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X-WR-CALDESC:Events for Simplify Complex Engineering | oorja
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TZID:Asia/Kolkata
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DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20260519T143000
DTEND;TZID=Asia/Kolkata:20260519T153000
DTSTAMP:20260705T095847
CREATED:20260516T065004Z
LAST-MODIFIED:20260516T070331Z
UID:12807-1779201000-1779204600@oorja.energy
SUMMARY:Pack degradation using Physics and data based approach: From Cell Variability to System-Level Insights
DESCRIPTION:Battery systems in electric mobility and industrial applications are no longer static engineering components—they are dynamic assets whose performance\, safety\, and value evolve throughout their lifecycle. Yet today\, battery engineering and field operations remain largely disconnected. This webinar presents a unified framework for Battery Health Intelligence Across the Lifecycle\, integrating physics-informed engineering models (oPINN-Battery Design Suite) with fleet-scale operational intelligence (Battery360). oPINN-Battery Design Suite enables battery design\, characterization\, degradation analysis\, thermal prediction\, and virtual validation (HIL/SIL)\, while Battery360 delivers real-world intelligence through SOH/RUL estimation\, predictive diagnostics\, fleet optimization\, warranty analytics\, and second-life assessment. We created a closed-loop feedback system where field data continuously enhances engineering models. This integrated approach helps OEMs\, battery manufacturers\, fleet operators\, and engineering teams improve reliability\, reduce lifecycle risk\, and maximize battery value across the . 								\n				\n					\n				\n		\n					\n				\n				\n									Date & Time:July 16\, 2026 @ 2:30 pm – 3:30 pm ISTMode: Online (Zoho)  								\n				\n					\n				\n		\n					\n				\n				\n									\n					\n						\n									Register Now
URL:https://oorja.energy/event/pack-degradation-using-physics-and-data-based-approach-from-cell-variability-to-system-level-insights-copy/
LOCATION:Zoho Webinars
CATEGORIES:Upcoming
ATTACH;FMTTYPE=image/png:https://oorja.energy/wp-content/uploads/2026/05/19th-Pack-Webinar-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20260331T143000
DTEND;TZID=Asia/Kolkata:20260331T153000
DTSTAMP:20260705T095847
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:Battery systems in electric mobility and industrial applications are no longer static engineering components—they are dynamic assets whose performance\, safety\, and value evolve throughout their lifecycle. Yet today\, battery engineering and field operations remain largely disconnected. This webinar presents a unified framework for Battery Health Intelligence Across the Lifecycle\, integrating physics-informed engineering models (oPINN-Battery Design Suite) with fleet-scale operational intelligence (Battery360). oPINN-Battery Design Suite enables battery design\, characterization\, degradation analysis\, thermal prediction\, and virtual validation (HIL/SIL)\, while Battery360 delivers real-world intelligence through SOH/RUL estimation\, predictive diagnostics\, fleet optimization\, warranty analytics\, and second-life assessment. We created a closed-loop feedback system where field data continuously enhances engineering models. This integrated approach helps OEMs\, battery manufacturers\, fleet operators\, and engineering teams improve reliability\, reduce lifecycle risk\, and maximize battery value across the . 								\n				\n					\n				\n		\n					\n				\n				\n									Date & Time:July 16\, 2026 @ 2:30 pm – 3:30 pm ISTMode: Online (Zoho)  								\n				\n					\n				\n		\n					\n				\n				\n									\n					\n						\n									Register Now
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:20260705T095847
CREATED:20251209T101338Z
LAST-MODIFIED:20260123T071042Z
UID:12477-1771516800-1771520400@oorja.energy
SUMMARY:Virtual Battery SIL Integration: Fault Injection\, Diagnostics\, and System Behaviour
