EV Fleet Intelligence

Predictive Maintenance for EV Fleets

Catch battery and powertrain failures before they cost you a vehicle, a route, or a warranty claim.

AIS 140 Certified DPIIT Recognised Cell Level Battery Analytics
EV fleet predictive maintenance dashboard showing battery health tiles, temperature monitoring, and route-level battery risk indicators
Risk score: inspect today Vehicle PM-27 shows abnormal temperature spread and accelerated capacity fade on the latest trendline.
Battery health monitoring Cell delta alerts surface the weak pack long before a route ends in a roadside failure.
Why This Matters

Why scheduled servicing fails on electric fleets

Internal combustion vehicles wear out in ways a workshop can see and a calendar can predict. Brake pads thin, oil ages, belts fray. Electric vehicles do not follow that pattern. They degrade electrochemically inside the battery pack, and the first visible symptom is often a stranded vehicle on a route.

Across Indian fleets, the dominant failure mode is usually not a dramatic one. It is gradual capacity loss, silent cell imbalance, and thermal stress that builds in sustained heat above 40°C and under repeated high state-of-charge cycling. A fleet that follows an OEM service schedule and nothing else has no live view into that failure curve until the vehicle drops out of service or the warranty window is already closing.

Predictive maintenance closes that gap. It moves the decision out of the breakdown moment and into a planned service window, where parts, technicians, and vehicle swaps can be lined up before revenue is lost.

Battery degrades electrochemically, not mechanically.

Cell imbalance is invisible to drivers.

Thermal stress accumulates silently in Indian heat.

A single bad cell can derate the entire pack.

What Navionyx Delivers

What Navionyx predictive maintenance delivers

This is a vehicle-health operating layer for fleet teams, OEM warranty teams, and financiers who need to act before breakdowns turn into cost and downtime.

Battery degradation trend alerts

Track State of Health and capacity fade over time, then flag packs when decline accelerates beyond the expected curve for that duty cycle.

Cell temperature anomaly detection

Read live cell level temperature data where the BMS supports it and catch outlier deltas before thermal issues become field failures.

Usage based maintenance reminders

Move away from fixed service intervals with reminders based on distance, charging cycles, fast charge frequency, load, and route severity.

Breakdown risk indicators

Score battery, motor controller, and thermal-system risk per vehicle so dispatchers can route around high-risk assets before breakdowns happen.

Full maintenance history

Store every alert, inspection, part replacement, and SoH reading against the vehicle lifecycle for service, resale, and battery passport workflows.

Warranty support data

Export structured fault-window evidence including cell voltages, temperatures, charging logs, and fault codes for OEM warranty claims.

EV battery cell anomaly detection visual for predictive maintenance and battery diagnostics
Cell anomaly detected Outlier temperature and voltage deviation identify the cluster that needs inspection before it derates the full pack.
Degradation trendline Trend-based alerts matter more than one-off readings when you need a 60 to 90 day planning window.
Usage-based service clock Fast charging frequency, route severity, and duty cycle all feed the next maintenance recommendation.
Fleet Workflow

How it works across your fleet

From field hardware to a same-day maintenance call, the platform is designed to turn raw EV telemetry into operational decisions.

01

Connect

Install the Navionyx VLTD or telematics gateway and read from the BMS, motor controller, and charging port over CAN, OBD, or supported OEM protocols.

02

Stream

Transmit cell voltages, pack temperatures, charging events, motor telemetry, and trip data to the Navionyx cloud in real time.

03

Score

Compute SoH, capacity fade slope, cell deviation, thermal exposure, and usage intensity into a live maintenance risk score.

04

Act

Push alerts to dashboards, the Navionyx EV app, WhatsApp, and email with clear actions like inspect, recall to depot, or do not dispatch.

Driver App Visibility

Driver side visibility through the Navionyx EV app

A predictive maintenance system that only speaks to the operations centre still leaves the driver guessing. Navionyx pushes the same intelligence to the EV driver app so the person behind the wheel sees what the platform sees.

Drivers receive alerts for battery health changes, irregular charging sessions, cell temperature warnings, and upcoming usage-based service due dates. Each alert is written in plain language with a clear next step, which helps teams close the gap between fault detection, fleet awareness, and driver behaviour.

This same visibility becomes the foundation for the Navionyx battery-health record that follows the asset through first deployment, warranty review, second life, and resale.

Navionyx EV driver app alerts and maintenance visibility
Best Fit

Who this is built for

Fleet operators

Best for last mile delivery, FMCG, intracity goods, and shared mobility fleets where uptime targets are above 95% and route windows are tight.

EV OEMs

Get live field visibility on pack performance, faster warranty closure, and cleaner operating data for the next product generation.

State transport undertakings

Protect schedule reliability for public routes where a single battery-related stoppage becomes a visible service failure.

Last mile delivery and NBFCs

Monitor SoH per asset, defer pack replacement, and price lease-end residual value on verifiable battery-health data instead of assumptions.

60 Day Impact

What changes for a fleet after 60 days

Real outcomes vary by chemistry, duty cycle, and ambient conditions, but the first visible shift is usually better planning time and cleaner service decisions.

60-90 days

early warning on battery-related faults

Measured through earlier fault visibility and better triage across battery-health monitoring workflows.

Average lead time versus reactive failure response in predictive maintenance workflows.
Up to 30%

extension in usable pack life

Measured through earlier fault visibility and better triage across battery-health monitoring workflows.

Observed when thermal stress and degradation patterns are corrected earlier.
18-24 months

deferred pack replacement

Measured through earlier fault visibility and better triage across battery-health monitoring workflows.

Typical deferral range when fleets act on live battery-health signals instead of calendar-only programs.
Platform Connection

How this connects to the rest of the Navionyx platform

FAQ

Frequently asked questions

It is a maintenance approach that uses live data from the vehicle, including battery, motor, thermal system, and charging signals, to predict failures before they happen instead of relying on fixed service intervals.
See The Battery Story

See your fleet's real battery story.

Book a 30 minute walkthrough on a sample of your own vehicles, or review a live dashboard from a comparable Indian EV fleet.

AIS-140 Certified · DPIIT Recognised
By Navionyx Team. This page was written with AI assistance and reviewed by the Navionyx team.
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