FR3144565A1 - 5G CLOUD SERVICE FOR TWO-WAY EXCHANGE OF STORED ENERGY - Google Patents

Abstract

According to the invention, during a bidirectional exchange of energy for optimized network capacity management, a cloud service receives, from different power networks accessing the service, different status reports indicating a state of excess energy or a state of energy shortage. In the case of a power surplus condition in a particular one of the power networks, the cloud service issues, over a cellular data communications network, an invitation to a battery interface for different batteries of Respectively different subscriber electric vehicles each start recharging an associated battery with energy from the particular one of the supply networks. Conversely, in the case of a power shortage state, the cloud service issues, over the cellular data communications network, an invitation to a battery interface for different respectively different subscriber electric vehicle batteries to each start the operation. discharging an associated battery in the particular network among the power networks. Fig. 1

Description

5G CLOUD SERVICE FOR TWO-WAY EXCHANGE OF STORED ENERGY FOR OPTIMIZED NETWORK CAPACITY MANAGEMENT

PREVIOUS STATE

Field of the invention

The present invention relates to the technical field of charging an electric vehicle within a power network and more particularly to intelligent charging for electric vehicles in an electric power network.

Description of related art

An electric vehicle generally refers to a motorized vehicle that uses one or more electric motors to propel a vehicle along a route. In most cases, an electric vehicle can be powered by a stand-alone battery or set of batteries. To this end, batteries are essential to the operation of an electric vehicle. Electric vehicle batteries are typically recharged by coupling an electric vehicle's battery pack to an electrical power source. After a period of time has elapsed, the batteries in the battery pack will have become sufficiently charged and ready to discharge to power a motor used to propel the vehicle along a route.

Although the electric vehicle avoids the direct consumption of fossil fuels, electricity is still required to recharge the battery of the electric vehicle. Charging an electric vehicle at a charging point itself often involves the consumption of fossil fuels at the electricity grid which in turn supplies electricity to grid-coupled electric vehicle charging stations electric. Thus, promoting a principle of avoiding peaks in energy demand remains of paramount importance, and implies the need for systems capable of promoting optimal use of electrical energy.

In order to promote the optimal use of electric charging stations within a single electricity network by electric vehicle operators, it was suggested to engage in “smart charging”. Smart charging refers to a charging system in which electric vehicles, electric vehicle charging stations and charging operators share data connections within the electricity network. Through smart charging, charging stations monitor, manage and limit the use of charging devices with the aim of optimizing energy consumption through the avoidance of electric charging for moments peak demand in the electricity network, and the promotion of electric charging at times when electricity demand within the network is low.

Determining when to encourage battery charging in an electric vehicle and when to discourage battery charging in an electric vehicle is only part of the solution to optimizing energy use in an electrical network . In particular, occasionally, a state of energy shortage may appear in an electrical supply network. In this case, it is not only important to discourage electric vehicle charging within the affected network, but it is also important to find ways to improve energy availability in the affected network. Conversely, in the case of a state of surplus energy in an electrical network, it is useful to promote the timely use of the surplus energy for charging electric vehicles. Furthermore, for true optimization, the state of energy surplus and energy shortage must be known to dynamically coordinate electric vehicle charging across multiple neighboring networks.

BRIEF SUMMARY OF THE INVENTION

Embodiments of the present invention address technical gaps in the state of the art with respect to electric vehicle charging optimization across different power networks. Examples of power networks may include a photovoltaic or wind power plant which may be connected to a house or building, an energy storage system which may be connected to a house or building, or a photovoltaic or wind turbine with energy storage systems that can be connected to a house or building. To this end, the embodiments of the present invention relate to a novel and non-obvious method for a bidirectional energy exchange method for optimized network capacity management. Embodiments of the present invention also relate to a novel and non-obvious computing device configured to perform the aforementioned method. Finally, the embodiments of the present invention relate to a novel and non-obvious data processing system incorporating the above-mentioned device to realize the above-mentioned method.

