header
刘侃

发布于:2018-03-26 星期一 00:52:54 点击数:16733

暂无信息

基本信息

刘侃.png

姓名: 刘侃

个人信息与联系方式

出生日期: 09/12/1982Email: lkan@hnu.edu.cn or lkan@live.cn

通信地址: 湖南大学机械与运载工程学院186信箱,410082

Mail box No. 186

Department of Electro-Mechanical Engineering

College of Mechanical and Vehicle Engineering

Hunan University

Changsha

410082


中文个人简介 (Biography in Chinese)

刘侃,现为湖南大学机械与运载工程学院教授、博导,入选国家高层次人才计划,汽车电子与控制技术教育部工程研究中心主任,湖南省乘用车电驱动系统工程技术研究中心副主任(湖南大学-中车株洲所联合中心),入选“2019年度湖湘高层次人才聚集工程”;共发表论文50余篇,其中在本学科顶级IEEE期刊上发表论文20余篇,现为IEEE高级会员(IEEE senior member),SCI二区期刊IEEE Access编委(Associate Editor),《中国电工技术学会电机与系统学报(CES TEMS)》编委(Associate Editor),并主持了多个牵引传动控制和运载装备全电驱动的国际期刊特刊; 常年为10余个IEEE/IET权威期刊担任审稿人,并荣获2016年国际期刊IJAC年度优秀审稿人奖、2018年度湖南大学长丰优秀教师奖、2019年东华软件青年学者、国际著名会议ICEMS2019最佳论文奖(Best Paper Award)。

英文个人简介(Biography):

Prof. Kan Liu (IEEE M’14, SM’17) received his Beng in Automation Engineering in 2005 from the Hunan University (founded in 976 AD, it is now a member of Project 985 and sponsored by the Ministry of Education of China aiming to become a world-class university) and then started to work toward his combined master and doctor degree in Control Theory and Control Engineering. In 2008, he got a scholarship from the China Scholarship Council and became a joint PhD student between the Hunan University and the University of Sheffield. Since then, he had spent more than seven years studying and working in the EMD group of the University of Sheffield, led by Professor Z.Q. Zhu and received his first PhD in Control Theory and Control Engineering from the Hunan University in 2011, and his second PhD in Electronics and Electrical Engineering from the University of Sheffield in 2013, respectively. From 2013 to 2016, he was a research associate in the EMD group of the University of Sheffield. From 2016 to 2017, he was a lecturer in the Control Systems group of the Loughborough University. Since 14 September, 2017, he has been a professor with the College of Mechanical and Vehicle Engineering, Hunan University. He also has honors and academic duties listed below: 

Associate editor of IEEE access

Director of Engineering Research Center of Ministry of Education on Automotive Electronics and Control Technology

Vice-director of Engineering Technology Research Center for Electric Drive System of Passenger Car, Hunan Province (a joint research center funded by Hunan University and CRRC Zhuzhou)

Award winner of Outstanding Reviewer of IJAC in 2016

Young Talented Donghua Software Scholar

Award winner of HNU Changfeng Outstanding Teacher in 2018

Award winner of national high-level talent projects of China, 2019

Award winner of the High-level Talent Gathering Project of Hunan Province, 2019


教育背景

01/09/2001-01/07/2005 湖南大学自动化专业本科学历

Bachelor degree in Automation, Hunan University.

01/09/2005-01/07/2007 湖南大学控制理论与控制工程专业攻读硕士学位

Postgraduate student, Control theory and control engineering, Hunan University.

01/09/2007-13/03/2011 湖南大学控制理论与控制工程专业博士学位.

博士论文 “永磁同步电机多参数在线辨识研究”获评2012年湖南大学优秀博士论文

Ph.D. degree in Control theory and control engineering, Hunan University.

