SBIR/STTR Research Award

Topic 9a. High Conversion Cell-Level Battery Power Converter

Award identifier 445421d0148ad3ba62a4ea0aacbda3e6273376217c8fd85a56a25659a0be8c86Awarding agency Department of Energy

Award amount

$198,999

Program and phase

SBIR · Phase I

Award year

2023

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
MAINSTREAM ENGINEERING CORP
Proposal award date
2023-07-10
Contract end date
2024-04-09
UEI
YR8FJBGXWRR1
Solicitation number
DE-FOA-0002903
Topic code
C56-09a

Research abstract

With the aggressive adoption of renewable energy sources, the demand for reliable, efficient energy storage systems continues to grow in step. By 2030, the Li-ion battery energy storage systems are expected to exceed 2 TWh of energy storage, creating a market opportunity for efficient power conversion systems. With the rapid advancement of wide-bandgap semiconductors, the next generation of power converters can eliminate up to 90% of the power losses experienced by their silicon-based counterparts. In addition to the increased efficiency, the wide-bandgap semiconductors can be pushed to much higher frequencies, greatly shrinking the magnetics of the power converters and increasing the power density. These next-generation power conversion systems will further facilitate the adoption of renewable energy sources by increasing system efficiency and power density to levels not commercially available today. This proposal features a novel cell-level DC-DC converter topology, based on wide-bandgap semiconductors and custom planar magnetics, to drive the miniaturization and electrical performance of the system. This converter features a modular structure and control scheme allowing it to be integrated into systems of different sizes and power levels. The efficiency, power density, and modularity of the converter will demonstrate an increase in performance of next-generation power conversion systems providing economic incentive for commercial adoption. During Phase I, high fidelity models and simulations will be developed to demonstrate the system level benefits. Prototypes of the custom magnetics will be designed, constructed, and tested to verify performance. Finally, a full set of schematics and printed circuit board layouts will be developed allowing the project to rapidly progress to system-level integration in Phase II. This next-generation power converter can be integrated into a full-scale battery storage system of varying power levels. Phase II will demonstrate this capability by implementing a 2-kW single phase off-grid system. Pending a successful Phase I/II effort, this power conversion system will demonstrate its commercial potential for small, efficient battery energy storage systems leveraging the technology to Phase III and beyond.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

518 SBIR/STTR records share this UEI (1987–2025). Reported award amounts total $184,860,329. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, Department of Energy, National Aeronautics and Space Administration, Department of Transportation, Department of Health and Human Services, Environmental Protection Agency

Agency intelligence

Department of Energy

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.