Abstract: A molecular dynamics system employing a spliced soft-core potential (the “MD/SSCP”) facilitates studying the arrangement of particles in an enclosure and/or near an interface. In some embodiments, the MD/SSCP initializes a three-dimensional representation containing the enclosure and the particles in a first arrangement. The MD/SSCP conducts a first simulation to transition the representation to a second arrangement, during which the particles are allowed to move through a wall of the enclosure while the SSCP is unengaged. The MD/SSCP conducts a second simulation to transition the representation to a third arrangement, during which it becomes more difficult for the particles to move through the wall of the enclosure while the SSCP is gradually engaged. The MD/SSCP conducts a third simulation to transition the representation to a fourth arrangement of the particles, during which it becomes almost impossible for the particles to move through the wall of the enclosure.

Abstract: A molecular dynamics system employing a spliced soft-core potential (the “MD/SSCP”) facilitates studying the arrangement of particles in an enclosure and/or near an interface. In some embodiments, the MD/SSCP initializes a three-dimensional representation containing the enclosure and the particles in a first arrangement. The MD/SSCP conducts a first simulation to transition the representation to a second arrangement, during which the particles are allowed to move through a wall of the enclosure while the SSCP is unengaged. The MD/SSCP conducts a second simulation to transition the representation to a third arrangement, during which it becomes more difficult for the particles to move through the wall of the enclosure while the SSCP is gradually engaged. The MD/SSCP conducts a third simulation to transition the representation to a fourth arrangement of the particles, during which it becomes almost impossible for the particles to move through the wall of the enclosure.

Abstract: System and methods for estimating a life of a battery pack are presented. In certain embodiments, a method for estimating a life of a battery pack may include generating cell-level test data that includes measured parameters a of battery cell included in the battery pack in response to a plurality of test conditions. One or more first thermal response parameters associated with the battery cells of the battery pack may be determined. A battery cell aging model may be generated based, at least in part, on the cell-level test data and the one or more first thermal response parameters. Second thermal response parameters associated with the battery pack may be determined, and an estimated life of the battery pack may be determined based, at least in part, on the battery cell aging model and the second thermal response parameters.

Abstract: System and methods for estimating a life of a battery pack are presented. In certain embodiments, a method for estimating a life of a battery pack may include generating cell-level test data that includes measured parameters a of battery cell included in the battery pack in response to a plurality of test conditions. One or more first thermal response parameters associated with the battery cells of the battery pack may be determined. A battery cell aging model may be generated based, at least in part, on the cell-level test data and the one or more first thermal response parameters. Second thermal response parameters associated with the battery pack may be determined, and an estimated life of the battery pack may be determined based, at least in part, on the battery cell aging model and the second thermal response parameters.