Method for improving the utilization of electrical energy and server equipment available in an electrical supply network

Abstract

Method for improving the utilization of electrical energy available in an electrical supply network, in which - the respective state of charge data of each electrically rechargeable energy storage device (2) of a large number of different electric vehicles (1) are transmitted to a central server facility (4), - respective position data, which indicate the locations (6) of the electric vehicles (1), are transmitted to the central server facility (4), and - from the transmitted charge status data and the transmitted position data from the central server facility (4) a map (5) is generated in which the respective locations (6) of the electric vehicles (1) are spatially resolved together with a respective charge status, - the generated card (5) is transmitted to at least one control unit which controls the electrical supply network on the basis of the card (5), characterized in that - transmitted as part of the position data or automatically determined on the basis of the position data whether the respective electric vehicle (1) is parked in a parking space, and - the electrical supply network is automatically controlled depending on a typical dwell time of electric vehicles parked at the respective parking space (1), - wherein the respective degree of autonomy of the electric vehicles (1) is transmitted to the central server facility (4) and, based on the map (5), those electric vehicles (1) that are equipped for driverless autonomous driving are automatically assigned to a geographical region in which the electrical supply network currently has a higher demand for electrical energy, storage capacity and / or control power compared to the respective current location (6) of the autonomous electric vehicles (1), as can be provided by the energy storage devices (2) of the autonomous electric vehicles (1).

Description

[0001] The invention relates to a method for improving the utilization of electrical energy available in an electrical supply network and a server facility set up for carrying out such a method.

[0002] Regarding electrical supply, distribution, and transmission networks, a number of challenges and opportunities are emerging for the future. On the one hand, electric vehicles could contribute significantly more to electricity consumption in the future than they do now; on the other hand, their electrical energy storage devices, i.e., batteries, especially traction batteries, could also provide significant storage capacity for electrical energy. Furthermore, the increasing generation of electricity from renewable sources means that, unlike with the use of conventional fossil and nuclear fuels, electricity is no longer necessarily produced in a spatially and temporally consumption-oriented manner or correlated with actual consumption or demand.This applies particularly to wind turbines, as the availability of sufficiently strong and consistent winds obviously cannot be controlled.

[0003] WO 2013 / 029670A1 describes a method for determining the amount of electrical energy required to supply charging stations for electric vehicles. This involves recording the number of electric vehicles located in a given area and using this number to determine the area-specific energy quantity needed to supply at least one charging station within that area. For example, an energy quantity of 37.5 kWh might be required in an area if all vehicles in that area were to immediately use a charging station to recharge their batteries. Accordingly, an energy quantity determination device reserves this amount of energy for that area, for example, for the next 30 minutes.

[0004] German patent DE 10 2012 203 121 A1 discloses an energy management system with a network for transmitting electrical energy. This system generates energy consumption forecasts, from which control mechanisms determine and implement coupling interventions for generation facilities connected to the network or control interventions for storage facilities to stabilize the system.

[0005] German patent DE 10 2014 206 381 A1 discloses a control unit for coordinating the charging processes of a large number of vehicles via a corresponding number of charging stations. For this purpose, charging information and grid information, specifying the target power to be drawn from the electrical supply network by the charging processes, are determined. Based on this, a large number of charging schedules are generated, each including, for one of the vehicles, a charging power with which the vehicle's battery is to be charged, a time profile of the charging power, and a time at which the charging process is to begin. The charging schedules are transmitted to the corresponding charging stations. This is intended to reduce the load on the electrical supply network.

[0006] Furthermore, EP 2 627 532 B1 discloses a recharging system for battery-powered electric vehicles using a smart grid system, EP 2 518 856 B1 discloses a grid control system, a grid control system, an information distribution system and an information distribution method used in an electric vehicle, DE 10 2016 212 026 A1 discloses a method and a control unit for stabilizing a supply network, and Seongpil Cheon and Suk-]u Kang, “An Electric Power Consumption Analysis System for the Installation of Electric Vehicle Charging Stations”, Energies 10, p. 1534 (2017) discloses a system for analyzing electrical consumption for the installation of charging stations for electric vehicles.