Ph.D. thesis: “Research on the Online Multi-parameter Identification of Permanent Magnet Synchronous Machines”, Ph.D. thesis, Hunan University, 2011. (Award winner of annual outstanding Ph.D. thesis of Hunan University, 2012)

01/09/2008-16/10/2010 受国家留学基金委资助在英国谢菲尔德大学以联合培养博士身份进行研究工作

Joint Ph.D. student in EMD group, University of Sheffield (Sponsored by China Scholarship Council).

01/10/2011-23/12/2013 两年时间(谢菲尔德大学规定最短毕业时间)获得英国谢菲尔德大学电子电气工程系博士学位,博士论文题目为 “Novel Techniques for Parameter Estimation of Permanent Magnet Synchronous Machines”.

Two years (the minimum time requirement of the University of Sheffield) to get the Ph.D. degree of electrical engineering from the University of Sheffield.

Ph.D. thesis: “Novel Techniques for Parameter Estimation of Permanent Magnet Synchronous Machines”. Ph.D. degree officially awarded on 23, December, 2013.

01/11/2013-31/08/2016 谢菲尔德大学助理研究员

Research associate in EMD group, University of Sheffield.

01/09/2016-21/12/2017 拉夫堡大学控制系统组讲师(永久职位)

Lecturer in Control Systems(Open-ended post), Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University

14/09/2017- 湖南大学机械与运载工程学院机电工程系教授、博导

Professor in Electro-mechanical Engineering, College of Mechanical and Vehicle Engineering, Hunan University.

1/03/2019- 入选国家高层次人才计划

Selected into the national high-level talent program

1/08/2019- 入选湖南省“2019年度湖湘高层次人才聚集工程”

Selected into the High-level Talent Gathering Project of Hunan Province, 2019


学术兼职

研究领域

轨道交通、电动/混动汽车、潜航器先进牵引传动控制技术 / Advanced traction control techniques for rail transits, EVs /HEVs, and UUVs.

精密伺服控制技术/ Accurate servo control techniques.

永磁电机的结构设计、优化、温度场分析、损耗模型分析 / Structure design, optimization, temperature field and loss model analyses for PM machines.

DC/DC电源和特种驱动器设计 /Design of DC/DC power source and special drive controller

运载装备主动减振控制技术/Active suppression techniques for transport vehicles.


科研项目

“电动汽车用永磁同步电机转子温度分布建模方法和观测技术,” 中国国家自然科学基金面上项目, 项目号51877075, 2019/1/1-2022/12/31. (项目主持人)

“Modeling approaches and observation techniques for rotor temperature distribution of permanent magnet synchronous machines designed for electric vehicles,” National Natural Science Foundation of China, project No. 51877075, 2019/1/1-2022/12/31. (Role: Principal investigator)


“基于电机电信号的转子轴承故障诊断和状态监测,” 湖南大学和中车株洲所合作项目, 2019/8/1-2021/8/1. (项目主持人)


湖湘高层次人才聚集工程-创新人才项目,课题编号:S2019RSCXRC0094,2019/8/1-2022/7/31. (项目主持人)


XXXX生产应用示范平台, 2019年国家新材料生产应用示范平台建设项目(子任务),2019年1月-2021年12月. (项目主持人)


XX及XXXX生产应用示范平台, 2019年国家新材料生产应用示范平台建设项目(子任务),2019年1月-2021年12月. (项目主持人)


“基于SiC器件的高功率密度车用电机驱动控制技术研究,” 汽车车身先进设计制造国家重点实验室自主研究课题, 课题编号:71865008, 2018/12-2021/10. (项目主持人)

“SiC power device based drive control of high power density electrical machines for electric vehicles”, open research fund of State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, no. 71865008, 2018/12-2021/10. (Role: Principal investigator)


“基于新型宽禁带功率器件的一体化永磁同步电机电机伺服系统,” 省部共建电工装备可靠性与智能化国家重点实验室开放课题, 课题编号:EERIKF2018007, 2018/12-2020/10. (项目主持人)

“Servo drive system using permanent magnet synchronous machines with built-in wide band-gap power devices”,open research fund of State Key Laboratory of Reliability and Intelligence of Electrical Equipment, no. EERIKF2018007, 2018/12-2020/10. (Role: Principal investigator)


