과제정보
Following are results of a study on the "Leaders in INdustry-university Cooperation 3.0" Project, supported by the Ministry of Education and National Research Foundation of Korea.
참고문헌
- S.-B. Kim and S.-H. Lee, "Design and Development of a Public Waste Battery Diagnostic Device." International Journal of Advanced Culture Technology, Vol. 10, No. 3, pp. 281-86. September 30, 2022. DOI:10.17703/IJACT.2022.10.3.281.
- S.-B. Kim and S.-H. Lee, "Development of Aging Diagnosis Device Through Real-Time Battery Internal Resistance Measurement." International Journal of Internet, Broadcasting and Communication, Vol. 14, No. 2, pp. 129-35, May 31, 2022. DOI:10.7236/IJIBC.2022.14.2.129.
- S.-B. Kim and S.-H. Lee, "Battery Balancing Algorithm for an Agricultural Drone Using a State-of-Charge-Based Fuzzy Controller" Applied Sciences, Vol. 10, No. 15: pp. 5277, 2022. DOI: https://doi.org/10.3390/app10155277
- S.-B. Kim and S.-H. Lee, "Design and development of less than 1Kw Lithium rechargeable battery pack," International journal of internet, broadcasting and communication (IJIBC), Vol. 10, No. 3, pp. 104-108, 2018. DOI : 10.7236/IJIBC.2018.10.3.104
- J. S. Jung, S. K. Jung and T. M. Roh, "Battery State-of-Health Estimation Using Machine Learning and Preprocessing with Relative State-of-Charge," Energies, Vol. 14, pp. 7206, 2021. DOI: https://doi.org/10.3390/en14217206
- T. Cao, Y. Zheng and H. Dong, "Control of odor emissions from livestock farms: A review," Environmental Research, Vol. 225, pp. 115545, May 2023. DOI: https://doi.org/10.1016/j.envres.2018.06.039.
- P. Sharma, B. J. Bora, "A Review of Modern Machine Learning Techniques in the Prediction of Remaining Useful Life of Lithium-Ion Batteries," Batteries, Vol. 9, No. 1, pp. 13, 2023. DOI: https://doi.org/10.3390/batteries9010013.
- Y. Zhou and M. Huang, "On-board capacity estimation of lithium-ion batteries based on charge phase," Journal of Electrical Engineering & Technology, vol. 13, no.2, pp. 733-741, 2018.