EP3880509A1

EP3880509A1 - Charging system for electric vehicles

Info

Publication number: EP3880509A1
Application number: EP19786756.7A
Authority: EP
Inventors: Ingo Kledewski
Original assignee: Innogy SE
Current assignee: CCS Abwicklungs AG
Priority date: 2018-11-12
Filing date: 2019-10-09
Publication date: 2021-09-22
Also published as: WO2020099032A1; US20210261016A1; DE102018128188A1

Abstract

The invention relates to a charging system (100, 200) for electric vehicles (110), comprising a plurality of charging stations (104, 106, 206), at least one storage module (116, 216), which is at least designed to store charging station position-dependent charging curve characteristics, and at least one charging curve determination module (114, 214) which is designed to determine a charging curve for charging an electric vehicle (110), which is connected to a first charging station (104, 106, 206) of the plurality of charging stations (104, 106, 206), on the basis of position information of the first charging station (104, 106, 206) and the stored charging station position-dependent charging curve characteristics.

Description

Charging system for electric vehicles

The application relates to a charging system for electric vehicles, comprising a

Majority of charging stations. The application also relates to a method for operating a charging system.

Charging systems for charging electric vehicles are known from the prior art. Known charging systems generally have a plurality of charging stations which can be communicatively coupled to a back-end system. A charging station can have at least one charging point to which an electric vehicle to be charged can be electrically connected. For example, the charging point can be a charging cable attached to the charging station, which can be connected to a charging port of the electric vehicle. Alternatively, the charging point can be a charging port on the charging station that can be connected to a charging cable.

Before the charging process starts, a charging curve for charging the electric vehicle is usually defined. The charging curve represents the time course of the power output (or the power output) to the electric vehicle during the charging process. The charging curve can be determined, for example, by the state of charge of the electrical store to be charged (in particular the traction battery)

Disconnect the electric vehicle.

By defining the charging curve before starting the charging process, the

Charging control device, in particular of the electric vehicle, is known with which electrical power the electrical storage device is charged during the charging process. In practice, when charging, there is always the case that a charging process is interrupted or not started at all. If a charging process is interrupted, a new charging process can generally only be started with the participation of the user of the electric vehicle. Since the user

Charging is usually not on the electric vehicle, he is often not aware of a charging process. As a result, when the user returns to his or her electric vehicle, the electric vehicle determines that, contrary to its planning, the electric storage device has not been charged or has only been charged incompletely.

The object of the application is therefore to provide a charging system in which a charging process is carried out with increased reliability.

According to a first aspect, the object is achieved by a charging system for electric vehicles according to claim 1. The charging system comprises a plurality of charging stations. The charging system comprises at least one memory module. The

Memory module is at least set up for storing

charging curve position-dependent charging curve characteristics. The charging system comprises at least one charging curve determination module. The charging curve determination module is set up to determine a charging curve for charging an electric vehicle connected to a first charging station of the plurality of charging stations, based at least on position information of the first charging station and the stored charging curve position-dependent charging curve characteristics

(in particular the at least one for the charging station position of the first

Charging curve stored charging curve characteristic).

In contrast to the prior art, the reliability of the charging processes is increased in the charging system according to the application in that a charging curve can be determined which is optimized at least with regard to the charging station position. In particular, the number of discontinued can be canceled by the charging system according to the application

Charging operations are reduced. The charging system according to the application comprises a plurality of charging stations. A charging station according to the application is to be understood as a stationary device which allows the exchange of electrical energy between an electric vehicle or the electrical storage device of the electric vehicle and the device.

In particular, a charging station has at least one charging point in order to

To couple the electric vehicle, for example, to the charging station via a charging cable, so that electrical energy can be exchanged via the charging cable.

Furthermore, the charging station can comprise charging technology in order to control the charging process. A charging station can have at least one as a charging point

permanently attached charging cable and / or have at least one charging port that can be coupled with a charging cable.

The charging stations are located in different locations or positions, especially in public and partially public spaces.

In the present case, an electric vehicle is to be understood as a vehicle, in particular a car, which can be operated at least partially electrically and comprises at least one rechargeable electrical store, in particular a traction battery.

In addition, the charging system includes at least one memory module. The

Storage module can be arranged or implemented in the charging station, a back-end system of the charging system and / or a storage arrangement which is controlled, for example, by the back-end system. A plurality of charging curve characteristics for the plurality of charging stations are preferably stored in the memory module.

