This is the first CELLPROOF Report, covering the stretch from our founding in September to early October. In that time we haven't tested a single customer's car, and that's deliberate. One question had to be settled first: can the figures we measure be trusted?
This issue's headline answer comes from the meter of a US national laboratory.
The problem
The most direct way to find out what a battery still has in it is to see how much energy it takes in. That's exactly what DEEP does: over one night's AC charge, it adds up the energy flowing into the battery, moment by moment.
It sounds simple. The hard part is getting it right every time. If the arithmetic is even slightly off, every figure after it is off too, and nothing in the result would give it away.
So before touching our first customer's car, we needed a ruler everyone accepts, to measure our own ruler against.
How we checked
Argonne National Laboratory in the US has published complete data for a 2020 Model 3 on a test bench[1]: the car's own signals, recorded alongside a power analyser on the battery. Each charge is a long haul of 8 to 12 hours.
A power analyser measures the energy that actually flows into the battery, regardless of what the car estimates, which makes it the perfect answer key. We used only the car's signals, worked out the energy in with our own method, and compared it with the laboratory's readings. We checked 3 charges first; then, in the audit, we brought out 2 charges we had never used, to see whether the result held.
5 charges against the laboratory's meter
Each dot is one charge: how far the energy we calculated was above or below the laboratory's meter
Charge 1
Charge 2
Charge 3
Charge 4Added in the audit
Charge 5Added in the audit
±0.5% range
The result
On the 5 AC charges that meet DEEP's measurement conditions, the difference ranged from −0.24% to +0.48%; not once did it leave ±0.5%[1]. Four full charges of the same car agree with each other within ±0.2%[1]. Put another way: test the same car twice and the figure doesn't jump around.
LFP batteries behave a little differently from nickel-based ones, so we also turned to an LFP Model 3 published by the Technical University of Munich[2]. The car had an ultra-slow charge when new and another after about 26,000 km, each taking nearly 57 hours. Our method's battery capacity came within 0.1% of the paper's figure both times[2].
What it means if you're buying
Put simply, the ruler we measure energy with is straight. The DEEP results you'll see start from a calculation that agrees with a laboratory meter.
To be clear, though: this validates the method, on public laboratory and research data from abroad, not on cars in Taiwan. How the certificate's battery health figure is worked out, and its error range, will be published once validation on cars in Taiwan is done.
Other progress
Beyond the headline, here's what else happened in this period. Every piece of it serves the same goal: figures that stand up to questions.
Write the criteria first, then look for our own mistakes
The real danger in validation is fooling yourself, so this audit followed the researchers' rule: what counts as a pass was written down and saved before any new data was fetched. The exam was 27 drives of real cars we had never read, and every decoding rule held. In other words, the way we read a car doesn't only work on data we already know.
Testing the tests
Having lots of tests doesn't mean they catch mistakes, so we broke the software on purpose to see whether the tests noticed, and added new tests wherever they didn't. The database that holds certificates gets the same treatment: before every update it is rebuilt from scratch on our own machine and checked rule by rule, and only goes live when everything passes. You'll never see this work, but every figure on a certificate has to get through it.
2026 firmware included in our validation
Cars update their firmware over the air, and the format of their battery signals can quietly change with it. If our reading doesn't keep up, the worst case is reading wrongly and getting something that still looks plausible. We checked public recordings of real cars on 2026 firmware item by item, and what needed changing is live. When a format is new to us, the system refuses to read it: better to leave that item blank than to print a figure we aren't sure of.
Firmware we have checked on recordings of real cars
2021
Older format
2025
Format updated
2026.14
2026.20
2026.26
When a format is new to us
- Spot the new format
- Refuse to read it, no guessing
- Confirm the reading
- Go live
Receive only, never send
People often ask: could it touch my car? Our answer is a number: while recording, the signals we send to the car number zero. The logging equipment only listens and never transmits, not even an acknowledgement, and the recording software won't start until it has confirmed receive-only mode. Our test equipment has arrived and is being set up.
Signals travel one way only
Signals sent back to the car: 0It sends nothing, not even an acknowledgement.
From the website to cloud analysis
A certificate is only useful if others can check it for themselves. In September the website went live with our two tests, SWIFT and DEEP, and certificates became verifiable online by number or VIN. Once a test is uploaded, the analysis runs by itself in a data centre in Taiwan, then goes to a person for review, and only then is a certificate issued; with the demo car, analysis finished about 1 minute after upload.
One test, from upload to certificate
- 1
Upload
The recording from the test
- 2
Analysis
In a data centre in Taiwan
- 3
Review
A person checks it first
- 4
Certificate
Tied to the VIN
- 5
Verify online
Anyone can check it
This issue in numbers
Issue 01 in four numbers
They validate our measurement and decoding method, on public laboratory, research and real-car data
±0.5%
Our measurement method against a US national laboratory's meter
20+
Real cars' data used in validation
2026
Firmware included in our validation
800+
Automated tests
What's next
Next, we take this ruler onto Taiwan's roads.
- 01Coming up
Our first test on a car in Taiwan
Recording on a car in Taiwan with our own equipment, and checking each reading against what the car's screen shows.
- 02Coming up
The battery health calculation, finalised
Setting how the certificate's battery health figure is worked out, from DEEP tests on cars in Taiwan, and publishing its error range.
Sources
- Argonne National Laboratory, Downloadable Dynamometer Database (D3): 2020 Tesla Model 3. "This data is from the Downloadable Dynamometer Database and was generated at the Advanced Mobility Technology Laboratory (AMTL) at Argonne National Laboratory under the funding and guidance of the U.S. Department of Energy (DOE)." The figures in this report are CELLPROOF's own calculations from this data.
- Technical University of Munich: Rosenberger et al., "Quantifying the State of the Art of Electric Powertrains in Battery Electric Vehicles: Comprehensive Analysis of the Tesla Model 3 on the Vehicle Level", World Electric Vehicle Journal 15(6):268, 2024; dataset: mediaTUM, doi:10.14459/2024mp1735494. Licence: CC BY 4.0. The figures in this report are CELLPROOF's own calculations from this data.
Tesla, Supercharger and Tesla model names are trademarks of Tesla, Inc. CELLPROOF is not affiliated with Tesla.



