First/Corresponding author:

Y. Soo, Y. Wang*, H. Xiang, Z. Chen. Machine Learning based Battery Pack Health Prediction using Real-world Data, Energy, 308(2024), 132856. https://doi.org/10.1016/j.energy.2024.132856

Y. Wang*, H. Xiang, Y. Soo, X. Fan. Aging Mechanisms, Health Prognostics and Management for Lithium-ion Batteries: Recent Advances and Perspectives, Renewable & Sustainable Energy Reviews, 207(2024), 114915. https://doi.org/10.1016/j.rser.2024.114915

X. Zhang, H. Xiang, X. Xiong, Y. Wang*, Z. Chen. Benchmarking core temperature forecasting for lithium-ion battery using typical recurrent neural networks, Applied Thermal Engineering, 248(2024), 123257. https://doi.org/10.1016/j.applthermaleng.2024.123257

Y. Soo, Y. Wang*, H. Xiang, Z. Chen. A Data Augmentation Method for Lithium-ion Battery Capacity Estimation based on WTimeGAN, Energy Technology, early access. https://doi.org/10.1002/ente.202400488

X. Kang, Y. Wang*, C. Jiang, Z. Chen. Digital Twin-Enhanced Control for Fuel Cell and Lithium-Ion Battery Hybrid Vehicles, Batteries, 10(2024), 242. https://doi.org/10.3390/batteries10070242

X. Kang, Y. Wang*, Z. Chen. A reinforcement learning energy management strategy for fuel cell hybrid electric vehicles considering driving condition classification, Sustainable Energy, Grids and Networks, 38(2024), 101298. https://doi.org/10.1016/j.segan.2024.101298

Y. Wang*, X. Yang, Z. Sun, Z. Chen. A Systematic Review of System Modeling and Control Strategy of Proton Exchange Membrane Fuel Cell, Energy Reviews, 3(2023), 100054. https://doi.org/10.1016/j.enrev.2023.100054

Y. Wang*, X. Zhang, K. Liu, Z. Wei, X. Hu, X. Tang, Z. Chen. System identification and state estimation of a reduced-order electrochemical model for lithium-ion batteries, eTransportation, 18(2023), 100295. https://doi.org/10.1016/j.etran.2023.100295

H. Xiang, Y. Wang*, X. Zhang, Z. Chen. Two-level Battery Health Diagnosis using Encoder-decoder Framework and Gaussian Mixture Ensemble Learning Based on Relaxation Voltage, IEEE Transactions on Transportation Electrification, early access. https://doi.org/10.1109/TTE.2023.3317449

H. Xiang, Y. Wang*, Z. Chen. A comprehensive study on state-of-charge and state-of-health estimation of sodium-ion batteries, Journal of Energy Storage, 72(2023), 108314. https://doi.org/10.1016/j.est.2023.108314

Y. Wang*, X. Zhang, K. Li, G. Zhao, Z. Chen. Perspectives and Challenges for Future Lithium-ion Battery Control and Management, eTransportation, 18(2023), 100260. https://doi.org/10.1016/j.etran.2023.100260

X. Zhang, Y. Wang*, Z. Chen. SoC-modified Core Temperature Estimation of Lithium-ion Battery Based on Control-Oriented Electro-thermal Model, IEEE Transactions on Power Electronics, 38(2023), 11642-11651. https://doi.org/10.1109/TPEL.2023.3288539

Y. Wang*, W. Li, Z. Liu, L. Li. An Energy Management Strategy of Hybrid Energy Storage System based on Reinforcement Learning, World Electric Vehicle Journal, vol 14, no 3, 57(2023). https://doi.org/10.3390/wevj14030057

Y. Wang*, G. Zhao. A comparative study of different fractional-order models for lithium-ion batteries, Control Engineering Practice, 133(2023), 105451. https://doi.org/10.1016/j.conengprac.2023.105451

Y. Wang*, K. Li, P. Peng, Z. Chen. Health diagnosis for lithium-ion battery by combining partial incremental capacity and deep belief network during insufficient discharge profile, IEEE Transactions on Industrial Electronics, 2022, 70(11), 11242-11250. https://doi.org/10.1109/TIE.2022.3224201

G. Zhao, Y. Wang*, Z. Chen. Health-aware multi-stage charging strategy for lithium-ion batteries based on whale optimization algorithm, Journal of Energy Storage, 55(2022), 105620. https://doi.org/10.1016/j.est.2022.105620

