Numerical study of subfreezing temperature cold start of proton exchange membrane fuel cells with zigzag-channeled flow field

Liao, Zihao; Wei, Lin; Dafalla, Ahmed Mohmed; Suo, Zhenbang; Jiang, Fangming

doi:10.1016/j.ijheatmasstransfer.2020.120733

Cited by 49 publications

(18 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Polymer Electrolytic Membrane Fuel Cells (PEMFCs) are getting a lot of attention because they can be used for both stationary and portable applications. PEMFCs have fast start-up time, low operating temperatures, high power density, and zero emissions, making them suitable for automobiles [27]. Some of the main advantages of fuel cells are as follows: higher efficiency of fuel cell and carbon emissions free operation as compared to internal combustion engine.…”

Section: Plos Onementioning

confidence: 99%

Performance improvement in polymer electrolytic membrane fuel cell based on nonlinear control strategies—A comprehensive study

2022

View full text Add to dashboard Cite

A Polymer Electrolytic Membrane Fuel Cell (PEMFC) is an efficient power device for automobiles, but its efficiency and life span depend upon its air delivery system. To ensure improved performance of PEMFC, the air delivery system must ensure proper regulation of Oxygen Excess Ratio (OER). This paper proposes two nonlinear control strategies, namely Integral Sliding Mode Control (ISMC) and Fast Terminal ISMC (FTISMC). Both the controllers are designed to control the OER at a constant level under load disturbances while avoiding oxygen starvation. The derived controllers are implemented in MATLAB/ Simulink. The corresponding simulation results depict that FTISMC has faster tracking performance and lesser fluctuations due to load disturbances in output net power, stack voltage/power, error tracking, OER, and compressor motor voltage. Lesser fluctuations in these parameters ensure increased efficiency and thus extended life of a PEMFC. The results are also compared with super twisting algorithm STA to show the effectiveness of the proposed techniques. ISMC and FTISMC yield 7% and 20% improved performance as compared to STA. The proposed research finds potential applications in hydrogen-powered fuel cell electric vehicles.

show abstract

Section: Plos Onementioning

confidence: 99%

Performance improvement in polymer electrolytic membrane fuel cell based on nonlinear control strategies—A comprehensive study

2022

View full text Add to dashboard Cite

show abstract

“…An online self cold startup methodology consisting of a water extraction step after the PEMFC shutdown and a self‐heating step during the cold startup was invented, which maximizes the internal heat of the PEMFC according to the variation of operating parameters, attempts to maintain a high current density, and improves the performance by increasing the hydration and temperature of the PEM 235 . The cold‐start processes of PEMFCs with zigzag‐channeled flow field (ZZFF) has been numerically studied, and it was found that ZZFF can better distribute the reactants/products and current density within PEMFCs because ZZFF enhances the flow direction transport between under‐land and under‐channel areas 236 . It has been reported that it is easier to realize the success of cold start by current ramping mode than by constant voltage or constant current strategies 237 .…”

Section: Issues and Challengesmentioning

confidence: 99%

Optimization and cutting‐edge design of fuel‐cell hybrid electric vehicles

Luo

et al. 2021

Int J Energy Res

View full text Add to dashboard Cite

Summary The transportation sector consumes a large amount of fossil fuels consequently exacerbating the global environmental and energy crisis. Fuel‐cell hybrid electric vehicles (FCHEVs) are promising alternatives in the continuous transition to clean energy. This article summarizes the recent advances pertaining to the optimization and cutting‐edge design of fuel‐cell hybrid electric vehicles, especially the fuel cell + battery hybrid topology, and discusses current technological bottlenecks hindering the commercialization of FCHEVs. The development of HEVs, markets, environmental and economic benefits, components, topologies, energy management strategies, degradation mechanisms, and safety standards of FCHEVs are reviewed. Proton exchange membrane fuel cells constitute the mainstream and most mature fuel cell technology for automobile applications. Battery hybridization is currently favored among the available FCHEV topological designs to improve the dynamic response and recover the braking energy. Energy management strategies encompassing logic rule‐based simple methods, intelligent control methods, global optimization strategies, and local optimization strategies are described, and issues and challenges encountering FCHEVs are discussed. In addition to promoting the construction of hydrogen supply facilities, future efforts are expected to focus on solving problems such as the high cost, durability of fuel cells, cold start, lifetime of batteries, security and comfort, system optimization, energy management systems, integration, and diagnosis of faults. This review serves as a reference and guide for future technological development and commercialization of FCHEVs. Highlights Advances of the optimization and cutting‐edge design of FCHEVs are reviewed. Battery hybridization is currently favored among the available topological designs. Benefits, components, topologies, and energy management strategies are described. Markets, degradation mechanisms, and safety standards of FCHEVs are introduced. Technological bottlenecks hindering the commercialization of FCHEVs are discussed.

show abstract

“…All model parameters are physical quantities, fundamental constants, and known values. Measurement data is not needed [5][6][7]. This approach is not feasible if not every parameter is known, which is usually the case for FC models.…”

Section: Introductionmentioning

confidence: 99%

Efficient Two-Step Parametrization of a Control-Oriented Zero-Dimensional Polymer Electrolyte Membrane Fuel Cell Model Based on Measured Stack Data

Steindl

Jakubek

2021

Processes

View full text Add to dashboard Cite

This paper proposes a new efficient two-step method for parametrizing control-oriented zero-dimensional physical polymer electrolyte membrane fuel cell (PEMFC) models with measured stack data. Parametrizations of these models are computationally intensive due to the numerous unknown parameters and the typically nonlinear, stiff model properties. This work reduces an existing model to decrease its stiffness for accelerated numerical simulations. Subdividing the parametrization into two consecutive subproblems (thermodynamic and electrochemical ones) reduces the solution space significantly. A parameter sensitivity analysis further reduces each sub-solution space by excluding non-significant parameters. The method results in an efficient parametrization process. The two-step approach minimizes each sub-solution space’s dimension by two-thirds, respectively three-fourths, compared to the global one. An achieved R2 value between simulation and measurement of 91% on average provides the required accuracy for control-oriented models.

show abstract

Numerical study of subfreezing temperature cold start of proton exchange membrane fuel cells with zigzag-channeled flow field

Cited by 49 publications

References 36 publications

Performance improvement in polymer electrolytic membrane fuel cell based on nonlinear control strategies—A comprehensive study

Performance improvement in polymer electrolytic membrane fuel cell based on nonlinear control strategies—A comprehensive study

Optimization and cutting‐edge design of fuel‐cell hybrid electric vehicles

Efficient Two-Step Parametrization of a Control-Oriented Zero-Dimensional Polymer Electrolyte Membrane Fuel Cell Model Based on Measured Stack Data

Contact Info

Product

Resources

About