Optimization algorithm applied to extended range fuel cell hybrid vehicles. Contribution to road transport decarbonization

Oriana Perez-Dávila and Roberto Álvarez Fernández

Energy, 2023, vol. 267, issue C

Abstract: Progressive decarbonization of road transport is underway to reduce greenhouse gas (GHG) emissions and their harmful effects. Although different options have already been considered, hydrogen-electric hybridization seems to be an interesting option to reduce emissions by offering vehicles with sufficient range and competitive performance compared to fossil fuel vehicles. The development of energy management systems (EMS) that achieve efficient use of energy is crucial to extend the vehicles range. In this paper we propose two energy management systems applied to two hydrogen hybrid vehicles: a Plug-in Hybrid Electric Vehicle (PHEV) and a Range-Extended Fuel Cell Hybrid Vehicle (FC-EREV). The proposed EMSs are based on single and multi-level approaches, that consider the amount of hydrogen in the tank to implement a rule-based strategy (RBS) that distributes the current demanded by the motor between the fuel cell and the battery. The EMS parameters for both approaches were selected using a particle swarm optimization (PSO) algorithm in order to find the optimized set of values for both EMS. The proposals have been tested for different driving cycles, showing improvements up to 9% and 12% in range, for the single and multi-level approaches, respectively, when compared to previous works.

Keywords: Hydrogen; Fuel cell; Power management; Hybrid vehicle; Optimization algorithm; Range (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544222034053
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:267:y:2023:i:c:s0360544222034053

DOI: 10.1016/j.energy.2022.126519

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().