Temperature control of proton exchange membrane fuel cell thermal management system based on adaptive LQR control

被引:0
|
作者
Pei Y.-W. [1 ]
Chen F.-X. [1 ]
Hu Z. [2 ]
Zhai S. [2 ]
Pei F.-L. [3 ]
Zhang W.-D. [4 ]
Jiao J.-R. [1 ]
机构
[1] School of Automotive Studies, Tongji University, Shanghai
[2] Shanghai Re-fire Technology Co.,Ltd., Shanghai
[3] Shanghai Motor Vehicle Inspection Certification & Tech Innovation Center Co.,Ltd., Shanghai
[4] College of Information and Communication Engineering, Hainan University, Haikou
关键词
dynamic feedback gain; linear quadratic regulator(LQR); proton exchange membrane fuel cell(PEMFC); thermal management system; vehicle engineering;
D O I
10.13229/j.cnki.jdxbgxb20220259
中图分类号
学科分类号
摘要
In order to improve the operation efficiency of fuel cell,its working temperature must be effectively controlled. In this paper,the thermal management system model is built on the Matlab/Simulink platform. The model can be used to analyze the flow distribution,pressure loss and heat exchange between various parts. Based on this model,an adaptive linear quadratic regulator(LQR)controller is proposed and compared with LTI-LQR and LQI controllers under different working conditions. The simulation results show that under the step response test,the adaptive LQR controller has no steady-state error,no overshoot and the rising time is 15 s;under the dynamic performance test,the stack outlet temperature can quickly track the reference value in the global range,which fully reflects the advantages of the controller. © 2022 Editorial Board of Jilin University. All rights reserved.
引用
收藏
页码:2014 / 2024
页数:10
相关论文
共 22 条
  • [1] Pandiyan S, Jayakumar K, Rajalakshmi N, Et al., Thermal and electrical energy management in a PEM⁃ FC stack—an analytical approach, International Journal of Heat and Mass Transfer, 51, 3, pp. 469-473, (2008)
  • [2] Rojas J D, Ocampo-Martinez C, Kunusch C., Ther⁃ mal modelling approach and model predictive control of a water-cooled PEM fuel cell system, 39th An⁃ nual Conference of the IEEE Industrial Electronics Society, pp. 3806-3811, (2013)
  • [3] Han J, Yu S, Yi S., Advanced thermal management of automotive fuel cells using a model reference adap⁃ tive control algorithm, International Journal of Hy⁃ drogen Energy, 42, 7, pp. 4328-4341, (2017)
  • [4] Chen F, Jiao J, Yu Y, Et al., Active control of stack inlet and outlet coolant temperature for the PEM fuel cell system[C], 2017 International Conference on Fu⁃ el Cell Science, Engineering and Technology, (2017)
  • [5] Yu S, Jung D., A study of operation strategy of cool⁃ ing module with dynamic fuel cell system model for transportation application, Renewable Energy, 35, 11, pp. 2525-2532, (2010)
  • [6] Saygili Y, Eroglu I, Kincal S., Model based tempera⁃ ture controller development for water cooled PEM fu⁃ el cell systems, International Journal of Hydrogen Energy, 40, 1, pp. 615-622, (2015)
  • [7] Pukrushpan J T., Modeling and control of fuel cell sys⁃ tems and fuel processors, (2003)
  • [8] Niu Zhuo, Zhang Yu-jin, Deng Hui-wen, Et al., Thermal management system of water-cooled PEM ⁃ FC based on OPC technology, Acta Energiae So⁃ laris Sinica, 40, 4, pp. 942-949, (2019)
  • [9] Zheng Wen-jie, Yang Jing, Zhu Lin-pei, Et al., Simu⁃ lation and experimental study on thermal management system of vehicle fuel cell, Automotive Engineer⁃ ing, 43, 3, pp. 381-386, (2021)
  • [10] Guo Ai, Chen Wei-rong, Liu Zhi-xiang, Et al., Mod⁃ eling and dynamic analysis of thermal management system for fuel cell locomotive, Journal of South⁃ west Jiaotong University, 50, 5, pp. 953-960, (2015)