Charging electric vehicle at charging point of real estate

Abstract

The invention relates to a method (S1-S8) for charging an electric vehicle (8) at a charging point (7) of a real estate (1), in which first charging information is transmitted to an energy management system (11) assigned to the real estate (1) by coupling the electric vehicle to the charging point (S1) (S2, S4), the first charging information comprises at least an expected departure time or an expected target state of charge of the electric vehicle (8) at the departure time; transmitting the second charging information to an energy management system (S3, S4); creating (S5) a charging plan for the electric vehicle (8) by means of the energy management system on the basis of at least the first charging information, the second charging information, predicted rate information of the at least one real-estate-related energy supplier and predicted electricity consumption information of the real estate; and charging (S7) the electric vehicle at a charging point according to the charging plan; the second charging information includes at least one charging parameter from the group of at least one maximum number of wakeup processes of the electric vehicle, a maximum frequency of wakeup processes of the electric vehicle, a charging point, and a maximum energy throughput between the electric vehicles.

Description

Technical Field

[0001] The present invention relates to a method for charging an electric vehicle at a charging point of a real estate, wherein, when the electric vehicle is coupled to the charging point, charging information is transmitted to an energy management system assigned to the real estate, the charging information comprising at least an expected departure time and a target state of charge of the electric vehicle at the departure time, and a charging plan for the electric vehicle is created by means of the energy management system based at least on the charging information, forecasted cost information of at least one energy supplier associated with the real estate, and forecasted electricity consumption information of the real estate, and the electric vehicle is charged at the charging point according to the charging plan. The present invention also relates to a real estate having at least one charging point for charging an electric vehicle, the real estate being configured to perform the method. The present invention also relates to a system having a real estate and a data processing device external to the real estate, the system being configured to perform the method. The present invention can be advantageously applied in particular to fully electric electric vehicles. Background Art

[0002] DE102009036816A1 discloses a method and a device for controlling a charging station for electric vehicles. In order to minimize the peak power requirement, at least two charging stations are combined into a group, actual charging parameters are exchanged among the charging stations in the group, a load forecast is created for the group at least based on the actual charging parameters, and target charging parameters are determined for the charging stations in the group based on the load forecast.

[0003] DE102013010774A1 discloses a method for operating a charging station for electric vehicles, in which a maximum design value of a charging current or a charging power is determined, the determined maximum design value of the charging current or the charging power is transmitted to an electric vehicle electrically connected to the charging station, a first time period is determined at least according to the maximum design value, and during the first time period the electric vehicle is charged with the maximum design value of the charging current. In order to increase the service life of the charging station, a reduced design value of the charging current and a second time period are determined, the second time period determines a duration during which the charging current or the charging power must not exceed the reduced design value, the reduced design value is transmitted to the electric vehicle, and during the second time period the electric vehicle is charged with a maximum of the reduced design value of the charging current or the charging power.

[0004] DE102018202755A1 discloses a method for adapting an electric power supply to an electric power demand in an electric power grid, in which at least one charging station is operated. In the method, a charging forecast is created for at least one motor vehicle by a control device of the power grid, the charging forecast indicating in which future charging time period the motor vehicle is expected to exchange electric energy with the power grid, a time profile of a power demand existing in the power grid is estimated based on the corresponding charging forecast, a time profile of the power supply in the power grid is determined, and at least one predetermined compensation measure is triggered for at least one charging time period in which it is identified that the power supply is less than the estimated power demand, and the power supply is balanced with the power demand by means of the at least one compensation measure.

[0005] US2017 / 0136894A1 discloses a method, apparatus, and system for a communication exchange between a vehicle and a charging system. The communication exchange may include a charging request message sent or received by the vehicle, the charging request message defining charging details, such as charging type, charging location, charging orientation, and / or other information corresponding to the charging request of the requesting vehicle. The charging system may respond to the charging request message by accepting or rejecting the vehicle charging request. In response to accepting the request message, the charging system provides charging for the vehicle according to the charging details.