“非线性动态欠秩系统多参数辨识与状态估计,” 中国国家自然科学基金面上项目, 项目号61174140, 2012-2017. (项目第二负责人)

“Multi-parameter identification and state estimation for nonlinear dynamic rank deficient systems,” National Natural Science Foundation of China, project No. 61174140, 2012-2017. (Role: second principal investigator)


“Multi-parameter estimation and fault diagnosis for PMSG”, 谢菲尔德西门子风电研究中心项目, 2011-2013. (博士研究生,西门子第三方员工)

“Multi-parameter estimation and fault diagnosis for PMSG”, Sheffield Siemens Wind Power Research Center project, 2011-2013. (Role: Ph.D. student & Third party staff of Siemens)


“Parameter identification of PM synchronous machines”, 谢菲尔德大学与中车株洲所合作项目, 2013-2016. (助理研究员)

“Parameter identification of permanent magnet synchronous machines”, Collaboration project between University of Sheffield and CRRC (China Railway Rolling Stock Corporation) Zhuzhou, 2013-2016. (Role: Research associate)


学术成果

[1] K. Liu, Q. Zhang, J.T. Chen, Z.Q. Zhu, J. Zhang, and A.W. Shen, “Online multiparameter estimation of nonsalient pole PM synchronous machines with temperature variation tracking,” IEEE Trans. Ind. Electron., vol. 58, no. 5, pp. 1776-1788, May. 2011. (SCI impact factor 7.503 in 2019)

[2] K. Liu, Z.Q. Zhu, and D.A. Stone, “Parameter estimation for condition monitoring of PMSM stator winding and rotor permanent magnets,” IEEE Trans. Ind. Electron., vol. 60, no. 12, pp. 5902-5913, Dec 2013. (SCI impact factor 7.503 in 2019)

[3] K. Liu, Z.Q. Zhu, Q. Zhang, and J. Zhang, “Influence of nonideal voltage measurement on parameter estimation in permanent magnet synchronous machines,” IEEE Trans. Ind. Electron., vol. 59, no. 6, pp. 2438-2447, Jun. 2012. (SCI impact factor 7.503 in 2019)

[4] K. Liu, and Z.Q. Zhu, “Online estimation of the rotor flux linkage and voltage source inverter nonlinearity in permanent magnet synchronous machine drives,” IEEE Trans. Power Electron., vol. 29, no. 1, pp. 418-427, 2014. (SCI impact factor 7.224 in 2019)

[5] K. Liu, and Z.Q. Zhu, “Position offset based parameter estimation using the Adaline NN for condition monitoring of permanent magnet synchronous machines,” IEEE Trans. Ind. Electron. vol. 62, no. 1, pp. 2372-2383, 2015. (SCI impact factor 7.503 in 2019)

[6] K. Liu, and Z.Q. Zhu, “Quantum genetic algorithm based parameter estimation of PMSM under variable speed control accounting for system identifiability and VSI nonlinearity,” IEEE Trans. Ind. Electron., vol. 62, no. 4 , pp. 2363-2371, 2015. (SCI impact factor 7.503 in 2019)

[7] K. Liu, and Z.Q. Zhu, “Position offset based parameter estimation for permanent magnet synchronous machines under variable speed control,” IEEE Trans. Power Electron., vol. 30, no. 6, pp. 3438-3446, 2015. (SCI impact factor 7.224 in 2019)

[8] K. Liu, and Z.Q. Zhu, “Mechanical parameter estimation of permanent magnet synchronous machines with aiding from estimation of rotor PM flux linkage,” IEEE Trans. Ind. Applicat., vol. 51, no. 4, pp. 3115-3125, 2015. (SCI impact factor 3.347 in 2019)

