A Fuzzy Logic Based Regenerative Braking Regulation For a Fuel Cell Bus

Jie Yao, Zaimin Zhong, Sun Ze-chang
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引用次数: 23

Abstract

For a fuel cell bus, it is significant to equip the regenerative break system to enhance the fuel economy. A two-input, one-output Mamdani's fuzzy inference system is introduced to the regenerative braking model. Taking the safety working conditions of the batteries, the driving dynamics and the occupant comfort into consideration, the method can not only recycle the bus braking energy adequately, but also be adjusted easily according to the practical requirement. Through vehicle tests, the method proves to be a valid solution.
基于模糊逻辑的燃料电池客车再生制动调节
对于燃料电池客车来说,安装再生制动系统对提高燃油经济性具有重要意义。将一种二输入一输出的Mamdani模糊推理系统引入再生制动模型。该方法兼顾了蓄电池的安全工况、行驶动力学和乘员舒适性,既能充分回收客车制动能量,又可根据实际需要进行调整。通过车辆试验,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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