LF Energy’s Battery Data Alliance and Microsoft Release Standardized Battery Dataset to Accelerate Storage Interoperability
SAN FRANCICSCO — March 30, 2026 — LF Energy, the open source foundation accelerating the energy transition, today announced the release of a new standardized battery dataset to the LF Energy Battery Data Alliance (BDA) contributed by Microsoft’s Surface Battery Development team. The dataset is aligned with the Battery Data Format (BDF), a growing open standard designed to improve interoperability and usability of battery data across research and industry.
This contribution represents a significant step forward in enabling open, standardized battery datasets that can be easily shared, compared, and used across tools, labs, and organizations.
Advancing Open Battery Data Standards
Battery development today is often hindered by fragmented data formats and inconsistent testing methodologies across labs and equipment vendors. The Battery Data Format (BDF) addresses these challenges by introducing a standardized structure for battery data.
BDF is designed to solve two critical industry problems:
- Data Consistency – enabling seamless integration of datasets across laboratories, test equipment, and organizations
- Model Compatibility – allowing battery models and analytics workflows to be reused, compared, and confirmed for cross-vendor verification without costly data reformatting
By aligning datasets to BDF, organizations can accelerate research, improve collaboration, and unlock more reliable insights from battery testing and development.
New Dataset: Cell Architecture Comparisons
The newly released dataset focuses on cell architecture design variations, enabling direct comparison across multiple lithium-ion configurations, including:
- End Tab
- Middle Tab
- Multi Tab
In addition, the dataset includes:
- T₀ (initial performance) comparisons
- Cycle aging data across configurations
This provides researchers and engineers with a structured foundation for analyzing how design choices impact battery performance and longevity.
Availability
The dataset is now available to the community and can be accessed through BDF Datastore.
Organizations interested in contributing to or adopting the Battery Data Format (BDF) are encouraged to engage with the Battery Data Alliance.
Driving Industry Collaboration
“Standardization is foundational to accelerating battery innovation,” said Phil Hamilton, Sr. Manager of Battery Characterization at Microsoft. “By contributing this dataset in alignment with BDF, Microsoft is helping establish a common language for battery data that enables collaboration across the ecosystem.”
The contribution also reinforces growing momentum behind the Battery Data Alliance, which brings together industry leaders, research institutions, and technology providers to define open standards for battery data.
About LF Energy
A first-of-its-kind initiative, LF Energy is the community for technologists to co-develop open, industrial-grade technology, standards, and data to deliver affordable, reliable, safe and clean energy. Strategic Members include Alliander, Google, Hydro-Quebec, Microsoft, RTE and Shell, in addition to over 60 General and Associate Members from across the energy industry, technology, academia, and government. Find further information here: https://www.lfenergy.org.
About The Linux Foundation
The Linux Foundation is the world’s leading home for collaboration on open source software, hardware, standards, and data. Linux Foundation projects are critical to the world’s infrastructure including Linux, Kubernetes, Node.js, ONAP, OpenChain, OpenSSF, OpenStack, PyTorch, RISC-V, SPDX, Zephyr, and more. The Linux Foundation is focused on leveraging best practices and addressing the needs of contributors, users, and solution providers to create sustainable models for open collaboration. For more information, please visit us at linuxfoundation.org.
For a list of trademarks of The Linux Foundation, please see its trademark usage page: linuxfoundation.org/trademark-usage. Linux is a registered trademark of Linus Torvalds.
