by predicting in advance and scheduling in real time, more preferential and more reliable energy service is quickly provided for users, and the worry of the users for using new energy automobiles is eliminated; set up in synthesizing the energy station and trade electric installation and hydrogenation unit, can trade the electricity through trading the electric installation, provide hydrogen for the hydrogen energy car through hydrogenation unit, solve the energy supply problem of the new energy automobile of different energy types, further promoted falling to the ground and the popularization of new energy automobile. Meanwhile, a hydrogen production subsystem is arranged in the comprehensive energy station, so that hydrogenation service can be rapidly provided for vehicles.

Drawings

In order to more clearly illustrate the technical solutions and advantages of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without inventive efforts.

Fig. 1 is a schematic structural diagram of an energy internet of things integrated system provided by an embodiment of the utility model.

Fig. 2 is a schematic structural diagram of an integrated energy management system based on an energy internet of things cloud platform according to an embodiment of the present invention.

Fig. 3 is a schematic structural diagram of an energy intelligent scheduling subsystem according to an embodiment of the present invention.

Fig. 4 is a schematic structural diagram of an energy service support subsystem provided in an embodiment of the present invention.

Detailed Description

In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.

It is to be understood that the terms "comprises" and "comprising," and any variations thereof, in the description and claims of the utility model and the drawings are intended to cover non-exclusive inclusions.

Example 1

The embodiment of the utility model provides an energy Internet of things integrated system, which is shown in a reference figure 1 and a reference figure 2. The energy Internet of things integrated system comprises an energy Internet of things cloud platform, wherein the energy Internet of things cloud platform is connected with and manages a plurality of comprehensive energy stations and a plurality of vehicles;

the comprehensive energy station comprises a business unit, an energy supply unit and an energy storage unit, and is used for providing electricity conversion, hydrogenation and charging services for the vehicle;

the service unit at least comprises a power conversion station, a charging station and a hydrogen station, and the hydrogen station utilizes surplus or valley price electricity generated by the energy supply unit to prepare hydrogen;

the energy supply unit comprises one or more of a wind power plant, a solar power plant and a hydroelectric power plant;

the energy storage unit comprises a battery energy storage station.

The comprehensive energy station comprises an energy supply unit, an energy storage unit and a service unit, and each unit reports local data information to the energy Internet of things cloud platform periodically \ according to needs. The energy supply unit can also comprise a wind power station and an electric network; the energy storage unit adopts a large-scale battery system, covers newly purchased batteries and utilizes the batteries in a gradient manner; the service unit can provide electricity changing service, charging service and hydrogen production/hydrogenation service; and energy interaction is carried out among different units through the energy interaction microgrid. Each unit receives/executes a control command/scheduling strategy issued by an intelligent scheduling subsystem in the energy Internet of things cloud platform, completes intelligent routing and scheduling of energy, realizes optimal supply of energy, ensures full utilization of various types of energy, and reduces energy supply cost.

The energy Internet of things cloud platform is respectively connected with the service unit, the energy supply unit and the energy storage unit through a system control bus and is used for controlling the operation of the service unit, the energy supply unit and the energy storage unit. The vehicle accesses the energy Internet of things cloud platform through the Internet of vehicles, reports data information including key information such as position, vehicle speed and energy allowance on a regular basis/on demand, and receives notification information issued by the energy Internet of things cloud platform; the vehicle owner completes service interaction with the energy Internet of things cloud platform service support subsystem through the app \ applet, and obtains mobile and intelligent service experience including energy early warning, mobile payment, intelligent navigation and the like.

The energy Internet of things integrated system is used as an integrated system for integrating the energy station, the energy Internet of things cloud platform and the vehicle, and the energy station and the vehicle which are mutually independent are interconnected by means of the energy Internet of things cloud platform, so that the operation of each unit in the integrated energy station can be controlled more reasonably and rapidly, and the energy service is provided for the vehicle.

In practical application, each comprehensive energy station can be accessed to the energy internet of things cloud platform through a system control bus (namely, a system control interactive information flow) or a network and the like, the system control bus is used for controlling the interactive information flow, and each vehicle can be accessed to the energy internet of things cloud platform through the system control bus or the internet of vehicles and the like, so that each comprehensive energy station and each vehicle can communicate through the energy internet of things cloud platform. The energy internet of things cloud platform is used as an energy intelligent management center to connect all comprehensive energy stations and new energy vehicles in the whole network, has the capabilities of whole network information acquisition, data comprehensive analysis and prediction, energy supply intelligent scheduling, vehicle energy supply path optimization, operation support of various services of the energy stations and the like, fully links the energy, the cloud, the stations and the four sides of the vehicle end, and provides cheaper, cleaner and more convenient comprehensive energy supply service for vehicle owners.

