Dao, V.Q.; Dinh, M.-C.; Kim, C.S.; Park, M.; Doh, C.-H.; Bae, J.H.; Lee, M.-K.; Liu, J.; Bai, Z.
Design of an Effective State of Charge Estimation Method for a Lithium-Ion Battery Pack Using Extended Kalman Filter and Artificial Neural Network. Energies 2021, 14, 2634.
https://doi.org/10.3390/en14092634
AMA Style
Dao VQ, Dinh M-C, Kim CS, Park M, Doh C-H, Bae JH, Lee M-K, Liu J, Bai Z.
Design of an Effective State of Charge Estimation Method for a Lithium-Ion Battery Pack Using Extended Kalman Filter and Artificial Neural Network. Energies. 2021; 14(9):2634.
https://doi.org/10.3390/en14092634
Chicago/Turabian Style
Dao, Van Quan, Minh-Chau Dinh, Chang Soon Kim, Minwon Park, Chil-Hoon Doh, Jeong Hyo Bae, Myung-Kwan Lee, Jianyong Liu, and Zhiguo Bai.
2021. "Design of an Effective State of Charge Estimation Method for a Lithium-Ion Battery Pack Using Extended Kalman Filter and Artificial Neural Network" Energies 14, no. 9: 2634.
https://doi.org/10.3390/en14092634
APA Style
Dao, V. Q., Dinh, M. -C., Kim, C. S., Park, M., Doh, C. -H., Bae, J. H., Lee, M. -K., Liu, J., & Bai, Z.
(2021). Design of an Effective State of Charge Estimation Method for a Lithium-Ion Battery Pack Using Extended Kalman Filter and Artificial Neural Network. Energies, 14(9), 2634.
https://doi.org/10.3390/en14092634