Modular battery network system with life-optimal power management

• US 8,406,936 B1
• Filed: 08/01/2011
• Issued: 03/26/2013
• Est. Priority Date: 06/05/2007
• Status: Active Grant

• Current Assignee: The Boeing Co.
• Original Assignee: The Boeing Co.
• Inventors: Borumand, Mori M., Mansouri, Ali R., Vian, John L.
• Primary Examiner(s): ALGAHAIM, HELAL A
• Application Number:
  US13/195,113
• Time in Patent Office: 603 Days
• Field of Search: 701/3, 700/286, 700/291, 700/292, 700/295, 700/297
• US Class Current: 700/295
• CPC Class Codes: B64D 2221/00 Electric power distribution systems onboard aircraft
• CPC Class Codes: H02J 1/14 Balancing the load in a network
• CPC Class Codes: H02J 2310/44 for aircrafts
• CPC Class Codes: H02J 4/00 Circuit arrangements for mains or distribution networks not specified as ac or dc
• CPC Class Codes: H02J 7/0048 Detection of remaining charge capacity or state of charge [SOC]
• CPC Class Codes: H02J 7/005 Detection of state of health [SOH]

Abstract

A system and methods for life optimal power management of a distributed or centralized battery network system for use in aircraft functions and subsystems are disclosed. The method determines power priority of the subsystems, and selectively distributes power from the battery network system to the subsystems based on the power priority. Concurrently with distributing power, the method manages the energy in the battery network system. To determine whether the battery power is sufficient for aircraft functions, the method also computes and indicates the actual available energy left in the battery network systems. With this approach, the system and methods can provide a persistent power supply in the event an unexpected battery failure occurs, thereby enabling the aircraft to safely maintain flight operability despite a battery failure.

Claims

1. A modular energy storage network system for an aircraft having a plurality of one of subsystems and functions, the system comprising:

a plurality of distributed modular battery networks, each modular battery network being at a location distinct from other battery networks, each modular battery network including at least one self-contained energy storage device, each modular battery network being fully independent from each of the plurality of one of subsystems and functions;

a power distribution module coupled to each of the plurality of distributed modular battery networks, the power distribution module being configured to;

determine a total available capacity for each modular battery network by adding an available capacity for each battery in a respective modular battery network;

determine a power priority for each of the plurality of one of subsystems and functions; and

selectively distribute power from the plurality of distributed modular battery networks to at least one of the plurality of one of subsystems and functions based on the power priority for each of the plurality of one of subsystems and functions and the total available capacity for each modular battery network.

2. The modular energy storage network system of claim 1, further comprising:

at least one operating status parameter associated with each of the plurality of distributed modular battery networks; and

an energy source management module coupled to each of the plurality of distributed modular battery networks, the energy source management module being configured to manage health of each of the plurality of distributed modular battery networks based on the at least one operating status parameter of each of the plurality of distributed modular battery networks.

3. The modular energy storage network system according to claim 2, wherein the energy source management module is further configured to:

monitor the operating status parameters of each of the plurality of distributed modular battery networks;

selectively charge/discharge each of the plurality of distributed modular battery networks based on the at least one operating status parameter;

compute available energy in each of the plurality of distributed modular battery networks based on the at least one operating status parameter; and

indicate the available energy.

4. The modular energy storage network system according to claim 2, wherein the at least one operating status parameter comprises:

a charging/discharging rate for each of the plurality of distributed modular battery networks;

a relative discharging rate for each of the plurality of distributed modular battery networks; and

a remaining life for each of the plurality of distributed modular battery networks.

5. The modular energy storage network system of claim 1, wherein at least one of the plurality of distributed modular battery networks comprises a single battery.

6. The modular energy storage network system of claim 1, wherein at least one of the plurality of distributed modular battery networks comprises a plurality of batteries.

7. The modular energy storage network system according to claim 6, wherein the power distribution module is further configured to:

allocate the plurality of batteries based on which of the plurality of batteries have sufficient capacity to supply power to at least one of the plurality of one of subsystems and functions; and

provide power from the plurality of batteries to at least one of the plurality of one of subsystems and functions in response to the allocation and in response to the power priority for the at least one of the plurality of one of subsystems and functions.

