1 |
M. A. Hannan, M. S. H. Lipu, A. Hussain and A. Mohamed, "A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations," Renewable and Sustainable Energy Reviews, Vol.78, pp.834-854, 2017. DOI: 10.1016/j.rser.2017.05.001
DOI
|
2 |
K. S. Ng, C.S. Moo, Y. P. Chen and Y. C. Hsieh, "Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries," Applied Energy, Vol.86, pp.1506-1511, 2009. DOI: 10.1016/japenergy.2008.11.021
DOI
|
3 |
Y. Jeong, Y. Cho, J. Ahn, S. Ryu and B. Lee, "Enhanced coulomb counting method with adaptive SOC reset time for estimating OCV," 2014 IEEE Energy Conversion Congress and Exposition (ECCE), Pittsburgh, PA, pp.1313-1318, 2014. DOI: 10.1109/ECCE.2014.6953989
|
4 |
M. U. Ali, A. Zafar, S. H. Nengroo, S. Hussain, M. J. Alvi and H. J. Kim, "Towards a smarter battery management system for electric vehicle applications: A critical review of lithium-Ion battery state of charge estimation," Energies, Vol.12, No.3, 2019. DOI: 10.3390/en12030446
|
5 |
B. Enache and E. Diaconescu, "Estimating a bettery state of charge using neural networks," International Symposium on Fundamentals of Electrical Engineering, pp.1-6, 2014. DOI: 10.1109/ISFEE.2014.7050636
|