Journal
JOURNAL OF POWER SOURCES
Volume 255, Issue -, Pages 85-100Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jpowsour.2013.12.134
Keywords
Lithium ion battery; Electrochemical model; Battery management systems; Model blending; Transcendental transfer function; Model order reduction
Funding
- General Motors/University of Michigan Advanced Battery Coalition for Drivetrains (GM/UM ABCD)
- College of Engineering and Applied Science, University of Colorado Colorado Springs
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In a previous paper, we developed a method to produce a physics-based one-dimensional discrete-time state-space reduced-order model (ROM) of a lithium-ion cell. The method relies on linearizing the standard porous-electrode equations around a fixed state-of-charge (SOC) and operating temperature setpoint. The ROM is able to track a highly dynamic input accurately near the linearization setpoint, but its performance degrades as either the cell's SOC or temperature move away from this linearization point. This paper describes a way to extend the accuracy of the ROM over a wide range of SOCs and temperatures using a model-blending approach. Our results demonstrate that the approach accurately models the cell's voltage and internal electrochemical variables over a wide range of temperature and SOC, with little added computational complexity. (C) 2014 Elsevier B.V. All rights reserved.
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