The Boeing Company

Steven B Helton

Kamiar J Karimi

Trevor Milton Laib

Joseph S Breit

Shengyi Liu

Mark Eugene Liffring

Matthew J Patterson

Sheau-Wei (Johnny) Fu

Daniel Guerin

Paul I Handel

Nicholas C Strauss

Thomas M Barrett

Lisa K Koelewyn

James D Waterman

Vehicles, systems, and methods are disclosed for providing and directing first power, such as vehicle generator power, and alternate sources of power. In a particular embodiment, a vehicle includes a power distribution grid that includes a plurality of power sources and a plurality of distributions buses configured to distribute power from the plurality of power sources. The plurality of power sources include an engine-driven power source is configured to provide first power where the first power has first power characteristics. The plurality of power sources also includes a plurality of engine-independent power sources including a first alternate power source configured to provide first alternate power. The first alternate power has first alternate power characteristics that are different than the first power characteristics. The plurality of engine-independent power sources also includes a second alternate power source configured to provide second alternate power. The second alternate power has second alternate power characteristics that are different from the first power characteristics and different from the first alternate power characteristics. The vehicle also includes a global controller that sends control signals to control generation of power by the engine-driven power source, the first alternate power source and the second alternate power source via the plurality of distribution buses responsive to power demand of the power distribution grid.

Vehicle electrical power management and distribution

Systems and methods are disclosed for energy control and vehicle energy control. A vehicle energy control system includes an intelligent device that is configured to determine an energy demand of the intelligent device during an operation of a vehicle. The vehicle energy control system also includes an energy management system. The energy management system is configured to communicate with the intelligent device regarding the energy demand to coordinate scheduling of energy distribution during the operation. The energy management system is further configured to generate an energy distribution schedule to account for the energy demand and at least a second energy demand of another device.

Intelligent energy management architecture

Systems and methods are disclosed for a power control system including intelligent devices. A vehicle power control system includes a power supply configured to supply a first quantity of power to at least one device configured to consume power based on a first power demand. The vehicle power control system also includes an intelligent device configured to determine a second power demand for the intelligent device during a vehicle operation. The vehicle power control system also includes an energy management system. The energy management system is configured to communicate with the at least one the intelligent device regarding the second power demand of the at least one intelligent device to coordinate scheduling of power distribution during the vehicle operation in order to generate a power distribution schedule to account for the first power demand of the at least one device and the second power demand of the at least one intelligent device. The energy management system directs the first quantity of power to the at least one device according to the first power demand of the at least one device and directs a second quantity of power to the at least one intelligent device according to the power distribution schedule.

An intelligent control system for directing a process for curing parts made of fiber-reinforced composite material in an autoclave. The system uses data gathered during the curing processing to calculate repetitively the temperature of the autoclave required to establish and maintain a predetermined cure temperature. The system accounts for heat generated by the exothermal reaction of the resin during polymerization. The control recalculates an optimal autoclave temperature at periodic intervals during the cure cycle on the basis of temperature data from the part being cured and temperature within the autoclave. The optimal autoclave temperature is determined from calculated values representing resin heat, maximum offset, lag time and degree of cure of the resin. Control signals produced by a computer that executes control algorithms stored in electronic memory accessible to the processor cause corresponding changes in the temperature of the autoclave needed to cure the part without overheating and in less time than with a conventional autoclave temperature control.

Optimal composite curing system and method

Growing community of inventors

Redmond, WA, United States of America

Steven B Helton