DESCRIPTION:Battery systems in electric mobility and industrial applications are no longer static engineering components—they are dynamic assets whose performance\, safety\, and value evolve throughout their lifecycle. Yet today\, battery engineering and field operations remain largely disconnected. This webinar presents a unified framework for Battery Health Intelligence Across the Lifecycle\, integrating physics-informed engineering models (oPINN-Battery Design Suite) with fleet-scale operational intelligence (Battery360). oPINN-Battery Design Suite enables battery design\, characterization\, degradation analysis\, thermal prediction\, and virtual validation (HIL/SIL)\, while Battery360 delivers real-world intelligence through SOH/RUL estimation\, predictive diagnostics\, fleet optimization\, warranty analytics\, and second-life assessment. We created a closed-loop feedback system where field data continuously enhances engineering models. This integrated approach helps OEMs\, battery manufacturers\, fleet operators\, and engineering teams improve reliability\, reduce lifecycle risk\, and maximize battery value across the . 								\n				\n					\n				\n		\n					\n				\n				\n									Date & Time:July 16\, 2026 @ 2:30 pm – 3:30 pm ISTMode: Online (Zoho)  								\n				\n					\n				\n		\n					\n				\n				\n									\n					\n						\n									Register Now
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:20260705T095847
CREATED:20251209T102030Z
LAST-MODIFIED:20251210T061241Z
UID:12480-1769702400-1769706000@oorja.energy
SUMMARY:Identifying the Goldilocks Zone: Parameter Estimation for Li-ion Battery Modeling
DESCRIPTION:Battery systems in electric mobility and industrial applications are no longer static engineering components—they are dynamic assets whose performance\, safety\, and value evolve throughout their lifecycle. Yet today\, battery engineering and field operations remain largely disconnected. This webinar presents a unified framework for Battery Health Intelligence Across the Lifecycle\, integrating physics-informed engineering models (oPINN-Battery Design Suite) with fleet-scale operational intelligence (Battery360). oPINN-Battery Design Suite enables battery design\, characterization\, degradation analysis\, thermal prediction\, and virtual validation (HIL/SIL)\, while Battery360 delivers real-world intelligence through SOH/RUL estimation\, predictive diagnostics\, fleet optimization\, warranty analytics\, and second-life assessment. We created a closed-loop feedback system where field data continuously enhances engineering models. This integrated approach helps OEMs\, battery manufacturers\, fleet operators\, and engineering teams improve reliability\, reduce lifecycle risk\, and maximize battery value across the . 								\n				\n					\n				\n		\n					\n				\n				\n									Date & Time:July 16\, 2026 @ 2:30 pm – 3:30 pm ISTMode: Online (Zoho)  								\n				\n					\n				\n		\n					\n				\n				\n									\n					\n						\n									Register Now
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:20260705T095847
CREATED:20251209T100816Z
LAST-MODIFIED:20251210T060957Z
UID:12471-1768492800-1768496400@oorja.energy
SUMMARY:Maximizing Fleet Uptime & Battery ROI with Predictive Intelligence from Battery 360
DESCRIPTION:Battery systems in electric mobility and industrial applications are no longer static engineering components—they are dynamic assets whose performance\, safety\, and value evolve throughout their lifecycle. Yet today\, battery engineering and field operations remain largely disconnected. This webinar presents a unified framework for Battery Health Intelligence Across the Lifecycle\, integrating physics-informed engineering models (oPINN-Battery Design Suite) with fleet-scale operational intelligence (Battery360). oPINN-Battery Design Suite enables battery design\, characterization\, degradation analysis\, thermal prediction\, and virtual validation (HIL/SIL)\, while Battery360 delivers real-world intelligence through SOH/RUL estimation\, predictive diagnostics\, fleet optimization\, warranty analytics\, and second-life assessment. We created a closed-loop feedback system where field data continuously enhances engineering models. This integrated approach helps OEMs\, battery manufacturers\, fleet operators\, and engineering teams improve reliability\, reduce lifecycle risk\, and maximize battery value across the . 								\n				\n					\n				\n		\n					\n				\n				\n									Date & Time:July 16\, 2026 @ 2:30 pm – 3:30 pm ISTMode: Online (Zoho)  								\n				\n					\n				\n		\n					\n				\n				\n									\n					\n						\n									Register Now
