武龙星｜安徽科技学院｜学者主页

2026

车辆工程专业改造提升的探索与实践——以安徽科技学院为例

刘春辉，张卫，武龙星

《专用汽车》

DOI

2026

A Dual-Path Physics-Informed Neural Network with Explicit Aging Dynamics for SOH Estimation of Lithium-ion Batteries

Zhiqiang Lyu, Yunke Hu, Weiguo Kong, Geng Wang, Longxing Wu, Yuan Chen

Clean Energy

DOI

2026

Battery SOH estimation via an optimized CNN–BiLSTM–Attention network using ICA-Based ageing features

Zhiqiang Lyu, Hao Wang, Wenwu Shi, Xingzi Qiang, Longxing Wu

Ionics

DOI

2026

A Physics-Informed TCN-LSTM Approach for Interpretable Internal Temperature Estimation of NMC811 Lithium-Ion Batteries

Xinyuan Wei, Longxing Wu, Aobo Qin, Tianye Ma, Chunhui Liu, Zhong Ren, Xing Shu

Batteries

DOI

2026

A Lightweight Ranking Physics-Informed Neural Network for the State-of-Health Estimation of Batteries in Energy Storage

Zhiqiang Lyu, Weiguo Kong, Yunke Hu, Geng Wang, Yuan Chen, Yihua Hu, Longxing Wu

Green Carbon

DOI

2026

A multi-vehicle study of early-data requirements for state-of-health estimation of electric vehicle batteries using real-world operating data

Chaolong Zhang, Kaixin Cheng, Heng Li, Liping Chen, Rui Zhu, Ji Wu, Yuan Chen, Longxing Wu

Energy

DOI

2026

Robust state of health estimation for lithium-ion batteries under noisy labels via a closed-form liquid neural network with correntropy loss

Wentao Ma, Zhuo Li, Longxing Wu, Xile Gao, Zetong Gao, Peng Guo, Xiaofei Wang, Menying Hu

Journal of Energy Storage

DOI

2026

Physics-augmented state of health estimation for lithium-ion batteries with relaxation voltage features: Evaluation of two lightweight physics-informed neural network -driven approaches

Longxing Wu, Aobo Qin, Chunsong Lin, Yufeng Tang, Xianguo Tuo, Zhiqiang Lyu, Heng Li, Zhengguang Liu

Journal of Energy Storage

DOI

2026

Augmented characteristic prediction model of lithium-ion battery under multi-temperature conditions: Reconstructed open circuit voltage and thermal effect jointly driven approach

Xinyuan Wei, Tianye Ma, J F Sun, Mingming Li, Longxing Wu, Chunhui Liu, Zaiheng Wei, Zhiqiang Lyu, Hui Li

Journal of Energy Storage

DOI

2026

Empowering lithium-ion battery state of health solution: Incorporating electrochemical aging characterization and unscented particle filter

Zhiqiang Lyu, Hao Tian, Longxing Wu, Jianxiong Wang

Journal of Power Sources

DOI

2025

车载动力电池分数阶模型构建方法综述

武龙星，魏心愿，孙朋，刘春辉

《电源技术》

2025

Battery SOH enhanced solution: Voltage reconstruction and image recognition response to loss of data scenarios

Xinghua Liu, Linxiang Zhou, Jiaqiang Tian, Longxing Wu, Zhongbao Wei, Hany Mohamed Hasanien, Peng Wang

Journal of Energy Chemistry

DOI

2025

A lightweight two-stage physics-informed neural network for SOH estimation of lithium-ion batteries with different chemistries

Chunsong Lin, Longxing Wu, Xianguo Tuo, Chunhui Liu, Wei Zhang, Zebo Huang, Guiyu Zhang

Journal of Energy Chemistry

DOI

2025

Corrigendum to ‘Exploring life warning solution of lithium-ion batteries in real-world scenarios: TCN-transformer fusion model for battery pack SOH estimation’ [Energy 335 (2025) 138053]

Yuan Chen, Dongyuan Li, Xiaohe Huang, Jichao Hong, Chaoxu Mu, Longxing Wu, Kerui Li

Energy

DOI

2025

Battery SOC estimation with physics-constrained BiLSTM under different external pressures and temperatures