A charging curve characteristic according to the application is at least one

Charging station position-specific charging curve characteristic. Preferably can at least one for a plurality of charging stations

Charging curve characteristic can be stored, which is specific for the position or location of the charging station. The position can

Charging curve determination module in the form of charging station position information. A charging curve characteristic in accordance with the present application represents at least charging curve information which enables a charging curve to be determined which is optimized for the position of the charging station. In one case, a charging curve specified for the charging station position is as

Charging station position-specific charging curve characteristic provided.

According to the application, it has been recognized that at least one cause of a charging process being terminated is the specific power grid environment of a charging station. In particular, there may be network position-specific interference factors in the area of the installation site or the position of the charging station. For example, a charging station can be located at a (power grid) position, in the (immediate) network environment of which at least one electrical consumer and / or at least one electrical generator is / are arranged. For example, a switching process at the generator and / or consumer can cause a malfunction in the power grid, which in turn can cause a temporary change in the power (or current, voltage or frequency) delivered to the electric vehicle.

In the prior art, such a change regularly leads to an interruption of the charging process. The reason for this is that a charging control device, in particular of the electric vehicle, causes the charging process to be terminated if there is a certain minimum deviation between the previously agreed charging curve and the actual power or current flow, for safety reasons.

The interference factors that occur in a charging station are therefore - at least also - dependent on the respective network position of the charging station. The at least one network position-specific interference factor of a charging station is in the at least one charging curve position-dependent charging curve characteristic (in one case a charging curve) for this charging station.

In other words, the at least one charging curve position-specific or network position-specific charging curve characteristic ensures that locally occurring faults in the neighboring power supply network of a specific charging station are already taken into account when determining the charging curve to be used at this specific charging station, so that in particular a termination of one

Charging process can be avoided due to a local and, for example, regularly occurring in this area.

Preferably, each charging station can have a communication link to the

Have charge curve determination module. The charging curve determination module can be arranged in the charging station, a back-end system of the charging system and / or a separate computing device which is controlled, for example, by the back-end system.

In particular, before a charging process starts, for example when a charging request signal or a similar charging process start signal is detected, a charging curve can be determined for the respective charging station. In particular, the charging curve determination module can know the charging station position of preferably each charging station in advance. Alternatively or additionally, the charging station can give the charging curve determination module its position data in the form of a

Communicate position information or the position data can from a

Charging station identifier can be derived. With the position data or the

Position information, the position, in particular the power grid position of the charging station, is clearly identified, at least in the charging system.

In addition, the stored charging station position are dependent

Charging curve characteristics can be found in particular by the respective position information in the memory module. In particular, it can be provided that the Charging curve determination module based on a received position information or a received position data record of a charging station at which a charging process is to be carried out, the at least one associated with this charging station

Charging curve characteristic determined and, based on this at least one charging curve characteristic, determines the charging curve to be used.

In other words, based on the charging station position, the at least one charging curve characteristic can be determined (by searching the memory module), and the charging curve can then be determined based on the at least one specific charging curve characteristic. In one case, the determined charging curve characteristic may be the charging curve.

It goes without saying that when a charging station is started up, no charging curve characteristics or default charging curve characteristics can initially be stored for this charging station, with charging station position-specific charging curve characteristics being able to be stored and / or optimized by a teaching described below.

According to a first embodiment of the charging system according to the application, the stored charging curve characteristics can be dependent on the vehicle type. The

Charging curve determination module can be set up to determine the

Charging curve, at least based on the vehicle type of the connected

Electric vehicle. It has thus been recognized that a further cause for the termination of charging processes can be the charging control devices installed in the vehicle (in particular the rectifier), which can react differently to a fault in the transmitted power or the transmitted current. While in the case of a first vehicle type a first malfunction can lead to a charging process being aborted, but another malfunction cannot, this can be different in a second vehicle type. Preferably, the memory module can be set up to store vehicle curve-dependent and charging station position-dependent charging curve characteristics. The charging curve determination module may be configured to determine a charging curve for charging one of the plurality of at a first charging station

Charging stations of connected electric vehicle, based on the vehicle type of the connected electric vehicle, position information of the first charging station and the stored charging curve characteristics. In particular, the at least one can be based on the vehicle type and the position information

Charging curve characteristic (by searching the

Memory module) can be determined. The charging curve can then be determined based on the at least one charging curve characteristic. In one case, the determined charging curve characteristic can be the charging curve to be used.

According to a further embodiment of the charging system according to the application, at least one charging curve characteristic can define a positive charging curve area. In the present case, a positive charging curve area is to be understood in particular to mean that a charging curve that lies in this area can be assumed with a high probability (for example> 90%, preferably greater than 95%, particularly preferably> 98%) that the charging process will be successful, i.e. will not be canceled. The charging curve determination module can determine the charging curve based on the at least one charging curve characteristic in such a way that the determined charging curve lies in the defined positive charging curve range.

