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
Overview · E-rickshaw fleet
Fleet battery health
Avg. SoH
86.4%
+1.2 pts
Batteries
120
96 healthy
At risk · 90d
6
18 to watch
Life added
0 mo
pending
EV-0447 · Watch
71%
SoH · expected 84%
Below 60% in about 5 months
- Fast charging to 100% at noon
- Cell 7 imbalance, 49 mV
- Cap at 85%, no charging 12 - 3 pm
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
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
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.
Day 1
Connect
Telematics or BMS feed connected over MQTT, REST or file drop.
Day 3
Map
Batteries matched to serials, vehicles and depots. Live readings on screen.
Week 1
Score
First State of Health scores and charging habits for every pack.
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.
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