Longxing Wu, Xinyuan Wei, Chunsong Lin, Zebo Huang, Yuqian Fan, Chunhui Liu, Shuping Fang

Journal of Energy Storage

DOI

2025

Physics-informed machine learning for accurate SOH estimation of lithium-ion batteries considering various temperatures and operating conditions

Chunsong Lin, Xianguo Tuo, Longxing Wu, Guiyu Zhang, Zhiqiang Lyu, Xiangling Zeng

Energy

DOI

2025

From tradition to innovation: Evolution and trade-offs of lithium-ion battery state of health estimation methods

Zhiqiang Lyu, Zhirui Jin, X. Rong Li, Hao Wang, Longxing Wu, Yuan Chen

Journal of Energy Storage

DOI

2025

Data‐Driven State of Health for Lithium‐Ion Batteries: Feature Engineering, Estimation Approaches, and Future Directions

Zhiqiang Lyu, X. Rong Li, Zhi Gang Jin, Hao Wang, Yuan Chen, Longxing Wu

Batteries & Supercaps

DOI

2025

An efficient feature search approach for robust state of health estimation of Li-ion battery

Xiaolong Chen, Huihui Yang, Yingze Yang, Heng Li, Yuan Chen, Chaolong Zhang, Longxing Wu, Lisen Yan

Green Energy and Intelligent Transportation

DOI

2025

Comparative Evaluation of Fractional-Order Models for Lithium-Ion Batteries Response to Novel Drive Cycle Dataset

Xinyuan Wei, Longxing Wu, Chunhui Liu, Zhi-Yuan Si, Xing Shu, Heng Li

Fractal and Fractional

DOI

2025

Transfer Learning‐Based Data‐Fusion Model Framework for State of Health Estimation of Power Battery Packs

Zhiqiang Lyu, Xinyuan Wei, Longxing Wu, Chunhui Liu

Battery energy

DOI

2024

Online SOH Estimation in Lithium-Ion Batteries Using Electrochemical Model and Unscented Particle Filter

Zhiqiang Lyu, Longxing Wu, Yuan Chen

DOI

2024

Towards an intelligent battery management system for electric vehicle applications: Dataset considerations, algorithmic approaches, and future trends

Zhiqiang Lyu, Longxing Wu, Mohan Lyu, Jingjing Yang, Xiaoyu Li

Journal of Energy Storage

DOI

2024

Combining Multi-Indirect Features Extraction and Optimized Gaussian Process Regression Algorithm for Online State of Health Estimation of Lithium-Ion Batteries

Chunsong Lin, Xianguo Tuo, Longxing Wu, Guiyu Zhang, Zhiqiang Lyu, Xiangling Zeng

Journal of Electrochemical Energy Conversion and Storage

DOI

2024

Online state of health estimation for Li-ion batteries in EVs through a data-fusion-model method

Zhiqiang Lyu, Yi Wen Tang, Zhaoli Wu, Longxing Wu, Xingzi Qiang

Journal of Energy Storage

DOI

2024

Accurate Capacity Prediction and Evaluation with Advanced SSA-CNN-BiLSTM Framework for Lithium-Ion Batteries

Chunsong Lin, Xianguo Tuo, Longxing Wu, Guiyu Zhang, Xiangling Zeng

Batteries

DOI

2024

Accurate capacity and remaining useful life prediction of lithium-ion batteries based on improved particle swarm optimization and particle filter

Hui Pang, Kaiqiang Chen, Yuanfei Geng, Longxing Wu, Fengbin Wang, Jiahao Liu

Energy

DOI

2023

Physics-based battery SOC estimation methods: Recent advances and future perspectives

Longxing Wu, Zhiqiang Lyu, Zebo Huang, Chao Zhang, Changyin Wei

Journal of Energy Chemistry

DOI

2023

Physics-informed neural network approach for heat generation rate estimation of lithium-ion battery under various driving conditions

Hui Pang, Longxing Wu, Jiahao Liu, Xiaofei Liu, Kai Liu

Journal of Energy Chemistry

2023

Li‐Ion Battery State of Health Estimation Using Hybrid Decision Tree Model Optimized by Bayesian Optimization