As already described, in one case it can be considered

Charging station position-dependent charging curve characteristic, in particular as a vehicle type-dependent and charging station position-dependent

Charging curve characteristic, a charging curve being stored in the memory module In this case, the determination of the charging curve comprises a search of the

Storage module according to the charging curve, which is stored for the specific vehicle type and the specific charging station position. To define the positive charging curve area, the at least one charging curve characteristic can preferably be a positive support point or a negative one

Base. In particular, a plurality of positive and / or negative support points can be provided as charging curve characteristics. A positive interpolation point can in particular indicate a point (e.g. a permissible power value at a specific point in time or time range) or a range (e.g. a permissible power value range at a specific point in time or time range) that must pass through a charging curve to be used.

A negative reference point can in particular indicate a point (e.g. an impermissible performance value at a specific time or time range) or a range (e.g. an impermissible performance value range at a specific time or time range) that a charging curve must not pass through. By specifying support points, the charging curve can be determined with certain degrees of freedom, which, for example, allow the charging curve to be corresponding to the current environmental conditions within the range of the

Modify support points defined positive charging curve area, as will be explained in more detail below.

Furthermore, to define the positive charging curve area, the at least one charging curve characteristic can be a positive (limiting) charging curve or a negative (limiting) charging curve. In particular, the positive charging curve area in which a charging curve to be used must be located can be determined by two limit charging curves. In this case too, the charging curve can be determined with

Degrees of freedom can be determined as described above.

As already described, the memory module can be replaced by the

Charging curve determination module to be searchable. According to another

Embodiment of the charging system according to the application can

Charging curve characteristics are stored in a database of the memory module, the database at least according to position information or

Charging station position, preferably by charging station position and vehicle type, is searchable. In particular, a multidimensional lookup table can be provided in which the charging curve position-dependent and in particular vehicle-type-dependent charging curve characteristics are stored in such a way that position information and in particular the vehicle type can be searched. The at least one charging curve characteristic for a specific charging station (position) and in particular the vehicle type of the vehicle to be charged can first be determined in a simple and particularly efficient manner. A charging curve can then be generated based on this.

The stored charging station-dependent and in particular

Charging curve characteristics that are dependent on the vehicle type can be determined, for example, by means of simulations or tests prior to the commissioning of a charging station and can be stored in the memory module.

According to a particularly preferred embodiment, the stored charging station position-dependent and in particular vehicle type-dependent

Charging curve characteristics are based on historical charging processes. In particular, this enables a self-learning charging system to be provided, which can be continuously improved and in particular can be automatically adapted to changes in the surrounding power grid or changes in a vehicle type.

The charging system can preferably comprise at least one recording module. The recording module can be arranged in the charging station, a back-end system of the charging system and / or a separate computing device which is controlled, for example, by the back-end system. The recording module can be configured to record charging processes carried out at the plurality of charging stations. In particular, this can be at least one Recording module (almost) record every charging process, for example with the help of suitable measuring sensors.

The charging system can include at least one evaluation module. The evaluation module, which can communicate with the recording module, can be arranged in the charging station, a back-end system of the charging system and / or a separate computing device which is controlled, for example, by the back-end system. The evaluation module can at least be set up for

charging station position-specific evaluation, preferably for

charging station position-specific and vehicle type-specific evaluations of the recorded charging processes. Based on the charging station position-specific evaluation, the charging curve characteristics in the memory module

be storable.

The evaluation module can preferably be set up to detect a successful charging process, wherein, based on the detection of a successful charging process, in particular positive charging curve characteristics in the charging process

Memory module are storable. As an alternative or in addition, the evaluation module can be set up to detect an interrupted charging process, wherein, based on the detection of an interrupted charging process, in particular negative charging curve characteristics can be stored in the memory module. An interrupted charging process is to be understood in particular as a charging process that is not started.

The charging curve characteristics can preferably be created using a data evaluation from a large number of charging processes. In this case, in particular as an evaluation module, a computing unit in the back-end system can have a large number of

analyze the charging processes that have been carried out, and in particular if the charging processes have been carried out successfully (i.e. where there is no termination), common (positive) characteristics of the charging curves used (hereinafter positive)

Characteristics called). These positive characteristics can be in the form the (positive) support points (or limit charging curves) described above are stored and / or used to determine the (positive) support points (or limit charging curves) described above, which can then be saved. This also allows existing characteristics to be further optimized.