Example 2

The embodiment of the method provides a comprehensive energy management system based on an energy Internet of things cloud platform. The integrated energy management system is based on the embodiment of the energy Internet of things integrated system provided by the embodiment 1.

With reference to embodiment 1, the integrated energy management system manages the electricity exchanging, hydrogenation and charging services provided by the energy scheduling and service units of the integrated energy station through the energy internet of things cloud platform, and the energy internet of things cloud platform includes an energy intelligent scheduling subsystem and an energy service supporting subsystem; and the energy service support subsystem provides functional modules for charge management, battery change management, hydrogen station management, vehicle management, order and settlement, operation and maintenance, monitoring and the like, is linked with the service unit of the comprehensive energy station and supports the development of various services of the comprehensive energy station. And the energy intelligent scheduling subsystem formulates an optimal energy scheduling strategy algorithm through data such as load prediction, energy supply prediction, price analysis and the like, issues scheduling instructions to each module unit of the comprehensive energy station and optimizes energy supply of the comprehensive energy station. The energy intelligent scheduling subsystem predicts the power consumption or hydrogenation load demand of the comprehensive energy station, predicts the periodic output of the energy supply units of the comprehensive energy station, analyzes the price, forms a periodic and real-time energy scheduling scheme or a power grid feeding scheme of the comprehensive energy station according to the prediction and analysis result, and issues a scheduling instruction to each unit of the comprehensive energy station and controls and executes the scheduling instruction to optimize the energy supply of the comprehensive energy station.

In this embodiment, as shown in fig. 3, the energy intelligent scheduling subsystem includes:

and the energy load prediction submodule is used for performing load prediction according to the vehicle operation load information and the power consumption or hydrogenation load demand of the service unit of each comprehensive energy station to obtain a service load predicted value.

In practical application, firstly, the charging and battery replacing time and duration of a vehicle, the volume of hydrogen energy added by a hydrogen energy vehicle, the number of output batteries of a battery replacing station, the output electric quantity of a charging station, the output electric quantity and time of a battery energy storage station, the volume of hydrogen energy output by the hydrogen station, weather information, geographical environment information, battery information of the vehicle, a running track, and the current vehicle state (average speed per hour, battery electric quantity, hydrogen capacity, position information and vehicle real-time position weather information) are acquired through an energy internet of things cloud platform system and a BMS battery management system; and collecting information, analyzing and counting to construct an energy load prediction model and a real-time energy load prediction model.

The method comprises the steps of obtaining energy loads in unit time, obtaining weather information, date, geographic environment and unit time as parameters by using weather service, obtaining weather, date and geographic environment vector values according to an expert database (weather factors, date factors and geographic environment factors), inputting the weather, date and geographic environment vector values into an energy load prediction model based on a multi-task algorithm of a depth structure, completing prediction, and obtaining energy load information of a total energy load, energy loads of all stations and energy consumption load information of a battery energy storage station, a battery changing station, a charging station and a hydrogen station.

The method comprises the steps of obtaining real-time energy load information, obtaining corresponding factor vector values according to current weather information, geographic environments (weather and geographic information service obtaining) and time periods as input parameters, obtaining corresponding factor vector values according to expert libraries (driver driving behavior factors, weather factors, date factors and geographic environment factors), inputting the corresponding factor vector values into a real-time energy load prediction model based on a depth structure multitask algorithm, completing prediction, and obtaining energy loads of input time periods, energy loads of all stations and energy load consumption information of battery energy storage stations, battery changing stations, charging stations and hydrogen stations.

And the power generation and supply capacity prediction submodule is used for predicting the periodic output of the energy supply units of the comprehensive energy station according to the historical data of the power generation amount of the energy supply units of each comprehensive energy station, the future weather information and the policy information to obtain an energy supply predicted value.