K. Li, Y. Wang*, Z. Chen. A comparative study of battery state-of-health estimation based on empirical mode decomposition and neural network, Journal of Energy Storage, 54(2022), 105333. https://doi.org/10.1016/j.est.2022.105333

Y. Wang*, G. Zhao, C. Zhou, M. Li, Z. Chen. Lithium-ion battery optimal charging strategy using moth-flame optimization algorithm and fractional-order model, IEEE Transactions on Transportation Electrification, early access. https://doi.org/10.1109/TTE.2022.3192174

Y. Wang*, K. Li, Z. Chen. Battery full life cycle management and health prognosis based on cloud service and broad learning, IEEE/CAA Journal of Automatica Sinica, vol. 9, no 8, 2022, 1540-1542. https://doi.org/10.1109/JAS.2022.105779

Y. Wang*, X. Kang, Z. Chen. A survey of digital twin techniques in smart manufacturing and management of energy applications, Green Energy and Intelligent Transportation, 1(2022), 100014. https://doi.org/10.1016/j.geits.2022.100014

Y. Wang*, X. Zhang, Z. Chen. Low temperature preheating techniques for lithium-ion batteries: recent advances and future challenges, Applied Energy, 313(2022), 118832. https://doi.org/10.1016/j.apenergy.2022.118832

Y. Wang*, C. Zhou, G. Zhao, Z. Chen. A framework for battery internal temperature and state of charge estimation based on fractional-order thermoelectric model, Transactions of the Institute of Measurement and Control, 2022. https://doi.org/10.1177/01423312211067293

Y. Wang*, C. Zhou, Z. Chen. Optimization of battery charging strategy based on nonlinear model predictive control, Energy, 241(2022), 122877. https://doi.org/10.1016/j.energy.2021.122877

Y. Wang, R. Xu, C. Zhou, X. Kang, Z. Chen*. Digital twin and cloud-side-end collaboration for intelligent battery management system, Journal of Manufacturing Systems, 62(2022), 124-134. https://doi.org/10.1016/j.jmsy.2021.11.006

周才杰, 汪玉洁*, 李凯铨, 陈宗海. 基于灰色关联度分析-长短期记忆神经网络的锂离子电池健康状态估计. 电工技术学报, 2022, 37(23):6065-6073. https://doi.org/10.19595/j.cnki.1000-6753.tces.211366

Y. Wang*, C. Zhou, Z. Chen. An enhanced approach for load behavior and battery residual capacity prediction using Markov chain and Monte Carlo method, IEEE Journal of Emerging and Selected Topics in Industrial Electronics, vol 4, no 1, 2023, 159-167. https://doi.org/10.1109/JESTIE.2021.3115468

X. Tang, Y. Wang*, Q. Liu, F. Gao*. Reconstruction of the incremental capacity trajectories from current-varying profiles for lithium-ion batteries, iScience, 24(10)(2021), 103103. https://doi.org/10.1016/j.isci.2021.103103

Y. Wang, M. Li, Z. Chen*. Experimental study of fractional-order models for lithium-ion battery and ultra-capacitor: modeling, system Identification, and validation, Applied Energy, 278(2020), 115736. https://doi.org/10.1016/j.apenergy.2020.115736

Y. Wang, J. Tian, Z. Sun, L. Wang, R. Xu, M. Li, Z. Chen*. A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems, Renewable & Sustainable Energy Reviews, 131(2020), 110015. https://doi.org/10.1016/j.rser.2020.110015

Y. Wang, L. Wang, M. Li, Z. Chen*. A review of key issues for control and management in battery and ultra-capacitor hybrid energy storage systems, eTransportation, 4(2020), 100064. https://doi.org/10.1016/j.etran.2020.100064

Y. Wang*, G. Gao, X. Li, Z. Chen. A fractional-order model-based state estimation approach for lithium-ion battery and ultra-capacitor hybrid power source system considering load trajectory, Journal of Power Sources, 449(2020), 227543. https://doi.org/10.1016/j.jpowsour.2019.227543

Y. Wang, Z. Chen*. A framework for state-of-charge and remaining discharge time prediction using unscented particle filter, Applied Energy, 260(2020), 114324. https://doi.org/10.1016/j.apenergy.2019.114324