Characteristics can be, in particular, charging power level for a charging curve, charging voltage level for a charging curve, charging current level for a charging curve, voltage increases for a charging curve, current increases for a charging curve, but also the number of negotiations between the electric vehicle and the charging station.

Preferably, the unsuccessful charging processes, in particular aborted or not started charging processes, in particular with regard to common (negative) characteristics of the charging curves,

be evaluated. If common (negative) characteristics of the charging curves are determined, these (negative) characteristics can be saved in the form of the (negative) support points (or limit charging curves) described above and / or used to determine the (negative) support points (or limit charging curves) described above which can then be saved. During operation, as previously described, a charging curve can then be determined by the charging curve determination module based on this historical data.

Alternatively or additionally, it may be possible that charging curve characteristics result from a problem that has occurred with regard to a specific one

Charging station position and in particular with regard to a specific vehicle type by a charging station operator and / or a backend provider are created and stored manually or partially automated. For example, if there are problems with loading a certain type of vehicle relatively frequently, so that a charging process cannot be successfully completed, at least one can, for example Charging curve characteristics can be determined for the specific vehicle type, with which (almost) no problems occur.

This search for a functioning charging curve can be carried out, for example, heuristically by a computing device, for example by an artificial intelligence (AI) trained there, or by a person. This at least one charging curve characteristic (for example a charging curve) can be stored in the database for the vehicle type. When a desired charging process with the specific vehicle type is used, the charging curve stored in the database can now be used. This advantageously makes it possible to prevent loading processes in which problems occur.

According to a further embodiment of the charging system according to the application, the charging system can comprise at least one vehicle type determination module. The vehicle type determination module can be arranged in the charging station, a back-end system of the charging system and / or a separate computing device which is controlled, for example, by the back-end system. The

Vehicle type determination module can be set up to determine the

Vehicle type of the electric vehicle connected to the first charging station.

The determination can in particular be carried out on at least one of the following

Processes / criteria are based:

a user identification and at least one user data record associated with the user identification (including the vehicle type),

a user identification and at least one previous charging process data record associated with the user identification (comprising the vehicle type),

vehicle type information provided by the electric vehicle, and / or

(an evaluation) via a user interface module (the

Charging station) entered vehicle type information. The vehicle type can be determined, for example, by the user being shown various selection options (vehicle types) on a graphical user interface (for example on a display at a charging station or on a mobile terminal, such as a smartphone). The different

Choices can be determined on the basis of the data stored for a user or a (unique) user identification, for example his contract data and / or a user account, or the historical data of the user, in particular the previous loading processes. For example, it can normally be provided that a user wants to charge his own vehicle. It is also conceivable that a user has only borrowed the electric vehicle.

Alternatively or additionally, it may be possible for the electric vehicle to be identified independently on the basis of an integrated identification means at the charging station.

According to a preferred embodiment, the stored

Charging curve characteristics can be (day-) time-dependent. The

Charging curve determination module can be set up to determine the

Charging curve, at least based on a charging start time. In other words, the determination of a charging curve can depend on when (e.g. on which day of the week and at what time) a charging process is started (and in particular how long it will take).

For example, due to a recurring event, for example a switching signal in the power grid, e.g. a switch on or

Turning off a street light, problems with charging during a certain time range. Such recurring events can be taken into account in the case of charging curve characteristics which are dependent on the charging station position and (day) time and which are preferably vehicle-type dependent. If, for example, a tram passing near a charging station causes the mains voltage and also the charging voltage to rise briefly, then this event of the passing train can be taken into account in advance and one can occur for the relevant period in which this recurring event occurs slightly reduced charging voltage, preferably a charging voltage reduced to 0 V, in which the charging station position-dependent and

time of day and preferably vehicle type

Charging curve characteristics can be stored. The slightly reduced charging voltage can be selected such that a brief rise in the charging voltage does not lead to a charging process being aborted due to an overvoltage.

According to a further embodiment, the stored

Charging curve characteristics depend on a charging equipment used during the charging process. Exemplary and non-final charging equipment are charging cables and charging cable adapters. The charging curve determination module can be set up to determine the charging curve based at least on the charging equipment used during the charging process.

In particular, it has been recognized that charging equipment can also influence the success of a charging process. Different charging equipment (e.g. different charging cables) can bring about different disturbances.

For example, a charging equipment can have an inductance, which is a

AC signal at a charging socket of the electric vehicle can change so that a rectifier present in the electric vehicle does not initiate the charging process or stops due to a detected overvoltage.

