Temperature Control of PEMFC Stack Based on BP Neural Network

DOI

10.2991/icmmct-16.2016.270How to use a DOI?

Keywords

PEM fuel cell; temperature control; BP neural network

Abstract

PEMFC (proton exchange membrane fuel cell) Stack temperature control system is a strong-coupling system with characteristics of time-change, long-hysteresis, uncertainty and nonlinear. The dissertation studied PEMFC stack temperature control used by BP neural network controller which has a good control quality and a low degree of demand for model. In the Matlab platform, the model of the electric reactor temperature control system is established and compared with the traditional PID. It has been proved that BP neural network control system has very good robustness and control quality and it meet the demand of PEMFC stack temperature control system.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Guo Li
AU  - Yang Li
PY  - 2016/03
DA  - 2016/03
TI  - Temperature Control of PEMFC Stack Based on BP Neural Network
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 1372
EP  - 1376
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.270
DO  - 10.2991/icmmct-16.2016.270
ID  - Li2016/03
ER  -