In practical application, firstly, the output power of a wind power station, the output power of a photovoltaic power station, the output power of a power grid, future weather information, geographical environment information and regional information of each station in unit time are collected through an energy Internet of things platform system; and collecting information, analyzing and counting to construct a power generation capacity prediction model, a photovoltaic power generation prediction model and a power grid power supply prediction model.

Wind power plant prediction model: the method comprises the following steps that future weather information (weather service acquisition) and date are used as parameters, weather and geographic environment variable values are obtained according to an expert database (weather factors: wind power level, geographic environment factors: plain, plateau and mountain area), input into a wind power station prediction model based on a deep learning algorithm, prediction is completed, and power supply station equipment power supply power information of each station is obtained through calculation;

photovoltaic power station prediction model: acquiring parameters such as date, future weather information (weather service acquisition), time and the like, acquiring weather information variable values and geographic environment information variable values according to an expert database (weather factors: sunlight intensity, geographic environment factors: plain, plateau and mountain area), inputting the weather information variable values and the geographic environment information variable values into a photovoltaic power station prediction model based on a deep learning algorithm, completing prediction and obtaining photovoltaic power station equipment power supply power information of a station;

power grid power supply prediction model: and inputting the data of the region information, the date and the time into a power grid power supply prediction model to obtain power grid power supply power information and a power failure time period.

And the energy dynamic pricing submodule is used for obtaining an energy pricing scheme of the equipment in a certain period according to the equipment cost and the operation cost of each comprehensive energy station and the historical operation data and the historical sales condition of each comprehensive energy station. This module needs carry out price pricing as the parameter according to the model of energy price intelligent analysis submodule piece, and this module needs carry out dynamic pricing to filling electric pile, battery charging, mainly contains cost price, selling price etc.. The method is characterized in that a site, regional country network price and time parameter are required to be input for a charging station, the real-time price of the site is obtained according to an energy dynamic pricing model, the setting of operation activities is also considered, price floating adjustment is required on the basis of pricing for different activities of the site, meanwhile, manual intervention conditions are also considered for pricing rules, namely, the price is manually set by an operator, the pricing condition is carried out without referring to the analysis result, the temporary condition (sudden natural disasters, accidents and the like) is mainly considered, abnormal condition alarm is also considered, and the pricing condition which is too high, too low and not in accordance with market rules is included. Battery pricing for the battery replacement station: the battery model, the battery cost price, the geographic environmental factors, the cost price of the charging station equipment and the reference prices of different sites need to be considered, the setting of operation activities also needs to be considered, the price floating adjustment needs to be carried out on the basis of pricing aiming at different activities of the sites, and the manual intervention condition needs to be considered, namely the price which needs to be manually set by an operator, and the pricing condition needs not to be carried out by referring to the analysis result.

And the energy price intelligent analysis submodule is used for determining an energy use price scheme by analyzing and comparing the electricity prices of different areas, different time periods, different policies and different power supply modes.

In practical application, data are collected, statistical analysis is carried out on the data, then a price analysis model is built, influence factors including regional policy factors, geographic environment factors, operation cost, regional power grid price, time factors, income targets set by operators and human factors needing to be added (for example: government encouragement policies, implemented preferential policies and natural disasters) are added, and the price analysis model is optimized by adjusting the influence factors. Policy influencing factors: the price is formulated according to the policy in the region; the operation cost factor is as follows: pricing needs to be considered on the basis of operation cost, otherwise pricing rationality is influenced; regional grid price factors: for the charging equipment, the local prices of different areas are different; time factor: the price of the grid is different in different time periods and the power supply capacity is also different.

And the energy scheduling main module is used for formulating the energy scheduling scheme or the power grid feeding scheme according to the energy supply predicted value, the service load predicted value and the energy use price scheme, and pushing the energy scheduling scheme or the power grid feeding scheme to each comprehensive energy station, wherein the energy scheduling scheme comprises energy supply scheduling of energy storage, battery charging and replacing services and hydrogen production services.

