Siyu Jin
vbn.aau.dk
0000-0001-5260-041X
Aalborg University
11 papers found
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Unravelling and quantifying the aging processes of commercial Li(Ni 0.5Co 0.2Mn 0.3)O 2/graphite lithium-ion batteries under constant current cycling
An improved feedforward-long short-term memory modeling method for the whole-life-cycle state of charge prediction of lithium-ion batteries considering current-voltage-temperature variation
A Critical Review of Improved Deep Convolutional Neural Network for Multi-Timescale State Prediction of Lithium-Ion Batteries
A novel feedback correction-adaptive Kalman filtering method for the whole-life-cycle state of charge and closed-circuit voltage prediction of lithium-ion batteries based on the second-order electrical equivalent circuit model
Overview of Machine Learning Methods for Lithium-Ion Battery Remaining Useful Lifetime Prediction
Improved covariance matching—electrical equivalent modeling for accurate internal state characterization of packing lithium‐ion batteries
A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries
The Effect of Pulsed Current on the Lifetime of Lithium-ion Batteries
A Critical Review of Online Battery Remaining Useful Lifetime Prediction Methods
A novel streamlined particle‐unscented Kalman filtering method for the available energy prediction of lithium‐ion batteries considering the time‐varying temperature‐current influence
Overview of Methods for Battery Lifetime Extension
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