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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20260331T143000
DTEND;TZID=Asia/Kolkata:20260331T153000
DTSTAMP:20260609T040424
CREATED:20260323T020935Z
LAST-MODIFIED:20260323T091830Z
UID:12763-1774967400-1774971000@oorja.energy
SUMMARY:LFP vs NMC: Beyond the Flat Curve — Rethinking Battery Design\, BMS\, and Monitoring
DESCRIPTION:« All Events\n 				\n				\n				\n				\n					\n	Pack degradation using Physics and data based approach: From Cell Variability to System-Level Insights				\n				\n				\n				\n					\n	\n	Date & Time:	\n			May 19\, 2026\n\n	\n\n	  @  \n\n\n2:30 pm\n\n		\n\n\n\n	\n	  -  \n\n3:30 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									What this webinar is about:Battery pack degradation is a system-level problem influenced by cell variability\, thermal gradients\, and real-world usage patterns. In this session\, oorja.energy will walk through how pack-level aging differs from cell-level behavior and why it matters for design\, validation and warranty decisions. We will cover how to simulate pack degradation using physics-based (Pack Hybrid) and data-driven (Pack ECM) approaches\, capturing the impact of cell-to-cell variations\, imbalance\, and defects. The session will also demonstrate how real-world drive cycles can be translated into structured inputs for accurate degradation modeling. You will see how pack simulations can predict key metrics like State of Health (SoH)\, degradation trends\, throughput and Remaining Useful Life (RUL)\, enabling better engineering decisions early in the development cycle. What you can get from it:Understand physics based and data based approach for pack degradationReal engineering challenges in pack degradation beyond cell-level insightsHow variability (capacity\, resistance\, temperature) impacts pack lifePredict SoH\, performance\, throughput and RUL under real-world duty cyclesEvaluate impact of imbalance and defects on pack behaviorBridge field data and lab testing for better validation and warranty estimation 								\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				LFP vs NMC: Beyond the Flat Curve — Rethinking Battery Design\, BMS\, and Monitoring
URL:https://oorja.energy/event/lfp-vs-nmc-beyond-the-flat-curve-rethinking-battery-design-bms-and-monitoring/
LOCATION:Zoho Webinars
CATEGORIES:Upcoming
ATTACH;FMTTYPE=image/png:https://oorja.energy/wp-content/uploads/2026/03/31st-March-Webinar-Banner-Updated.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20260219T160000
DTEND;TZID=Asia/Kolkata:20260219T170000
DTSTAMP:20260609T040424
CREATED:20251209T101338Z
LAST-MODIFIED:20260123T071042Z
UID:12477-1771516800-1771520400@oorja.energy
SUMMARY:Virtual Battery SIL Integration: Fault Injection\, Diagnostics\, and System Behaviour
DESCRIPTION:« All Events\n 				\n				\n				\n				\n					\n	Pack degradation using Physics and data based approach: From Cell Variability to System-Level Insights				\n				\n				\n				\n					\n	\n	Date & Time:	\n			May 19\, 2026\n\n	\n\n	  @  \n\n\n2:30 pm\n\n		\n\n\n\n	\n	  -  \n\n3:30 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									What this webinar is about:Battery pack degradation is a system-level problem influenced by cell variability\, thermal gradients\, and real-world usage patterns. In this session\, oorja.energy will walk through how pack-level aging differs from cell-level behavior and why it matters for design\, validation and warranty decisions. We will cover how to simulate pack degradation using physics-based (Pack Hybrid) and data-driven (Pack ECM) approaches\, capturing the impact of cell-to-cell variations\, imbalance\, and defects. The session will also demonstrate how real-world drive cycles can be translated into structured inputs for accurate degradation modeling. You will see how pack simulations can predict key metrics like State of Health (SoH)\, degradation trends\, throughput and Remaining Useful Life (RUL)\, enabling better engineering decisions early in the development cycle. What you can get from it:Understand physics based and data based approach for pack degradationReal engineering challenges in pack degradation beyond cell-level insightsHow variability (capacity\, resistance\, temperature) impacts pack lifePredict SoH\, performance\, throughput and RUL under real-world duty cyclesEvaluate impact of imbalance and defects on pack behaviorBridge field data and lab testing for better validation and warranty estimation 								\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				LFP vs NMC: Beyond the Flat Curve — Rethinking Battery Design\, BMS\, and Monitoring
