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Fleet operations

Your fleet doesn't charge itself. Make sure it can.

Charger downtime means vehicles stuck in the depot and deliveries missed. ChargeOS monitors your chargers around the clock and alerts you before failures happen — so your fleet is ready every morning.

The problem

Charger downtime = vehicles stuck.

Fleet vehicles charge overnight. If a charger fails at 2am, you find out at 6am when the vehicle isn't ready. By then, it's too late.

Silent overnight failures

A charger fault at 2am means a vehicle with 15% charge at 6am. No one was watching. The first route of the day is already delayed.

Cascading schedule impact

One uncharged vehicle affects the entire day's routing. Other vehicles take on extra routes. Drivers hit overtime. Deliveries are late.

Expensive emergency fixes

Emergency technician dispatch costs $300-500 per visit. Charger issues that could have been prevented with a remote reset or scheduled maintenance.

Uptime monitoring

Real-time status. Instant alerts.

ChargeOS pushes every status change, fault, and connectivity event to your dashboard the instant it happens. No polling. No 5-minute refresh delays. If a charger goes offline at 2am, you know at 2am.

Live status for every charger

Available, Charging, Faulted, Offline — every state change pushed to the dashboard in real time via SSE. No page refreshing.

Multi-channel alerts

Dashboard notifications, Slack webhooks, and email. Your overnight operations team gets notified immediately when a charger needs attention.

Connectivity monitoring

Heartbeat irregularity, connectivity loss, and weak signal detection. ChargeOS watches for network issues that precede complete outages.

Site-level correlation

When multiple chargers at a site show issues simultaneously, ChargeOS identifies it as a site-wide event — grid voltage, network outage, or firmware problem.

Predictive maintenance

Prevent overnight charging failures.

17 signals monitored per connector. Statistical process control detects gradual degradation days before it causes a failure. Schedule maintenance during the day instead of scrambling at 6am.

17
signals monitored

Safety, hardware, performance, and connectivity signals. Each independently tracked per connector.

3–5
days advance warning

CUSUM and EWMA detect gradual drift. You schedule the fix during business hours, not at 6am.

0–100
health score per charger

Ranked list of chargers needing attention. Green, amber, red. Your fleet manager knows exactly where to focus.

Session tracking

Energy delivered. Charging patterns. Usage data.

Every charging session is recorded with duration, energy delivered, stop reason, and timestamps. Track fleet charging patterns and identify chargers that aren't performing as expected.

Complete session records

Every session records start time, stop time, energy delivered (Wh), duration, and stop reason. Sufficient detail for cost allocation, driver reporting, and integration with fleet management systems.

Underperforming charger identification

Identify chargers that consistently deliver less energy than expected, or sessions that end earlier than normal. The energy delivery ratio signal detects gradual degradation in charging performance before it causes a vehicle to leave the depot under-charged.

Failure pattern analysis

Spot patterns across your fleet: which chargers fail on which days, which connectors have the most session aborts, and which sites show correlated failures that point to a shared infrastructure problem rather than individual unit faults.

Real-time meter values

Live electrical measurements during active sessions: energy, power, current, voltage, temperature, and state of charge (when reported by the vehicle). Streamed to the dashboard the instant they arrive — no polling.