Publications

G. Dong, J. Wei, C. Zhang, Z. Chen. “Online state of charge estimation and open circuit voltage hysteresis modeling of LiFePO4 battery using invariant imbedding method”. Applied Energy, Vol. 162(0), pp: 163-171, Jan. 2016. [Link]

G. Dong, Z. Chen. “Data driven Energy Management in a home Microgrid Based on Bayesian Optimal Algorithm.” IEEE transaction on Industrial informatics. vol. 15(2), pp: 869-877, 2018. [Link]

G. Dong, Z. Chen, J. Wei, Q. Ling. Battery health prognosis using brownian motion modeling and particle filtering. IEEE Transactions on Industrial Electronics, 65(11): 8646-8655, 2018. [Link]

Z. Wei, D. Zhao, H. He, W. Cao, G. Dong, "A noise-tolerant model parameterization method for lithium-ion battery management system " Applied Energy, vol 268, pp. 114932. [Link]

G. Dong, F Yang, KL Tsui, C Zou, "Active Balancing of Lithium-Ion Batteries Using Graph Theory and A-Star Search Algorithm " in IEEE Transactions on Industrial Informatics. [Link]

Z. Wei, G. Dong, X. Zhang, J. Pou, Z. Quan and H. He, "Noise-Immune Model Identification and State of Charge Estimation for Lithium-ion Battery Using Bilinear Parameterization," in IEEE Transactions on Industrial Electronics. [Link]

G. Dong, F. Yang, Z. Wei, J. Wei and K. Tsui, "Data-driven Battery Health Prognosis Using Adaptive Brownian Motion Model," in IEEE Transactions on Industrial Informatics. [Link].

C. Zhang, Y. Zhu, G. Dong*, and J. Wei. "Data-driven Lithium-ion Battery States Estimation Using Neural Networks and Particle Filtering" International Journal of Energy Research, (to appear), 2019. [Link]

J. Wei, G. Dong*, and Z Chen. "Lyapunov-based thermal fault diagnosis of cylindrical lithium-ion batteries." IEEE Transactions on Industrial Electronics, (to appear), 2019 [Link].

C. Zhang, X. Yu, G. Dong, J. Wei, Z. Chen, “A Method for Remaining Discharge Time Prediction of Lithium-ion Batteries under Dynamic Uncertainty,” International Journal of Energy Research, (to appear), 2019. [Link]

G. Dong, Z. Chen, J. Wei. Sequential Monte Carlo filter for state of charge estimation of lithium-ion batteries based on auto regressive exogenous model, IEEE Transactions on Industrial Electronics. (to appear), 2019. [Link]

Z. Wei, J. Zhao, R. Xiong, G. Dong, J. Pou, K. Tseng, “Online Estimation of Power Capacity with Noise Effect Attenuation for Lithium-Ion Battery,” IEEE Transactions on Industrial Electronics, (to appear), 2019. [Link]

F. Yang, X. Song, G. Dong∗, and K.-L. Tsui, ”A coulombic efficiency-based model for prognostics and health estimation of lithium-ion batteries,” Energy, vol. 171, pp. 1173-1182, 2019. [Link]

Z. Chen, H. Sun, G. Dong, J. Wei, and J. Wu, ”Particle filter-based state-of-charge estimation and remaining-dischargeable-time prediction method for lithium-ion batteries,” Journal of Power Sources, vol. 414, pp. 158-166, 2019. [Link]

G. Dong, Z. Chen. “Data driven Energy Management in a home Microgrid Based on Bayesian Optimal Algorithm.” IEEE transaction on Industrial informatics. vol. 15(2), pp: 869-877, 2018. [Link]

G. Dong, J. Wei, Z. Chen. “Constrained Bayesian dual-filtering for state of charge estimation of lithium-ion batteries”. International Journal of Electrical Power and Energy Systems. vol. 99C, pp: 516-524, 2018. [Link]

G. Dong, Z. Chen, J. Wei, Q. Ling. Battery health prognosis using brownian motion modeling and particle filtering. IEEE Transactions on Industrial Electronics, 65(11): 8646-8655, 2018. [Link]

J. Wei, G. Dong, et al. “Lyapunov-Based state of charge diagnosis and health prognosis for lithium-ion batteries”, Journal of Power Sources, vol. 397, pp 352-360, 2018. [Link]

J. Wei, G. Dong, et al. “On-board adaptive model for state of charge estimation of lithium-ion batteries based on Kalman filter with proportional integral-based error adjustment”. Journal of Power Sources, Vol. 365C, pp: 308-319, 2017. [Link]

G. Dong, J. Wei, Z. Chen, et al. “Remaining dischargeable time prediction for lithium-ion batteries using unscented Kalman filter”. Journal of Power Sources, Vol. 264(0), pp: 316–327, Oct. 2017. [Link]

J. Wei, G. Dong, et al. “Remaining Useful Life Prediction and State of Health Diagnosis for Lithium-Ion Batteries Using Particle filter and Support Vector Regression,” IEEE Transactions on Industrial Electronics, 65(7): 5634-5643, 2018. [Link]

J. Wei, G. Dong, Z. Chen, et al. “System state estimation and optimal energy control framework for multicell lithium-ion battery system”. Applied Energy, Vol. 187(0), pp: 37-49, Feb. 2017. [Link]

G. Dong, J. Wei, Z. Chen. “Kalman filter for onboard state of charge estimation and peak power capability analysis of lithium-ion batteries”. Journal of Power Sources, Vol. 328(0), pp: 615-626, Oct. 2016. [Link]

G. Dong, Z. Chen, J. Wei, C. Zhang, P. Wang. “An online model-based method for state of energy estimation of lithium-ion batteries using dual filters”. Journal of Power Sources, Vol. 301(0), pp: 277-286, Jan. 2016. [Link]

G. Dong, J. Wei, C. Zhang, Z. Chen. “Online state of charge estimation and open circuit voltage hysteresis modeling of LiFePO4 battery using invariant imbedding method”. Applied Energy, Vol. 162(0), pp: 163-171, Jan. 2016. [Link]

G. Dong, X. Zhang, C. Zhang, Z. Chen. “A method for state of energy estimation of lithium-ion batteries based on neural network model”. Energy, Vol. 90P1, pp: 879-888, Oct. 2015. [Link]

G. Dong, J. Wei, Z. Chen, "A Method for Peak Power Prediction of Series-Connected Lithium-ion Battery Pack Using Extended Kalman Filter," International Journal of Mechanical Engineering and Robotics Research, Vol 6, No. 2, 2016. [Link]