In practical application, the energy scheduling main module formulates an energy scheduling algorithm and strategy according to the service load prediction data and the energy supply prediction data and by combining the energy cost price data, and determines a control scheme of the energy supply unit, the energy storage unit and the service unit. The whole process combines prediction data of several days to plan in advance, combines data of the real-time running process of the vehicle to perform active algorithm deviation correction, and simultaneously, sends control instructions in a rolling mode to achieve real-time control scheduling. Each control unit comprises an energy supply unit, an energy storage unit and a service unit, and acquires an energy scheduling strategy from an energy scheduling main module through a cloud platform, and executes corresponding control instructions, wherein the control instructions comprise power grid collaborative energy supply grid-connected on/off, energy storage system grid-connected charging/discharging, charging station/battery replacement station/hydrogen generation station energy consumption control optimization and the like. The optimization scheduling of energy interaction including preferential energy supply of new energy (wind energy and solar energy), energy storage/hydrogen production of the new energy, power grid collaborative energy supplement, valley electricity energy storage, power grid feeding and the like is realized.

In this embodiment, the energy intelligent scheduling subsystem further includes:

and the hydrogen energy dispatching module is used for dispatching the surplus hydrogen to the area with larger demand and selling the surplus hydrogen for the vehicle or the market.

In this embodiment, and as shown in fig. 4 in combination, the energy service support subsystem includes:

and the comprehensive energy station management module is used for managing the plurality of comprehensive energy stations and providing the distribution information and the service information of the plurality of comprehensive energy stations.

A vehicle scheduling module for managing matching energy station scheduling of a plurality of said vehicles; when the electric quantity/fuel of the vehicle is too low or the driving mileage is not enough to reach the destination, the driver automatically recommends a comprehensive energy station with a short distance to the driver according to the current vehicle position, road conditions and energy demand types and recommends the comprehensive energy station to the driver for selection. And the driver navigates to the recommended energy station before and after clicking, and displays the available parking space, waiting time and other information of the current energy station.

The charging management module is used for remotely controlling the switch of the charging pile control unit, supporting the charging service of the comprehensive energy station and recording charging metering information; a driver uploads information such as people, vehicles, equipment IDs and the like to an energy Internet of things cloud platform end for identification and authentication by using a mobile terminal APP/small program code scanning mode, a website license plate automatic identification mode and the like, the cloud platform remotely controls a charging pile control unit switch through a network to realize self-service charging of the driver,

the system forms an order, monitors and tracks the use process, and records the metering information such as charging time, electric quantity and the like for expense settlement.

The battery replacement management module is used for remotely controlling a switch of the battery replacement control unit, supporting the battery replacement service of the comprehensive energy station and recording battery replacement metering information; the driver uses removal end APP/applet to sweep modes such as sign indicating number, website license plate automatic identification, uploads information such as people, car, equipment ID to energy thing networking cloud platform end and discerns the authentication, and the cloud platform trades electric control unit switch through network remote control, realizes that the driver trades the electricity by oneself, and the system monitors the tracking to the use, and the while record trades metering information such as electric time, electric quantity and is used for the expense settlement.

The hydrogen business management module is used for remotely controlling a hydrogenation control unit switch, supporting the hydrogenation service of the comprehensive energy station and recording hydrogenation metering information; the comprehensive energy station can use part of electric energy to prepare hydrogen under the condition of abundant or excessive electric energy, and finally forms hydrogen fuel to be stored. The driver who uses hydrogen energy automobile uses modes such as APP/applet sweep sign indicating number, website license plate automatic identification, uploads information such as people, car, equipment ID to energy thing networking cloud platform end and discerns the authentication, and the back is passed in the authentication, and the cloud platform passes through network remote control hydrogenation control unit switch, realizes the self-service hydrogenation of driver, and the system forms the order to monitoring and tracking the use, recording measurement information such as hydrogenation time, volume simultaneously and being used for the expense settlement.

The battery asset management module is used for managing full life cycle data of the battery asset, wherein the full life cycle data comprises a complete data chain from a production link, a delivery link, an operation link and a scrapping link; the battery asset management module ensures that the battery asset data is reliable, credible and available by using a block chain technology and is used for supporting transaction behavior authentication such as battery lease, echelon utilization, securitization and the like.

And the charge settlement module is used for providing charge settlement service for the vehicle based on charge settlement information under the condition that a charge settlement mode is a real-time or periodic settlement mode, wherein the charge settlement information comprises at least one of the charging metering information, the battery replacement metering information and the hydrogenation metering information.

In this embodiment, the fee settlement module is further configured to provide the fee settlement service for the vehicle by using the total mileage and the power consumption used by the vehicle in the previous settlement period when the fee settlement mode is the periodic settlement mode. The charging rules are divided into two types, one type is paying according to the amount, and after a driver finishes charging and replacing electricity or hydrogenation operation in the comprehensive energy station, the driver automatically calculates the settlement cost according to the information of the currently used electric quantity, hydrogen and the like; the other is to pay according to the last driving mileage, and after the driver arrives at the comprehensive energy station, the driver can pay according to the total mileage used in the last period, so as to circulate.

