Maximizing Fleet Uptime & Battery ROI with Predictive Intelligence from Battery 360
Date & Time:
Mode
Online (Zoho)
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 understand the health, performance, and remaining useful life of every battery in your system—before failures happen?
Introducing Battery 360, oorja’s real-time predictive diagnostics platform built on our hybrid physics + AI technology. Battery 360 empowers OEMs, fleet owners, and energy operators with continuous visibility into battery behaviour, transforming raw telemetry into meaningful, actionable intelligence.
What You’ll Learn:
- Why traditional BMS data isn’t enough for accurate health and safety predictions
- How physics-informed AI delivers deeper insights into battery ageing, thermal behaviour, and degradation
- Live demonstration of Battery 360’s dashboards for EV and BESS fleets
- Real-world outcomes: Early fault detection, state-of-health estimation with high accuracy, and Predictive Remaining Useful Life (RUL) forecasting.
- How fleet operators can leverage Battery 360 to increase uptime, reduce O&M costs, and improve asset longevity
Who Should Attend: EV fleet operators, BESS operators & integrators, OEMs & Tier-1 suppliers, Battery engineers, safety teams, data analysts, and anyone looking to adopt predictive intelligence for better battery decisions.
Meet The Speakers
Dr. Vineet Dravid
CEO, oorja
Prashant Srivastava
CTO, oorja
