SELF-ADAPTIVE AIR-PATH HEALTH MANAGEMENT FOR A HEAVY DUTY-DIESEL ENGINE

This paper presents the air-path health management strategy with the ability to estimate the mass-flows and mitigate (adapt to) the air-path faults in the exhaust system of a heavy-duty diesel combustion engine equipped with a twin-scroll turbine. Based on the engine component models applied in the...

Full description

Bibliographic Details
Main Authors: Tomáš Polóni, Paul Dickinson, Jianrui Zhang, Peng Zhou
Format: Article
Language:English
Published: The Prognostics and Health Management Society 2023-02-01
Series:International Journal of Prognostics and Health Management
Subjects:
_version_ 1797812581221531648
author Tomáš Polóni
Paul Dickinson
Jianrui Zhang
Peng Zhou
author_facet Tomáš Polóni
Paul Dickinson
Jianrui Zhang
Peng Zhou
author_sort Tomáš Polóni
collection DOAJ
description This paper presents the air-path health management strategy with the ability to estimate the mass-flows and mitigate (adapt to) the air-path faults in the exhaust system of a heavy-duty diesel combustion engine equipped with a twin-scroll turbine. Based on the engine component models applied in the quasi-steady-state mass-balancing approach, two main engine mass-flow quantities are estimated: the Air mass-flow (AMF) and the Exhaust gas recirculation (EGR) mass-flow. The health management system is monitoring for three kinds of air-path faults that can occur through the combustion engine operation, related either to the after-treatment system, EGR valve, or to the turbine balance valve hardware. For each fault, a fault-mitigation strategy based on in-observer-reconfigurable mass-balance equations with excluded faulty component model and utilized exhaust pressure sensor is proposed. The applied observer is using the iterated Kalman filter (IKF) as the core fault mitigating solver for the quasi-steady-state mass-balancing problem. It is further demonstrated how the individual faults are robustly isolated using the Sequential Probability Ratio Test (SPRT). The strategy and results are validated using the test cycle driving data.
first_indexed 2024-03-13T07:39:38Z
format Article
id doaj.art-6785eab902ab4234999fd32c6ed40c98
institution Directory Open Access Journal
issn 2153-2648
language English
last_indexed 2024-03-13T07:39:38Z
publishDate 2023-02-01
publisher The Prognostics and Health Management Society
record_format Article
series International Journal of Prognostics and Health Management
spelling doaj.art-6785eab902ab4234999fd32c6ed40c982023-06-03T20:36:50ZengThe Prognostics and Health Management SocietyInternational Journal of Prognostics and Health Management2153-26482023-02-01143https://doi.org/10.36001/ijphm.2023.v14i3.3118SELF-ADAPTIVE AIR-PATH HEALTH MANAGEMENT FOR A HEAVY DUTY-DIESEL ENGINETomáš Polóni0Paul Dickinson1Jianrui Zhang2Peng Zhou3Garrett Motion - Connected Vehicle, V Parku 2326/18, Prague, 148 00 Czech RepublicGarrett Motion - Connected Vehicle, V Parku 2326/18, Prague, 148 00 Czech RepublicFAW JIEFANG AUTOMOTIVE - Engine Electronic Control and Calibration, Changchun, Jilin, 130011, ChinaFAW JIEFANG AUTOMOTIVE - Engine Electronic Control and Calibration, Changchun, Jilin, 130011, ChinaThis paper presents the air-path health management strategy with the ability to estimate the mass-flows and mitigate (adapt to) the air-path faults in the exhaust system of a heavy-duty diesel combustion engine equipped with a twin-scroll turbine. Based on the engine component models applied in the quasi-steady-state mass-balancing approach, two main engine mass-flow quantities are estimated: the Air mass-flow (AMF) and the Exhaust gas recirculation (EGR) mass-flow. The health management system is monitoring for three kinds of air-path faults that can occur through the combustion engine operation, related either to the after-treatment system, EGR valve, or to the turbine balance valve hardware. For each fault, a fault-mitigation strategy based on in-observer-reconfigurable mass-balance equations with excluded faulty component model and utilized exhaust pressure sensor is proposed. The applied observer is using the iterated Kalman filter (IKF) as the core fault mitigating solver for the quasi-steady-state mass-balancing problem. It is further demonstrated how the individual faults are robustly isolated using the Sequential Probability Ratio Test (SPRT). The strategy and results are validated using the test cycle driving data.heavy dutycombustion enginehealth managmentair pathobserver
spellingShingle Tomáš Polóni
Paul Dickinson
Jianrui Zhang
Peng Zhou
SELF-ADAPTIVE AIR-PATH HEALTH MANAGEMENT FOR A HEAVY DUTY-DIESEL ENGINE
International Journal of Prognostics and Health Management
heavy duty
combustion engine
health managment
air path
observer
title SELF-ADAPTIVE AIR-PATH HEALTH MANAGEMENT FOR A HEAVY DUTY-DIESEL ENGINE
title_full SELF-ADAPTIVE AIR-PATH HEALTH MANAGEMENT FOR A HEAVY DUTY-DIESEL ENGINE
title_fullStr SELF-ADAPTIVE AIR-PATH HEALTH MANAGEMENT FOR A HEAVY DUTY-DIESEL ENGINE
title_full_unstemmed SELF-ADAPTIVE AIR-PATH HEALTH MANAGEMENT FOR A HEAVY DUTY-DIESEL ENGINE
title_short SELF-ADAPTIVE AIR-PATH HEALTH MANAGEMENT FOR A HEAVY DUTY-DIESEL ENGINE
title_sort self adaptive air path health management for a heavy duty diesel engine
topic heavy duty
combustion engine
health managment
air path
observer
work_keys_str_mv AT tomaspoloni selfadaptiveairpathhealthmanagementforaheavydutydieselengine
AT pauldickinson selfadaptiveairpathhealthmanagementforaheavydutydieselengine
AT jianruizhang selfadaptiveairpathhealthmanagementforaheavydutydieselengine
AT pengzhou selfadaptiveairpathhealthmanagementforaheavydutydieselengine