Y. Wang, Z. Sun, X. Li, X. Yang, Z. Chen*. A comparative study of power allocation strategies used in fuel cell and ultracapacitor hybrid systems, Energy, 189(2019), 116142. https://doi.org/10.1016/j.energy.2019.116142

X. Tang, Y. Wang*, K. Yao, Z. He, F. Gao*. Model migration based battery power capability evaluation considering uncertainties of temperature and aging, Journal of Power Sources, 440(2019), 227141. https://doi.org/10.1016/j.jpowsour.2019.227141

Y. Wang*, X. Li, Li Wang, Z. Sun. Multiple-grained velocity prediction and energy management strategy for hybrid propulsion systems, Journal of Energy Storage, 26(2019), 100950. https://doi.org/10.1016/j.est.2019.100950

Y. Wang, Z. Sun, Z. Chen*. Energy management strategy for battery/ supercapacitor/ fuel cell hybrid source vehicles based on finite state machine, Applied Energy, 254(2019), 113707. https://doi.org/10.1016/j.apenergy.2019.113707

Y. Wang, Z. Sun, Z. Chen*. Development of energy management system based on a rule-based power distribution strategy for hybrid power sources, Energy, 175(2019), 1055-1066. https://doi.org/10.1016/j.energy.2019.03.155

X. Tang, Y. Wang*, C. Zou, K. Yao, Y. Xia, F. Gao*. A novel framework for Lithium-ion battery modeling considering uncertainties of temperature and aging, Energy Conversion and Management, 180(2019), 162-170. https://doi.org/10.1016/j.enconman.2018.10.082

Y. Wang, J. Tian, Z. Chen*, X. Liu. Model based insulation fault diagnosis for lithium-ion battery pack in electric vehicles, Measurement, 131(2019), 443-451. https://doi.org/10.1016/j.measurement.2018.09.007

Y. Wang, X. Zhang, C. Liu, R. Pan, Z. Chen*. Multi-timescale power and energy assessment of lithium-ion battery and supercapacitor hybrid system using extended Kalman filter, Journal of Power Sources, 389(2018), 93-105. https://doi.org/10.1016/j.jpowsour.2018.04.012

Y. Wang, R. Pan, C. Liu, Z. Chen*, Q. Ling. Power capability evaluation for lithium iron phosphate batteries based on multi-parameter constraints estimation, Journal of Power Sources, 374(2018), 12-23. https://doi.org/10.1016/j.jpowsour.2017.11.019

Y. Wang, Z. Chen*, C. Zhang. On-line remaining energy prediction: a case study in embedded battery management system, Applied Energy, 194(2017), 688-695. https://doi.org/10.1016/j.apenergy.2016.05.081

Y. Wang, C. Liu, R. Pan, Z. Chen*. Modeling and state-of-charge prediction of lithium-ion battery and ultracapacitor hybrids with a co-estimator, Energy, 121(2017), 739-750. https://doi.org/10.1016/j.energy.2017.01.044

Y. Wang, C. Zhang, Z. Chen*. On-line battery state-of-charge estimation based on an integrated estimator, Applied Energy, 185(2017), 2026-2032. https://doi.org/10.1016/j.apenergy.2015.09.015

Y. Wang, D. Yang, X. Zhang, Z. Chen*. Probability based remaining capacity estimation using data-driven and neural network model, Journal of Power Sources, 315(2016), 199-208. https://doi.org/10.1016/j.jpowsour.2016.03.054

Y. Wang, C. Zhang, Z. Chen*. An adaptive remaining energy prediction approach for lithium-ion batteries in electric vehicles, Journal of Power Sources, 305(2016), 80-88. https://doi.org/10.1016/j.jpowsour.2015.11.087

Y. Wang, C. Zhang, Z. Chen*, J. Xie, X. Zhang. A novel active equalization method for lithium-ion batteries in electric vehicles, Applied Energy, 145(2015), 36-42. https://doi.org/10.1016/j.apenergy.2015.01.127

Y. Wang, C. Zhang, Z. Chen*. A method for state-of-charge estimation of LiFePO4 batteries at dynamic currents and temperatures using particle filter, Journal of Power Sources, 279(2015), 306-311. https://doi.org/10.1016/j.jpowsour.2015.01.005

Y. Wang, C. Zhang, Z. Chen*. A method for state-of-charge estimation of Li-ion batteries based on multi-model switching strategy, Applied Energy, 137(2015), 427-434. https://doi.org/10.1016/j.apenergy.2014.10.034

