UK EV Battery Health Index
The first public, model-by-model index of predicted battery state-of-health for every electric car, van and truck on UK sale. Built on peer-reviewed cycle-aging research (Geotab fleet telemetry, Recurrent Auto, Smith et al. NMC/LFP models). No uploads required.
- BYD Atto 395.4%
- BYD Dolphin95.4%
- BYD Seal95.3%
- BYD Sealion 795.3%
- Tesla Model 3 RWD95.2%
- Nissan Leaf e+89.9%
- Lotus Eletre91.5%
- Lotus Emeya91.5%
- Xpeng G691.5%
- Genesis Electrified G8091.6%
Values cluster by chemistry (LFP / NMC / NCA) because that's the dominant variable. Tap a model for the full age curve, or rotate to landscape for the comparison table.
How this Index is built
Every number on this page is a predicted state-of-health, not a physical measurement. We don't have a feed of every car's pack — nobody in the UK does. What we have is a peer-reviewed methodology calibrated against the two largest published EV-degradation datasets, and the discipline to be honest when we're estimating versus measuring.
- Calendar ageing: ~2.3%/yr first 24 months, then ~1.4%/yr — calibrated to the Geotab "Fleet EV Battery Degradation" 6,300-vehicle dataset (2023).
- Cyclic ageing: ~0.012% per equivalent full cycle, multiplied by fast-charge stress, derived from Smith et al. NMC and LFP cycle models.
- Chemistry adjustment: LFP packs ageing 30% slower on calendar and 45% slower on cycles. NCA 10% faster on calendar.
- Annual mileage: 8,500 mi (UK Department for Transport NTS 2024 average). DC-rapid share assumed 40% retail / 70% fleet.
- Calibrated against: Recurrent Auto State of Used EV Batteries 2024 (15,000-vehicle dataset). Target accuracy ~2–3pp — independent RangeCheck-specific validation in progress, see Methodology & validation.