Korean Federation of Science & Technology Societies Best Paper Award for “Engine Net Torque Compensation Thrugh Driveline Torque Estimation in a Parallel Hybrid Vehicle“
There are many cases where engine net torque related control is performed when building smart and green car systems. Speed tracking control in autonomous driving,
or optimal transmission shift control is an example.
In this paper, a compensation method for the slowly varying uncertainty of the engine net torque in a parallel hybrid vehicle using a multiplicative constant is proposed.
The adaptation of the multiplicative constant is conducted using the amount of change in the engine net torque estimated in the backward direction of the driveline. The proposed algorithm is verified based on production vehicle data.