Online soft sensor of humidity in PEM fuel cell based on dynamic partial least squares.
ScientificWorldJournal
; 2013: 923901, 2013.
Article
em En
| MEDLINE
| ID: mdl-24453923
ABSTRACT
Online monitoring humidity in the proton exchange membrane (PEM) fuel cell is an important issue in maintaining proper membrane humidity. The cost and size of existing sensors for monitoring humidity are prohibitive for online measurements. Online prediction of humidity using readily available measured data would be beneficial to water management. In this paper, a novel soft sensor method based on dynamic partial least squares (DPLS) regression is proposed and applied to humidity prediction in PEM fuel cell. In order to obtain data of humidity and test the feasibility of the proposed DPLS-based soft sensor a hardware-in-the-loop (HIL) test system is constructed. The time lag of the DPLS-based soft sensor is selected as 30 by comparing the root-mean-square error in different time lag. The performance of the proposed DPLS-based soft sensor is demonstrated by experimental results.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Fontes de Energia Elétrica
/
Sistemas On-Line
/
Monitoramento Ambiental
/
Umidade
/
Membranas Artificiais
Idioma:
En
Revista:
ScientificWorldJournal
Assunto da revista:
MEDICINA
Ano de publicação:
2013
Tipo de documento:
Article
País de afiliação:
China