Temperature control strategy for polymer electrolyte fuel cells
(2020) In International Journal of Energy Research 44(6). p.4352-4365- Abstract
A polymer electrolyte fuel cell (PEFC) is an electrochemical device that converts chemical energy directly to electrical energy, and its performance greatly depends on its operating temperature. Therefore, in this paper, a novel thermodynamic PEFC model with the airflow cooling method is firstly developed for the PEFC system. Then, a novel model predictive control (MPC) controller is designed to control the stack temperature at an optimal value by adjusting the air flow rate on the basis of the developed thermodynamic PEFC model. The thermodynamic PEFC model and the designed controlling strategies are simulated and analysed in Matlab/Simulink. Three tests are conducted to estimate the reliability of the developed controllers concerning... (More)
A polymer electrolyte fuel cell (PEFC) is an electrochemical device that converts chemical energy directly to electrical energy, and its performance greatly depends on its operating temperature. Therefore, in this paper, a novel thermodynamic PEFC model with the airflow cooling method is firstly developed for the PEFC system. Then, a novel model predictive control (MPC) controller is designed to control the stack temperature at an optimal value by adjusting the air flow rate on the basis of the developed thermodynamic PEFC model. The thermodynamic PEFC model and the designed controlling strategies are simulated and analysed in Matlab/Simulink. Three tests are conducted to estimate the reliability of the developed controllers concerning different operating conditions: (a) typical perturbation in the current load, (b) any perturbation in the current load, and (c) variation of the ambient temperature. The simulation results demonstrate that the MPC controller can effectively control the stack temperature at the desired value. Moreover, the MPC controller shows much superior effects compared with the conventional proportional integral derivative (PID) controller. In addition, the developed coolant circuit model can be easily applied to various PEFC systems. The MPC controller shows potential also for other controlling issues of PEFC systems due to its strong robustness and fast response.
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- author
- Qi, Yuanxin LU ; Li, Xiufei LU ; Li, Shian LU ; Li, Tingshuai ; Espinoza-Andaluz, Mayken LU ; Tunestål, Per LU and Andersson, Martin LU
- organization
- publishing date
- 2020-05
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- model predictive control, polymer electrolyte fuel cells, temperature control, thermodynamic model
- in
- International Journal of Energy Research
- volume
- 44
- issue
- 6
- pages
- 14 pages
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- scopus:85079711222
- ISSN
- 0363-907X
- DOI
- 10.1002/er.5209
- language
- English
- LU publication?
- yes
- id
- ab2110bd-83f2-46bc-a8a5-a9ce8df2553b
- date added to LUP
- 2020-02-28 13:04:58
- date last changed
- 2022-04-18 20:47:26
@article{ab2110bd-83f2-46bc-a8a5-a9ce8df2553b, abstract = {{<p>A polymer electrolyte fuel cell (PEFC) is an electrochemical device that converts chemical energy directly to electrical energy, and its performance greatly depends on its operating temperature. Therefore, in this paper, a novel thermodynamic PEFC model with the airflow cooling method is firstly developed for the PEFC system. Then, a novel model predictive control (MPC) controller is designed to control the stack temperature at an optimal value by adjusting the air flow rate on the basis of the developed thermodynamic PEFC model. The thermodynamic PEFC model and the designed controlling strategies are simulated and analysed in Matlab/Simulink. Three tests are conducted to estimate the reliability of the developed controllers concerning different operating conditions: (a) typical perturbation in the current load, (b) any perturbation in the current load, and (c) variation of the ambient temperature. The simulation results demonstrate that the MPC controller can effectively control the stack temperature at the desired value. Moreover, the MPC controller shows much superior effects compared with the conventional proportional integral derivative (PID) controller. In addition, the developed coolant circuit model can be easily applied to various PEFC systems. The MPC controller shows potential also for other controlling issues of PEFC systems due to its strong robustness and fast response.</p>}}, author = {{Qi, Yuanxin and Li, Xiufei and Li, Shian and Li, Tingshuai and Espinoza-Andaluz, Mayken and Tunestål, Per and Andersson, Martin}}, issn = {{0363-907X}}, keywords = {{model predictive control; polymer electrolyte fuel cells; temperature control; thermodynamic model}}, language = {{eng}}, number = {{6}}, pages = {{4352--4365}}, publisher = {{John Wiley & Sons Inc.}}, series = {{International Journal of Energy Research}}, title = {{Temperature control strategy for polymer electrolyte fuel cells}}, url = {{http://dx.doi.org/10.1002/er.5209}}, doi = {{10.1002/er.5209}}, volume = {{44}}, year = {{2020}}, }