EV Predictive Maintenance

Use KPI Metrics such as Mean Time Between Failure (MTBF) to track the average time that your EV is operating between breakdowns or stoppages. Within 3 months, observe a spike in MTBF, and lower your EV fleet's downtime. Identify the faults & act much before a breakdown occurs.

Leveraging thermal management and voltage-limiting techniques, our solution optimizes battery performance, extending battery life by up to 20%. Our generative AI engine utilizes KPI metrics like Energy Efficiency, CO2 Emission Rate, and Depth of Discharge Rate, providing actionable insights for enhanced performance and sustainability.

ITUS tracks real-time fault codes in powertrain and ECUs, covering over-voltage, over-current, and over-temperature issues. OXRED's AI-driven EV PdM preemptively addresses malfunctions, identifying hazards like Electrolyte Leakage, Cell Imbalance, Rapid Cell Aging, Lithium Plating, and Hotspot Creation, ensuring early intervention and enhanced EV system reliability.

✅ Launch Warranty-as-a-Service model

✅ Use data to upsell maintenance modules

✅ Analyze fault root-cause for better R&D

✅ Incentivize drivers based on maintenance

✅ Avoid over-/under-charging, DOD issues

✅ Slow down battery aging and depreciation

🚫 Blindfold method at regular interval

🚫 Replacements before end-of-life

🚫 Untimely breakdown between servicing

✅ Diagnose malfunctions remotely

✅ Accurate estimations of SOH & RUL

✅ Save costs and increase revenue