[0006] US2017 / 0140603A1 discloses a system for vehicle fleet management, the system comprising: a basic management system configured to enable one or more fleet vehicles to receive vehicle services, the basic management system comprising a database, a communication module and an analysis module, the communication module communicating with the one or more fleet vehicles, the analysis module and the database; one or more fleet vehicles, each fleet vehicle comprising a vehicle database and respectively configured to receive charging services and inform the communication module of the vehicle charging status; at least one fleet service site, the fleet service site configured to transmit a charging price to the communication module and provide a charging service at the charging price; the analysis module receives the charging price and determines whether to select the at least one fleet service site to provide charging services for at least one fleet vehicle operating in an insufficiently charged state; when the analysis module selects the at least one fleet service site, the at least one fleet service site provides charging services for the at least one fleet vehicle operating in an insufficiently charged state. Summary of the invention

[0007] The object of the present invention is to at least partially overcome the disadvantages of the prior art and in particular to provide an improved possibility for charging electric vehicles at a charging point on real estate.

[0008] This object is achieved according to the features of the independent claim. Preferred embodiments can be gathered in particular from the dependent claims.

[0009] This object is achieved by a method for charging an electric vehicle at a charging point on a property, wherein when the electric vehicle is coupled to the charging point,

[0010] transmitting first charging information to an energy management system assigned to the immovable property, the first charging information comprising at least an estimated (expected or possible) departure time, a current charge state of the drive battery (actual state of charge) and an expected charge state of the drive battery at the departure time (target state of charge) and / or an expected amount of energy at the departure time and, if necessary, a capacity of the drive battery;

[0011] transmitting the second charging information to the energy management system;

[0012] Creating a charging plan for the electric vehicle by means of the energy management system based at least on the first charging information, the second charging information, predicted rate information of at least one energy provider associated with the real estate, and predicted electricity usage information of the real estate; and

[0013] charging the electric vehicle at the charging point according to the charging plan;

[0014] The second charging information comprises at least one charging parameter from the following group:

[0015] - at least a maximum number of wake-up procedures of the electric vehicle,

[0016] - the maximum frequency of the wake-up process of the electric vehicle,

[0017] - at least one maximum charging activity time of the electric vehicle,

[0018] - Maximum energy throughput between charging point and electric vehicle.

[0019] The method has the advantage that the energy management system can create a charging plan for the electric vehicle by taking into account the second charging information, which charging plan protects the electric vehicle more strongly than before and charges the electric vehicle more energy-efficiently. Thus, limiting the number of wake-up processes can reduce the load on the vehicle electronics caused by the activation of the vehicle electronics (for example from a rest state or a standby state). The energy consumption of the vehicle electronics can also be kept within certain limits. Limiting the energy throughput between the charging point and the electric vehicle during the connection period advantageously protects the drive battery of the electric vehicle.

[0020] An “energy throughput” may be understood to mean, in particular, the amount of electrical energy, power or current which is exchanged between the charging point and the electric vehicle, regardless of the direction of the current flow.

[0021] An electric vehicle typically has a drive battery for driving the electric vehicle. The electric vehicle may be, for example, a hybrid electric vehicle (PHEV) or a fully electric vehicle (BEV). The electric vehicle may be charged via a charging cable and / or inductively. A charging point may be a charging station such as a wall box, or a charging point for inductive charging. “The electric vehicle is connected to the charging point” may therefore include the electric vehicle being connected or coupled to the charging point via a charging cable or inductively.

[0022] During the wake-up process, the vehicle electronic device in the idle state, sleep state or standby state is activated or "woke up", so that the vehicle electronic device consumes more energy than in the idle state, etc. and is also subjected to mechanical and thermal loads, etc. Therefore, the wake-up process includes, in particular, waking up the vehicle electronic device or a part thereof.

[0023] One further development is that the charging point and the electric vehicle are provided for charging and discharging the traction battery of the electric vehicle, which can also be referred to as "bidirectional charging". In this case, the charging plan can accordingly provide for the staged charging and discharging of the traction battery as required. In particular, the traction battery of the electric vehicle can thus be used as a real-world electrical temporary storage during the time period when the electric vehicle is connected to the charging point, for example in the sense of so-called V2H ("vehicle to home") and / or so-called V2G ("vehicle to grid") concepts. This means that the charging plan can include "rest times" (Totzeiten) during which the traction battery is neither charged nor discharged.

[0024] The real estate has, in particular, an electrical network or energy network (hereinafter also referred to as a “residential energy network” without limiting the generality), which is connected to the public power supply network via a network connection point having an electricity meter, in particular a smart meter (a so-called “smart meter” with additional measuring functions). The tariff information may include, for example, current and forecast electricity purchase costs for purchasing electrical energy from the power supply network and, if applicable, current and forecast feed-in fees for feeding electrical energy from the residential energy network into the power supply network.

