Futuristic Energy Management Solution: Fuzzy logic controller-Enhanced Hybrid Storage for Electric Vehicles with Batteries and Super Capacitors

P Sudhakar, I Kumaraswamy
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Abstract

The core focus of this study was directed towards devising an energy management strategy tailored for hybrid storage systems (HSS) within electric vehicles, with the prime objective of enhancing the longevity of the battery cycle. The batteries employed in electric vehicles (EVs) are prone to expedited deterioration resulting from harsh charging/discharging cycles and the substantial power surges experienced during acceleration and deceleration phases. While an excessively large energy storage system (ESS) could cater to the elevated power requisites, it inevitably grapples with augmented dimensions, bulk, and cost implications. In a bid to surmount these challenges, an innovative approach has been explored: integrating battery and supercapacitor (SC) elements within the HSS. This synergy aims not only to curtail the overall ESS footprint but also to elongate the operational lifespan of the battery. The pivotal concern revolves around constructing an adept energy management scheme that orchestrates the interplay between the primary energy storage component and the SC, a resource in demand by EVs. Central to this study is the proposition of an intelligent energy management strategy, grounded in fuzzy logic controller (FLC), seamlessly embedded within the within the HSS of the EV. To translate these concepts into tangible outcomes, a comprehensive assessment was conducted. By leveraging the capabilities of MATLAB/Simulink software, the state of charge for the super capacitor and the power dynamics of the battery were scrutinized across diverse driving scenarios over distinct time intervals. The standout feature of this investigation lies in the employment of an ingenious FLC strategy, meticulously regulating the energy and flow of power and energy between the battery and super capacitor elements within the HSS of the EV. In a comparative analysis against conventional control methodologies, this approach shines vividly, yielding superior outcomes and cementing its efficacy.
未来能源管理解决方案:用于电池和超级电容器的电动汽车的模糊逻辑控制器增强混合存储
本研究的核心重点是针对电动汽车内的混合存储系统(HSS)设计一种量身定制的能源管理策略,其主要目标是提高电池循环的寿命。由于严酷的充电/放电周期以及在加速和减速阶段经历的大量功率浪涌,电动汽车(ev)中使用的电池容易加速老化。虽然超大的储能系统(ESS)可以满足更高的功率要求,但它不可避免地要解决尺寸、体积和成本方面的问题。为了克服这些挑战,已经探索了一种创新的方法:在HSS中集成电池和超级电容器(SC)元件。这种协同作用的目的不仅是减少整体ESS足迹,而且还延长了电池的使用寿命。关键的问题围绕着构建一个熟练的能源管理方案,协调主要储能组件和电动汽车所需的SC之间的相互作用。本研究的核心是提出一种智能能源管理策略,该策略以模糊逻辑控制器(FLC)为基础,无缝嵌入到电动汽车的HSS内。为了将这些概念转化为切实的成果,进行了全面的评估。利用MATLAB/Simulink软件的功能,在不同时间间隔的不同驾驶场景下,仔细检查超级电容器的充电状态和电池的功率动态。这项研究的突出特点在于采用了一种巧妙的FLC策略,精心调节电动汽车HSS内电池和超级电容器元件之间的能量和能量流动。在与传统控制方法的比较分析中,这种方法表现得淋漓尽致,产生了更好的结果并巩固了其功效。
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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