DE102023000543A1 - Method for determining an adaptive charging profile for an at least partially electrically operated motor vehicle and corresponding assistance system - Google Patents

Abstract

The present invention relates to a method for determining an adaptive charging profile (P) and an adaptive discharging profile (D) for an at least partially electrically operated motor vehicle (10) by an assistance system (12) of the motor vehicle (10), comprising the steps of acquiring current status information (20, 22) of the motor vehicle (10) by a detection device (16) of the assistance system (12); Providing a driver profile (24) of a driver of the motor vehicle (10) by an electronic computing device (18) of the assistance system (12); Providing historical information (26) by the electronic computing device (18); and determining the adaptive charging profile (P) depending on the current status information (20, 22) and the driver profile (24) and the historical information (26) by the electronic computing device (18). The present invention also relates to an assistance system (12).

Description

The present invention relates to the field of motor vehicles. In particular, the present invention relates to a method for determining an adaptive charging and discharging profile for an at least partially electrically operated motor vehicle by means of an assistance system of the motor vehicle and a corresponding assistance system.

It is known from the prior art that at least partially electrically operated motor vehicles can be charged and discharged with electrical energy while they are connected to the power grid. Therefore, a charge and discharge profile can be provided to efficiently charge and discharge the battery of the motor vehicle.

It is an aim of the present invention to provide a method and an assistance system with which a more efficient way of charging and discharging a battery of the motor vehicle can be provided. In some embodiments, the aim of the present invention can also provide a method and an assistance system with which a more efficient way of discharging a battery of the motor vehicle can be provided.

This goal is achieved by a method and an assistance system according to the independent claims. Advantageous shapes or configurations are shown in the dependent claims.

One aspect of the present invention relates to a method for determining an adaptive charging profile for an at least partially electrically operated motor vehicle by an assistance system of the motor vehicle. Current status information of the motor vehicle can be recorded by a detection device of the assistance system. A driver profile of a driver of the motor vehicle can be provided by an electronic computing device of the assistance system. In addition, historical information can be provided by the electronic computing device. The adaptive charging profile is determined by the electronic computing device depending on the current status information and the driver profile as well as the historical information.

Therefore, a method for more reliable charging and discharging of an electrically powered motor vehicle is provided, which is based on urgency and additional information derived or extracted from the assistance system. In certain embodiments, the method may include an artificial intelligence solution.

In particular, more efficient control of the charging time of the electric vehicle can be achieved using vehicle-specific information such as: B. information from the assistance system, the detection device and / or the electronic computing device can be provided. The vehicle-specific information may include, for example, history, location, driver profile, battery health, time of day, cloud data and/or environmental data. In some embodiments, the key information for selecting the charging and discharging profile may include the urgency and location of the activity.

The present invention provides a convenient and efficient method for charging and discharging the battery of an electric vehicle taking into account the profile to increase health status and compensate for the degradation caused by vehicle-to-grid usage.

For example, the decision whether to charge or discharge the battery can be made automatically based on a set of rules and user preferences.

According to one embodiment, the electronic computing device may include artificial intelligence for determining the adaptive charging and discharging profile.

In another embodiment, the current status information may include at least one of information about the health status of the battery, a time of day, environmental information or a current location of the motor vehicle.

In another embodiment, the historical information may include a charging profile of the motor vehicle developed in the past.

According to another embodiment, network information about the charging capacity of a charging station for charging the motor vehicle can be taken into account.

In another embodiment, the adaptive charging profile may include at least one of the following profiles: a fast charging profile, an optimal charging profile, or a discharging profile.

In particular, the method can be a computer-implemented method. Therefore, a further aspect of the present invention may relate to a computer program product that includes means for carrying out the method. Further, the present invention may relate to a computer-readable storage medium comprising at least the computer program product according to the preceding aspect. For example, the present invention may include a non-transitory computer-readable medium having instructions that, when executed by processing circuitry, may cause the processing circuitry to perform the method.

A further aspect of the present invention relates to an assistance system for determining an adaptive charging and discharging profile for an at least partially electrically operated motor vehicle, comprising at least one detection device, an electronic computing device and a communication device, wherein the assistance system can be configured to carry out a method according to the preceding aspect . In particular, the procedure is carried out by the assistance system.

Another aspect of the present invention relates to a motor vehicle that includes at least the assistance system. The motor vehicle can be configured as an at least partially electrically operated motor vehicle or as a fully electrically operated motor vehicle.

