Environmentally sustainable peer-to-peer electricity source network

Patent metadata

Field	Value
Publication number	US-12030401-B2
Application number	US-202117542209-A
Country	US
Kind code	B2
Filing date	Dec 3, 2021
Priority date	Dec 3, 2021
Publication date	Jul 9, 2024
Grant date	Jul 9, 2024

Abstract

This disclosure describes an environmentally sustainable peer-to-peer electricity source network. An example method may include receiving, by a processor, a request to perform a charging of a first device. An example method may include determining, by the processor and using a peer-to-peer network including one or more charging sources, a first charging source to provide charge to the first device, wherein determining the first charging source is based on an amount of emissions that would result from charging using the first charging source. An example method may include determining, by the processor, a first time and a first location at which to perform charging of the first device using the first charging source. An example method may include determining, by the processor, that the charging of the first device has been performed.

First claim

What is claimed is:

1. A system comprising:
a processor; and
a memory storing computer-executable instructions, that when executed by the processor, cause the processor to:
receive a request to perform a charging of a first electric vehicle;
determine, using a peer-to-peer network including one or more charging sources, a first charging source to provide charge to the first electric vehicle, wherein determining the first charging source is based on an amount of emissions that would result from charging using the first charging source;
determine a first time and a first location at which to perform charging of the first electric vehicle using the first charging source;
autonomously navigate, by the first electric vehicle, to the first location at the first time;
initiate an action to provide the first electric vehicle physical access to the first charging source; and
determine that the charging of the first electric vehicle has been performed.

2. The system of claim 1 , wherein the first charging source is determined based on either: a manual selection of the first charging source through a user interface, or an automatic determination based on one or more selection criteria.

3. The system of claim 2 , wherein the one or more selection criteria include at least one of: an availability of the first charging source, a location of the first charging source, a charging capability of the first charging source, or an amount of emissions that would result from charging using the first charging source.

4. The system of claim 1 , wherein the amount of emissions is based on well-to-storage emissions and/or local exhaust emissions.

5. The system of claim 1 , wherein the computer-executable instructions further cause the processor to:
receive data captured by one or more sensors during the charging of the first electric vehicle; and
store the data.

6. The system of claim 5 , wherein the computer-executable instructions further cause the processor to:
determine, using a classification algorithm applied to the data, that an abnormal event has occurred in association with the charging.

7. The system of claim 1 , wherein the computer-executable instructions further cause the processor to:
autonomously perform the charging of the first electric vehicle using at least one of: one or more sensors of the first electric vehicle or the first charging source.

8. A method comprising:
receiving, by a processor, a request to perform a charging of a first electric vehicle;
determining, by the processor and using a peer-to-peer network including one or more charging sources, a first charging source to provide charge to the first electric vehicle, wherein determining the first charging source is based on an amount of emissions that would result from charging using the first charging source;
determining, by the processor, a first time and a first location at which to perform charging of the first electric vehicle using the first charging source;
autonomously navigating, by the first electric vehicle, to the first location at the first time;
receiving data captured by one or more sensors during the charging of the first electric vehicle; and
determining, using a classification algorithm applied to the data, that an abnormal event occurs in association with the charging; and
determining, by the processor, that the charging of the first electric vehicle has been performed.

9. The method of claim 8 , wherein the first charging source is determined based on either: a manual selection of the first charging source through a user interface, or an automatic determination based on one or more selection criteria.

10. The method of claim 9 , wherein the one or more selection criteria include at least one of: an availability of the first charging source, a location of the first charging source, a charging capability of the first charging source, or an amount of emissions that would result from charging using the first charging source.

11. The method of claim 8 , further comprising initiating an action to provide the first electric vehicle physical access to the first charging source.

12. The method of claim 8 , wherein the amount of emissions is based on well-to-storage emissions and/or local exhaust emissions.

13. The method of claim 8 , further comprising:
receiving data captured by one or more sensors during the charging of the first electric vehicle; and
storing the data.

14. The method of claim 13 , further comprising:
determining, using a classification algorithm applied to the data, that an abnormal event has occurred in association with the charging.

15. A non-transitory computer-readable medium storing computer-executable instructions, that when executed by a processor, cause the processor to:
receive a request to perform a charging of a first electric vehicle;
determine, using a peer-to-peer network including one or more charging sources, a first charging source to provide charge to the first electric vehicle, wherein determining the first charging source is based on at least one of: a distance to the first charging source, a charging time associated with the first charging source, or an amount of emissions that would result from charging using the first charging source, wherein the amount of emissions is based on at least one of: well-to-storage emissions or local exhaust emissions;
determine a first time and a first location at which to perform charging of the first electric vehicle using the first charging source;
autonomously navigate, by the first electric vehicle, to the first location at the first time; and
determine that the charging of the first electric vehicle has been performed.

16. The non-transitory computer-readable medium of claim 15 , wherein the first charging source is determined based on either: a manual selection of the first charging source through a user interface, or an automatic determination based on one or more selection criteria.

17. The non-transitory computer-readable medium of claim 16 , wherein the one or more selection criteria include at least one of: an availability of the first charging source, a location of the first charging source, a charging capability of the first charging source, or an amount of emissions that would result from charging using the first charging source.

18. The non-transitory computer-readable medium of claim 15 , wherein the computer-executable instructions further cause the processor to initiate an action to provide the first electric vehicle physical access to the first charging source.

19. The non-transitory computer-readable medium of claim 15 , wherein the amount of emissions is based on well-to-storage emissions and/or local exhaust emissions.

20. The non-transitory computer-readable medium of claim 15 , wherein the computer-executable instructions further cause the processor to:
receive data captured by one or more sensors during the charging of the first electric vehicle; and
store the data.

Assignees

• Ford Global Tech Llc

Inventors

• Meroux Dominique
• Telenko Cassandra
• Jiang Zhen

Classifications

• H02J13/12 Primary

  Monitoring network conditions, e.g. electrical magnitudes or operational status · CPC title

• H02J7/50

  acting upon multiple batteries simultaneously or sequentially · CPC title

• H02J2105/37

  exchanging power with electric vehicles [EV] or with hybrid electric vehicles [HEV] · CPC title

• B60L53/68 Primary

  Off-site monitoring or control, e.g. remote control · CPC title

• B60L53/305

  Communication interfaces · CPC title