Validation examples: what the comparisons show

A completed calculation is necessary but is not enough to establish that the vehicle represents reality. This page separates comparisons with reported energy use, checks of the calculation, and changes caused by the background database. See Understanding inputs and results for units and Passenger-car calibration and validation for detailed checks.

The figures reproduce saved audits from October 2026. This documentation review replotted their recorded numbers; it did not rerun every model or fit new parameters. Sources and software revisions belong to each audit, so these figures should not be described as measurements of the latest software release.

How to make a fair energy comparison

Match the vehicle and year, the second-by-second speed and road gradient, test mass, resistance coefficients, temperature, auxiliary loads, and fuel or battery properties. State where energy was measured. Charging electricity includes losses that a battery-terminal measurement excludes. If a test mass is reconstructed from curb mass and a documented payload, label it as reconstructed rather than weighed.

The 9 October family evidence review retained 41 paired observations from 40 runs and excluded 77 other observations with recorded reasons. All 41 pairs remain screening comparisons under that review’s strict matching rules. This is not a count of independently validated vehicles, and the earlier use of two bus cycles to fit an auxiliary load does not change that classification. Multiple cycles or meter locations on one vehicle share evidence.

Electric cars: a cycle mismatch matters

Paired bars of reported ADAC charging electricity and 2025 car model outputs on WLTC

Reported ADAC Ecotest charging electricity versus the model on WLTC, in kWh/100 km. The speed cycles differ. Where mass was missing, a documented 200 kg test payload was added to reported curb mass; see the saved observation records for each case. Road load, auxiliaries and some vehicle years remain unmatched. Values.

For example, the WLTC calculation gives 13.28 kWh/100 km for the Dacia Spring comparison, against 16.70 reported by ADAC. That difference alone cannot identify a battery or motor efficiency error because the tests use different cycles.

Mini electric-car consumption under WLTC and approximate ADAC traces, compared with reported values

A separate experiment reconstructed the ADAC speed profile from a published graph and held the vehicle parameters fixed. These are approximate traces, not official numerical ADAC test files. The source graph has about 2.1 seconds per horizontal pixel, and sharp accelerations can exceed the generic motor rating. A smoother probe also changes the route and is not an equivalent test.

For the Spring, the graph-derived trace gives about 14.70 kWh/100 km, compared with 13.28 on WLTC and 16.70 reported. For the Fiat 500 RED, the corresponding values are 15.59, 14.19 and 15.90. The experiment shows sensitivity to the cycle; it does not establish an exact reproduction of Ecotest or justify fitting a component efficiency to the remaining difference.

See the ADAC reconstruction guide for the four vehicles, 24 runs, reconstruction files and sources.

Petrol, diesel and hybrid cars

Reported and modelled liquid-fuel consumption for six car comparisons

Liquid-fuel comparisons from the same saved review, in L/100 km. ADAC Ecotest and the model’s WLTC remain different. The Prius plug-in hybrid point is its depleted-battery mode, not a combined fuel-and-electricity result. Values.

The Golf comparison gives 6.79 versus 5.60 L/100 km; the Corolla gives 5.00 versus 5.00. Neither a large difference nor close agreement isolates the engine map from road load, cycle, auxiliary demand or hybrid control. The lower-medium petrol diagnostics therefore examine physically justified inputs and optional combustion controls rather than forcing a fixed error target; see the petrol-car diagnostic guide.

Change in life cycle climate scores

The next chart compares two calculations, not model outputs with measured emissions. Both use the same 2025 vehicle inputs and national electricity-supply settings in Switzerland. Only the bundled background inventory/index and impact coefficients were changed. The updated bundle was rebuilt with premise and ecoinvent 3.12 cutoff. The previous bundle is identified by Git revision aeace0e53937870fa05ec8aeba392e41d75aaa0b; it should not be described as a clean older-ecoinvent baseline because it already contained some newer coefficients.

The displayed scenario is SSP2-NPi. Results are grams CO2-equivalent per vehicle-km, using IPCC 2021 GWP100 excluding biogenic CO2 within the recipe midpoint collection. Vehicle masses and consumption were unchanged: all 138 recorded physical outputs matched exactly. The full audit covers 96 combinations of eight vehicles, three years and four background scenarios.

Previous and updated background climate scores for 2025 car vehicles

Model-to-model background comparison, not measured validation. Values.

Traceable results

Download the plotted values and source checksums and source manifest. The JSON stores observation IDs and, where recorded in the comparison table, original source URLs. Sources for the reused diagnostic figures are listed in their linked method pages.

The shared background-rebuild guide contains the complete climate CSV, software revisions, rebuild report and comparison command. The energy evidence guide provides the original measurement catalog, exclusions and run records. These are reproducibility records, not new evidence of external accuracy.

To redraw the new bar charts from saved results, run from carculator_utils with Matplotlib installed:

python scripts/plot_documentation_validation.py --output /tmp/validation-plots

The plotting script does not recalculate vehicles. Reproducing a model audit requires the matching source revisions and inputs recorded in that audit.