[9] K. Liu, and Z.Q. Zhu “Fast determination of moment of inertia of permanent magnet synchronous machine drives for design of speed loop regulator,” IEEE Trans. Control Systems Technology, vol. 25, no. 5, pp. 1816-1824, Sep. 2017. (SCI impact factor 5.371 in 2019)

[10] K. Liu, J.H. Feng, S.Y. Guo, L. Xiao, and Z.Q. Zhu, “Improved position offset based parameter determination of permanent magnet synchronous machines under different load conditions,” IET Electric Power Applications, vol. 11, no. 4, pp. 603-612, Apr. 2017. (SCI impact factor 3.051 in 2019)

[11] K. Liu, J.H. Feng, S.Y. Guo, L. Xiao, and Z.Q. Zhu, “Identification of flux linkage map of permanent magnet synchronous machines under uncertain circuit resistance and inverter nonlinearity,” IEEE Trans. Ind. Informatics, vol. 14, no. 2, pp. 556-568, Feb. 2018. (SCI impact factor 7.377 in 2019)

[12] Z.H. Liu, J. Zhang, S.W. Zhou, X.H. Li, and K. Liu, “Coevolutionary particle swarm optimization using AIS and its application in multiparameter estimation of PMSM,” IEEE Trans. Cybernetics, vol. 43, no. 6, pp. 1921-1935, 2013. (SCI impact factor 10.387 in 2019)

[13] T.C. Lin, Z.Q. Zhu, K. Liu and J.M. Liu, “Improved sensorless control of switched-flux permanent magnet synchronous machines based on different winding configurations,” IEEE Trans. Ind. Electron., vol. 63, no. 1 , pp. 123-132, Aug. 2015. (SCI impact factor 7.503 in 2019)

[14] Z.H. Liu, X.H. Li, L.H. Wu, S.W. Zhou, and K. Liu, “GPU-accelerated parallel co-evolutionary algorithm for parameters identification and temperature monitoring in permanent magnet synchronous machine,” IEEE Trans. Ind. Informatics, vol. 11, no. 5 , pp. 1220-1230, 2015. (SCI impact factor 7.377 in 2019)

[15] Z. H. Liu , X.H. Li, H.Q. Zhang, and K. Liu, “An enhanced approach for parameter estimation: using immune dynamic learning swarm optimization based on multicore architecture,” IEEE Systems, Man, and Cybernetics Magazine, vol. 2, no. 1, pp. 26-33, 2016.

[16] Y.S. Hu, Z.Q. Zhu, K. Liu, “Current control for dual three-phase permanent magnet synchronous motors accounting for current unbalance and harmonics,” IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 2, no. 2, pp. 272-284, 2014. (SCI impact factor 5.972 in 2019)

[17] Z.H. Liu, H.L. Wei, Q.C. Zhong, and K. Liu “Parameter estimation for VSI-fed PMSM based on a dynamic PSO with learning strategies,” IEEE Trans. Power Electron., vol. 32, no. 4, pp. 3154-3165, 2017. (SCI impact factor 7.224 in 2019).

[18] C. Chen, L.K. Li, Q. Zhang, Q.L. Tong, K. Liu, D. Lyu, and R. Min, “Online inductor parameters identification by small signal injection for sensorless predictive current controlled boost converter,” IEEE Trans. Ind. Informatics., vol. 13, no. 4, pp. 1554-1564, Aug. 2017. (SCI impact factor 7.377 in 2019)

[19] Z.H. Liu, H.L. Wei, Q.C. Zhong, and K. Liu, “GPU implementation of DPSO-RE algorithm for parameters identification of surface PMSM considering VSI nonlinearity, IEEE Journal of Emerging and Selected Topics in Power Electronics., vol. 5, no. 3, pp. 1334-1345, Apr. 2017. (SCI impact factor 5.972 in 2019)

[20] Z.H. Liu, H.L. Wei, Q.C. Zhong, and K. Liu, “Global identification of electrical and mechanical parameters in PMSM drive based on dynamic self-Learning PSO,” IEEE Trans. Power Electron., vol. 33, no. 12, pp. 10858-10871, Dec. 2018 (SCI impact factor 7.224 in 2019). 

