Project Grant 2527316
- This $415,746 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) to Texas Tech University System supports the development of intelligent battery management systems with novel reinforcement learning and machine learning methods. The key products and services to be delivered include: Developing deep reinforcement learning-based methods to enable safe and adaptive fast-charging protocols for electric vehicle batteries. Creating efficient and...
- The National Science Foundation (NSF) awarded a $289,431 Project Grant under the Engineering program (CFDA 47.041) to Southern Methodist University (SMU) to develop an AI-enabled digital twin framework to enhance the long-term reliability and safety of lithium-ion (Li-ion) batteries under extreme conditions. The 2-year project aims to create a high-fidelity digital twin model incorporating key electrochemical dynamics to simulate and predict battery performance and aging in challenging operating...
- This $200,000 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to utilize ultrasonic guided waves to study lithium-ion battery degradation and develop robust algorithms for accurately predicting the state of charge, state of health, and remaining useful life of batteries in real-time. The research project, conducted by South Dakota State University (SDSU), is focused on addressing the challenges posed by natural battery degradation, which...
- This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $274,951 to Parthian Battery Solutions LLC will develop a novel technology to rapidly and accurately assess the state of health of second-life lithium-ion batteries. The technology will utilize advanced battery modeling and data analytics to determine the overall battery health beyond just capacity degradation, enabling more informed decision-making for repurposing retired...
- This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $467,544 to Brown University to conduct research and development on rational design of fast-charging, composite electrodes with next-generation battery materials and complex architectures. The goal is to develop safer, cheaper, and more efficient battery technologies to support widespread adoption of electric vehicles. The 3-year project, running from October 1, 2025 to September 30,...
- This NSF Project Grant for $320,000.00, awarded to Oakland University and running from May 2025 to April 2028, aims to advance sustainable electrification systems through the development of a novel estimation and monitoring framework that requires fewer sensors for repurposing retired electric vehicle batteries. The key objectives are to: (1) develop a dense extended Kalman filter to simultaneously estimate parameters for a large number of connected cells without requiring sensor measurements...
- This National Science Foundation (NSF) Integrative Activities (CFDA 47.083) project grant award of $279,105 to the University of Alabama in Huntsville (UAH) aims to develop transformative solutions for enhancing the capabilities of electric vehicle battery management systems. The key products to be delivered include: An interconnected electro-thermal-aging model of a lithium-ion battery pack to better understand the interplay between electrical, thermal, and aging behavior and their impact on...
- This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $549,771 to the University of Houston System to research the formation of pore-free interlayers for solid-state lithium metal batteries. The project aims to address interfacial challenges in these batteries by focusing on the development of a metal-carbon mixed ionic-electronic conductor (C-MIEC) interlayer material. The research will combine automated in situ diagnostic technologies,...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $598,503 project grant to the University of Texas at Austin to support fundamental research aimed at developing a scalable manufacturing technology for liquid metal anodes in sodium batteries. The project, titled "BRITE PIVOT: MANUFACTURING NEXT GENERATION LOW-COST HIGH-CAPACITY BATTERIES," seeks to address key challenges in the new battery manufacturing process, including ion diffusion limitations,...
- This $357,720 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will fund a study examining the impact of learning-by-doing and government actions on the global electric vehicle (EV) battery industry. The study will compile comprehensive data on EV sales, prices, attributes, and battery suppliers across 13 leading EV markets. The researchers will then develop a structural model to assess how battery costs evolve...
This federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $600,000 in funding to the Texas A&M Engineering Experiment Station (Tees) to research and develop novel robotic solutions for repairing aged electric vehicle (EV) batteries. The project, titled "BRITE PIVOT: DEEP ROBOTIC EV BATTERY REPAIR: AN LLM-POWERED TASK-MOTION-MANIPULATION PLANNING FRAMEWORK," aims to leverage emerging artificial intelligence (AI) technologies, particularly large language models (LLMs), to enhance robotic capabilities for safe and economically viable EV battery repair. This research has the potential to extend the lifespan of EV batteries, manage the growing volume of aged batteries, address skilled labor shortages, and promote a sustainable domestic battery supply chain. The award period runs from Jan 1, 2026 to Dec 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 8/4/25 |