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机译:基于新型遗传算法的PEM燃料电池堆热模型控制律参数优化
Department of Control Science and Engineering, Key Laboratory of Education, Ministry for Image Processing and Intelligent Control, Huazhong University of Science & Technology,Wuhan 430074, China;
Department of Control Science and Engineering, Key Laboratory of Education, Ministry for Image Processing and Intelligent Control, Huazhong University of Science & Technology,Wuhan 430074, China;
Department of Automation, China Jiliang University, Hangzhou 310018, Zhejiang, China;
Institute of Fuel Cell, Shanghai Jiao long University, Shanghai 200240, China;
Institute of Fuel Cell, Shanghai Jiao long University, Shanghai 200240, China;
proton exchange membrane fuel cell stack; thermal management; novel genetic algorithm;
机译:基于自适应神经模糊推理系统和遗传算法的PEM燃料电池堆多目标参数设计
机译:基于动力学模型和改进遗传算法的管状固体氧化物燃料电池堆参数优化
机译:使用遗传算法的质子交换膜(PEM)燃料电池堆构造
机译:PEM燃料电池堆的参数识别方法使用粒子群优化
机译:聚合物电解质膜(PEM)燃料电池的建模,参数鉴定和劣化控制
机译:多目标遗传算法在同时测定多个弱色谱峰的单井势随机共振算法参数优化中的应用
机译:不同聚合物电解质膜燃料电池堆模型的有效参数提取使用改进的人工生态系统优化算法