System and method of charging a vehicle using a dynamic power grid, and system and method of managing power consumption in the vehicle

• US 10,245,968 B2
• Filed: 05/10/2016
• Issued: 04/02/2019
• Est. Priority Date: 02/03/2012
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: O'Connell, Brian Marshall, Hamilton, Rick Allen, Kozloski, James Robert, Pickover, Clifford Alan
• Primary Examiner(s): Hutchinson, Alan D
• Application Number:
  US15/151,210
• Publication Number:
  US 20160250943A1
• Time in Patent Office: 1,057 Days
• CPC Class Codes: B60L 1/02 to electric heating circuits
• CPC Class Codes: B60L 1/14 to electric lighting circuits
• CPC Class Codes: B60L 2240/12 Speed
• CPC Class Codes: B60L 2240/34 Cabin temperature
• CPC Class Codes: B60L 2240/622 by satellite navigation
• CPC Class Codes: B60L 2240/662 Temperature
• CPC Class Codes: B60L 2240/667 Precipitation
• CPC Class Codes: B60L 2240/68 Traffic data
• CPC Class Codes: B60L 2240/70 Interactions with external data bases, e.g. traffic centres
• CPC Class Codes: B60L 2240/72 Charging station selection relying on external data
• CPC Class Codes: B60L 2240/80 Time limits
• CPC Class Codes: B60L 2250/12 by confirmation, e.g. of the input
• CPC Class Codes: B60L 2250/14 by input of vehicle departure time
• CPC Class Codes: B60L 2250/16 by display
• CPC Class Codes: B60L 2260/52 drive range estimation, e.g. of estimation of available travel distance
• CPC Class Codes: B60L 2260/54 Energy consumption estimation
• CPC Class Codes: B60L 2270/12 of exhaust
• CPC Class Codes: B60L 53/305 Communication interfaces
• CPC Class Codes: B60L 53/51 Photovoltaic means
• CPC Class Codes: B60L 53/52 Wind-driven generators
• CPC Class Codes: B60L 53/63 : in response to network capacity
• CPC Class Codes: B60L 53/65 : involving identification of vehicles or their battery types
• CPC Class Codes: B60L 53/665 : Methods related to measuring, billing or payment
• CPC Class Codes: B60L 53/68 : Off-site monitoring or control, e.g. remote control
• CPC Class Codes: B60L 55/00 : Arrangements for supplying energy stored within a vehicle to a power network, i.e. vehicle-to-grid [V2G] arrangements
• CPC Class Codes: B60L 58/12 : responding to state of charge [SoC]
• CPC Class Codes: G01C 21/3469 : Fuel consumption; Energy use; Emission aspects
• CPC Class Codes: G06Q 30/08 : Auctions
• CPC Class Codes: G06Q 40/04 : Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: H02J 13/00006 : characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
• CPC Class Codes: H02J 2203/20 : Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
• CPC Class Codes: H02J 2310/48 : for electric vehicles [EV] or hybrid vehicles [HEV]
• CPC Class Codes: H02J 3/008 : involving trading of energy or energy transmission rights
• CPC Class Codes: H02J 7/00034 : Charger exchanging data with an electronic device, i.e. telephone, whose internal battery is under charge
• CPC Class Codes: H02J 7/0024 : Parallel/serial switching of connection of batteries to charge or load circuit
• CPC Class Codes: H02J 7/007 : Regulation of charging or discharging current or voltage
• CPC Class Codes: H02J 7/342 : The other DC source being a battery actively interacting with the first one, i.e. battery to battery charging with circuits for polarity protection H02J7/0034
• CPC Class Codes: Y02B 70/30 : Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
• CPC Class Codes: Y02B 90/20 : Smart grids as enabling technology in buildings sector smart grids supporting the management or operation of end-user stationary applications in general, or like technologies with no associated climate change mitigation effect Y04S20/00
• CPC Class Codes: Y02E 60/00 : Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y02T 10/70 : Energy storage systems for electromobility, e.g. batteries
• CPC Class Codes: Y02T 10/7072 : Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
• CPC Class Codes: Y02T 10/72 : Electric energy management in electromobility
• CPC Class Codes: Y02T 90/12 : Electric charging stations
• CPC Class Codes: Y02T 90/14 : Plug-in electric vehicles
• CPC Class Codes: Y02T 90/16 : Information or communication technologies improving the operation of electric vehicles
• CPC Class Codes: Y02T 90/167 : Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
• CPC Class Codes: Y04S 10/126 : the energy generation units being or involving electric vehicles [EV] or hybrid vehicles [HEV], i.e. power aggregation of EV or HEV, vehicle to grid arrangements [V2G]
• CPC Class Codes: Y04S 10/50 : Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
• CPC Class Codes: Y04S 20/221 : General power management systems
• CPC Class Codes: Y04S 30/14 : Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing
• CPC Class Codes: Y04S 40/12 : characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
• CPC Class Codes: Y04S 40/20 : Information technology specific aspects, e.g. CAD, simulation, modelling, system security
• CPC Class Codes: Y04S 50/10 : Energy trading, including energy flowing from end-user application to grid

Abstract

A system for managing power consumption in a vehicle, includes an optimizing unit for optimizing a plurality of parameters to determine a power to be consumed by the vehicle based on a plurality of power source signatures for a plurality of power sources; and an operating mode setting unit for setting an operating mode for powering the vehicle based on the determined power.

