Data-driven control of automotive diesel engines and after-treatment systems: State of the art and future challenges-Reference-Cited by-同舟云学术

Data-driven control of automotive diesel engines and after-treatment systems: State of the art and future challenges

Published:2022-06-09 Issue: Volume: Page:095440702211048
ISSN:0954-4070
Container-title:Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
language:en
Short-container-title:Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Author:

Jiang Kai¹^ORCID,Yan Fengjun²,Zhang Hui¹^ORCID

Affiliation:

1. School of Transportation Science and Engineering, Beihang University, Beijing, China

2. Department of Mechanical Engineering, McMaster University, Hamilton, ON, Canada

Abstract

Model-based approaches have played a significant role in automotive electronics for diesel engines and aftertreatment systems, while they also have some drawbacks that cannot be neglected, such as difficult model construction and time-consuming model calibration. To this end, data-driven techniques have been put forward and become a topical issue in diesel engines and aftertreatment systems. This article provides an overview of the recent progress of the last decade in data-driven techniques and relevant applications for diesel engines and aftertreatment systems. Moreover, brief future trends, challenges, and opportunities of data-driven strategies and potential applications in this field are further discussed.

Funder

national natural science foundation of china

Publisher

SAGE Publications

Subject

Mechanical Engineering,Aerospace Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1177/09544070221104893

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