Department of Electro-Mechanical Engineering
College of Mechanical and Vehicle Engineering
Hunan University
Changsha
410082
Email: lkan@hnu.edu.cn / lkan@live.cn

14/09/2017- Professor in Electro-mechanical Engineering, College of Mechanical and Vehicle Engineering, Hunan University.
01/09/2016-21/12/2017 Lecturer in Control Systems(Open-ended post), Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University
01/11/2013-31/08/2016 Research associate in EMD group, University of Sheffield.

Innovation Center for Intelligent and Connected Vehicles, Hunan University
Engineering Research Center of the Ministry of Education on Automotive Electronics and Control Technology, Hunan University

01/09/2001-01/07/2005 Bachelor degree in Automation, Hunan University.
01/09/2005-01/07/2007 Postgraduate student, Control theory and control engineering, Hunan University.
01/09/2007-13/03/2011 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 Joint Ph.D. student in EMD group, University of Sheffield (Sponsored by China Scholarship Council).
01/10/2011-23/12/2013 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.

Drive control techniques used in PM traction machines for rail transits, EVs and HEVs.
Control techniques for servo machine.
Structure design, optimization, temperature field and loss model analyses for PM machines.

Grants:
 “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, ¥630,000, 2019/1/1-2022/12/31. (Role: Principal investigator)
“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, ¥150,000, 2018/12-2021/10. (Role: Principal investigator)
“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, ¥70,000, 2018/12-2020/10. (Role: Principal investigator)
“Multi-parameter identification and state estimation for nonlinear dynamic rank deficient systems,” National Natural Science Foundation of China, project No. 61174140, ¥650,000 (£70.3k), 2012-2017. (Role: second principal investigator)
“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 permanent magnet synchronous machines for fast train application”, Collaboration project between University of Sheffield and CRRC (China Railway Rolling Stock Corporation), £310k, 01/11/2013-31/08/2016. (Role: Leading research associate)
Awards:
2016 The award winner of Outstanding Reviewer of IJAC
2018 The award winner of HNU Changfeng Outstanding Teacher in 2018
2019 The HNU Young Talented Donghua Software Scholar

