期刊
IFAC PAPERSONLINE
卷 51, 期 28, 页码 386-391出版社
ELSEVIER
DOI: 10.1016/j.ifacol.2018.11.733
关键词
Input and excitation design; Model formulation; experiment design; Energy storage operation and planning; Electric and solar vehicles
资金
- National Research, Development and Innovation Office - NKFIH [115694, 120422]
- Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences
- New National Excellence Program of the Ministry of Human Capacities [UNKP-17-3]
Li-ion batteries are widely used in EV applications and are imposed to several aging effects during their lifetime. Since battery health cannot be measured directly, information about its health can be obtained by iteratively re-estimating the parameters of the model describing its dynamical behavior. The optimal design of experiments is investigated in this paper. The proposed method applies families of input signals (PRBS current and constant current-constant voltage (CC-CV) signals) to the batteries to estimate the key aging factors. Simulation experiments have been used to analyze the statistical properties of the estimators as a function of the design parameters of the input signal families. The results show that the CC-CV charging-discharging cycle has the possibility to gain the most information out of the battery model parameter estimation. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
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