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X-WR-CALDESC:Events for Simplify Complex Engineering | oorja
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DTSTART;TZID=Asia/Kolkata:20260129T160000
DTEND;TZID=Asia/Kolkata:20260129T170000
DTSTAMP:20260517T055339
CREATED:20251209T102030Z
LAST-MODIFIED:20251210T061241Z
UID:12480-1769702400-1769706000@oorja.energy
SUMMARY:Identifying the Goldilocks Zone: Parameter Estimation for Li-ion Battery Modeling
DESCRIPTION:« All Events\n 				\n				\n				\n				\n					\n	Identifying the Goldilocks Zone: Parameter Estimation for Li-ion Battery Modeling				\n				\n				\n				\n					\n	\n	Date & Time:	\n			January 29\, 2026\n\n	\n\n	  @  \n\n\n4:00 pm\n\n		\n\n\n\n	\n	  -  \n\n5:00 pm\n\n\nIST\n	\n				\n				\n				\n				\n					\n			\n		Mode	\n				\n		Online (Zoho)			\n			\n				\n				\n		\n				\n				\n																														\n				\n				\n				\n				\n									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 a formidable challenge. Parameters must be fine-tuned across the battery’s entire lifecycle to ensure dependable safety assessments and performance predictions. However\, the process of extracting and optimizing these parameters is far from straightforward. Having an incorrect parameter set can lead to significant modeling errors\, jeopardizing the reliability of simulations. That’s where oorja’s cutting-edge Battery Application Suite comes in. Leveraging a hybrid approach\, our software tackles this complexity head-on by extracting insights from HPPC data to simulate real-world battery behavior under diverse operating conditions. Join us in this session\, designed for battery researchers\, engineers\, and industry professionals\, where we explore how oorja’s robust BoL multi-parameter optimization is simplifying + expediting battery modeling\, empowering users to achieve accurate real-world results. Key Highlights: 1. Tackling BoL Parameter Estimation Challenges (Kinetic/ Transport): Learn how obtaining the right set of BoL parameters is pivotal for effective physics-based modeling. 2. How oorja has Simplified + Expedited the Process: Learn the ease of handling experimental data with the oorja interface\, reduced time for optimization\, and our optimization techniques. 3. Practical Applications and Use Cases: Understand how parameter optimization is central to advancements in lab testing\, cycle life prediction\, and degradation modeling—paving the way for robust simulation models. Why Attend? Learn how the oorja Battery Application Suite simplifies parameter extraction and experimental data handling\, reduces optimization time\, and ensures robust model calibration. 								\n				\n					\n				\n		\n					\n				\n				\n									\n					\n						\n									Register Now\n					\n					\n				\n								\n				\n				\n				\n							\n			\n		\n						\n				\n					\n				\n		\n					\n				\n				\n					Meet The Speakers				\n				\n					\n				\n		\n					\n		\n				\n				\n																														\n				\n				\n				\n					\n						\n		Dr. Vineet Dravid	\n			CEO\, oorja \n	\n				\n				\n				\n				\n									Vineet is a keen problem solver who is passionate about physics\, sports\, and music. Armed with a PhD in mechanical engineering from Purdue\, he dove headfirst into the world of computer-aided engineering and helped establish COMSOL’s Indian wing before starting oorja. At oorja\, he is focused on going beyond the traditional software model and working closely with customers to unlock business value. In his free time\, he enjoys hands-on activities like carpentry.								\n				\n				\n		\n				\n				\n																														\n				\n				\n				\n					\n						\n		Prashant Srivastava	\n			CTO\, oorja \n	\n				\n				\n				\n				\n									Prashant is passionate about mathematics\, machine learning\, and physics. He completed his PhD in Aerospace\, Aeronautical\, and Astronautical Engineering from IISc\, Bangalore\, and shortly after that\, started working at COMSOL\, where he was responsible for building and overseeing several applications. At oorja\, Prashant spearheads our R&D and technological efforts.								\n				\n				\n		\n				\n					\n				\n		\n					\n				\n				\n					\n	\n		\n\n	\n	Add to calendar	\n		\n	\n\n		\n			\n									\n	Google Calendar\n\n									\n	iCalendar\n\n									\n	Outlook 365\n\n									\n	Outlook Live\n\n							\n		\n\n		\n	\n\n				\n				\n				\n				\n					\n	\n		\n\n				Maximizing Fleet Uptime & Battery ROI with Predictive Intelligence from Battery 360	\n\n\n		\n	\n		Virtual Battery SIL Integration: Fault Injection\, Diagnostics\, and System Behaviour
URL:https://oorja.energy/event/identifying-the-goldilocks-zone-parameter-estimation-for-li-ion-battery-modeling/
LOCATION:Zoho Webinars
ATTACH;FMTTYPE=image/png:https://oorja.energy/wp-content/uploads/2025/12/15-1.png
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