Optimized battery energy management using an improved type-2 fuzzy logic approach
- DOI
- 10.1038/s41598-026-41490-7
- Published
- 2026-02-28
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-41490-7,
title = {Optimized battery energy management using an improved type-2 fuzzy logic approach},
author = {Mohamed Naoui and Mabrouka Romdhane and Abdelmalek Gacem and Lassaad Sbita and Mansoor Alturki and Yasser Almalaq and Abdullah Albaker and Badr M. Alshammari and Tawfik Guesmi},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-41490-7},
url = {https://doi.org/10.1038/s41598-026-41490-7}
}RIS
TY - JOUR TI - Optimized battery energy management using an improved type-2 fuzzy logic approach AU - Mohamed Naoui AU - Mabrouka Romdhane AU - Abdelmalek Gacem AU - Lassaad Sbita AU - Mansoor Alturki AU - Yasser Almalaq AU - Abdullah Albaker AU - Badr M. Alshammari AU - Tawfik Guesmi PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-41490-7 UR - https://doi.org/10.1038/s41598-026-41490-7 ER -
APA
Naoui, M., Romdhane, M., Gacem, A., Sbita, L., Alturki, M., Almalaq, Y., Albaker, A., Alshammari, B. M., & Guesmi, T. (2026). Optimized battery energy management using an improved type-2 fuzzy logic approach. Scientific Reports. https://doi.org/10.1038/s41598-026-41490-7
Source records
- crossref · retrieved 2026-11-07T03:36:24.006Z