Pack degradation using Physics and data based approach: From Cell Variability to System-Level Insights
Date & Time:
Mode
Online (Zoho)
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 degradation
Real engineering challenges in pack degradation beyond cell-level insights
How variability (capacity, resistance, temperature) impacts pack life
Predict SoH, performance, throughput and RUL under real-world duty cycles
Evaluate impact of imbalance and defects on pack behavior
Bridge field data and lab testing for better validation and warranty estimation
Meet The Speakers
Dr. Vineet Dravid
CEO, oorja
Prashant Srivastava
CTO, oorja
