葛乐飞


的个人主页 http://teacher.nwpu.edu.cn/2020010138

  被浏览次数:1196

基本信息 The basic information

葛乐飞

自动化学院

副教授

电气工程-电机与电器

lge@nwpu.edu.cn

18792439306

工作经历 Work Experience

2020.9-至今,    西北工业大学,自动化学院,副教授


教育经历 Education Experience

2016.09-2020.08  德国亚琛工业大学,电气与电子信息学院,博士研究生,电气工程

2013.09-2016.04  西北工业大学,自动化学院,硕士研究生,电气工程

2009.09-2013.07  西北工业大学,自动化学院,学士/本科, 测控技术与仪器


荣誉获奖 Awards Information

2018 陕西省航空学会科学技术一等奖(第四),陕西省科学技术二等奖(第三),陕西省高等学校科技二等奖

2016 硕士研究生国家奖学金,西北工业大学学术之星,优秀毕业生,全国研究生数学建模竞赛三等奖

2015 硕士研究生国家奖学金,吴亚军奖学金,全国大学生智能设计竞赛三等奖


科学研究 Scientific Research

主要研究方向:

电机优化设计

新能源发电系统

振动与噪声分析

无位置传感器控制技术


学术成果 Academic Achievements

 [1] Lefei Ge, Bernhard Burkhart, Rik W. De Doncker, “ Fast Iron Loss and Thermal Prediction Method for Power Density and Efficiency Improvement in Switched Reluctance Machines”, IEEE Transactions on Industrial Electronics, vol. 67, no. 6, pp. 4463-4473, June 2020, doi: 10.1109/TIE.2019.2922937. 

[2] Lefei Ge, Iliya Ralev, Annegret Klein-Hesling, Shoujun Song, Rik W. De Doncker, “ A Simple Reluctance Calibration Strategy to Obtain the Flux-linkage Characteristics of Switched Reluctance Machines”, IEEE Transactions on Power Electronics, vol. 35, no. 3, pp. 2787-2798, March 2020, doi: 10.1109/TPEL.2019.2925656. 

[3] Shoujun Song, Lefei Ge, Zhihui Zhang, Accurate position estimation of SRM based on optimal interval selection and linear regression analysis, IEEE Transactions on Industrial Electronics, 63(6): 3467-3478, 2016. 

[4] Song Shoujun, Lefei Ge, Man Zhang, Data-reconstruction-based modeling of SRM with few flux linkage samples from torque-balanced measurement, IEEE Transactions on Energy Conversion, 31(2): 424-435, 2016. 

[5] Shoujun Song, Man Zhang, Lefei Ge, A new fast method for obtaining flux-linkage characteristics of SRM, IEEE Transactions on Industrial Electronics, 62(7): 4105-4117, 2015. 

[6] Shoujun Song, Lefei Ge, Shaojie Ma, Accurate measurement and detailed evaluation of static electromagnetic characteristics of switched reluctance machines,IEEE Transactions on Instrumentation and Measurement, 64(3): 704-714, 2015. 

[7] Shoujun Song, Lefei Ge, Shaojie Ma, Man Zhang, Accurate modeling of switched reluctance machine based on hybrid trained WNN, AIP Advances, 4(4): 1-9, 2014. 

[8] Shoujun Song, Man Zhang, Lefei Ge, A new decoupled analytical modeling method for switched reluctance machine, IEEE Transactions on Magnetics, 51(3): 1-4, 2015. 

[9] Shoujun Song, Man Zhang, Lefei Ge, Lusheng Wang,Multiobjective optimal design of switched reluctance linear launcher, IEEE Transactions on Plasma Science, 43(5): 1339-1345, 2015. 

[10] Lefei Ge, B. Burkhart and R. W. De Doncker, "Fast iron loss prediction method in the pre-design stage of SRMs," The Journal of Engineering, vol. 2019, no. 17, pp. 3677-3681, 6 2019. (EI索引)

[11] Lefei Ge, B. Burkhart, A. Klein-Hessling, H. Xu and R. W. De Doncker, "Comprehensive Performance Comparison and Optimization of Single-Pulse Controlled SRGs for Renewable Electrical Grids," 2019 IEEE Applied Power Electronics Conference and Exposition (APEC), Anaheim, CA, USA, 2019, pp. 2632-2637. (EI索引)

[12] Song, Shoujun, and Lefei Ge. "Modeling of switched reluctance machine with few samples based on chaotic fuzzy neural network." 2015 18th International Conference on Electrical Machines and Systems (ICEMS). IEEE, 2015. (EI索引

[13] Shoujun Song, Man Zhang, Lefei Ge. Multi-Objective Optimal Design of Switched Reluctance Linear Launcher. In Proceedings of 17th Electromagnetic Launch Technology Symposium. (EI索引)

[14] Shoujun Song, Man Zhang, Lefei Ge. A New Analytical Model for Switched Reluctance Machine. In Proceedings of 16th Biennial IEEE Conference on Electromagnetic Field Computation. (EI索引)

[15] 宋受俊, 葛乐飞, 刘虎成, 刘卫国, “开关磁阻电机设计及多目标优化方法, 电工技术学报, 29(5): 197-204, 2014. EI收录

[16] 宋受俊, 葛乐飞, 张蔓, “开关磁阻电机多目标协同优化设计, 电机与控制学报, 19(1): 68-75, 2015. EI收录

[17] 宋受俊, 葛乐飞, 蒋艳玲, “基于文化粒子群算法的开关磁阻电机多目标优化设计, 西北工业大学学报, 32(1): 111-117, 2014. EI收录

[18] 宋受俊, 张蔓, 葛乐飞, 夏泽坤, 一种考虑互感耦合的快速获取三相12/8SRM磁链特性的方法, 2017.03.22, ZL201410553519.2, 专利.

[19] 宋受俊, 葛乐飞, 杨阳, 一种基于线性磁链模型和线性回归分析的SRM位置预估方法, 2019.02.26, CN201610851091.9A, 专利


社会兼职 Social Appointments

国际期刊审稿人:

IEEE Transactions on Industrial Electronics

IEEE Transactions on Power Electronics

IEEE Transactions on Transportation Electrification

IEEE Transactions on Industry Applications

IEEE Transactions on Magnetics

IET Power Electronics