[0007] Furthermore, US document 2016 / 0247106A1 describes the management of a fleet of autonomous electric vehicles for on-demand transportation and additional services for the power grid, and US document 2017 / 0315557A1 describes a charging system for autonomous vehicles.

[0008] The object of the present invention is to enable improved use of energy that can be provided in an electrical supply network.

[0009] This problem is solved according to the invention by the subject matter of the independent claims. Advantageous embodiments of the invention are specified in the dependent claims, as well as in the following description and in the drawings.

[0010] A method according to the invention serves to improve the utilization of electrical energy available in an electrical supply or distribution network. In this method, the respective state-of-charge data of each electrically rechargeable energy storage device from a multitude of different electric vehicles are transmitted to a central server. According to the invention, position data indicating the locations of the electric vehicles are also transmitted to the central server. From the transmitted state-of-charge data and the transmitted position data, the central server then generates a map in which the respective locations of the electric vehicles, along with their respective state-of-charge data, are spatially resolved and thus individually recorded.

[0011] The electrical supply network can be, for example, a regional, preferably a nationwide, or even cross-border physical network of lines for transmitting and distributing electrical energy or electrical power. The supply network can include generation facilities, such as power plants, wind turbines, and the like, storage facilities, such as pumped-storage power plants, and / or other infrastructure and / or switching elements. A large number of different electrical consumers can be connected to and / or already connected to the electrical supply network in a manner known per se. In this case, this includes in particular electric vehicles and their rechargeable energy storage devices, i.e., batteries, especially traction batteries.Electric vehicles can be connected to a vehicle-external charging station for energy transfer between the electrical supply network and the energy storage systems of the electric vehicles.

[0012] To transmit position and charge state data, the central server can be directly or indirectly connected to the electrical grid, particularly to the charging stations, and / or to the electric vehicles via one or more data connections. The data connection for transmitting position and / or charge state data to the central server can be implemented, for example, via the electrical grid, a completely or partially separate data network, a mobile network, or similar technology. The position data, i.e., the locations of the electric vehicles, can be determined, for example, using a satellite-based positioning system.The state of charge data can be determined, for example, by a charging control system of the electric vehicles and / or by a respective charging control system of the charging stations, in particular by measurement or by reading from the energy storage systems or a respective battery management system (BMS).

[0013] To generate the map, the central server combines position data and state-of-charge data, thereby visualizing the spatial distribution of energy and storage capacities generated by electric vehicles or their energy storage systems and made available when connected to the electrical grid. This distribution is thus made available and usable for further applications. In the context of the present invention, the map is to be understood as a map, i.e., a geographical or spatial distribution overview based on the real world. By including the states of charge or state-of-charge data of the electric vehicles in the map according to their actual positions or locations, improved resource utilization and distribution can be advantageously facilitated.Resources in this sense include, for example, electrical energy or power produced and fed into or capable of being fed into the electrical supply network, electrical energy already stored in the energy storage devices, i.e., batteries, of the electric vehicles, free storage capacity of the batteries of the electric vehicles to absorb further electrical energy, and control power that can be used, for example, to control, regulate and / or stabilize the electrical supply network.

[0014] The knowledge about the current spatial distribution of these resources, generated or made available by the map, allows, for example, peak production of electrical energy, such as from unexpectedly efficient wind turbines, to be targeted and redirected to areas where free storage capacity is available or can be provided by electric vehicle batteries. A particularly advantageous feature is that the map can not only be generated statically once, but also that changes, trends, or developments over time can be determined and analyzed based on maps created at different times.In particular, this temporal development of the map or several corresponding maps, i.e. a corresponding history, can be used usefully for planning an expansion or adaptation of the electrical supply network, for example for planning corresponding power lines and / or charging stations, since an actual need is spatially localized, i.e. spatially resolved, recorded in or by the map and can be used in a particularly clear and effective way.

