Skip to main navigation Skip to search Skip to main content

An Integrated Multimodal Energy Management Strategy for Hydrogen-Lithium Hybrid eVTOLs

  • Ruiqing Luo
  • , Xiaolong He
  • , Yi Dong
  • , Zezhi Tang
  • , Zhen Dong*
  • *Corresponding author for this work
  • Beijing Institute of Technology
  • School of Electrical Engineering and Automation, Harbin Institute of Technology
  • University of Liverpool
  • University College London

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

For the limited endurance issue of pure batterypowered electric vertical takeoff and landing (eVTOL) aircraft, a hybrid power system combining hydrogen fuel cells and lithium batteries represents a highly promising solution. However, its multi-energy-flow coupling characteristics pose significant challenges for efficient energy management. This study proposes a coordinated optimization framework for flight profiles and energy management tailored to hydrogen-lithium hybrid-powered composite-wing eVTOLs. After establishing a power demand model covering multimodal flight tasks-including VTOL, fixedwing cruise, and mode transitions-we utilize the Pontryagin minimization principle to compute offline the globally optimal reference trajectory for battery state of charge (SOC) based on flight profile information. Building upon this, we design an adaptive model predictive control (MPC) online tracking algorithm to achieve real-time optimal power allocation within the flight envelope. High-fidelity simulation validation demonstrates that compared to traditional rule-based strategies, this approach reduces average fuel cell power consumption/direct hydrogen consumption by 5.31 % while enabling smooth tracking of battery SOC. This effectively enhances system energy efficiency, providing a reference for improving energy efficiency and extending the service life of hybrid eVTOLs.

Original languageEnglish
Title of host publication2026 12th International Conference on Electrical Engineering, Control and Robotics, EECR 2026
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages116-121
Number of pages6
ISBN (Electronic)9798319529329
DOIs
StatePublished - 2026
Externally publishedYes
Event12th International Conference on Electrical Engineering, Control and Robotics, EECR 2026 - Suzhou, China
Duration: 6 Apr 20268 Apr 2026

Publication series

Name2026 12th International Conference on Electrical Engineering, Control and Robotics, EECR 2026

Conference

Conference12th International Conference on Electrical Engineering, Control and Robotics, EECR 2026
Country/TerritoryChina
CitySuzhou
Period6/04/268/04/26

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • cooperative optimization
  • energy management strategy
  • hybrid eVTOL
  • hydrogen fuel cell
  • model predictive control
  • multimodal flight

Fingerprint

Dive into the research topics of 'An Integrated Multimodal Energy Management Strategy for Hydrogen-Lithium Hybrid eVTOLs'. Together they form a unique fingerprint.

Cite this