In one embodiment of the invention, a method for bidirectional exchange of energy to optimize network capacity management includes monitoring energy usage within separate power networks in a power broker. optimization running as a cloud service accessible through separate power networks over a data communications network. Then, a power shortage state may be detected in a corresponding network among the separate power networks indicating a power shortage with respect to a power demand in the corresponding network among the separated power networks. For example, the state of energy shortage may be detected with reference to extrapolated energy usage based on a profile of past energy usage in each of the separate power networks. A response to the power shortage condition includes transmitting, over a cellular data communications network to a 5G-enabled battery interface for an electric vehicle located within the corresponding one of the separate power networks, an invitation connecting a battery of the electric vehicle located within the corresponding one of the separate power networks to a charging station located within the corresponding one of the separate power networks and discharging energy from the battery of the electric vehicle located within the corresponding network among the separate power networks in the corresponding network among the separate power networks.

Conversely, a power surplus condition may be detected in a different network among the separate power networks indicating a power surplus relative to a power demand in the different network among the separate power networks. As before, the surplus energy condition may be detected with reference to an extrapolated energy usage based on a profile of past energy usage in each of the separate power networks. A response to the excess power condition includes transmitting, over the cellular data communications network to a 5G-enabled battery interface for an electric vehicle located within the different one of the separate power networks, an invitation connecting a battery of the electric vehicle located within the different network among the separate power networks to a charging station located within the different network among the separate power networks and recharging the battery of the electric vehicle located within the different network among the separate power networks with energy from the different network among the separate power networks.

According to one aspect of the embodiment, the electric vehicle located within the corresponding network among the separate power networks receives the invitation to discharge energy from the battery of the electric vehicle located within the corresponding network among the separate power networks in the corresponding network among the separate power networks provided that a charge level of the battery of the electric vehicle located within the corresponding network among the separate power networks exceeds a charge threshold. Likewise, according to another aspect of the embodiment, the electric vehicle located within the different network among the separate power networks receives the invitation to recharge the battery of the electric vehicle located within the different network among the networks separate power supply networks with energy from the different network among the separate power networks provided that a charge level of the battery of the electric vehicle located within the different network among the separate power networks passes to the below a load threshold.

According to another embodiment of the invention, a data processing system is designed for bidirectional exchange of energy for optimized management of network capacity. The system includes a host computing platform having one or more computers, each having memory and one or more processing units including one or more processing cores. The system also includes an optimization broker module executing in the memory of at least one of the processing units of the host computing platform. The optimization broker module includes a communication coupling, over a global data communications network, with separate information servers, each associated with one of a plurality of separate power networks. The separate information servers, in turn, each report, over the global data communications network, an energy state selected from the group consisting of an energy surplus state and an energy shortage state. 'energy.

The optimization broker module further includes separate communication couplings, over a cellular data communications network, with different subscribed batteries for respectively different electric vehicles, each of the vehicles being located within one of the networks separate power supplies. As such, the computer program instructions make it possible, during their execution in the memory of at least one of the processing units of the host computer platform, to detect in a corresponding server among the separate information servers, a state of energy shortage in a corresponding network among the separate power networks indicating a shortage of energy with respect to a demand for energy in the corresponding network among the separate power networks and responding to the shortage state energy by transmitting, over the cellular data communications network to a 5G compatible battery interface for an electric vehicle located within the corresponding one of the separate power networks, an invitation to connect a battery of the electric vehicle located within the corresponding network of the separate power networks to a charging station located within the corresponding network of the separate power networks and discharging energy from the battery of the electric vehicle located at within the corresponding network among the separate power networks in the corresponding network among the separate power networks.

Similarly, the computer program instructions make it possible, when executed in the memory of at least one of the processing units of the host computer platform, to detect in a different server among the separate information servers, a state of surplus energy in a different network among the separate power networks indicating a surplus of energy compared to a demand for energy in the different network among the separate power networks and to respond to the surplus state energy by transmitting, over the cellular data communications network to a 5G compatible battery interface for an electric vehicle located within the different network among the separate power networks, an invitation to connect a battery of the electric vehicle located within the different network among the separate power networks to a charging station located within the different network among the separate power networks and to recharge the battery of the electric vehicle located within the different network among the networks separate power supplies with power from the different network among the separate power networks.

