1-1 of 1
Keywords: adaptive unscented Kalman filter
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

A Hybrid Method for Lithium-Ion Batteries State-of-Charge Estimation Based on Gated Recurrent Unit Neural Network and an Adaptive Unscented Kalman Filter

Shuai Xu, Fei Zhou, Yuchen Liu
Journal: Journal of Electrochemical Energy Conversion and Storage
Publisher: ASME
Article Type: Research Papers
J. Electrochem. En. Conv. Stor. August 2022, 19(3): 031005.
Paper No: JEECS-21-1172
https://doi.org/10.1115/1.4053361
Published Online: February 4, 2022
... recurrent unit (GRU) NN and an adaptive unscented Kalman filter (AUKF) method is proposed. A GRU NN is first used to acquire the nonlinear relationship between the battery SOC and battery measurement signals, and then an AUKF is utilized to filter out the output noise of the NN to further improve estimation...
View Article titled, A Hybrid Method for Lithium-Ion Batteries State-of-Charge Estimation Based on Gated Recurrent Unit Neural Network and an <span class="search-highlight">Adaptive</span> <span class="search-highlight">Unscented</span> <span class="search-highlight">Kalman</span> <span class="search-highlight">Filter</span>
Open the PDF for A Hybrid Method for Lithium-Ion Batteries State-of-Charge Estimation Based on Gated Recurrent Unit Neural Network and an <span class="search-highlight">Adaptive</span> <span class="search-highlight">Unscented</span> <span class="search-highlight">Kalman</span> <span class="search-highlight">Filter</span> in another window
Topics: Artificial neural networks, Batteries, Cycles, Errors, Kalman filters, Temperature, Lithium-ion batteries, Signals, Algorithms, Testing