Method for planning a power exchange between a charging infrastructure and an electricity supply grid

Patent metadata

Field	Value
Publication number	US-12252028-B2
Application number	US-202117537252-A
Country	US
Kind code	B2
Filing date	Nov 29, 2021
Priority date	Nov 30, 2020
Publication date	Mar 18, 2025
Grant date	Mar 18, 2025

Abstract

A method for planning a power exchange between a charging infrastructure and an electricity supply grid. The infrastructure has a plurality of terminals for connecting and charging electric vehicles such that the electric vehicles can exchange power with the grid via the terminals. Each electric vehicle has an electrical storage unit with a variable individual state of charge for drawing and outputting power, and all of the storage units connected to the infrastructure form an overall storage unit of the infrastructure, which overall storage unit is characterized by a total storage capacity and a total state of charge that are variable. The prediction of arrival times of the vehicles at the terminals thereof is created, and a total state of charge prediction is created for a prediction period depending on the prediction of the arrival times, wherein the total state of charge prediction is created as a time profile.

First claim

The invention claimed is:

1. A method for planning an electrical power exchange between a charging infrastructure and an electricity supply grid,
wherein:
the charging infrastructure includes a plurality of charging terminals operable to be connected to a plurality of electric vehicles, respectively, and charge the plurality of electric vehicles such that the plurality of electric vehicles exchange the electrical power with the electricity supply grid via the plurality of charging terminals,
each electric vehicle of the plurality of electric vehicles has a battery of a plurality of batteries, the battery having an individual state of charge of a plurality of individual states of change that is variable, and the battery is operative to draw or output the electrical power, and
the plurality of batteries connected to the charging infrastructure form an overall battery of the charging infrastructure, and the overall battery is characterized by a total storage capacity and a total state of charge, wherein the total storage capacity is variable, and the total state of charge is variable, and

wherein the method comprises:
determining a plurality of arrival time predictions of the plurality of electric vehicles at the plurality of charging terminals; and
determining a total state of charge prediction for the total state of charge for a prediction period depending on the plurality of the arrival time predictions, wherein the total state of charge prediction is a time profile of the total state of charge, wherein determining the total state of charge prediction depending on the plurality of the arrival time predictions includes determining the total state of charge prediction depending on timetables of the plurality of electric vehicles, wherein the timetables are defined by predetermined arrival times and departure times of the plurality of electric vehicles.

2. The method as claimed in claim 1 , comprising:
determining the total state of charge prediction at least one day before a start of the prediction period.

3. The method as claimed in claim 1 , comprising:
determining a plurality of individual state of charge predictions for the plurality of individual states of charge, respectively, wherein each individual state of charge prediction is a time profile of the individual state of charge; and
determining the total state of charge prediction depending on the plurality of individual state of charge predictions.

4. The method as claimed in claim 1 , comprising:
determining the plurality of arrival time predictions depending on at least one type of information for arrival time selected from a list including:
information about a timetable of an electric vehicle that includes planned travel times,
information about the timetable of the electric vehicle that includes planned travel routes,
current transport infrastructure information of a region associated with the electric vehicle,
arrival times of preceding days stored for the electric vehicle,
a weather forecast,
information about events that affect a volume of traffic in the region associated with the electric vehicle, and
information on a driver of the electric vehicle and/or a driving behavior of the electric vehicle.

5. The method as claimed in claim 1 , comprising:
determining an individual state of charge prediction of the plurality of individual state of charge predictions depending on at least one type of information selected from a list including:
information about a timetable of an electric vehicle that includes planned travel times,
information about the timetable of the electric vehicle that includes planned travel routes,
information on properties of the electric vehicle,
information on properties of the battery of the electric vehicle,
information on individual states of charge stored for the electric vehicle upon arrival at a charging terminal in accordance with an acquisition of preceding days,
information on a predeterminable individual state of charge of the electric vehicle at a beginning of a trip when the electric vehicle is disconnected from a charging terminal,
current transport infrastructure information of a region associated with the electric vehicle,
a weather forecast,
information on events that affect a volume of traffic in the region associated with the electric vehicle,
information on a driver of the electric vehicle and/or a driving behavior of the electric vehicle,
information on a state of the electric vehicle,
information on a state of the battery of the electric vehicle, and
information on a model inaccuracy or errors in an acquisition of an individual state of charge.

6. The method as claimed in claim 1 , comprising:
changing the total state of charge prediction, after determining the total state of charge prediction, depending on:
a change of an arrival time prediction of the plurality of the arrival time predictions; and/or
a change of an individual state of charge prediction of the plurality of individual state of charge predictions.

7. The method as claimed in claim 1 , comprising:
changing the plurality of the arrival time predictions, after determining the plurality of arrival time predictions, depending on at least one piece of additional information for arrival time selected from a list including:
information that a timetable has changed,
information on an acquired traffic situation and/or a prediction of the traffic situation,
information on weather or a weather forecast for the prediction period received after determining the total state of charge prediction,
information on a deviation of a current position of an electric vehicle from a planned position in accordance with a timetable, and
information on loading or average passenger occupancy of the electric vehicle.

8. The method as claimed in claim 1 , comprising:
changing an individual state of charge prediction, after determining the individual state of charge prediction, depending on at least one piece of additional information for individual states of charge selected from a list including:
information on an acquired traffic situation and/or a prediction of the traffic situation,
information on weather or a weather forecast created for the prediction period after determining the total state of charge prediction,
information on a deviation of a current position of an electric vehicle from a planned position according to a timetable,
information on loading or average passenger occupancy of the electric vehicle, and
information on an individual state of charge of the electric vehicle together with an associated time and/or an associated position.

9. The method as claimed in claim 1 , wherein determining or changing the plurality of arrival time predictions, a plurality of individual state of charge predictions and/or of the total state of charge prediction is performed using a prediction model for a plurality of arrival times, a prediction model for the plurality of individual states of charge and a prediction model for the total state of charge, respectively.

10. The method as claimed in claim 1 , wherein:
determining or changing the plurality of arrival time predictions is performed using a prediction model for the arrival times that uses:
at least one piece of prediction information for the arrival times to determine a prediction of the arrival times as a model input, and
at least one piece of additional information for the arrival times to change the prediction of the arrival times as a further input variable, and/or

determining or changing the plurality of individual state of charge predictions using a prediction model for individual states of charge that uses:
at least one piece of predicti

Assignees

• Wobben Properties Gmbh

Inventors

• Brombach Johannes
• Letzel Marcus
• Holicki Lukas
• SCHüRMANN GREGOR

Classifications

• H02J7/82

  Control of state of charge [SOC] · CPC title

• H02J7/40

  characterised by the exchange of charge or discharge related data · CPC title

• B60L58/12

  responding to state of charge [SoC] · CPC title

• H02J3/322 Primary

  the battery being on-board an electric or hybrid vehicle, e.g. vehicle to grid arrangements [V2G], power aggregation, use of the battery for network load balancing, coordinated or cooperative battery charging · CPC title

• B60L58/13

  Maintaining the SoC within a determined range · CPC title