Model Predictive Control Used in Passenger Vehicles: An Overview

The following article presents a high-level overview of how Model Predictive Control (MPC) is leveraged in passenger vehicles and their subsystems for improved performance. This overview presents the fundamental concepts of MPC algorithms and their common variants. After building some understanding of MPC methods, the paper discusses state-of-the-art examples of how MPC methods are leveraged to perform low- to high-level tasks within a typical passenger vehicle. This review also aims to provide the reader with intuition in formulating MPC systems based on the strengths and weaknesses of the different formulations of MPC. The paper also highlights active areas of research and development.

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Publication Details

Journal
Machines
Published
2024-11-04
DOI
https://doi.org/10.3390/machines12110773
Citations
7
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
1.42
Controls
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article

Model Predictive Control Used in Passenger Vehicles: An Overview

Shabnam Pejhan, Meaghan Charest
7 citations
Machines
Vehicle Dynamics and Control Systems
1.42
article

Model Predictive Control Used in Passenger Vehicles: An Overview

Shabnam Pejhan, Meaghan Charest
article en
7 citations

Abstract

The following article presents a high-level overview of how Model Predictive Control (MPC) is leveraged in passenger vehicles and their subsystems for improved performance. This overview presents the fundamental concepts of MPC algorithms and their common variants. After building some understanding of MPC methods, the paper discusses state-of-the-art examples of how MPC methods are leveraged to perform low- to high-level tasks within a typical passenger vehicle. This review also aims to provide the reader with intuition in formulating MPC systems based on the strengths and weaknesses of the different formulations of MPC. The paper also highlights active areas of research and development.

MachinesVol. 12(11)
Ontario Tech University (CA)
Openalex Percentile: Top 19%
Vehicle Dynamics and Control Systems
1.42
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