[0025] A "property-related energy supplier" is understood to be an energy supplier from which electrical energy can be purchased via the grid connection point and which can also supply electrical energy to the property via the grid connection point in the event of excess electrical energy in the residential grid. In one embodiment, the property can enter into a contract with a specific energy supplier, or alternatively with a specific grid operator.

[0026] However, the creation of a charging plan is not limited to taking into account the above-mentioned information. In an extension, costs and / or prices that do not directly result from the contractual relationship can also be taken into account, such as production costs for self-generated electricity, non-monetary prices or cost functions for energy optimization such as the "CO2 price".

[0027] The at least one charging point and common electrical appliances such as kitchen appliances, washing equipment, lamps, media equipment, water heaters, air conditioners, etc. can be connected to the residential energy network. The predicted power consumption information of the real estate may include a typical power consumption curve of the electrical appliances (such as for the time of day and / or the time of week). The predicted power consumption information can be obtained, for example, from historical data of the energy consumption of the real estate.

[0028] Energy management systems (hereinafter also referred to as “house energy management systems”, HEMS, without limiting the generality) are used in particular to predict energy purchases and possible surpluses from a house energy network and to optimize, when an electric vehicle is connected, taking into account the drive battery, in such a way that at least one predetermined goal, such as low purchase costs from the power supply network, environmentally friendly electricity generation, etc., is particularly well met. Optimization can already be performed, in particular for longer periods of time, if the electric vehicle is connected to a charging point as the only buffer and thus to the house energy network. This is because, for example, the drive battery can be charged at times and discharged at times when electrical energy can be purchased from the public power supply network particularly cheaply, in order, for example, to reduce the purchase of electricity from the power supply network by the house energy network when electricity prices are high and / or to feed excess energy from the house energy network into the public power supply network at times when the associated remuneration is high.

[0029] However, the energy management system cannot control the charging and discharging of the electric vehicle's drive battery completely freely and in a manner particularly adapted to the needs of the residential energy network, but rather creates a charging plan (i.e. a planned change curve of the charging current or discharging current between the charging point and the electric vehicle during the electric vehicle connection time period), which also takes into account the first and second charging information about the electric vehicle.

[0030] “The energy management system is assigned to the real estate” can include that the energy management system is part of the real estate, for example implemented in a computer of the real estate. Alternatively or additionally, the energy management system can be an external system that is connected to the residential energy network or its electrical devices (e.g. charging point, at least one current meter, etc.) in terms of data technology. The energy management system can be implemented on a network computer or be cloud-based, for example.

[0031] In one embodiment, the first charging information can include the current charge state of the drive battery (state of charge) and the desired charge state at the time of departure (target state of charge), in particular together with the capacity of the drive battery. This is advantageous, for example, if the state of charge is transmitted from the electric vehicle to the charging point, for example according to the ISO 15118-2 standard.

[0032] Additionally or alternatively, the first charging information may include the amount of energy that the electric vehicle desires at the time of departure. This is advantageous if the state of charge is not transmitted from the electric vehicle to the charging point, as may optionally be provided for, for example, according to ISO 15118-2.

[0033] The first charging information may optionally also include the capacity of the drive battery of the electric vehicle, a charge state that cannot be dropped below (“minimum state of charge”) and / or a maximum and / or minimum charging power and / or discharging power.

[0034] The “maximum charging activity time” means in particular the duration during which the drive battery can be charged and / or discharged and is not, for example, in a rest or standby mode, in particular until the departure time. The “at least one” maximum charging activity time can comprise an absolutely specified charging activity (duration) time, for example a maximum of 3 hours, and / or a percentage of the connected time period (for example a maximum of 20%) or the like.

[0035] In one embodiment, the at least one maximum number of wake-up processes of the electric vehicle comprises or is a maximum number of all wake-up processes or a maximum number of wake-up processes of any type or purpose. This advantageously makes it possible to limit the total load caused by the wake-up processes.

[0036] In one embodiment, the at least one maximum number of wake-up processes of the electric vehicle includes or is the maximum number of wake-up processes by renegotiating a charging plan. "Renegotiating a charging plan" may be understood, for example, as creating a new charging plan (for example because certain forecasts, such as electricity prices, have changed since the last charging plan was drawn up) and coordinating or negotiating this charging plan with the electric vehicle to replace the last charging plan. For this renegotiation, the vehicle electronic devices that are in their rest or standby state must be activated or woken up.