[0015] The generated map is transmitted to at least one control unit, which then uses the map to control the electrical supply network. This control unit can be part of the central server system. Alternatively, the control unit can be a separate part of the electrical supply network, distinct from the central server system. The map can also be advantageously transmitted to multiple such control units. This allows these multiple control units to control and regulate the electrical supply network consistently based on the same data—namely, the same centrally generated map. This approach allows for particularly reliable and efficient control and regulation of the electrical supply network, as the necessary data exchange between the multiple control units for coordination is significantly reduced.

[0016] Furthermore, as part of the location data, it is either transmitted or automatically determined based on the location data whether the respective electric vehicle is parked in a parking space. The electrical supply network is then automatically controlled depending on the typical dwell time of electric vehicles parked at that particular parking space. In other words, the control or regulation of the electrical supply network takes into account which electric vehicles are currently not in use and also considers the type of parking space. Different electrical demand or load profiles are associated with the type of parking space, i.e., the typical dwell time assigned to it.

[0017] For example, a typical first stay duration might be assigned to a long-term parking space at an airport. A shorter second stay duration might be assigned to a parking space in an employee parking garage of a company or office building. An even shorter third stay duration might be assigned to a parking space at a charging station of a restaurant, supermarket, or gas station on a highway, or similar location.

[0018] Taking into account the parking spaces and their associated typical dwell times, it is advantageous, for example, to determine or predict at least the expected service life of the respective electric vehicle. Overall, this enables more flexible control and regulation of the electrical supply network and thus ultimately improves its stability.

[0019] For example, to balance short-term peaks in consumption or demand, electrical energy can be preferentially drawn from the energy storage systems of electric vehicles parked in a parking space with, for instance, at least the first or second typical dwell time. This not only improves the stability of the electrical grid but also enhances user convenience, ensuring the availability of electric vehicles as needed. Similarly, to recharge the energy storage systems, the charging power for electric vehicles parked in a space with, for example, at least the first typical dwell time can be reduced, particularly during periods of above-average consumption or demand for electrical energy.In other words, for example, electric vehicles parked in a parking space with a particularly short typical dwell time can be supplied with particularly high charging power, while electric vehicles parked in a long-term parking space and expected to be unused for a longer period of time are automatically charged with lower charging power in order to reduce the strain on the electrical supply network.

[0020] Furthermore, the respective level of autonomy of the electric vehicles is transmitted to the server or determined by the server, for example, based on the transmitted identifier or identification number of the respective vehicle and a corresponding database. From the large number of electric vehicles, those equipped for driverless autonomous driving are then automatically assigned, based on the map, to a geographical region where the electrical grid has a higher current demand for electrical energy, storage capacity, and / or balancing power compared to the current location of the autonomous electric vehicles. This demand can be provided by the charging and / or discharging power of the autonomous electric vehicles' energy storage systems.

[0021] In other words, electric vehicles can be controlled as spatially mobile components of the electrical grid and moved as needed to utilize its resources and capacities particularly effectively and efficiently. This allows, for example, the mitigation or balancing of an overload in a regional or local subnetwork of the electrical grid by autonomously controlling one or more electric vehicles to the geographical or spatial area of ​​this actually or potentially overloaded subnetwork, i.e., moving them and connecting or coupling them to the electrical grid there.

[0022] The guidance of autonomous electric vehicles, i.e., those equipped for driverless autonomous driving, can, for example, mean that a corresponding navigation destination and a corresponding control command for autonomous driving to the specified navigation destination are transmitted to the electric vehicles, in particular including an instruction to connect autonomously and automatically to the electrical supply network upon reaching the navigation destination, e.g., a target region, for example, to visit a charging station.

[0023] Controlling or directing the electric vehicles can be carried out, for example, by the central server. Likewise, the generated map can be transmitted from the central server to a fleet management system that controls a fleet of autonomous electric vehicles.

[0024] The mobility and flexibility of electric vehicles can be used to advantage, for example, to react quickly and flexibly to damage to the electrical grid, an actual or imminent overload of a distribution point, or similar situations. While moving electric vehicles to other geographical regions within the grid does involve additional energy consumption, this disadvantage can be outweighed by a more significant advantage, such as potentially preventing a partial or complete grid failure. Similarly, autonomous electric vehicles can be deployed to a geographical region currently without electricity to provide a short-term, temporary power supply.