The information about a charging equipment used can preferably be determined in the context of an authentication of a user at the beginning of the charging process. In this way, a user can authenticate himself at a charging station at the start of the charging process. It can be queried whether charging equipment, and if so, which one is used. This allows the charging curve determination module to do this Information will be provided. It goes without saying that automatic detection can also be possible (if, for example, the charging cable is connected via a

appropriate identification means or identification means). The

Reliability of the charging processes can be further improved.

According to a further preferred embodiment of the charging system according to the application, the charging system can comprise a curve adaptation module. The curve fitting module can be in the charging station, a backend system of the

Charging system and / or a separate computing device, which is controlled, for example, by the back-end system. The curve adaptation module can be set up to adapt a specific charging curve based on at least real-time information. In particular, an adjustment, that is to say a change in the charging power level in the case of a charging curve, the charging voltage level in the case of a charging curve, the charging current level in the case of a charging curve, a voltage increase in the case of a charging curve and / or a current rise in the case of a charging curve, can be carried out within the defined positive charging curve range.

The at least one real-time information item can be selected from the group comprising:

Power grid parameters,

meteorological parameters,

Status information of the connected electric vehicle,

Status information of the first charging station.

It goes without saying that only one of the real-time information items mentioned or also two or more of the real-time information items mentioned can be taken into account in the modification.

Current or instantaneous real-time information can be, for example, a network parameter of the power network. A network parameter can, for example, be a Mains frequency, a harmonic, a voltage and / or a current. The at least one network parameter can be recorded by a measuring device and made available to the curve fitting module. It is also possible for the measuring device to be located in a charging station. By taking a network parameter into account, the current network status can be taken into account and the network can thereby be stabilized, for example.

Current real-time information can be information about the current weather situation, in particular the temperature. For example, if it is very cold or very warm, there may be problems charging an electric vehicle battery that do not occur at room temperature. For example, the maximum possible charging capacity must be limited on very warm days.

Current real-time information can also be state information of the electric vehicle to be charged, in particular a state of charge of the electric vehicle and / or an operating temperature of the electric vehicle. Such

The electric vehicle can transmit status information to a charging station or to the curve adaptation module at the beginning of the charging process. The charging station can also determine such status information, for example.

Furthermore, current real-time information can be status information of a charging station, such as the electrical power available or the operating temperature.

Another aspect of the application is a method of operating a

Charging system, in particular a previously described charging system, the charging system comprising a plurality of charging stations and at least one storage module in which (optionally vehicle type-dependent and) charging station position-dependent charging curve characteristics are stored, the method comprising:

Determining a charging curve for charging an electric vehicle connected to a first charging station of the plurality of charging stations, based on position information of the first charging station and the stored charging curve characteristics.

The determination can preferably also be based on the vehicle type of the

connected electric vehicle.

It goes without saying that the modules and units described above can each be formed at least partially by hardware elements and / or software elements.

The characteristics of the charging systems and processes can be freely combined with one another. In particular, features of the description and / or the dependent ones

Claims, even with complete or partial circumvention of features of the independent claims, alone or freely combined with one another, be inventive.

There are now a multitude of options for designing and developing the charging system and the method according to the application. For this purpose, reference is made on the one hand to the claims subordinate to the independent claims, and on the other hand to the description of exemplary embodiments in conjunction with the drawing. The drawing shows:

Fig. L is a schematic view of an embodiment of a

Charging system according to the present application,

Fig. 2 is a schematic view of another embodiment of a

Charging system according to the present application,

3 shows a diagram with an exemplary charging curve profile according to the present application, and 4 shows a diagram of an exemplary embodiment of a method according to the present application.

The same reference numerals are used below for the same elements.

FIG. 1 shows a schematic view of an exemplary embodiment of a

Charging system 100 according to the present application. The charging system 100 in the present case comprises a plurality of charging stations 104, 106, a storage module 116 and a charging curve determination module 114. Two charging stations 104, 106 are shown here by way of example. It goes without saying that three or more charging stations can be provided in other variants of the registration.

In the present case, the storage module 116 and the charging curve determination module 114 are arranged or implemented in a back-end system 102. It goes without saying that, in other variants of the registration, at least one of these modules can also be arranged or implemented in a charging station.

As can be seen, the charging stations 104, 106 are connected to the back-end system 102 (e.g. one or more servers) via a (wireless and / or wired) communication network 108. The respective

Elements 102, 104, 106 have suitable communication modules 118, 126.

