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Fuzzy logic control of electric vehicles: Design and analysis concepts

机译：电动汽车的模糊逻辑控制：设计和分析概念

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摘要

Electric vehicles (EVs) are complex electromechanical systems described by nonlinear models and therefore their control design and analysis is not an easy task. In the present work, fuzzy logic controllers (FLCs) are used and examined via extensive simulations. A main weakness of the FLC approach is how to ensure system stability, and the main contribution of the paper is that a nonlinear model-based analysis is performed to cover this gap. Particularly, it is proven that for the entire EV system, the input-to-state stability (ISS) property holds true with respect to arbitrary external inputs, namely the external mechanical torque on the car wheels and the internal battery voltage. Furthermore, it is shown that the system is ISS and its states converge to the equilibrium regardless from the way the controlled-inputs are constructed. This decisively enhances the overall design approach since it is proven that FLCs applied on the EV, simultaneously guarantee system stability.
机译：电动汽车（EV）是由非线性模型描述的复杂机电系统，因此其控制设计和分析并非易事。在当前的工作中，使用了模糊逻辑控制器（FLC）并通过广泛的仿真对其进行了检查。 FLC方法的主要缺点是如何确保系统稳定性，并且本文的主要贡献在于，执行了基于非线性模型的分析来弥补这一空白。尤其是，已证明，对于整个EV系统，输入状态稳定性（ISS）属性对于任意外部输入（即车轮上的外部机械扭矩和内部电池电压）都是正确的。此外，表明该系统是ISS，其状态收敛于平衡状态，而与受控输入的构造方式无关。事实证明，应用于电动汽车的FLC可同时确保系统稳定性，从而从根本上增强了整体设计方法。

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