通讯或者一作发表的论文： A CMMOG-based lithium-battery SOH estimation method using multi-task learning framework, Journal of Energy Storage, 2025.(影响因子9.400) State of Health Estimation of Lithium-ion Batteries Based on Multiphysics Features and CNN-EFC-BiLSTM. IEEE Sensors Journal, 2024, 24, 23, 39394-39408.(中科院2区) Estimating Lithium-ion Battery Health Using Hybrid Attention Networks and Multi-Source Data. IEEE Sensors Journal, 2024, 24, 19,30375-30385.(中科院2区)
Flexible method for estimating the state of health of lithium-ion batteries using partial charging segments. Energy, 2024: 131009.(中科院1区，TOP) An Extended Kalman Filter Design for State-of-Charge Estimation Based on Variational Approach. Batteries, 2023, 9(12): 583.(SCI期刊) A multi-fault diagnosis method for lithium-ion battery pack using curvilinear Manhattan distance evaluation and voltage difference analysis. Journal of Energy Storage, 2023, 67: 107575.(影响因子9.400) Battery SOH estimation method based on gradual decreasing current, double correlation analysis and GRU. Green Energy and Intelligent Transportation, 2023: 100108.
A reliable data-driven state-of-health estimation model for lithium-ion batteries in electric vehicles. Frontiers in Energy Research, 2022, 10: 1013800.(SCI期刊)
Editorial: Innovative methods and techniques in new electric power systems. Frontiers in Energy Research, 2023, 11: 1134563.(SCI期刊)
Lithium-ion battery capacity and remaining useful life prediction using board learning system and long short-term memory neural network, Journal of Energy Storage, 2022 (52) 104901. (影响因子9.400) An Integrated Method of the Future Capacity and RUL Prediction for Lithium-Ion Battery Pack, IEEE Transactions on Vehicular Technology, 2022, 71(3): 2601-2613.（中科院2区，影响因子6.239，车辆技术顶级期刊）
Transformer Fault Diagnosis Method using IoT based Monitoring System and Ensemble Machine Learning, Future Generation Computer Systems, 2020, 108：533-545. (中科院1区，影响因子6.125) Feature Extraction and Classification of Cataluminescence Images Based on Sparse Coding Convolutional Neural Networks. IEEE Transactions on Instrumentation and Measurement, 2021, 70:9501811. (中科院2区) An Active Balancing Method Based on SOC and Capacitance for Lithium-ion Batteries in Electric Vehicles. Frontiers in Energy Research, 2021, doi: 10.3389/fenrg.2021.773838.(SCI期刊) An Analog Circuit Fault Diagnosis Approach based on Improved Wavelet Transform and MKELM. Circuits, Systems, and Signal Processing, 2022, , doi: 10.1007/s00034-021-01842-2.(SCI期刊) Transformer Fault Diagnosis Method Based on Self-Powered RFID Sensor Tag, DBN, and MKSVM, IEEE Sensors Journal, 2019, 19(18)：8202-8214. (SCI期刊) A Multiple Heterogeneous Kernel RVM Approach for Analog Circuit Fault Prognostic, Cluster Computing, 2018, 22：S3849-S3861. (SCI期刊) Analog Circuit Incipient Fault Diagnosis Method Using DBN Based Features Extraction, IEEE Access, 2018, 6：23053-23064. (SCI期刊) Capacity Prognostics of Lithium-ion Batteries using EMD Denoising and Multiple Kernel RVM, IEEE Access, 2017, 5：12061-12070. (SCI期刊) A Novel Approach for Diagnosis of Analog Circuit Fault by Using GMKL-SVM and PSO, Journal of Electronic Testing Theory & Applications, 2016, 32(5)：531-540. (SCI期刊) Prognostics of Lithium-ion Batteries based on Wavelet Denoising and DE-RVM, Computational Intelligence and Neuroscience, 2015, Article ID 918305. (SCI期刊) A Novel Approach to Diagnosis of Analog Circuit Incipient Faults based on KECA and OAO LSSVM, Metrology and Measurement Systems, 2015, 22(2)：251-262. (SCI期刊) A Novel Approach for Analog Circuit Fault Prognostics based on Improved RVM, Journal of Electronic Testing, 2014, 30(3):343-356. (SCI期刊) Lithium-Ion Battery SOH Estimation Method Based on Multi-Feature and CNN-BiLSTM-MHA. World Electric Vehicle Journal, 2024, 15(7): 280.(EI期刊) Lithium-Ion Battery State-of-Health Estimation Method Using Isobaric Energy Analysis and PSO-LSTM. Journal of Electrical and Computer Engineering, 2023, 2023. (EI期刊) State-of-Health Estimate for the Lithium-Ion Battery Based on Constant Voltage Current Entropy and Charging Duration, World Electric Vehicle Journal, 2022, 13, 148. (EI期刊) State-of-Health Estimate for the Lithium-Ion Battery Using Chi-Square and ELM-LSTM, World Electric Vehicle Journal, 2021, 12(4):228. (EI期刊) A Novel Analog Circuit Fault Diagnosis Approach, Recent Advances in Electrical & Electronic Engineering, 2021, 14(5)：535-546. (EI期刊) Analog Circuit Fault Prognostic Approach using Optimized RVM, International Journal of Performability Engineering, 2019, 15(5)：1453-1461. (EI期刊) An Analog Circuit Fault Diagnosis Approach using DBN as a Preprocessor, International Journal of Circuits, Systems and Signal Processing , 2019, 13：156-161. (EI期刊) Cloud and Quantum-behaved Particle Swarm Optimization Algorithm for Economic Load Dispatch of Power System, Energy Education Science and Technology Part A: Energy Science and Research, 2014, 32(2)：1051-1058. (EI期刊) 基于集成经验模态分解与集成机器学习的锂离子电池剩余使用寿命预测方法, 电力系统保护与控制, 2023，51(13)：177-186. (EI期刊) 基于增量能量法和BiGRU-Dropout的锂电池健康状态估计, 电子测量与仪器学报, 2023, 37(1)：167-176. (CSCD核心、中文核心) 基于信息熵与PSO-LSTM的锂电池组健康状态估计方法, 机械工程学报, 2022, 58(10): 180-190. (EI期刊) 基于因子分析与K-means聚类的退役动力电池快速分选方法, 电力系统保护与控制, 2021, 49(12)：41-47. (EI期刊) 基于DBN特征提取的模拟电路早期故障诊断方法, 仪器仪表学报, 2019, 40(10)：112-119. (EI期刊) 基于 GMKL-SVM 的模拟电路故障诊断方法[J]. 仪器仪表学报, 2016, 37(9): 1989-1995. (EI期刊) 基于核熵成分分析的模拟电路早期故障诊断方法[J]. 仪器仪表学报, 2015, 36(3): 675-684. (EI期刊) 一种基于 QPSO-RVM 的模拟电路故障预测方法[J]. 仪器仪表学报, 2014, 35(8): 1751-1757. (EI期刊)
授权的美国和中国发明专利： 2019,Method for Predicting Remaining Useful Life of Lithium Battery Based on Wavelet Denoising and Relevance Vector Machine，专利号:US 10,408,882 B2，排名第二，美国发明专利； 2020,Deep Belief Network Feature Extraction-Based Analogue Circuit Fault Diagnosis Method，专利号:US 10, 776, 232 B2，排名第二，美国发明专利； 2022，一种锂电池组健康状态集成估计方法，专利号:ZL 202110347575.0，排名第一，中国发明专利； 2021，一种变压器故障定位方法，专利号:ZL 201910298662.4，排名第一，中国发明专利； 2020，基于稀疏系数多核相关向量机的锂电池剩余寿命预测方法，专利号:ZL 201710447298.4，排名第一，中国发明专利； 2022，一种电池组状态估计方法及系统，专利号:ZL 202110240005.1，排名第二，中国发明专利； 2021，基于优选小波基函数的模拟电路故障特征提取方法及系统，专利号:ZL 202010134689.2，排名第二，中国发明专利； 2019，一种基于广义多核支持向量机的模拟电路故障诊断方法，专利号:ZL 201610056544.9，排名第二，中国发明专利； 2017，基于小波降噪和相关向量机的锂电池剩余寿命预测方法，专利号:ZL 201410833574.7，排名第二，中国发明专利； 2016，一种模拟电路故障预测方法，专利号:ZL 201410088347.6，排名第二，中国发明专利。
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