Modelling of Humidity Dynamics for Open-Cathode Proton Exchange Membrane Fuel Cell

Chen, Fengxiang; Zhang, Liming; Jiao, Jieran

doi:10.3390/wevj12030106

Cited by 8 publications

(4 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As can be observed, an increase in current input leads to a decrease in the membrane water content. In their work regarding modeling humidity dynamics of an opencathode PEM fuel cell, Chen et al [16] observed similar dynamics of membrane water content in response to an increase in current. Karthik and Vijayachitra [26] and Chen et al After validating the thermal and voltage predictions of GT-Suite, its membrane water content was used to validate the physics-based water management model.…”

Section: Lumped Model Validationmentioning

confidence: 86%

“…To study and control the cathode humidity of a PEM fuel cell, Chen et al [15] developed a dynamic water management model and applied an active disturbance control strategy. Chen et al [16] developed a lumped parameter control-oriented model for predicting humidity dynamics for an opencathode PEM fuel cell. Based on their model, the output performance of an open-cathode PEM fuel cell, taking into account the internal humidity state of the stack, is predicted.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Control-Oriented Model for Predicting Variations in Membrane Water Content of an Open-Cathode Proton Exchange Membrane Fuel Cell

Adunyah,

Gawli,

Hall

2024

Energies

View full text Add to dashboard Cite

Proton exchange membrane (PEM) fuel cells have emerged as a viable alternative energy production source for stationary and transportation applications. Reliable and sustainable fuel cell operation requires effective water management. Membrane water content can vary along the stack during transients which can lead to losses in fuel cell performance. To control these variations, a model that predicts the internal humidity dynamics of the stack is needed. In this study, a control-oriented model for predicting membrane water content variation was developed and implemented in MATLAB/Simulink. A lumped parameter model was initially developed and then further discretized into smaller control volumes to track humidity distribution along the stack. To validate the model’s predictions, the predicted results were compared to computer simulation results from GT-Suite. The root mean square error (RMSE) between the model’s prediction and GT-Suite’s simulation results was found to be within 1.5 membrane water content for all cases, demonstrating the model’s capability to capture the variation in membrane water content along the stack. The developed model will be useful for real-time control of membrane water content distribution in PEM fuel cells.

show abstract

Section: Lumped Model Validationmentioning

confidence: 86%

Section: Introductionmentioning

confidence: 99%

A Control-Oriented Model for Predicting Variations in Membrane Water Content of an Open-Cathode Proton Exchange Membrane Fuel Cell

Adunyah,

Gawli,

Hall

2024

Energies

View full text Add to dashboard Cite

show abstract

“…In the context where 𝑉 𝐹𝐶 denotes the output voltage of the fuel cell, 𝐸 𝑁𝑒𝑟𝑛𝑠𝑡 is the symbol employed to depict the thermodynamic potential and reversible voltage of the fuel cell [22], which equivalently represents its output voltage. Nevertheless, the actual output voltage is diminished owing to diverse voltage losses.…”

Section: Simulation Model Of Oc-pem Fuel Cellmentioning

confidence: 99%

Enhancing voltage stability through wavelet-fuzzy control of hydrogen flow in OC-PEM fuel cell

Pangaribowo,

Mulyo Utomo,

Budiman

et al. 2024

Bulletin EEI

View full text Add to dashboard Cite

Open cathode proton exchange membrane fuel cells (OC-PEM fuel cells) serve as electricity generators, utilizing hydrogen as an input source. While effective for fixed loads like residential applications, challenges arise in dealing with output voltage fluctuations caused by rapid load changes. These fluctuations not only impact fuel cell performance but also introduce instability in the supplied power. To solve this issue, the study proposes an innovative hydrogen flow control system employing a feedforward wavelet- fuzzy method. The primary goal of this control system is to enhance fuzzy control performance using wavelets, mitigating signal fluctuations and achieving optimal stability in fuel cell output voltage under constant load conditions. Wavelet functions act as filters on the fuzzy control input, minimizing fluctuations and refining the entire process. Additionally, a feedforward system is incorporated to maintain hydrogen flow at the set point value. The proposed control system is implemented on a validated model using experimental data. Performance analysis reveals that the proposed method effectively stabilizes voltage by accelerating the recovery time from disturbances.

show abstract

“…Furthermore, membrane drying will also lead to localized hot spots [8], which causes damage to the PEM such as perforation or delamination. In the contrary, too high water content will leave the membrane in a "flooding" state, which will block porous channels and reduce the rate of reactant transport [9][10][11]. It has been shown that improper humidity of the PEM not only degrades the performance of the fuel cell and reduces the power generation efficiency but also leads to irreversible degradation of its internal components (e.g., the catalyst and membrane).…”

Section: Introductionmentioning

confidence: 99%

State Estimation of Membrane Water Content of PEMFC Based on GA-BP Neural Network

et al. 2023

Self Cite

View full text Add to dashboard Cite

Too high or too low water content in the proton exchange membrane (PEM) will affect the output performance of the proton exchange membrane fuel cell (PEMFC) and shorten its service life. In this paper, the mathematical mechanisms of cathode mass flow, anode mass flow, water content in the PEM and stack voltage of the PEMFC are deeply studied. Furthermore, the dynamic output characteristics of the PEMFC under the conditions of flooding and drying membrane are reported, and the influence of water content in PEM on output performance of the PEMFC is analyzed. To effectively diagnose membrane drying and flooding faults, prolong their lifespan and thus to improve operation performance, this paper proposes the state assessment of water content in the PEM based on BP neural network optimized by genetic algorithm (GA). Simulation results show that compared with LS-SVM, GA-BP neural network has higher estimation accuracy, which lays a foundation for the fault diagnosis, life extension and control scheme design of the PEMFC.

show abstract

Modelling of Humidity Dynamics for Open-Cathode Proton Exchange Membrane Fuel Cell

Cited by 8 publications

References 26 publications

A Control-Oriented Model for Predicting Variations in Membrane Water Content of an Open-Cathode Proton Exchange Membrane Fuel Cell

A Control-Oriented Model for Predicting Variations in Membrane Water Content of an Open-Cathode Proton Exchange Membrane Fuel Cell

Enhancing voltage stability through wavelet-fuzzy control of hydrogen flow in OC-PEM fuel cell

State Estimation of Membrane Water Content of PEMFC Based on GA-BP Neural Network

Contact Info

Product

Resources

About