Water Content Estimation and Control of PEM Fuel Cell Stack and the Individual Cell in Vehicle: Springer Theses
Autor Po Hongen Limba Engleză Hardback – 18 ian 2022
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Paperback (1) | 972.69 lei 43-57 zile | |
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Springer Nature Singapore – 18 ian 2022 | 978.41 lei 43-57 zile |
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Specificații
ISBN-13: 9789811688133
ISBN-10: 9811688133
Pagini: 149
Ilustrații: XII, 149 p. 92 illus., 65 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.41 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Springer Theses
Locul publicării:Singapore, Singapore
ISBN-10: 9811688133
Pagini: 149
Ilustrații: XII, 149 p. 92 illus., 65 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.41 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Springer Theses
Locul publicării:Singapore, Singapore
Cuprins
Introduction.- Modeling of water content in MEA for the PEM fuel cell.- Approach to online AC impedance measurement of the fuel cell.- Water content estimation of the PEM fuel cell.- Water management strategy for the PEM fuel cell.
Notă biografică
Po Hong received his Ph. D degree from the Tsinghua University in 2019, and his B. S. degree from the Tsinghua University in 2013, all in automotive engineering. He holds 26 Chinese patents, 1 US patent and 2 PCT application, and published 12 journal and conference papers. He received the Excellent Ph. D Thesis Paper Award and SHUIMU Scholar Award in 2019.He studies at Tsinghua University as a post doctor from 2019 until now.
Textul de pe ultima copertă
This book focuses on water content estimation and control of the PEM fuel cell stack and the individual cell in vehicle. Firstly, the mathematical connection between polarization curve and equivalent circuit model proves importance of MEA and its feasibility to study water content. Optimizing structure of MEA realizes the internal water content recirculation of a fuel cell and improves its performance under middle or lower current density. The influence of water content on performance of MEA is quantified, and variation of equivalent circuit model is an excellent indicator of water content. Secondly, the comprehensive online AC impedance measurement method is put forward, including current excitation method, weak voltage and current signal processing method, and method for analyzing measurement error, and experiment validates measurement accuracy. The high-frequency impedance and statistical characteristic are proposed as indicator of water content. Finally, the dynamic model of theair supply system of a fuel cell engine is established and the closed-loop control of the air supply system and the water content estimation are decoupled. The experiment on a fuel cell system validates the proposed method for searching optimized operating conditions and the water management strategy.
Caracteristici
Develops a model of water content in MEA to effectively quantify its influence on performance Establishes the approach to online AC impedance measurement of the individual cell and fuel cell stack Constructs water management strategy based on water content estimation