· Webinar
State of Health (SOH) is widely used as a measure of battery health, but a single SOH percentage can often hide what is actually happening inside the battery. This becomes particularly important…
View details: Rethinking SOH: Understanding Battery Health in the Real World· Webinar
Thermal modeling is critical across engineering systems—from battery packs and power electronics to automotive, aerospace, energy storage and industrial equipment. Today, FEM, FVM and CFD remain the backbone of high-fidelity thermal simulation.…
View details: Thermal Modeling with PINNs: Bringing Physics-Based Simulation to Real-Time and Edge Applications· Webinar
The future of after-sales service is no longer about diagnosing problems after they occur—it’s about predicting them before they happen. By combining battery data with physics-based intelligence and advanced analytics, organizations can…
View details: Predict Before It Fails: The future of Battery Service and Maintenance· Webinar
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…
View details: Battery Health Intelligence Across The Lifecycle· Webinar
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…
View details: Pack degradation using Physics and data based approach: From Cell Variability to System-Level Insights· Webinar
At the heart of this shift lies the flat OCV curve of LFP cells, which severely limits voltage-based observability. This has deep implications across the battery lifecycle: from pack design and cell…
View details: LFP vs NMC: Beyond the Flat Curve — Rethinking Battery Design, BMS, and Monitoring· Webinar
Battery faults are rare, unpredictable, and difficult to test safely—yet they are the very scenarios that define the robustness of an EV or energy storage system. In this webinar, oorja unveils a…
View details: Virtual Battery SIL Integration: Fault Injection, Diagnostics, and System Behaviour· Webinar
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.…
View details: Identifying the Goldilocks Zone: Parameter Estimation for Li-ion Battery Modeling· Webinar
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…
View details: Maximizing Fleet Uptime & Battery ROI with Predictive Intelligence from Battery 360· Webinar
OCV curves are one of the most fundamental components of battery modelling. They capture the true electrochemical behaviour of a cell at rest and form the baseline for accurate SOC estimation, thermal…
View details: The Importance Of OCV Curves In Understanding Battery Behaviour· Webinar
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,…
View details: Accelerate BMS Validation Using Synthetic Data· Webinar
Join us for an insightful joint webinar hosted by oorja and Customized Energy Solutions (CES), where we discuss oorja’s advanced hybrid (physics + ML) modeling techniques for optimizing battery cycle life testing requirements,…
View details: Optimizing Cycle Life Testing: Hybrid (Physics + ML) Modeling Approach for Real-world Applications· Webinar
"oorja's platform transformed our cycler data post-processing workflow by integrating data-driven and physics-based hybrid modeling. We were able to calibrate Beginning-of-Life and degradation models in under a month, and—critically—track the evolution of…
View details: Data-Driven Approaches to Minimize Battery Testing & Improve Degradation Modeling· Webinar
Startups in today's rapidly evolving battery sector encounter unique challenges in designing, testing, and optimizing battery packs with limited resources and critical time-to-market pressures. Time intensive research and development is a luxury…
View details: Accelerating Battery Innovation with oorja: A Smarter Approach to Design & Development· Webinar
The demand for faster EV charging is undeniable—we’ve all seen headlines promising ridiculously short charging times. But pushing the limits without a deep understanding of battery dynamics can have devastating consequences. Suboptimal…
View details: Deciphering Fast Charging Dynamics: Achieving the Optimal Charging Strategy for EVs· Webinar
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.…
View details: Identifying the Goldilocks Zone: Perfecting Parameters for Li-ion Battery Modeling· Webinar
Estimating End of Life (EoL) for a battery is often a complex, expensive, and time-intensive process. Traditional, accelerated life testing (ALT) methods rely heavily on cycler testing, which can take months to…
View details: Physics Informed ML to Reduce Accelerated Life Testing for Li-Ion Batteries by 75%Tell us what you’re working on and we’ll show you where oorja fits into your existing workflow.