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Optimisation of Weld Seam Configurations Using a Genetic Algorithm

机译:遗传算法优化焊缝构型

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The main task of high performance electrical contacts is the transmission of electrical power with low power dissipation. The decisive value to calculate the electrical losses of a contact is the resistance of the contact configuration. The electrical resistance can be decreased applying laser welded connections. This promising joining technology offers the opportunity to vary the contact area as well as its position in the joining zone. Especially the geometrical shape of the contact area enables a high potential to reduce the contact resistance. This work presents a method to optimise the geometrical shape of the weld seam in order to minimise the resistance of the electrical contact. A solution is proposed to calculate the optimum weld seam shape by the use of a genetic algorithm (GA) linked with an electro-thermal FEM simulation. The genetic algorithm compiles alternative weld seam shapes while the FEM simulation determines their electro-thermal properties. The optimised result is further verified within an experimental study. The proposed method is applied to design the electrical contacts between battery cells of a high voltage automotive battery system for electric and hybrid electric cars.
机译:高性能电触点的主要任务是以低功耗传输电能。计算触点的电损耗的决定性值是触点配置的电阻。使用激光焊接连接可以降低电阻。这种有前途的连接技术提供了改变接触面积及其在连接区域中位置的机会。特别地,接触区域的几何形状使得高电位能够减小接触电阻。这项工作提出了一种优化焊缝几何形状的方法,以最小化电接触的电阻。提出了一种通过遗传算法(GA)结合电热FEM仿真来计算最佳焊缝形状的解决方案。遗传算法可编辑替代的焊缝形状,而FEM仿真则可确定其电热特性。在实验研究中进一步验证了优化结果。所提出的方法被应用于设计用于电动汽车和混合电动汽车的高压汽车电池系统的电池单元之间的电接触。

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