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Battery state of charge (SOC) estimation with the fuzzy logic approach.

机译:使用模糊逻辑方法估算电池的充电状态(SOC)。

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摘要

In today's automobile world, electric and hybrid electric vehicles (EVs and HEVs) are revolutionary inventions; their heart is the battery, which is a constant source for the vehicle to run. In short, if we know the amount of charge left in the battery then we can easily predict the performance of EVs and HEVs and for that there are many techniques available in the current world, which are included in the upcoming chapters. While dealing with the estimation of the state of charge of a battery, the conventional methods like direct method or coulomb counting or even with the specific gravity method the factor of inaccuracy will always remain in existence and it will cause error sum results. Above all, the battery aging is also an important factor.;The emphasis of this work lies in the estimation of SOC with the fuzzy logic approach. Fuzzy logic approach is accurate, robust, and feasible to implement in most cases. Here, we generate a pulse with the use of 555timer and LM317 voltage regulator circuit and will give the pulse to the battery which is constantly discharging. The voltage response is being measured by an oscilloscope. Through the process three input variables, mean voltage, the difference of maximum voltage and mean voltage, and the difference of mean voltage and minimum voltage, we will have the SOC. That can be done by giving the three inputs to the Handy Board, which is a useful device for any embedded control system application. The Handy Board works on the Interactive C, which is the application based C language. Next we will download the Interactive C program in the Handy Board, which has the fuzzy based logic and processes the given data and generates the output in terms of the state of charge of the battery. This simulation in the proposed work is done with the VC++ program and Interactive C program. The results are useful in analyzing the accuracy of such models compared to other techniques.
机译:在当今的汽车世界中,电动和混合电动汽车(EV和HEV)是革命性的发明。他们的心脏是电池,这是车辆行驶的恒定来源。简而言之,如果我们知道电池中剩余的电量,那么我们可以轻松地预测电动汽车和混合动力汽车的性能,为此,在当前的世界中有很多可用的技术,这些技术将在接下来的章节中介绍。在估计电池的充电状态时,传统方法(例如直接方法或库仑计数)或什至使用比重方法都会始终存在不精确因素,这将导致误差和结果。首先,电池老化也是一个重要因素。这项工作的重点在于用模糊逻辑方法估算SOC。在大多数情况下,模糊逻辑方法是准确,可靠且可行的。在这里,我们使用555定时器和LM317稳压器电路生成一个脉冲,并将该脉冲提供给不断放电的电池。示波器正在测量电压响应。通过处理三个输入变量,即平均电压,最大电压和平均电压的差以及平均电压和最小电压的差,我们将获得SOC。可以通过将三个输入信号提供给Handy Board来完成,Handy Board对于任何嵌入式控制系统应用都是有用的设备。 Handy Board在交互式C(基于应用程序的C语言)上工作。接下来,我们将在Handy Board中下载Interactive C程序,该程序具有基于模糊的逻辑并处理给定的数据,并根据电池的充电状态生成输出。拟议工作中的仿真是使用VC ++程序和Interactive C程序完成的。与其他技术相比,该结果可用于分析此类模型的准确性。

著录项

  • 作者

    Trivedi, Darshankumar R.;

  • 作者单位

    Lamar University - Beaumont.;

  • 授予单位 Lamar University - Beaumont.;
  • 学科 Engineering Electronics and Electrical.;Artificial Intelligence.;Energy.
  • 学位 M.E.S.
  • 年度 2007
  • 页码 76 p.
  • 总页数 76
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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