Bhardwaj, T., Kale, V., Ballal, M. S., & Khond, S. (2025). Operational machine learning based approach for effective state-of-charge estimation in Li-ion batteries. Ionics: International Journal of Ionics – The Science and Technology of Ionic Motion, 1-17. https://doi.org/10.1007/s11581-025-06757-5

BHARDWAJ, Tikam, KALE, Vijay, BALLAL, Makarand Sudhakar und KHOND, Sudarshan, 2025. Operational machine learning based approach for effective state-of-charge estimation in Li-ion batteries. Ionics: International Journal of Ionics – The Science and Technology of Ionic Motion. 13 November 2025. P. 1-17. DOI 10.1007/s11581-025-06757-5.

Bhardwaj, T., V. Kale, M. S. Ballal, und S. Khond. „Operational Machine Learning Based Approach for Effective State-of-Charge Estimation in Li-Ion Batteries“. Ionics: International Journal of Ionics – The Science and Technology of Ionic Motion, November 2025, S. 1-17, https://doi.org/10.1007/s11581-025-06757-5.

Bhardwaj, Tikam/Kale, Vijay/Ballal, Makarand Sudhakar/Khond, Sudarshan: Operational machine learning based approach for effective state-of-charge estimation in Li-ion batteries, Ionics: International Journal of Ionics – The Science and Technology of Ionic Motion 2025, 1-17.

Bhardwaj, T., Kale, V., Ballal, M.S. und Khond, S. (2025), „Operational machine learning based approach for effective state-of-charge estimation in Li-ion batteries“, Ionics: International Journal of Ionics – The Science and Technology of Ionic Motion, S. 1-17.