the smart meter for EV & PV storage
A non-invasive diagnostic device clamps onto the power lines, measures what the pack actually does, and writes it to a community ledger keyed to the VIN. Trusted, standardised, independently verifiable battery health — at last.
A pack doesn't die when it leaves the car — at 75% health it has a decade left as home and grid storage, and the same record follows it into that second life.
The battery is 30–50% of an EV's value, yet at point of sale it is opaque. Buyers can't tell a healthy pack from a tired one, so they price for the average — and sellers of good batteries get no premium. Confidence erodes. The second-hand market stalls. The transition stalls with it.
Derived from EVPassport's synthetic Hampshire fleet · benchmarked to the 2.3%/yr industry degradation curve.
Three integrated layers turn a clamp-on measurement into market intelligence. No manufacturer BMS access. No vehicle disassembly. Vendor-agnostic by design.
A self-contained unit clamps the high-voltage lines: Hall-effect DC current to 600 A, isolated 1000 V differential voltage, programmable-gain AC, and three temperature probes — coolant in, coolant out, and outside air. Twenty minutes, ~£125 BOM, no proprietary interface.
Every test writes to a VIN-indexed community database. Longitudinal histories build degradation timelines. The population becomes its own calibration reference — device offsets cancel statistically.
Each pack's curve-and-thermal signature is matched against its population cohort. Output is a probabilistic remaining-life estimate, not a pass/fail — and systemic fleet defects surface automatically.
A battery at 75% state-of-health is finished as a car but has a decade left as stationary storage. The same clamp-on measurement and the same VIN-keyed record become the provenance a storage integrator, insurer or grid operator needs — the passport follows the pack from road to grid.
Each bubble is one battery pack across the whole fleet. Position shows the core relationship — cycles against state-of-health — while size and colour layer in the conditions that drive it. The tired packs aren't random: they collect in the high-cycle, high-DC-fast corner. Switch the encoding to see which condition is doing the work.
The model is the vehicle-history data market: a roadworthiness mandate creates the data flow; private infrastructure monetises the intelligence. The network effect is the moat — every test improves every other prediction.
Fleet operators and premium dealers build database density before any mandate.
MOT extension by statutory instrument. Battery test at annual inspection, queryable via DVLA.
Licensed to national testing authorities under the Battery Regulation track.
Device sales, per-test fees, buyer reports, insurer & lender APIs, fleet, OEM and regulator feeds.
A favourable reading can add thousands to a sale — so the incentive to forge one is real: run the test on a healthy car and upload it under a tired car's VIN, replay an old packet, or tamper with the device. The platform's entire value is that the record is believed. Integrity is the first design concern, not a bolt-on.
Each test is cryptographically signed by a certified device and timestamped at upload. Tampered or edited packets fail verification and never reach the ledger.
A packet is bound to the VIN, device and time. Re-using a healthy car's result under another VIN, or replaying an old packet, is detected and rejected.
The population is its own calibration reference. A device whose readings diverge from consensus on shared vehicles is auto-flagged for recalibration — no manual audit.
An outside-air probe lets every reading be corrected to a 25 °C reference (IEC 62660/61960). A cold pack looks degraded — normalisation tells true health from a winter chill.
Programmable-gain measurement keeps precision from a 3 kW domestic socket to a 350 kW ultra-rapid charger — one device for the entire infrastructure.
A 1000 V probe and 600 A clamp cover both 400 V and emerging 800 V architectures — a device sold today stays accurate for the cars of 2031.
VIN-level data is treated as personal data. Buyers see single-vehicle reports; insurers and lenders see anonymised models; regulators get systemic feeds — each under licence.
The conversational layer only explains figures the deterministic models computed — it never originates a health number. A hallucinated SoH in a financial decision is a liability, so the rule is hard.
Reports generate natively in eight launch languages — not template translations — so a buyer in Munich or Oslo reads findings as naturally as one in Manchester.
A government mandate creates the data flow; the intelligence layer monetises it. Each stakeholder consumes a different slice of the same VIN-indexed truth.
An independent battery certificate at the point of sale — the confidence that lets a good pack command its true price.
Battery condition is a live risk factor. A queryable risk model prices policies on the pack, not a guess.
Residual value is dominated by battery health. Asset-pricing models calibrated to real SoH de-risk finance.
Predictive maintenance and end-of-life scheduling across hundreds of packs, before failures strand vehicles.
Anonymised marque-level degradation curves for manufacturers; pack-suitability scoring for second-life and grid storage.
Modelled retained value as a function of state-of-health. The cliff below the 70% warranty floor is exactly the risk a finance house needs to price — and can't see today.
A functioning used market depends on battery confidence. Battery confidence depends on independent, standardised, verifiable measurement.
Slice the fleet by make, model and age. Every figure recomputes live across the matching packs.
Each point is a pack. As health falls, internal resistance rises and the cooling system works harder — Δ-T trends upward. The relationship is the early-warning signal.
The same packs, measured vs normalised. Apparent SoH (grey) falls in the cold and resistance climbs — a cold healthy pack mimics a degraded one. After the IEC 62660 correction, the normalised SoH (coloured) is flat with temperature: true health, comparable across seasons and climates.
Enter the registration of any car you're considering. You'll get its independent EVPassport battery certificate — the same record a dealer or finance house sees. No login required.
The statutory battery record — per-vehicle inspection for MOT technicians, and systemic intelligence for the authority.
Sign in with your registration plate to view your battery's health record.
Real-time EV density simulations, UWB-enabled proximity clustering, and county-level fleet analytics across England. Open any map below to explore fleet distribution and battery health geography.
25,000-vehicle live simulation across Oslo's real road geometry. OSM-derived network, UWB proximity clusters, seeded PRNG density — Norway's mature EV market in motion.
Open Oslo map →Southampton and Hampshire road network simulation. Same UWB architecture as Oslo, calibrated to the Hampshire fleet density underpinning the EVPassport ledger.
Open Southampton map →Fleet analytics across all 48 ceremonial counties. Hampshire, West Sussex and Dorset are live with 1,000 synthetic vehicles each — health-band breakdown, make distribution and degradation cohorts.
Open county map →