Batconnect develops connected lithium-ion battery systems for a wide range of markets. The company integrates embedded electronics, connectivity, and advanced data analytics directly into battery systems to enable real-time monitoring, performance optimization, and enhanced reliability. By providing continuous visibility into battery behavior and health, Batconnect supports industrial, mobility, and energy storage applications in improving safety, extending lifespan, and reducing total cost of ownership.
PhD in Control Systems and Industrial Engineering from Grenoble INP – Esisar, currently serving as R&D Project Manager at Batconnect.
My work focuses on advanced control and diagnostic methodologies for complex systems, with particular expertise in lithium-ion battery behavior and aging modeling, as well as state-of-health diagnosis and prognostics.
I am broadly interested in all aspects related to battery performance and degradation, as well as in the application of artificial intelligence to enhance data analysis, monitoring, and lifecycle optimization.
Batconnect designs smart lithium-ion batteries with integrated monitoring and analytics to optimize performance, safety, and lifespan across industrial, mobility, and energy applications.