SBIR/STTR Research Award

STTR Phase I: Integrated GaN FET based high density on board EV charger

Award identifier fe4cffa2688a3f50e87f89fb75bd6d1a5a5c3808f25e923e958b7b525ecdaaf6Awarding agency National Science Foundation

Award amount

$224,928

Program and phase

STTR · Phase I

Award year

2019

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
National Science Foundation
Branch
Not reported
Recipient company
TAGORE TECHNOLOGY, Inc.
Proposal award date
2019-07-01
Contract end date
2020-06-30
UEI
QGU8SFU2UW41
Solicitation number
Not reported
Topic code
EW

Research abstract

The broader impact/commercial potential of this project is the development of a high-power GaN half-bridge (HPGHB) module which is a generic building block for most power-electronic systems. Hence, HPGHB can be used in most high current converter applications. This project will start with high electric-vehicle (EV) application in collaboration with a well-known automotive parts maker. EVs need to be widely adopted in advanced cities and in the rural/underdeveloped world. High-power off-board charger may not always be available; hence high-power on-board charger (OBC), which is the topic of this STTR, is a critical enabler for wider adoption of EV leading to reduced carbon emission. On the educational front, this STTR will help train graduate students at the University to use GaN for power electronics which is a high demand area. Companies will be able to recruit and benefit from training of graduate students. Finally, regarding knowledge dissemination, technology developed under this proposal will be showcased in an exhibition booth at IEEE conferences like APEC and ECCE. This Small Business Technology Transfer (STTR) Phase I project aims to develop a robust and high-current HPGHB and a reference design for a fast-OBC by incorporating HPGHB. High-current integrated GaN HB is extraordinarily challenging from the point of high dV/dT control, short-circuit protection and thermal management. HPGHB is planned for areas where long-term reliability is important, such as in automotive/EV applications. This STTR plans to research design of HPGHB with various knobs to increase its reliability in demanding applications including EVs. Development of a fast-OBC with high efficiency and high-power density will accelerate the adoption of EVs. Planned OBC plans to use innovative multi-level topologies to enable use of low-cost 650V GaN-HEMT technology. Key challenges for this STTR project are a) protection against very-high dV/dt (of at least 150V/nS); b) protection against short circuit to prevent catastrophic damage; c) high efficiency to reduce cooling requirement and reduce size and weight; d) multilevel converter to enable usage of relatively-lower cost GaN-on-Si technology; e) good long-term reliability for automotive/EV market is addressed via dynamic high-temperature-operating-life (HTOL) test; and f) reduced overall system cost by minimizing the cost related to hot probing of the wafer which is the current practice. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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.

Research funding history

2 SBIR/STTR records share this UEI (2019–2022). Reported award amounts total $1,203,015. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: National Science Foundation

Agency intelligence

National Science Foundation

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.