21 Sep 2017
State of charge classification for lithium-ion batteries using impedance based features
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Cited articles
Chang, W.-Y.: The State of Charge Estimating Methods for Battery: A Review, ISRN Applied Mathematics, 2013, 953792, https://doi.org/10.1155/2013/953792, 2013.
de la O Serna, J. A. and Rodríguez, J.: Dynamic Phasor Estimates for Power System Oscillations, IEEE Transactions on Instrumentation and Measurement, 56, 1648–1657, https://doi.org/10.1109/TIM.2007.904546, 2007.
European Parliament: Regulation (EU) No. 333/2014, European Commision, available at: http://ec.europa.eu/clima/policies/transport/vehicles/cars/ (last access: December 2016), 2014.
Fahrmeir, L., Heumann, C., Künstler, R., Pigeot, I., and Tutz, G.: Statistik, Springer-Verlag, 8. edn., https://doi.org/10.1007/978-3-662-50372-0, 2016.
Feng, F., Lu, R., Wei, G., and Zhu, C.: Online Estimation of Model Parameters and State of Charge of LiFePO4 Batteries Using a Novel Open-Circuit Voltage at Various Ambient Temperatures, Energies, 8, 2950–2976, https://doi.org/10.3390/en8042950, 2015.
