Jinkyeom Cho

Papers

Total Citations

H-Index

About

Jinkyeom Cho is a researcher at the forefront of advanced energy management and control systems for hybrid electric vehicles. His work focuses on developing intelligent, predictive strategies to optimize vehicle performance and energy efficiency. Cho’s most notable contribution, "MPC Energy Prediction Control Simulation of a Hybrid Electric Vehicle," introduces a model predictive control (MPC) framework that anticipates future driving conditions to dynamically manage power distribution between the internal combustion engine and electric motor. This approach significantly enhances fuel economy and reduces emissions, addressing critical challenges in sustainable transportation. While his highly specialized paper has garnered 2 citations to date, it represents a foundational step in real-time predictive control for hybrid powertrains, with potential to influence future autonomous and connected vehicle systems. Cho’s research bridges the gap between theoretical control algorithms and practical vehicular applications, making him a promising voice in the evolution of green automotive technologies.