Performance assessment of vehicular connectivity in hybrid electric vehicles for fuel and emissions reduction

Brunelli, Lorenzo (2023) Performance assessment of vehicular connectivity in hybrid electric vehicles for fuel and emissions reduction, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Automotive per una mobilità intelligente, 35 Ciclo. DOI 10.48676/unibo/amsdottorato/10735.
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Nowadays, the spreading of the air pollution crisis enhanced by greenhouse gases emission is leading to the worsening of global warming. Recently, several metropolitan cities introduced Zero-Emissions Zones where the use of the Internal Combustion Engine is forbidden to reduce localized pollutants emissions. This is particularly problematic for Plug-in Hybrid Electric Vehicles, which usually work in depleting mode. In order to address these issues, the present thesis presents a viable solution by exploiting vehicular connectivity to retrieve navigation data of the urban event along a selected route. The battery energy needed, in the form of a minimum State of Charge (SoC), is calculated by a Speed Profile Prediction algorithm and a Backward Vehicle Model. That value is then fed to both a Rule-Based Strategy, developed specifically for this application, and an Adaptive Equivalent Consumption Minimization Strategy (A-ECMS). The effectiveness of this approach has been tested with a Connected Hardware-in-the-Loop (C-HiL) on a driving cycle measured on-road, stimulating the predictions with multiple re-routings. However, even if hybrid electric vehicles have been recognized as a valid solution in response to increasingly tight regulations, the reduced engine load and the repeated engine starts and stops may reduce substantially the temperature of the exhaust after-treatment system (EATS), leading to relevant issues related to pollutant emission control. In this context, electrically heated catalysts (EHCs) represent a promising solution to ensure high pollutant conversion efficiency without affecting engine efficiency and performance. This work aims at studying the advantages provided by the introduction of a predictive EHC control function for a light-duty Diesel plug-in hybrid electric vehicle (PHEV) equipped with a Euro 7-oriented EATS. Based on the knowledge of future driving scenarios provided by vehicular connectivity, engine first start can be predicted and therefore an EATS pre-heating phase can be planned.

Tipologia del documento
Tesi di dottorato
Brunelli, Lorenzo
Dottorato di ricerca
Settore disciplinare
Settore concorsuale
Parole chiave
hybrid electric vehicles (HEVs) · Software-in-the-Loop (SiL) · Hardware-in-the-Loop (HiL) · vehicle-to-everything (V2X) · zero-emission zone (ZEZ) · predictive functions · energy management · emissions management · electrically heated catalyst
Data di discussione
9 Marzo 2023

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