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:20260705T095847
CREATED:20251209T100205Z
LAST-MODIFIED:20251219T042705Z
UID:12467-1766073600-1766077200@oorja.energy
SUMMARY:The Importance Of OCV Curves In Understanding Battery Behaviour
DESCRIPTION:Battery systems in electric mobility and industrial applications are no longer static engineering components—they are dynamic assets whose performance\, safety\, and value evolve throughout their lifecycle. Yet today\, battery engineering and field operations remain largely disconnected. This webinar presents a unified framework for Battery Health Intelligence Across the Lifecycle\, integrating physics-informed engineering models (oPINN-Battery Design Suite) with fleet-scale operational intelligence (Battery360). oPINN-Battery Design Suite enables battery design\, characterization\, degradation analysis\, thermal prediction\, and virtual validation (HIL/SIL)\, while Battery360 delivers real-world intelligence through SOH/RUL estimation\, predictive diagnostics\, fleet optimization\, warranty analytics\, and second-life assessment. We created a closed-loop feedback system where field data continuously enhances engineering models. This integrated approach helps OEMs\, battery manufacturers\, fleet operators\, and engineering teams improve reliability\, reduce lifecycle risk\, and maximize battery value across the . 								\n				\n					\n				\n		\n					\n				\n				\n									Date & Time:July 16\, 2026 @ 2:30 pm – 3:30 pm ISTMode: Online (Zoho)  								\n				\n					\n				\n		\n					\n				\n				\n									\n					\n						\n									Register Now
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:20260705T095847
CREATED:20250603T114659Z
LAST-MODIFIED:20250721T054040Z
UID:12292-1752768000-1752771600@oorja.energy
SUMMARY:Accelerate BMS Validation Using Synthetic Data
DESCRIPTION:Battery systems in electric mobility and industrial applications are no longer static engineering components—they are dynamic assets whose performance\, safety\, and value evolve throughout their lifecycle. Yet today\, battery engineering and field operations remain largely disconnected. This webinar presents a unified framework for Battery Health Intelligence Across the Lifecycle\, integrating physics-informed engineering models (oPINN-Battery Design Suite) with fleet-scale operational intelligence (Battery360). oPINN-Battery Design Suite enables battery design\, characterization\, degradation analysis\, thermal prediction\, and virtual validation (HIL/SIL)\, while Battery360 delivers real-world intelligence through SOH/RUL estimation\, predictive diagnostics\, fleet optimization\, warranty analytics\, and second-life assessment. We created a closed-loop feedback system where field data continuously enhances engineering models. This integrated approach helps OEMs\, battery manufacturers\, fleet operators\, and engineering teams improve reliability\, reduce lifecycle risk\, and maximize battery value across the . 								\n				\n					\n				\n		\n					\n				\n				\n									Date & Time:July 16\, 2026 @ 2:30 pm – 3:30 pm ISTMode: Online (Zoho)  								\n				\n					\n				\n		\n					\n				\n				\n									\n					\n						\n									Register Now
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:20260705T095847
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:Battery systems in electric mobility and industrial applications are no longer static engineering components—they are dynamic assets whose performance\, safety\, and value evolve throughout their lifecycle. Yet today\, battery engineering and field operations remain largely disconnected. This webinar presents a unified framework for Battery Health Intelligence Across the Lifecycle\, integrating physics-informed engineering models (oPINN-Battery Design Suite) with fleet-scale operational intelligence (Battery360). oPINN-Battery Design Suite enables battery design\, characterization\, degradation analysis\, thermal prediction\, and virtual validation (HIL/SIL)\, while Battery360 delivers real-world intelligence through SOH/RUL estimation\, predictive diagnostics\, fleet optimization\, warranty analytics\, and second-life assessment. We created a closed-loop feedback system where field data continuously enhances engineering models. This integrated approach helps OEMs\, battery manufacturers\, fleet operators\, and engineering teams improve reliability\, reduce lifecycle risk\, and maximize battery value across the . 								\n				\n					\n				\n		\n					\n				\n				\n									Date & Time:July 16\, 2026 @ 2:30 pm – 3:30 pm ISTMode: Online (Zoho)  								\n				\n					\n				\n		\n					\n				\n				\n									\n					\n						\n									Register Now
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:20260705T095847
CREATED:20250402T095346Z
LAST-MODIFIED:20250624T064402Z
UID:12115-1747756800-1747760400@oorja.energy
SUMMARY:Data-Driven Approaches to Minimize Battery Testing & Improve Degradation Modeling
DESCRIPTION:Battery systems in electric mobility and industrial applications are no longer static engineering components—they are dynamic assets whose performance\, safety\, and value evolve throughout their lifecycle. Yet today\, battery engineering and field operations remain largely disconnected. This webinar presents a unified framework for Battery Health Intelligence Across the Lifecycle\, integrating physics-informed engineering models (oPINN-Battery Design Suite) with fleet-scale operational intelligence (Battery360). oPINN-Battery Design Suite enables battery design\, characterization\, degradation analysis\, thermal prediction\, and virtual validation (HIL/SIL)\, while Battery360 delivers real-world intelligence through SOH/RUL estimation\, predictive diagnostics\, fleet optimization\, warranty analytics\, and second-life assessment. We created a closed-loop feedback system where field data continuously enhances engineering models. This integrated approach helps OEMs\, battery manufacturers\, fleet operators\, and engineering teams improve reliability\, reduce lifecycle risk\, and maximize battery value across the . 								\n				\n					\n				\n		\n					\n				\n				\n									Date & Time:July 16\, 2026 @ 2:30 pm – 3:30 pm ISTMode: Online (Zoho)  								\n				\n					\n				\n		\n					\n				\n				\n									\n					\n						\n									Register Now
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:20260705T095847
CREATED:20250407T230226Z
LAST-MODIFIED:20250425T074742Z
UID:12138-1745510400-1745514000@oorja.energy
SUMMARY:Accelerating Battery Innovation with oorja: A Smarter Approach to Design & Development
DESCRIPTION:Battery systems in electric mobility and industrial applications are no longer static engineering components—they are dynamic assets whose performance\, safety\, and value evolve throughout their lifecycle. Yet today\, battery engineering and field operations remain largely disconnected. This webinar presents a unified framework for Battery Health Intelligence Across the Lifecycle\, integrating physics-informed engineering models (oPINN-Battery Design Suite) with fleet-scale operational intelligence (Battery360). oPINN-Battery Design Suite enables battery design\, characterization\, degradation analysis\, thermal prediction\, and virtual validation (HIL/SIL)\, while Battery360 delivers real-world intelligence through SOH/RUL estimation\, predictive diagnostics\, fleet optimization\, warranty analytics\, and second-life assessment. We created a closed-loop feedback system where field data continuously enhances engineering models. This integrated approach helps OEMs\, battery manufacturers\, fleet operators\, and engineering teams improve reliability\, reduce lifecycle risk\, and maximize battery value across the . 								\n				\n					\n				\n		\n					\n				\n				\n									Date & Time:July 16\, 2026 @ 2:30 pm – 3:30 pm ISTMode: Online (Zoho)  								\n				\n					\n				\n		\n					\n				\n				\n									\n					\n						\n									Register Now
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:20260705T095847
CREATED:20250409T105233Z
LAST-MODIFIED:20250409T110115Z
UID:12195-1741276800-1741280400@oorja.energy
SUMMARY:Deciphering Fast Charging Dynamics: Achieving the Optimal Charging Strategy for EVs
