How a major North American transit agency used EVCare™ to reduce unplanned downtime by 50%, increase fleet availability to 94%, and achieve ROI payback in under 8 months.
The Challenge
The agency — a major North American transit operator — runs one of the region's most progressive zero-emission bus fleets. As its Battery Electric Bus deployment scaled, the limitations of general-purpose telematics became critical.
The core problem: the agency had data — telematics telemetry, BMS readouts, maintenance logs — but no intelligence layer to interpret it. Battery health was assessed reactively, after a bus failed or a range shortfall became operationally disruptive.
Key pain points identified during discovery included unpredictable range degradation across a mixed-OEM vehicle fleet, maintenance scheduling based on mileage cycles rather than actual battery condition, no early warning system for thermal anomalies or accelerated cell degradation, and inability to confidently assign buses to longer routes based on real-time battery state.
Fleet Profile
The Solution
Volterra connected EVCare™ to the agency's existing telematics infrastructure — no new hardware, no operational disruption. Within 72 hours of data onboarding, FitStar™ scores were live across the full fleet.
Simulation Highlights
CareStar™ detected a Module 5 temperature rise to 47°C — 12°C above the fleet average. AMS™ issued an immediate prescription to return the bus to depot. Inspection confirmed early-stage thermal runaway indicators. Without EVCare™, this bus would have completed its route cycle before the issue was discovered.
FitStar™ flagged Bus B as below the SoC threshold for Block 12 during morning dispatch planning. The bus was reassigned to a shorter route before pullout — preventing a service disruption that would otherwise have been discovered mid-route.
LPM™ identified accelerating degradation patterns consistent with BMS component failure. Maintenance was scheduled and completed before the cascade failure that would have sidelined the bus for 3–5 days. Estimated avoided downtime: several service-days.
Results
Predictive dispatch assignment and proactive maintenance scheduling increased the percentage of buses reliably available for service by 5 percentage points.
AMS™ prescriptions converted reactive breakdown responses to scheduled maintenance events. Unscheduled maintenance incidents dropped by half over the pilot period.
Projected annual savings across energy optimisation, maintenance reduction, downtime avoidance, and extended battery lifecycle across the fleet.
Based on actual pilot savings extrapolated to a full 12-month deployment, the EVCare™ subscription cost is recovered in under eight months.
One thermal runaway precursor detected and resolved before escalation. Industry estimates put a full thermal runaway event at $500K–$2M in bus damage, liability, and service disruption.
No hardware installation. No telematics replacement. EVCare™ connected to existing data streams and was delivering FitStar™ scores within 72 hours of data onboarding.
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