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author:

Hu, Haowen (Hu, Haowen.) [1] | Ou, Kai (Ou, Kai.) [2] | Yuan, Wei-Wei (Yuan, Wei-Wei.) [3]

Indexed by:

EI

Abstract:

Regulating the air supply is crucial for high efficiency and reliable operation of proton exchange membrane fuel cell systems (PEMFCs). In this study, a fused multi-model predictive control (FM-MPC) with an adaptive compensation is proposed for the oxygen excess ratio (OER) regulation of the air supply system. The FM-MPC is designed based on the linearized PEMFC model at low and high power phases, with two linear MPCs implemented and combined using adaptive featured weights. An adaptive compensation strategy is created to address the imbalance of the two MPCs and external load disturbances. The stability of the proposed control is analyzed using Lyapunov's second law. Simulation results demonstrate that the proposed method exhibits less overshoot and faster response than conventional MPCs, with the OER total sum-of-squares error (TSSE) reduced by 59.4% and 87.7% for New European Driving Cycle (NEDC) and Urban Dynamometer Driving Schedule (UDDS) conditions, respectively. Finally, a Hardware-In-the-Loop (HIL) experiment verifies the real-time application potential of the proposed controller, with a mean relative error (MRE) of 1.12% between experiment and simulation. © 2023 Elsevier Ltd

Keyword:

Adaptive control systems Dynamometers Electric loads Fuel systems Model predictive control Oxygen supply Predictive control systems Proton exchange membrane fuel cells (PEMFC)

Community:

  • [ 1 ] [Hu, Haowen]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Ou, Kai]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Yuan, Wei-Wei]Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou; 350108, China

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Source :

Energy

ISSN: 0360-5442

Year: 2023

Volume: 284

9 . 0

JCR@2023

9 . 0 0 0

JCR@2023

ESI HC Threshold:35

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 8

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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