scispace - formally typeset
M

M. Scott Trimboli

Researcher at University of Colorado Colorado Springs

Publications -  32
Citations -  527

M. Scott Trimboli is an academic researcher from University of Colorado Colorado Springs. The author has contributed to research in topics: Battery (electricity) & Model predictive control. The author has an hindex of 8, co-authored 27 publications receiving 272 citations. Previous affiliations of M. Scott Trimboli include University of Colorado Boulder.

Papers
More filters
Journal ArticleDOI

Pseudo-two-dimensional model and impedance diagnosis of micro internal short circuit in lithium-ion cells

TL;DR: In this paper, a pseudo-two-dimensional model of micro internal short circuit (ISCr) cells was built to make up for the gaps between equivalent circuit models and three-dimensional physics-based models to reveal the phenomenon of electric quantity depletion and the variation of internal electrochemical parameters.
Journal ArticleDOI

Electrochemical state and internal variables estimation using a reduced-order physics-based model of a lithium-ion cell and an extended Kalman filter

TL;DR: In this article, the present value of electrochemical internal variables in a lithium-ion cell was estimated using readily available measurements of cell voltage, current, and temperature, using an extended Kalman filter along with a one-dimensional physics-based reduced-order model of cell dynamics.
Journal ArticleDOI

Lithium-ion battery cell-level control using constrained model predictive control and equivalent circuit models

TL;DR: In this article, a model predictive control (MPC) algorithm is applied to cell-level charging of a lithium-ion battery utilizing an equivalent circuit model of battery dynamics, which is used to compute a fast charging profile that respects input, output and state constraints.
Journal ArticleDOI

A control-oriented electrochemical model for lithium-ion battery. Part II: Parameter identification based on reference electrode

TL;DR: In this article, a lumped-parameter electrochemical model was built with the redundant/unobservable parameters removed, and a stepwise method was proposed to identify the whole set of parameter values for a physical cell using simple tests.
Journal ArticleDOI

A control-oriented electrochemical model for lithium-ion battery, Part I: Lumped-parameter reduced-order model with constant phase element

TL;DR: This paper reformulate the original electrochemical model using lumped parameters to produce a full-order model (FOM) with the number of parameters reduced from 36 down to 24, and a series of lumped-parameter transfer functions are derived using only the required assumption of linearity.