Engine High-Level Nonlinear Model Predictive Torque Control with Enhanced Application for Hybrid Vehicles

被引:0
作者
Shamekhi, Amir-Mohammad [1 ]
Shamekhi, Amir H. [1 ]
机构
[1] KN Toosi Univ Technol, Tehran, Iran
基金
美国国家科学基金会;
关键词
Nonlinear model predictive control; Engine high-level control; Engine torque control; Hierarchical torque-based structure; Optimization; Hybrid vehicles; SYSTEM;
D O I
10.4271/03-15-02-0013
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
In this article, a new nonlinear optimal methodology regarding transient torque control of sparkignition (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 offine 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.
引用
收藏
页码:283 / 295
页数:13
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