Fuzzy Logic Controller Based Charging and Discharging Control for Battery in EV Applications

Azra Zaineb, M. Vijayasanthi, Nagaraju Mandadi
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引用次数: 0

Abstract

The present research addresses the fuzzy charging and discharge control method for batteries made with lithium-ion utilized in EV applications. The proposed fuzzy-based solution takes into account available parameter to charge or discharge the store within the safe functioning area. To analyses and control battery performance, a variety of controlling methods have been used, but each has its own set of drawbacks, such as the inability to stop two charging conditions, the difficulty of the controller, the lengthy charge time. Due to the lack of mathematical calculations, a fuzzy controller is also simpler to construct, has less additional sensing components, and fewer deep discharging and overcharging protections, making it more efficient in terms of speed and complexity. The effectiveness of the suggested charging-discharging controller system is demonstrated through numerical simulations employing load demand and generation. Performance of the suggested controller is evaluated under simulated load conditions. The model's ability to regulate battery charging and discharging is confirmed by the trial's successful conclusion. The output shows that the battery's state of charge (SOC) never goes above the 20% to 80% safe range for that specific type. A new fuzzy model and an operational real-time system for regulating battery charging and discharging are the major results of this research.
基于模糊逻辑控制器的电动汽车电池充放电控制
本研究针对电动汽车应用中使用的锂离子电池提出了模糊充放电控制方法。所提出的基于模糊的解决方案考虑了在安全工作区域内对电池进行充电或放电的可用参数。为了分析和控制电池性能,人们使用了多种控制方法,但每种方法都有其自身的缺点,如无法停止两种充电条件、控制器难度大、充电时间长等。由于不需要数学计算,模糊控制器的构造也更简单,附加的传感元件更少,深度放电和过充电保护也更少,因此在速度和复杂性方面都更有效。通过对负载需求和发电量进行数值模拟,证明了所建议的充放电控制器系统的有效性。在模拟负载条件下,对建议控制器的性能进行了评估。试验的成功结果证实了该模型调节电池充放电的能力。输出结果显示,电池的充电状态(SOC)从未超过该特定类型电池 20% 至 80% 的安全范围。本研究的主要成果是建立了一个新的模糊模型和一个用于调节电池充放电的实时运行系统。
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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CiteScore
1.70
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