Power system

• US 8,103,386 B2
• Filed: 07/23/2007
• Issued: 01/24/2012
• Est. Priority Date: 08/25/2006
• Status: Expired due to Fees

• Current Assignee: Toyota Jidosha Kabushiki Kaisha (Toyota Motor Corporation)
• Original Assignee: Toyota Jidosha Kabushiki Kaisha (Toyota Motor Corporation)
• Inventors: Ichikawa, Shinji, Ishikawa, Tetsuhiro
• Primary Examiner(s): Bahta, Kidest
• Application Number:
  US12/308,900
• Publication Number:
  US 20090192655A1
• Time in Patent Office: 1,646 Days
• Field of Search: 700/286, 700/287, 700/291, 700/297, 702/62, 320/109
• US Class Current: 700/286
• CPC Class Codes: B60L 53/14 Conductive energy transfer
• CPC Class Codes: B60L 53/18 Cables specially adapted for charging electric vehicles
• CPC Class Codes: B60L 53/20 characterised by converters located in the vehicle
• CPC Class Codes: B60L 53/30 Constructional details of charging stations
• CPC Class Codes: B60L 53/51 Photovoltaic means
• CPC Class Codes: B60L 53/52 Wind-driven generators
• CPC Class Codes: B60L 53/54 Fuel cells
• CPC Class Codes: B60L 53/64 Optimising energy costs, e.g. responding to electricity rates
• 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: H02J 2310/48 for electric vehicles [EV] or hybrid vehicles [HEV]
• CPC Class Codes: H02J 2310/54 according to a pre-established time schedule
• CPC Class Codes: H02J 2310/60 Limiting power consumption in the network or in one section of the network, e.g. load shedding or peak shaving
• CPC Class Codes: H02J 3/003 Load forecast, e.g. methods or systems for forecasting future load demand
• CPC Class Codes: H02J 3/144 Demand-response operation of the power transmission or distribution network
• CPC Class Codes: H02P 2209/01 Motors with neutral point connected to the power supply
• 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 10/64 Electric machine technologies in electromobility
• 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 90/16 : 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 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

A data acquiring unit (122) acquires external factor data such as day of the week, date and time, or weather together with electric power data in a house, and stores the data in a storage unit (114). A classification/learning unit (124) reads the electric power data and the external factor data stored in the storage unit (114), and classifies/learns the read data. A scheduling unit (126) predicts a house power demand on the basis of the classified/learned data, and plans the charge/discharge of a vehicle according to the result of prediction. A command generating/outputting unit (128) generates a charge/discharge command of the vehicle according to the charge/discharge schedule.

Claims

1. A power system, comprising:

a vehicle configured to be capable of outputting electric power stored in a power storage device to the outside of the vehicle and capable of charging said power storage device from the outside of the vehicle;

a connecting device configured to be capable of receiving and supplying electric power between said vehicle and a power line in a house; and

a power management device managing electric power in said house, wherein

said power management device includes;

a data storage unit storing data of electric power supplied to said house and electric power consumed by said house, and data corresponding to an external factor having an influence on increase/decrease of said supplied electric power and said consumed electric power, and

a first controller controlling charge/discharge of the vehicle electrically connected to said house by said connecting device, based on the data stored in said data storage unit.

2. The power system according to claim 1, wherein

said vehicle includes:

said power storage device,

a voltage converting device configured to be capable of converting voltage between said power storage device and said power line in said house connected by said connecting device,

a communication device for communication with said power management device by said connecting device, and

a second controller controlling said voltage converting device based on a command received from said power management device by said communication device.

3. The power system according to claim 1, wherein

said first controller includes:

a classification unit classifying electric power data stored in said data storage unit based on the external factor data stored in said data storage unit, and

a planning unit planning charge/discharge of the vehicle connected to said house by said connecting device, based on the data classified by said classification unit.

4. The power system according to claim 3, wherein

said classification unit classifies the electric power data stored in said data storage unit, using any of cluster analysis, hidden Markov model and neural network techniques.

5. The power system according to claim 3, wherein

said planning unit plans charge/discharge of said vehicle based on amount of carbon dioxide emitted for generating electric power consumed by said house.

6. The power system according to claim 3, wherein

said planning unit plans charge/discharge of said vehicle based on electric power cost of said house.

7. The power system according to claim 3, wherein

said power management device further includes a setting unit allowing a user to set a charge/discharge plan of said vehicle;

and

said planning unit plans charge/discharge of said vehicle based on the charge/discharge plan set by said setting unit.