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X-WR-CALDESC:Events for Simplify Complex Engineering | oorja
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DTSTART;TZID=Asia/Kolkata:20250717T160000
DTEND;TZID=Asia/Kolkata:20250717T170000
DTSTAMP:20260502T224947
CREATED:20250603T114659Z
LAST-MODIFIED:20250721T054040Z
UID:12292-1752768000-1752771600@oorja.energy
SUMMARY:Accelerate BMS Validation Using Synthetic Data
DESCRIPTION:« All Events\n 				\n				\n				\n				\n					\n	Accelerate BMS Validation Using Synthetic Data				\n				\n				\n				\n					\n	\n	Date & Time:	\n			July 17\, 2025\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									Battery Management Systems (BMS) are becoming the nerve centers of modern energy storage systems\, with the global BMS software market poised to grow from $8B to $39B in the next decade. Yet\, developing and validating BMS software comes with a major hurdle: lack of accessible\, application-specific battery data for testing. Real-world battery data is difficult\, expensive\, and time-consuming to collect—often taking several months to cover the right operating conditions\, failure scenarios\, and degradation patterns. Join us for a deep dive into how oorja is solving this challenge through synthetic data generation. Our hybrid modeling approach—combining physics-based models with data-driven techniques—enables the generation of high-fidelity synthetic battery data\, including fault behaviors such as voltage imbalance\, thermal events\, sensor faults\, and the elusive “knee” phenomenon. In this session\, we’ll explore: \n1. Why synthetic data is a game-changer for BMS testing and validation \n2. A real case study: Generating synthetic fault data for a 12S10P NMC battery pack. \n3. What synthetic data can do\, and when to use it. \n4. We’ll showcase outputs from our oorja Battery 360™ interface and walk through a fault-injected dataset generated in just a matter of days—compared to 6 months of experimental testing. \nWhether you’re building next-gen BMS software\, working on fault-tolerant pack designs\, or looking to stress-test your ML models\, this webinar will show you how synthetic data can become your new superpower. 								\n				\n					\n				\n		\n					\n				\n				\n									\n					\n						\n									View Recording\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				Optimizing Cycle Life Testing: Hybrid (Physics + ML) Modeling Approach for Real-world Applications	\n\n\n		\n	\n		The Importance Of OCV Curves In Understanding Battery Behaviour
URL:https://oorja.energy/event/using-synthetic-data-to-accelerate-battery-software-development/
LOCATION:Zoho Webinars
ATTACH;FMTTYPE=image/png:https://oorja.energy/wp-content/uploads/2025/06/Webinar-Banner-3.png
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