Claims

1. A system for managing power consumption in a vehicle, comprising:

a power source signature database that stores power source signatures for a plurality of power sources used in charging and refueling events within the vehicle, the power source signatures identifying an ultimate source of power;

an optimizing device which;

stores quantity data associating a quantity of the power being stored in the vehicle with the ultimate source based on the power source signatures; and

optimizes a plurality of parameters to determine a power to be consumed by the vehicle based on the quantity data; and

an operating mode setting device which sets an operating mode for powering the vehicle based on the determined power,

wherein the plurality of parameters includes an environmental impact of a power source in the plurality of power sources.

2. The system of claim 1, wherein the optimizing device comprises a modeling unit for dynamic modeling of expected power consumption for the vehicle, expected charging locations, and the plurality of power source signatures, based on a route planner that includes elevation information and a database of charging locations and refueling stations.

3. The system of claim 1, further comprising:

a power source signature generating device which generates the plurality of power source signatures, the power source signature generating device comprising one of a provider of the plurality of power sources, a governmental body and a third party non-governmental organization.

4. The system of claim 1, wherein the power source signature database is located remotely from the vehicle, and

wherein the optimizing device comprises a wireless communication device for wirelessly communicating with the power source signature database.

5. The system of claim 1, further comprising:

a wireless communication device for wirelessly coupling the vehicle with an other vehicle to determine if an exchange of power source signatures between the vehicle and the other vehicle would increase a net optimization for the vehicle and the other vehicle,

wherein if the wireless communication device determines that the exchange of power source signatures between the vehicle and the other vehicle would increase the net optimization, then the optimizing device exchanges power source signatures between the vehicle and the other vehicle.

6. The system of claim 1, wherein the plurality of parameters further comprises a range of the vehicle, a speed of the vehicle, an acceleration of the vehicle, and a life of a battery in the vehicle.

7. The system of claim 1, wherein the optimizing device and the operating mode setting device are included in one of an electronic control unit of the vehicle, and a handheld device.

8. The system of claim 1, further comprising:

a fueling/charging unit for one of fueling and charging the vehicle from the plurality of power sources.

9. The system of claim 1, wherein the optimizing device optimizes the plurality of parameters in order to minimize the environmental impact across a plurality of vehicles including the vehicle.

10. The system of claim 1, wherein the power source signatures comprise power source signatures from all charging and refueling events within the vehicle.

11. The system of claim 1, wherein the plurality of power sources comprises at least one of a coal burning power plant, a hydro-electric power source, and a wind-generated electricity power source.

12. The system of claim 1, wherein the optimizing device comprises a plurality of components including a source signature component, a charging station source component, a car database component, a route planning component, a recharging planning component, an optimization component, an automatic fuel source selection component, and an accessory modification component.

13. A method of managing power consumption in a vehicle, comprising:

storing power source signatures for a plurality of power sources used in charging and refueling events within the vehicle, the power source signatures identifying an ultimate source of power;

storing quantity data associating a quantity of the power being stored in the vehicle with the ultimate source based on the power source signatures; and

optimizing a plurality of parameters to determine a power to be consumed by the vehicle based on the quantity data; and

setting an operating mode for powering the vehicle based on the determined power,

wherein the plurality of parameters includes an environmental impact of a power source in the plurality of power sources.

14. The method of claim 13, wherein the optimizing of the plurality of parameters is performed by using a modeling unit for dynamic modeling of expected power consumption for the vehicle, expected charging locations, and the plurality of power source signatures, based on a route planner that includes elevation information and a database of charging locations and refueling stations.

15. The method of claim 13, wherein the plurality of power source signatures are generated by one of a provider of the plurality of power sources, a governmental body and a third party non-governmental organization.

16. The method of claim 13, wherein the plurality of power source signatures are stored in the power source signature database which is located remotely from the vehicle, and

wherein the optimizing of the plurality of parameters comprises using a wireless communication device to wirelessly communicate with the power source signature database.

17. The method of claim 13, further comprising:

wirelessly coupling the vehicle with an other vehicle to determine if an exchange of power source signatures between the vehicle and the other vehicle would increase a net optimization for the vehicle and the other vehicle; and

when it is determined that the exchange of power source signatures between the vehicle and the other vehicle would increase the net optimization, then exchanging power source signatures between the vehicle and the other vehicle.

18. The method of claim 13, further comprising:

acquiring information on the plurality of power sources associated with charging stations as a function of time;

acquiring information on a liquid fuel in a gas tank of the vehicle;

modifying a quantity of power or charge in the vehicle'"'"'s battery associated with each power source of the plurality of power sources;

acquiring route information; and

creating a recharging plan based on expected points of charging and expected power source signatures derived from each charging location.

19. The method of claim 18, wherein the liquid fuel comprises at least one of gasoline, ethanol and diesel fuel, and

wherein the modifying of the quantity of power or charge is performed by the vehicle.

20. A non-transitory programmable storage medium tangibly embodying a program of machine-readable instructions executable by a digital processing apparatus to perform a method of managing power consumption in a vehicle, the method comprising:

storing power source signatures for a plurality of power sources used in charging and refueling events within the vehicle, the power source signatures identifying an ultimate source of power;

storing quantity data associating a quantity of the power being stored in the vehicle with the ultimate source based on the power source signatures; and

optimizing a plurality of parameters to determine a power to be consumed by the vehicle based on the quantity data; and

setting an operating mode for powering the vehicle based on the determined power,

wherein the plurality of parameters includes an environmental impact of a power source in the plurality of power sources.