Showing 4 results for Researcher: Srdjan Simunovic
November 1, 2021
1 MIN READ
Oak Ridge National Laboratory, University of Tennessee and University of Central Florida researchers released a new high-performance computing code designed to more efficiently examine power systems and identify electrical grid disruptions, such as
November 1, 2021
2 MIN READ
A multi-institutional team of ORNL has utilized the latest computational algorithms and parallelization techniques to enable faster than real-time simulations and applied it to the power system network whose time-domain model represents very large and highly nonlinear differential-algebraic equations (DAEs) with fast dynamic characteristics.
April 22, 2019
3 MIN READ
This work studies deformation of EV battery module under external mechanical loading and effect of inactive module components on module failure. Contrary to expectation it was revealed that aluminum cooling plates reduce the force of indentation (by a factor of 1.6), due to collapse of cooling channels and plastic deformation in aluminum. At the same time, the internal short circuit in the cells was registered at a consistent displacement of the indenter which indicated that the failure criterion (or cell safety criterion) should be formulated in terms of strain. We selected the first principal strain in separator as a variable for the failure criterion and performed finite element simulations of the battery module structure under spherical indentation. The model was able to predict force-displacement history as well as failure point in a battery module.
January 4, 2017
3 MIN READ
Researchers at the US Department of Energy’s (DOE) Oak Ridge National Laboratory (ORNL) have developed a way to better track the movement and amount of lithium during battery cycling using computational modeling, neutron imaging, and neutron diffraction—all part of an effort to develop more efficien...