GB2618125A - A method for determining an adaptive charging profile for an at least partially electrically operated motor vehicle as well as a corresponding assistance - Google Patents
A method for determining an adaptive charging profile for an at least partially electrically operated motor vehicle as well as a corresponding assistance Download PDFInfo
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- GB2618125A GB2618125A GB2206212.9A GB202206212A GB2618125A GB 2618125 A GB2618125 A GB 2618125A GB 202206212 A GB202206212 A GB 202206212A GB 2618125 A GB2618125 A GB 2618125A
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- 230000003044 adaptive effect Effects 0.000 title claims abstract description 50
- 238000000034 method Methods 0.000 title claims description 45
- 238000007599 discharging Methods 0.000 claims abstract description 39
- 230000036541 health Effects 0.000 claims abstract description 18
- 238000013473 artificial intelligence Methods 0.000 claims abstract description 7
- 230000000694 effects Effects 0.000 description 3
- 230000003862 health status Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000015556 catabolic process Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L55/00—Arrangements for supplying energy stored within a vehicle to a power network, i.e. vehicle-to-grid [V2G] arrangements
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/62—Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/63—Monitoring or controlling charging stations in response to network capacity
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/65—Monitoring or controlling charging stations involving identification of vehicles or their battery types
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/66—Data transfer between charging stations and vehicles
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/16—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2250/00—Driver interactions
- B60L2250/18—Driver interactions by enquiring driving style
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2250/00—Driver interactions
- B60L2250/20—Driver interactions by driver identification
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2260/00—Operating Modes
- B60L2260/40—Control modes
- B60L2260/50—Control modes by future state prediction
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2260/00—Operating Modes
- B60L2260/40—Control modes
- B60L2260/50—Control modes by future state prediction
- B60L2260/54—Energy consumption estimation
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
An adaptive charging profile P and an adaptive discharging profile D for an at least partially electrically operated motor vehicle 10 is determined by an assistance system 12 of the motor vehicle. Steps are included of: collecting a current status information 20, 22 of the vehicle by a capturing device 16; providing a driver profile 24 by a computing device 18; providing a historical information 26 by the computing device; and determining the adaptive charging profile depending on the current status information, driver profile and historical information. The computing device may comprise artificial intelligence 28. The current status information may comprise at least one of a battery health information, a time-of-the-day, an ambient information, or a current location of the motor vehicle. The historical information may be a charging profile of the vehicle developed in the past.
Description
A METHOD FOR DETERMINING AN ADAPTIVE CHARGING PROFILE FOR AN AT LEAST PARTIALLY ELECTRICALLY OPERATED MOTOR VEHICLE AS WELL AS A CORRESPONDING ASSISTANCE SYSTEM
FIELD OF THE INVENTION
[0001] The present invention relates to the field of automobiles. More specifically, 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 an assistance system of the motor vehicle as well as to a corresponding assistance system.
BACKGROUND INFORMATION
[0002] From the state of the art it is known that at least partially electrically operated motor vehicles can be charged and discharged with electrical power while connected to the grid. Therefore, a charging and discharging profile maybe provided in order to charge and discharge the battery of the motor vehicle in an efficient way.
SUMMARY OF THE INVENTION
[0003] It is an object of the present invention to provide a method as well as an assistance system, by which a more efficient way for charging and discharging a battery of the motor vehicle maybe provided. In some embodiments, the object of the present invention may further also provide a method as well as an assistance system, by which a more efficient way for discharging a battery of the motor vehicle maybe provided.
[0004] This object is solved by a method as well as an assistance system according to the independent claims. Advantageous forms or configurations are presented in the dependent claims.
[0005] 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. A current status information of the motor vehicle may be collected by a capturing device of the assistance system. A driver profile of a driver of the motor vehicle may be provided by an electronic computing device of the assistance system. Furthermore, historical information may be provided by the electronic computing device. The adaptive charging profile is determined depending on the current status information and the driver profile and the historical information by the electronic computing device.
[0006] Therefore, a method for a more reliable charging and discharging of an electrically operated motor vehicle is provided, based on urgency and additional information deducted or extracted from the assistance system. In certain embodiments, the method may include an artificial intelligence solution.
