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Enhanced Power Allocation Strategy of Hybrid Energy Storage System for MEA

  • Shuhao Deng
  • , Renhao Chang
  • , Ming Huang
  • , Tao Lei
  • , Weilin Li
  • , Xiaobin Zhang
  • Northwestern Polytechnical University Xian
  • Ministry of Industry and Information Technology

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The aviation hybrid energy storage system (HESS) has emerged as one of the pivotal technologies driving the revolution in green aviation and low-carbon transportation technologies, owing to its superior energy density and rapid power response capability. However, the conventional control methods face difficulties in fully optimizing the compensation performance of energy storage systems while ensuring system stability. To address this challenge, this article proposes an improved adaptive control method. By integrating a voltage outer-loop adaptive algorithm with the second-order frequency division technology, the proposed approach effectively suppresses dc bus voltage fluctuations and achieves notable capacity savings in HESS under identical compensation conditions. Bode diagram analysis demonstrates that the improved adaptive algorithm exhibits higher phase margins compared with the conventional control methods, thereby significantly enhancing system stability. Furthermore, based on the simulation results, this study establishes a control-in-the-loop experimental validation platform. The experimental results confirm that the proposed control method delivers substantial improvements in both HESS capacity configuration and system stability, verifying its effectiveness in practical applications.

Original languageEnglish
Pages (from-to)2321-2335
Number of pages15
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume62
DOIs
StatePublished - 2026

Keywords

  • Adaptive control
  • hybrid electric storage system
  • more electric aircraft (MEA)
  • stability analysis

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