[0037] One embodiment is that the at least one maximum number of wake-up processes of the electric vehicle includes or is the maximum number of wake-up processes by the charging process during the execution of the charging plan. This advantageously limits the number of wake-up processes during the execution of the charging plan itself. It is taken into account that the charging plan, especially when the vehicle is connected for a long time, can have a charging rest time during which no charging (i.e. charging and discharging) should take place. During this charging rest time, the vehicle electronics are usually in their rest or standby state. This embodiment prevents too frequent changes between charging phases and non-charging phases.

[0038] One embodiment is to specify a maximum number of wake-up processes until the departure time of the electric vehicle, for example a maximum of five wake-up phases until the departure time. Alternatively or additionally, a maximum number of wake-up processes can be specified per time period, per 8 hours, per 12 hours or per 24 hours.

[0039] One embodiment consists in that the maximum number of wake-up operations is between four and ten, in particular between five and seven, in particular five.

[0040] One embodiment is that the maximum frequency of the wake-up process is specified in units of hours. One development is that the maximum frequency is one wake-up process per hour or less, for example one wake-up process every two hours.

[0041] One embodiment is that at least one of the charging parameters belonging to the second charging information depends on the state of health (also called SoH) of the electric vehicle's drive battery, the life of the vehicle's electronic devices, the (especially predicted) external temperature and / or the user behavior of the electric vehicle user. For example, a possible change of such charging parameters based on the SoH helps to further protect vehicle components that are loaded during charging, in particular the drive battery itself. For example, if the SoH of the drive battery is relatively low (for example, based on its life, wear caused by a large number of fast charging processes, etc.), the maximum energy throughput can be reduced. In addition, if a low external temperature can be expected during the electric vehicle connection period, the maximum energy throughput can be reduced. The maximum number of wake-up processes in older electronic devices can also be reduced.

[0042] One embodiment is that the second charging information is stored in a data memory of the electric vehicle and is transmitted from the data memory of the electric vehicle to the energy management system. This enables particularly simple provision and transmission to the energy management system. For example, the second charging information (as well as the first charging information) can be transmitted to a charging point, which further transmits the charging information to the energy management system. An extension is that the electric vehicle and the charging point are configured to exchange data in accordance with ISO15118-2 and / or ISO 15118-20. Alternatively or additionally, the electric vehicle can directly transmit the charging information to the energy management system, for example via a radio interface (such as LTE or WLAN).

[0043] One embodiment is that the second charging information is transmitted from the external data processing device to the energy management system. This has the advantage that the second charging information does not need to be stored in the electric vehicle and can also be updated particularly easily. Such an embodiment can be realized, for example, in that when the electric vehicle is coupled to the charging point (i.e. shortly before, during or after), information such as the vehicle ID (EV-ID) and the charging point ID (EVSE-ID) are transmitted to the external data processing device, for example by the electric vehicle, the charging point or the energy management system, and then the second charging information associated with the EV-ID is transmitted to the charging point with the EVSE-ID.

[0044] One embodiment is that the external data processing device is a data processing device maintained by the manufacturer of the electric vehicle. This is particularly advantageous because detailed information about the vehicle status, such as its SoH, software status, maintenance history, etc., is then available in the external data processing device and this information can be used particularly effectively to specifically adapt the second charging information to the electric vehicle to be charged.

[0045] One embodiment is that the real estate is equipped with at least one power generation device, in particular a photovoltaic device, a wind power generation device and / or a geothermal power generation device and a charging plan for electric vehicles is created by means of an energy management system based on a power generation forecast for the power generation device. The at least one power generation device is used to feed electrical energy into a residential energy network and is in particular a part of a residential energy network or connected to a residential energy network. In this case, the power consumption information of the real estate can include a forecast of the electrical energy fed into the residential energy network by the at least one power generation device in addition to the energy consumption forecast of the electrical appliances connected to the residential energy network. The advantage of this embodiment is that the energy flow through the grid connection point can be optimized or managed particularly effectively and flexibly and the charging plan can therefore also be executed particularly effectively and flexibly. Possible forecasts or forecast data can, for example, include typical electricity prices, weather forecasts, etc., for feeding excess electricity into the public power supply network, for example, related to the time of day.