Each charging station 104, 106 has at least one charging point 124, for example in the form of an attached charging cable, and a charging controller 122. Each

Charging station 104, 106 is for exchanging electrical power with one

connected electric vehicle 110 set up as part of a charging process. In particular, a charging station 104, 106 may have electrical power on

Deliver electric vehicle 110 to charge a vehicle battery. The electrical energy or power that can be emitted is obtained from each charging station 104, 106

Power network 128, 129, in particular power supply network 128, 129. In the Electric vehicle 110 may also have a charge controller (not shown),

in particular comprising a rectifier.

The exemplary charging stations 104, 106 are arranged at positions spaced apart from one another, in particular power grid positions. In other words, the power grid environment 128, in particular the producers and / or consumers (not shown) arranged adjacent to a first charging station 104, can differ from the power grid environment 129, in particular the producers and / or consumers arranged (not shown) adjacent to the charging station 106, differentiate. In particular, different power grid environments can cause different interference factors (for example, due to switching operations), which could lead to a charging process being aborted.

According to the application, the number of interruptions can at least be reduced by creating a charging curve for charging an electric vehicle 110 at a certain charging station on at least one

charging station position-dependent charging curve characteristic based. The charging curve represents the time course of the power delivery (and / or the

Voltage curve and / or current curve) to the electric vehicle 110 during the charging process.

If, for example, an electric vehicle 110 is connected to a first charging station 104 in order to start a charging process, this can be detected in a known manner by the charging controller 122 of the first charging station 104. A charging curve for the charging process can then be determined by the charging curve determination module 114.

For example, a corresponding request to the

Charging curve determination module 114 are transmitted from the first charging station 104, the request being, for example, a charging station identifier (for example signature, unique address, unique code etc.) or position information, for example a Charging station position record of the charging station 104 may include. The request can preferably also contain information (for example the user identification and / or an explicit vehicle type specification) from which the vehicle type of the electric vehicle 110 to be charged can at least be derived.

In addition, further data can be included in the request, such as a time specification and / or an indication of any charging equipment used.

This can be used to determine the charging curve to be used

Charging curve determination module 114, in particular, access memory module 116 and search a database 120 implemented therein, in which a plurality of charging curve position-dependent charging curve characteristics for the plurality of charging stations are stored. The database 120 can preferably be formed in the form of a lookup table, which at least allows the table to be searched as a function of the position information or the charging station position of the respective charging station 104, 106. Preferably, an additional

Searching the table depending on the vehicle type, the current time (e.g. day of the week plus time of day) and / or the charging equipment used.

Based on the information contained in the request, in particular based on the position information of the first charging station 104, the charging curve determination module 114 determines the at least one

Charging curve characteristic by searching for charging curve characteristics that are specific to the first charging station 104, that is to say depend on the position information.

As an example, it is assumed here that the at least one

Charging curve characteristic (already) is a charging curve. After the charging curve has been determined, it can be transmitted to the first charging station 104 and can then be used for the charging process with the connected electric vehicle 110.

Since in the loading curve provided the peculiarities of at least the

Charging environment 104, preferably also the special features of the vehicle type of the electric vehicle 110 to be charged, the charging process can be carried out successfully (at least with a significantly higher probability).

FIG. 2 shows a schematic view of a further exemplary embodiment of a charging system 200 according to the present application. To avoid

Repetitions are essentially only explained in the following, the differences from the exemplary embodiment according to FIG. 1 and otherwise reference is made to the explanations relating to FIG. 1.

The charging system 200 comprises a plurality of charging stations 206, only one charging station 206 being shown here for a better overview. Furthermore, the charging system 200 includes the storage module 216 and the

Charging curve determination module 214, a recording module 230

Evaluation module 232, a vehicle type determination module 234 and one

Curve fitting module 236. In the present case, all of these modules 214, 216, 230, 232, 234, 236 are implemented in the back-end system 202.

It goes without saying that at least one of these modules (at least partially) is also arranged in another device, for example a charging station, or

can be implemented. Furthermore, further modules (not shown) can be provided, such as a charging equipment determination module, a time determination module, etc.

The operation of the charging system 200 is described in more detail below with the aid of FIGS. 3 and 4. FIG. 3 shows exemplary charging curves 354, 356, 358 that are dependent on the charging station position and on the type of vehicle Diagram of the power to be output during the charging process at a specific charging station Y when charging an electric vehicle of the type X (can also

Voltage and / or current) versus time.

Furthermore, there are a plurality of positive charging station position-dependent and vehicle type-dependent charging curve characteristics 350 and negative charging station position-dependent and vehicle type-dependent

Charging curve characteristics 360 are provided, which are stored in particular in the database 220. In the present exemplary embodiment, in particular a plurality of charging curve characteristics in the form of support points 350, 360 or regions 350, 360 are provided, which define a positive charging curve region 352, which is indicated schematically by the dashed lines . The dashed lines are in particular two positive limit charging curves. It goes without saying that two negative limit charging curves can also be provided. In this case, the limit charging curves are no longer part of the positive charging curve area.

