Open Access
Issue
E3S Web Conf.
Volume 399, 2023
International Conference on Newer Engineering Concepts and Technology (ICONNECT-2023)
Article Number 01008
Number of page(s) 7
Section Electronics and Electical Engineering
DOI https://doi.org/10.1051/e3sconf/202339901008
Published online 12 July 2023
  1. Chun, C. Y., Cho, B. H., & Kim, J. (2015). State-of-charge and remaining charge estimation of series-connected lithium-ion batteries for cell balancing scheme. 2015 IEEE International Telecommunications Energy Conference (INTELEC). DOI: 10.1109/intlec.2015.7572280 [Google Scholar]
  2. Dalala, Z., Saadeh, O., & Hussein, A. A. (2019). A Current Sensorless Coulomb- Counting Method for Enhanced Battery State-of-Charge Estimation Accuracy. 2019 IEEE Energy Conversion Congress and Exposition (ECCE). DOI: 10.1109/ecce.2019.8913024 [Google Scholar]
  3. Faisal, M., Hannan, M. A., Ker, P. J., Hossain Lipu, M. S., & Uddin, [Google Scholar]
  4. M. N. (2021). Fuzzy-Based Charging-Discharging Controller for Lithium-Ion Battery in Microgrid Applications. IEEE Transactions on Industry Applications, 57(4), 4187–4195. DOI: 10.1109/tia.2021.3072875 [CrossRef] [Google Scholar]
  5. Song, Y., Park, M., Seo, M., & Kim, S. W. (2019). Improved SOC estimation of lithium-ion batteries with novel SOC-OCV curve estimation method using equivalent circuit model. 2019 4th International Conference on Smart and Sustainable Technologies (SpliTech). DOI: 10.23919/splitech.2019.8783149 [Google Scholar]
  6. Makni, W., Ben Hadj, N., Samet, H., & Neji, R. (2016). Design simulation and realization of solar battery charge controller using Arduino Uno. 2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). DOI: 10.1109/sta.2016.7952093 [Google Scholar]
  7. Lan, C.-W., Lin, S.-S., Syue, S.-Y., Hsu, H.-Y., Huang, T.-C., & Tan, K.-H. (2017). Development of an intelligent lithium-ion battery- charging management system for electric vehicle. 2017 International [Google Scholar]

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