‘A Ct for your EV’
Bringing your EV Battery Diagnostics Closer to Perfection.
Uncovering The Blindspot IN Ev Battery Diagnostics
Critical physical issues, such as undetected cracks and leaks, create room for risks to performance, safety, and reliability. This also leads to premature recycling and wasting valuable resources.
INNER bridges this gap, providing a complete picture and setting a new and improved standard for diagnostics and battery management.
Our CT scanner powered by machine learning analysis enables a rapid scan of a complete, unassembled, EV battery pack. It provides precise diagnosis of what we like to call the ‘State of Integrity’ (SoI) of a battery pack referring to exactly this wide range of physical faults (see here the list of faults) whether they are located inside the smallest cells of the large battery pack, or between the cells and the modules.
We are the only ones offering a commodity approach, to make sure you scan every single battery pack.
What we offer:
Our X-Ray/CT Scanner (for packs and modules)
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We designed a CT scanner integrated with machine-learning analysis to meticulously detect a wide variety of internal faults (torn wires, leakages, swollen cells and more) down to 50 micron, ensuring accuracy and efficiency.
INNER’s X-Ray/CT scanner is essential throughout the EV battery lifecycle; from manufacturing to assembling to repurposing. -
We provide our partner with a complete diagnostics of their battery packs by determining their State of Integrity which refers to a wide range of physical faults that can be found inside and between cells and modules of the battery pack. Examples of these faults are: torn wires, swelling cells, cracks and leakages and many more.
Our end-to-end scanning takes only a few minutes which results in a higher amount of battery packs that can be tested and analyzed - to fit the workflow and high throughput of our partners.
Furthermore, the combination of our own patented hardware and proprietary software offers complete diagnosis; The output is an actionable report, in your hands, within minutes, advising you exactly how to proceed.
Battery Diagnostics
service
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INNER’s Battery Diagnostics (beta) service offered in collaboration with Fraunhofer EZRT enables our partners to inspect and validate the integrity of their battery packs (old or new) for any sign of physical deformation.
We use x-ray in dynamic imaging and perform scans of the packs in different configurations, and analyse any abnormalities in the images using our own algorithms and pattern recognition software. Any abnormalities will be flagged in our report - no need to interpret images - our software does that for you.
The result is an actionable report, with the specification of the fault, its size and precise location - enabling you to act upon it.
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This is the process of our diagnostics service:
You suspect a quality problem with your battery pack
Contact us and send us your battery packs
We perform our scans and analysis and write an actionable report for you
We provide our Battery Diagnostics Service in collaboration with Fraunhofer EZRT.
Just fill out your details in the form and we will be in contact with you as soon as possible!
Don't leave your battery reliability to chance - contact us today and take advantage of our beta testing services.
whether it is a new or a used pack
we can help you detect issues such as:
Torn wires
Swelling
Cracks
Leakage
And many more
Frequently asked questions (Faqs)
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INNER's non-invasive CT scanner reveals physical defects inside the pack such as cracks, leakages, swelling and many more that traditional electrical tests (e.g., EIS, State-of-Health or Charge) can’t detect. Our CT scanner and its automatic diagnostics report fills the "blind spot" in battery diagnostics by showing you the battery’s "State of Integrity" alongside SoH and SoC for comprehensive assessment.
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Indeed, gigafactories may scan battery cells, however in some cases the approach is sampling and not scanning every single battery cell. INNER’s solution inspects entire assembled battery packs, as a whole, without the need of disassembling the pack. This is critical in new batteries, for detecting issues that arise only after assembly - like welding or wiring issues. It is also critical over time in used batteries, such as cracks or swelling. These faults may be directly linked to safety, in addition to performance, hence the need to diagnose them as early as possible.
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Yes it is possible. INNER’s CT scanner is designed to create complete images of sealed EV battery packs without disassembly. It penetrates the metal casing and allows for detailed, non-destructive internal inspection.
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INNER’s CT system paired with the machine learning software, examines battery packs down to the cell level, regardless of the manufacturer, cell formation and chemistry. It supports a wide variety of battery types making it well-suited for diverse use cases, from automakers to recyclers and many more.
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Yes, our technology will also support future battery chemistries. Since it focuses on detecting physical integrity issues (cracks, swelling, torn wires and more), it is well-positioned to support future battery types like solid-state.
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Yes. Our scanner was designed to fit the workflow of our partners by delivering accurate diagnostics within minutes, and tailored to fit into commercial production environments without slowing assembly lines.
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Artificial Intelligence (AI) is the core of our technology; it powers the pattern recognition software that analyzes CT scans. It enables rapid, accurate identification of defects while automating diagnostics and generating actionable reports in minutes.
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No. INNER delivers visually intuitive, actionable reports so no manual X-ray interpretation is required. The machine-learning software handles analysis, and partners receive clear guidance on next steps without needing specialized X-Ray interpretation skills.
