MULTI-USE ENERGY MANAGEMENT AND CONVERSION SYSTEM INCLUDING ELECTRIC VEHICLE CHARGING

• US 20120249065A1
• Filed: 08/26/2011
• Published: 10/04/2012
• Est. Priority Date: 04/01/2011
• Status: Abandoned Application

• Current Assignee: Aerovironment
• Original Assignee: Aerovironment
• Inventors: Velev, Omourtag A., Bissonette, Michael, Aagaard, Eric
• Application Number:
  US13/219,309
• Publication Number:
  US 20120249065A1
• Time in Patent Office: Days
• US Class Current: 320/109
• CPC Class Codes: B60L 53/11 DC charging controlled by the charging station, e.g. mode 4
• CPC Class Codes: B60L 53/51 Photovoltaic means
• CPC Class Codes: B60L 53/52 Wind-driven generators
• CPC Class Codes: B60L 53/53 Batteries
• CPC Class Codes: B60L 53/63 in response to network capacity
• CPC Class Codes: B60L 53/64 Optimising energy costs, e.g. responding to electricity rates
• CPC Class Codes: B60L 53/665 Methods related to measuring, billing or payment
• CPC Class Codes: H02J 2207/40 adapted for charging from various sources, e.g. AC, DC or multivoltage
• CPC Class Codes: H02J 2300/20 The dispersed energy generation being of renewable origin
• CPC Class Codes: H02J 2300/22 The renewable source being solar energy
• CPC Class Codes: H02J 2300/40 wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
• CPC Class Codes: H02J 2310/48 for electric vehicles [EV] or hybrid vehicles [HEV]
• CPC Class Codes: H02J 2310/64 The condition being economic, e.g. tariff based load management
• CPC Class Codes: H02J 3/322 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 Class Codes: H02J 3/381 Dispersed generators
• 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 70/3225 Demand response systems, e.g. load shedding, peak shaving
• 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 90/12 : Electric charging stations
• CPC Class Codes: Y02T 90/14 : Plug-in 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 20/221 : General power management systems
• CPC Class Codes: Y04S 20/222 : Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 30/12 : Remote or cooperative charging
• CPC Class Codes: Y04S 30/14 : Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing

Abstract

An energy management method for controlling electric vehicle charging by managing plural local energy sources, to optimize charging speed and minimize energy cost.

Claims

1. A method of managing electrical energy, comprising:

coupling a direct current bus to plural energy sources and to a system port that is connectable to a charging port of an electric vehicle having a battery pack, said plural energy sources comprising a local energy storage device and a utility grid;

managing energy flow between said direct current bus and said plural energy sources by performing one mode of a set of modes, said set of modes comprising;

a minimum time charging mode,

a minimum cost charging mode,

a green charging mode that enhances the fraction of energy usage from utility grid renewable sources of the utility grid,

a specified completion time charging mode;

providing on a graphical user interface a first menu representing a user-selectable choice among said set of modes and performing the mode designated by the user on said menu; and

providing on a graphical user interface a second menu listing said plurality of electrical energy sources, and prompting the user to select one of said electrical energy sources listed on said menu as a recipient of power from the direct current bus, and configuring power flow among said plural energy sources and said direct current bus in accordance with a selection by the user of the recipient of power.

2. A method of managing electrical energy, comprising:

coupling a direct current bus to plural energy sources and to a system port that is connectable to a charging port of an electric vehicle having a battery pack, said plural energy sources comprising a local energy storage device and a utility grid;

managing energy flow between said direct current bus and said plural energy sources by performing one mode of a set of modes, said set of modes comprising;

a minimum time charging mode,

a minimum cost charging mode,

a green charging mode that enhances the fraction of energy usage from utility grid renewable sources of the utility grid,

a specified completion time charging mode;

wherein said plural energy sources further comprise a local renewable energy source, and wherein said one mode comprises a return power to utility grid mode, said return power to utility grid mode comprising;

enabling power flow to said direct current bus from said local renewable energy source;

determining whether a battery pack of an electric vehicle coupled to said system port requires charging;

if said battery pack requires charging;

sensing a specified time by which said battery pack is to be fully charged,

determining, from output power levels of said set of energy sources and from the amount of charge contained in said battery pack, an amount of time required to fully charge said battery pack in said minimum time charging mode,

determining from said amount of time and from said specified time a spare time currently remaining before charging of said battery pack in said minimum time charging mode is required to commence, and

if said spare time is sufficient in accordance with a predetermined spare time criteria, enabling power flow from said battery pack to said direct current bus.

3. The method of claim 2 further comprising:

if said spare time is not sufficient in accordance with the predetermined spare time criteria, not enabling power from said battery pack to said direct current bus.

4. The method of claim 2 further comprising:

if said battery pack does not require charging, enabling power flow from said battery pack to said direct current bus.

5. The method of claim 2 further comprising:

whenever power flows from said battery pack to said direct current bus, periodically determining a new value of said spare time, and if the new value of said spare time is not sufficient in accordance with a predetermined spare time criteria, disabling power flow from said battery pack to said direct current bus.

6. The method of claim 2 further comprising:

determining whether a current energy rate of said utility grid meets a predetermined criteria;

enabling power flow from said direct current bus to said utility grid if said current energy rate meets said predetermined criteria, and otherwise postponing power flow from said direct current bus to said utility grid until said energy rate meets said predetermined criteria.

7. The method of claim 6 wherein said predetermined criteria corresponds to a predetermined threshold energy rate.

8. The method of claim 6 wherein said predetermined criteria corresponds to an energy rate or a range of energy rates prevalent during periods of peak demand.

9. The method of claim 2 further comprising enabling power flow from said direct current bus to said utility grid during successive time windows, said successive time windows selected so as to enhance or maximize income from power provided from said direct current bus to said utility grid.

10. A method of managing electrical energy, comprising:

coupling a direct current bus to plural energy sources and to a system port that is connectable to a charging port of an electric vehicle having a battery pack, said plural energy sources comprising a local energy storage device and a utility grid;

managing energy flow between said direct current bus and said plural energy sources by performing one mode of a set of modes, said set of modes comprising;

a minimum time charging mode,

a minimum cost charging mode,

a green charging mode that enhances the fraction of energy usage from utility grid renewable sources of the utility grid,

a specified completion time charging mode;

wherein said one mode is said minimum cost charging mode, and said minimum cost charging mode comprises;

charging said battery pack by flowing energy to said direct current bus from said local energy storage device,

first determining whether said utility grid is imposing an energy rate below a predetermined rate, and flowing energy from said utility grid to said direct current bus if said energy rate is below the predetermined rate;

wherein said first determining comprises;

first obtaining individual energy costs of said plural energy sources and the power contribution proportions of said plural energy sources;

for individual combinations of said plural energy sources, computing a combined energy cost as an average of corresponding ones of said individual energy costs weighted by corresponding ones of said power contribution proportions;

second obtaining a user-defined energy cost limit;

searching for a combination of said plural energy sources having a combined energy cost that is below said user-defined energy cost limit;

prior to said first determining, charging said local energy storage device with energy from another or others of said plural energy sources;

during the charging of said local energy storage device, computing a first average of said individual energy costs weighted by the corresponding power contribution proportions of those of said plural energy sources providing energy to charge said local energy storage device, and storing said first average as a local energy storage device energy cost; and

wherein said first obtaining comprises defining said local energy storage device energy cost as the energy cost of said local energy storage device.