All Outputs (4)

An improved relative integral capacity-K-means clustering method for capacity pre-sorting of decommissioned power batteries. (2024)
Presentation / Conference Contribution
XU, X., WANG, S., LIU, D., FERNANDEZ, C. and BLAABJERG, F. 2024. An improved relative integral capacity-K-means clustering method for capacity pre-sorting of decommissioned power batteries. Journal of physics: conference series [online], 2853: proceedings of the 7th International conference on mechanical, electric and industrial engineering, 21-23 May 2024, Yichang, China, article number 012057. Available from: https://doi.org/10.1088/1742-6596/2853/1/012057

Capacity sorting is the primary prerequisite for the stepwise utilization of decommissioned power batteries. This study proposes an improved relative integral capacity-K-means clustering (RIC-KMC) method for preliminary sorting of decommissioned powe... Read More about An improved relative integral capacity-K-means clustering method for capacity pre-sorting of decommissioned power batteries..

A novel back propagation neural network-square root cubature Kalman filtering strategy based on fusion dual factor parameter identification for state-of-charge estimation of lithium-ion batteries. (2024)
Presentation / Conference Contribution
XU, X., WANG, S., WANG, C., FERNANDEZ, C. and BLAABJERG, F. 2024. A novel back propagation neural network-square root cubature Kalman filtering strategy based on fusion dual factor parameter identification for state-of-charge estimation of lithium-ion batteries. In Proceedings of the 4th IEEE (Institute of Electrical and Electronics Engineers) 4th New energy and energy storage system control summit forum 2024 (NEESSC 2024), 29-31 August 2024, Hohhot, China. Piscataway: IEEE [online], pages 120-132. Available from: https://doi.org/10.1109/neessc62857.2024.10733526

Accurate real-time estimation of the state-of-charge (SOC) of the battery is of great significance for promoting the development of electric vehicles. In this research, a novel back propagation neural network-square root cubature Kalman filtering (BP... Read More about A novel back propagation neural network-square root cubature Kalman filtering strategy based on fusion dual factor parameter identification for state-of-charge estimation of lithium-ion batteries..

Remaining useful life prediction hybrid model of lithium-ion battery based on improved GWO-LightGBM. (2024)
Presentation / Conference Contribution
ZHOU, Y., WANG, S., SHEN, X., SOJIB, A.S.M. and FERNANDEZ, C. 2024. Remaining useful life prediction hybrid model of lithium-ion battery based on improved GWO-LightGBM. In Proceedings of the 25th IEEE (Institute of Electrical and Electronics Engineers) China conference on system simulation technology and its application 2024 (CCSSTA 2024), 21-23 July 2024, Tianjin, China. Piscataway: IEEE [online], pages 553-556. Available from: https://doi.org/10.1109/CCSSTA62096.2024.10691744

Lithium-ion batteries, as the core of new energy vehicles, determine the safety of new energy vehicles. Remaining useful life of the battery is the most important parameter, and it is particularly important to estimate the remaining life accurately.... Read More about Remaining useful life prediction hybrid model of lithium-ion battery based on improved GWO-LightGBM..

Improved multi-head bi-directional long and short-term memory temporal convolutional network for lithium-ion batteries state of charge estimation in energy storage systems. (2024)
Presentation / Conference Contribution
LI, Y., WANG, S., LIU, D., CUI, Y., FERNANDEZ, C. and BLAABJERG, F. 2024. Improved multi-head bi-directional long and short-term memory temporal convolutional network for lithium-ion batteries state of charge estimation in energy storage systems. In Proceedings of the 25th IEEE (Institute of Electrical and Electronics Engineers) China conference on system simulation technology and its application 2024 (CCSSTA 2024), 21-23 July 2024, Tianjin, China. Piscataway: IEEE [online], pages 581-586. Available from: https://doi.org/10.1109/CCSSTA62096.2024.10691761

Lithium-ion batteries with their high voltage, large capacity, high discharge rate, no memory effect, and green environmental protection advantages are widely used in communication, power stations, backup power, and other energy storage fields. Accur... Read More about Improved multi-head bi-directional long and short-term memory temporal convolutional network for lithium-ion batteries state of charge estimation in energy storage systems..