URL:https://oorja.energy/event/virtual-battery-sil-integration-fault-injection-diagnostics-and-system-behaviour/
LOCATION:Zoho Webinars
ATTACH;FMTTYPE=image/png:https://oorja.energy/wp-content/uploads/2025/12/Webinar-BannerMaster.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20260129T160000
DTEND;TZID=Asia/Kolkata:20260129T170000
DTSTAMP:20260609T040424
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	Pack degradation using Physics and data based approach: From Cell Variability to System-Level Insights				\n				\n				\n				\n					\n	\n	Date & Time:	\n			May 19\, 2026\n\n	\n\n	  @  \n\n\n2:30 pm\n\n		\n\n\n\n	\n	  -  \n\n3:30 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									What this webinar is about:Battery pack degradation is a system-level problem influenced by cell variability\, thermal gradients\, and real-world usage patterns. In this session\, oorja.energy will walk through how pack-level aging differs from cell-level behavior and why it matters for design\, validation and warranty decisions. We will cover how to simulate pack degradation using physics-based (Pack Hybrid) and data-driven (Pack ECM) approaches\, capturing the impact of cell-to-cell variations\, imbalance\, and defects. The session will also demonstrate how real-world drive cycles can be translated into structured inputs for accurate degradation modeling. You will see how pack simulations can predict key metrics like State of Health (SoH)\, degradation trends\, throughput and Remaining Useful Life (RUL)\, enabling better engineering decisions early in the development cycle. What you can get from it:Understand physics based and data based approach for pack degradationReal engineering challenges in pack degradation beyond cell-level insightsHow variability (capacity\, resistance\, temperature) impacts pack lifePredict SoH\, performance\, throughput and RUL under real-world duty cyclesEvaluate impact of imbalance and defects on pack behaviorBridge field data and lab testing for better validation and warranty estimation 								\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				LFP vs NMC: Beyond the Flat Curve — Rethinking Battery Design\, BMS\, and Monitoring
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20260115T160000
DTEND;TZID=Asia/Kolkata:20260115T170000
DTSTAMP:20260609T040424
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	Pack degradation using Physics and data based approach: From Cell Variability to System-Level Insights				\n				\n				\n				\n					\n	\n	Date & Time:	\n			May 19\, 2026\n\n	\n\n	  @  \n\n\n2:30 pm\n\n		\n\n\n\n	\n	  -  \n\n3:30 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									What this webinar is about:Battery pack degradation is a system-level problem influenced by cell variability\, thermal gradients\, and real-world usage patterns. In this session\, oorja.energy will walk through how pack-level aging differs from cell-level behavior and why it matters for design\, validation and warranty decisions. We will cover how to simulate pack degradation using physics-based (Pack Hybrid) and data-driven (Pack ECM) approaches\, capturing the impact of cell-to-cell variations\, imbalance\, and defects. The session will also demonstrate how real-world drive cycles can be translated into structured inputs for accurate degradation modeling. You will see how pack simulations can predict key metrics like State of Health (SoH)\, degradation trends\, throughput and Remaining Useful Life (RUL)\, enabling better engineering decisions early in the development cycle. What you can get from it:Understand physics based and data based approach for pack degradationReal engineering challenges in pack degradation beyond cell-level insightsHow variability (capacity\, resistance\, temperature) impacts pack lifePredict SoH\, performance\, throughput and RUL under real-world duty cyclesEvaluate impact of imbalance and defects on pack behaviorBridge field data and lab testing for better validation and warranty estimation 								\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				LFP vs NMC: Beyond the Flat Curve — Rethinking Battery Design\, BMS\, and Monitoring
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20251218T160000
DTEND;TZID=Asia/Kolkata:20251218T170000
DTSTAMP:20260609T040424
CREATED:20251209T100205Z
LAST-MODIFIED:20251219T042705Z
UID:12467-1766073600-1766077200@oorja.energy
SUMMARY:The Importance Of OCV Curves In Understanding Battery Behaviour
