Development of Fast One-Dimensional Model for Prediction of Coupled Electrochemical-Thermal Behavior of Lithium-Ion Batteries
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Date
2013-05
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Publisher
The Ohio State University
Abstract
Spatially and temporally resolved one-dimensional transient models for the prediction of
performance of lithium-ion batteries have been prevalent in the literature for over a decade. It is
generally believed that such models that take into account the detailed mass transfer and
electrochemistry within the battery are unsuitable for real-time control of batteries. As a result,
several attempts have also been made to develop reduced-order approximate models that are
suitable for real-time control. While these reduced models are efficient, they fail in non-linear
regimes of operation. In this thesis, it will be shown that full spatial and temporal resolution of
the battery with the inclusion of detailed transport phenomena and electrochemistry is possible
with faster-than-real-time computing times provided appropriate numerical techniques are
employed. The model presented here employs the same governing conservation equations of
mass, energy, and charge as employed in previous studies. Only, the numerical procedure and
solution algorithms are different. These are presented in some detail. The model was first
successfully validated against experimental data for both charge and discharge processes in a
— battery. Finally, it was demonstrated for an arbitrary load typical of a hybrid
electric vehicle drive cycle. The model was able to predict the cell voltage of a 15-minute drive
cycle in less than 9 minutes of compute time on a laptop with a 2.3 GHz Intel i7 processor.
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Keywords
Lithium-ion Battery, Computational Model, Hybrid Electric Vehicle