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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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MYU K.K.
Sensors and Materials
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The Art of Writing Scientific Papers
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 28, Number 9 (2016)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 933-938
S&M1254 Research Paper of Special Issue https://doi.org/10.18494/SAM.2016.1381 Published: September 21, 2016 Design of a Flywheel Control for Fuel Cell Vehicles [PDF] Chung-Neng Huang and Yui-Sung Chen (Received December 22, 2015; Accepted May 16, 2016) Keywords: magnetic flywheel, fuel cell, hybrid powertrain, fuzzy control, system stability
This paper proposes a novel powertrain with a magnetic flywheel to increase the fuel-cell outputfor electric vehicles (EVs). This design enables a constant fuel cell output to prevent polarizationloss occurring in rapid acceleration and deceleration driving. The simulation shows that this designcan effectively support the fuel cell to meet the EV power demands and improve the fuel cellefficiency to provide for better performance.
Corresponding author: Chung-Neng Huang Cite this article Chung-Neng Huang and Yui-Sung Chen, Design of a Flywheel Control for Fuel Cell Vehicles, Sens. Mater., Vol. 28, No. 9, 2016, p. 933-938. |
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- Deep Learning Prediction Model of Mortality Including Brain-type Natriuretic Peptide in Patients with Acute Decompensated Heart Failure
Hirotaka Takizawa, Masatoshi Minamisawa, Hirohiko Motoki, Koichiro Kuwahara, and Masaki Yamaguchi
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