Y. Wang, C. Zhang, Z. Chen*. A method for joint estimation of state-of-charge and available energy of LiFePO4 batteries, Applied Energy, 135(2014), 81-87. https://doi.org/10.1016/j.apenergy.2014.08.081

Co-author:

M. Li, Y. Wang, P. Peng, Z. Chen*. Toward Efficient Smart Management: A Review of Modeling and Optimization Approaches in Electric Vehicle-Transportation Network-Grid Integration, Green Energy and Intelligent Transportation, 3(2024), 100181. https://doi.org/10.1016/j.geits.2024.100181

Y. Shi, Z. Sun, Y. Wang, M. Li, Z. Chen*. Thermal Management of Proton-Exchange Membrane Fuel Cells with Enhanced Fuzzy Control via an Improved Whale Optimization Algorithm, Energy Technology, early access. https://doi.org/10.1002/ente.202400055

J. Tian, Q. Zhang, X. Liu, Y. Fan, Y. Wang, T. Pan. Route Planning-based Active Equalization of Reconfigurable Battery Packs in Electric Vehicles, IEEE Transactions on Intelligent Vehicles, early access. https://doi.org/10.1109/TIV.2024.3370537

X. Xiong, Y. Wang, C. Jiang, X. Zhang, H. Xiang, Z. Chen*. End-to-end deep learning powered battery state of health estimation considering multi-neighboring incomplete charging data, Energy, 292(2024), 130495. https://doi.org/10.1016/j.energy.2024.130495

Z. Sun, Y. Wang, Z. Chen*. Coordination control strategy for PEM fuel cell system considering vehicle velocity prediction information, eTransportation, 18(2023), 100287. https://doi.org/10.1016/j.etran.2023.100287

Z. Sun, Y. Shi, Y. Wang, Z. Chen*. System modeling and temperature control for a fuel cell system based on local model networks, International Journal of Green Energy, early access. https://doi.org/10.1080/15435075.2023.2266744

X. Xiong, Y. Wang, K. Li, Z. Chen*. State of health estimation for lithium-ion batteries using Gaussian process regression-based data reconstruction method during random charging process, Journal of Energy Storage, 72(2023), 108390. https://doi.org/10.1016/j.est.2023.108390

M. Li, Y. Wang, P. Yu, Z. Sun, Z. Chen*. Online adaptive energy management strategy for fuel cell hybrid vehicles based on improved cluster and regression learner, Energy Conversion and Management, 292(2023), 117388. https://doi.org/10.1016/j.enconman.2023.117388

R. Xu, Y. Wang, Z. Chen*. Data-driven Battery Aging Mechanism Analysis and Degradation Pathway Prediction, Batteries, 9, 2(2023), 129. https://doi.org/10.3390/batteries9020129

R. Xu, Y. Wang, Z. Chen*. A hybrid approach to predict battery health combined with attention-based transformer and online correction, Journal of Energy Storage, 65(2023), 105769. https://doi.org/10.1016/j.est.2023.107365.107365

H. Yuan, Z. Sun, Y. Wang, Z. Chen*. Deep Reinforcement Learning Algorithm Based on Fusion Optimization for Fuel Cell Gas Supply System Control. World Electric Vehicle Journal. 14(2023), 50. https://doi.org/10.3390/wevj14020050

R. Xu, Y. Wang, Z. Chen*. A migration-based method for non-invasive revelation of microscopic degradation mechanisms and health prognosis of lithium-ion batteries, Journal of Energy Storage, 55(2022), 105769. https://doi.org/10.1016/j.est.2022.105769

J. Tian, X. Liu*, C. Chen, G. Xiao, Y. Wang, Y. Kang, P. Wang. Feature fusion-based inconsistency evaluation for battery pack: improved Gaussian mixture model, IEEE Transactions on Intelligent Transportation Systems, 24(2023), 446-458. https://doi.org/ 10.1109/TITS.2022.3211002

M. Li, P. Yu, Y. Wang, Z. Sun, Z Chen*. Topology comparison and sensitivity analysis of fuel cell hybrid systems for electric vehicles, IEEE Transactions on Transportation Electrification, early access. https://doi.org/10.1109/TTE.2022.3218341

