The scheduling engine behind fleet electrification that pays for itself
Celaxis runs a mixed-integer optimization solver that places charge windows in off-peak TOU slots, tracks 15-minute interval peaks to avoid demand billing spikes, and treats each vehicle's departure SOC floor as a hard constraint — not a preference.
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Four-stage pipeline from tariff data to charger command
Live TOU rate calendars pulled from 200+ utility APIs. Demand period windows, ratchet clauses, and seasonal adjustments updated in real time. No manual rate entry.
Per-vehicle departure windows, SOC floor requirements, charger capacity limits, and site-level peak thresholds are all encoded as hard constraints. Optimization runs within this feasibility space.
Mixed-integer linear program solves the joint scheduling problem across all vehicles simultaneously — not sequentially. Produces the globally optimal charging schedule for each 24-hour horizon.
Optimized schedule pushed to charging network management systems via OCPP or REST API. Real-time deviation monitoring catches unplanned events and re-optimizes within seconds.
The utility intelligence layer
For commercial fleet charging, demand charges and TOU peak windows are the two variables that determine whether electrification reduces or raises operating costs. The tariff engine models both with the granularity your utility bill actually uses — 15-minute demand intervals, season-specific TOU windows, and ratchet clauses that persist beyond the month they're triggered.
Optimization never breaks operations
The hardest constraint in fleet charging optimization is the departure window. Celaxis encodes each vehicle's departure time and minimum SOC requirement as hard constraints before the solver runs — not as soft penalties it can trade off against cost savings. A schedule that saves $200 but puts a bus on the road at 60% SOC when dispatch requires 85% is not an acceptable schedule. It will not be produced.
Departure Window Encoding
Each vehicle's daily departure times are imported from your fleet management system or set manually. The optimizer treats these as hard deadlines, not soft preferences.
SOC Floor Enforcement
Minimum state-of-charge at departure is configured per vehicle or fleet-wide. If off-peak charging can't reach the floor, the system automatically authorizes on-peak charging to meet the constraint.
Missed-Window Alerting
If an unplanned event — charger fault, grid outage, extended dwell time — threatens a departure SOC, operations staff receive an alert with recharge options and cost impact estimates.
Real-time Reoptimization
Every 5 minutes, the optimizer re-runs with updated SOC telemetry, tariff period transitions, and any constraint changes. The schedule is always the best solution available right now.
REST API for enterprise integration
Embed Celaxis scheduling directly in your fleet management platform via our REST API. Submit fleet configurations, retrieve optimized schedules, and push commands to your EVSE network programmatically.
POST https://api.celaxiq.com/v1/schedule
Authorization: Bearer <token>
Content-Type: application/json
{
"fleet_id": "depot-pdx-001",
"tariff_zone": "pacific-power-schedule-37",
"horizon_hours": 24,
"vehicles": [
{
"id": "bus-047",
"soc_current_pct": 41,
"soc_floor_pct": 85,
"departure_time": "06:15",
"charger_id": "bay-12",
"max_charge_kw": 60
}
]
}Start with your utility bill, not a software demo
Send us three months of bills and your fleet's departure schedule. We'll model the demand charge reduction before you commit to anything.