Dynovy Intelligence Platform

Know the health of every used battery before you decide its next life.

Dynovy combines a physics-informed Core Model with short, controlled tests to assess the state of health of used lithium-ion cells and modules, and states how certain each result is.

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For recyclers, second-life integrators, OEMs and test laboratories.

Short electrical testBattery structure informationInnovative triage methodsBMS data and history

DYNOVYCore Model

State of health · with confidence rangeResistance and power · health indicatorsGrade or retest · reuse, repurpose, recycle

Physical tests on cells and modules
Two patent applications filed
Designed around EU Battery Regulation state-of-health requirements

Why it matters

Millions of batteries will need a health check before their next life.

See the market case

17M+

electric cars sold worldwide in 2024, over 20% of all car sales

[1] IEA, 2025

1.2M → 50M

EV batteries reaching end of life each year, 2030 to 2050

[2] ICCT, 2023

~20 h

of cycling per unit in conventional repurposing tests

[3] Cobb et al., 2026

Feb 2027

EU battery passport with state-of-health data becomes mandatory

[4] EU 2023/1542

One platform

One model, every piece of evidence.

Conventional assessment runs separate tests and leaves the interpretation to people. The Core Model combines every measurement into one estimate of battery health, states how certain it is, and asks for more evidence only when a decision needs it.

Physics-informed
Built on a battery model that obeys electrochemistry, not a black box.
States its uncertainty
Every result carries a confidence range, so a grade is never a guess.
Learns each battery family
A small set of reference units anchors the model for a whole family.

How the platform works

Each piece of evidence narrows the range

Illustrative

If the range never clears a grade limit, the unit is referred to a full reference test instead of being graded.

Today and tomorrow

Understand battery health today. Predict its behaviour tomorrow.

Current focus

Understanding battery health today

State of health, usable capacity and internal resistance of used cells and modules, each with a confidence range, and a clear grade or a request for more evidence.

Illustrative · grade limits set by the user

In development

Predicting battery behaviour tomorrow

How a unit's capacity is expected to evolve in a defined second-life use, such as stationary storage, with the uncertainty widening honestly over time.

Illustrative · not a delivered output

Compared with conventional assessment

The full test only where it is needed.

Criterion	Full reference cycle	Standalone fast screens	Dynovy Intelligence Platform
Tester time per unit	Several hours	Minutes	Minutes for most units; full test only when needed Target
Basis of the result	Reference measurement	Indicative; sensitive to temperature and procedure	Model calibrated against reference units of the family
Confidence stated with each result	Measurement uncertainty only	Rarely	Always
When the evidence is not enough	Not applicable	Result reported anyway	Asks for more evidence or a full test
Future behaviour	Not provided	Not provided	In development

Tester time per unit

Full reference cycleSeveral hours

Standalone fast screensMinutes

DynovyMinutes for most units; full test only when needed Target

Basis of the result

Full reference cycleReference measurement

Standalone fast screensIndicative; sensitive to temperature and procedure

DynovyModel calibrated against reference units of the family

Confidence stated with each result

Full reference cycleMeasurement uncertainty only

Standalone fast screensRarely

DynovyAlways

When the evidence is not enough

Full reference cycleNot applicable

Standalone fast screensResult reported anyway

DynovyAsks for more evidence or a full test

Future behaviour

Full reference cycleNot provided

Standalone fast screensNot provided

DynovyIn development

Engineer connecting cell sense leads on a battery module in front of test-channel racks — Module test set-up with cell-level voltage sensing

Battery module with a voltage sense lead on every cell group

From the lab

Built on measurements, not assumptions.

The Core Model is developed on physical tests of lithium-ion cells and modules: equivalent circuit characterisation, impedance spectroscopy and temperature-controlled tests.

Inside the lab

Where it applies

One answer for every decision point in a battery's life.

All applications

Recyclers and collection centres

Triage every incoming module, so healthy units are not recycled by default.

Second-life integrators

Grade and match units to storage applications, with a confidence range on each.

OEMs and fleets

Decide at the end of first life: reuse, repurpose or recycle.

Test laboratories

Keep test channels for the units that really need a full cycle.

Why reuse matters

Every battery that lives longer is one that does not have to be made.

61–106 kg

CO₂e emitted to produce each kWh of new lithium-ion battery capacity

[5] IVL, 2019

7–31%

lower carbon emissions for second-life batteries than for new ones in stationary use

[6] Kamath et al., 2020

80%

less greenhouse gas for recycled nickel, cobalt and lithium than for mined material

[7] IEA, 2024

Accurate health assessment lets each battery take the route with the highest value and the lowest footprint: reuse first, recycling when it is time.

Have a battery family you need to grade?

Tell us about your cells or modules and the decision you need to make. We will reply with how a validation project could work for you.

Discuss a validation project