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个人简介

董广忠博士分别于2013年和2018年在中国科学技术大学自动化系获得学士和博士学位。博士毕业后分别于2018年7月至2018年12月在香港城市大学、2018年12月至2020年4月在瑞典查尔莫斯理工大学、2020年11月至2021年10月在新加坡南洋理工大学从事博士后研究。2021年10月,入职任哈尔滨工业大学(深圳)机电工程与自动化学院控制学科副教授。主要从事于电池储能系统建模、估计、优化控制、故障预后与健康管理等领域的研究。在电池管理控制领域知名SCI期刊发表学术论文40余篇,其中以第一作者及通信作者身份发表20余篇。曾于2018年获得中国科学院院长特别奖。欢迎对电池储能控制管理技术感兴趣的同学以及同仁联系交流。 教育经历 2009.09-2013.06: 中国科学技术大学,自动化,本科 2013.09-2018.06: 中国科学技术大学,控制科学与工程,博士 工作经历 2018.07-2018.12: 香港城市大学,数据科学学院,博士后 2018.12-2020.04: 瑞典查尔莫斯利工大学,电气工程学院,博士后 2020.11-2021.09: 新加坡南洋理工大学,电子与电气工程学院,博士后

研究领域

理论研究 复杂系统行为建模与状态估计、机器学习与优化控制、故障预后与健康管理 应用研究 锂离子电池储能、电动汽车、智能微网等

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

一作期刊论文 G. Dong, Y. Feng, Y. Wang, and J. Wei, "Probabilistic dischargeable time forecasting of power batteries via statistical characterization of future loading profiles" Journal of Energy Storage, Accepted. 2022. G. Dong, F. Yang, K. L. Tsui, and C. Zou, "Active Balancing of Lithium-Ion Batteries Using Graph Theory and A-Star Search Algorithm," IEEE Transactions on Industrial Informatics, vol. 17, no. 4, pp. 2587-2599, 2021, [pdf]. G. Dong, Y. Xu, and Z. Wei, "A Hierarchical Approach for Finite-time H- State Observer and Probabilistic Lifetime Prediction of Lithium-Ion Batteries," IEEE Transactions on Energy Conversion, Early Acess, [pdf]. G. Dong and J. Wei, "A physics-based aging model for lithium-ion battery with coupled chemical/mechanical degradation mechanisms," Electrochim Acta, p. 139133, 2021/08/31/ 2021. [pdf] G. Dong and M. Lin, "Model-based thermal anomaly detection for lithium-ion batteries using multiple-model residual generation," Journal of Energy Storage, vol. 40, p. 102740, 2021/08/01/ 202. [pdf] G. Dong, W. Han, and Y. Wang, "Dynamic Bayesian Network-Based Lithium-Ion Battery Health Prognosis for Electric Vehicles," IEEE Transactions on Industrial Electronics, vol. 68, no. 11, pp. 10949-10958, 2021. [pdf] G. Dong, F. Yang, Z. Wei, J. Wei, and K. Tsui, "Data-Driven Battery Health Prognosis Using Adaptive Brownian Motion Model," IEEE Transactions on Industrial Informatics, vol. 16, no. 7, pp. 4736-4746, 2020. [pdf] G. Dong and J. Wei, "Determination of the load capability for a lithium-ion battery pack using two time-scale filtering," Journal of Power Sources, vol. 480, p. 229056, 2020/12/31/ 2020. [pdf] G. Dong, Z. Chen, and 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, vol. 66, no. 11, pp. 8533-8544, 2019. [pdf] G. Dong, J. Wei, and Z. Chen, "Constrained Bayesian dual-filtering for state of charge estimation of lithium-ion batteries," International Journal of Electrical Power & Energy Systems, vol. 99, pp. 516-524, 7// 2018. [pdf] G. Dong, Z. Chen, J. Wei, and Q. Ling, "Battery Health Prognosis Using Brownian Motion Modeling and Particle Filtering," IEEE Transactions on Industrial Electronics, vol. 65, no. 11, pp. 8646-8655, 2018. [pdf] G. Dong and Z. Chen, "Data Driven Energy Management in a Home Microgrid Based on Bayesian Optimal Algorithm," IEEE Transactions on Industrial Informatics, vol. PP, no. 99, pp. 1-1, 2018. [pdf] G. Dong, J. Wei, Z. Chen, H. Sun, and X. Yu, "Remaining dischargeable time prediction for lithium-ion batteries using unscented Kalman filter," Journal of Power Sources, vol. 364, pp. 316-327, 10/1/ 2017.[pdf] G. Dong, J. Wei, C. Zhang, and Z. Chen, "Online state of charge estimation and open circuit voltage hysteresis modeling of LiFePO4 battery using invariant imbedding method," Applied Energy, vol. 162, pp. 163-171, 1/15/ 2016.[pdf] G. Dong, J. Wei, and 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, pp. 615-626, 10/1/ 2016.[pdf] G. Dong, Z. Chen, J. Wei, C. Zhang, and 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, pp. 277-286, 1/1/ 2016.[pdf] G. Dong, X. Zhang, C. Zhang, and Z. Chen, "A method for state of energy estimation of lithium-ion batteries based on neural network model," Energy, vol. 90, Part 1, pp. 879-888, 10// 2015.[pdf] 通讯作者论文 J. Wei, C. Chen, and G. Dong*,"Global Sensitivity Analysis for Impedance Spectrum Identification of Lithium-Ion Batteries Using Time-Domain Response", IEEE Transactions on Industrial Electronics, Accepted, 2022. W. Han, A. Kersten, C. Zou, T. Wik, X. Huang, and G. Dong*, "Analysis and Estimation of the Maximum Switch Current during Battery System Reconfiguration," IEEE Transactions on Industrial Electronics, Early Access, 2021. [pdf] 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, 2019/03/15/ 2019. [pdf] J. Wei, G. Dong*, and Z. Chen*, "Lyapunov-based thermal fault diagnosis of cylindrical lithium-ion batteries," IEEE Transactions on Industrial Electronics, pp. 1-1, 2019. [pdf] 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, vol. 43, no. 14, pp. 8230-8241, 11/1/2019 2019. [pdf]

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