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Siyan Chen

associate professor

Jilin University

China

Research Interests

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Articles (15)

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

Collaborators (4)

Weifeng Li

Jilin University

CHINA

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Xinhua Liu

Associate Professor

Beihang University

CHINA

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Nan Zhu

Professor

Dalian University of Technology

CHINA

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cheng zhang

Coventry University

UNITED KINGDOM

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Siyan Chen

Research Interests

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Articles (15)

A data-driven methodology for early-stage estimation and second-life applicability assessment toward lifecycle refined management of power batteries

Small-Sample Battery Capacity Prediction Using a Multi-Feature Transfer Learning Framework

A State-of-Health Estimation Method of a Lithium-Ion Power Battery for Swapping Stations Based on a Transformer Framework

Bio-Inspired Core–Shell Structured Electrode Particles with Protective Mechanisms for Lithium-Ion Batteries

Carbon peaking capacity of Chinese cities not overemphasizing the role of non-fossil energy utilization- A case study of the Yangtze River Delta Region and northeast China

One-Stone-for-Two-Birds Strategy for VSe2 to Enable High Capacity and Long-Life Zinc Storage

Bio‐Inspired Electrodes with Rational Spatiotemporal Management for Lithium‐Ion Batteries

Early-stage degradation trajectory prediction for lithium-ion batteries: A generalized method across diverse operational conditions

SOH estimation method for lithium-ion batteries under low temperature conditions with nonlinear correction

Toward a function realization of multi-scale modeling for lithium-ion battery based on CHAIN framework

Lithium-ion battery multi-scale modeling coupled with simplified electrochemical model and kinetic Monte Carlo model

State of charge estimation method by using a simplified electrochemical model in deep learning framework for lithium-ion batteries

State of health and remaining useful life prediction for lithium‐ion batteries based on differential thermal voltammetry and a long and short memory neural network

Lithium-Ion Battery State of Health Estimation with Multi-Feature Collaborative Analysis and Deep Learning Method

Simplified numerical modeling and analysis of electrolyte behavior in multiple physical fields for lithium-ion batteries

Collaborators (4)

Weifeng Li

Xinhua Liu

Nan Zhu

cheng zhang

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