Min-Jae Park
Papers
1
Total Citations
5
H-Index
1
About
Min-Jae Park is a leading researcher in agricultural electrification and precision control systems, with a focus on electric tractor drivetrains and real-time torque prediction. His most cited work, "Real-time axle-torque prediction of agricultural electric tractors using a kalman-algorithm-integrated predictive motor-speed controller" (2025), introduces a novel integration of Kalman filtering with predictive motor-speed control to accurately estimate axle torque under dynamic field conditions. This contribution addresses a critical challenge in off-highway electric vehicles—ensuring reliable torque delivery for heavy-duty tasks like plowing and hauling—while minimizing sensor costs and computational load. With 5 citations in its first year, the paper has quickly gained attention from researchers in autonomous farming and electric powertrain design. Park’s broader research portfolio spans model predictive control, state estimation, and energy-efficient actuation for agricultural robotics. His work is notable for bridging theoretical control algorithms with practical, implementable solutions for real-world farming equipment, making him a key figure in the transition toward sustainable, high-precision agriculture.
Research Focus
Key Achievements
Top Papers
- 1