Advantageous forms of the method are to be viewed as advantageous forms of the assistance system and the motor vehicle. Both the assistance system and the motor vehicle can therefore include means for carrying out the method.

Further advantages, features and details of the present invention emerge from the following description of preferred embodiments and from the drawings. The features and combinations of features mentioned previously in the description as well as the features and combinations of features mentioned in the following description of the figures and/or only shown in the figures can be used not only in the combination specified in each case, but also in any other combination or alone, without departing from the scope of the present invention.

The novel features and characteristics of the present disclosure are set forth in the appended claims. The accompanying drawings, which are a part of this present disclosure, illustrate exemplary embodiments and, together with the description, serve to explain the principles disclosed. The same numbers are used in the figures to refer to the same features and components. Some embodiments of a system and/or methods in accordance with embodiments of the present subject matter are described below, by way of example only, and with reference to the accompanying figures.

• In der 1 eine schematische perspektivische Ansicht in Übereinstimmung mit einer Ausführungsform eines Kraftfahrzeugs, das eine Ausführungsform eines Assistenzsystems umfasst;
• In der 2 eine weitere schematische perspektivische Ansicht in Übereinstimmung mit einer Ausführungsform eines Kraftfahrzeugs, das eine Ausführungsform des Assistenzsystems umfasst;
• In der 3 ein Flussdiagramm in Übereinstimmung mit einer Ausführungsform des Verfahrens;
• In der 4 ein weiteres Flussdiagramm in Übereinstimmung mit einer Ausführungsform des Verfahrens; und
• In der 5 ein weiteres Flussdiagramm in Übereinstimmung mit einer Ausführungsform des Verfahrens.

The drawings show:

• In the 1 a schematic perspective view in accordance with an embodiment of a motor vehicle that includes an embodiment of an assistance system;
• In the 2 a further schematic perspective view in accordance with an embodiment of a motor vehicle that includes an embodiment of the assistance system;
• In the 3 a flowchart in accordance with an embodiment of the method;
• In the 4 another flowchart in accordance with an embodiment of the method; and
• In the 5 another flowchart in accordance with an embodiment of the method.

In the figures, the same elements or elements with the same function are identified by the same reference numerals.

In this document the word “exemplary” is used in the sense of “serving as an example, instance or illustration”. Any embodiment or implementation of the subject matter described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments.

While various modifications and alternative forms are possible in the present disclosure, specific embodiments thereof are exemplified in the drawings and described in detail below. Therefore, it is to be understood that the present disclosure is not intended to be limited to the particular forms disclosed; rather, all modifications, equivalents and alternatives that fall within the scope of the present disclosure are intended to be covered.

The terms "comprises", "comprising" or other variations thereof are intended to cover a non-exclusive inclusion such that a device, apparatus or method that includes a list of components or steps not only includes those components or steps, but may include other components or steps not expressly mentioned are listed or are inherent in such a facility, device or process. In other words, one or more elements in a system, method or device followed by "comprises" or "comprises" do not exclude, without further limitation, the existence of other or additional elements in the system, method or device.

In the following detailed description of the embodiment of the present disclosure, reference is made to the accompanying drawings, which are a part of this document, and in which are shown, by way of illustration, certain embodiments in which the present disclosure may be practiced. These embodiments have been described in sufficient detail to enable those skilled in the art to practice the present disclosure, and it is to be understood that other embodiments may be used and changes may be made without departing from the scope of the present disclosure. The following description is therefore not to be taken in a limiting sense.

1 shows a schematic perspective view in accordance with an embodiment of a motor vehicle 10, which includes at least one assistance system 12. The motor vehicle 10 is at least partially operated electrically. The motor vehicle 10 can also be operated completely electrically. The motor vehicle 10 includes at least one battery 14. The battery 14 can also be referred to as an electrical energy storage device.

The assistance system 12 can include at least one detection device 16 and an electronic computing device 18.

In particular, it shows 1 a method for determining an adaptive charging profile P for the motor vehicle 10. The detection device 16 can detect current status information 20, 22. For example, the detection device 16 can collect information about the health status of the battery, a time of day, an environmental data input, a cloud data input or a current location of the motor vehicle; a driver profile 24 of a driver of the motor vehicle 10 can be provided by the electronic computing device 18. In addition, historical information 26 may be provided by the electronic computing device 18. The adaptive charging profile P can be determined by the electronic computing device 18 based on the current status information 20, 22, the driver profile 24 and the historical information 26.

