Design and Evaluation of a Cost-Effective Battery Management System for CERYAN Using Nuvoton
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- [1] Patil, S. D., Dharan, S. R., MR, D. & SR, B. S. (2023). Battery Management System (BMS80) to Improve Battery Life in Electric Vehicles. Computational Learning & Intelligence Computational Learning & Intelligence, 2(2), Accessed: Nov. 13, 2024. [Online]. Available: https://milestoneresearch.in/JOURNALS/index.php/IJCLI/article/view/82
- [2] Bhuvaneswari, S., Mohan, A. & Sundaram, A. (2024). Improved BMS: A Smart Electric Vehicle Design based on an Intelligent Battery Management System. 2024 International Conference on Inventive Computation Technologies (ICICT), IEEE, 1999-2006.
- [3] Liu, Q. & Chen, G. (2023). Design of Electric Vehicle Battery Management System. 2023 International Conference on Power, Grid and Energy Storage, Journal of Physics: Conference Series, IOP Publishing, 2614, 012001.
- [4] Pradhan, S. K. & Chakraborty, B. (2022). Battery management strategies: An essential review for battery state of health monitoring techniques. Journal of Energy Storage, 51, 104427.
- [5] Raghavan, A., Kiesel, P., Sommer, L. W., Schwartz, J., Lochbaum, A., Hegyi, A., Schuh, A., Arakaki, K., Saha, B., Ganguli, A., Kim, K. H., Kim, C., Hah, H. J., Kim, S., Hwang, G.- O., Chung, G.-C., Choi, B. & Alamgir, M. (2017). Embedded fiber-optic sensing for accurate internal monitoring of cell state in advanced battery management systems part 1: Cell embedding method and performance. Journal of Power Sources, 341, 466-473A.
- [6] Lin, Q., Wang, J., Xiong, R., Shen, W. & He, H. (2019). Towards a smarter battery management system: A critical review on optimal charging methods of lithium ion batteries. Energy, Elsevier, 183(C), 220-234.
- [7] Raoofi, T. & Yildiz, M. (2023). Comprehensive review of battery state estimation strategies using machine learning for battery Management Systems of Aircraft Propulsion Batteries. Journal of Energy Storage, 59, 106486.
- [8] How, D. N. T., Hannan, M. A., Lipu, M. S. H., Sahari, K. S. M., Ker, P. J. & Muttaqi, K. M. (2020). State-of-Charge Estimation of Li-Ion Battery in Electric Vehicles: A Deep Neural Network Approach. IEEE Transactions on Industry Applications, 56(5), 5565-5574.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Elektrik Mühendisliği (Diğer)
Bölüm
Araştırma Makalesi
Yazarlar
Seda Kul
*
0000-0001-8278-4723
Türkiye
Erken Görünüm Tarihi
30 Ekim 2025
Yayımlanma Tarihi
31 Aralık 2025
Gönderilme Tarihi
17 Kasım 2024
Kabul Tarihi
29 Temmuz 2025
Yayımlandığı Sayı
Yıl 2025 Cilt: 18 Sayı: 3