Tingbari, V. M., Ekuewa, O. I., Nagar, A., Abbas, A., Umar, J., Zhang, Y., . . . Kim, J. (2025). Machine Learning Approach for Accurate Lithium-Ion Battery Temperature Prediction Using Electrochemical Features Independent of Battery SOC and SOH. 2025 IEEE Applied Power Electronics Conference and Exposition (APEC), Applied Power Electronics Conference and Exposition (APEC), 2025 IEEE, 2973-2980. https://doi.org/10.1109/APEC48143.2025.10977233
Chicago-referens (17:e uppl.)Tingbari, Vincent Masabiar, Oluwaseun Isaiah Ekuewa, Anshul Nagar, Asad Abbas, Jamil Umar, Yuxin Zhang, Woonki Na, och Jonghoon Kim. "Machine Learning Approach for Accurate Lithium-Ion Battery Temperature Prediction Using Electrochemical Features Independent of Battery SOC and SOH." 2025 IEEE Applied Power Electronics Conference and Exposition (APEC), Applied Power Electronics Conference and Exposition (APEC), 2025 IEEE 2025: 2973-2980. https://doi.org/10.1109/APEC48143.2025.10977233.
MLA-referens (9:e uppl.)Tingbari, Vincent Masabiar, et al. "Machine Learning Approach for Accurate Lithium-Ion Battery Temperature Prediction Using Electrochemical Features Independent of Battery SOC and SOH." 2025 IEEE Applied Power Electronics Conference and Exposition (APEC), Applied Power Electronics Conference and Exposition (APEC), 2025 IEEE, 2025, pp. 2973-2980, https://doi.org/10.1109/APEC48143.2025.10977233.