[0007] In particular, a more efficient control of the electric vehicle's charging time using information from onboard such as information from the assistance system, the capturing device, and/or the electronic computing device may be provided. For example, the onboard information may include a history, location, driver's profile, battery's health status, time of the day, cloud data, and/or ambient data. In some embodiments, the main information for the selection of the charging and discharging profile may include the urgency and location of the activity.
[0008] The present invention provides a convenient and efficient method to charge and discharge the electric vehicle's battery while taking into consideration the profile for increasing the state of health and compensating for the degradation caused by the vehicle-to-grid utilization.
[0009] For example, the decision of switching between charging and discharging of the battery may be taken automatically based on a set of rules and user preferences.
[0010] According to an embodiment, the electronic computing device may include an artificial intelligence for determining the adaptive charging and discharging profile.
[0011] In another embodiment the current status information may include at least of one a battery health information, a time-of-the-day, an ambient information, or a current location of the motor vehicle.
[0012] In another embodiment the historical information may include a charging profile of the motor vehicle developed in the past.
[0013] According to another embodiment, a grid information of a charging capacity of a charging station for charging the motor vehicle may be taken into consideration.
[0014] In another embodiment the adaptive charging profile may include at least one of a fast charging profile, an optimal charging profile, or a discharging profile.
[0015] In particular, the method may be a computer-implemented method. Therefore, another aspect of the present invention may relate to a computer program product comprising means for performing the method. Furthermore, the present invention may relate to a computer-readable storage medium including 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 which, when executed by a processing circuit, may cause the processing circuit to perform the method.
[0016] Another 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 capturing device, one electronic computing device, and one communication device, wherein the assistance system may be configured for performing a method according to the preceding aspect. In particular, the method is performed by the assistance system.
[0017] Another aspect of the present invention relates to a motor vehicle comprising at least the assistance system. The motor vehicle may be configured as an at least partially electrically operated motor vehicle or a fully electrically operated motor vehicle.
[0018] Advantageous forms of the method are to be regarded as advantageous forms of the assistance system as well as of the motor vehicle. The assistance system as well as the motor vehicle therefore may include means for performing the method.
[0019] Further advantages, features, and details of the present invention derive from the following description of preferred embodiments as well as from the drawings. The features and feature combinations previously mentioned in the description as well as the features and feature combinations mentioned in the following description of the figures and/or shown in the figures alone can be employed not only in the respectively indicated combination but also in any other combination or taken alone without leaving the scope of the present invention.
BRIEF DESCRIPTION OF THE DRAWINGS
[0020] The novel features and characteristic of the present disclosure are set forth in the appended claims. The accompanying drawings, which are incorporated in and constitute a part of this present disclosure, illustrate exemplary embodiments and together with the description, serve to explain the disclosed principles. The same numbers are used throughout the figures to reference like features and components. Some embodiments of system and/or methods in accordance with embodiments of the present subject matter are now described below, by way of example only, and with reference to the accompanying figures.
[0021] The drawings show in: [0022] Fig. 1 a schematic perspective view according to an embodiment of a motor vehicle comprising an embodiment of an assistance system; [0023] Fig. 2 another schematic perspective view according to an embodiment of a motor vehicle comprising an embodiment of the assistance system; [0024] Fig. 3 a flow chart according to an embodiment of the method; [0025] Fig. 4 another flow chart according to an embodiment of the method; and [0026] Fig. 5 another flow chart according to an embodiment of the method.
[0027] In the figures the same elements or elements having the same function are indicated by the same reference signs.
DETAILED DESCRIPTION
[0028] In the present document, the word "exemplary" is used herein to mean "serving as an example, instance, or illustration". Any embodiment or implementation of the present subject matter described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
[0029] While the present disclosure is susceptible to various modifications and alternative forms, specific embodiments thereof have been shown by way of example in the drawings and will be described in detail below. It should be understood, however, that it is not intended to limit the present disclosure to the particular forms disclosed, but on the contrary, the present disclosure is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure.