In particular, it can be seen that a to be used and by the

Charging curve determination module 214, charging curve 354, 356, 358 to be determined must pass through the positive support points 350 or regions 350, while these loading curves 354, 356, 358 must not pass through negative support points 360 or regions 360. The charging curve determination module 214 can in particular be used to generate a charging curve 354, 356, 358 based on the

charging station position-dependent and vehicle type-dependent

Charging curve characteristics can be set up.

FIG. 4 shows an exemplary method for operating the exemplary charging system 200 according to FIG. 2. In a first step 401, it can be detected (in particular in conventional form) that an electric vehicle is connected to a vehicle

Charging station 206 is to be charged. With a corresponding detection, the charging station 206 can send a previously described request to the backend 202 in order to request a charging curve for the charging process. In the next step 402, the charging curve to be used can be determined.

For example, the vehicle type determination module 234 can determine the vehicle type of the vehicle to be loaded from at least one indication contained in the request (or a further request received via another channel (e.g. from a user terminal of the user)). For example, the specification can be a user identifier, with the aid of which the vehicle type determination module 234 can access the user account of the user and / or previous loading processes. The user account and / or previous loading processes can include information about the vehicle type. Alternatively or additionally, the specification can be a vehicle type specification.

Furthermore, the charging curve determination module 214 can determine the charging station position of the charging station 206 at which the charging process is to be carried out.

For example, position information, e.g. a

Charging station position data record, i.e. a clear indication of the charging station position (e.g. geographic coordinates, such as GPS data, power grid-specific coordinates, etc.) may be included in the request or position information may be derived from a charging station identifier contained in the request. For example, a database can be provided in which all charging station identifiers of the

Charging system are stored together with the respective charging station position data set or the respective position information. In one case, the

Charging station identifier itself the position information.

Based on this information (ie vehicle type and charging station position), the charging curve determination module 214 accesses in particular the database 220 and searches it for the charging curve characteristics 350, 360 which are assigned to this vehicle type and this position information. Based on these charging curve characteristics 350, 360, the charging curve determination module 214 can determine, in particular generate, a charging curve, for example a charging curve 356. The generation includes the creation of the loading curve in such a way that this passes certain positive nodes 350 and avoids the negative nodes.

Optionally, it can be provided that the curve adaptation module 236 adjusts the determined charging curve based on at least one real-time information provided to the curve adaptation module 236. Exemplary and non-conclusive real-time information, which can lead to an adaptation or change of the charging curve 356, are measured power network parameters (e.g. network frequency, e.g. of the surrounding network 228, network voltage, e.g. of the surrounding network 228 etc.), meteorological parameters (e.g. ambient temperature of the charging station 206), status information of the connected electric vehicle (e.g.

Operating temperature) and status information of the charging station 206 (e.g.

Operating temperatur).

This information can be acquired, for example, by measuring devices that are arranged in the charging station or the electric vehicle and sent to the

Curve fitting module 236 are transmitted. Exemplary customized

Charging curves are charging curves 354 and 358. As can be seen, the adaptation of a charging curve is preferably carried out in such a way that the adapted charging curve also lies in the positive charging curve region 352. In other variants, loading curve characteristics for different ones can already be found in the database

Real-time information values can be stored.

The determined charging curve, for example charging curve 358, can then be transmitted to the requesting charging station 206. In step 403, the charging process can then be carried out using the determined charging curve 358.

Optionally, in step 404, which can in particular be carried out at least partially in parallel with step 403, the loading process carried out in step 403 can be recorded by the recording module 230. In this way, for example, suitable sensors can monitor the power exchange actually exchanged (and / or current curve, voltage curve etc.) and transmit it to the recording module 230.

The evaluation module 232 can preferably in step 405, which can be carried out at least partially in parallel with step 404, the recorded

Evaluate the charging process. This can include, in particular, a detection of whether the charging process has been carried out successfully or whether the charging process has been terminated.

Depending on the evaluation result, at least one previously described charging curve characteristic can be adapted or created. In particular, in the case of successfully carried out charging processes (i.e. in which no termination has taken place), common (positive) characteristics of the charging curves used can be used

(hereinafter referred to as positive characteristics) can be determined in the evaluation and can already be used to generate new support points and / or to adapt

existing support points can be used.

These can then be stored in the database 220 in step 406. Aborted charging processes can be evaluated in a corresponding manner. As a result, the charging system 200, in particular the stored ones

Charging curve characteristics, continuously optimized.

