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author:

Zhang, Bo (Zhang, Bo.) [1] | Lin, Fei (Lin, Fei.) [2] (Scholars:林菲) | Zhang, Caizhi (Zhang, Caizhi.) [3] | Liao, Ruiyue (Liao, Ruiyue.) [4] | Wang, Ya-Xiong (Wang, Ya-Xiong.) [5] (Scholars:王亚雄)

Indexed by:

EI Scopus SCIE

Abstract:

The aim of this study is to design a thermal management system to address the temperature regulation and fluctuation of an open-cathode proton exchange membrane (PEM) fuel cell. A model predictive control (MPC) approach is newly proposed to command of blowers in the fuel cell. First, a thermal management-oriented model of the fuel cell is set up, and linearized by using Taylor formula. Then, the closed-loop feedback MPC according to the linearized state-space model is developed. An experimental test rig via LabVIEW-based thermal control system prototype is configured. Finally, different load current tests were applied to verify the effectiveness, and the performance of the MPC controller was compared with a traditional PI controller. The results of this study demonstrate that the proposed MPC can effectively manipulate the stack temperature to track the reference trajectory under the constant current as well as dynamic load schedules. In particular, in a combined driving cycle equivalent test condition, the fuel cell temperature reached to the target after a settling time of 146.6 s, and temperature fluctuations were less than +/- 0.5 degrees C with the MAE value of 0.223 and the RMSE value of 0.346. (C) 2020 Elsevier Ltd. All rights reserved.

Keyword:

Model predictive control (MPC) Open-cathode fuel cell Real-time experimental validation Thermal management Thermal model linearization Thermal system modeling

Community:

  • [ 1 ] [Zhang, Bo]Fuzhou Univ, Sch Mech Engn & Automat, Fuzhou 350108, Peoples R China
  • [ 2 ] [Lin, Fei]Fuzhou Univ, Sch Mech Engn & Automat, Fuzhou 350108, Peoples R China
  • [ 3 ] [Liao, Ruiyue]Fuzhou Univ, Sch Mech Engn & Automat, Fuzhou 350108, Peoples R China
  • [ 4 ] [Wang, Ya-Xiong]Fuzhou Univ, Sch Mech Engn & Automat, Fuzhou 350108, Peoples R China
  • [ 5 ] [Wang, Ya-Xiong]Beijing Inst Technol, Natl Engn Lab Elect Vehicles, Beijing 100081, Peoples R China
  • [ 6 ] [Zhang, Bo]Chongqing Univ, Chongqing Automot Collaborat Innovat Ctr, State Key Lab Mech Transmiss, Sch Automot Engn, Chongqing 400044, Peoples R China
  • [ 7 ] [Zhang, Caizhi]Chongqing Univ, Chongqing Automot Collaborat Innovat Ctr, State Key Lab Mech Transmiss, Sch Automot Engn, Chongqing 400044, Peoples R China

Reprint 's Address:

  • 王亚雄

    [Wang, Ya-Xiong]Fuzhou Univ, Sch Mech Engn & Automat, Fuzhou 350108, Peoples R China

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Source :

RENEWABLE ENERGY

ISSN: 0960-1481

Year: 2020

Volume: 154

Page: 1014-1024

8 . 0 0 1

JCR@2020

9 . 0 0 0

JCR@2023

ESI Discipline: ENGINEERING;

ESI HC Threshold:132

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 69

SCOPUS Cited Count: 63

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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