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Case study 01

Preventive Maintenance

Major CV manufacturer & fleet operator
2,000+ vehicles across multiple cities

Problem

  • Ensure fleet uptime with preventive maintenance
  • Identifying optimal charging based on usage and degradation
  • Compare fleets across cities and climates
  • RUL estimation for risk analysis

Solution

  • Telemetry + Physics + AI-based analytics
  • Predictive thermal hotspot detection
  • SoH and RUL estimation across the fleet
  • Cell imbalance monitoring and charging behaviour analysis

Outcome

  • Detected growing imbalance and SoC anomaly
  • Predictive maintenance planning enabled
  • Optimized charging and improved monitoring
  • Better engineering visibility into pack health
Vehicles with accelerated degradation
6
Growing cell imbalance detected
400mV
High ΔT identified
28°C
SoC anomaly correction
40%
Predicted early end-of-life
4 vehicles

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