Electronics, ASA(ALT), Phase I
Power Management for Energy Resiliency
Objective
Future fleet and hybrid propulsion aircraft will need advanced power management systems that can monitor and adjust loads throughout the power system to accommodate mission requirements. Such a system must be capable of rapid load shed for emergency operations. This topic is considered an open source/publicly available model basis. Please follow GPR rights to optimized architecture using MOSA and FACE standards.
Description
Currently, power management on board rotorcraft is basic with loads controlled by individual breakers in series. These limitations prevent optimal use of the available power and have limited capacity for robust control algorithms. These inefficiencies result in wasted fuel and increased emissions.
The purpose of this topic is to develop advanced power management technology applicable to future fleet and hybrid/electric propulsion aircraft resulting in significant fuel savings. A 1% increase in fuel efficiency can result in millions of gallons of fuel savings for the fleet over the course of a year.
Proposer must be able to demonstrate the following:
- Develop advanced power management modeling capability
- Develop an optimized power management system architecture for the UH-60 platform with scalable architecture for FVL platform applications
- Build and validate component level hardware & software in laboratory testing
- Demonstrate power management system in systems integration laboratory and vehicle integration demonstration
Upon success, electrical power systems will become more efficient and lightweight reducing the fuel burn needed to supply them while providing increased electrical power capability. Success will be measured through efficiency improvements (fuel burn, electrical efficiency), weight reductions, and reduced pilot workload (Bedford Scale) through power system automation.
Phase I
Develop power management architecture framework for UH-60 to form basis for further electrical power system advancements
Phase II
Conceptual design of advanced architecture(s) for UH-60 that is applicable to FVL. Architecture(s) will include advanced components and software concepts culminating in a down-select to an optimized architecture. Advanced software development to FACE standards based on optimized architecture design;
Software and hardware integration compatibility bench demonstration, leading to UH-60 architecture software and component integration for validation testing in a systems integration laboratory
Phase III
Integration of software/hardware into UH-60 platform for limited ground and flight demonstration
While this topic was originally geared towards aviation use cases, this technology can be strongly applicable to electric vehicle use cases. With the proliferation of this tech, there is a higher chance of commercial EV adoption.
For the actual submission dates and to submit your full proposal package, visit the DSIP Portal.
References:
Ali AM, Söffker D. Towards Optimal Power Management of Hybrid Electric Vehicles in Real-Time: A Review on Methods, Challenges, and State-Of-The-Art Solutions. Energies. 2018; 11(3):476. https://doi.org/10.3390/en11030476
Objective
Future fleet and hybrid propulsion aircraft will need advanced power management systems that can monitor and adjust loads throughout the power system to accommodate mission requirements. Such a system must be capable of rapid load shed for emergency operations. This topic is considered an open source/publicly available model basis. Please follow GPR rights to optimized architecture using MOSA and FACE standards.
Description
Currently, power management on board rotorcraft is basic with loads controlled by individual breakers in series. These limitations prevent optimal use of the available power and have limited capacity for robust control algorithms. These inefficiencies result in wasted fuel and increased emissions.
The purpose of this topic is to develop advanced power management technology applicable to future fleet and hybrid/electric propulsion aircraft resulting in significant fuel savings. A 1% increase in fuel efficiency can result in millions of gallons of fuel savings for the fleet over the course of a year.
Proposer must be able to demonstrate the following:
- Develop advanced power management modeling capability
- Develop an optimized power management system architecture for the UH-60 platform with scalable architecture for FVL platform applications
- Build and validate component level hardware & software in laboratory testing
- Demonstrate power management system in systems integration laboratory and vehicle integration demonstration
Upon success, electrical power systems will become more efficient and lightweight reducing the fuel burn needed to supply them while providing increased electrical power capability. Success will be measured through efficiency improvements (fuel burn, electrical efficiency), weight reductions, and reduced pilot workload (Bedford Scale) through power system automation.
Phase I
Develop power management architecture framework for UH-60 to form basis for further electrical power system advancements
Phase II
Conceptual design of advanced architecture(s) for UH-60 that is applicable to FVL. Architecture(s) will include advanced components and software concepts culminating in a down-select to an optimized architecture. Advanced software development to FACE standards based on optimized architecture design;
Software and hardware integration compatibility bench demonstration, leading to UH-60 architecture software and component integration for validation testing in a systems integration laboratory
Phase III
Integration of software/hardware into UH-60 platform for limited ground and flight demonstration
While this topic was originally geared towards aviation use cases, this technology can be strongly applicable to electric vehicle use cases. With the proliferation of this tech, there is a higher chance of commercial EV adoption.
For the actual submission dates and to submit your full proposal package, visit the DSIP Portal.
References:
Ali AM, Söffker D. Towards Optimal Power Management of Hybrid Electric Vehicles in Real-Time: A Review on Methods, Challenges, and State-Of-The-Art Solutions. Energies. 2018; 11(3):476. https://doi.org/10.3390/en11030476