DESCRIPTION:« All Events\n 				\n				\n				\n				\n					\n	Pack degradation using Physics and data based approach: From Cell Variability to System-Level Insights				\n				\n				\n				\n					\n	\n	Date & Time:	\n			May 19\, 2026\n\n	\n\n	  @  \n\n\n2:30 pm\n\n		\n\n\n\n	\n	  -  \n\n3:30 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									What this webinar is about:Battery pack degradation is a system-level problem influenced by cell variability\, thermal gradients\, and real-world usage patterns. In this session\, oorja.energy will walk through how pack-level aging differs from cell-level behavior and why it matters for design\, validation and warranty decisions. We will cover how to simulate pack degradation using physics-based (Pack Hybrid) and data-driven (Pack ECM) approaches\, capturing the impact of cell-to-cell variations\, imbalance\, and defects. The session will also demonstrate how real-world drive cycles can be translated into structured inputs for accurate degradation modeling. You will see how pack simulations can predict key metrics like State of Health (SoH)\, degradation trends\, throughput and Remaining Useful Life (RUL)\, enabling better engineering decisions early in the development cycle. What you can get from it:Understand physics based and data based approach for pack degradationReal engineering challenges in pack degradation beyond cell-level insightsHow variability (capacity\, resistance\, temperature) impacts pack lifePredict SoH\, performance\, throughput and RUL under real-world duty cyclesEvaluate impact of imbalance and defects on pack behaviorBridge field data and lab testing for better validation and warranty estimation 								\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				LFP vs NMC: Beyond the Flat Curve — Rethinking Battery Design\, BMS\, and Monitoring
URL:https://oorja.energy/event/the-importance-of-ocv-curves-in-understanding-battery-behaviour/
LOCATION:Zoho Webinars
ATTACH;FMTTYPE=image/png:https://oorja.energy/wp-content/uploads/2025/12/12-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20250717T160000
DTEND;TZID=Asia/Kolkata:20250717T170000
DTSTAMP:20260609T040424
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	Pack degradation using Physics and data based approach: From Cell Variability to System-Level Insights				\n				\n				\n				\n					\n	\n	Date & Time:	\n			May 19\, 2026\n\n	\n\n	  @  \n\n\n2:30 pm\n\n		\n\n\n\n	\n	  -  \n\n3:30 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									What this webinar is about:Battery pack degradation is a system-level problem influenced by cell variability\, thermal gradients\, and real-world usage patterns. In this session\, oorja.energy will walk through how pack-level aging differs from cell-level behavior and why it matters for design\, validation and warranty decisions. We will cover how to simulate pack degradation using physics-based (Pack Hybrid) and data-driven (Pack ECM) approaches\, capturing the impact of cell-to-cell variations\, imbalance\, and defects. The session will also demonstrate how real-world drive cycles can be translated into structured inputs for accurate degradation modeling. You will see how pack simulations can predict key metrics like State of Health (SoH)\, degradation trends\, throughput and Remaining Useful Life (RUL)\, enabling better engineering decisions early in the development cycle. What you can get from it:Understand physics based and data based approach for pack degradationReal engineering challenges in pack degradation beyond cell-level insightsHow variability (capacity\, resistance\, temperature) impacts pack lifePredict SoH\, performance\, throughput and RUL under real-world duty cyclesEvaluate impact of imbalance and defects on pack behaviorBridge field data and lab testing for better validation and warranty estimation 								\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				LFP vs NMC: Beyond the Flat Curve — Rethinking Battery Design\, BMS\, and Monitoring
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20250618T160000
DTEND;TZID=Asia/Kolkata:20250618T170000
DTSTAMP:20260609T040424
CREATED:20250603T104708Z
LAST-MODIFIED:20250624T064500Z
UID:12286-1750262400-1750266000@oorja.energy
SUMMARY:Optimizing Cycle Life Testing: Hybrid (Physics + ML) Modeling Approach for Real-world Applications