It is understood that the determination of at least one

Charging curve characteristics can also only be based on the charging station position or on other information such as the desired charging start time (e.g. recorded by a time module), a charging equipment used (e.g. specific charging cable and / or a specific charging adapter).

Claims

Patent claims

1. charging system (100, 200) for electric vehicles (110), comprising:

a plurality of charging stations (104, 106, 206),

at least one memory module (116, 216), at least set up for storing charging station position-dependent charging curve characteristics, and

at least one charging curve determination module (114, 214), configured to determine a charging curve for charging an electric vehicle (110) connected to a first charging station (104, 106, 206) of the plurality of charging stations (104, 106, 206), based on a position information of the first charging station (104, 106, 206) and the stored

charging curve position-dependent charging curve characteristics.

2. Loading system (100, 200) according to claim 1, characterized in that

the stored charging curve characteristics are dependent on the vehicle type, and the charging curve determination module (114, 214) is set up to determine the charging curve based at least on the vehicle type of the connected electric vehicle (110).

3. charging system (100, 200) according to claim 1 or 2, characterized in that at least one charging curve characteristic defines a positive charging curve area,

wherein the charging curve determination module (114, 214) determines the charging curve based on the at least one charging curve characteristic such that the determined charging curve lies in the defined positive charging curve area.

4. Loading system (100, 200) according to claim 3, characterized in that at least one to define the positive charging curve area

Charging curve characteristic is a positive support point or a negative support point,

and or

at least one to define the positive charging curve area

Charging curve characteristic is a positive limit charging curve or a negative limit charging curve.

5. Loading system (100, 200) according to one of the preceding claims, characterized

characterized that

the charging curve characteristics in a database (120, 220) of the

Memory module (116, 216) are stored, at least after one

Position information is searchable.

6. loading system (100, 200) according to any one of the preceding claims, characterized

characterized that

the charging system (100, 200) comprises at least one recording module (230), set up for recording charging processes carried out at the plurality of charging stations (104, 106, 206), and

the charging system (100, 200) comprises at least one evaluation module (232), at least set up for the charging station position-specific evaluation of the recorded charging processes,

wherein the charging curve characteristics can be stored in the storage module (116, 216) based on the charging station position-specific evaluation.

7. Loading system (100, 200) according to claim 6, characterized in that

the evaluation module (232) is set up to detect a successful charging process, based on the detection of a successful one

Charging process in particular positive charging curve characteristics in the

Memory module (116, 216) can be stored,

and or the evaluation module (232) is set up to detect an interrupted charging process, based on the detection of an interrupted one

Charging process in particular negative charging curve characteristics in the

Storage module (116, 216) can be stored

8. Loading system (100, 200) according to one of the preceding claims 2 to 7, characterized in that

the charging system (100, 200) comprises at least one vehicle type determination module (234), configured to determine the vehicle type of the electric vehicle (110) connected to the first charging station (104, 106, 206), based on:

a user identification and at least one user data record assigned to the user identification,

a user identification and at least one previous charging process data record assigned to the user identification,

one provided by the electric vehicle (110)

Vehicle type information,

and or

one entered via a user interface module

Vehicle type information.

9. loading system (100, 200) according to any one of the preceding claims, characterized

characterized that

the stored charging curve characteristics are time-dependent, and

the charging curve determination module (114, 214) is set up to determine the charging curve based at least on a charging process start time.

10. loading system (100, 200) according to any one of the preceding claims, characterized

characterized that

the stored charging curve characteristics are dependent on a charging equipment used during the charging process, and the charging curve determination module (114, 214) is set up to determine the charging curve based at least on the charging equipment used during the charging process.

11. Loading system (100, 200) according to one of the preceding claims, characterized

characterized that

the charging system (200) comprises a curve adaptation module (236), configured to adapt a specific charging curve based on at least real-time information,

wherein the at least one real-time information is selected from the group comprising:

Power grid parameters,

meteorological parameters,

Status information of the connected electric vehicle (110), status information of the first charging station (104, 106, 206).

12. A method for operating a charging system (100, 200), in particular a charging system (100, 200) according to one of the preceding claims, wherein the charging system comprises a plurality of charging stations (104, 106, 206) and at least one memory module (116, 216) includes, in which at least

Charging station position-dependent charging curve characteristics are stored, the method comprising:

Determining a charging curve for charging an electric vehicle (110) connected to a first charging station (104, 106, 206) of the plurality of charging stations (104, 106, 206), based at least on position information of the first charging station (104, 106, 206) and the saved

Charging curve characteristics.