A survey-based type-2 fuzzy logic system for energy management in hybrid electrical vehicles
A survey-based type-2 fuzzy logic system for energy management in hybrid electrical vehicles
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DOI：
10.1016/j.ins.2011.12.013
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发表时间：
2012-05
期刊：
影响因子：
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通讯作者：
Javier Solano Martínez;R. John;D. Hissel;M. Péra
中科院分区：
文献类型：
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作者：
Javier Solano Martínez;R. John;D. Hissel;M. Péra
混合动力汽车结合了两种或两种以上的能源（至少一种电力），以受益于它们在自主性、可逆性和动态响应方面的不同特性。能源管理包括发现不同能源之间的能量分布，同时满足不同的设计要求，如舒适性或能源消耗最小化。本文旨在设计一个模糊逻辑控制器来管理混合动力汽车的能量，混合动力汽车配备了三种不同的能源：电池，超级电容器系统和燃料电池系统。我们利用人类的专业知识来设计模糊逻辑控制器。在混合动力汽车专家中进行了一项使用语言标签的调查。由于每个专家都定义了不同的模糊集和规则，我们使用2型模糊集，这允许将专家的知识结合起来处理与单词含义相关的不确定性。通过计算机仿真对所提出的模糊控制器进行了评价。
Hybrid electrical vehicles combine two or more energy sources (at least one electrical) to benefit from their different characteristics regarding autonomy, reversibility and dynamic response. Energy management consists in discovering an energy distribution between the different energy sources whilst meeting different design requirements such as comfort or energy consumption minimization. This paper aims to design a fuzzy logic controller to manage the energy in a hybrid electrical vehicle equipped with three different energy sources: batteries, a supercapacitors system and a fuel cell system. We use human expertise to design the fuzzy logic controller. A survey using linguistic labels was conducted among experts in hybrid electrical vehicles. As each expert has defined different fuzzy sets and rules we use type-2 fuzzy sets, that permit to combine the knowledge from the experts handling the uncertainty associated with the meaning of the words. The proposed fuzzy logic controller is evaluated by computer simulation.