Recharging of battery electric vehicles on a smart electrical grid system

Patent metadata

Field	Value
Publication number	US-9718371-B2
Application number	US-201113174227-A
Country	US
Kind code	B2
Filing date	Jun 30, 2011
Priority date	Jun 30, 2011
Publication date	Aug 1, 2017
Grant date	Aug 1, 2017

Abstract

A computer program product for recharging a number of battery electric vehicles includes computer usable program code. The computer usable program code is configured to receive, from the number of battery electric vehicles that are to recharge at a number of recharging stations, usage data. The usage data includes a current charge level, a current location, and a planned itinerary that includes a destination. The computer usable program code is configured to determine anticipated electrical loads in the number of sectors of the electrical grid system based on the usage data of the number of battery electric vehicles. The computer usable program code is configured to redistribute the electrical supply on the electrical grid system to at least one recharging station of the number of recharging stations based on the anticipated electrical loads, prior to actual usage defined by the usage data by the number of battery electrical vehicles.

First claim

What is claimed is:

1. A computer program product for recharging a number of battery electric vehicles, the computer program product comprising:
a non-transitory computer readable storage medium having computer usable program code embodied therewith, the computer usable program code comprising a computer usable program code configured to:
receive from the number of battery electric vehicles that are to recharge at a number of recharging stations of an electrical grid system usage data that comprises a current charge level, a current location, and a planned itinerary that includes a destination;
determine anticipated electrical loads at the number of recharging stations of the electrical grid system based on the usage data of the number of battery electric vehicles;
redistribute, by a power generator in response to receiving a communication including the anticipated electrical loads from a control module in a remote server, an electrical supply on the electrical grid system to at least one recharging station of the number of recharging stations based on the anticipated electrical loads, prior to actual usage defined by the usage data by the number of battery electric vehicles; and

transmit to at least one battery electric vehicle of the number of battery electric vehicles, a recommended recharging station among the number of recharging stations for actual usage by the at least one battery electric vehicle, wherein actual usage of the recommended recharging station by the at least one battery electric vehicle provides a more even distribution of the anticipated electrical loads on the electrical grid system than actual usage of a recharging station that is closest to the current location, wherein the recommended recharging station has more recharge capacity than the recharging station that is closest to the current location of the at least one battery electric vehicle.

2. The computer program product of claim 1 , wherein the computer usable program code is configured to dynamically vary charge rates for recharging at the number of recharging stations based on the anticipated electrical loads of the electrical grid system, wherein the charge rates are variable across the number of recharging stations.

3. The computer program product of claim 2 , wherein the computer usable program code is configured to:
determine an anticipated charge rate for recharging at the number of recharging stations for at least one battery electric vehicle of the number of battery electric vehicles for the planned itinerary for the at least one battery electric vehicle, wherein the anticipated charge rate is based on the charge rates being dynamically varied based on the anticipated electrical loads; and
transmit the anticipated charge rate to at least one of a device of the at least one battery electric vehicle and a mobile device associated with a driver of the at least one battery electric vehicle.

4. The computer program product of claim 1 , wherein the recommended recharging station is based on an environmental condition that comprises at least one of traffic, geographical terrain, and weather.

5. The computer program product of claim 1 , wherein recommendation of the recommended recharging station is derived from the recommended recharging station providing a quickest recharge time in comparison to others of the number of recharging stations.

6. The computer program product of claim 1 , wherein the computer usable program code is configured to:
receive, through a network communication, an electronic token from at least one of a mobile device of an operator of at least one battery electric vehicle of the number of battery electric vehicles and a device associated with the at least one battery electric vehicle; and
responsive to receiving the electronic token, reserve a reserve spot at the number of recharging stations to recharge the at least one battery electric vehicle, wherein the reserving of the spot is for a guaranteed time period based on a monetary value of the electronic token and is unrestricted with regard to a recharging station of the number of recharging stations where the reserve spot is located.

7. An apparatus for recharging battery electric vehicles, the apparatus comprising:
a processor; and
a control module executable on the processor, the control module configured to:
receive from a number of battery electric vehicles that are to recharge at a number of recharging stations of an electrical grid system, usage data that includes a current charge level, a current location, and a planned itinerary that includes a destination;
determine anticipated electrical loads at the number of recharging stations of the electrical grid system based on the usage data of the number of battery electric vehicles;
redistribute, by a power generator in response to receiving a communication including the anticipated electrical loads from a control module in a remote server, an electrical supply on the electrical grid system to at least one recharging station of the number of recharging stations based on the anticipated electrical loads, prior to actual usage defined by the usage data by the number of battery electric vehicles; and
transmit to at least one battery electric vehicle of the number of battery electric vehicles, a recommended recharging station among the number of recharging stations for actual usage by the at least one battery electric vehicle, wherein actual usage of the recommended recharging station by the at least one battery electric vehicle provides a more even distribution of the anticipated electrical loads on the electrical grid system than actual usage of the recharging station that is closest to the current location, wherein the recommended recharging station has more recharge capacity than the recharging station that is closest to the current location of the at least one battery electric vehicle.

8. The apparatus of claim 7 , wherein the control module is further configured to dynamically vary charge rates for recharging at the number of recharging stations based on the anticipated electrical loads of the electrical grid system, wherein the charge rates are variable across the number of recharging stations.

9. The apparatus of claim 8 , wherein the control module is further configured to:
determine an anticipated charge rate for recharging at the number of recharging stations for at least one battery electric vehicle of the number of battery electric vehicles for the planned itinerary for the at least one battery electric vehicle, wherein the anticipated charge rate is based on the charge rates being dynamically varied based on the anticipated electrical loads; and
transmit the anticipated charge rate to at least one of a device of the at least one battery electric vehicle and a mobile device associated with a driver of the at least one battery electric vehicle.

10. The apparatus of claim 7 , wherein the recommended recharging station is based on an environmental condition that comprises at least one of traffic, geographical terrain, and weather.

11. The apparatus of claim 7 , wherein recommendation of the recommended recharging station is based, at least in part, on the recommended recharging station providing a quickest recharge time in comparison to others of the number of recharging stations.

12. The apparatus of claim 7 , wherein the control module is further configured to:
receive, through a network communication, an electronic token from at least one of a mobile device of an operator of at least one battery electric vehicle of the number of battery electric vehicles and a device associated with the at least one battery electric vehicle; and
responsive to receiv

Assignees

• Anglin Howard N
• Mejia Irgelkha
• Ruegger Nicholas J
• Young Yvonne M
• IBM

Inventors

• Anglin Howard N
• Mejia Irgelkha
• Ruegger Nicholas J
• Young Yvonne M

Classifications

• Y04S40/124

  using wired telecommunication networks or data transmission busses · CPC title

• B60L2240/62

  Vehicle position · CPC title

• Y04S30/12

  Remote or cooperative charging · CPC title

• B60L58/12

  responding to state of charge [SoC] · CPC title

• B60L55/00

  Arrangements for supplying energy stored within a vehicle to a power network, i.e. vehicle-to-grid [V2G] arrangements · CPC title