DESCRIPTION:« All Events\n 				\n				\n				\n				\n					\n	Pack degradation using Physics and data based approach: From Cell Variability to System-Level Insights				\n				\n				\n				\n					\n	\n	Date & Time:	\n			May 19\, 2026\n\n	\n\n	  @  \n\n\n2:30 pm\n\n		\n\n\n\n	\n	  -  \n\n3:30 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									What this webinar is about:Battery pack degradation is a system-level problem influenced by cell variability\, thermal gradients\, and real-world usage patterns. In this session\, oorja.energy will walk through how pack-level aging differs from cell-level behavior and why it matters for design\, validation and warranty decisions. We will cover how to simulate pack degradation using physics-based (Pack Hybrid) and data-driven (Pack ECM) approaches\, capturing the impact of cell-to-cell variations\, imbalance\, and defects. The session will also demonstrate how real-world drive cycles can be translated into structured inputs for accurate degradation modeling. You will see how pack simulations can predict key metrics like State of Health (SoH)\, degradation trends\, throughput and Remaining Useful Life (RUL)\, enabling better engineering decisions early in the development cycle. What you can get from it:Understand physics based and data based approach for pack degradationReal engineering challenges in pack degradation beyond cell-level insightsHow variability (capacity\, resistance\, temperature) impacts pack lifePredict SoH\, performance\, throughput and RUL under real-world duty cyclesEvaluate impact of imbalance and defects on pack behaviorBridge field data and lab testing for better validation and warranty estimation 								\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				LFP vs NMC: Beyond the Flat Curve — Rethinking Battery Design\, BMS\, and Monitoring
URL:https://oorja.energy/event/optimizing-cycle-life-testing-hybrid-physics-ml-modeling-approach-for-real-world-applications/
LOCATION:Zoho Webinars
ATTACH;FMTTYPE=image/png:https://oorja.energy/wp-content/uploads/2025/06/Website-Banner.png
ORGANIZER;CN="Prajakta Sabnis":MAILTO:prajakta.sabnis@oorja.energy
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20250520T160000
DTEND;TZID=Asia/Kolkata:20250520T170000
DTSTAMP:20260609T040424
CREATED:20250402T095346Z
LAST-MODIFIED:20250624T064402Z
UID:12115-1747756800-1747760400@oorja.energy
SUMMARY:Data-Driven Approaches to Minimize Battery Testing & Improve Degradation Modeling
DESCRIPTION:« All Events\n 				\n				\n				\n				\n					\n	Pack degradation using Physics and data based approach: From Cell Variability to System-Level Insights				\n				\n				\n				\n					\n	\n	Date & Time:	\n			May 19\, 2026\n\n	\n\n	  @  \n\n\n2:30 pm\n\n		\n\n\n\n	\n	  -  \n\n3:30 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									What this webinar is about:Battery pack degradation is a system-level problem influenced by cell variability\, thermal gradients\, and real-world usage patterns. In this session\, oorja.energy will walk through how pack-level aging differs from cell-level behavior and why it matters for design\, validation and warranty decisions. We will cover how to simulate pack degradation using physics-based (Pack Hybrid) and data-driven (Pack ECM) approaches\, capturing the impact of cell-to-cell variations\, imbalance\, and defects. The session will also demonstrate how real-world drive cycles can be translated into structured inputs for accurate degradation modeling. You will see how pack simulations can predict key metrics like State of Health (SoH)\, degradation trends\, throughput and Remaining Useful Life (RUL)\, enabling better engineering decisions early in the development cycle. What you can get from it:Understand physics based and data based approach for pack degradationReal engineering challenges in pack degradation beyond cell-level insightsHow variability (capacity\, resistance\, temperature) impacts pack lifePredict SoH\, performance\, throughput and RUL under real-world duty cyclesEvaluate impact of imbalance and defects on pack behaviorBridge field data and lab testing for better validation and warranty estimation 								\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				LFP vs NMC: Beyond the Flat Curve — Rethinking Battery Design\, BMS\, and Monitoring
URL:https://oorja.energy/event/data-driven-approaches-to-minimize-battery-testing-improve-degradation-modeling/
LOCATION:Zoho Webinars
ATTACH;FMTTYPE=image/png:https://oorja.energy/wp-content/uploads/2025/03/Webinar-Banner-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20250424T160000
DTEND;TZID=Asia/Kolkata:20250424T170000
DTSTAMP:20260609T040424
CREATED:20250407T230226Z
LAST-MODIFIED:20250425T074742Z
UID:12138-1745510400-1745514000@oorja.energy
SUMMARY:Accelerating Battery Innovation with oorja: A Smarter Approach to Design & Development
