Minghua Chen

Title: Innovations of Minghua Chen

Introduction

Minghua Chen is a prominent inventor based in Hong Kong, CN. He has made significant contributions to the field of electrical engineering and sustainable transportation. With a total of 4 patents, his work focuses on optimizing power flow and minimizing carbon footprints in electric vehicles.

Latest Patents

Minghua Chen's latest patents include a deep learning-based approach for solving optimal power flow problems with flexible topology. This innovative method addresses multiple optimal power flow (OPF) equations in an AC electrical power system. It involves determining a continuous admittance space to embed various topologies and calculating voltage magnitudes and phase angles using a deep neural network. The method reconstructs active and reactive power generation based on these parameters and load inputs.

Another notable patent is the carbon footprint optimized timely E-truck transportation. This invention optimizes the carbon footprint of heavy-duty electric trucks traveling across highway networks. It co-determines a route plan, speed plan, and intermediary charging plan while adhering to hard deadline constraints and battery state-of-charge requirements. The optimization is achieved through a stage-expanded graph that models routing and charging decisions, ultimately minimizing the carbon footprint during the trip.

Career Highlights

Minghua Chen is affiliated with the City University of Hong Kong, where he continues to advance research in electrical engineering and sustainable technologies. His work has garnered attention for its innovative approaches to complex engineering problems.

Collaborations

Minghua collaborates with esteemed colleagues, including Qiulin Lin and Xiang Pan, who contribute to his research endeavors and innovations.

Conclusion

Minghua Chen's contributions to the fields of electrical engineering and sustainable transportation highlight his innovative spirit and commitment to addressing pressing environmental challenges. His patents reflect a deep understanding of complex systems and a dedication to improving technology for a sustainable future.