Turbocompound Power Unit Modelling for a Supercapacitor-Based Series Hybrid Vehicle Application

Repetto, Matteo; Passalacqua, Massimiliano; Vaccaro, Luis; Marchesoni, M.; Prato, Alessandro Pini

doi:10.3390/en13020447

Cited by 5 publications

(7 citation statements)

References 39 publications

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“…A comparison on parallel, series/parallel and series architecture using a spark-ignition engine [17] is reported in Section 5. The diesel engine efficiency contour map and the TC modelling [28] are shown in Section 6. Finally, the fuel economy obtained with the different configurations are summarized in Section 7 and conclusions are carried out in Section 8.…”

Section: Electric Machine Power Electronics Converter and Ice Efficiency Contour Maps 211 Electric Machine Efficiency Contour Mapsmentioning

confidence: 99%

“…In addition to the vehicle configurations analysed in Section 5 (RV, SPHV, PHV SiSI SHV, and SiCSI SHV) the two configurations reported below were considered in [28]: The results shown in Section V are again reported here in order to perform a comparison with the D SHV and the TCD SHV configurations. A diesel engine can be introduced in the series architecture, in which its weaknesses can be reduced and its strengths can be exploited.…”

Section: Vehicle Fuel Economy With the Different Configurationsmentioning

confidence: 99%

“…In addition to the vehicle configurations analysed in Section 5 (RV, SPHV, PHV SiSI SHV, and SiCSI SHV) the two configurations reported below were considered in [28]:…”

Section: Vehicle Fuel Economy With the Different Configurationsmentioning

confidence: 99%

“…A refined analysis on supercapacitor storage sizing is carried out in [27]. Finally, turbocompound modelling for series medium-size car application is analyzed in [28].…”

Section: Introductionmentioning

confidence: 99%

“…Figure 35 shows the Diesel ICE efficiency contour map (left) and the ICE+TC efficiency contour map evaluated with the study in [28] (right).…”

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confidence: 99%

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Series Architecture on Hybrid Electric Vehicles: A Review

et al. 2021

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The use of series architecture nowadays is mainly on hybrid buses. In comparison with series-parallel and parallel architectures, which are usually exploited on medium-size cars, the series architecture allows achieving internal combustion engine higher efficiency. The downside of this architecture, due to a double energy conversion (i.e., mechanical energy converted in electrical energy and electrical energy converted again in mechanical energy), is that additional losses are introduced. For this reason, the parallel and the series/parallel architectures were considered more suitable for hybrid medium-size cars. Nevertheless, the use of new technologies can change this scenario. Regarding storage systems, supercapacitors achieved a significant energy density, and they guarantee much higher efficiency than battery storage. Moreover, the use of wide-bandgap components for power electronic converters, such as silicon carbide devices, assure lower losses. In this scenario, the series architecture can become competitive on medium-size cars. This paper shows a review of various studies performed on this topic.

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Section: Electric Machine Power Electronics Converter and Ice Efficiency Contour Maps 211 Electric Machine Efficiency Contour Mapsmentioning

confidence: 99%

Section: Vehicle Fuel Economy With the Different Configurationsmentioning

confidence: 99%

“…In addition to the vehicle configurations analysed in Section 5 (RV, SPHV, PHV SiSI SHV, and SiCSI SHV) the two configurations reported below were considered in [28]:…”

Section: Vehicle Fuel Economy With the Different Configurationsmentioning

confidence: 99%

“…A refined analysis on supercapacitor storage sizing is carried out in [27]. Finally, turbocompound modelling for series medium-size car application is analyzed in [28].…”

Section: Introductionmentioning

confidence: 99%

“…Figure 35 shows the Diesel ICE efficiency contour map (left) and the ICE+TC efficiency contour map evaluated with the study in [28] (right).…”

mentioning

confidence: 99%

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