There are two ways for the driver to settle accounts, namely periodic settlement and real-time settlement.

The driver completes the whole energy supply process through code scanning payment or click payment on App/small program and the like. Meanwhile, the current expense detail including information such as electricity price, hydrogen price and preference is generated, and a user bill is generated. For the operation manager, information such as sales statistics and sales details of the current day and month can be generated according to the time period.

Aiming at the multi-scene power supply and multi-scene use conditions, a multi-party trusted transaction network is established by using a block chain technology, order information or transaction bill information of the current time is generated after an order is generated or payment is completed, the order and settlement safety of a power supply party and a power consumer is ensured, and a trusted transaction environment is established.

The operation and maintenance management module can check various monitoring information of the comprehensive energy station and the operation processes of charging, battery changing, hydrogenation and the like in the station in real time through a digital twin technology. When an abnormal warning occurs, the message notification can be received at the first time and processed quickly. Meanwhile, the current energy storage condition of the comprehensive energy station is mastered at any time so as to facilitate subsequent processing operation. The administrator can maintain the basic information and the configuration information of the energy station, and can inquire the information of the management user, the order account and the like.

And for the feedback suggestions submitted by the user, the operation and maintenance personnel process the suggestions at the first time and feed the results back to the user. In the present embodiment, the vehicle includes a rechargeable vehicle, an extended range vehicle, a hydrogen energy vehicle, an electric conversion vehicle, and a hybrid vehicle.

In this embodiment, the energy supply unit further includes a thermal power plant, a natural gas power plant, a nuclear power plant, and an electric grid.

According to the technical scheme provided by the embodiment, the information between the comprehensive energy station and the vehicle is interconnected and intercommunicated through the energy Internet of things cloud platform, the four sides of the energy, the cloud, the station and the user are fully connected, a more accurate energy supply scheme can be provided for the vehicle, and a more accurate energy scheduling scheme can be provided for the comprehensive energy station; by providing a vehicle energy supplementing scheme for the vehicle, a user can rapidly supplement energy through the vehicle energy supplementing scheme, so that the energy supplementing rate is improved; because the plurality of comprehensive energy stations are connected with the energy Internet of things cloud platform, the energy Internet of things cloud platform can make a more reasonable energy scheduling scheme, so that the comprehensive energy stations can balance energy supply and demand based on the energy scheduling scheme, the energy supply capacity is greatly optimized and improved by predicting in advance and scheduling in real time, more preferential and more reliable energy service is quickly provided for users, and the worry of the users for using new energy automobiles is eliminated; set up in synthesizing the energy station and trade electric installation and hydrogenation unit, can trade the electricity through trading the electric installation, provide hydrogen for the hydrogen energy car through hydrogenation unit, solve the energy supply problem of the new energy automobile of different energy types, further promoted falling to the ground and the popularization of new energy automobile. Meanwhile, a hydrogen production subsystem is arranged in the comprehensive energy station, so that hydrogenation service can be rapidly provided for vehicles.

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above examples only show some embodiments of the present invention, and the description thereof is more specific and detailed, but not to be construed as limiting the scope of the utility model. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (2)

1. An energy Internet of things integrated system is characterized by comprising an energy Internet of things cloud platform, wherein the energy Internet of things cloud platform is connected with and manages a plurality of comprehensive energy stations and a plurality of vehicles;

the comprehensive energy station comprises a business unit, an energy supply unit and an energy storage unit, and is used for providing electricity conversion, hydrogenation and charging services for the vehicle;

the energy thing networking cloud platform pass through system control bus respectively with the business unit the energy supply unit with the energy storage unit links to each other, is used for control the business unit the energy supply unit with the energy storage unit operation.

2. The energy Internet of things integrated system according to claim 1, wherein the business unit at least comprises a power conversion station, a charging station and a hydrogen station, and the hydrogen station utilizes surplus or valley price electricity generated by the energy supply unit to prepare hydrogen;

the energy supply unit comprises one or more of a wind power plant, a solar power plant and a hydroelectric power plant;

the energy storage unit comprises a battery energy storage station.

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