Method and system for power management in a hybrid electric vehicle

• US 8,606,513 B2
• Filed: 12/21/2011
• Issued: 12/10/2013
• Est. Priority Date: 12/21/2011
• Status: Expired due to Fees

• Current Assignee: Fujitsu Limited
• Original Assignee: Fujitsu Limited
• Inventors: Chen, Wei-Peng
• Primary Examiner(s): EL CHANTI, HUSSEIN A
• Application Number:
  US13/333,701
• Publication Number:
  US 20130166116A1
• Time in Patent Office: 720 Days
• Field of Search: 701/22, 701/424, 701/423
• US Class Current: 701/423
• CPC Class Codes: B60L 15/2045 for optimising the use of energy
• CPC Class Codes: B60L 2200/10 Air crafts
• CPC Class Codes: B60L 2200/18 Buses
• CPC Class Codes: B60L 2200/26 Rail vehicles
• CPC Class Codes: B60L 2200/30 Trolleys
• CPC Class Codes: B60L 2200/32 Waterborne vessels
• CPC Class Codes: B60L 2200/40 Working vehicles
• CPC Class Codes: B60L 2200/42 Fork lift trucks
• CPC Class Codes: B60L 2240/547 Voltage
• CPC Class Codes: B60L 2240/549 Current
• CPC Class Codes: B60L 2240/622 by satellite navigation
• 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 2260/44 by parameter estimation
• CPC Class Codes: B60L 3/12 Recording operating variables ; Monitoring of operating variables
• CPC Class Codes: B60L 50/16 with provision for separate direct mechanical propulsion
• CPC Class Codes: B60L 53/14 Conductive energy transfer
• CPC Class Codes: B60L 53/665 Methods related to measuring, billing or payment
• CPC Class Codes: B60L 58/12 responding to state of charge [SoC]
• CPC Class Codes: B60W 20/12 using control strategies taking into account route information estimation or calculation of non-directly measurable driving parameters B60W40/00
• CPC Class Codes: B60W 2556/10 : Historical data
• 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 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 30/14 : Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing

Abstract

In accordance with some embodiments of the present disclosure, a method may include recording trip information associated with a vehicle, the trip information including parameters associated with previous trips taken by the vehicle. The method may also include a first portion of power to be delivered by an electric motor and a second portion of power to be delivered by an engine configured to convert chemical energy to mechanical energy for driving one or more components of the vehicle based at least on the trip information and a state of charge of an energy storage device configured to provide electrical energy to a electric motor configured to convert electrical energy to mechanical energy for driving one or more components of the vehicle.

Claims

1. A vehicle comprising:

an electric motor powered from an energy storage device and configured to convert electrical energy to mechanical energy for driving one or more components of the vehicle;

an engine configured to convert chemical energy to mechanical energy for driving one or more components of the vehicle; and

a controller configured to;

record trip information associated with the vehicle, the trip information including parameters associated with previous trips taken by the vehicle;

automatically determine a classification of a present trip of the vehicle based on one or more conditions for the trip;

retrieve trip information for previous trips taken by the vehicle under the one or more conditions based at least on the classification; and

based at least on the retrieved trip information and a state of charge of the energy storage device, determine a first portion of power to be delivered by the electric motor and a second portion of power to be delivered by the engine.

2. A vehicle according to claim 1, the one or more conditions comprising at least one of a time of day and a day of week.

3. The vehicle according to claim 1, wherein the one or more conditions comprise traffic conditions based on real-time traffic information.

4. The vehicle according to claim 1, the controller further configured to determine the first portion and the second portion based at least on the trip information, the state of charge, and at least one other parameter.

5. The vehicle according to claim 4, further comprising, wherein the at least one other parameter comprises at least one of a current vehicle velocity and the demanded power.

6. The vehicle according to claim 4, wherein the at least one other parameter comprises an amount of fuel remaining in the vehicle.

7. The vehicle according to claim 4, wherein the at least one other parameter comprises at least one of a location of at least one recharging facility for the energy storage device and a cost associated with recharging at a recharging facility.

8. The vehicle according to claim 1, the controller further configured to determine the first portion and the second portion based at least on the trip information, the state of charge, and present trip information, wherein the present information includes parameters associated with a present trip of the vehicle.

9. The vehicle according to claim 1, the controller further configured to determine the first portion and the second portion based at least on the difference between the trip information for a recently completed segment of the trip and present trip information for the recently completed segment, the state of charge, and the trip information for a remaining portion of a trip.

10. A method comprising:

recording trip information associated with a vehicle, the trip information including parameters associated with previous trips taken by the vehicle;

automatically determining a classification, by a processor of the vehicle, a present trip of the vehicle based on one or more conditions for the trip;

retrieving, by the processor of the vehicle, trip information for previous trips taken by the vehicle under the one or more conditions based at least on the classification; and

determining, by the processor of the vehicle, a first portion of power to be delivered by an electric motor and a second portion of power to be delivered by an engine based at least on the retrieved trip information and a state of charge of an energy storage device configured to provide electrical energy to the electric motor, the electric motor configured to convert electrical energy to mechanical energy for driving one or more components of the vehicle and the engine configured to convert chemical energy to mechanical energy for driving one or more components of the vehicle.

11. The method according to claim 10, the one or more conditions comprising at least one of a time of day and a day of week.

12. The method according to claim 10, wherein the one or more conditions comprise traffic conditions based on real-time traffic information.

13. The method according to claim 10, further comprising determining the first portion and the second portion based at least on the trip information, the state of charge, and at least one other parameter.

14. The method according to claim 13, wherein the at least one other parameter comprises at least one of a current vehicle velocity and the demanded power.

15. The method according to claim 13, wherein the at least one other parameter comprises an amount of fuel remaining in the vehicle.

16. The method according to claim 13, wherein the at least one other parameter comprises at least one of a location of at least one recharging facility for the energy storage device and a cost associated with recharging at a recharging facility.

17. The method according to claim 10, further comprising determining the first portion and the second portion based at least on the trip information, the state of charge, and present trip information, wherein the present information includes parameters associated with a present trip of the vehicle.

18. The method according to claim 10, further comprising determining the first portion and the second portion based at least on the difference between the trip information for a recently completed segment of the trip and present trip information for the recently completed segment, the state of charge, and the trip information for a remaining portion of a trip.

19. The method according to claim 10, further comprising delivering the determined first portion of power using the electric motor.