ViDrive — Methodology
Methodology
How ViDrive calculates Total Cost of Ownership.
Key Assumptions
Overview
ViDrive calculates the true cost of owning a vehicle in Vietnam, including purchase price, depreciation, fuel, maintenance, insurance, registration, road tax, and loan interest.
Fuel and energy consumption figures reflect owner-reported real-world medians (L/100km for petrol/diesel, kWh/100km for EVs), aggregated from Vietnamese forums, owner groups, and dealer reports. Where owner data is unavailable, manufacturer combined-cycle figures are used as a fallback. All values are rounded to two decimals. New-car prices are sourced from official manufacturer websites (all brands, not only VinFast); resale values are inferred from bonbanh.com.vn and oto.com.vn market listings.
https://vama.org.vn/Fuel Prices
Fuel costs are calculated using real-time prices from official Vietnamese fuel pricing APIs, adjusted for city-specific rates and annual driving distance.
https://www.petrolimex.com.vn/Registration
Registration costs include the registration tax, license plate fees, and inspection fees based on vehicle type and local government rates.
https://vanban.chinhphu.vn/?docid=205090&pageid=27160Plate fees follow Thông tư 155/2025/TT-BTC (eff. 2026-01-01): Hanoi and HCMC (Khu vực I) pay 14,000,000 VND; all other provinces (Khu vực II/III) pay 140,000 VND. The 2025–2026 administrative merger folded Bà Rịa–Vũng Tàu and Bình Dương into TP.HCM, so both fall under the 14M metro rate.
On-Road Fees
- Registration Tax
- License Plate Fee
- Inspection Fee
- Road Fee (Year 1)
- Civil Insurance (Year 1)
- On-Road Price (giá lăn bánh)
Maintenance
Estimated from manufacturer service intervals, parts pricing, and labor costs specific to each model and region.
Insurance
Based on mandatory civil liability insurance and optional comprehensive coverage quotes from major Vietnamese insurers.
https://hethongphapluat.com/thong-tu-04-2021-tt-btc-huong-dan-nghi-dinh-03-2021-nd-cp-ve-bao-hiem-bat-buoc-trach-nhiem-dan-su-cua-chu-xe-co-gioi-do-bo-tai-chinh-ban-hanh.htmlDepreciation*
Predicted using machine learning models trained on historical resale data, accounting for brand, model, mileage, and market trends.
https://bonbanh.com.vnRoad Tax
Annual road tax is calculated based on vehicle type, engine displacement, and local municipality rates.
https://vanban.chinhphu.vn/?docid=205090&pageid=27160Loan Costs
If financing, we calculate total interest paid over the loan term using current bank interest rates and your down payment.
Disclaimer
All estimates are based on publicly available data and models. Actual costs may vary. This is not financial advice.
Vietnamese retail fuel prices reset every 15 days via the joint Ministry of Industry & Trade / Ministry of Finance adjustment. The figures above reflect the most recent adjustment.
VinFast residual floored at 70% of MSRP for the first 36 months. Real Vietnamese used-EV market retention averages 60-70% at 3 years (bonbanh.com.vn 2026), so the parametric curve is structurally supported by the 70% buyback guarantee.
The 95% confidence band combines uncertainty from registration tax, running costs (fuel, maintenance, insurance, parking/tolls), and the resale model in-distribution prediction std. It is calibrated in-distribution; leave-one-car-out (LOCO) validation reports a ~17% mean generalization gap, so real outcomes may exceed the band. For VinFast, two numbers are disclosed: the open-market resale estimate (headline, used for TCO) and the manufacturer buy-back floor (raw scheduled value, always shown). The floor is a guaranteed minimum, not a resale forecast.
German luxury models (Audi A4/A6, BMW 3/5 Series, Mercedes C/E/GLC, VW Touareg) were added from live Vietnamese used-car listings. Very few of these trade at 1-5 years old in Vietnam - an A4, for example, is usually only listed used at 6-12 years. So some of these cars have no early-year market records to calibrate against; their young-year resale is anchored and interpolated from adjacent real data. The widest per-car error (A4 about 23% on one sparse year) reflects that single-record gap, not a modelling regression. Across the full catalogue, mean resale error stays under 4% - so for these models early-year resale carries more uncertainty.
