Numerical simulation and design of multifunctional structural batteries
- Multifunctional materials have been widely used in electrical applications because it has been demonstrated that high-strength composites can be integrated with active live battery material. This allows high strength and high energy density storage structures that can meet the transportation requirements on mobility and energy density. However, the design of multifunctional material requires fundamental understanding of the mechanical behavior of the integrated structural battery systems under various loading and environmental conditions. Characterization of this new class of multifunctional material becomes challenging without an adequate simulation model to guide the tests and to validate the results. The primary objective of this investigation is to develop the mechanical simulation and design of multifunctional battery systems, in particular Multifunctional Energy Storage Composites (MESC). It consists of multiple thin battery layers, polymer reinforcements, and carbon fiber composites. The combination of them poses significant challenges in simulation and modeling. To tackle these issues, homogenization techniques were adopted to characterize the multi-layer structure of the battery material with physics-based constitutive equations. Non-linear deformation theories are used to handle the interface between the battery layers. Second, mechanical and failure modes among battery materials, polymer reinforcements and composite-polymer interfaces were characterized by developing appropriate models and experiments. The numerical model of MESC has been implemented in a commercial finite element code. A comparison of the structural response and the failure modes between numerical simulation results and experimental test data will be presented. The results of the study have demonstrated that the prediction of elastic and damage responses of MESC at various loading conditions agree with the experimental results. With appropriate material property parameters determined from model calibration, this multi-physics model can be used as a necessary tool to understand and to govern the design of MESC for many applications.
|Type of resource
|electronic resource; remote; computer; online resource
|1 online resource.
|Wang, Yinan, (Researcher in multifunctional materials)
|Degree committee member
|Degree committee member
|Stanford University, Department of Aeronautics & Astronautics.
|Statement of responsibility
|Submitted to the Department of Aeronautics & Astronautics.
|Thesis Ph.D. Stanford University 2019.
- © 2019 by Yinan Wang
Also listed in
Loading usage metrics...