[0046] One embodiment is that the real estate is equipped with at least one stationary electrical buffer or at least one stationary electrical energy storage device for temporarily storing electrical energy is connected to the residential energy network of the real estate and that a charging plan for the electric vehicle is created by means of an energy management system additionally based on the storage capacity of the buffer. This advantageously enables a particularly flexible creation of charging plans.

[0047] The object is also achieved by a real estate having at least one charging point for charging an electric vehicle, which is provided for carrying out the method described above. The real estate can be designed similarly to the method described above and vice versa and has the same advantages.

[0048] One embodiment therefore consists in that the real property is equipped with at least one power generation device and / or at least one stationary electrical intermediate storage device.

[0049] One development is that an energy management system is associated with the real estate and is configured to create a charging plan for the electric vehicle based at least on the first charging information, the second charging information, forecast rate information of at least one energy supplier associated with the real estate, and forecast electricity consumption information of the real estate.

[0050] In one embodiment, the real estate is a single-family residence or a multi-family residence.

[0051] The object is also achieved by a system having a property as described above and a data processing device external to the property, the system being configured to carry out the method using the external data processing device as described above. The system can be constructed similarly to the property and the method and vice versa and has the same advantages. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The above characteristics, features and advantages of the present invention and their implementation methods become clearer and easier to understand in conjunction with the following schematic description of the embodiments, which are described in detail in conjunction with the accompanying drawings. The accompanying drawings are as follows:

[0053] Figure 1 A system is shown having a real estate and an external data processing device coupled thereto, an electric vehicle being connected to a charging point of the real estate for charging; and

[0054] Figure 2 Shown for Figure 1 A possible process for a method of charging an electric vehicle at a charging point on a real estate in a. DETAILED DESCRIPTION

[0055] Figure 1 A system is shown, which includes a real estate, for example a real estate in the form of a single-family house 1, and an external data processing device 2 connected thereto. The single-family house 1 has a residential energy network 3 for supplying electrical consumers 4. In the residential energy network 3, a fixed electrical intermediate store 5, a photovoltaic device 6 and a charging point in the form of a wall box 7 for charging an electric vehicle 8 are also integrated. In an extended solution, the fixed intermediate store 5 can be integrated into the photovoltaic device 6. The residential energy network 3 is connected to a public power grid or power supply network 10 by way of example via a measuring point or grid connection point in the form of a so-called "smart meter" 9.

[0056] If the electric vehicle 8 is connected to the wall box 7, the electric vehicle can be used as a temporary storage 5 of the residential energy network 3 taking into account the first and second charging information and can be charged and discharged accordingly. The wall box 7 and the electric vehicle 8 can exchange data, for example, via ISO 15118-20. In particular, the wall box 7 can receive charging parameters of the first charging information from the electric vehicle 3, such as the capacity of the drive battery, the current actual state of charge, the expected or estimated departure time, the target state of charge at the departure time, and the optional maximum charging power, the minimum state of charge to be observed, etc.

[0057] The residential energy network 3 also includes a residential energy management system or HEMS 11, which is used to control the charging and discharging processes of the buffer 5 and the charging and discharging processes of the drive battery of the electric vehicle 8 (if connected) used as a buffer. The HEMS 11 is connected to the photovoltaic system 6, the fixed buffer 5, the wall box 7 and, if necessary, at least one of the electrical consumers 4 in terms of data technology, as shown by the dotted line. If - as is currently assumed by way of example - the grid connection point is a "smart meter" 9, the HEMS 11 can also be connected to it in terms of data technology. However, in principle, other data technology topologies can also be realized: for example, the smart meter 9 can be connected to the wall box 7 in terms of data technology.

[0058] According to one embodiment, the HEMS 11 can receive charging parameters according to the first and second charging information via the wallbox 7. In another embodiment, the HEMS 11 can receive charging parameters according to the second charging information at least from an external data processing device 2, which is data-connected to the HEMS 11, the wallbox 7 and / or the electric vehicle 8 and which, by coupling to the electric vehicle 8, causes the charging parameters according to the second charging information to be transmitted to the HEMS 11. For example, by coupling the electric vehicle 8 to the wallbox 7, information such as the EV-ID and the EVSE-ID can be transmitted to the external data processing device 2 by the electric vehicle 8, the wallbox 7 or the HEMS 11, which then transmits the second charging information associated with the EV-ID to the HEMS 11, for example directly or via the wallbox 7.