In this way, technical shortcomings of power distribution optimization across different power networks are overcome through subscription-based communication with different electric vehicles from a cloud service linking usage status of energy from multiple different power networks so as to enable bidirectional charging and discharging from and to respective ones of the power networks experiencing different states of energy surplus and energy shortage.

Additional aspects of the invention will be set forth in part in the description which follows, and will in part be apparent from the description, or may be learned by practice of the invention. Aspects of the invention will be carried out and obtained by means of the elements and combinations indicated in particular in the appended claims. It should be understood that both the foregoing general description and the following detailed description are given by way of example and explanation only and do not limit the invention, as claimed.

BRIEF DESCRIPTION OF THE DIFFERENT VIEWS OF THE DRAWINGS

The accompanying drawings, which are incorporated into and constitute part of the specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention. The embodiments illustrated here are currently preferred, it being understood, however, that the invention is not limited to the precise arrangements and instrumentalities presented, in which:

there is a pictorial illustration reflecting different aspects of a bidirectional energy exchange process for optimized network capacity management;

there is a block diagram representing a data processing system designed to carry out one aspect of the data processing process. ; And,

there is a flowchart illustrating one aspect of the process of .

DETAILED DESCRIPTION OF THE INVENTION

Embodiments of the invention relate to bidirectional energy exchange for optimized network capacity management. According to one embodiment of the invention, a cloud service receives, from different power networks accessing the service, different status reports indicating an energy surplus state or an energy shortage state . In the case of a power surplus condition in a particular one of the power networks, the cloud service issues, over a cellular data communications network, an invitation to a battery interface for different batteries of Respectively different subscriber electric vehicles each start recharging an associated battery with energy from the particular one of the supply networks. Conversely, in the case of a power shortage state, the cloud service issues, over the cellular data communications network, an invitation to a battery interface for different respectively different subscriber electric vehicle batteries to each start the operation. discharging an associated battery in the particular network among the power networks.

As an illustration of one aspect of the embodiment, the pictorially represents a bidirectional energy exchange process for optimized management of network capacity. As shown in the , a cloud optimization broker 100 communicates with a network information interface 130 for each of a multiplicity of separate power networks 120 on a computer communications network 110. The network information interface 130 provides to the cloud optimization broker 100 an indication of a power distribution capacity of a corresponding network among the separate power networks 120, for example a shortage state 160A in which the demand for energy by the corresponding network one of the separate power networks 120 exceeds the supply available in the corresponding one of the separate power networks, or a surplus state 160B in which the demand for energy by the corresponding one of the separate power networks 120 is below the capacity of the corresponding network among the separate power networks to supply energy.

Upon receiving an indication of a shortage condition 160A in a corresponding one of the separate power networks 120, the cloud optimization broker 100 issues, over a 5G cellular communication network 190, an invitation to discharge 180A prompting an Internet of Things (IoT) battery 150 of an associated electric vehicle 140 to discharge energy stored in the battery 150 to the corresponding one of the separate power networks 120. Optionally, the issuance of the discharge invitation 180A may be conditioned by the cloud optimization broker 100 on a current charge level of the battery 150 such that the battery 150 is invited only to the extent that the current charge exceeds a value minimum threshold.

Conversely, upon receiving an indication of a surplus state 160B in a different network among the separate power networks 120, the cloud optimization broker 100 transmits, over a 5G cellular communication network 190, a charging invitation 180B inviting an Internet of Things (IoT) designed battery 150 of an associated electric vehicle 140 to recharge the battery 150 with power from the corresponding one of the separate power networks 120. Optionally, issuing the recharge invitation 180A may be conditioned by the cloud optimization broker 100 on a current charge level of the battery 150 such that the battery 150 is invited only to the extent that the current charge changes to the -below a minimum threshold value.

It should be noted that the indication of a shortage state 160A or a surplus state 160B can be inferred from past usage data 170 for the respective ones of the power networks 120 recording states of past energy at different times correlated with different contextual circumstances, such that a current context of a corresponding network among the separate power networks 120 can be matched with a past context in the past usage data 170 in order to to predict a state of shortage 160A or a state of surplus 160B.

