State of charge estimation for electric vehicle batteries using unscented kalman filtering
Wei He(Life Cycle Engineering (United States)), Michael Pecht(Life Cycle Engineering (United States)), Nicholas Williard(University of Maryland, College Park), Chaochao Chen(Hainan General Hospital)
Cited by 339
Related Papers
State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation
|International Journal of Electrical Power & Energy Systems|2014|529
Heterogeneous Graph Neural Networks for Malicious Account Detection
|Unknown|2018|377
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
|Proceedings of the AAAI Conference on Artificial Intelligence|2019|321
Machine Condition Prediction Based on Adaptive Neuro–Fuzzy and High-Order Particle Filtering
|IEEE Transactions on Industrial Electronics|2010|247
DTCDR
|Unknown|2019|200