P. Yu, M. Li, Y. Wang, Z Chen*. Fuel cell hybrid electric vehicles: a review of topologies and energy management strategies, World Electric Vehicle Journal, 13(2022), 172. https://doi.org/10.3390/wevj13090172

Q. Ding, Y. Wang, Z. Chen*. Parameter identification of reduced-order electrochemical model simplified by spectral methods and state estimation based on square-root cubature Kalman filter, Journal of Energy Storage, 46(2022), 103828. https://doi.org/10.1016/j.est.2021.103828

L. Wang, M. Li, Y. Wang, Z. Chen*. Energy Management strategy and Optimal sizing for Hybrid Energy Storage Systems Using an Evolutionary Algorithm, IEEE Transactions on Intelligent Transportation Systems, 36(2021), 11421-11430. https://doi.org/10.1109/TITS.2021.3126324

M. Li, L. Wang, Y. Wang, Z. Chen*. Sizing A Framework for States Co-estimation of Hybrid Energy Storage Systems Based on Fractional-order Theory, IEEE Journal of Emerging and Selected Topics in Power Electronics, 11(2023), 224-233. https://doi.org/10.1109/JESTPE.2021.3135019

M. Li, L. Wang, Y. Wang, Z. Chen*. Sizing Optimization and Energy Management Strategy for Hybrid Energy Storage System Using Multi objective Optimization and Random Forests, IEEE Transactions on Power Electronics, 36(2021): 11421-11430. https://doi.org/10.1109/TPEL.2021.3070393

G. Dong, W. Han*, Y. Wang. Dynamic Bayesian Network based Lithium-ion Battery Health Prognosis for Electric Vehicles, IEEE Transactions on Industrial Electronics, 68, 11, (2021), 10949-10958. https://doi.org/10.1109/TIE.2020.3034855

J. Tian, R. Xu, Y. Wang, Z. Chen*. Capacity attenuation mechanism modeling and health assessment of lithium-ion batteries, Energy, 221(2020), 119682. https://doi.org/10.1016/j.energy.2020.119682

R. Pan, D. Yang, Y. Wang, Z. Chen*. Health degradation assessment of proton exchange membrane fuel cell based on an analytical equivalent circuit model, Energy, 207(2020), 118185. https://doi.org/10.1016/j.energy.2020.118185

R. Pan, D. Yang, Y. Wang, Z. Chen*. Performance degradation prediction of proton exchange membrane fuel cell using a hybrid prognostic approach, International Journal of Hydrogen Energy, 45(2020), 55：30994-31008. https://doi.org/10.1016/j.ijhydene.2020.08.082

J. Tian, Y. Wang, Z. Chen*. An improved single particle model for lithium-ion batteries based on main stress factor compensation, Journal of Cleaner Production, 278(2020), 123456. https://doi.org/10.1016/j.jclepro.2020.123456

Z. Sun, Y. Wang, Z. Chen*. Min-max game based energy management strategy for fuel cell/ supercapacitor hybrid electric vehicles, Applied Energy, 267(2020), 115086. https://doi.org/10.1016/j.apenergy.2020.115086

J. Tian, Y. Wang, Z. Chen*. Sensor fault diagnosis for lithium-ion battery packs based on thermal and electrical models, International Journal of Electrical Power & Energy Systems, 121(2020), 106087. https://doi.org/10.1016/j.ijepes.2020.106087

D. Yang, Y. Wang, Z. Chen*. Robust fault diagnosis and fault tolerant control for PEMFC system based on an augmented LPV observer, International Journal of Hydrogen Energy, 45(2020): 13508-13522. https://doi.org/10.1016/j.ijhydene.2020.03.063

J. Tian, Y. Wang, C. Liu, Z. Chen*. Consistency evaluation and cluster analysis for lithium-ion battery pack in electric vehicles, Energy, 194(2020): 116944. https://doi.org/10.1016/j.energy.2020.116944

L. Wang, Y. Wang, C. Liu, D. Yang, Z. Chen*. A power distribution strategy for hybrid energy storage system using adaptive model predictive control, IEEE Transactions on Power Electronics, 35(2020): 5897-5906. https://doi.org/10.1109/TPEL.2019.2953050

D. Yang, R. Pan, Y. Wang, Z. Chen*. Modeling and control of PEMFC air supply system based on TS fuzzy theory and predictive control, Energy, 188(2019), 116078. https://doi.org/10.1016/j.energy.2019.116078