[21] X. Wu, S. Huang, K. Liu, K. Lu, Y. Hu, W. Pan, and X. Peng, “Enhanced position sensorless control using bilinear recursive least squares adaptive filter for interior permanent magnet synchronous motor,” IEEE Trans. Power Electron., vol. 35, no. 1, pp. 681-698, Jan. 2020 (SCI impact factor 7.224 in 2019).

[22] M.D. Li, S. Huang, X. Wu, K. Liu, X. Peng and G. Liang, “A virtual HF signal injection based maximum efficiency per ampere tracking control for IPMSM drive,” IEEE Trans. Power Electron., vol. 35, no. 6, pp. 6102-6113, Jun. 2020. (SCI impact factor 7.224 in 2019)

[23] T. Wu, D.R. Luo, S. Huang, X. Wu, K. Liu, K. Lu, and X. Peng, “A fast estimation method of initial rotor position for low speed free-running IPMSM,” IEEE Trans. Power Electron., vol. 35, no. 7, pp. 7664-7673, Jul. 2020.  (SCI impact factor 7.224 in 2019).

[24] L.K. Li, Q. Zhang, R. Min, K. Liu, Q.L. Tong, and D. Lyu, “A current reshaping strategy to reduce parasitics-induced current distortion in DCM boost PFC converter,” IEEE Trans. Ind. Electron. (accepted, in press, SCI impact factor 7.377 in 2019).

[25] T. Liu, Q.D. Li, Q.L. Tong, Q. Zhang, and K. Liu “An adaptive strategy to compensate nonlinear effects of voltage source inverters based on artificial neural networks,” IEEE Access (accepted, in press, SCI impact factor 3.745 in 2019).

[26] W. Zhou, R.J. Huang, K. Liu, and W.G. Zhang, “A novel interval-based approach for quantifying practical parameter identifiability of a Lithium-ion battery model,” International Journal of Energy Research, vol. 63, no. 1 , pp. 1-16, Jan. 2020 (SCI impact factor 3.52 in 2019).

[27] K. Liu, Q. Zhang, Z.Q. Zhu, J. Zhang, A.W. Shen, and P. Stewart, “Comparison of two novel MRAS based strategies for identifying parameters in permanent magnet synchronous motors. International Journal of Automation and Computing, vol.7, no.4, pp.516-524, 2010.

[28] K. Liu, and J. Zhang, “Adaline neural network based online parameter estimation for surface-mounted permanent magnet synchronous machines,” Proceedings of the Chinese Society for Electrical Engineering, vol.30, no.30, pp.68-73, 2010.

[29] L.F. Li, J. Xiao, Y. Zhao, K. Liu, X.Y. Peng, H.Z. Luan, and K.Q. Li, “Robust position anti-Interference control for PMSM servo system with uncertain disturbance,” China Electrotechnical Society Transactions on Electrical Machines and Systems (Accepted in press).

[30] Z.H. Liu, S.W. Zhou, K. Liu, and J. Zhang, “Permanent magnet synchronous motor multiple parameter temperature monitoring based on binary-modal adaptive swarm optimization identification and wavelet particle,” Proceedings of Acta Automatica Sinica, vol.39, no.2, pp.2121-2130, 2013.

[31] Z.H. Liu, X.H. Li, S.W. Zhou, and K. Liu, “Comprehensive learning particle swarm optimization algorithm based on immune mechanism for permanent magnet synchronous motor parameter identification,” Transactions of China Electrotechnical Society, vol.29, no.5, pp.118-126, 2014.

[32] 丁荣军,刘侃,新能源汽车电机驱动系统关键技术展望,中国工程科学, 2019, (03): 56~60.

[33] Y.W. Liang, K. Liu, and W. B. Wang, “Interpolated position control for permanent magnet synchronous machines at low speed regionProc. of ICEMS2019, 2019, pp.1-7. (Best Paper Award)