[0025] By continuously or regularly transmitting the charge level and position data, the map can be advantageously updated at least in near real time.

[0026] In an advantageous embodiment of the present invention, the charge state data includes the amount of energy stored in the respective energy storage device, its free storage capacity, and the vehicle's potential charging and discharging power, all of which are transmitted to the central server. The potential charging and discharging power indicates the electrical power with which the respective energy storage device can be charged or discharged as intended. This information enables the charge state data to determine a central control or regulation of the electrical grid based on the generated map, or a corresponding strategy that effectively and efficiently improves the stability and utilization of the electrical grid.For example, it is particularly advantageous to avoid the need to discard surplus electrical energy unused during times and / or in areas where production or feed-in exceeds current demand or consumption. At least some of the state-of-charge data, especially the total capacity of the respective energy storage system and / or the respective vehicle-side charging and discharging power, can be transmitted indirectly or implicitly to the central server or determined by it. This can be done, for example, by transmitting an identifier or identification number of the respective electric vehicle.The central server can then contain a corresponding database in which the relevant technical specifications for the various electric vehicles and their energy storage systems are assigned to the identifiers or identification numbers. This can advantageously reduce the volume of data that needs to be transmitted from the electric vehicles or charging stations to the central server.

[0027] In an advantageous embodiment of the present invention, the state-of-charge data is transmitted only for electric vehicles currently connected to a charging station. The position data is then provided by the respective fixed locations of the charging stations. In other words, the map only records and displays those electric vehicles that are currently connected or coupled to the electrical grid via the respective charging station, i.e., those with which energy transfer or exchange is possible. This advantageously reduces the data volume required to implement the method according to the invention. Furthermore, the relevance and usability of the map are advantageously improved, since the resources recorded therein are immediately available for controlling or regulating the electrical grid.Since the locations of the charging stations are fixed and known, using this method can improve the reliability and accuracy of the position data. For example, even the individual connection lines that link the charging stations to the electrical grid can be known or recorded. Furthermore, the method can also be advantageously used for electric vehicles, or rather, the resources or capacities of such electric vehicles can be utilized, that are not configured to determine and / or transmit their respective position or location data to the central server.

[0028] In an advantageous embodiment of the present invention, the central server generates several different datasets from the transmitted state-of-charge and position data. These datasets summarize the transmitted state-of-charge and position data in different ways for geographical and / or organizational regions of varying sizes or levels. Each of the generated datasets is then assigned to one of the different zoom levels of the map. In other words, the map is generated as a dynamic and zoomable map that can display different data depending on the zoom level. For example, at the highest zoom level, the map displays the state-of-charge and position data of each individual electric vehicle.At a lower zoom level, the map may show the respective total capacities or average capacities of electric vehicles located, for example, in individual cities, subnetworks of the electrical supply network, federal states or the like.

[0029] The average or total capacities can be determined by averaging or adding the respective values ​​of all electric vehicles located in the area or region, i.e., summarizing the relevant data for the electric vehicles present there. This can apply to electrical energy stored in the electric vehicles' energy storage systems, as well as to available storage capacity and / or available charging and / or discharging power, and / or similar factors.

[0030] Particularly advantageous is the ability to color-code and mark relevant areas or regions on the map. Combining multiple zoom levels of the map is also highly beneficial, allowing, for example, the simultaneous display of the charge status and position data of individual electric vehicles, as well as the averaged or aggregated capacities or resources of several or all corresponding electric vehicles, either regionally or area-specifically. This enables the map to be used effectively for regulating or controlling the electrical supply network at multiple hierarchical levels simultaneously.

