期刊
JOURNAL OF POWER SOURCES
卷 285, 期 -, 页码 374-384出版社
ELSEVIER
DOI: 10.1016/j.jpowsour.2015.03.074
关键词
Model predictive control; Lithium ion battery; Equivalent circuit model; Battery management systems
资金
- Advanced Research Projects Agency-Energy (ARPA-E), U.S. Department of Energy [DE-AR0000271]
- General Motors/University of Michigan Advanced Battery Coalition for Drivetrains (GM/UM ABCD)
- College of Engineering and Applied Science, University of Colorado Colorado Springs
This paper introduces a novel application of model predictive control (MPC) to cell-level charging of a lithium-ion battery utilizing an equivalent circuit model of battery dynamics. The approach employs a modified form of the MPC algorithm that caters for direct feed-though signals in order to model near-instantaneous battery ohmic resistance. The implementation utilizes a 2nd-order equivalent circuit discrete-time state-space model based on actual cell parameters; the control methodology is used to compute a fast charging profile that respects input, output, and state constraints. Results show that MPC is well-suited to the dynamics of the battery control problem and further suggest significant performance improvements might be achieved by extending the result to electrochemical models. (C) 2015 Elsevier B.V. All rights reserved.
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