journal article·2025-02-08Open access

Multicriteria Methodology for Evaluating Energy Management Strategies in Heavy-Duty Fuel Cell Electric Vehicles via Vehicular Models

Jaime Rodriguez Arribas, Jorge Nájera, Enrique Alcalá, Gabriele Segale, Jaime Álvarez

Applied Sciences· Volume 15· Issue 4

Abstract

In this paper, a methodology for selecting the Energy Management Strategy (EMS) that best suits a heavy-duty Fuel Cell Electric Vehicle (FCEV) operating under specific conditions along a given driving cycle is proposed. Using a simulation model that incorporates the powertrain architecture and components of a specific FCEV—validated through a more detailed model operating at the power converter switching level—the performance of the entire system can be tested under different EMSs. The multicriteria evaluation system developed in this study enables the calculation of hydrogen and energy consumption, as well as the aging of the battery and fuel cell associated with each EMS. The proposed methodology serves as an evaluation tool for both the dimensioning of powertrain components and the selection of the EMS that best meets the operational requirements of a given FCEV. Results demonstrate that applying this methodology to a use case tailored for commercial devices and a standard driving cycle enables the identification of the most suitable EMS, minimizing hydrogen and energy consumption while reducing battery and fuel cell aging.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Electric and Hybrid Vehicle Technologies · Electric Vehicles and Infrastructure · Vehicle emissions and performance

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

ETSI Industriales, Universidad Politécnica de Madrid, C/José Gutiérrez Abascal 2, 28006 Madrid, Spain

Unidad de Accionamientos Eléctricos, CIEMAT, Av. Complutense 40, 28040 Madrid, Spain

INSIA, Universidad Politécnica de Madrid, Carretera de Valencia, Autovía del Este km.7, 28031 Madrid, Spain

Funding

MICIU/AEI/ 10.13039/501100011033

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