Pregled bibliografske jedinice broj: 1003325
Optimal Energy Management Control of a Parallel Plug in Hybrid Electric Vehicle in the Presence of Low Emission Zones
Optimal Energy Management Control of a Parallel Plug in Hybrid Electric Vehicle in the Presence of Low Emission Zones // SAE Technical Paper #2019-01-1215
Detroit (MI), Sjedinjene Američke Države, 2019. 2019-01-1215, 11 doi:10.4271/2019-01-1215 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Optimal Energy Management Control of a Parallel Plug in Hybrid Electric Vehicle in the Presence of Low Emission Zones
Autori
Soldo, Jure ; Škugor, Branimir ; Deur, Joško
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
SAE Technical Paper #2019-01-1215
/ - , 2019
Skup
WCX SAE World Congress Experience
Mjesto i datum
Detroit (MI), Sjedinjene Američke Države, 09.04.2019. - 11.04.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Energy management, ECMS, Low emission zone, control, plug-in hybrid electric vehicle
Sažetak
In order to reduce air and noise pollution in urban environments, low emission zones (LEZ) are being introduced in many cities worldwide. This paper deals with design of a LEZ- anticipating control strategy for a Plug-in Hybrid Electric Vehicle (PHEV) given in a P2- type parallel powertrain configuration. A control-oriented backward-looking model of the PHEV powertrain is used as a design basis. The core control strategy is based on combining a rule-based (RB) controller including an explicit battery state-of-charge (SoC) controller and an equivalent consumption minimization strategy (ECMS), and it is superimposed by generating an optimal SoC reference trajectory aimed at enabling pure electric driving through forthcoming LEZs and minimizing the overall fuel consumption. The optimal SoC reference trajectory is generated by minimizing its length over travelled distance. The proposed control strategy is verified by means of computer simulations and by comparing the corresponding simulation results against the dynamic programming-based globally optimal benchmark for several LEZ scenarios and various driving cycles.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb