Jinghu Hu
About Jinghu Hu
Jinghu Hu is a Battery Safety/Thermal Engineer at Joby Aviation, specializing in vehicle powertrain modeling and optimization. He holds a Ph.D. in Mechanical Engineering from The University of Texas at Austin and has extensive experience in battery systems abuse testing and thermal modeling.
Work at Joby Aviation
Jinghu Hu has been employed at Joby Aviation since 2023, serving as a Battery Safety/Thermal Engineer. This role is based in San Carlos, California, and involves on-site responsibilities. In this position, Hu focuses on ensuring the safety and thermal performance of battery systems, contributing to the development of electric vertical takeoff and landing (eVTOL) aircraft.
Education and Expertise
Jinghu Hu holds a Ph.D. in Mechanical Engineering from The University of Texas at Austin, which was completed between 2018 and 2023. Prior to this, Hu earned a Master of Science in Engineering, specializing in Power Engineering and Engineering Thermophysics, from Tsinghua University from 2016 to 2018. Hu also has a Bachelor of Engineering in Environmental Engineering from Tsinghua University, obtained from 2012 to 2016. Hu's expertise includes vehicle powertrain modeling and optimization, battery systems abuse testing, and thermal modeling.
Previous Work Experience
Before joining Joby Aviation, Jinghu Hu worked at the National Renewable Energy Laboratory as a Vehicle Modeling Engineer for four months in 2022. Hu also served as a Research Assistant at Tsinghua University from 2015 to 2018, gaining valuable research experience. Additionally, Hu was a Graduate Research Assistant at The University of Texas at Austin from 2019 to 2023, where Hu contributed to various research projects in the field of mechanical engineering.
Skills and Specializations
Jinghu Hu possesses specialized skills in reduced order modeling and numerical analysis, which are essential for optimizing vehicle powertrains. Hu's technical expertise extends to battery systems, particularly in the areas of abuse testing and thermal modeling, which are critical for ensuring the reliability and safety of battery technologies in electric vehicles.