DESCRIPTION:Battery systems in electric mobility and industrial applications are no longer static engineering components—they are dynamic assets whose performance\, safety\, and value evolve throughout their lifecycle. Yet today\, battery engineering and field operations remain largely disconnected. This webinar presents a unified framework for Battery Health Intelligence Across the Lifecycle\, integrating physics-informed engineering models (oPINN-Battery Design Suite) with fleet-scale operational intelligence (Battery360). oPINN-Battery Design Suite enables battery design\, characterization\, degradation analysis\, thermal prediction\, and virtual validation (HIL/SIL)\, while Battery360 delivers real-world intelligence through SOH/RUL estimation\, predictive diagnostics\, fleet optimization\, warranty analytics\, and second-life assessment. We created a closed-loop feedback system where field data continuously enhances engineering models. This integrated approach helps OEMs\, battery manufacturers\, fleet operators\, and engineering teams improve reliability\, reduce lifecycle risk\, and maximize battery value across the . 								\n				\n					\n				\n		\n					\n				\n				\n									Date & Time:July 16\, 2026 @ 2:30 pm – 3:30 pm ISTMode: Online (Zoho)  								\n				\n					\n				\n		\n					\n				\n				\n									\n					\n						\n									Register Now
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:20260705T095847
CREATED:20250409T110356Z
LAST-MODIFIED:20250409T112455Z
UID:12200-1737662400-1737666000@oorja.energy
SUMMARY:Identifying the Goldilocks Zone: Perfecting Parameters for Li-ion Battery Modeling
DESCRIPTION:Battery systems in electric mobility and industrial applications are no longer static engineering components—they are dynamic assets whose performance\, safety\, and value evolve throughout their lifecycle. Yet today\, battery engineering and field operations remain largely disconnected. This webinar presents a unified framework for Battery Health Intelligence Across the Lifecycle\, integrating physics-informed engineering models (oPINN-Battery Design Suite) with fleet-scale operational intelligence (Battery360). oPINN-Battery Design Suite enables battery design\, characterization\, degradation analysis\, thermal prediction\, and virtual validation (HIL/SIL)\, while Battery360 delivers real-world intelligence through SOH/RUL estimation\, predictive diagnostics\, fleet optimization\, warranty analytics\, and second-life assessment. We created a closed-loop feedback system where field data continuously enhances engineering models. This integrated approach helps OEMs\, battery manufacturers\, fleet operators\, and engineering teams improve reliability\, reduce lifecycle risk\, and maximize battery value across the . 								\n				\n					\n				\n		\n					\n				\n				\n									Date & Time:July 16\, 2026 @ 2:30 pm – 3:30 pm ISTMode: Online (Zoho)  								\n				\n					\n				\n		\n					\n				\n				\n									\n					\n						\n									Register Now
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20241126T150000
DTEND;TZID=UTC:20241126T150000
DTSTAMP:20260705T095847
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:Battery systems in electric mobility and industrial applications are no longer static engineering components—they are dynamic assets whose performance\, safety\, and value evolve throughout their lifecycle. Yet today\, battery engineering and field operations remain largely disconnected. This webinar presents a unified framework for Battery Health Intelligence Across the Lifecycle\, integrating physics-informed engineering models (oPINN-Battery Design Suite) with fleet-scale operational intelligence (Battery360). oPINN-Battery Design Suite enables battery design\, characterization\, degradation analysis\, thermal prediction\, and virtual validation (HIL/SIL)\, while Battery360 delivers real-world intelligence through SOH/RUL estimation\, predictive diagnostics\, fleet optimization\, warranty analytics\, and second-life assessment. We created a closed-loop feedback system where field data continuously enhances engineering models. This integrated approach helps OEMs\, battery manufacturers\, fleet operators\, and engineering teams improve reliability\, reduce lifecycle risk\, and maximize battery value across the . 								\n				\n					\n				\n		\n					\n				\n				\n									Date & Time:July 16\, 2026 @ 2:30 pm – 3:30 pm ISTMode: Online (Zoho)  								\n				\n					\n				\n		\n					\n				\n				\n									\n					\n						\n									Register Now
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
END:VEVENT
END:VCALENDAR