[0031] In an advantageous embodiment of the present invention, the central server receives information on whether each electric vehicle is currently connected to a charging station linked to the electrical grid. To absorb peak demand or consumption of electrical energy in or from the electrical grid, electrical energy is drawn from the energy storage systems of the connected electric vehicles via these charging stations, to which each electric vehicle is connected, and fed into the electrical grid. This is particularly advantageous based on the understanding that the energy storage systems, i.e., the batteries, of the electric vehicles can provide electrical energy very quickly, and can be ramped up or ramped up significantly faster than, for example, a conventional power plant.Thus, by utilizing electric vehicles connected to the electrical grid, the grid can be stabilized particularly quickly and reliably. Furthermore, it is planned that, to absorb overproduction of electrical energy in the grid, the excess energy will be directed, based on the map, to at least one geographical region where the connected electric vehicles have a below-average state of charge (SoC). In other words, excess produced electrical energy will be redirected or redistributed based on the map so that it is absorbed by the energy storage devices, i.e., batteries, of those electric vehicles that already have a particularly high demand or a particularly high available storage capacity.This not only allows for the beneficial use of currently surplus electrical energy, but also achieves a particularly reliable and advantageously balanced range and usability for all electric vehicles.

[0032] In an advantageous embodiment of the present invention, the card is automatically transmitted to the electric vehicles and / or their assigned users. In other words, the card is made available in the electric vehicles or to the respective users or drivers of the electric vehicles. This allows the electric vehicles or individual users to advantageously identify, at an individualized level—that is, not at the level of an electrical grid operator—where, for example, there is a positive or negative capacity requirement or a need for balancing power for the electrical grid. Accordingly, the individual user can then, for example, move their electric vehicle to the relevant region and make their electric vehicle available to the respective electrical grid operator there.This approach can advantageously create a flexible market, thereby improving the stability of the electrical grid on the one hand and, through appropriate compensation, incentivizing the use or purchase of electric vehicles on the other. For example, individual drivers can recognize when they can make their electric vehicle available to the respective grid operator to help stabilize the grid, if this aligns with their own plans, instead of simply leaving their electric vehicle unused during periods of non-use. Such a model can, for instance, contribute to the refinancing of electric vehicles and thus effectively promote their widespread adoption.

[0033] Another aspect of the present invention is a server device with a communication interface configured to receive the respective state-of-charge data of each electrically rechargeable energy storage device from a multitude of different electric vehicles and to receive position data via a data network, indicating the individual locations of the electric vehicles. The communication interface thus forms a connection to a corresponding data network or data link. According to the invention, the server device is configured to generate a map from the received state-of-charge data and the received position data, in which the respective locations of the electric vehicles are spatially represented together with their respective state of charge.In other words, the server system according to the invention is configured to execute or carry out at least one embodiment of the method according to the invention. In particular, the server system according to the invention can be the central server system mentioned in connection with the method according to the invention.

[0034] Furthermore, the server is configured to transmit the generated map to at least one control unit, which is configured to control the electrical supply network based on the map. Additionally, the server is configured to receive, as part of the location data, or to automatically determine based on the location data, whether the respective electric vehicle is parked in a parking space.Furthermore, the control unit is designed to automatically control the electrical supply network depending on the typical dwell time of electric vehicles parked at each parking space, to transmit the respective degree of autonomy of the electric vehicles to the central server facility, and to automatically assign, based on the map, from the large number of electric vehicles those that are equipped for driverless autonomous driving operation to a geographical region in which the electrical supply network currently has a higher demand for electrical energy, storage capacity and / or control power compared to the respective current location of the autonomous electric vehicles, as can be provided by the energy storage of the autonomous electric vehicles.Furthermore, the server device comprises at least one data storage device with program code stored thereon and at least one processor device connected thereto, wherein the processor device is configured to execute the method according to the invention when the program code is executed.

[0035] The server device according to the invention can comprise at least one data storage device and at least one processor device connected thereto. In particular, the data storage device can contain program code that represents or encodes the process steps of the method according to the invention and which is configured or designed for execution by the at least one processor device.

[0036] The invention also includes combinations of the features of the described embodiments of all aspects of the invention.

[0037] The invention also includes further developments of the server device according to the invention, which have features as described in connection with the further developments of the method according to the invention, and vice versa. To avoid unnecessary redundancy, the corresponding further developments of the server device and the method according to the invention are not explicitly described again here.