Aspects of the process described in relation to the can be implemented within a data processing system. As a further illustration, the schematically represents a data processing system designed to achieve bidirectional energy exchange for optimized network capacity management. In the data processing system illustrated in , a host computing platform 200 is planned. The host computing platform 200 includes one or more computers 210, each having memory 220 and one or more processing units 230. The computers 210 of the host computing platform (only a single computer is shown for purposes of illustrative simplicity) may be co-located within and in communication with each other on a local area network, or on a data communications bus, or the computers may be located remotely from each other and in communication with each other via a network interface 260 over a data communications network 240.

The host computing platform 200 is communicatively coupled, over a data communications network 240, with different network information servers 290 corresponding to separate power networks. Furthermore, the host computing platform 200 is communicatively coupled, over the data communications network 240 over a 5G cellular communications network (not shown), with different 5G endpoints 280 for IoT-enabled batteries 270 respectively different. Notably, a computing device 250 comprising a non-transitory computer-readable storage medium may be included with the data processing system 200 and accessible by the processing units 230 of one or more of the computers 210. The computing device stores thereon 250 or maintains therein a program module 300 which includes computer program instructions which, when executed by one or more of the processing units 230, performs a programmatically executable process for bidirectional energy exchange for optimized network capacity management. Specifically, the program instructions, during their execution, receive from the various network information servers 290 a current status of energy usage in respective power networks and a capacity to supply energy additional in these respective power networks.

When determining a surplus energy state in one of the power networks based on current status information received in the memory 220 from a corresponding one of the different information servers network 290, the program instructions select different points among the 5G endpoints co-located with a feed network of the corresponding server among the network information servers 290 and the program instructions issue thereto an invitation to recharge respective batteries among the batteries 270 from the power supply network. Conversely, when determining a power shortage state in one of the power networks based on current status information received in the memory 220 from a corresponding one of the different servers d network information 290, the program instructions select different points among the 5G endpoints co-located with a feed network of the corresponding server among the network information servers 290 and the program instructions issue an invitation thereto discharging respective batteries among the batteries 270 on the power network.

As a further illustration of an example operation of the module, the is a flowchart illustrating one aspect of the process of . Beginning at block 310, a particular network from a plurality of separate power networks is selected for processing. At block 320, a communication connection is established with the particular one of the plurality of separate power networks and at block 330, a power usage in the particular one of the power networks is determined. Next, at block 340, the recovered energy usage feeds a prediction agent matching the recovered energy usage with a table of past usages and correlated energy consumption states.

At decision block 350, it is determined from the prediction agent whether or not a surplus or shortage condition exists in the particular network among the power networks. If none of these conditions exist, the process returns to block 310 with a selection of a new network from the feed networks for processing. But otherwise, at block 360, the 5G endpoints co-located with the particular network among the feeder networks are identified and at block 370, an invitation is issued to each of the 5G endpoints inviting each of the endpoints receiving charging into the particular one of the power networks in response to a state of surplus energy, or discharging into the particular network of the power networks in response to a state of shortage of energy. Finally, the process can return to block 310 with the selection of a new network from the power networks for processing.

Importantly, the foregoing flowchart and block diagram mentioned herein illustrate the architecture, functionality, and operation of possible implementations of computing systems, methods, and devices according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or instruction part, which includes one or more executable instructions for implementing the logic function(s). ) specified. In some alternative implementations, the functions noted in the block may occur in an order other than that noted in the Figures. For example, two blocks shown in succession may, in fact, be executed substantially simultaneously, or the blocks may sometimes be executed in reverse order, depending on the functionality involved. It should also be noted that each block of the functional diagrams and/or the flowchart illustration, and combinations of blocks in the functional diagrams and/or the flowchart illustration, can be implemented by systems based on special-purpose equipment that performs specified functions or acts or implements combinations of computer instructions and special-purpose equipment.

More specifically, the present invention may be incorporated as a programmatically executable process. Furthermore, the present invention can be incorporated within a computing device on which programmatic instructions are stored and from which the programmatic instructions can be loaded into the memory of a data processing system and executed therefrom. -this in order to carry out the preceding programmatically executable process. Still further, the present invention may be incorporated within a data processing system configured to load the programmatic instructions from a computing device and to then execute the programmatic instructions to carry out the programmatically executable process which precedes.

