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Engine High-Level Nonlinear Model Predictive Torque Control with Enhanced Application for Hybrid Vehicles
Journal Article
03-15-02-0013
ISSN: 1946-3936, e-ISSN: 1946-3944
Sector:
Citation:
Shamekhi, A. and Shamekhi, A., "Engine High-Level Nonlinear Model Predictive Torque Control with Enhanced Application for Hybrid Vehicles," SAE Int. J. Engines 15(2):283-295, 2022, https://doi.org/10.4271/03-15-02-0013.
Language:
English
Abstract:
In this article, a new nonlinear optimal methodology regarding transient torque
control of spark-ignition (SI) engines is presented. The internal combustion
engine is a highly nonlinear system, and transients are of great importance
especially for hybrid vehicles as the engine is frequently started and loaded up
to demanded torques. To address bandwidth requirements, purely feedback
controllers are avoided, and a semi-feed-forward controller is incorporated into
the high-level layer of the hierarchical structure. The controller is derived
based on offline nonlinear model predictive control (MPC), minimizing the fuel
consumption for optimal transition to demanded torques. The methodology can be
extended to the whole desired engine torques.