[0059] The external data processing device 2 can be, for example, a data processing device or IT system maintained or operated by the manufacturer of the electric vehicle 8. The external data processing device 2 can, for example, have at least one network server and / or be cloud-based. The external data processing device 2 can, for example, be directly connected to the wall box 7, the electric vehicle 8 and / or a user terminal 14 of a user of the electric vehicle 8, for example a mobile user terminal such as a smartphone or a tablet computer, in terms of data technology, for example, wired and / or wirelessly.

[0060] The HEMS 11 can create a charging plan (including charging and discharging) for the electric vehicle 8 up to the expected departure time based on at least the first and second charging information, the forecast of electricity consumption in the residential energy network 3, the forecast of power generation of the photovoltaic device 6 (for example, using historical data and / or weather forecasts), and the forecast rate information about the purchase from the power supply network 10 and the feed-in to the power supply network, so as to influence the current flowing through the smart meter 9 to optimize at least one predetermined purpose, for example, to optimize costs. The charging plan for the electric vehicle 8 created by the HEMS 11 (hereinafter also referred to as "HEMS charging plan") also takes into account the charging parameters transmitted by the electric vehicle 8 as charging boundary conditions. The charging plan for the electric vehicle 8 can be transmitted by the HEMS 11 to the wall box 7, for example, which then executes the charging plan together with the electric vehicle 8.

[0061] Figure 2 One possible sequence of steps for a method for charging an electric vehicle 8 at a wall box 7 of a single-family house 1 is shown.

[0062] In a first step S1 , the electric vehicle 8 is connected to the wall box 7 , for example via a charging cable.

[0063] In the second step S2 , the electric vehicle 8 transmits charging parameters belonging to the first charging information, such as the actual state of charge, the target state of charge, the estimated departure time, the minimum state of charge, etc., to the wall box 7 .

[0064] In a third step S3, charging parameters belonging to the second charging information, such as at least one maximum number of wake-up processes of the electric vehicle 8, a maximum frequency of wake-up processes of the electric vehicle 8, at least one maximum charging activity time of the electric vehicle 8 and / or a maximum energy throughput between the wall box 7 and the electric vehicle 8, are transmitted to the wall box 7, for example by the electric vehicle 8 or - after notification of the connection - by the external data processing device 2.

[0065] In a fourth step S4 , the charging parameters belonging to the first and second charging information are transmitted by the wall box 7 to the HEMS 11 .

[0066] Alternatively, some charging parameters belonging to the first charging information, such as the target state of charge, the estimated departure time, etc., can also be transmitted by the user terminal 14 to the wall box 7 or the HEMS 11. For example, the user can input the estimated departure time and / or the desired target state of charge in this case via an application running on a smartphone.

[0067] In a fifth step S5 , a charging plan for the electric vehicle 8 is created by the HEMS 11 , which takes into account the charging parameters belonging to the first charging information and the second charging information.

[0068] In a sixth step S6, the charging plan is transmitted to the wallbox 7, which then uses it in step S7 in interaction with the electric vehicle 8 to charge the electric vehicle 8. For this purpose, for example, the actual state of charge is transmitted from the electric vehicle 8 to the wallbox 7 at short intervals. Alternatively, the charging plan is stored only in the HEMS 11 (and not in the wallbox 7), in which case, for example, the target charging power / target charging current (positive / negative) is transmitted to the wallbox 7 at short intervals and the wallbox 7 and the electric vehicle 8 are adapted to this.

[0069] Furthermore, in step S8, it is checked whether the influencing variables on which the creation of the charging plan is based, such as predicted tariff information, weather forecasts, etc., have changed. If this is the case ("yes") and a new charging plan is created by the HEMS 11, which may also take into account the charging parameters belonging to the first and second charging information (including the current actual state of charge), a branch is made to step S5. In step S6, the new charging plan is then transmitted to the wallbox 7, which then uses the new charging plan in interaction with the electric vehicle 8 to charge the electric vehicle 8 in step S7. However, if this is not the case ("no"), step S8 is repeated.

[0070] After the charging plan has been completed, the charging can be terminated in an extended embodiment.

[0071] Of course, the invention is not limited to the embodiments shown.

[0072] In general, “a” or “an” may be understood as being in the singular or in the plural, especially in the sense of “at least one” or “one or more” etc., as long as this is not explicitly excluded, for example by the expression “exactly one” etc.

