Fuzzy Based Hybrid Control Topology for Fuel Cell and Battery Powered EV

Shelma George, R. T.
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Abstract

The green energy revolution showcases the potential of hydrogen-powered vehicles. Moreover, hybrid energy sources are replacing the conventional energy supply system of the electric vehicle. In this context, this paper presents a fuel cell and battery-powered hybrid vehicle topology. The paper describes the mathematical modelling of a fuel cell-powered hybrid EV power train. Since a fuel cell is an energy supplier only, it requires secondary storage, like a battery. The battery can store energy during regenerative operation. A practical drive cycle generally involves uncertainty in the driving pattern on various roadways. Uncertainty in the drive cycle needs an adaptive control strategy for the performance improvement of EVs. A fuzzy logic-based control algorithm for effective utilization of energy storage units is developed. The result shows that the proposed fuzzy control is effective in the city drive cycle, which has the characteristics of frequent starting, stopping and acceleration. The potency of the proposed control strategy is validated with a case study using a modified drive cycle considering the driving pattern of Trivandrum, Kerala. The result shows that the fuzzy-based control strategy results in a significant improvement in driving range.
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基于模糊的燃料电池和电池动力电动汽车混合控制拓扑
绿色能源革命展示了氢动力汽车的潜力。此外,混合能源正在取代传统的电动汽车能源供应系统。在此背景下,本文提出了一种燃料电池和电池驱动的混合动力汽车拓扑结构。本文描述了一种燃料电池驱动的混合动力电动汽车动力系统的数学模型。由于燃料电池只是一种能源供应商,它需要像电池一样的二次存储。电池可以在再生过程中储存能量。一个实际的驾驶循环通常包含不同道路上驾驶模式的不确定性。电动汽车行驶周期的不确定性需要一种自适应控制策略来提高其性能。提出了一种基于模糊逻辑的储能单元有效利用控制算法。结果表明,所提出的模糊控制方法在起动、停车和加速频繁的城市行驶工况下是有效的。考虑到喀拉拉邦特里凡得琅的驾驶模式,使用改进的驾驶循环,通过案例研究验证了所提出的控制策略的有效性。结果表明,基于模糊的控制策略显著提高了车辆的行驶里程。
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