In particular, the electronic computing device 18 may include an artificial intelligence 28 for determining the adaptive charging profile P.

In addition, the current status information 20, 22 may include information about the health status of the battery, the time of day, the environmental information and/or the current location of the motor vehicle.

In another embodiment, the historical information 26 may be a charging profile of the motor vehicle 10 developed in the past. The empirical data may include, for example, data from a previous hour(s), from a previous day(s), a previous month(s), and/or from a previous year(s). In addition, the adaptive charging profile P may include a fast charging profile 30 and an optimal charging profile 32. In addition, information from the network 32, such as. B. the loading capacity of a charging station for charging the motor vehicle 10 can be taken into account. In other embodiments, the information from the network 32 or the network information may include power load conditions, battery storage conditions, power flow conditions, and/or other relevant information.

In particular, more efficient control of charging time using information from the electronic computing device 18 may include historical information, location data, the driver profile 24, battery health, time of day, cloud data, and environmental data.

Like in the 1 shown, the range of the motor vehicle 10 can be predicted in a main loop by an in-vehicle prediction algorithm that notifies the driver via an existing display device and / or acoustic prompts, if activated. The in-vehicle prediction algorithm captures historical and/or driver profile information from the electronic computing device 18, such as: B. the charge status, the health status of the battery, the battery temperature, the planned route or other characteristics.

The vehicle assistance system 12 may recommend an optimal location for charging the motor vehicle 10 to the driver based on the context. In some embodiments, the vehicle assistance system 12 may provide information about urgency, time of day, environmental conditions, driver condition, charging history rie, the driver's discharge history and/or profile and select an adaptive charging profile P that is appropriate for the location and urgency of the charging process.

For example, the driver can plug in a charging plug or connect to a wireless charging system if the motor vehicle 10 is equipped with wireless charging. The driver can select a charging profile on the vehicle's infotainment system interface and charging can begin. In another embodiment, the driver's selection may be incorporated into the determination of the adaptive charging profile P and the adaptive discharging profile D, as in 2 shown, included.

2 shows a further schematic perspective view according to another embodiment of a motor vehicle 10 with at least one assistance system 12 and a battery 14. The assistance system 12 can include at least one detection device 16 and an electronic computing device 18.

2 shows a further embodiment of a method for determining an adaptive charging profile P and an adaptive discharging profile D for the motor vehicle 10. The detection device 16 can detect current status information 20, 22. For example, the detection device 16 can collect information about the health status of the battery, a time of day, an environmental data input, a cloud data input or a current location of the motor vehicle; a driver profile 24 of a driver of the motor vehicle 10 can be provided by the electronic computing device 18. In addition, information 26 about historical data can be provided by the electronic computing device 18. The adaptive charging profile P and the adaptive discharging profile D may be determined based on the current status information 20, 22, the driver profile 24, the historical information 26 by the electronic computing device 18 and/or related information. The determination of the adaptive charging profile P and the adaptive discharging profile D can, for example, be based on the amount of energy required to charge the motor vehicle 10, the time of the charging or discharging process or the costs of the charging service.

In particular, the electronic computing device 18 may include an artificial intelligence 28 for determining the adaptive charging profile P and the adaptive discharging profile D.

In addition, the current status information 20, 22 may include information about the health status of the battery, the time of day, the environmental information and/or the current location of the motor vehicle 10. In some embodiments, the environmental information may include a charging current flow 38 and/or a discharging current flow 40.

In another embodiment, the historical information 26 may be a charging profile of the motor vehicle 10 developed in the past. The empirical data may include, for example, data from a previous hour(s), from a previous day(s), a previous month(s), and/or from a previous year(s). In addition, the adaptive charging profile P or the adaptive discharging profile may include a fast charging profile 30 and/or an optimal charging profile 32. In addition, information from the network 32, such as. B. the loading capacity of a charging station for charging the motor vehicle 10 can be taken into account.

In particular, more efficient control of charging time using information from the electronic computing device 18 may include historical information, location data, the driver profile 24, battery health, time of day, cloud data, and environmental data.

