Battery
Cell identity and operating context set the baseline.
We’re building the testing and AI platform that turns battery data into decisions about health, safety, second-life value and recovery.
One battery · one evolving record
Scroll to exploreBattery health is hard to see from a single dashboard or test. The evidence is scattered across impedance, cycling, temperature, operating history and manufacturing data.
BICC is building a centre that brings those signals together—so each battery can be assessed for what comes next, with the reasoning and record to support the decision.
The centre is designed to connect how cells age with how they fail, then make the resulting intelligence useful across the battery lifecycle.
Cell identity and operating context set the baseline.
One time-synchronised view of condition and behaviour.
Joined data becomes a traceable cell-level signature.
Health, remaining life, safety and value in context.
Evidence to guide reuse, recovery or continued service.
CONCEPTUAL SYSTEM DESIGN · MODEL OUTPUTS DEPEND ON VALIDATION DATA AND INTENDED USE
Testing is the beginning. The lasting value comes from turning evidence into decisions that travel with every battery.
Measure how cells respond across impedance, cycling and environmental conditions.
Testing services · plannedEstimate state of health, remaining useful life and emerging risk from joined signals.
AI models · in developmentBuild a documented, evidence-led view of battery condition and provenance.
Score & passport · plannedMatch battery capability and residual life to a suitable second-life application.
Second-life ecosystem · exploredSupport sorting, compliance traceability and end-of-life route decisions.
Recycling intelligence · later phaseA digital identity designed to bring a battery’s history and condition into one legible record—from first use to its next destination.
EIS fingerprint
Awaiting test data
Seven planned zones connect degradation evidence, safety behaviour and intelligence. The Phase 1 lab is not yet commissioned.
Impedance signatures, interfaces and cell-to-cell variation.
Capacity, life, pulse performance and fast-charge studies.
Temperature, humidity and thermal shock under controlled conditions.
Impact, vibration, crush and enclosure integrity in isolated space.
Overcharge, short circuit, overcurrent and BMS failure modes.
Multi-modal failure data including gas, thermal, video and acoustic.
One timestamped record connecting test, cell, condition and calibration.
Consistent IDs and test context support analysis across every stream.
* EIS window is a target specification. Zone capabilities and safety infrastructure remain subject to engineering, commissioning and validation.
BICC’s planned models bring electrochemical insight together with measured behaviour. Their performance will depend on validation across suitable data and use cases.
Health estimate from impedance, cycling, temperature and history.
Remaining cycles to a defined threshold, with operating context.
Degradation progression and early-failure signatures.
Risk indicators informed by chemistry, condition and charging.
Suitability and residual value for a defined next application.
METHOD NOTE · Physics-informed design aims to encode degradation mechanisms rather than treat a cell as a black box. Model outputs are not yet validated products.
Independent, explainable battery intelligence can help teams make better decisions at each hand-off.
Battery health, residual value and a traceable record to support fleet planning and EPR workflows.
Pilot conversations welcomeEvidence to assess battery risk and value when financing EVs and storage assets.
Use case under explorationGrading and remaining-life evidence to match retired batteries with stationary use.
Ecosystem in formationChemistry, condition and sorting intelligence to guide end-of-life decisions.
Later-phase explorationCharacterisation and failure-behaviour data for quality and product development.
Testing capability plannedCollaboration on methods, validation data and battery-life understanding.
Collaboration program formingA phased build lets the data and customer use cases shape the centre as it grows.
Start with cell-level data and a useful first intelligence layer.
Add higher-complexity capability as validation and demand develop.
Connect the intelligence layer with circular services and materials.
The lab design is intended to map relevant test and quality frameworks to customer use cases. That is a design basis—not a claim of accreditation, certification or compliance.
BICC has not claimed NABL accreditation, ISO/IEC 17025 accreditation, BIS or AIS approval, or third-party certification.
We’re building the research and industry relationships behind a trusted battery-data ecosystem. Confirmed partner announcements will appear here as they are ready.
Explore collaborationMethods, explainers and research notes will be shared as the work develops.
How EIS can surface cell behaviour that a single health percentage cannot.
Why useful life is about cycles to a defined threshold, not just today’s capacity.
A look at the data architecture being designed for a traceable battery record.
Bring us a battery question, a use case or a research challenge. We’re speaking with teams who want to help define what useful battery intelligence should look like.
Request a pilot