State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation
Wei He(Beijing Information Science & Technology University), Michael Pecht(Life Cycle Engineering (United States)), Nicholas Williard(University of Maryland, College Park), Chaochao Chen(Hainan General Hospital)
Cited by 529
Related Papers
Heterogeneous Graph Neural Networks for Malicious Account Detection
|Unknown|2018|377
State of charge estimation for electric vehicle batteries using unscented kalman filtering
|Microelectronics Reliability|2013|339
Dynamical Modeling and Boundary Vibration Control of a Rigid-Flexible Wing System
|IEEE/ASME Transactions on Mechatronics|2020|322
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