We’re explicit about what EVCare™ measures versus what it projects. The performance figures we cite are modeled targets — not yet field-verified — and here is exactly how we arrive at them.
Measured vs Modeled
The platform measures real telemetry: 47 electrochemical parameters per vehicle, state of health and charge, thermal behavior, and the FitStar™ scores derived from them. These are observations, not estimates.
Savings, downtime reduction, and ROI are projections built from agency inputs and industry baselines. They describe what a deployment is designed to achieve — not a guaranteed or field-verified result.
We deliberately label projected figures as modeled targets throughout the site, including in the case study and ROI calculator. Until a pilot completes, no performance claim on this site should be read as a realized customer result.
Inputs
Number of vehicles, bus types, OEM mix, and typical daily range.
Routes, block lengths, and charging patterns that drive battery stress.
The operational and spare-bus cost of an unplanned outage at your agency.
Current reactive-maintenance frequency and labor cost.
Energy cost and charging behavior that affect longevity.
Replacement cost, expected life, and residual/second-life value.
The Modeled Targets
Modeled targets — not yet field-verified
These are upper-bound targets under favorable assumptions. Actual results vary with fleet age, duty cycle, and data quality. The ROI calculator lets you substitute your own inputs and see a range rather than a single number.
Validation
Every pilot produces a report comparing actual results against the modeled benchmarks — the point at which projections become evidence.
The SiL simulator runs the model against a representative 37-bus fleet so you can see the mechanics before any commitment.
The ROI calculator is transparent and adjustable — change the assumptions and watch the outputs move.
Run your own numbers in the ROI calculator, or ask us to model a scenario against your specific fleet profile.
EVCare™ is at MVP stage today, and we’re transparent about it: the current platform delivers the core battery-health intelligence, while additional modules and capabilities will be introduced and integrated across 2027 and 2028 as we scale.