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Battery data readiness

Know your battery data before you act on it.

NoahCells checks, standardises and interprets battery test data so your team knows what is usable, what needs attention and what it is safe to conclude — before modelling, validation or a commercial decision depends on it.

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cell_042_discharge.csvIllustrative
Domain verdict — Battery · Li-ion cycling
Dataset readiness
Needs review
3 issues flagged
Completeness
Gaps in 4 channels
Protocol match
2 cells off-spec
Signal quality
Clean
Findings
Temperature channel dropout, cells 12–14high
Rest step shortened in 2 cyclesmedium
Internal resistance triples at low SOC (209 → 634 mΩ)medium
Proposed next step — fit a resistance model to estimate state of charge
ApproveRevise
Recognised and validated by
Women in Innovation
UKRI
Innovate UK
National Physical LaboratoryDeep Psi LtdBREATHE Battery Technologies
01 — The hidden bottleneck

Before the analysis begins, the real work is fixing the data.

Test campaigns arrive in different formats, from different rigs, with different assumptions baked in. Most battery teams rebuild the same checks by hand, in spreadsheets and one-off scripts, every single time.

01
Formats never match
Every cycler, lab and partner exports differently. Merging campaigns is a project of its own.
02
Problems surface late
A sensor artefact found during modelling costs far more than one found at ingestion.
03
Checks live in people's heads
The reasoning behind "this dataset is fine" is rarely written down, and rarely repeatable.
04
Conclusions are hard to defend
When a result is challenged, teams re-derive the evidence instead of pointing to it.
02 — Meet NoahCells

From raw battery data to a decision you can defend.

One pass through NoahCells takes a dataset from arrival to a clear, reviewed, reportable position — with your engineers in the loop at the point where judgement matters.

01
Bring in data
Connect campaigns and formats from across your test estate.
02
Check and standardise
Automated checks run consistently, every dataset, every time.
03
Identify issues
Missing values, sensor artefacts, protocol drift and unstable segments.
04
Understand condition
Interpretable indicators for capacity, resistance, thermal stress and safety.
05
Review and validate
Engineers inspect assumptions, then approve, adjust or reject.
06
Report and decide
A readable record of what was found, what it means and what happens next.
03 — What it helps you do

Six things your team stops doing by hand.

All features →
Know if your data is ready
A clear position on whether a dataset is fit for the stage it is heading into — ready, needs review, or issues detected.
Find problems early
Missing information, inconsistent protocols, sensor artefacts and unstable segments surfaced at ingestion, not at modelling.
Read what the battery is telling you
Move from raw time series to interpretable indicators across capacity, resistance trends, thermal stress and safety flags.
Keep engineers in control
Every assumption is inspectable and every flag is reviewable. Automation where it saves time, judgement where it matters.
Work with stated confidence
See not only the result but how much weight it can carry — what is known, what is uncertain, what needs investigation.
Produce repeatable reports
Findings, confidence and recommended next actions in an output that survives review by someone who was not there.
04 — Where it fits

Built for one part of the workflow, and built properly.

NoahCells does not replace your cyclers, your models or your engineers. It occupies the step between generating data and trusting it — the step most teams currently improvise.

Test
Prepare
Understand
Review
Decide
NoahCells
Cells are cycled and characterised on your rigs.
Datasets are brought together and standardised.
Issues and battery indicators are surfaced.
Engineers confirm, adjust or reject the findings.
Modelling, validation and commercial calls proceed.
05 — Who it is for

If your team spends its week preparing data, this is for you.

Labs
Battery test laboratories
Cut repetitive preparation across high volumes of campaigns and hand over consistent, checked datasets.
Read more →
Validation
OEM and validation teams
Catch issues before sign-off and carry a documented basis for every validation decision.
Read more →
R&D
Battery R&D teams
Start modelling from datasets you already trust, and spend the time saved on the engineering itself.
Read more →
Second life
Assessment and second-life
Build a consistent, explainable view of battery condition when the incoming data is uneven.
Read more →
06 — Why NoahCells

A battery-specific answer to a battery-specific problem.

Generic data tooling does not know what a rest step is, or why a resistance trend matters. NoahCells is built around how battery testing actually works.

Common approach
The NoahCells approach
Manual data cleaning
Automated, repeatable checks
Generic data tools
Battery-specific workflows
Black-box outputs
Transparent, interpretable findings
Data sent to external systems
Local or controlled deployment
Fully automated decisions
Engineers stay in control
Unstructured analysis
Clear readiness and next steps
07 — Security and control

Your battery data stays under your control.

Test data is commercially sensitive. NoahCells is designed to run where your data already lives, with access and oversight you set.

Talk to our team
Local or controlled deployment
Run inside your own environment rather than shipping datasets elsewhere.
Role-based access
Control who can see, review and approve which datasets.
Auditability
A traceable record of what was checked, flagged, reviewed and approved.
08 — Evidence

Built with innovation. Strengthened through validation.

NoahCells is developed by Deep Psi Ltd and supported by leading UK innovation and measurement science programmes.

Women in InnovationUKRIInnovate UK
Innovate UK Women in Innovation
Recognised through Innovate UK's Women in Innovation programme, which backs UK founders building solutions to real-world challenges.
National Physical Laboratory
National Physical Laboratory — M4B
Working with the UK's national measurement institute to test our models against carefully characterised experimental and synthetic battery data.
BREATHE Battery Technologies
Industry engagement
Developed and refined alongside battery industry partners, validation teams and early users.

See what your battery data is really telling you.

Bring a recent campaign and we will walk through how NoahCells would assess it, what it would flag and where it would fit in your workflow.

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