« All Events Physics Informed ML to Reduce Accelerated Life Testing for Li-Ion Batteries by 75% Date & Time: November 26, 2024 @ 3:00 pm Estimating End of Life (EoL) for a battery is often a complex, expensive, and time-intensive process. Traditional, accelerated life testing (ALT) methods rely heavily on cycler testing, which can take […]

« All Events Identifying the Goldilocks Zone: Perfecting Parameters for Li-ion Battery Modeling Date & Time: January 23, 2025 @ 8:00 pm - 9:00 pm IST Beginning of Life (BoL) parameter calibration is the cornerstone of reliable digital twins for lithium-ion batteries. Yet, identifying the “Goldilocks Zone” of parameters—where predictions are both accurate and reliable—remains […]

« All Events Deciphering Fast Charging Dynamics: Achieving the Optimal Charging Strategy for EVs Date & Time: March 6, 2025 @ 4:00 pm - 5:00 pm IST The demand for faster EV charging is undeniable—we’ve all seen headlines promising ridiculously short charging times. But pushing the limits without a deep understanding of battery dynamics can […]

« All Events Accelerating Battery Innovation with oorja: A Smarter Approach to Design & Development Date & Time: April 24, 2025 @ 4:00 pm - 5:00 pm IST Startups in today's rapidly evolving battery sector encounter unique challenges in designing, testing, and optimizing battery packs with limited resources and critical time-to-market pressures. Time intensive research […]

« All Events Data-Driven Approaches to Minimize Battery Testing & Improve Degradation Modeling Date & Time: May 20, 2025 @ 4:00 pm - 5:00 pm IST Mode Online (Zoho) "oorja's platform transformed our cycler data post-processing workflow by integrating data-driven and physics-based hybrid modeling. We were able to calibrate Beginning-of-Life and degradation models in under […]