[0038] Exemplary embodiments of the invention are described below. The single figure shows a schematic overview to illustrate a method for improving the utilization of electrical energy available in an electrical supply network by integrating electric vehicles.

[0039] The exemplary embodiments described below are preferred embodiments of the invention. In these exemplary embodiments, the described components each represent individual features of the invention that can be considered independently of one another. Each of these features further develops the invention independently and can therefore be considered part of the invention individually or in a combination other than that shown. Furthermore, the described embodiments can also be supplemented by other features of the invention already described.

[0040] The single figure shows a schematic overview to illustrate a method for improving the utilization of electrical energy available in an electrical supply network.

[0041] The present illustration depicts an electric vehicle 1 with a rechargeable electrical energy storage device in the form of a traction battery 2. The electric vehicle 1 serves here as an example and representative of a large number of similar electric vehicles 1. Electric vehicles 1 are inherently highly mobile, and consequently, their geographical position and the charge level of the traction batteries 2 are variable, unlike stationary components of the electrical grid. Accordingly, for example, renewable energy production facilities are not permanently located near electrical consumers such as the electric vehicles 1. The same applies to the times or periods during which electrical energy is generated and demanded.Against this background, reliable and stable control or regulation of the production, storage and consumption of electrical energy, i.e., the operation of the electrical supply network and associated infrastructure, is problematic.

[0042] To achieve an improvement, it is planned that the respective state-of-charge and position data of the electric vehicles 1 will be recorded by a central server 4. For this purpose, the electric vehicles 1 can transmit their respective state-of-charge and position data to the central server 4 continuously or regularly via a suitable data connection. This can occur directly or indirectly, for example, via a charging and communication device 3, which is shown schematically here. The charging and communication device 3 could, for example, be at least part of a mobile network and / or a charging station to which each of the electric vehicles 1 is connected.

[0043] The state-of-charge and position data transmitted by or recorded for the numerous electric vehicles 1 are aggregated and processed by the central server 4. Specifically, the central server 4 generates a map 5 from the transmitted or recorded state-of-charge and position data, in which the respective locations of the electric vehicles 1 are spatially represented along with their respective state of charge. The map 5 thus provides a current spatial distribution of electrical resources provided or potentially provided by the electric vehicles 1, which can be used to control, regulate, and stabilize the electrical supply network.

[0044] Map 5 shows some example local data 6. Depending on the zoom level of Map 5, this local data 6 may refer to the individual locations of specific electric vehicles 1 and / or to aggregated or averaged data for all electric vehicles, for example, in specific urban areas. Map 5 also shows several larger regions 7 as examples. Both the local data 6 and the regions 7 are color-coded to indicate the availability and distribution of electrical energy, particularly the state of charge of the electric vehicles 1 located there. This is illustrated by a legend 8, which provides a scale or classification for the respective states of charge between 100% and less than 10%.

[0045] In the present example, in a first region 9, the average state of charge of the electric vehicles 1 located there is between 75% and 100%. In a second region 10, the average state of charge of the electric vehicles 1 located there is between 0% and 25%. In a third region 11, the average state of charge of the electric vehicles 1 located there is between 25% and 50%. In a fourth region 12, the average state of charge of the electric vehicles 1 located there is between 50% and 75%.

[0046] Based on map 5, the electrical supply network 5, or rather the distribution or rerouting of electrical energy within or through the electrical supply network, is controlled, whereby the electric vehicles 1 are integrated into the electrical supply network, or into its control or stabilization, depending on their respective state of charge and their respective position data, i.e., their respective location. By utilizing the resources of the electric vehicles 1, more efficient use of generated electrical energy and improved control of the electrical supply network can be advantageously achieved.

