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Dynamic Model Reduction for Battery Repurposing in Human Space Flights
Completed
TRL 2 (started at 2, targeting 4)
Description
The goal of this project is to develop a dynamic model reduction (DMR) framework for battery “state-of-health” and “state-of-safety” monitoring in human space flights that enables: i) maximal characterization of lithium-ion (Li-ion) batteries; ii) in physics-based terms; iii) based on the available cycling data; iv) at each stage of the battery life; and v) in the required range of operations. Maximal characterization of in-service batteries is critical to develop physics-based informed decisions on repurposing batteries during human space flights.
Benefits
This project will benefit NASA and others by developing a dynamic model reduction (DMR) framework for accurate monitoring of lithium-ion batteries in human spaceflight. By maximizing characterization with limited data; this approach enhances battery reliability; informs decisions on repurposing; and addresses logistical challenges as more diverse batteries are introduced in future missions.
Details
| Technology area | Autonomous Systems > Situational and Self-Awareness Technologies > State Estimation and Monitoring |
| Program | Center Innovation Fund: ARC CIF (ARC CIF) |
| Lead organization | Ames Research Center, Moffett Field, CA |
| Start date | 2024-10-01 |
| End date | 2025-09-30 |
Project contacts
Listed on TechPort itself — the most direct way to ask about this specific project.
How to get involved
This is early/mid-stage (TRL 2) — the most realistic path in is NASA SBIR/STTR, which funds small businesses and research institutions to develop technology aligned with NASA's needs (equity-free, phased funding). Check whether a current SBIR/STTR solicitation topic overlaps with this project's technology area, or contact the project directly (above) to ask.
None of these are guaranteed paths for this specific project — TechPort itself doesn't have an "apply" button. Reaching out to the contact(s) above with a specific question is usually the fastest way to find out what's actually open.