教育经历：

1982年–1986年, 山东工业大学, 工业自动化仪表, 学士

1986年–1988年, 山东工业大学, 工业自动化, 硕士研究生

2003年–2006年, 天津大学, 电力电子与电力传动（从事控制科学与工程）, 博士研究生

工作经历：

1988年–2024年，青岛大学自动化/电气工程学院, 讲师/副教授/教授

2004年–2005年，美国田纳西大学学校，访问学者

2025年–至今，福耀科技大学, 智造与未来技术学院，研究员

主要项目：

[1] 王冬青等, 基于数据驱动的动力电池多模型融合建模与状态估计, 国家自然科学基金项目, 62273190, 2023.01-2026.12. (主持)

[2] 王冬青等, 基于数据特征的多模态过程辨识建模方法, 国家自然科学基金项目, 61873138, 2019.01-2022.12. (主持)

[3] 王冬青等, 复杂网络拓扑与参数的辨识, 国家自然科学基金项目, 61573205, 2016.01-2019.12. (主持)

发明专利：

[1] 王冬青, 韩光亭等. 基于PLC的束状染色机染液组分在线检测方法. 专利号: 2011104124692, 授权日期: 2013.09.11.

[2] 王冬青, 宋桂玲等. 基于板卡的束状染色机染液组分在线检测方法. 专利号: 2011104120687, 授权日期: 2013.07.17.

[3] 王冬青, 尹生强等. 一种基于模拟开关的电动汽车充电控制导引电路. 专利号: 2015105736529, 授权日期：2017.06.06.

[4] 王冬青, 叶志明等. 一种基于晶体管的电动汽车充电控制导引电路. 专利号: 2015105722494, 授权日期：2018.07.03.

[5] 王冬青, 张震等. 一种基于策略迭代和聚类的交通信号优化控制方法. 专利号: 2016106967489, 授权日期：2018.12.07.

[6] 张震, 王冬青等. 一种装袋机双扒土机构节能联动控制系统, 专利号: 2016101631537, 授权日期：2017.05.31.

[7] 张震, 王冬青等. 基于聚类强化学习的城市道路交叉口交通信号优化方法, 专利号: 2015106542944, 授权日期：2017.03.15.

代表性论文：

[1] Wang DQ^∗(王冬青), Zhang S, Gan M, Qiu JL, A novel EM identification method for Hammerstein systems with missing output data, IEEE Transactions on Industrial Informatics, 2020, 16(4): 2500-2508. SCI, 一区, IF: 10.215

[2] Wang DQ(王冬青), Yang Y, Gu TY*, A hierarchical adaptive extended Kalman filter algorithm for lithium-ion battery state of charge estimation, Journal of Energy Storage, 2023, 62,106831. SCI, 二区, IF: 8.9

[3] Zheng YQ(硕士生), Ding J, Liu F, Wang DQ*(王冬青), Adaptive neural decision tree for EEG based emotion recognition, Information Sciences, 2023, 643, 119160. SCI, 一区, IF: 8.1

[4] Wang DQ(王冬青), Key-term separation based hierarchical gradient approach for NN based Hammerstein battery model, Applied Mathematics Letters, 2024, 157, 109207. SCI, 二区, IF: 2.9

[5] Jiao M(硕士生), Wang DQ*(王冬青), Qiu JL, A GRU-RNN based momentum optimized algorithm for SOC  estimation, Journal of Power Sources, 2020, 459, 228051. SCI, 一区, IF: 9.127

[6] Jiao M(硕士生), Wang DQ^∗(王冬青), Yang Y, Liu F, More intelligent and robust estimation of battery state-of-charge with an improved regularized extreme learning machine, Engineering Applications of Artificial Intelligence, 2021, 104(2), Article ID: 104407. SCI, 二区, IF: 7.802

[7] Hu HY, Xie ZK,Wang DQ^∗(王冬青), Temporal pattern attention based Hammerstein model for estimating battery SOC, Journal of Energy Storage, 2024, 100, 113666. SCI, 二区, IF: 8.9

[8] Li ZX(硕士生), Li LW, Chen J, Wang DQ^∗(王冬青), A multi-head attention mechanism aided hybrid network for identifying batteries’ state of charge, Energy, 2024, 286, 129504. SCI, 一区, IF: 9.0

