Optimal control method of fuel cell start⁃up in low temperature environment

被引：0
|
作者：
Hu Y.-F. [1 ,2 ]
Yu T. [1 ,2 ]
Yang H.-C. [1 ,2 ]
Sun Y. [1 ]
机构：
[1] State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun
[2] College of Communication Engineering, Jilin University, Changchun
来源：
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2022年 / 52卷 / 09期
关键词：
cold start performance optimization control strategy; control science and engineering; fuel cells; nonlinear model predictive control;
D O I：
10.13229/j.cnki.jdxbgxb20220331
中图分类号：
学科分类号：
摘要：
Combined with the temperature change and icing in the process of fuel cell cold start，a control oriented third-order fuel cell cold start model was established. Aiming at the unmeasurable ice volume fraction of cathode and anode，an ice volume fraction estimation method based on extended state observer was proposed. On this basis，according to the characteristics of constraint and coupling nonlinearity in the cold start process of fuel cell，an optimal control method of fuel cell cold start system based on nonlinear model predictive control was proposed，which realizes the double optimization objectives of improving the rapidity of cold start system and reducing hydrogen consumption. Finally，simulation experiments verify the effectiveness of the designed optimal control system of cold start system. © 2022 Editorial Board of Jilin University. All rights reserved.
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页码：2034 / 2043
页数：9
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