C. Liu, Y. Wang, L. Wang, Z. Chen*. Load-adaptive real-time energy management strategy for battery/ultracapacitor hybrid energy storage system using dynamic programming optimization, Journal of Power Sources, 438(2019), 227024. https://doi.org/10.1016/j.jpowsour.2019.227024

X. Li, Y. Wang, D. Yang, Z. Chen*. Adaptive energy management strategy for fuel cell/battery hybrid vehicles using Pontryagin's Minimal Principle, Journal of Power Sources, 440(2019), 227105. https://doi.org/10.1016/j.jpowsour.2019.227105

C. Liu, Y. Wang, Z. Chen*. Degradation model and cycle life prediction for lithium-ion battery used in hybrid energy storage system, Energy, 166(2019), 796-806. https://doi.org/10.1016/j.energy.2018.10.131

X. Tang, C. Zou, T. Wik, K. Yao, Y. Xia, Y. Wang, D. Yang, F. Gao*. Run-to-run control for active balancing of lithium iron phosphate battery packs, IEEE Transactions on Power Electronics, 35(2020), 2: 1499-1512. https://doi.org/10.1109/TPEL.2019.2919709

J. Tian, Y. Wang, D. Yang, X. Zhang, Z. Chen*. A real-time insulation detection method for battery packs used in electric vehicles, Journal of Power Sources, 385(2018), 1-9. https://doi.org/10.1016/j.jpowsour.2018.03.018

X. Zhang, Y. Wang, J. Wu, Z. Chen*. A novel method for lithium-ion battery state of energy and state of power estimation based on multi-time-scale filter, Applied Energy, 216(2018), 442-451. https://doi.org/10.1016/j.apenergy.2018.02.117

D. Yang, X. Zhang, R. Pan, Y. Wang, Z. Chen*. A novel Gaussian process regression model for state-of-health estimation of lithium-ion battery using charging curve, Journal of Power Sources, 384(2018), 387-395. https://doi.org/10.1016/j.jpowsour.2018.03.015

X. Zhang, Y. Wang, C. Liu, Z. Chen*. A novel approach of battery pack state of health estimation using artificial intelligence optimization algorithm. Journal of Power Sources, 376(2018), 191-199. https://doi.org/10.1016/j.jpowsour.2017.11.068

D. Yang, Y. Wang, R. Pan, R Chen, Z. Chen*. State-of-health estimation for the lithium-ion battery based on support vector regression, Applied Energy, 227(2018), 273-283. https://doi.org/10.1016/j.apenergy.2017.08.096

C. Liu, Y. Wang, Z. Chen*, Q. Ling. A variable capacitance based modeling and power capability predicting method for ultracapacitor, Journal of Power Sources, 374(2018), 121-133. https://doi.org/10.1016/j.jpowsour.2017.11.033

R. Pan, Y. Wang, X. Zhang, D. Yang, Z. Chen*, Power capability prediction for lithium-ion batteries based on multiple constraints analysis, Electrochimica Acta, 238(2017), 120-133. https://doi.org/10.1016/j.electacta.2017.04.004

X. Zhang, Y. Wang, C. Liu, Z. Chen*. A novel approach of remaining discharge energy prediction for large format lithium-ion battery pack, Journal of Power Sources, 343(2017), 216-225. https://doi.org/10.1016/j.jpowsour.2017.01.054

X. Zhang, Y. Wang, D. Yang, Z. Chen*. An on-line estimation of battery pack parameters and SOC method using dual filters based on pack model, Energy, 115(2016), 219-229. https://doi.org/10.1016/j.energy.2016.08.109

J. Wu, Y. Wang, X. Zhang, Z. Chen*. A novel state of health estimation method of Li-ion battery using group method of data handling, Journal of Power Sources, 327(2016), 457-464. https://doi.org/10.1016/j.jpowsour.2016.07.065

X. Tang, Y. Wang, Z. Chen*. A method for state-of-charge estimation of LiFePO4 batteries based on a dual-circuit state observer, Journal of Power Sources, 296(2015), 23-29. https://doi.org/10.1016/j.jpowsour.2015.07.028

Conference & Proceedings:

X. Zhang, Y. Wang, Digital twin of lithium-ion batteries for long short-term memory-based temperature estimation, The 4th International Conference on Power Engineering (ICPE 2023), Macau, China, 2023.12.11-2023.12.13. (口头报告，最佳口头报告奖)