[9] Li ZX(硕士生), Yang Y, Li LW, Wang DQ*(王冬青), A weighted Pearson correlation coefficient based multi-fault comprehensive diagnosis for battery circuits, Journal of Energy Storage, 2023, 60, 2023, 106584. SCI,二区, IF: 8.9

[10] Li YX(硕士生), Wang DQ^∗(王冬青), Liu F, The auto-correlation function aided sparse support matrix machine for EEG-based fatigue detection, IEEE Transactions on Circuits and Systems II: Express Briefs, 2023, 70(2): 836-840. DOI: 10.1109/TCSII.2022.3211931. SCI, 二区, IF: 4.4

[11] Zhang Z, Wang DQ(王冬青), Gao JW, Learning automata-based multiagent reinforcement learning for optimization of cooperative tasks, IEEE Transactions on Neural Networks and Learning Systems, 2021, 32 (10): 4639-4652. SCI, 一区, IF: 14.255

[12] Chen J, Wang DQ(王冬青), Liu YJ, Zhu QM, Varying infimum gradient descent algorithm for agent-sever systems using different order iterative preconditioning methods, IEEE Transactions on Industrial Informatics, 2022, 18(7): 4436-4446. SCI, 一区, IF: 11.648

[13] Zhang Z*, Ong YS, Wang DQ(王冬青), Xue BQ, A collaborative multiagent reinforcement learning method based on policy gradient potential, IEEE Transactions on Cybernetics, 2021, 51 (2): 1015-1027. SCI,一区, IF: 19.118

[14] Zhang BY(硕士生), Li DH, Wang DQ(王冬青), DCT based multi-head attention-BiGRU model for EEG source location, Biomedical Signal Processing and Control, 2024, 93, 106171. SCI, 二区, IF: 4.9

[15] Wang DQ*(王冬青), Fan QH, Ma Y, An interactive maximum likelihood estimation method for multivariable Hammerstein systems, Journal of the Franklin Institute, 2020, 357: 12986-13005. SCI, 二区, IF: 4.504

[16] Jiao M(硕士生), Wang DQ*(王冬青), The Savitzky-Golay filter based bidirectional long short-term memory network for SOC estimation, International Journal of Energy Research, 2021, 45(13): 19467-19480. SCI,二区, IF: 4.672

[17] Jiao M(硕士生), Wan GH, Guo YX, Wang DQ(王冬青), Liu H, Xiang J, Liu F, A graph Fourier transform based bidirectional long short-term memory neural network for electrophysiological source imaging, Frontiers in Neuroscience, 2022, 16, 867466. SCI, 三区, IF: 5.152

[18] Liu ZP(硕士生), Jing Chen J ,Fan QH, Wang DQ*(王冬青), A key-term separation based least square method for Hammerstein SOC estimation model, Sustainable Energy, Grids and Networks, 2023, 35, 101089. SCI, 三区, IF: 5.4

[19] Gu TY(硕士生), Wang DQ*(王冬青), Jiao M, A Fletcher-Reeves conjugate gradient optimized multi-reservoir echo state network for SOC estimation in vehicle battery, International Journal of Energy Research, 2022, 46(10): 13463-13475. SCI, 三区, IF: 4.672

[20] Gu TY(硕士生), Wang DQ*(王冬青), A beetle antennae search optimized recurrent extreme learning machine for battery state of charge estimation, International Journal of Energy Research, 2022, 46(13): 19190-19205. SCI, 三区, IF: 4.672

[21] Xu JY(硕士生), Wang DQ*(王冬青), A dual-rate sampled multiple innovation adaptive Extended Kalman  filter algorithm for state of charge estimation, International Journal of Energy Research, 2022, 46(13): 18796-18808. SCI, 三区, IF: 4.672

[22] Wang DQ^∗(王 冬 青), Ding F, Chu YY, Data filtering based recursive least squares algorithm for Hammerstein systems using the key-term separation principle, Information Sciences, 2013, 222: 203-212. SCI, 一区, IF: 4.832

[23] Wang DQ^∗(王冬青), Ding F, Parameter estimation algorithms for multivariable Hammerstein CARMA systems, Information Sciences, 2016, 355-356: 237-248. SCI, 二区, IF: 4.832