Claims

[1] Method for improving the utilization of electrical energy available in an electrical supply network, wherein - the respective state of charge data of each electrically rechargeable energy storage device (2) of a large number of different electric vehicles (1) are transmitted to a central server facility (4), - respective position data, which indicate the locations (6) of the electric vehicles (1), are transmitted to the central server facility (4), and - from the transmitted charge status data and the transmitted position data from the central server facility (4) a map (5) is generated in which the respective locations (6) of the electric vehicles (1) are spatially resolved together with a respective charge status, - the generated card (5) is transmitted to at least one control unit which controls the electrical supply network on the basis of the card (5), characterized by , that - transmitted as part of the position data or automatically determined on the basis of the position data whether the respective electric vehicle (1) is parked in a parking space, and - the electrical supply network is automatically controlled depending on a typical dwell time of electric vehicles parked at the respective parking space (1), - wherein the respective degree of autonomy of the electric vehicles (1) is transmitted to the central server facility (4) and, based on the map (5), those electric vehicles (1) that are equipped for driverless autonomous driving are automatically assigned to a geographical region in which the electrical supply network currently has a higher demand for electrical energy, storage capacity and / or control power compared to the respective current location (6) of the autonomous electric vehicles (1), as can be provided by the energy storage devices (2) of the autonomous electric vehicles (1). [2] Method according to claim 1, characterized by, that as part of the respective state of charge data, an amount of energy stored in the respective energy storage device (2) and a free storage capacity of the energy storage device (2) and a charging and discharging power possible on the vehicle side, with which the respective energy storage device (2) can be charged or discharged as intended, are transmitted. [3] Method according to any one of the preceding claims, characterized by , that the charge status data are only transmitted for electric vehicles (1) currently connected to a charging station (3) and that the fixed locations of the charging stations (3) are used as the position data. [4] Method according to any one of the preceding claims, characterized by, that the central server facility (4) generates several different data sets from the transmitted charge state and position data, in which the transmitted charge state and position data are summarized in different ways for geographic and / or organizational regions (6, 7) of different sizes and each of the generated data sets is assigned to several different zoom levels of the map (5). [5] Method according to claim 4, characterized by , that - for each electric vehicle (1) the information is transmitted to the central server facility (4) as to whether the respective electric vehicle (1) is currently connected to a charging station (3) connected to the electrical supply network, and - to absorb peak demand via the charging stations (3) electrical energy is taken from the energy storage systems (2) of the connected electric vehicles (1) and fed into the electrical supply network, and - to counteract an overproduction of electrical energy in the electrical supply network, the excess electrical energy is directed, based on the map (5), to at least one geographical region in which the connected electric vehicles (1) have a below-average state of charge. [6] Method according to any one of the preceding claims, characterized by , that the card (5) is automatically transmitted to the electric vehicles (1) and / or to the users assigned to them. [7] Server facility (4) with a communication interface configured to receive the respective charge state data of each electrically rechargeable energy storage device (2) of a large number of different electric vehicles (1) and to receive the respective position data specifying the individual locations (6) of the electric vehicles (1) via a data network, - wherein the server setup (4) is configured to generate a map (5) from the received charge status data and the received position data, in which the respective locations (6) of the electric vehicles (1) are spatially resolved together with a respective charge status, and - wherein the server setup is configured to transmit the generated map (5) to at least one control unit which is configured to control the electrical supply network on the basis of the map (5), characterized by , that - the server setup is configured to receive, as part of the position data, or to automatically determine based on the position data whether the respective electric vehicle (1) is parked in a parking space, and - the control device is designed to automatically control the electrical supply network depending on a typical dwell time of electric vehicles parked at the respective parking space (1), and - to transmit the respective degree of autonomy of the electric vehicles (1) to the central server facility (4), and the central server facility (4) is configured to automatically assign, based on the map (5), from the multitude of electric vehicles (1) those that are equipped for driverless autonomous driving operation to a geographical region in which the electrical supply network currently has a higher demand for electrical energy, storage capacity and / or control power compared to the respective current location (6) of the autonomous electric vehicles (1), as can be provided by the energy storage devices (2) of the autonomous electric vehicles (1), and wherein the server facility (4) comprises at least one data storage device with program code stored thereon and at least one processor facility connected thereto, wherein the processor facility is configured toto execute the method according to one of claims 1 to 6 when the program code is executed.

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