Limited fleet visibility
Data often sits in separate BMS portals, site loggers, or vehicle platforms. Comparing asset condition across sites, vehicle types, or customers is slow, so outliers can go unnoticed.
In development · Pilot conversations open
VoltTrace is a battery health analytics platform being built to turn data from compatible battery management systems into health trends, degradation estimates, and maintenance insights — so operators can decide when to inspect or replace assets with more context.
Rack-03 · LFP · Demo data
Estimated health trend
Product concept
An interactive preview of the planned interface. Select an asset to see its profile, temperature trends, charging history, and estimated health indicators.
Demonstration data only. Every asset, value, alert, and maintenance record in this preview is synthetic and generated for illustration. It does not describe real batteries, real customers, or measured results.
Synthetic demonstration data. Health values are model-style estimates shown with ranges, not measurements. Thresholds shown are examples an operator would set.
The problem
Battery management systems record voltage, current, and temperature continuously. Turning years of that telemetry into a clear view of how assets are ageing — and what to do about it — often falls to spreadsheets and individual judgement.
Data often sits in separate BMS portals, site loggers, or vehicle platforms. Comparing asset condition across sites, vehicle types, or customers is slow, so outliers can go unnoticed.
Inspections are frequently scheduled by calendar or triggered by faults rather than by observed condition. Records are scattered, making it hard to link interventions to later behaviour.
Capacity fade depends on chemistry, temperature exposure, depth of discharge, and charge rates. Without a consistent method, replacement budgets and warranty conversations rely on rough assumptions.
Planned features
The capabilities below describe the product we are building. Scope will be refined with pilot partners.
Every connected asset in one list, with segment, chemistry, estimated health, and open alerts — filterable by site, vehicle group, or customer.
Summaries of thermal exposure, charge rates, depth of discharge, and cycling patterns — the operating factors most associated with ageing.
Estimated state-of-health trends shown with uncertainty ranges, so teams see both the likely direction and how confident the model is.
Flags for patterns worth a closer look — such as rising temperature spread or faster-than-peer capacity fade — routed for human review.
Inspections, part swaps, and firmware updates logged against each asset, so condition trends can be read alongside what was done.
Projections against thresholds you define, to help schedule inspections and budget for replacements. Final decisions stay with your engineering team.
How it works
Ingest telemetry and historical exports from supported BMS and data sources. Compatibility is confirmed per system during pilot scoping.
Clean and align the data, then summarise temperature exposure, charging behaviour, and cycling for each asset.
Apply degradation models to estimate state-of-health trends and flag unusual behaviour, with uncertainty shown explicitly.
Your team reviews a ranked list of assets to inspect, records actions taken, and plans replacements against its own criteria.
Planned AWS architecture
This is the intended design for the first release. It is not yet in production and may change as pilots reveal data and integration requirements.
Receives device and gateway telemetry over authenticated connections.
Holds raw and processed operating history for analysis and model training.
Trains, evaluates, and runs degradation models; model versions are tracked.
Stores asset profiles, maintenance records, and the estimates shown to users.
Model limitations
Battery degradation modelling is useful when its limits are clear. Here is what our estimates depend on and what they are not for.
Sampling rate, sensor accuracy, gaps, and the length of available history all affect estimate quality. Sparse or noisy data produces wider ranges — or no estimate at all.
LFP, NMC, and other chemistries age differently. Models must be matched and calibrated to the chemistry and cell format in use; unsupported chemistries will be identified during scoping.
Estimates need to be checked against reference measurements such as capacity tests. We plan to validate with pilot partners and report accuracy per deployment rather than claim general figures.
Unusual duty cycles, repairs, or configuration changes the platform is not told about can shift results. Maintenance records help, but cannot capture everything.
About
VoltTrace is building analytics to help battery operators understand long-term degradation and plan maintenance with more confidence. We are currently in development: the product shown on this site is a concept, and we are looking for a small number of pilot partners to shape it with real data.
We have no production customers yet, and we do not hold safety certifications for the platform. Hardware compatibility will be assessed system by system.
Problem research, interface concept, and planned architecture.
Talking with operators about data access, chemistries, and priorities.
Connect partner data, validate estimates against reference tests.
Timing depends on pilot results.
FAQ
Not yet. VoltTrace is in development. The product preview on this site uses demonstration data. We are currently scoping pilots with a small number of operators.
We don't claim universal compatibility. Support depends on what data a BMS or gateway can export, how often, and in what format. We assess each system during pilot scoping and will be direct if it isn't a fit.
We don't publish accuracy figures yet because we haven't validated models on partner data. Accuracy will depend on data quality, chemistry, and available reference measurements, and we plan to report it per deployment with uncertainty ranges shown in the product.
We make no such claim. VoltTrace aims to give operators better information for inspection and replacement decisions. Any operational changes, and their effects, remain the operator's decision.
No. VoltTrace is decision support only. Battery management systems and other protective equipment remain responsible for safety and protective control.
Typically: agreeing on a set of assets and the data available, a secure data-sharing setup, a period of analysis, and joint review of estimates against your own records and tests. Scope and terms are agreed with each partner.
Data handling, retention, and access terms will be agreed in writing before any data is shared. The planned platform runs on AWS; region and security controls will be confirmed with each pilot partner.
Contact
If you operate stationary storage, run an EV fleet, or service batteries for others, we'd like to understand your data and the decisions you need to make.