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...
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Format: | Article |
Language: | English |
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The Prognostics and Health Management Society
2023-02-01
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Series: | International Journal of Prognostics and Health Management |
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_version_ | 1797812581221531648 |
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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 |