Pregled bibliografske jedinice broj: 955615
Optimal Energy Management and Shift Scheduling Control of a Parallel Plug-in Hybrid Electric Vehicle
Optimal Energy Management and Shift Scheduling Control of a Parallel Plug-in Hybrid Electric Vehicle // Proceedings of the 4th International Conference on Powertrain Modelling and Control, Testing, Mapping and Calibration
Loughborough, Ujedinjeno Kraljevstvo, 2018. str. 1-22 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Optimal Energy Management and Shift Scheduling Control of a Parallel Plug-in Hybrid Electric Vehicle
Autori
Soldo, Jure ; Škugor, Branimir ; Deur, Joško
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 4th International Conference on Powertrain Modelling and Control, Testing, Mapping and Calibration
/ - , 2018, 1-22
Skup
Powertrain Modelling and Control Conference 2018
Mjesto i datum
Loughborough, Ujedinjeno Kraljevstvo, 11.09.2018. - 12.09.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Energy management, ECMS, shift scheduling, control, plug-in hybrid electric vehicle
Sažetak
This paper deals with design of a control strategy for a parallel powertrain configuration of a plug-in hybrid electric vehicle (PHEV). The control strategy is aimed at minimising fuel consumption and number of gear shift events for a wide range of driving cycles, while keeping the battery state-of- charge within allowable range. A control- oriented backward-looking model of PHEV powertrain is used as a design basis. The control strategy combines a rule-based controller with an equivalent consumption minimisation strategy (ECMS). The ECMS uses both transmission gear ratio and engine torque as control variables, thus eliminating a need for designing a separate gear shift scheduling strategy and exploiting a full potential of powertrain efficiency improvement. The overall control strategy is designed for different characteristic operating regimes including charge depleting, charge sustaining, and blended regimes. The strategy is verified by computer simulation against globally optimal benchmark obtained by using the dynamic programming-based optimisation, whose results are also used for fine tuning of controller parameters.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo, Interdisciplinarne tehničke znanosti
POVEZANOST RADA
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb