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X-WR-CALNAME:Simplify Complex Engineering | oorja
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X-WR-CALDESC:Events for Simplify Complex Engineering | oorja
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DTSTART:20250101T000000
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DTSTART;TZID=Asia/Kolkata:20260115T160000
DTEND;TZID=Asia/Kolkata:20260115T170000
DTSTAMP:20260430T121913
CREATED:20251209T100816Z
LAST-MODIFIED:20251210T060957Z
UID:12471-1768492800-1768496400@oorja.energy
SUMMARY:Maximizing Fleet Uptime & Battery ROI with Predictive Intelligence from Battery 360
DESCRIPTION:« All Events\n 				\n				\n				\n				\n					\n	Maximizing Fleet Uptime & Battery ROI with Predictive Intelligence from Battery 360				\n				\n				\n				\n					\n	\n	Date & Time:	\n			January 15\, 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									How EV & BESS Fleets Can Reduce Downtime\, Extend Battery Life\, and Improve ROI: As EV adoption accelerates and BESS deployments scale\, fleet operators face a critical challenge: How do you truly understand the health\, performance\, and remaining useful life of every battery in your system—before failures happen? Introducing Battery 360\, oorja’s real-time predictive diagnostics platform built on our hybrid physics + AI technology. Battery 360 empowers OEMs\, fleet owners\, and energy operators with continuous visibility into battery behaviour\, transforming raw telemetry into meaningful\, actionable intelligence. What You’ll Learn:  Why traditional BMS data isn’t enough for accurate health and safety predictions How physics-informed AI delivers deeper insights into battery ageing\, thermal behaviour\, and degradation Live demonstration of Battery 360’s dashboards for EV and BESS fleets Real-world outcomes: Early fault detection\, state-of-health estimation with high accuracy\, and Predictive Remaining Useful Life (RUL) forecasting.How fleet operators can leverage Battery 360 to increase uptime\, reduce O&M costs\, and improve asset longevityWho Should Attend: EV fleet operators\, BESS operators & integrators\, OEMs & Tier-1 suppliers\, Battery engineers\, safety teams\, data analysts\, and anyone looking to adopt predictive intelligence for better battery decisions. 								\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				The Importance Of OCV Curves In Understanding Battery Behaviour	\n\n\n		\n	\n		Identifying the Goldilocks Zone: Parameter Estimation for Li-ion Battery Modeling
URL:https://oorja.energy/event/maximizing-fleet-uptime-battery-roi-with-predictive-intelligence-from-battery-360/
LOCATION:Zoho Webinars
ATTACH;FMTTYPE=image/png:https://oorja.energy/wp-content/uploads/2025/12/13-1.png
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