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Electric Vehicle Battery DisassemblySequence Planning Based onFrame-Subgroup Structure Combinedwith Genetic Algorithm

机译:基于遗传算法的电动车电池拆卸序列规划基于义帧亚组结构

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Since the electric vehicle battery (EVB) is wildly recycled in industry, the disassemblyprocedures of variable EVBs is so important that can influence the efficiency andenvironmental impacts in remanufacturing. To improve disassembly efficiency in EVBremanufacturing, a disassembly sequence planning method based on frame-subgroupstructure is proposed in this paper. Firstly, the improved disassembly relation hybrid graphand disassembly relation matrix are proposed to identify the disassembly precedencerelationship and connection relationship between the components in EVB. Secondly, theframe - subgroup structure is given, and the method for solving disassembly sequenceplanning with frame-subgroup structure and genetic algorithm is introduced. In thismethod, to simplify the series of processes such as encoding, decoding, crossoverand mutation, the solution space composed of all disassembly sequences is transformedinto the positive integer sequence for the disassembly efficiency in batteryremanufacturing. Finally, the case study of EVB disassembly sequence planning ispresented to validate the feasibility of this proposed method. Comparing with othertraditional methods, the advantage and application of this proposed method areintroduced.
机译:由于电动车电池(EVB)在工业中被彻底再循环,可变EVB的拆卸性能是如此重要,这可能影响再制造中的效率。为了提高Evbremanufulup的拆卸效率,本文提出了一种基于帧亚群结构的拆卸序列规划方法。首先,提出了改进的拆卸关系混合图形和拆卸关系矩阵,以识别EVB中组件之间的拆卸前提条件和连接关系。其次,介绍了框架 - 子组结构,并介绍了用帧 - 子组结构和遗传算法求解拆卸序列平面的方法。在这个方法中,为了简化诸如编码,解码,交叉突变的突变的一系列过程,由所有拆卸序列组成的溶液空间是在电池Ummanufuluring中转化为拆卸效率的正整数序列。最后,evb拆卸序列规划的案例研究表现出验证该方法的可行性。与其他方法,介绍了这种提出的方​​法的优点和应用。

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