Weixiang Shen

Swinburne University of Technology

Research Interests

Explore related searches

Contact this professor

Google Scholar

Articles (27)

Collaborators (3)

Xiaohua Ge

Swinburne University of Technology

Feng Wang

Swinburne University of Technology

Guoxing Lu

Swinburne University of Technology

Weixiang Shen

Research Interests

Explore related searches

Contact this professor

Articles (27)

Collaborators (3)

Xiaohua Ge

Feng Wang

Guoxing Lu

How do I reach out?

Meet Kite AI

Weixiang Shen

Research Interests

Explore related searches

Contact this professor

Articles (27)

Recent advances in model-based fault diagnosis for lithium-ion batteries: A comprehensive review

Robust Health Monitoring for Lithium-Ion Batteries Under Guidance of Proxy Labels: A Deep Multitask Learning Approach

Active cell balancing for extended operational time of lithium-ion battery systems in energy storage applications

Electrode-Parameter-Based Fault Diagnosis and Capacity Estimation for Lithium-Ion Batteries in Electric Vehicles

Improving Battery Life Prediction With Unlabeled Data: Confidence-Weighted Semi-Supervised Learning With Label Propagation

Estimation of Parameters and State of Charge for Solid-State Batteries Based on Posterior Cramer-Rao Lower Bound Analysis

Toward Accurate and Efficient Sorting of Retired Lithium-Ion Batteries: A Data-Driven-Based Electrode Aging Assessment Approach

A Curve Relocation Approach for Robust Battery Open Circuit Voltage Reconstruction and Capacity Estimation Based on Partial Charging Data

Aging-Robust and Current Sensor-Free Soft Short-Circuit Fault Diagnosis for Lithium-Ion Batteries

Managing the surge: A comprehensive review of the entire disposal framework for retired lithium-ion batteries from electric vehicles

A Curve Relocation Approach for Robust Battery Open Circuit Voltage Reconstruction and Capacity Estimation Based on Partial Charging Data

An Electric Vehicle-Oriented Approach for Battery Multi-Constraint State of Power Estimation Under Constant Power Operations

Deep neural network-enabled battery open-circuit voltage estimation based on partial charging data

Adaptive Neural Observer for Short Circuit Fault Estimation of Lithium-Ion Batteries in Electric Vehicles

An Information Analysis Based Online Parameter Identification Method for Lithium-ion Batteries in Electric Vehicles

Battery Peak Power Assessment under Various Operational Scenarios: A Comparative Study

Electrochemical Impedance Spectroscopy: A Novel High-Power Measurement Technique for Onboard Batteries Using Full-Bridge Conversion

Online Soft Short-Circuit Diagnosis of Electric Vehicle Li-Ion Batteries Based on Constant Voltage Charging Current

A Novel Set-Valued Sensor Fault Diagnosis Method for Lithium-Ion Battery Packs in Electric Vehicles

Mechanism of failure behaviour and analysis of 18650 lithium-ion battery under dynamic loadings

A novel pseudo-open-circuit voltage modeling method for accurate state-of-charge estimation of LiFePO4 batteries

Lithium-Ion Battery State of Charge and State of Power Estimation Based on a Partial-Adaptive Fractional-Order Model in Electric Vehicles

Health and lifespan prediction considering degradation patterns of lithium-ion batteries based on transferable attention neural network

A Novel Double-Voltage-Vector Model-Free Predictive Current Control Method for Two-Level Voltage Source Inverters

Modulated Model-Free Predictive Current Control for Voltage Source Inverters With Stagnation Elimination and Sampling Disturbance Suppression

An Adaptive Approach for Battery State of Charge and State of Power Co-Estimation With a Fractional-Order Multi-Model System Considering Temperatures

OCV-SOC-Temperature Relationship Construction and State of Charge Estimation for a Series– Parallel Lithium-Ion Battery Pack

Collaborators (3)

Xiaohua Ge

Feng Wang

Guoxing Lu

How do I reach out?

Meet Kite AI