For this purpose, the computing device is a non-transitory computer-readable storage media or media maintaining therein or storing thereon computer-readable program instructions. These instructions, when executed from memory by one or more processing units of a data processing system, cause the processing units to perform different programmatic processes as an example of different aspects of the executable process programmatically. In this regard, the processing units each include an instruction execution device such as a central processing unit or “CPU” of a computer. One or more computers may be included within the data processing system. It should be noted that while the CPU may be a single core CPU, it will be understood that multiple CPU cores may be operating within the CPU and in either case the instructions are directly loaded from the memory in one or more of the cores of the one or more CPUs for their execution.

In addition to directly loading instructions from memory for execution by one or more cores of a CPU or multiple CPUs, the computer-readable program instructions described herein may alternatively be retrieved over a computer communications network in the memory of a computer of the data processing system for execution therein. Furthermore, only part of the program instructions can be retrieved from memory over the computer communications network, while other parts can be loaded from persistent computer storage. Still further, only part of the program instructions may be executed by one or more processing cores of one or more CPUs of one of the computers of the data processing system, while other parts may be executed. cooperatively execute within a computer different from the data processing system that is either co-located with the computer or positioned remotely from the computer on the computer communications network, the results of the calculation by the two computers being shared between them.

The corresponding structures, materials, acts, and equivalents of any means or step plus function elements in the claims below are intended to include any structure, material, or act for achieving the function in combination with other elements claimed as specifically claims. The description of the present invention has been presented for purposes of illustration and description but is not intended to be exhaustive or limited to the invention in the form disclosed. Numerous modifications and variations will appear to those skilled in the art without departing from the scope and spirit of the invention. The embodiment has been chosen and described in order to best explain the principles of the invention and the practical application, and to enable others skilled in the art to understand the invention for various embodiments with various modifications as appropriate for the particular use intended.

Having thus described the invention of the present application in detail and with reference to the embodiments thereof, it will appear that modifications and variations are possible without departing from the scope of the invention defined in the claims appended as follows.

Claims (10)

