Jang-Young Choi
Papers
1
Total Citations
5
H-Index
1
About
Jang-Young Choi is a leading researcher in agricultural electric vehicle systems, with a primary focus on electric tractor drivetrain control and precision motor-speed management. His most notable contribution is the development of a real-time axle-torque prediction method for agricultural electric tractors, which integrates a Kalman algorithm with a predictive motor-speed controller. This work, published in 2025 and already garnering 5 citations, addresses a critical challenge in off-road electric vehicle performance: accurately estimating torque under variable, high-load field conditions without direct measurement. By enabling more responsive and efficient torque control, Choi’s approach improves traction, reduces energy waste, and enhances the operational reliability of electric tractors in farming applications. His research bridges advanced control theory with practical agricultural machinery, offering a pathway toward smarter, electrified farming. Choi’s work is particularly impactful for researchers and engineers developing autonomous or semi-autonomous electric agricultural vehicles, as it provides a robust framework for real-time state estimation in harsh environments. With growing interest in sustainable agriculture and electrification, his contributions are poised to influence next-generation tractor designs and precision farming systems.
Research Focus
Key Achievements
Top Papers
- 1