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Intelligent Control for Optimal Performance of a Fuel Cell Hybrid Auto Rickshaw

机译:燃料电池混合动力自动人力车最佳性能的智能控制

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A number of studies have been conducted on the conversion of diesel powered auto rickshaws to electric drive. Of key importance to the design of any hybrid vehicle is the energy management strategy that controls the energy flow between components. This paper reports on a project whose objective is to develop and compare different intelligent control strategies for the optimal performance of a fuel cell hybrid auto rickshaw. At first, a novel fuel cell load following strategy (FCLS) showed better results when compared to a traditional equivalent consumption minimization strategy. FCLS was then benchmarked against a fuzzy control strategy (FCS). It was found that after careful tuning, FCLS and FCS were equivalent. However, tuning the fuzzy logic controller was difficult. Thus, further work is being conducted to find a more systematic way to tune FCS, with the belief that it has potential to produce better results than FCLS.
机译:关于将柴油动力自动人力车转换为电力驱动装置已经进行了许多研究。对于任何混合动力汽车的设计而言,至关重要的是控制组件之间能量流的能量管理策略。本文报告了一个项目,该项目的目的是开发和比较不同的智能控制策略,以实现燃料电池混合动力人力车的最佳性能。首先,与传统的等效消耗最小化策略相比,一种新颖的燃料电池负荷跟踪策略(FCLS)显示出更好的结果。然后以模糊控制策略(FCS)为基准对FCLS进行了基准测试。发现经过仔细调整后,FCLS和FCS是等效的。但是,调整模糊逻辑控制器很困难。因此,人们正在做进一步的工作,以找到一种更系统的方法来调整FCS,并相信它具有比FCLS产生更好结果的潜力。

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