[0030] The terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion so that a setup, device, or method that comprises a list of components or steps does not include only those components or steps but may include other components or steps not expressly listed or inherent to such setup, device, or method. In other words, one or more elements in a system, method, or apparatus followed by "comprises" or "comprise" does not, without more constraints, preclude the existence of other elements or additional elements in the system, method, or apparatus.
[0031] In the following detailed description of the embodiment of the present disclosure, reference is made to the accompanying drawings that form part hereof, and in which are shown by way of illustration specific embodiments in which the present disclosure may be practiced. These embodiments are 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 utilized and that 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.
[0032] Fig. 1 shows a schematic perspective view according to an embodiment of a motor vehicle 10 including at least one assistance system 12. The motor vehicle 10 is at least partially electrically operated. The motor vehicle 10 may also be fully electrically operated. The motor vehicle 10 includes at least one battery 14. The battery 14 may also be referred to as an electric power storage device.
[0033] The assistance system 12 may include at least one capturing device 16 and one electronic computing device 18.
[0034] In particular, Fig. 1 shows a method for determining an adaptive charging profile P for the motor vehicle 10. The capturing device 16 may collect a current status information 20, 22. For example, the capturing device 16 may capture a battery's health information, a time-of-the-day, an ambient 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 may be provided by the electronic computing device 18. Furthermore, a historical data information 26 may be provided by the electronic computing device 18. The adaptive charging profile P may be determined based on the current status information 20, 22, the driver profile 24, and the historical information 26 by the electronic computing device 18.
[0035] In particular, the electronic computing device 18 may include an artificial intelligence 28 for determining the adaptive charging profile P. [0036] Furthermore, the current status information 20, 22 may include the battery's health information, the time-of-the-day, the ambient information, and/or the current location of the motor vehicle.
[0037] In another embodiment the historical information 26 may be a charging profile of the motor vehicle 10 developed in the past. For example, the empirical data may include data from a previous hour(s), day(s), month(s), and/or year(s). Furthermore, the adaptive charging profile P may include a profile for fast charging 30 and for optimal charging 32. Furthermore, information from the grid 32 such as a charging capacity of a charging station for charging the motor vehicle 10 may be taken into consideration. In other embodiments, information from the grid 32 or grid information may include power load conditions, battery storage conditions, current flow conditions, and/or other relevant information.
[0038] In particular, a more efficient control of the charging time using information from the electronic computing device 18 may include historical information, location data, the driver's profile 24, the battery's health status, the time of the day, the cloud data, and the ambient data.
[0039] As represented in the Fig. 1, the driving range of the motor vehicle 10 may be predicted in a main loop by a vehicle onboard prediction algorithm triggering notifications back to a driver via an existent display device and/or audio prompts if enabled. The onboard prediction algorithm collects historical and/or driver profile information from the electronic computing device 18 such as the state of charge, battery health, battery temperature, intended driving distance, or other characteristics.
[0040] The automotive assistance system 12 may recommend the driver an optimal location to recharge the motor vehicle 10 based on context. In some embodiments, the automotive assistance system 12 may collect information regarding the urgency, time of the day, ambient conditions, state of the driver, history of the charging, history of the discharging, and/or profile of the driver and select an adaptive charging profile P appropriate with a location and urgency of charging.
[0041] For example, the driver may plug in a charging connector or connect to a wireless charging system if the motor vehicle 10 is equipped with wireless charging. The driver may select a charging profile on the user interface present in the car's infotainment system, and the charging activity may commence. In a different embodiment, the driver's selection may be included in the determination of the adaptive charging profile P and adaptive discharging profile D as shown in Fig. 2.
[0042] Fig. 2 shows another schematic perspective view according to another embodiment of a motor vehicle 10 including at least one assistance system 12 and one battery 14. The assistance system 12 may include at least one capturing device 16 and one electronic computing device 18.