Like in the 1 and 2 shown, the range of the motor vehicle 10 can be predicted in a main loop by an in-vehicle prediction algorithm that notifies the driver via an existing display device and / or acoustic prompts, if activated. The in-vehicle prediction algorithm captures historical and/or driver profile information from the electronic computing device 18, such as: B. the charge status, the health status of the battery, the battery temperature, the planned route or other characteristics.

The vehicle assistance system 12 may recommend an optimal location for charging the motor vehicle 10 to the driver based on the context. In some embodiments, the vehicle assistance system 12 may collect information about the driver's urgency, time of day, environmental conditions, condition, charging history, discharging history, and/or driver profile and select an adaptive charging profile P that is appropriate for the location and urgency the charging process is appropriate.

In the 1 and 2 There may be at least two charging options based on the charging location. A first option can be a home charging option. Used by motor vehicle 10 If urgent status is detected, the charging power can be set to a maximum value available from the network. If no urgent status is detected, the charging power can be set to a normal rate, which is predefined based on a standard profile. A second option can be a remote charging profile, the charging power can be set to the maximum available input power available from the selected charging station. In certain embodiments, the power drawn from the charging station may be determined based on the adaptive charging profile P, which e.g. B. is selected based on the urgency of charging and discharging and the battery parameters. The battery parameters may include, for example, the state of charge, the state of health, the charging power and/or other values to extend the life of the battery. To determine the adaptive charging profile P and the discharging profile D, a charging profile corresponding to the prior art can be used.

In the charging options, when vehicle-to-grid (V2G) communication is available and activated by the driver, the motor vehicle 10 may feed energy back into the grid according to the adaptive discharge profile D when the discharge process dependencies are within acceptable operating thresholds. The dependencies of the discharging process can include, for example, the health status and the charge status of the battery. During the discharging process, the charge level, the discharge profile D and the remaining discharge time can be checked periodically to enable recharging if desired for the remaining time that the vehicle is at the charging station.

3 shows a flowchart according to an embodiment of the method. The method can be started in a first step S3.1. In a second step S3.2, a query of the range forecast of the assistance system 12 can be determined. In a third step S3.3, the range forecast is checked to determine whether the range forecast is low. If the range forecast is low, a fourth step S3.4 is carried out in which the driver is informed of a charging location and a list of the adaptive charging profile P can be created. For this purpose, inputs 34 are recorded for determining the charging location and the adaptive charging profile P. In some embodiments, inputs 34 may include an urgency status, historical information, and/or a price. If the range forecast is not low after the third step S3.3, the method can return to the second step S3.2.

4 shows another flowchart according to an embodiment of the method. The method can be started in a first step S4.1. In a second step S4.2, a wireless charging option can be checked. When the wireless charging option is initiated, a third step S4.3 may be performed in which the location of the vehicle is checked. If wireless charging is not initiated, the wired charging option can be checked. If a charging plug is inserted in the fourth step S4.4, the third step S4.3 can be carried out, in which the location of the vehicle is checked.

If the motor vehicle 10 is at home, an urgent status can be checked in a fifth step S4.5. If there is an urgent status, a sixth step S4.6 can be carried out, in which the maximum permissible power for charging can be provided. Starting from the third step S4.3, if the motor vehicle 10 is not at home, an eighth step S4.8 can be carried out, in which the availability of a vehicle-to-network network is checked. If the motor vehicle 10 does not have access to an available vehicle-to-grid network, the maximum permissible power for charging can be provided in a ninth step S4.9. If the motor vehicle 10 has access to the available vehicle-to-network network in the eighth step S4.8, the connection to the vehicle-to-network network can be checked in a seventh step S4.7. In addition, the seventh step S4.7 can be carried out if the status in the first step S4.5 is not urgent. For example, the method may include that the electronic computing device 18 may determine whether the feature that allows the motor vehicle 10 to connect to the vehicle-to-grid connection is enabled or disabled.

Starting from the seventh step S4.7, if the connection to the vehicle-to-grid network is deactivated, the optimal profile for charging can be maintained, which is presented in a tenth step S4.10. If the connection to the vehicle-to-grid network is activated, an eleventh step S4.11 can be carried out in which the health status of the battery can be checked. For example, the battery 14 may include an optimal health state, and the optimal health state of the battery 14 may be determined. If the health status of the battery 14 is optimal, a twelfth step S4.12 can be carried out, in which the charge status of the battery 14 can be checked. If the state of charge of the battery 14 is optimal, a thirteenth step S4.13 can be carried out in which a discharge profile from the list of adaptive discharge profiles can be updated. After the thirteenth th step S4.13, a fourteenth step S4.14 can be carried out, in which the remaining time in which the vehicle is at the loading location can be checked, which is in the 5 is described in more detail.

