Pregled bibliografske jedinice broj: 1189363
Bond Graph-Based Energy Balance Analysis of Forward and Backward Looking Models of Parallel Plug-In Hybrid Electric Vehicle
Bond Graph-Based Energy Balance Analysis of Forward and Backward Looking Models of Parallel Plug-In Hybrid Electric Vehicle // SAE Technical Paper
Detroit (MI), 2022. str. 1-13 doi:10.4271/2022-01-0743 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Bond Graph-Based Energy Balance Analysis of
Forward and Backward Looking Models of Parallel
Plug-In Hybrid Electric Vehicle
(Bond Graph-Based Energy Balance Analysis of
Forward and Backward Looking Models of Parallel
Plug-In Hybrid Electric Vehicle)
Autori
Soldo, Jure ; Cvok, Ivan ; Deur, Joško ; Haramina, Krunoslav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
SAE Technical Paper
/ - Detroit (MI), 2022, 1-13
Skup
WCX SAE World Congress Experience
Mjesto i datum
Detroit (MI), Sjedinjene Američke Države, 05.04.2022. - 07.04.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
plug-in hybrid electric vehicle ; powertrain modelling ; bond graph method
Sažetak
Design and optimization of a plug-in hybrid electric vehicle (PHEV) control strategy is typically based on a backward-looking (BWD) powertrain model, which ensures a high computational efficiency by neglecting the powertrain dynamics. However, the control strategy developed for BWD model may considerably underperform when applied to a forward-looking (FWD) powertrain model, which includes a dynamic driver model, powertrain dynamics, and corresponding low-level controls. This paper deals with bond-graph based modelling and energy balance analysis of BWD and FWD powertrain models for a P2 parallel PHEV-type city bus equipped with a 12- speed automated manual transmission. The powertrain consists of a motor/generator (M/G) machine supplied by the lithium-ion battery and placed at the transmission input shaft, and an internal combustion engine which can be disconnected from the rest of the powertrain by a main clutch placed between the engine and M/G machine. The BWD model is implemented in Matlab/Simulink environment whereas FWD model is developed in Simcenter Amesim. The BWD and FWD models are tested for different driving cycles reflecting different driving conditions. It is shown that the powertrain transient-related losses occurring during transmission gear shifting and engine switching predominantly contribute to the difference in energy consumption of the FWD model compared to the BWD model. It is also shown that, as the number of powertrain shifting and switching events is reduced by proper tuning of high-level control strategy, the difference between FWD- and BWD-model-related energy consumption becomes lower for the same driving cycle.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Projekti:
IP-2018-01-8323 - Adaptivno i prediktivno upravljanje utičnim hibridnim električnim vozilima (ACHIEVE) (Deur, Joško, HRZZ - 2018-01) ( CroRIS)
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus