Multiple-Input Single-Output Polynomial Nonlinear State-Space Model of the Li-ion Battery’s Short-term Dynamics
| Autor: | Jean Marc Timmermans, Rishi Relan, Johan Schoukens, Koen Tiels |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Battery (electricity)
0209 industrial biotechnology Polynomial Computer science Frequency domain system identification 020208 electrical & electronic engineering Dynamics (mechanics) Battery 02 engineering and technology Nonlinear state-space models Nonlinear state space model Multiple input Term (time) Ion Nonlinear system 020901 industrial engineering & automation Control and Systems Engineering Control theory 0202 electrical engineering electronic engineering information engineering |
| Zdroj: | Relan, R, Tiels, K, Timmermans, J M & Schoukens, J 2018, ' Multiple-Input Single-Output Polynomial Nonlinear State-Space Model of the Li-ion Battery's Short-term Dynamics ', I F A C Workshop Series, vol. 51, no. 15, pp. 497-502 . https://doi.org/10.1016/j.ifacol.2018.09.194 |
| ISSN: | 2405-8963 |
| DOI: | 10.1016/j.ifacol.2018.09.194 |
| Popis: | A data-driven methodology is proposed to identify a multi-input single-output (MISO) polynomial nonlinear state-space model (PNLSS) for battery's short-term electrical response, starting from the best linear approximation of the electrical impedance at multiple operating conditions. Furthermore, a transient handling methodology is utilised to minimise the effect of transients arising due to concatenating data from multiple experiments during the identification of the PNLSS model. Experimental validation is done using the data acquired from the operating points lying in the nonlinear regime of an almost depleted battery in terms of the state of charge (SoC) i.e. between 2%-10% at temperatures between 5°C-40°C. |
| Databáze: | OpenAIRE |
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