Method of bidirectional energy exchange for optimized management of network capacity, the method comprising the steps consisting of:
monitoring energy usage within separate power networks in an optimization broker running as a cloud service accessible by the separate power networks over a data communications network;
detecting a power shortage state in a corresponding one of said separate power networks indicating a power shortage with respect to a power demand in the corresponding one of said separate power networks and responding to the state of shortage of energy by transmitting, over a cellular data communications network to a 5G compatible battery interface for an electric vehicle located within the corresponding one of said separate power networks, an invitation to connect a battery of the electric vehicle located within the corresponding network of said separate power networks to a charging station located within the corresponding network of said separate power networks and discharging energy from the battery of the electric vehicle located within the corresponding network of said separate power networks in the corresponding network of said separate power networks; And,
detecting a state of surplus energy in another network of said separate power networks indicating a surplus of energy relative to a demand for energy in said other different network of said separate power networks and responding to the state of surplus energy by the transmission, on the cellular data communications network towards a 5G compatible battery interface for an electric vehicle located within said other network among said separate power networks, of an invitation to connect a battery of the electric vehicle located within said other network among the separate power networks to a charging station located within said other network among said separate power networks and to recharge the battery of the electric vehicle located within said other network among the separate power networks with energy from said other network among said separate power networks. A method according to claim 1, wherein the energy shortage state and the energy surplus state are detected based on energy usage extrapolated from a past usage profile of energy in each of the separate power networks. A method according to claim 1, wherein the electric vehicle located within the corresponding one of the separate power networks receives the invitation to discharge energy from the battery of the electric vehicle located within the corresponding one of the network separate power networks in the corresponding network among the separate power networks provided that a charge level of the battery of the electric vehicle located within the corresponding network among the separate power networks exceeds a charge threshold. Method according to claim 1, wherein the electric vehicle located within said other network among the separate power networks receives the invitation to recharge the battery of the electric vehicle located within said other network among the separate power networks with the energy coming from said other network among said separate power networks provided that a charge level of the battery of the electric vehicle located within said other network among said separate power networks falls below a threshold of charge. Data processing system designed for bidirectional energy exchange for optimized network capacity management, the system comprising:
a host computing platform including one or more computers, each having memory and one or more processing units including one or more processing cores; And,
an optimization broker module executing in the memory of at least one of the processing units of the host computing platform, the optimization broker module comprising a communication coupling, on a global communications network of data, with separate information servers, each associated with one of a plurality of separate power networks, the separate information servers each reporting, over the global data communications network, a power state selected from the group consisting of an energy surplus state and an energy shortage state, the optimization broker module further comprising separate communication couplings, on a cellular data communications network, with different subscribed batteries for respectively different electric vehicles, each of the vehicles being located within a network among the separate power networks;
the computer program instructions allowing, during their execution in the memory of at least one of the processing units of the host computer platform, to carry out the steps consisting of:
detecting, in a corresponding one of the separate information servers, a power shortage state in a corresponding one of the separate power networks indicating a power shortage with respect to a power demand in the corresponding one of the network separate power networks and respond to the power shortage state by transmitting, over the cellular data communications network to a 5G compatible battery interface for an electric vehicle located within the corresponding one of the networks separate power supply networks, an invitation to connect a battery of the electric vehicle located within the corresponding network among the separate power networks to a charging station located within the corresponding network among the separate power networks and to discharge energy from the battery of the electric vehicle located within the corresponding network among the separate power networks in the corresponding network among the separate power networks; And,
detect, in another server among the separate information servers, a state of surplus energy in another network among the separate power networks indicating a surplus of energy compared to an energy demand in said other network among the separate power networks and respond to the surplus energy condition by transmitting, over the cellular data communications network to a 5G compatible battery interface for an electric vehicle located within said other one of the networks separate power supply networks, an invitation to connect a battery of the electric vehicle located within said other network among the separate power networks to a charging station located within said other network among the separate power networks and to recharge the battery of the electric vehicle located within said other network among the separate power networks with energy coming from said other network among the separate power networks. A system according to claim 5, wherein the energy shortage state and the energy surplus state are detected based on energy usage extrapolated from a past usage profile of energy in each of the separate power networks. System according to claim 5, wherein the electric vehicle located within the corresponding one of the separate power networks receives the invitation to discharge energy from the battery of the electric vehicle located within the corresponding one of the network separate power networks in the corresponding network among the separate power networks provided that a charge level of the battery of the electric vehicle located within the corresponding network among the separate power networks exceeds a charge threshold. System according to claim 5, wherein the electric vehicle located within said other network among the separate power networks receives the invitation to recharge the battery of the electric vehicle located within said other network among the separate power networks with the energy coming from said other network among the separate power networks provided that a charge level of the battery of the electric vehicle located within said other network among the separate power networks falls below a threshold of charge. A computing device including a non-transitory computer-readable storage medium having program instructions stored therein, the instructions being executable by at least one processing core of a processing unit to cause the processing unit to perform an exchange bidirectional energy flow for optimized management of network capacity by the steps consisting of:
monitoring energy usage within separate power networks in an optimization broker running as a cloud service accessible by the separate power networks over a data communications network;
detecting a power shortage state in a corresponding one of the separate power networks indicating a power shortage with respect to a power demand in the corresponding one of the separate power networks and responding to the state of shortage of energy by transmitting, over a cellular data communications network to a 5G compatible battery interface for an electric vehicle located within the corresponding one of the separate power networks, an invitation to connect a battery of the electric vehicle located within the corresponding one of the separate power networks to a charging station located within the corresponding one of the separate power networks and discharging energy from the battery of the electric vehicle located within the corresponding network among the separate power networks within the corresponding network among the separate power networks; And,
detecting a state of surplus energy in another network of the separate power networks indicating a surplus of energy relative to a demand for energy in said other network of the separate power networks and responding to the state of surplus energy by transmitting, over the cellular data communications network to a 5G compatible battery interface for an electric vehicle located within said other network among the separate power networks, an invitation to connect a battery of the electric vehicle located within said other network among the separate power networks to a charging station located within said other network among the separate power networks and to recharge the battery of the electric vehicle located within said other network among the separate power networks with energy from said other network among the separate power networks. Device according to claim 9, wherein the energy shortage state and the energy surplus state are detected based on energy usage extrapolated from a previous usage profile of energy in each of the separate power networks.