Hierarchical power management of hydrogen fuel cell hybrid UAM system: Thermal performance analysis and case study

This study proposes a hierarchical power management system (PMS) for a hydrogen fuel cell-battery-supercapacitor hybrid Urban Air Mobility (UAM) system, considering both thermal behavior and energy management under dynamic flight conditions. Due to the distinct dynamic and energy characteristics of each power source, effective coordination is required to handle rapid load fluctuations while maintaining thermal stability and efficiency. The supercapacitor compensates for high-frequency power variations, while the fuel cell and battery supply steady-state power using three control strategies: Rule-based Control (RBC), State Machine Control (SMC), and Fuzzy Logic Control (FLC). System performance is evaluated using a multi-criteria decision-making (MCDM) method based on hydrogen consumption, battery state of charge (SoC), thermal response, parasitic energy consumption and lifetime. The results demonstrate that FLC achieves the best overall performance by reducing temperature fluctuations and improving energy efficiency under dynamic conditions. SMC provides advantages in hydrogen consumption, whereas RBC exhibits the lowest overall performance due to limited adaptability. These findings indicate that the proposed hierarchical PMS effectively coordinates multiple energy sources while simultaneously improving thermal stability and energy efficiency, demonstrating its suitability for dynamic UAM operating conditions.

Authors

Institutions

Publication Details

Journal
Case Studies in Thermal Engineering
Published
2026-04-10
DOI
https://doi.org/10.1016/j.csite.2026.108046
Primary Topic
Fuel Cells and Related Materials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hierarchical power management of hydrogen fuel cell hybrid UAM system: Thermal performance analysis and case study

Sanghyun Yun
Case Studies in Thermal Engineering
Fuel Cells and Related Materials
article

Hierarchical power management of hydrogen fuel cell hybrid UAM system: Thermal performance analysis and case study

Sanghyun Yun
article en

Abstract

This study proposes a hierarchical power management system (PMS) for a hydrogen fuel cell-battery-supercapacitor hybrid Urban Air Mobility (UAM) system, considering both thermal behavior and energy management under dynamic flight conditions. Due to the distinct dynamic and energy characteristics of each power source, effective coordination is required to handle rapid load fluctuations while maintaining thermal stability and efficiency. The supercapacitor compensates for high-frequency power variations, while the fuel cell and battery supply steady-state power using three control strategies: Rule-based Control (RBC), State Machine Control (SMC), and Fuzzy Logic Control (FLC). System performance is evaluated using a multi-criteria decision-making (MCDM) method based on hydrogen consumption, battery state of charge (SoC), thermal response, parasitic energy consumption and lifetime. The results demonstrate that FLC achieves the best overall performance by reducing temperature fluctuations and improving energy efficiency under dynamic conditions. SMC provides advantages in hydrogen consumption, whereas RBC exhibits the lowest overall performance due to limited adaptability. These findings indicate that the proposed hierarchical PMS effectively coordinates multiple energy sources while simultaneously improving thermal stability and energy efficiency, demonstrating its suitability for dynamic UAM operating conditions.

Case Studies in Thermal EngineeringVol. 82
Kongju National University (KR)
Ministry of Trade, Industry and Energy, Korea Institute of Energy Technology Evaluation and Planning
Affordable and clean energy
Openalex Percentile: Top 19%
Fuel Cells and Related Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.