Starting from the eleventh step S4.11 or the twelfth step S4.12, if the health status of the battery is not optimal and / or the state of charge of the battery 14 is not optimal, a fifteenth step S4.15 can be carried out in which the driver based on the data collected, such as: B. the health status of the battery and the charge status of the battery 14, can be notified and warned. After the fifteenth step S4.15, a sixteenth step S4.16 can be carried out, in which the charging profile from the list of adaptive charging profiles P is updated. A seventeenth step S4.17 can then be carried out in which the motor vehicle 10 and/or the battery 14 is charged based on the determined adaptive charging profile P.

5 shows another flowchart according to an embodiment of the method. The method can be started in a first step S5.1. In a second step S5.2, the remaining time in which the vehicle is at the charging location can be checked. If there is still enough time remaining, a third step S5.3 can be carried out, in which a discharge limit of the battery 14 can be checked. If the discharge limit of the battery 14 is not reached, a fourth step S5.4 can be carried out in which the battery 14 can be discharged. If the discharge limit of the battery 14 is reached in the third step S5.3 or if there is no longer enough time left at the charging location in the second step S5.2, a fifth step S5.5 can be carried out in which the charging profile is selected from the list of adaptive charging profiles P can be updated. After updating the charging profile in the fifth step S5.5, a sixth step S5.6 can be carried out in which the motor vehicle 10 can be charged. In some embodiments, the motor vehicle 10 may be recharged as needed for the remaining time the vehicle is at the charging location based on periodic checks of the charge level and remaining discharge time.

Reference symbols

10

motor vehicle

12

Assistance system

14

battery

16

Detection device

18

electronic computing device

20

current status information

22

current status information

24

Driver profile

26

historical information

28

artificial intelligence

30

Fast charging profile

32

optimal charging profile

34

input

36

network

38

Charging current flow

40

Discharge current flow

P

adaptive charging profile

D

adaptive discharge profile

S3.1 - S5.6

Steps of the invention

Claims (8)

Method for determining an adaptive charging profile (P) and an adaptive discharging profile (D) for an at least partially electrically operated motor vehicle (10) by an assistance system (12) of the motor vehicle (10), comprising the following steps: - Detecting current status information (20, 22) of the motor vehicle (10) by a detection device (16) of the assistance system (12); - Providing a driver profile (24) of a driver of the motor vehicle (10) by an electronic computing device (18) of the assistance system (12); - Providing historical information (26) by the electronic computing device (18); and - Determining the adaptive charging profile (P) and the adaptive discharging profile (D) depending on the current status information (20, 22), the driver profile (24) and the historical information (26) by the electronic computing device (18). Procedure according to Claim 1 , characterized in that the electronic computing device (18) comprises an artificial intelligence (28) for determining the adaptive charging profile (P) and the adaptive discharging profile (D). Procedure according to Claim 1 or 2 , characterized in that the current status information (20, 22) comprises at least one of the following information: information about the health status of the battery, a time of day, environmental information or a current location of the motor vehicle (10). Procedure according to one of the Claims 1 until 3 , characterized in that the historical information (26) is a charging profile of the motor vehicle (10) developed in the past. Procedure according to one of the Claims 1 until 4 , characterized in that network information about a charging capacity of a charging station for charging the motor vehicle (10) is taken into account. Procedure according to one of the Claims 1 until 5 , characterized in that the adaptive charging profile (P) comprises at least one of a rapid charging profile (30) or an optimal charging profile (32) and the adaptive discharging profile (D) comprises at least one of a rapid discharging profile or an optimal discharging profile. Assistance system (12) for determining an adaptive charging profile (P) and an adaptive discharging profile (D) for an at least partially electrically operated motor vehicle (10), comprising at least one detection device (16) and an electronic computing device (18), wherein the assistance system (12) to carry out a procedure according to one of the Claims 1 until 6 is configured. A non-transitory computer-readable medium containing instructions which, when executed by a processing circuit, cause the processing circuit to perform a method according to one of Claims 1 until 6 to carry out.

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