Control‐oriented estimation of the exchange current density in
            <scp>PEM</scp>
            fuel cells via stochastic filtering

Aguilar, José Agustín; Andrade‐Cetto, Juan; Husar, Attila

doi:10.1002/er.8555

Cited by 9 publications

(2 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The statistical analysis results of the DMFC parameter estimation using the Friedman ranking test [26][27][28][29][30][31] are presented in Table 7. Based on the Friedman ranking, the performance of six different algorithms was evaluated to estimate the parameters of the DMFC.…”

Section: Non-parametric Testmentioning

confidence: 99%

Sustainable Development of a Direct Methanol Fuel Cell Using the Enhanced LSHADE Algorithm and Newton Raphson Method

Singla,

Gupta,

Alsharif

et al. 2023

Sustainability

View full text Add to dashboard Cite

This paper presents a mathematical model for stacks of direct methanol fuel cells (DMFCs) using an optimised method. In order to reduce the sum of squared errors (SSE) in calculating the polarisation profile, the suggested technique makes use of simulated experimental data. Given that DMFC is one of the viable fuel cell choices, developing an appropriate model is essential for cost reduction. However, resolving this issue has proven difficult due to its complex and highly nonlinear character, particularly when adjusting the DMFC model to various operating temperatures. By combining the algorithm and the objective function, the current work introduces a novel method called LSHADE (ELSHADE) for determining the parameters of the DMFC model. This technique seeks to accurately identify DMFCs’ characteristics. The ELSHADE method consists of two stages, the first of which is controlled by a reliable mutation process and the latter by a chaotic approach. The study also recommends an improved Newton–Raphson (INR) approach to deal with the chaotic nature of the I-V curve equation. The findings show that, when used on actual experimental data, the ELSHADE-INR technique outperforms existing algorithms in a variety of statistical metrics for accurately identifying global solutions.

show abstract

Section: Non-parametric Testmentioning

confidence: 99%

Sustainable Development of a Direct Methanol Fuel Cell Using the Enhanced LSHADE Algorithm and Newton Raphson Method

Singla,

Gupta,

Alsharif

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…The nonlinear model of PEM fuel cells is controlled using conventional sliding mode controllers, which ensures stability and reduces chattering [11]. Model-based optimal control and the efficient online stochastic estimation of fuel cell parameters were previously developed for PEM fuel cells [12]. In [13], an optimal linear parameter varying (LPV) controller was developed for nonlinear PEM fuel cells using a systematic design method based on linear matrix inequality.…”

Section: Introductionmentioning

confidence: 99%

Design of a Fuzzy Adaptive Voltage Controller for a Nonlinear Polymer Electrolyte Membrane Fuel Cell with an Unknown Dynamical System

Ghasemi,

Sedighi,

Ghasemi

et al. 2023

Sustainability

View full text Add to dashboard Cite

This paper presents a fuzzy adaptive controller (FAC) for improving the efficiency and stability of fuel cells, assuming that the nonlinear dynamic model of the system is unknown. In polymer electrolyte membrane fuel cells, the output voltage should be controlled within a given interval. In contrast to prior studies that focused on designing controllers for known dynamical models of PEM fuel cells, the suggested approach addresses the real-world case of a PEM fuel cell with unknown dynamics. An intelligent technique is identified in the suggested strategy to approximate the state-space model of fuel cells to manage unknown functions. On an unknown model of fuel cells, traditional adaptive and fuzzy adaptive controllers are both implemented and compared. The main advantages of the proposed methodology are (1) stability of the closed-loop system using Lyapunov, (2) robustness against external disturbances, (3) application of the FAC to a PEM fuel cell, (4) convergence of the tracking error to 0, and (5) overcoming both unknown dynamics and uncertainty in the system. The most important and valuable advantages of the proposed system are its robustness, tracking error convergence, and Lyapunov stability. This manuscript aims to illustrate the responsiveness and fluency of the proposed procedure using a mathematical formulation of a multi-quadrotor system. As a result, the FAC is more efficient than the traditional one. To validate the controller performance, both the adaptive and fuzzy adaptive controllers are applied to a numerical model of a fuel cell and then compared.

show abstract

Experimental investigation and comprehensive analysis of performance and membrane electrode assembly parameters for proton exchange membrane fuel cell at high operating temperature

Yin,

Chen,

et al. 2024

Energy Conversion and Management

View full text Add to dashboard Cite

Control‐oriented estimation of the exchange current density in PEM fuel cells via stochastic filtering

Cited by 9 publications

References 37 publications

Sustainable Development of a Direct Methanol Fuel Cell Using the Enhanced LSHADE Algorithm and Newton Raphson Method

Sustainable Development of a Direct Methanol Fuel Cell Using the Enhanced LSHADE Algorithm and Newton Raphson Method

Design of a Fuzzy Adaptive Voltage Controller for a Nonlinear Polymer Electrolyte Membrane Fuel Cell with an Unknown Dynamical System

Experimental investigation and comprehensive analysis of performance and membrane electrode assembly parameters for proton exchange membrane fuel cell at high operating temperature

Contact Info

Product

Resources

About