Reno – October 27, 2026 -- Dragonfly Energy Holdings Corp. (Nasdaq: DFLI) has appointed Dr. Lukas Lutz, co-founder of Germany-based AI engineering firm Sphere Energy, to its Board of Directors. The move adds battery-simulation and machine-learning expertise as the company works to use data from its installed base of Battle Born Batteries.
Sphere Energy models simulate battery aging from a handful of tests
Lutz co-founded Sphere with Luca Scherrer and Dr. Daniel Alves Dalla Corte. The company built an AI Operating System that lets large corporations scale AI applications across their organizations. Its proprietary transformer-based models generate CAD parts from a single requirement, optimize complex crash scenarios, and simulate battery aging and performance from just a handful of tests.
Lutz holds a Ph.D. in physical chemistry from Université Paris-Sorbonne, co-chaired by the University of Oxford, and a Master of Science in physical chemistry from ETH Zürich. He has also conducted semiconductor-materials research at the University of California, Berkeley. He has served on the Advisory Committee for The Battery Show Europe and on the technology advisory board of a German premium power-tool maker.
Dragonfly ties field performance data to dry electrode cell development
Dragonfly says its large installed base, proprietary battery management systems and in-house research let it study battery performance from real-world use down to the molecular level. Those findings feed battery design, lifecycle performance and next-generation cell manufacturing, including the company's patented dry electrode and solid-state technologies.
CEO Dr. Denis Phares said Lutz's experience at the intersection of battery science and advanced data modeling fits the company's focus on integrated system design and manufacturing innovation. He called the link between field data, in-house testing and cell development, including the dry electrode platform, a key part of long-term strategy.
Lutz said Dragonfly is "uniquely positioned in its ability to access and leverage extensive real-world battery data." He added that combining that data with the company's battery management systems and deployed field systems gives it a foundation for applying AI and machine learning to improve performance and accelerate development.