Xingzi Qiang, Yi Wen Tang, Longxing Wu, Zhiqiang Lyu

Energy Technology

DOI

2023

Thermal-Coupled Single Particle Modeling and Multi-Objective Stepwise Parameter Identification of Lithium-Ion Batteries Over Different Temperatures

Jiahao Liu, Hui Pang, Yuanfei Geng, Kaiqiang Chen, Longxing Wu

Journal of The Electrochemical Society

DOI

2022

车载动力电池机理模型重构方法及其关键状态估计研究

武龙星

《西安理工大学》

武龙星

精选作品

期刊论文

车辆工程专业改造提升的探索与实践——以安徽科技学院为例

A Dual-Path Physics-Informed Neural Network with Explicit Aging Dynamics for SOH Estimation of Lithium-ion Batteries

Battery SOH estimation via an optimized CNN–BiLSTM–Attention network using ICA-Based ageing features

A Physics-Informed TCN-LSTM Approach for Interpretable Internal Temperature Estimation of NMC811 Lithium-Ion Batteries

A Lightweight Ranking Physics-Informed Neural Network for the State-of-Health Estimation of Batteries in Energy Storage

A multi-vehicle study of early-data requirements for state-of-health estimation of electric vehicle batteries using real-world operating data

Robust state of health estimation for lithium-ion batteries under noisy labels via a closed-form liquid neural network with correntropy loss

Physics-augmented state of health estimation for lithium-ion batteries with relaxation voltage features: Evaluation of two lightweight physics-informed neural network -driven approaches

Augmented characteristic prediction model of lithium-ion battery under multi-temperature conditions: Reconstructed open circuit voltage and thermal effect jointly driven approach

Empowering lithium-ion battery state of health solution: Incorporating electrochemical aging characterization and unscented particle filter

车载动力电池分数阶模型构建方法综述

Battery SOH enhanced solution: Voltage reconstruction and image recognition response to loss of data scenarios

A lightweight two-stage physics-informed neural network for SOH estimation of lithium-ion batteries with different chemistries

Corrigendum to ‘Exploring life warning solution of lithium-ion batteries in real-world scenarios: TCN-transformer fusion model for battery pack SOH estimation’ [Energy 335 (2025) 138053]

Battery SOC estimation with physics-constrained BiLSTM under different external pressures and temperatures

Physics-informed machine learning for accurate SOH estimation of lithium-ion batteries considering various temperatures and operating conditions

From tradition to innovation: Evolution and trade-offs of lithium-ion battery state of health estimation methods

Data‐Driven State of Health for Lithium‐Ion Batteries: Feature Engineering, Estimation Approaches, and Future Directions

An efficient feature search approach for robust state of health estimation of Li-ion battery

Comparative Evaluation of Fractional-Order Models for Lithium-Ion Batteries Response to Novel Drive Cycle Dataset

Transfer Learning‐Based Data‐Fusion Model Framework for State of Health Estimation of Power Battery Packs

Online SOH Estimation in Lithium-Ion Batteries Using Electrochemical Model and Unscented Particle Filter

Towards an intelligent battery management system for electric vehicle applications: Dataset considerations, algorithmic approaches, and future trends

Combining Multi-Indirect Features Extraction and Optimized Gaussian Process Regression Algorithm for Online State of Health Estimation of Lithium-Ion Batteries

Online state of health estimation for Li-ion batteries in EVs through a data-fusion-model method

Accurate Capacity Prediction and Evaluation with Advanced SSA-CNN-BiLSTM Framework for Lithium-Ion Batteries

Accurate capacity and remaining useful life prediction of lithium-ion batteries based on improved particle swarm optimization and particle filter

Physics-based battery SOC estimation methods: Recent advances and future perspectives

Physics-informed neural network approach for heat generation rate estimation of lithium-ion battery under various driving conditions

Li‐Ion Battery State of Health Estimation Using Hybrid Decision Tree Model Optimized by Bayesian Optimization

Thermal-Coupled Single Particle Modeling and Multi-Objective Stepwise Parameter Identification of Lithium-Ion Batteries Over Different Temperatures

车载动力电池机理模型重构方法及其关键状态估计研究

预印本

An End-to-End Estimation of State of Health Integrating Residual Attention Mechanism Using Charging Curve Images for Batteries

研究方向