DESCRIPTION:« All Events\n 				\n				\n				\n				\n					\n	Pack degradation using Physics and data based approach: From Cell Variability to System-Level Insights				\n				\n				\n				\n					\n	\n	Date & Time:	\n			May 19\, 2026\n\n	\n\n	  @  \n\n\n2:30 pm\n\n		\n\n\n\n	\n	  -  \n\n3:30 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									What this webinar is about:Battery pack degradation is a system-level problem influenced by cell variability\, thermal gradients\, and real-world usage patterns. In this session\, oorja.energy will walk through how pack-level aging differs from cell-level behavior and why it matters for design\, validation and warranty decisions. We will cover how to simulate pack degradation using physics-based (Pack Hybrid) and data-driven (Pack ECM) approaches\, capturing the impact of cell-to-cell variations\, imbalance\, and defects. The session will also demonstrate how real-world drive cycles can be translated into structured inputs for accurate degradation modeling. You will see how pack simulations can predict key metrics like State of Health (SoH)\, degradation trends\, throughput and Remaining Useful Life (RUL)\, enabling better engineering decisions early in the development cycle. What you can get from it:Understand physics based and data based approach for pack degradationReal engineering challenges in pack degradation beyond cell-level insightsHow variability (capacity\, resistance\, temperature) impacts pack lifePredict SoH\, performance\, throughput and RUL under real-world duty cyclesEvaluate impact of imbalance and defects on pack behaviorBridge field data and lab testing for better validation and warranty estimation 								\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				LFP vs NMC: Beyond the Flat Curve — Rethinking Battery Design\, BMS\, and Monitoring
URL:https://oorja.energy/event/accelerating-battery-innovation-with-oorja-a-smarter-approach-to-design-development/
ATTACH;FMTTYPE=image/png:https://oorja.energy/wp-content/uploads/2025/04/Webinar-Banner-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20250306T160000
DTEND;TZID=Asia/Kolkata:20250306T170000
DTSTAMP:20260609T040424
CREATED:20250409T105233Z
LAST-MODIFIED:20250409T110115Z
UID:12195-1741276800-1741280400@oorja.energy
SUMMARY:Deciphering Fast Charging Dynamics: Achieving the Optimal Charging Strategy for EVs
DESCRIPTION:« All Events\n 				\n				\n				\n				\n					\n	Pack degradation using Physics and data based approach: From Cell Variability to System-Level Insights				\n				\n				\n				\n					\n	\n	Date & Time:	\n			May 19\, 2026\n\n	\n\n	  @  \n\n\n2:30 pm\n\n		\n\n\n\n	\n	  -  \n\n3:30 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									What this webinar is about:Battery pack degradation is a system-level problem influenced by cell variability\, thermal gradients\, and real-world usage patterns. In this session\, oorja.energy will walk through how pack-level aging differs from cell-level behavior and why it matters for design\, validation and warranty decisions. We will cover how to simulate pack degradation using physics-based (Pack Hybrid) and data-driven (Pack ECM) approaches\, capturing the impact of cell-to-cell variations\, imbalance\, and defects. The session will also demonstrate how real-world drive cycles can be translated into structured inputs for accurate degradation modeling. You will see how pack simulations can predict key metrics like State of Health (SoH)\, degradation trends\, throughput and Remaining Useful Life (RUL)\, enabling better engineering decisions early in the development cycle. What you can get from it:Understand physics based and data based approach for pack degradationReal engineering challenges in pack degradation beyond cell-level insightsHow variability (capacity\, resistance\, temperature) impacts pack lifePredict SoH\, performance\, throughput and RUL under real-world duty cyclesEvaluate impact of imbalance and defects on pack behaviorBridge field data and lab testing for better validation and warranty estimation 								\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				LFP vs NMC: Beyond the Flat Curve — Rethinking Battery Design\, BMS\, and Monitoring
URL:https://oorja.energy/event/deciphering-fast-charging-dynamics-achieving-the-optimal-charging-strategy-for-evs/
ATTACH;FMTTYPE=image/png:https://oorja.energy/wp-content/uploads/2025/03/Webinar-Banner.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20250123T200000
DTEND;TZID=Asia/Kolkata:20250123T210000
DTSTAMP:20260609T040424
CREATED:20250409T110356Z
LAST-MODIFIED:20250409T112455Z
UID:12200-1737662400-1737666000@oorja.energy
