Design of Optimal Fuzzy Logic Controller for FCEVs via Big Bang-Big Crunch
Design of Optimal Fuzzy Logic Controller for FCEVs via Big Bang-Big Crunch
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DOI：
10.1109/eleco60389.2023.10415991
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发表时间：
2023-11
期刊：
影响因子：
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通讯作者：
Saleh Msaddi;Sabri Yılmaz
中科院分区：
文献类型：
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作者：
Saleh Msaddi;Sabri Yılmaz
燃料电池电动汽车（FCEV）由于其零排放能力和与其他电动汽车技术相比更长的行驶里程而越来越受欢迎。在这种系统中存在不同的能源，需要一个能量管理系统，确保有效和协调的动力输送，以满足驾驶需求，同时最大限度地提高整体车辆性能和范围。提出了一种基于模糊逻辑和大爆炸-大紧缩（BB-BC）优化算法的燃料电池汽车能量管理系统。由于模糊逻辑控制器（FLC）的设计是基于专家知识，他们往往会导致次优的解决方案。为此，我们建议使用BB-BC通过全局优化来微调输出隶属函数。进行优化以最小化包含一些期望行为的复合目标函数，例如最小化氢消耗和在输送所需功率的同时将电池充电状态（SOC）保持在中间值附近。
Fuel cell electric vehicles (FCEVs) are gaining popularity due to their zero-emission capability and longer driving ranges compared to other electric vehicle technologies. The existence of different energy sources in such systems requires an energy management system that ensures efficient and coordinated power delivery to meet driving demands while maximizing overall vehicle performance and range. This study proposes an energy management system for FCEVs based on Fuzzy Logic and the Big Bang-Big Crunch (BB-BC) optimization algorithm. Since Fuzzy Logic Controllers (FLCs) are designed based on expert knowledge, they often result in suboptimal solutions. For that, we propose fine-tuning the output membership functions via global optimization using BB-BC. The optimization is carried out to minimize a composite objective function encompassing some desired behavior such as minimizing hydrogen consumption and holding the battery State of Charge (SOC) around mid-value while delivering the required power.