First/Corresponding author:

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*, 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, 2023, 57. https://doi.org/10.3390/wevj14030057

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, early access. 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. A 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, early access. 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:

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

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, early access. 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, early access. 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