[24] Wang DQ^∗(王冬青), Wei Z, Improved least squares identification algorithm for multivariable Hammerstein systems, Journal of the Franklin Institute-Engineering and Applied Mathematics, 2015, 352(11): 5292-5307. SCI, 二区, IF: 3.139

[25] Wang DQ^∗(王冬青), Ding F, Liu XM, Least squares algorithm for an input nonlinear system with a dynamic subspace state space model, Nonlinear Dynamics, 2014, 75(1-2): 49-61. SCI, 二区, IF: 3.464

[26] Wang DQ^∗(王冬青), Ding F, Hierarchical least squares estimation algorithm for Hammerstein-Wiener systems, IEEE Signal Processing Letters, 2012, 19 (12): 825-828. SCI, 三区, IF: 2.528

[27] Wang DQ^∗(王冬青), Li LW, et al., Model recovery for Hammerstein systems using the auxiliary model based orthogonal matching pursuit method, Applied Mathematical Modelling, 2018, 54 : 537-550. SCI, 数学类一区, IF: 2.350

[28] Wang DQ^∗(王冬青), Yan YR, Liu YJ, Ding JH, Model recovery for Hammerstein systems using the hierarchical orthogonal matching pursuit method, Journal of Computational and Applied Mathematics, 2019, 345: 135-145. SCI, 数学类二区, IF: 2.037

[29] Wang DQ^∗(王冬青), Mao L, Ding F, Recasted models based hierarchical extended stochastic gradient method for MIMO nonlinear systems, IET Control Theory and Applications, 2017, 11(4): 476-485. SCI, 三区, IF: 2.536

[30] Wang DQ^∗(王冬青), Liu HB, Ding F, Highly efficient identification methods for dual-rate Hammerstein systems, IEEE Transactions on Control Systems Technology, 2015, 23(5): 1952-1960. SCI, 二区, IF: 5.312

[31] Wang DQ^∗(王冬青), Hierarchical parameter estimation for a class of MIMO Hammerstein systems based on the reframed models, Applied Mathematics Letters, 2016, 57: 13-19. SCI, 数学类二区, IF: 3.848 2016年中国百篇最具影响国际学术论文

[32] Wang DQ^∗(王冬青), Ding F, Least squares based and gradient based iterative identification for Wiener nonlinear systems, Signal Processing, 2011, 91(5): 1182-1189. SCI, 二区, IF: 4.384 2011年中国百篇最具影响国际学术论文, 2014欧洲信号处理协会最佳论文奖

荣誉称号：

[1] 享受国务院颁发政府特殊津贴, 中华人民共和国国务院, 2015

[2] 入选斯坦福全球前2％顶尖科学家榜单, 2017-2024

[3] 2018年获得科睿唯安全球“高被引科学家”称号

[4] 2018年度青岛市三八红旗手, 2019.03

[5] 入选爱思唯尔中国高被引学者榜单, 2020-2024

荣誉奖项：

[1] 王冬青等. 系统辨识新方法的研究, 2011年山东高等学校优秀科研成果自然科学一等奖, 山东省教育厅, No.2011BZ10039, 2011.12. (排名第1)

[2] 王冬青等. 2011中国最具影响百篇国际学术论文, 中国科学技术信息研究所, 2012,10. (排名第1)

[3] 王冬青等. 模块化非线性系统辨识方法的研究, 青岛市科学技术奖自然科学类二等奖, 青岛市人民政府, No.Z2012-2-2-1, 2013.01. (排名第1)

[4] 王冬青等. 一类复杂系统参数估计方法的研究, 山东省科学技术奖自然科学类二等奖, 山东省人民政府, No.ZR2013-2-1-R01, 2014.02. (排名第1)

[5] 王冬青等. 最佳论文奖, 欧洲信号处理协会, 2014.09. (排名第1)

[6] 王冬青等. 新型参数估计方法研究, 2016年度山东省高等学校科学技术奖一等奖, 山省教育厅, No.2016BK10158, 2016.12. (排名第1)

[7] 王冬青等. 2016中国最具影响百篇国际学术论文, 中国科学技术信息研究所, 2017,10. (独立)

[8] 王冬青等. 模块化动态系统辨识方法研究, 山东省科学技术奖自然科学类二等奖, 山东省人民政府, No.ZR2018-2-7-R01, 2019.02. (排名第1)

[9] 王冬青等. 2019年I.J. of Control, Automation and Systems期刊最佳论文奖.(排名第1)