Optimal Energy Management and Shift Scheduling Control of a Parallel Plug-in Hybrid Electric Vehicle (CROSBI ID 665859)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Soldo, Jure ; Škugor, Branimir ; Deur, Joško
engleski
Optimal Energy Management and Shift Scheduling Control of a Parallel Plug-in Hybrid Electric Vehicle
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.
Energy management, ECMS, shift scheduling, control, plug-in hybrid electric vehicle
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Podaci o prilogu
1-22.
2018.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 4th International Conference on Powertrain Modelling and Control, Testing, Mapping and Calibration
Podaci o skupu
Powertrain Modelling and Control Conference 2018
predavanje
11.09.2018-12.09.2018
Loughborough, Ujedinjeno Kraljevstvo