Siyu Jin

Aalborg University

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Articles (14)

Collaborators (5)

Remus Teodorescu

Aalborg University

Yaqi Li

Aalborg University

Jia Guo

Aalborg University

Xin Sui

Aalborg University

Leonid Gurevich

Aalborg University

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Siyu Jin

Research Interests

Explore related searches

Contact this professor

Articles (14)

Collaborators (5)

Remus Teodorescu

Yaqi Li

Jia Guo

Xin Sui

Leonid Gurevich

Make your next move.

Siyu Jin

Research Interests

Explore related searches

Contact this professor

Articles (14)

An improved parameter identification and radial basis correction-differential support vector machine strategies for state-of-charge estimation of urban-transportation-electric-vehicle lithium-ion batteries

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

Lifetime Extension of Lithium-ion Batteries with Low-Frequency Pulsed Current Charging

An improved sliding window - long short-term memory modeling method for real-world capacity estimation of lithium-ion batteries considering strong random charging characteristics

Dynamic adaptive square-root unscented Kalman filter and rectangular window recursive least square method for the accurate state of charge estimation of lithium-ion batteries

Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries

Improved Compound Correction-Electrical Equivalent Circuit Modeling and Double Transform-Unscented Kalman Filtering for the High-Accuracy Closed-Circuit voltage and State-of-Charge Co-Estimation of Whole-Life-Cycle Lithium-Ion batteries

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 fuzzy adaptive cubature Kalman filtering method for the state of charge and state of energy co-estimation of lithium-ion batteries

A novel collaborative multiscale weighting factor-adaptive Kalman filtering method for the time-varying whole-life-cycle state of charge estimation of lithium-ion batteries

Improved covariance matching—electrical equivalent modeling for accurate internal state characterization of packing 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

Collaborators (5)

Remus Teodorescu

Yaqi Li

Jia Guo

Xin Sui

Leonid Gurevich

Make your next move.