Multiobjective topology optimization of anode structures for lithium-ion batteries

锂离子电池负极结构的多目标拓扑优化

• 批准号: 383779906
• 负责人: Professorin Dr.-Ing. Kerstin Weinberg
• 金额: --
• 依托单位: Department Maschinenbau
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2018
• 资助国家: 德国
• 起止时间: 2017-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/383779906?language=en
• 关键词: Multiobjective; topology; optimization; anode; structures

With the raising demand for portable consumer electronics and electrically driven vehicles comes an increased need for onboard energy storage, and lithium batteries are becoming the storage method of choice. In order to deploy high capacity silicon as a new anode material, the anode structure must adequately accommodate the large volume expansion upon lithiation. The design must also maximize electrical conduction through the structure to ensure good rate capability of the battery and it has to meet the life expectation requirements of a long time use. This requires an optimized anode design. To date, however, there have been no instances of design or topology optimization methods being applied to the silicon anode problem.The goal of the proposed research project is to develop an optimization tool for the design of silicon anodes within lithium-ion batteries. To utilize silicon as an anode material, the above mentioned competing design requirements must be incorporated in an adequate optimization strategy. The large volume expansion upon lithiation requires to extend the conventional topology optimization formulations to full finite kinematics. The demand for maximized electrical conduction through the structure is clearly competing with mechanical stability. Additionally, the strength, structural integrity and life expectation of the batteries are to be maximized and an additional objective of the proposed work will therefore be to extend topology optimization so as to account for accumulated damage. Within the advised project we will provide a novel numerical tool for the design of battery anodes using multi-objective topology optimization beyond traditional algorithms and with multiple competing objectives.

随着便携式消费电子产品和电动汽车需求的增加，对车载能量存储的需求也在增加，锂电池正成为首选的存储方法。为了部署高容量硅作为新的阳极材料，阳极结构必须充分适应锂化时的大体积膨胀。该设计还必须最大化通过结构的电传导，以确保电池的良好倍率性能，并且必须满足长时间使用的预期寿命要求。这需要优化的阳极设计。然而，到目前为止，还没有设计或拓扑优化方法应用于硅阳极problem的实例。拟议的研究项目的目标是开发一种优化工具，用于锂离子电池内硅阳极的设计。为了利用硅作为阳极材料，必须将上述竞争设计要求结合到适当的优化策略中。锂化后的大体积膨胀需要将常规拓扑优化公式扩展到完全有限运动学。对通过结构的最大化电传导的需求显然与机械稳定性竞争。此外，电池的强度、结构完整性和预期寿命将最大化，因此，拟议工作的另一个目标是扩展拓扑优化，以考虑累积损伤。在建议的项目中，我们将提供一种新的数值工具，用于使用超越传统算法的多目标拓扑优化设计电池阳极，并具有多个竞争目标。