Company Filing History:
Years Active: 2023-2025
Title: Shuo Wang - Innovator in Electric Vehicle Charging and Neutron Detection
Introduction
Shuo Wang is a prominent inventor based in Jinan, China. He has made significant contributions to the fields of electric vehicle charging optimization and neutron detection. With a total of 3 patents, his work reflects a commitment to advancing technology in these critical areas.
Latest Patents
One of Shuo Wang's latest patents is titled "Large-scale electric vehicle cluster coordinated charging optimization method based on greedy repair genetic algorithm." This invention focuses on optimizing the charging process for large clusters of electric vehicles, utilizing a custom genetic algorithm to minimize charging costs. The method involves establishing a task model, constructing constraint conditions, and solving a constrained optimization problem through innovative genetic coding techniques.
Another notable patent is the "Structure for slow neutron detection and method for slow neutron energy spectrum measurement." This invention pertains to the technical field of neutron detection. It features a unique structure designed for slow neutron detection, which includes a shielding barrel and a position-resolving detector unit. This setup allows for the measurement of the energy spectrum of slow neutrons, enhancing the capabilities of neutron detection technology.
Career Highlights
Shuo Wang is affiliated with Shandong University, where he continues to engage in research and development. His work not only contributes to academic knowledge but also has practical applications in energy management and nuclear science.
Collaborations
Shuo Wang collaborates with notable colleagues such as Quanqi Shi and Chenyao Han. Their combined expertise fosters innovation and drives advancements in their respective fields.
Conclusion
Shuo Wang's contributions to electric vehicle charging optimization and neutron detection exemplify his innovative spirit and dedication to technology. His patents reflect a deep understanding of complex systems and a commitment to improving efficiency and safety in these critical areas.