Y. Wang, Intelligent Lithium-ion Battery Management and Control: Key Issues and Applications, The New Energy and Energy Storage System Conference (NEESSC 2023), Mianyang Sichuan, 2023.9.26-2023.9.28. (特邀报告)

Y. Wang, Key Technologies and Applications of Battery Management in Electric Vehicles, The 8th International Conference on Power and Renewable Energy (ICPRE 2023), Shanghai China, 2023.9.22-2023.9.25. (特邀报告)

H. Xiang, Y. Wang*, X. Zhang, Battery Capacity Degradation Trajectory Estimation for Real-World Electric Vehicles Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise, The 8th International Conference on Power and Renewable Energy (ICPRE 2023), Shanghai China, 2023.9.22-2023.9.25. (Poster, 最佳海报奖)

R. Xu, Y. Wang, Z. Chen. Signaling Game Approach for Energy Scheduling in the Community Microgrid, 5th International Conference on Energy Storage and Intelligent Vehicles, ICEIV 2022, Virtual, Online. (口头报告，线上)

汪玉洁, 电动汽车智能化电池管理系统集成、适配与管控关键技术及应用, 第六届电池设计与管理青年学者论坛, 西安, 2021-11-26至2021-11-27. (特邀报告，线上)

汪玉洁, 动力电池分数阶建模与优化充电控制, 首届系统仿真学报青年学者论坛, 重庆, 2021-10-11至2021-10-11. (特邀报告)

Y. Wang*, C. Zhou, X. Tang. High Fidelity Fractional Order Thermoelectric Model for Lithium-ion Battery Fast Charging, 34th International Electric Vehicles Symposium (EVS34), Nanjing, China, 2021.6.25-2021.6.28. (口头报告, Excellent Paper Award)

C. Zhou, K. Li, J. Tian, Y. Wang*. State of health estimation for lithium-ion battery based on the IC-LSTM framework, 34th International Electric Vehicles Symposium, Nanjing, China, 2021.6.25-2021.6.28. (口头报告)

汪玉洁，混合储能系统的建模与状态估计理论与方法, 第20届中国系统仿真技术及其应用学术年会, 新疆 乌鲁木齐, 2019-8-20至2019-8-24. (大会报告)

Y. Wang, C. Liu, R. Pan, Z. Chen*. State Estimation of Hybrid Energy Storage System using Fractional Order Models, 11th International Conference on Applied Energy, Västerås, Sweden, 2019.8.12-2019.8.15. (口头报告)

汪玉洁，基于贝叶斯方法的储能系统状态估计与优化控制研究, 第34届中国自动化学会青年学术年会, 辽宁 锦州, 2019-6-6至2019-6-8. (特邀报告)

Y. Wang, Z. Sun, Z. Chen*. A comparative study of power distribution strategies for fuel cell and supercapacitor hybrid power source system, 2nd International Conference on Energy, Ecology and Environment (ICEEE2018) & International Conference on Electric and Intelligent Vehicles (ICEIV2018), Melbourne, Australia, 2018.11.21-2018.11.25. (口头报告)

Y. Wang, Z. Sun, Z. Chen*. Rule-based energy management strategy of a lithium-ion battery, supercapacitor and PEM fuel cell system, 10th International Conference on Applied Energy (ICAE2018), Hong Kong, China, 22-25 August 2018. (口头报告)

Y. Wang, R. Pan, D. Yang, X. Tang, Z. Chen*, Remaining Useful Life Prediction of Lithium-ion Battery Based on Discrete Wavelet Transform, 8th International Conference on Applied Energy, ICAE 2016, Beijing, China, 2016.10.8-2016.10.11. (口头报告)

Y. Wang, C. Zhang, Z. Chen*, Model-based state-of-energy estimation of lithium-ion batteries in electric vehicles, Applied Energy Symposium and Summit on Low-Carbon Cities and Urban Energy Systems, CUE 2015, Fuzhou, China, 2015.11.15-2015.11.17. (口头报告)

Y. Wang, C. Zhang, Z. Chen*, State-of-charge Estimation of Lithium-ion Batteries Based on Multiple Filters Method, 7th International Conference on Applied Energy, ICAE 2015, Abu Dhabi, United Arab Emirates, 2015.3.28-2015.3.31. (口头报告)