Shuhua Gao

Title: Innovations by Shuhua Gao in Electric Vehicle Charging Optimization

Introduction

Shuhua Gao is an accomplished inventor based in Jinan, China. He has made significant contributions to the field of power system management, particularly in optimizing charging methods for electric vehicles. His innovative approach utilizes advanced algorithms to enhance the efficiency of charging processes.

Latest Patents

Shuhua Gao holds a patent for a "Large-scale electric vehicle cluster coordinated charging optimization method based on greedy repair genetic algorithm." This patent addresses the technical challenges associated with managing large clusters of electric vehicles at charging stations. The method involves several key steps, including establishing a task model, constructing constraint conditions, and designing an objective function aimed at minimizing charging costs. The use of a custom genetic algorithm with greedy repair operators is a notable feature of this invention, allowing for effective problem-solving in constrained optimization scenarios.

Career Highlights

Shuhua Gao is affiliated with Shandong University, where he continues to engage in research and development in the field of electric vehicle technology. His work has garnered attention for its practical applications and potential to improve the efficiency of electric vehicle charging systems.

Collaborations

Shuhua Gao collaborates with notable colleagues, including Jing Wang and Zhengfang Wang, who contribute to his research endeavors. Their combined expertise enhances the innovative capacity of their projects.

Conclusion

Shuhua Gao's contributions to electric vehicle charging optimization represent a significant advancement in power system management. His patented methods and collaborative efforts continue to pave the way for more efficient and sustainable electric vehicle technologies.