Temperature Control of PEMFC Stack Based on BP Neural Network
- 10.2991/icmmct-16.2016.270How to use a DOI?
- PEM fuel cell; temperature control; BP neural network
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.
- © 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/).
Cite this article
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 -