[0043] Fig. 2 illustrates another embodiment of a method for determining an adaptive charging profile P and an adaptive discharging profile D for the motor vehicle 10. The capturing device 16 may collect a current status information 20, 22. For example, the capturing device 16 may capture a battery's health information, a time-of-the-day, an ambient 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 may be provided by the electronic computing device 18. Furthermore, a historical data information 26 may 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. For example, the determination of the adaptive charging profile P and the adaptive discharging profile D may be based on the amount of power required to charge the motor vehicle 10, the timing of the charging or discharging process, or the cost of the charging service.
[0044] In particular, the electronic computing device 18 may include an artificial intelligence 28 for determining the adaptive charging profile P and adaptive discharging profile D. [0045] Furthermore, the current status information 20, 22 may include the battery's health information, the time-of-the-day, the ambient information, and/or the current location of the motor vehicle 10. In some embodiments, the ambient information may include a charging current flow 38 and/or a discharging flow 40.
[0046] In another embodiment the historical information 26 may be a charging profile of the motor vehicle 10 developed in the past. For example, the empirical data may include data from a previous hour(s), day(s), month(s), and/or year(s). Furthermore, the adaptive charging profile P or the adaptive discharging profile may include a profile for fast charging 30 and/or for optimal charging 32. Furthermore, information from the grid 32 such as a charging capacity of a charging station for charging the motor vehicle 10 may be taken into consideration.
[0047] In particular, a more efficient control of the charging time using information from the electronic computing device 18 may include historical information, location data, the driver's profile 24, the battery's health status, the time of the day, the cloud data, and the ambient data.
[0048] As represented in the Figs. 1 and 2, the driving range of the motor vehicle 10 may be predicted in a main loop by a vehicle onboard prediction algorithm triggering notifications back to a driver via an existent display device and/or audio prompts if enabled. The onboard prediction algorithm collects historical and/or driver profile information from the electronic computing device 18 such as the state of charge, battery health, battery temperature, intended driving distance, or other characteristics.
[0049] The automotive assistance system 12 may recommend the driver an optimal location to recharge the motor vehicle 10 based on context. In some embodiments, the automotive assistance system 12 may collect information regarding the urgency, time of the day, ambient conditions, state of the driver, history of the charging, history of the discharging, and/or profile of the driver and select an adaptive charging profile P appropriate with a location and urgency of charging.
[0050] For Figs. 1 or 2, there may be at least two charging options based on the location of the charging activity. A first option may be an at home charging option. If there is an urgent status detected by the motor vehicle 10, the charging power may be set to a maximum value available from the grid. If there is no urgent status detected, the charging power may be set at a normal rate predefined based on a default profile. A second option may be a remote charging profile, the charging power may be set at the maximum input power available from the chosen charging station. In certain embodiments, the amount of power drawn from the charging station may be determined based on the adaptive charging profile P, for example, selected based on urgency of charging and discharging and battery parameters. For example, the battery parameters may include the state of charge, state of health, charging power, and/or other values for increasing the battery life. A state-of-the-art charging profile may be implemented to determine the adaptive charging profile P and discharging profile D. [0051] For the charging options, if a vehicle-to-grid (V2G) communication is available and enabled by the driver, the motor vehicle 10 may provide energy back to the grid following the adaptive discharging profile D when discharging operation dependencies are within acceptable operation thresholds. For example, the discharging operation dependencies may include the state of health and state of charge of the battery. During the discharging operation, the charge level, the discharging profile D, and remaining discharge time left may be checked periodically to enable a re-charging, if desired, for the remaining time the vehicle is stationed at the charging location.
[0052] Fig. 3 shows a flow chart according to an embodiment of the method. In a first step S3.1, the method may start. In a second step S3.2, a range prediction query of the assistance system 12 may be determined. In a third step S3.3, the range prediction is checked to determine if the range prediction is low. If the range prediction is low, a fourth step S3.4 is performed, in which the driver is notified of a charging location and an adaptive charging profile P list may be generated. For this purpose, inputs 34 are collected for the determination of 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 prediction is not low after the third step S3.3, the method may return to the second step S3.2.