Publications
Published Journal Papers:
[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 7.05 in 2017)
[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 7.05 in 2017)
[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 7.05 in 2017)
[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 6.812 in 2017)
[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 7.05 in 2017)
[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 7.05 in 2017)
[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 6.812 in 2017)
[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 2.743 in 2017)
[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 4.883 in 2017)
[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 2.211 in 2017)
[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 5.43 in 2017)
[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 8.803 in 2017)
[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, 2016. (SCI impact factor 7.05 in 2017)
[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 5.43 in 2017)
[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 5.177 in 2017)
[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 6.812 in 2017).
[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 5.43 in 2017)
[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 5.177 in 2017).
[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 (Accepted, SCI impact factor 6.812 in 2017).
[21]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.
[22]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.
[23]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.
[24]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.
[25]Y. Jiang, S.Q. Tang, Z.X. Li, and K. Liu, “On flywheel battery power conversion control based on BP neural network,” Control Engineering of China, vol.17, no.2, pp. 169-174, 2010.
[26]B.X. Zhou, J. Zhang, and K. Liu, “Nonlinearity compensation for inverter based on immune clonal algorithm,” Computing Engineering (Chinese), vol.37, no.3, pp. 238-240, 2011.
Published Conference Papers:
[27]K. Liu, Z.Q. Zhu, Q. Zhang, J. Zhang, and A.W. Shen, “Influence of inverter nonlinearity on parameter estimation in permanent magnet synchronous machines,” Proc. of International Conf. on Electrical Machines, Rome, Italy, 2010, pp.1-5.
[28]K. Liu, Z.Q. Zhu, J. Zhang, Q. Zhang, and A.W. Shen, “Multi-parameter estimation of non-salient pole permanent magnet synchronous machines by using evolutionary algorithms,” Proc. of International Conf. on Bio-Inspired Computing: Theories and Applications, Changsha, China, 2010, pp.766-774.
[29]K. Liu, Z.Q. Zhu, and J. Zhang, “Online estimating inverter nonlinearity for identifying stator winding resistance of permanent magnet synchronous motor,” Proc. of the 16th International Conf. on Automation & Computing，Birmingham, U.K., 2010, pp.208-213.
[30]K. Liu, Z.Q. Zhu, and J. Zhang, “Estimating stator winding resistance and rotor flux linkage of non-salient pole PM machines by immune clonal algorithm,” Proc. of the 16th International Conf. on Automation & Computing，Birmingham, U.K., 2010, pp.226-231.
[31]K. Liu, and Z.Q. Zhu, “Mechanical parameter estimation of permanent magnet synchronous machines with aiding from estimation of rotor PM flux linkage,” Proc. of ECCE2014, Pittsburgh, USA, 2014, pp.4850-4857.
[32]K. Liu, and Z.Q. Zhu, “Parameter estimation of PMSM for aiding PI regulator design of field oriented control,” Proc. of ICEMS2014, Hangzhou, China, 2014, pp.1-7.
[33]J. Zhang, K. Liu, and Z.Q. Zhu, “A stator reference frame based MRAS strategy for PMSM parameters identification,” Proc. of the 15th International Conf. on Automation & Computing, Luton, U.K., 2009, pp.127-130.
[34]H.T. Qin, K. Liu, Q. Zhang, A.W. Shen, and J. Zhang “Online estimating voltage source inverter nonlinearity for PMSM by Adaline neural network,” Proc. of International Conf. on Bio-Inspired Computing: Theories and Applications, Changsha, China, 2010, pp.727-733.
[35]T.C. Lin, Z.Q. Zhu, and K. Liu, “Improved high-frequency carrier voltage measurement for position estimation of switched-flux permanent magnet machines,” Proc.of 2015 IEEE Symposium on Sensorless Control for Electrical Drives (SLED 2015), Sydney, Australia, 2015, pp. 1-7.
[36]K. Liu, and Z.Q. Zhu, “Determination of electrical parameters of PMSM drive system at standstill,” Proc. of VPPC, 2016, Hangzhou, China.
[37]Y. Zhang, K. Liu, Y. S. Hu, and S. J. Yang, “MTPA control of IPMSM with aiding from estimation of dq-axis inductances,” in Proc. IEEE Student Conf. Electr. Mach. Syst., Dec. 2018: 1–5.
[38]S. T. Chen, K. Liu, Y. S. Hu, L. L. Chu, and B.W. Wang, “Real-time determination of PMSM assembly temperatures,” in Proc. IEEE Student Conf. Electr. Mach. Syst., Dec. 2018: 1–6.
[39]B.W. Wang, K. Liu, Y. S. Hu, and Y. Zhang, “Drive control of PMSM considering nonlinear modeling error in over-modulation region,” in Proc. IEEE Student Conf. Electr. Mach. Syst., Dec. 2018: 1–6.
[40]S. J. Yang, K. Liu, Y. S. Hu, L. L. Chu, and S. T. Chen, “Efficiency optimization control of IPMSM considering varying machine parameters,” in Proc. IEEE Student Conf. Electr. Mach. Syst., Dec. 2018: 1–6.

Professional Activities
IEEE member (2014-), IEEE senior member (2017-), Associate editor of IEEE Access (SCI indexed, JCR Q1)
Lead guest editor/Guest editor/Associate editor for EI Indexed journals：
Journal of Control Science and Engineering (01/11/2015- 26/08/2016):
Special Session: Application of Advanced Control Technologies in Electrical Machine Drives
http://www.hindawi.com/journals/jcse/si/421938/cfp/
International Journal of Rotating Machinery (01/07/2016- 21/04/2017):
Special Session: Advanced Machine Design and Control Techniques for Hybrid and All-electric Propulsion Systems
http://www.hindawi.com/journals/ijrm/si/389675/cfp/
CES Transactions on Electrical Machines and Systems(31/1/2018-26/2/2018)
Special Section: Special Section on Novel Permanent Magnet and Magnetless Machines and Controls.
http://www.cestems.org/uploads/files/15132132583897.pdf
Peer review for leading journals:
IEEE Tran. on Ind. Electron., IEEE Tran. on Power Electron., IEEE Tran. on Ind. Inform., IEEE Tran. on Ind. Applicat., IEEE Tran. on Energy Conver., IEEE Tran. on Control Systems Technology, IEEE Tran. on Applied Superconductivity, IEEE Journal of JESTPE, IEEE Tran. on Magnetics., IEEE Access, IET Generation, Transmission & Distribution, IET Power Electric Applicat., International Journal of Automation and Computing (IJAC).