Multi-physics design optimization of structural battery
Multi-physics design optimization of structural battery
复制标题
结构电池多物理场设计优化
DOI：
10.1088/2399-7532/abf158
复制
发表时间：
2021
影响因子：
--
通讯作者：
Najafi, Ahmad Raeisi
中科院分区：
文献类型：
--
作者：
Pejman, Reza;Kumbur, Emin Caglan;Najafi, Ahmad Raeisi
结构电池复合材料是一种新型的多功能轻质材料，在以化学能的形式收集电能方面具有巨大的潜力，同时为系统提供结构完整性。在这项研究中，我们提出了一个结构电池的多物理场设计优化框架。的优化框架的目标是改变的几何特征和材料类型的成分在一个复合层，以最大限度地允许充电电流为一个恒定的充电速率。在这个优化框架中，定义了三组不等式约束，以保持结构电池的轻量化，并确保由于插层过程引起的应力和产生的热量保持较小。我们还考虑了几个设计参数，如复合材料层的几何特征，纤维和LiFePO 4颗粒的体积分数，和材料类型的成分。建议的框架包括一个基于梯度的设计优化方法，能够在任何来源的材料特性，制造工艺，操作条件等的不确定性进行优化过程中，它还包含一个贝叶斯设计优化方案，以选择最佳的候选人的材料组成的结构电池。我们还开发了一个分析灵敏度分析的几个电化学/热/结构响应指标相对于几个几何和材料设计参数的复合材料层。结果表明，通过使用所提出的优化框架，我们能够最大限度地提高允许的充电电流为一个恒定的充电速率在优化的解决方案相比，所考虑的参考设计，同时满足所有规定的约束。此外，我们增加了至少45%的结构电池的设计可靠性相比，确定性的优化解决方案。最后，我们找到了结构电池中纤维和基体的最佳材料类型。
Structural battery composite is a new class of multifunctional lightweight materials with profound potential in harvesting electrical energy in the form of chemical energy, while simultaneously providing structural integrity to the system. In this study, we present a multi-physics design optimization framework for structural battery. The objective of the optimization framework is to change the geometrical features and material types of the constituents in a composite lamina to maximize the allowable charging current for a constant rate of charging. In this optimization framework, three sets of inequality constraints are defined to keep the structural battery lightweight, and make sure that the amount of induced stress and generated heat due to the intercalation process remains small. We have also considered several design parameters such as geometrical features of the composite lamina, volume fractions of fibers and LiFePO 4 particles, and material types of constituents. The proposed framework includes a gradient-based design optimization method with the ability to perform the optimization process under any source of uncertainty in the material properties, manufacturing process, operating conditions, etc. It also contains a Bayesian design optimization scheme to select the best candidate for the materials of the constituents in a structural battery. We also develop an analytical sensitivity analysis of several electrochemical/thermal/structural response metrics with respect to a few geometrical and material design parameters of a composite lamina. The results show that by using the proposed optimization framework, we are able to maximize the allowable charging current for a constant rate of charging in the optimized solution compared to the considered reference designs while satisfying all of the prescribed constraints. Furthermore, we increase the design reliability of structural battery by at least 45% compared to the deterministic optimized solution. Finally, we find the optimized material types for the fiber and matrix in a structural battery.
登录
查看更多内容
插层材料的电化学多孔电极中的电荷转移反应和插层扩散
DOI：
--
发表时间：
1999
期刊：
影响因子：
--
作者：
M. Verbrugge;B. Koch
通讯作者：
B. Koch
网络冗余：冷却网络的关键设计因素
DOI：
--
发表时间：
2020
期刊：
Design Automation Conference
影响因子：
--
作者：
Reza Pejman;A. Najafi
通讯作者：
A. Najafi
碳纤维/聚合物结构微电池中的基体和界面微裂纹
影响因子：
2.9
作者：
Johanna Xu;J. Varna
通讯作者：
J. Varna
影响因子：
13.1
作者：
Carlstedt, David;Asp, Leif E.
通讯作者：
Asp, Leif E.
影响因子：
9.2
作者：
Liu, Ping;Sherman, Elena;Jacobsen, Alan
通讯作者：
Jacobsen, Alan