[0053] Fig. 4 shows another flow chart according to an embodiment of the method. In a first step S4.1, the method may start. In a second step S4.2, a wireless charging option may be checked. If the wireless charging option is initiated, a third step S4.3 may be performed, in which the vehicle location is checked. If no wireless charging is initiated, the wired charging option may be checked. If a charging connector is plugged in at the fourth step S4.4, the third step S4.3 may be performed, in which the vehicle location is checked.
[0054] If the motor vehicle 10 is at home, an urgent status may be checked at a fifth step S4.5. If there is an urgent status, a sixth step S4.6 may be performed, in which the maximal power allowed for charging may be provided. Coming from the third step S4.3, if the motor vehicle 10 is not at home, an eighth step S4.8 may be performed, in which the availability of a vehicle-to-grid network is checked. If the motor vehicle 10 does not have access to an available vehicle-to-grid network, the maximal power allowed for charging may be provided at a ninth step S4.9. If the motor vehicle 10 does have access to the available vehicle-to-grid network at the eighth step S4.8, the connection to the vehicle-togrid network at a seventh step S4.7 may be checked. Additionally, if the status is not urgent at the first step S4.5, the seventh step S4.7 may be performed. For example, the method may include the electronic computing device 18 may determine whether the feature to enable the motor vehicle 10 to connect to the vehicle-to-grid connection is enabled or disabled.
[0055] Coming from the seventh step S4.7, if the connection to the vehicle-to-grid network is disabled, the optimal profile for charging may be kept, which is shown in a tenth step S4.10. If the connection to the vehicle-to-grid network is enabled, an eleventh step S4.11 may be performed, in which the battery health may be checked. For example, the battery 14 may include an optimal state of health, and the optimal state of health of the battery 14 may be determined. If the state of health of the battery 14 is optimal, a twelfth step S4.12 may be performed, in which the state of charge of the battery 14 may be checked. If the state of charge of the battery 14 is optimal, a thirteenth step S4.13 may be performed, in which a discharging profile from the adaptive discharging profile list may be updated. After the thirteenth steps S4.13, a fourteenth step S4.14 may be performed, in which the remaining time the vehicle is stationed at the charging location may be checked, which is further described in Fig. 5.
[0056] Coming from the eleventh step S4.11 or from the twelfth step S4.12, if the state of the battery's health is not optimal and/or the state of charge of the battery 14 is not optimal, a fifteenth step S4.15 may be performed, in which the driver may be notified and warned based on the collected data such as the state of the battery's health and state of charge of the battery 14. After the fifteenth step S4.15, a sixteenth step S4.16 may be performed, in which the charging profile is updated from the adaptive charging profile P list. Subsequently, a seventeenth step S4.17 may be performed, in which the motor vehicle 10 and/or the battery 14 is charged based on the determined adaptive charging profile P. Fig. 5 shows another flow chart according to an embodiment of the method. In a first step 55.1, the method may start. In a second step 55.2, the remaining time the vehicle is stationed at the charging location may be checked. If there is enough time left, a third step 55.3 may be performed, in which a discharge limit of the battery 14 may be checked. If the discharge limit of the battery 14 is not met, a fourth step S5.4 may be performed, in which the battery 14 may be discharged. If the discharge limit of the battery 14 is met at the third step S5.3 or if there is not enough time left at the charging location at the second step S5.2, a fifth step S5.5 may be performed, in which the charging profile may be updated from the adaptive charging profile P list. After the update of the charging profile at the fifth step S5.5, a sixth step S5.6 may be performed, in which the motor vehicle 10 may be charged. In some embodiments, the motor vehicle 10 may be re-charged, if desired, for the remaining time the vehicle is stationed at the charging location based on periodic checks of the charge level and remaining discharge time.
Reference Signs motor vehicle 12 assistance system 14 battery 16 capturing device 18 electronic computing device current status information 22 current status information 24 driver profile 26 historical information 28 artificial intelligence fast charging profile 32 optimal charging profile 34 Input 36 grid 38 charging current flow discharging current flow adaptive charging profile adaptive discharging profile 33.1 -55.6 steps of the invention
Claims (8)
- CLAIMS1. 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: - collecting a current status information (20, 22) of the motor vehicle (10) by a capturing 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 a 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).
