Hengchun Mao

Founder & CEO | Quantentech

Dr. Hengchun Mao is the founder and CEO of Quantentech, a startup of high-performance motor and drive systems for EVs, eVTOLs and Robots. He received his Ph. D. degree from Virginia Tech in 1996, and has been working in power electronics and motor drive industries for over 30 years. He was a staff researcher of power systems in Bell Labs, the principal architect of Huawei’s Digital Power department, and a business unit general manager at Diodes Semiconductor. He founded Quanten Technologies, NuVolta Technologies, and NetPower Technologies, respectively in the business of advanced EV drives, wireless charging technologies, and high efficiency power modules. In recent years, Dr. Mao has been focusing on advanced high performance multi-phase motor drive system with dynamically adjustable magnetic structure, with the aid of power electronics and advanced drive algorithm to adapt the magnetic configurations of the motor in real-time according to its load condition, achieving 50% power density improvement for hybrid and electric vehicle applications. He has authored over 100 US patent applications in these fields.

All Sessions by Hengchun Mao

May 27, 2026

Building Powerful and Efficient Robot Motors through Smart Multi-Phase Technology

2:45 PM - 3:15 PM

Engineering Theater in Expo Hall

As robots move from the lab to the real world, the limitations of traditional three phase motor architectures are surfacing as a critical bottleneck. In high density actuators where space is at a premium and cooling is a luxury, multi-phase motor topologies offer a transformative path forward to create efficient, smaller and light-weight motors and actuators, enabling durable and agile robots with significantly better energy efficiency.

Three-phase motors have been a work horse in robots, but its limitations have become more pronounced as the efficiency, size/weight and thermal management of actuators appear increasingly as bottlenecks in humanoid robot development.

This session explores the strategic paradigm shift of using higher phase count systems and novel control algorithm to drastically improve these aspects simultaneously, and examines how increasing the number of phases directly correlates to a reduction in motor size with reduced power losses and torque ripple, and more compact drive control, enabling robots to meet the rigorous demands of real-world applications.

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