[0073] A quantity specification may also include exactly the specified quantity and also include the customary tolerance range, unless this is explicitly excluded. Reference numerals list

[0074] 1 Single Family Home

[0075] 2 External data processing device

[0076] 3Residential Energy Network

[0077] 4 Electrical appliances

[0078] 5Fixed electrical registers

[0079] 6 Photovoltaic equipment

[0080] 7 Wall Box

[0081] 8 Electric vehicles

[0082] 9. Smart Meter

[0083] 10 Power supply network

[0084] 11Residential Energy Management System

[0085] S1-S8 Method Steps

Claims

1. A method (S1-S8) for charging an electric vehicle (8) at a charging point (7) of a real estate (1), wherein: When the electric vehicle (8) is coupled to the charging point (7) (S1), transmitting first charging information to an energy management system (11) assigned to the immovable property (1) (S2, S4), the first charging information comprising at least an estimated departure time, an actual state of charge of the drive battery and a target state of charge expected at the departure time of the electric vehicle (8) and / or an amount of energy expected at the departure time; Transmitting the second charging information to the energy management system (11) (S3, S4); Creating a charging plan (S5) for the electric vehicle (8) by means of an energy management system (11) based at least on the first charging information, the second charging information, predicted rate information of at least one energy supplier associated with the real estate (1) and predicted electricity consumption information of the real estate (1); and charging the electric vehicle (8) at the charging point (7) according to the charging plan (S7); The second charging information includes at least one charging parameter from the following group: - at least a maximum number of wake-up processes of the electric vehicle (8), - the maximum frequency of the wake-up process of the electric vehicle (8), - at least one maximum charging activity time of the electric vehicle (8), - Maximum energy throughput between the charging point (7) and the electric vehicle (8).

2. The method (S1-S8) according to claim 1, wherein: The at least one maximum number of wake-up procedures of the electric vehicle (8) comprises at least one number from the following group: - the maximum number of all wakeup processes, - the maximum number of wake-up processes by renegotiating the charging schedule, - The maximum number of wake-up processes through the charging process during the execution of the charging plan.

3. The method (S1-S8) according to claim 2, wherein: A maximum number of wake-up operations until the departure time of the electric vehicle (8) and / or a maximum number of wake-up operations per time unit, in particular per day, is specified.

4. The method (S1-S8) according to any one of the preceding claims, wherein: The maximum frequency of the wake-up process is specified in units of hours or less.

5. The method (S1-S8) according to any one of the preceding claims, wherein: At least one of the charging parameters belonging to the second charging information depends on the health state of the electric vehicle (8) drive battery, the life of the vehicle electronic device, the external temperature and / or the user behavior of the user of the electric vehicle (8).

6. The method (S1-S8) according to any one of the preceding claims, wherein: The second charging information is stored in a data storage device of the electric vehicle (8) and is transmitted from the data storage device of the electric vehicle (8) to an energy management system (11).

7. The method (S1-S8) according to any one of claims 1 to 5, wherein: The second charging information is transmitted from the external data processing device (2) to the energy management system (11).

8. The method (S1-S8) according to any one of claims 6 to 7, wherein: The external data processing device (2) is a data processing device (2) maintained by the manufacturer of the electric vehicle (8).

9. The method (S1-S8) according to any one of the preceding claims, wherein: The real estate (1) is equipped with at least one power generation device (6), in particular a photovoltaic system, and a charging plan for an electric vehicle (8) is created by means of an energy management system (11) based on power generation forecasts of the power generation device (6).

10. The method (S1-S8) according to any one of the preceding claims, wherein: The real estate (1) is equipped with at least one stationary electrical intermediate storage device (5) and a charging plan for an electric vehicle (8) is created by means of an energy management system (11) additionally based on the storage capacity of the intermediate storage device (5).

11. Real estate (1) having at least one charging point (7) for charging an electric vehicle (8), wherein: The real estate (1) is configured to carry out a method (S1-S8) according to any one of the preceding claims.

12. The real estate (1) according to claim 11, wherein: The real estate (1) is a single-family residence or a multi-family residence.

13. System (1, 2) comprising a real estate (1) according to any one of claims 11 to 12 and an external data processing device (2) for the real estate, wherein: The system (1, 2) is configured to carry out a method (S1-S8) according to any one of claims 6 to 8.

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