Dianxun Xiao received B.Eng. and M.Eng. degrees from Harbin Institute of Technology, Harbin, China, in 2016 and 2018, respectively, where he won the National Scholarship for Graduate Student, Excellent Undergraduate Thesis, and Excellent Master’s Thesis. In 2018, he joined the McMaster Automotive Resource Centre (MARC), at McMaster University, Hamilton, Canada, as a Ph.D. student. His research interests include motor drives of permanent magnet synchronous machines and switched reluctance machines, high-power converters, and battery management systems.
In 2012, Dianxun entered the Harbin Institute of Technology (HIT), Harbin, China, majoring in Electrical Engineering and Automation. During the bachelor study, he was passionate about technology competition and hence joined the HIT Smart Car Team as a major member for the National Intelligent Car Racing. In his senior year, he moved to research and studied in the Lab of Power Electronics and Electrical Drives (PEED) in HIT. This laboratory provided him with accesses to advanced research, and the excellent academic atmosphere cultivated his academic enthusiasm and innovation ability. During his research, Dianxun devoted himself to position-sensorless control of permanent magnet synchronous motors (PMSMs) and proposed a novel low-frequency injection control scheme to eliminate the noise generated by high-frequency injection. The high-frequency audible noise is the primary cause limiting the application of injection-based position estimation methods, while he utilizes a low-frequency injection pulse signal as the replacement to significantly reduce the noise pollution, particularly remaining mostly the same control performance. This research earned him the honor of being an Excellent Undergraduate Thesis.
In 2016, Dianxun continued his research as a Master student in PEED and conducted more in-depth research in motor drives. As further work on his previous research, he proposed a more accurate and compact position estimation method for PMSMs, which was sponsored by Delta. This method overcomes the limited stability margin issue of the conventional scheme and eliminates the adverse influence of all digital filters, making the position estimation strategy more suitable for large load applications. Moreover, he broadened his research interests to servo systems and small-capacitor motor drives. He focused on the mechanical resonance issue being from the gear clearance and adopted nonlinear control analyses to feature the resonance characteristic and compensate the significant resonant errors by the disturbance observer. In the research of small dc-link capacitor-based air conditionings, Dianxun, cooperating with other lab members, removed the bulky, costly, and unreliable dc-link electrolytic capacitors in Midea’s air conditionings, and adopted an algorithm-based compensation scheme to ensure the harmonics meet the EN61000-3-2 standards. This research significantly reduces the cost of air conditionings (including production and maintenance costs) according to statistics by Midea Group. In summary, during his Master study, he authored and coauthored five journal papers (both on IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics) and one IEEE conference paper. As a recognition of his research outputs, Dianxun was awarded the National Scholarship for Graduate Student by the Ministry of Education of the People’s Republic of China in 2017 and awarded the Excellent Master’s Thesis (Gold Award).
Currently, Dianxun is pursuing his Ph.D. degree in MARC at McMaster University. With the strong support of his supervisor, Prof. Ali Emadi, he more concentrated on the industrial applications and moved the research area to electric vehicles. He is working as a research assistant with BorgWarner Inc. in developing advanced motor drives, and responsible for teaching assistance for undergraduate students. At present, Dianxun holds board research interests of motor drives of PMSMs and switched reluctance motors (SRM), topology design and control of high-power converters, and battery management systems (BMS).