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Fuzzy Diagnostic System for EV Traction Battery Pack

机译：电动汽车牵引电池组模糊诊断系统

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摘要

This paper proposes an evolutionary fuzzy system for fault diagnosis of battery packs used in electricrnvehicles. Based on the knowledge of battery and experience of engineers in the field of electric vehicles,rninput and output variables are carefully selected in the proposed system to represent the characteristics ofrnthe battery packs. In the design process, a set of basic (primitive) expert rules is defined by batteryrnengineers and is used for the initialization of the evolutionary process. A typical three-component fuzzyrnsystem paradigm is chosen that consists of fuzzification, inference engine with fuzzy rules, andrndefuzzification. In this paper, a genetic algorithm is used to optimize the proposed fuzzy system. Thisrndesign process can simultaneously evolve the fuzzy membership functions, fuzzy rule set and weights ofrneach rule based on input-output training data. A case study of the diagnostic system design for lead-acidrnbattery packs is presented. The simulation results show the optimized fuzzy diagnostic system producesrnvery good outputs that match the target data collected from the vehicle test. The evolved fuzzy system isrnmuch more effective in comparison to the fuzzy system defined and tuned by the battery experts. Thernmethod can be applied to other battery chemistries and energy storage devices.
机译：本文提出了一种用于汽车电池组故障诊断的进化模糊系统。基于电池的知识和电动汽车领域的工程师的经验，在建议的系统中精心选择了输入和输出变量以代表电池组的特性。在设计过程中，电池工程师定义了一组基本（原始）专家规则，并将它们用于进化过程的初始化。选择了一个典型的三成分模糊系统范式，该范式由模糊化，具有模糊规则的推理引擎和去模糊化组成。本文采用遗传算法对所提出的模糊系统进行优化。该设计过程可以基于输入输出训练数据同时演化模糊隶属函数，模糊规则集和每个规则的权重。介绍了铅酸电池组诊断系统设计的案例研究。仿真结果表明，优化后的模糊诊断系统产生了很好的输出，与车辆测试收集的目标数据相匹配。与电池专家定义和调整的模糊系统相比，改进后的模糊系统更加有效。该方法可以应用于其他电池化学和能量存储设备。

著录项

  • 来源
  • 会议地点 Berlin(DE);Berlin(DE)
  • 作者

    Yuan Zhu; Xiong Lin; Yaobin Chen; Russ Eberhart; Ron Brost; Derek Dexter;

  • 作者单位

    Department of Electrical and Computer Engineering Purdue School of Engineering and Technology, IUPUI 723 West Michigan Street, SL 160rnIndianapolis, Indiana 46202, U.S.A;

    rnDepartment of Electrical and Computer Engineering Purdue School of Engineering and Technology, IUPUI 723 West Michigan Street, SL 160rnIndianapolis, Indiana 46202, U.S.A;

    rnDepartment of Electrical and Computer Engineering Purdue School of Engineering and Technology, IUPUI 723 West Michigan Street, SL 160rnIndianapolis, Indiana 46202, U.S.A. Phone: 1-317-274-4032, Fax: 1-317-274-4493 Email: ychen@iupui.edu;

    rnDepartment of Electrical and Computer Engineering Purdue School of Engineering and Technology, IUPUI 723 West Michigan Street, SL 160rnIndianapolis, Indiana 46202, U.S.A;

    rnFord Motor Company 15050 Commerce Drive North Dearborn, MI 48120, U.S.A;

    rnFord Motor Company 15050 Commerce Drive North Dearborn, MI 48120, U.S.A;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 化学电源、电池、燃料电池;
  • 关键词

    lead-acid battery; fuzzy system; genetic algorithm; and battery diagnostic system;

    机译：铅酸电池；模糊系统；遗传算法；电池诊断系统;

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