SUMMARY:Identifying the Goldilocks Zone: Perfecting Parameters for Li-ion Battery Modeling
DESCRIPTION:« All Events\n 				\n				\n				\n				\n					\n	Pack degradation using Physics and data based approach: From Cell Variability to System-Level Insights				\n				\n				\n				\n					\n	\n	Date & Time:	\n			May 19\, 2026\n\n	\n\n	  @  \n\n\n2:30 pm\n\n		\n\n\n\n	\n	  -  \n\n3:30 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									What this webinar is about:Battery pack degradation is a system-level problem influenced by cell variability\, thermal gradients\, and real-world usage patterns. In this session\, oorja.energy will walk through how pack-level aging differs from cell-level behavior and why it matters for design\, validation and warranty decisions. We will cover how to simulate pack degradation using physics-based (Pack Hybrid) and data-driven (Pack ECM) approaches\, capturing the impact of cell-to-cell variations\, imbalance\, and defects. The session will also demonstrate how real-world drive cycles can be translated into structured inputs for accurate degradation modeling. You will see how pack simulations can predict key metrics like State of Health (SoH)\, degradation trends\, throughput and Remaining Useful Life (RUL)\, enabling better engineering decisions early in the development cycle. What you can get from it:Understand physics based and data based approach for pack degradationReal engineering challenges in pack degradation beyond cell-level insightsHow variability (capacity\, resistance\, temperature) impacts pack lifePredict SoH\, performance\, throughput and RUL under real-world duty cyclesEvaluate impact of imbalance and defects on pack behaviorBridge field data and lab testing for better validation and warranty estimation 								\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				LFP vs NMC: Beyond the Flat Curve — Rethinking Battery Design\, BMS\, and Monitoring
URL:https://oorja.energy/event/identifying-the-goldilocks-zone-perfecting-parameters-for-li-ion-battery-modeling/
ATTACH;FMTTYPE=image/png:https://oorja.energy/wp-content/uploads/2025/03/Webinar-Banner-2.png
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BEGIN:VEVENT
DTSTART;TZID=UTC:20241126T150000
DTEND;TZID=UTC:20241126T150000
DTSTAMP:20260609T040424
CREATED:20250409T023906Z
LAST-MODIFIED:20250409T030003Z
UID:12182-1732633200-1732633200@oorja.energy
SUMMARY:Physics Informed ML to Reduce Accelerated Life Testing for Li-Ion Batteries by 75%
DESCRIPTION:« All Events\n 				\n				\n				\n				\n					\n	Pack degradation using Physics and data based approach: From Cell Variability to System-Level Insights				\n				\n				\n				\n					\n	\n	Date & Time:	\n			May 19\, 2026\n\n	\n\n	  @  \n\n\n2:30 pm\n\n		\n\n\n\n	\n	  -  \n\n3:30 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									What this webinar is about:Battery pack degradation is a system-level problem influenced by cell variability\, thermal gradients\, and real-world usage patterns. In this session\, oorja.energy will walk through how pack-level aging differs from cell-level behavior and why it matters for design\, validation and warranty decisions. We will cover how to simulate pack degradation using physics-based (Pack Hybrid) and data-driven (Pack ECM) approaches\, capturing the impact of cell-to-cell variations\, imbalance\, and defects. The session will also demonstrate how real-world drive cycles can be translated into structured inputs for accurate degradation modeling. You will see how pack simulations can predict key metrics like State of Health (SoH)\, degradation trends\, throughput and Remaining Useful Life (RUL)\, enabling better engineering decisions early in the development cycle. What you can get from it:Understand physics based and data based approach for pack degradationReal engineering challenges in pack degradation beyond cell-level insightsHow variability (capacity\, resistance\, temperature) impacts pack lifePredict SoH\, performance\, throughput and RUL under real-world duty cyclesEvaluate impact of imbalance and defects on pack behaviorBridge field data and lab testing for better validation and warranty estimation 								\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				LFP vs NMC: Beyond the Flat Curve — Rethinking Battery Design\, BMS\, and Monitoring
URL:https://oorja.energy/event/physics-informed-ml-to-reduce-accelerated-life-testing-for-li-ion-batteries-by-75/
ATTACH;FMTTYPE=image/png:https://oorja.energy/wp-content/uploads/2024/11/Webinar-Banner-3.png
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