8. The modular energy storage network system according to claim 1, wherein the power priority being based on:

a sequence of operation of the plurality of one of subsystems and functions; and

a forecasted power requirement for operating each of the plurality of one of subsystems and functions.

9. A modular energy storage network system for an aircraft having a plurality of one of subsystems and functions, the system comprising:

a plurality of distributed modular battery networks, each modular battery network being at a location distinct from other battery networks, each modular battery network including at least one self-contained energy storage device, each modular battery network being fully independent from each of the plurality of one of subsystems and functions and at least two of the modular battery networks of the plurality of distributed modular battery networks connected in series;

a power distribution module coupled to each of the plurality of distributed modular battery networks, the power distribution module being configured to;

determine a total available capacity for each modular battery network by adding an available capacity for each battery in a respective modular battery network;

determine a power priority for each of the plurality of one of subsystems and functions; and

selectively distribute power from the plurality of distributed modular battery networks to at least one of the plurality of one of subsystems and functions based on the power priority for each of the plurality of one of subsystems and functions.

10. The modular energy storage network system of claim 9, wherein at least one of the plurality of distributed modular battery networks comprises a plurality of batteries, and

wherein the plurality of distributed modular battery networks comprise a plurality of batteries connected to one another in one of series and parallel.

11. The modular energy storage network system of claim 9, further comprising:

at least one operating status parameter associated with each of the plurality of distributed modular battery networks; and

an energy source management module coupled to the plurality of distributed modular battery networks, the energy source management module being configured to manage health of the plurality of distributed modular battery networks based on the at least one operating status parameter of each of the plurality of distributed modular battery networks.

12. The modular energy storage network system of claim 9, wherein the power distribution module is further configured to:

allocate the plurality of distributed modular battery networks based on which of the plurality of distributed modular battery networks have sufficient capacity to supply power to at least one of the plurality of one of subsystems and functions; and

provide power from the plurality of distributed modular battery networks to the at least one of the plurality of one of subsystems and functions in response to the allocation and in response to the power priority for each of the plurality of one of subsystems and functions.

13. A computer-implemented method for managing power for an aircraft having a plurality of one of subsystems and functions, the method comprising:

providing a computing device;

electrically coupling at least one of a plurality of distributed modular battery networks and a power management module to at least one of the plurality of one of subsystems and functions of the aircraft, each of the plurality of distributed modular battery networks being fully independent from each of the plurality of one of subsystems and functions;

determining, by the computing device, a total available capacity for each of the plurality of distributed modular battery networks by adding an available capacity for each battery in a respective modular battery network, and a power priority for each of the plurality of one of subsystems and functions with the power management module; and

controlling, by the computing device, the selective distribution of power from the at least one of a plurality of distributed modular battery networks to the at least one of the plurality of one of subsystems and functions based on the power priority for each of the plurality of one of subsystems and functions and the total available capacity for each of the plurality of distributed modular battery networks.

14. The method of claim 13, wherein the at least one of the plurality of distributed modular battery networks comprises a plurality of batteries, where each modular battery network being at a location distinct from other battery networks.

15. The method of claim 13, wherein the at least one of the plurality of distributed modular battery networks comprises one or more batteries connected to one another in series or parallel, and

wherein at least two of the plurality of distributed battery networks being connected to one other in one of series and parallel.

16. The method of claim 13, further comprising:

determining, by the computing device, a plurality of first parameters related to functional criticality of the plurality of one of subsystems and functions, wherein determining the power priority for each of the plurality of one of subsystems and functions is based on the plurality of first parameters;

monitoring, by the computing device, a plurality of second parameters related to operating status of a plurality of batteries of the at least one of the plurality of distributed modular battery networks;

controlling, by the computing device, charging/discharging selectively at least one of the plurality of batteries in response to the second parameters;

computing, by the computing device, based on the second parameters, available energy in the plurality of batteries; and

indicating the available energy.

17. The method according to claim 16, wherein the plurality of first parameters indicate:

a sequence of operation of the plurality of one of subsystems and functions; and

a forecasted power requirement for operating each of the plurality of one of subsystems and functions.

18. The method according to claim 16, wherein the second parameters indicate:

a charging/discharging rate for each of the plurality of batteries;

a relative discharging rate for each of the plurality of batteries; and

a remaining life for each of the plurality of batteries.