Juncheng Fu
YOU?
Author Swipe
View article: Lithium-ion battery remaining useful life prediction based on data-driven and particle filter fusion model
Lithium-ion battery remaining useful life prediction based on data-driven and particle filter fusion model Open
To improve the accuracy and stability of battery remaining useful life (RUL) prediction for lithium-ion batteries, this paper proposes a new convolutional neural network-gated recurrent unit-particle filter (CNN-GRU-PF) fusion prediction m…
View article: Prediction of Lithium-Ion Battery State of Health Using a Deep Hybrid Kernel Extreme Learning Machine Optimized by the Improved Black-Winged Kite Algorithm
Prediction of Lithium-Ion Battery State of Health Using a Deep Hybrid Kernel Extreme Learning Machine Optimized by the Improved Black-Winged Kite Algorithm Open
The accurate prediction of lithium-ion battery state of health (SOH) can extend battery life, enhance device safety, and ensure sustained reliability in critical applications. Addressing the non-linear and non-stationary characteristics of…
View article: Lithium-Ion Battery Health State Prediction Based on VMD and DBO-SVR
Lithium-Ion Battery Health State Prediction Based on VMD and DBO-SVR Open
Accurate estimation of the state-of-health (SOH) of lithium-ion batteries is a crucial reference for energy management of battery packs for electric vehicles. It is of great significance in ensuring safe and reliable battery operation whil…