Hybrid Energy Systems Optimization in Electrified Transportation: A Comprehensive Study

The integration of multiple energy sources has emerged as a major technique for addressing the complicated challenges of enhancing reliability and range in electrified transportation. In this paper, a modified brute-force approachbased multi-objective optimization of hybrid energy sources (HESs) in electrified transportation is described. The modified brute force optimization method involves providing a thorough search and evaluation of all feasible solutions within a given solution space, considering the priority of desired characteristics. The top source combination options for two key applications, including land and air transportation systems, are obtained, and discussed. This research also resulted in the development of a webbased platform for hybrid energy system application research and optimization (HESARO). The initial version is capable of performing thorough optimal HES selection of a two-source combination for air and land electrified transportation.

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Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10905951
Citations
1
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.21
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article

Hybrid Energy Systems Optimization in Electrified Transportation: A Comprehensive Study

Ayman El‐Refaie, Pouya Zolfi, Mehdi Maadooliat, Mobina Pourmoshir
1 citations
Electric Vehicles and Infrastructure
0.21
article

Hybrid Energy Systems Optimization in Electrified Transportation: A Comprehensive Study

Ayman El‐Refaie, Pouya Zolfi, Mehdi Maadooliat, Mobina Pourmoshir
article en
1 citations

Abstract

The integration of multiple energy sources has emerged as a major technique for addressing the complicated challenges of enhancing reliability and range in electrified transportation. In this paper, a modified brute-force approachbased multi-objective optimization of hybrid energy sources (HESs) in electrified transportation is described. The modified brute force optimization method involves providing a thorough search and evaluation of all feasible solutions within a given solution space, considering the priority of desired characteristics. The top source combination options for two key applications, including land and air transportation systems, are obtained, and discussed. This research also resulted in the development of a webbased platform for hybrid energy system application research and optimization (HESARO). The initial version is capable of performing thorough optimal HES selection of a two-source combination for air and land electrified transportation.

Marquette University (US)
Affordable and clean energy
Openalex Percentile: Top 43%
Electric Vehicles and Infrastructure
0.21
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