From Battery R&D to U.S. Manufacturing: Data-Driven Tools for Scale-Up and Commercialization
Join us for a live demonstration of new tools developed by PNNL, ANL, and LBNL
In this webinar, researchers from Pacific Northwest National Laboratory (PNNL), Argonne National Laboratory (ANL), and Lawrence Berkeley National Laboratory (LBNL) will introduce and demonstrate three complementary tools designed to help reduce uncertainty during scale-up, inform research and development and investment decisions, and support a stronger domestic battery manufacturing and supply chain. This software is publicly available and was developed with funding support from the Department of Energy Advanced Materials and Manufacturing Technologies Office.
Featured subject matter experts:
LBNL – Gao Liu, Senior Scientist
LBNL – Jason Porzio, Postdoctoral Researcher
CliMBS
This tool is focused on next-generation lithium-metal batteries that estimate manufacturing costs across different technologies and production scales. Information from CliMBS can help researchers, manufacturers, and investors understand the potential costs and tradeoffs involved in scaling these batteries.
PNNL – Bingbin Wu, Materials Scientist
PNNL – Qixuan Jiang, PhD Intern
COSTIME
This AI-enabled platform is designed to support battery innovation across a range of technologies. COSTIME brings together battery design, manufacturing costs, smart manufacturing, supply-chain information, and commercialization analysis to help identify and address challenges between laboratory development and large-scale production.
Together, these tools offer complementary perspectives on one of the key challenges facing emerging battery technologies: how to move promising innovations from the lab to reliable, cost-competitive manufacturing in the United States.
ANL – Kevin Knehr, Chemical Engineer
BatPaC-Flow and FlowBaCC
These tools are focused on redox flow batteries that connect battery design and performance with manufacturing costs, production scale, learning over time, and potential market adoption. Both tools help identify approaches for making these technologies more cost-competitive as manufacturing scales up.
