Parameter identification of an SOFC model with an efficient, adaptive differential evolution algorithm

作     者：Gong, Wenyin Cai, Zhihua Yang, Jie Li, Xi Jian, Li 

作者机构：China Univ Geosci Sch Comp Sci Wuhan 430074 Peoples R China China Univ Geosci Sch Mech & Elect Informat Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Dept Control Sci & Engn Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol State Key Lab Mat Proc & Die & Mould Technol Wuhan 430074 Peoples R China 

出 版 物：《INTERNATIONAL JOURNAL OF HYDROGEN ENERGY》 (国际氢能杂志)

年 卷 期：2014年第39卷第10期

页      面：5083-5096页

核心收录：

学科分类：0820[工学-石油与天然气工程] 08[工学] 0807[工学-动力工程及工程热物理] 0703[理学-化学] 

基　　金：National Natural Science Foundation of China [61203307, 61075063] Fundamental Research Funds for the Central Universities at China University of Geosciences (Wuhan) [CUG130413, CUG090109] Research Fund for the Doctoral Program of Higher Education 

主　　题：Differential evolution algorithms Electrochemical model Parameter identification Solid oxide fuel cell (SOFC) 

摘      要：An efficient, adaptive differential evolution (DE) algorithm is proposed in which DE parameter adaptation is implemented. A ranking-based vector selection and crossover rate repairing technique are also presented. The method is referred to as DADE (Improved Jingqiao Adaptive DE). To verify the performance of DADE, the parameters of a simple SOFC electrochemical model that is used to control the output performance of an SOFC stack are identified and optimized. The SOFC electrochemical model is built to provide the simulated data. The results indicate that the proposed method is able to efficiently identify and optimize model parameters while showing good agreement with both simulated and experimental data. Additionally, when compared to other DE variants and other evolutionary algorithms, DADE obtained better results in terms of the quality of the final solutions, robustness, and convergence speed. Copyright (c) 2014, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved.