LAPSE:2023.24626
Published Article

LAPSE:2023.24626
Optimal Calibration Strategy of a Hybrid Electric Vehicle Equipped with an Ultra-Lean Pre-Chamber SI Engine for the Minimization of CO2 and Pollutant Emissions
March 28, 2023
Abstract
The complexity of modern hybrid powertrains poses new challenges for the optimal control concerning, on one hand, the thermal engine to maximize its efficiency, and, on the other hand, the vehicle to minimize the noxious emissions and CO2. In this context, the engine calibration has to be conducted by considering simultaneously the powertrain management, the vehicle characteristics, and the driving mission. In this work, a calibration methodology for a two-stage boosted ultra-lean pre-chamber spark ignition (SI) engine is proposed, aiming at minimizing its CO2 and pollutant emissions. The engine features a flexible variable valve timing (VVT) control of the valves and an E-compressor, coupled in series to a turbocharger, to guarantee an adequate boost level needed for ultra-lean operation. The engine is simulated in a refined 1D model. A simplified methodology, based on a network of proportional integral derivative (PID) controllers, is presented for the calibration over the whole operating domain. Two calibration variants are proposed and compared, characterized by different fuel and electric consumptions: the first one aims to exclusively maximize the brake thermal efficiency, and the second one additionally considers the electric energy absorbed by the E-compressor and drained from the battery. After a verification against the outcomes of an automatic optimizer, the calibration strategies are assessed based on pollutant and CO2 emissions along representative driving cycles by vehicle simulations. The results highlight slightly lower CO2 emissions with the calibration approach that minimizes the E-compressor consumption, thus revealing the importance of considering the engine calibration phase, the powertrain management, the vehicle characteristics, and its mission.
The complexity of modern hybrid powertrains poses new challenges for the optimal control concerning, on one hand, the thermal engine to maximize its efficiency, and, on the other hand, the vehicle to minimize the noxious emissions and CO2. In this context, the engine calibration has to be conducted by considering simultaneously the powertrain management, the vehicle characteristics, and the driving mission. In this work, a calibration methodology for a two-stage boosted ultra-lean pre-chamber spark ignition (SI) engine is proposed, aiming at minimizing its CO2 and pollutant emissions. The engine features a flexible variable valve timing (VVT) control of the valves and an E-compressor, coupled in series to a turbocharger, to guarantee an adequate boost level needed for ultra-lean operation. The engine is simulated in a refined 1D model. A simplified methodology, based on a network of proportional integral derivative (PID) controllers, is presented for the calibration over the whole operating domain. Two calibration variants are proposed and compared, characterized by different fuel and electric consumptions: the first one aims to exclusively maximize the brake thermal efficiency, and the second one additionally considers the electric energy absorbed by the E-compressor and drained from the battery. After a verification against the outcomes of an automatic optimizer, the calibration strategies are assessed based on pollutant and CO2 emissions along representative driving cycles by vehicle simulations. The results highlight slightly lower CO2 emissions with the calibration approach that minimizes the E-compressor consumption, thus revealing the importance of considering the engine calibration phase, the powertrain management, the vehicle characteristics, and its mission.
Record ID
Keywords
0D-1D engine modelling, hybrid vehicle, ultra-lean combustion, virtual engine calibration
Subject
Suggested Citation
Bozza F, De Bellis V, Malfi E, Teodosio L, Tufano D. Optimal Calibration Strategy of a Hybrid Electric Vehicle Equipped with an Ultra-Lean Pre-Chamber SI Engine for the Minimization of CO2 and Pollutant Emissions. (2023). LAPSE:2023.24626
Author Affiliations
Bozza F: Dipartimento di Ingegneria Industriale, Università di Napoli Federico II, 80125 Napoli, Italy
De Bellis V: Dipartimento di Ingegneria Industriale, Università di Napoli Federico II, 80125 Napoli, Italy [ORCID]
Malfi E: Dipartimento di Ingegneria Industriale, Università di Napoli Federico II, 80125 Napoli, Italy [ORCID]
Teodosio L: Dipartimento di Ingegneria Industriale, Università di Napoli Federico II, 80125 Napoli, Italy [ORCID]
Tufano D: Dipartimento di Ingegneria Industriale, Università di Napoli Federico II, 80125 Napoli, Italy
De Bellis V: Dipartimento di Ingegneria Industriale, Università di Napoli Federico II, 80125 Napoli, Italy [ORCID]
Malfi E: Dipartimento di Ingegneria Industriale, Università di Napoli Federico II, 80125 Napoli, Italy [ORCID]
Teodosio L: Dipartimento di Ingegneria Industriale, Università di Napoli Federico II, 80125 Napoli, Italy [ORCID]
Tufano D: Dipartimento di Ingegneria Industriale, Università di Napoli Federico II, 80125 Napoli, Italy
Journal Name
Energies
Volume
13
Issue
15
Article Number
E4008
Year
2020
Publication Date
2020-08-03
ISSN
1996-1073
Version Comments
Original Submission
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PII: en13154008, Publication Type: Journal Article
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LAPSE:2023.24626
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https://doi.org/10.3390/en13154008
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Mar 28, 2023
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