MAQ AI closes those gaps with a single platform that blends fleet operations and battery intelligence, so you run more routes with fewer vehicles, lower energy costs, and keep batteries healthy for first‑life—and ready for second‑life.

Traditional fleet tools track GPS and trips. Useful—but insufficient for EVs. Lithium‑ion packs are living systems; they respond to heat, charge rates, depth‑of‑discharge, and driving behavior. Optimizing an EV fleet means optimizing the battery.

MAQ AI fuses telematics with cell‑level insights to answer:

• Will this van finish the last route without a top‑up? (Real‑time SoC with terrain & load modeling)
• Which packs need attention next week, not next month? (SoH trends & RUL predictions)
• How do we minimize energy spend without triggering range anxiety? (Tariff‑aware charging orchestration)
• Are we safe and compliant? (AIS‑156 thermal events, fault code trails, audit logs)

• Live map & dispatch: Trips, stops, idling, geo‑fences, driver scoring.
• ETA with energy margin: Combines speed profile, grade, and ambient temp to forecast arrival and reserve SoC.
• Utilization dashboards: Vehicles/day, km/kWh, and cost per km—by city, route, and driver.

• Accurate SoC & SoH: Sensor fusion from BMS (CAN/UDS) + physics‑informed models to smooth drift and noise.
• RUL prediction: Forecast remaining useful life at module/pack level using charge/discharge patterns, temperature, and IR drift.
• Anomaly detection: Early warnings for imbalance, rising internal resistance, and fast‑aging cells—before downtime.
• Thermal risk watch: Heat‑map views across routes; flags hot chargers, overheated depots, or harsh driving windows.

• Tariff‑aware scheduling: Align charging to off‑peak windows while ensuring morning readiness.
• Depot & public mix: Recommends the cheapest viable plan per vehicle/route.
• Demand management: Staggered charging to avoid peak penalties; supports solar + BESS for cost smoothing.

• AIS‑156 & BMS fault trails: Timestamped events, root‑cause hints, and resolution checklists.
• Battery Passport prep: Lifecycle traceability (cycles, temps, faults) for resale or second‑life programs.
• Sustainability reports: CO₂‑e avoided, kWh mix, and route‑level energy intensity—ready for ESG & tenders.

• Connectors: TSP/IoT devices, OEM BMS, OCPP chargers, ERP/TMS, HRMS for driver rosters.
• Data export: Warehouse sync; webhooks for real‑time events (low SoC, overheating, fault codes).

• Heat‑aware policies: Automatic derating on extreme days; depot cool‑down suggestions.
• Bad roads, good insights: Vibration signatures explain pack imbalance and mounting issues.
• Tariff complexity: Multi‑DISCOM rate tables help planners pick the cheapest, grid‑friendly plan.

Morning dispatch: A “Readiness” tile shows green for route‑ready; orange lists vehicles needing a quick top‑up.
Mid‑shift: A driver hits traffic + 42 °C ambient. MAQ AI updates ETA and flags a 7% SoC shortfall; it suggests a 12‑minute top‑up at the cheapest nearby charger.
Evening maintenance: Two scooters show rising internal resistance on the same string. A predictive ticket is auto‑created for balancing + airflow check before a breakdown.

• ↑ 10–20% utilization by eliminating buffer vehicles.
• ↓ 15–30% energy costs via tariff‑aware charging and fewer emergency top‑ups.
• ↓ 25–40% unplanned downtime through early fault detection.
• ↑ Battery life by 6–12 months with gentler charge windows and route‑heat management.
  Your mileage will vary—routes, loads, climate, and chemistry matter.

• Data in: BMS/CAN frames (SoC, SoH, pack V/I/T, cell delta), GPS, accelerometer, charger OCPP, ambient weather.
• Models: Physics‑informed baselines + ML on degradation signals (cycle depth, C‑rate, temp history, IR drift).
• Controls: Charging set‑points, route suggestions, thermal guardrails, alert thresholds.
• Security: Role‑based access, encryption at rest/in transit, audit logs.

• E‑commerce last‑mile: Energy‑aware ETAs reduce range‑anxiety returns.
• Corporate shuttles: Smart off‑peak charging + guaranteed morning readiness.
• 2W/3W micro‑mobility: Cell‑level heat alerts, theft geo‑fences, optimized swap cycles.
• Municipal fleets: CO₂ & cost dashboards for tenders and public accountability.

We already have a TMS. Why MAQ AI?
TMS plans where goods go. MAQ AI ensures vehicles get there efficiently and safely—with the lowest energy and battery‑wear cost. Use our APIs to keep TMS in the loop.

How accurate are SoH & RUL?
We blend BMS readings with model‑based corrections and historical profiles. Expect robust trends with confidence bands—great for planning and decision‑making.

Can you help with second‑life planning?
Yes. We maintain per‑pack health histories and export Battery Passport‑style records to support resale or repurposing (e.g., stationary storage). From retired to recharged.

Are we covered on AIS‑156?
We track thermal events, short‑circuit warnings, and fault codes with timestamped evidence, plus remediation checklists—useful for audits and RCA.

Ready to turn EV data into reliable, profitable operations?
Book a live demo of MAQ AI—see dashboards, RUL forecasts, and tariff‑aware charging in action. Bring your toughest route and last month’s energy bill; we’ll show you where the savings (and risks) hide.