Observer-based Model Predictive Control Design for Air Supply System of Automotive PEM Fuel Cells

Jiang, Weihai; Zhu, Zhaowu; Li, Cheng; Zhang, Cheng; Zheng, Zichen

doi:10.23919/ccc50068.2020.9188663

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…In [12], based on a reduced third-order nonlinear model, a disturbance extended state observer was designed to estimate the cathode pressure parameters, thus the real-time estimate of OER was realized. Jiang et al [13] proposed an observer-based model predictive control scheme for the control of the OER; the sliding mode PI observer was used to estimate the cathode pressure and the OER. In [14], an improved high-order sliding mode observer was developed to estimate OER and showed fast convergence and good robustness despite parametric uncertainties and noisy measurements; then, several observer-based OER closed-loop controllers were presented, among which the proposed two-stage sliding mode fuzzy feedforward method exhibited the highest control precision and fastest response with the smallest overshoot or undershoot during transient response.…”

Section: Introductionmentioning

confidence: 99%

Control of Oxygen Excess Ratio for a PEMFC Air Supply System by Intelligent PID Methods

Yin

Chen

2023

Sustainability

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The hydrogen fuel cell is a quite promising green device, which could be applied in extensive fields. However, as a complex nonlinear system involving a number of subsystems, the fuel cell system requires multiple variables to be effectively controlled. Oxygen excess ratio (OER) is the key indicator to be controlled to avoid oxygen starvation, which may result in severe performance degradation and life shortage of the fuel cell stack. In this paper, a nonlinear air supply system model integrated with the fuel cell stack voltage model is first built, based on physical laws and empirical data; then, conventional proportional-integral-derivative (PID) controls for the oxygen excess ratio are implemented. On this basis, fuzzy logic inference and neural network algorithm are integrated into the conventional PID controller to tune the gain coefficients, respectively. The simulation results verify that the fuzzy PID controller with seven subsets could clearly improve the dynamic responses of the fuel cells in both constant and variable OER controls, with small overshoots and the fastest settling times of less than 0.2 s.

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Section: Introductionmentioning

confidence: 99%

Control of Oxygen Excess Ratio for a PEMFC Air Supply System by Intelligent PID Methods

Yin

Chen

2023

Sustainability

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PEMFC Gas-Feeding Control: Critical Insights and Review

Fang,

Feng,

Fan

et al. 2024

Actuators

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Proton exchange membrane fuel cells (PEMFCs) are currently a relatively mature type of hydrogen energy device due to their high efficiency and low noise compared to traditional power devices. However, there are still challenges that hinder the large-scale application of PEMFCs. One key challenge lies in the gas supply system, which is a complex, coupled nonlinear system. Therefore, an effective control strategy is essential for the efficient and stable operation of the gas control system. This paper aims to provide a comprehensive and systematic overview of the control strategies for PEMFC anode and cathode supply systems based on an analysis of 182 papers. The review covers modern control theories and optimization algorithms, including their design, objectives, performance, applications, and so on. Additionally, the advantages and disadvantages of these control methods are thoroughly evaluated and summarized.

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Observer-based Model Predictive Control Design for Air Supply System of Automotive PEM Fuel Cells

Cited by 2 publications

References 13 publications

Control of Oxygen Excess Ratio for a PEMFC Air Supply System by Intelligent PID Methods

Control of Oxygen Excess Ratio for a PEMFC Air Supply System by Intelligent PID Methods

PEMFC Gas-Feeding Control: Critical Insights and Review

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