- 2. The method 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).
- 3. The method according to claim 1 or 2, characterized in that the current status information (20, 22) comprises at least one of a battery health information, a time-of-the-day, an ambient information, or a current location of the motor vehicle (10).
- 4. The method according to any one of claims 1 to 3, characterized in that the historical information (26) is a charging profile of the motor vehicle (10) developed in the past.
- 5. The method according to any one of claims 1 to 4, characterized in that a grid information of a charging capacity of a charging station for charging the motor vehicle (10) is taken into consideration.
- 6. The method according to any one of claims 1 to 5, characterized in that the adaptive charging profile (P) comprises at least one of a fast charging profile (30) or an optimal charging profile (32), and the adaptive discharging profile (D) comprises at least one of a fast discharging profile or an optimal discharging profile.
- 7. An 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 capturing device (16) and one electronic computing device (18), wherein the assistance system (12) is configured for performing a method according to any one of claims 1 to 6.
- 8. A non-transitory computer-readable medium having instructions which, when executed by a processing circuit, causes the processing circuit to perform a method according to any one of claims 1 to 6.
Priority Applications (2)
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GB2206212.9A GB2618125A (en) | 2022-04-28 | 2022-04-28 | A method for determining an adaptive charging profile for an at least partially electrically operated motor vehicle as well as a corresponding assistance |
DE102023000543.6A DE102023000543A1 (en) | 2022-04-28 | 2023-02-17 | Method for determining an adaptive charging profile for an at least partially electrically operated motor vehicle and corresponding assistance system |
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GB2206212.9A GB2618125A (en) | 2022-04-28 | 2022-04-28 | A method for determining an adaptive charging profile for an at least partially electrically operated motor vehicle as well as a corresponding assistance |
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US20080039989A1 (en) * | 2006-08-10 | 2008-02-14 | V2 Green, Inc. | User Interface and User Control in a Power Aggregation System for Distributed Electric Resources |
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US20170043674A1 (en) * | 2015-08-14 | 2017-02-16 | Siemens Industry, Inc. | Automatically selecting charging routine for an electric vehicle by balancing utility and user considerations |
US20190039467A1 (en) * | 2017-08-04 | 2019-02-07 | Rivian Automotive, LLC | Delayed Battery Charging For Electric Vehicles Based on State of Charge |
US20210094433A1 (en) * | 2019-09-30 | 2021-04-01 | Ford Global Technologies, Llc | Electric vehicle with remote adaptive charge programming using override of on-board charge programming |
US20210094435A1 (en) * | 2018-04-13 | 2021-04-01 | Robert Bosch Gmbh | Optimization System and an Optimization Method |
-
2022
- 2022-04-28 GB GB2206212.9A patent/GB2618125A/en not_active Withdrawn
-
2023
- 2023-02-17 DE DE102023000543.6A patent/DE102023000543A1/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
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US20080039989A1 (en) * | 2006-08-10 | 2008-02-14 | V2 Green, Inc. | User Interface and User Control in a Power Aggregation System for Distributed Electric Resources |
WO2013136290A2 (en) * | 2012-03-15 | 2013-09-19 | Gruppofor S.R.L. | System and method for producing and distributing energy |
US20170043674A1 (en) * | 2015-08-14 | 2017-02-16 | Siemens Industry, Inc. | Automatically selecting charging routine for an electric vehicle by balancing utility and user considerations |
US20190039467A1 (en) * | 2017-08-04 | 2019-02-07 | Rivian Automotive, LLC | Delayed Battery Charging For Electric Vehicles Based on State of Charge |
US20210094435A1 (en) * | 2018-04-13 | 2021-04-01 | Robert Bosch Gmbh | Optimization System and an Optimization Method |
US20210094433A1 (en) * | 2019-09-30 | 2021-04-01 | Ford Global Technologies, Llc | Electric vehicle with remote adaptive charge programming using override of on-board charge programming |
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GB202206212D0 (en) | 2022-06-15 |
DE102023000543A1 (en) | 2023-11-02 |
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