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Battermore
NewFailure forecasts up to 24 months ahead

Get more life from every battery.

Battermore is AI battery health analytics for EV fleets and energy storage. Monitor every pack, score its health, predict failures months ahead, fix the charging habits wearing it out and build evidence for warranty claims.

  • No card required
  • No new hardware
  • Live in 3 days

+7 mo

typical life added per watch-list pack

±2.4%

State of Health accuracy with cell data

5 mo

average warning before a pack fails

CAN bus BMS gatewaysModbus RTU / TCPMQTT telematicsOCPP 1.6 / 2.0.1 chargersSwap station logsInverter monitoring portalsREST API and webhooksCSV and Parquet uploadsCAN bus BMS gatewaysModbus RTU / TCPMQTT telematicsOCPP 1.6 / 2.0.1 chargersSwap station logsInverter monitoring portalsREST API and webhooksCSV and Parquet uploads

The most expensive part

The battery decides what an electric fleet really costs.

The pack is often the single largest cost in an electric vehicle, and the way it is charged, driven and parked decides whether it lasts two years or five. Most fleets only find out how a battery was treated when it fails. Battermore shows you while there is still time to change it.

Heat

Charging a hot pack in the afternoon is one of the fastest ways to age lithium-ion cells.

Full charges

Sitting at 100% and charging to full every day adds wear that an 85% cap avoids.

Deep discharge

Running packs close to empty stresses cells and widens imbalance over time.

Platform

One platform for the whole battery life.

Every product reads from the same history for each battery, so a reading in Cell Monitor becomes a score, a forecast, a charging fix and, if it comes to it, a warranty claim.

Cell Monitor

Every cell, every fifteen minutes.

Live readings from every battery management system and telematics unit in your fleet: pack and cell voltage, current, temperature and charge cycles in one view.

  • Pack and cell voltage, current and temperature
  • Equivalent full cycles from real throughput
  • Imbalance and over-temperature alerts
Explore Cell Monitor
Cell Monitor / Chennai depot / EV-0447
Live

Pack voltage

51.62V

16s LFP · 51.2 V nom.

Current

-18.4A

Discharging

Max temp

38.2°C

Cell 7 · ambient 34

Cycles

612EFC

+2.1 / day

Pack voltage · 24 h49.8 - 53.6 V
00:0006:0012:0018:00Now
Cell voltagesΔ 52 mV

Cell 7 sits 49 mV below pack mean. Imbalance flagged.

Use cases

Built for anyone who owns a lot of batteries.

EV fleets

E-rickshaws, electric two-wheelers and delivery vans. Keep packs on the road longer and replace them on your schedule.

Battery-swap networks

Thousands of packs moving between riders and stations. Track each one by serial and retire it at the right time.

Solar and inverter companies

Home and commercial storage in the field. Spot failing banks before the customer calls.

Battery makers

See how packs age in real use, answer warranty claims with evidence and improve the next design.

Onboarding

From first connection to forecasts in four weeks.

Start the trial
  1. Day 1

    Connect

    Telematics or BMS feed connected over MQTT, REST or file drop.

  2. Day 3

    Map

    Batteries matched to serials, vehicles and depots. Live readings on screen.

  3. Week 1

    Score

    First State of Health scores and charging habits for every pack.

  4. Week 4

    Forecast

    Forecasts tighten, schedules go out and warranty windows are tracked.

Trust

Honest numbers, owned data.

How we handle estimates, warranty evidence and the people behind the charging data.

Estimates show their confidence

Forecasts and health scores are estimates based on the data available. Every number carries a confidence range, and it widens when data is thin.

Evidence, not verdicts

Warranty reports present evidence. Claim decisions are made by the manufacturer under the terms of your warranty.

Driver data for battery care only

Driver-level charging data is used only for battery care and coaching. It is never sold or used to rate people for anything else.

Your data stays yours

Battery and fleet data belong to the customer, are encrypted in transit and at rest, and can be exported or deleted on request.

Diagnostics

Questions

Straight answers about data sources, hardware, accuracy and setup. Ask our team for anything else.

Which batteries and BMS systems work with it?

Lithium-ion (LFP, NMC, LTO) and lead-acid packs. We read from any BMS that exposes data over CAN through a gateway, Modbus or a telematics unit, and from charger and swap station logs. If your data already reaches a server, we can usually read it.

Do we need new hardware?

Most fleets do not. If your vehicles send telematics or your BMS has a gateway, we connect to that. For packs with no connectivity, we can recommend compatible loggers.

How accurate are the forecasts?

With cell-level data and three months of history, State of Health is typically within 2 to 3%, and six-month remaining-life forecasts usually land within about a month. Every number shows its own confidence range.

Can drivers see their charging score?

Yes, if you choose. Scores can appear in your driver app through our API, on depot screens or in a weekly message. Driver data is used only for battery care and coaching.

Does it work for solar storage?

Yes. Home, commercial and telecom storage use the same health scoring and forecasts, with models tuned for stationary duty cycles. Second-life packs keep their history after leaving the road.

How long does setup take?

Most fleets see live readings within three days and first health scores within a week. Forecasts tighten over the first four weeks as more cycles come in.