A digital platform for total cost of ownership assessment of sustainable mobility options

Abstract The transition to sustainable mobility requires decision-support tools that move beyond purchase price comparisons and capture the full total cost of ownership (TCO) of competing vehicle technologies. This paper presents a digital platform for comparing internal combustion engine vehicles (ICEVs), plug-in hybrid electric vehicles (PHEVs), and battery electric vehicles (BEVs) under user specific mobility profiles and Portuguese charging conditions. The platform combines vehicle attributes, annual mileage, tariff-aware charging allocation, maintenance coefficients, depreciation, taxes, incentives, and charging infrastructure costs in a modular eight-year TCO formulation. Two representative case studies show that BEVs achieve the lowest TCO, with values of approximately 24,950€ and 27,800€, corresponding to savings of about 12–13% relative to PHEVs and 20–26% relative to ICEVs. A structured validation strategy based on observed tariff benchmarks, implementation cases, public market consistency checks, and deterministic stress tests was used to examine model credibility. One-way sensitivity analysis shows that purchase price, depreciation, annual mileage, fuel price, electricity price, and the share of public charging are the main economic drivers. The study contributes to a transparent engineering oriented platform architecture, a tariff-aware decision engine, and a scalable scenario evaluation framework that can support future integration of environmental indicators, predictive maintenance, and secure charging network interoperability.

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Publication Details

Journal
Journal of Engineering and Applied Science
Published
2026-07-24
DOI
https://doi.org/10.1186/s44147-026-01144-x
Primary Topic
Electric Vehicles and Infrastructure
Type
article
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article

A digital platform for total cost of ownership assessment of sustainable mobility options

Vasco Santos, Eduardo Gouveia
Journal of Engineering and Applied Science
Electric Vehicles and Infrastructure
article

A digital platform for total cost of ownership assessment of sustainable mobility options

Vasco Santos, Eduardo Gouveia
article en

Abstract

Abstract The transition to sustainable mobility requires decision-support tools that move beyond purchase price comparisons and capture the full total cost of ownership (TCO) of competing vehicle technologies. This paper presents a digital platform for comparing internal combustion engine vehicles (ICEVs), plug-in hybrid electric vehicles (PHEVs), and battery electric vehicles (BEVs) under user specific mobility profiles and Portuguese charging conditions. The platform combines vehicle attributes, annual mileage, tariff-aware charging allocation, maintenance coefficients, depreciation, taxes, incentives, and charging infrastructure costs in a modular eight-year TCO formulation. Two representative case studies show that BEVs achieve the lowest TCO, with values of approximately 24,950€ and 27,800€, corresponding to savings of about 12–13% relative to PHEVs and 20–26% relative to ICEVs. A structured validation strategy based on observed tariff benchmarks, implementation cases, public market consistency checks, and deterministic stress tests was used to examine model credibility. One-way sensitivity analysis shows that purchase price, depreciation, annual mileage, fuel price, electricity price, and the share of public charging are the main economic drivers. The study contributes to a transparent engineering oriented platform architecture, a tariff-aware decision engine, and a scalable scenario evaluation framework that can support future integration of environmental indicators, predictive maintenance, and secure charging network interoperability.

Journal of Engineering and Applied ScienceVol. 73(1)
Polytechnic Institute of Viseu (PT)
Industry, innovation and infrastructure
Openalex Percentile: Top 15%
Electric Vehicles and Infrastructure
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A digital platform for total cost of ownership assessment of sustainable mobility options — Vasco Santos, Eduardo Gouveia · Journal of Engineering and Applied Science (2026) | TGRS Research Map | TGRS