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Pregled bibliografske jedinice broj: 955615

Optimal Energy Management and Shift Scheduling Control of a Parallel Plug-in Hybrid Electric Vehicle


Soldo, Jure; Škugor, Branimir; Deur, Joško
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

Profili:

Avatar Url Joško Deur (autor)

Avatar Url Jure Soldo (autor)

Avatar Url Branimir Škugor (autor)


Citiraj ovu publikaciju:

Soldo, Jure; Škugor, Branimir; Deur, Joško
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)
Soldo, J., Škugor, B. & Deur, J. (2018) Optimal Energy Management and Shift Scheduling Control of a Parallel Plug-in Hybrid Electric Vehicle. U: Proceedings of the 4th International Conference on Powertrain Modelling and Control, Testing, Mapping and Calibration.
@article{article, author = {Soldo, Jure and \v{S}kugor, Branimir and Deur, Jo\v{s}ko}, year = {2018}, pages = {1-22}, keywords = {Energy management, ECMS, shift scheduling, control, plug-in hybrid electric vehicle}, title = {Optimal Energy Management and Shift Scheduling Control of a Parallel Plug-in Hybrid Electric Vehicle}, keyword = {Energy management, ECMS, shift scheduling, control, plug-in hybrid electric vehicle}, publisherplace = {Loughborough, Ujedinjeno Kraljevstvo} }
@article{article, author = {Soldo, Jure and \v{S}kugor, Branimir and Deur, Jo\v{s}ko}, year = {2018}, pages = {1-22}, keywords = {Energy management, ECMS, shift scheduling, control, plug-in hybrid electric vehicle}, title = {Optimal Energy Management and Shift Scheduling Control of a Parallel Plug-in Hybrid Electric Vehicle}, keyword = {Energy management, ECMS, shift scheduling, control, plug-in hybrid electric vehicle}, publisherplace = {Loughborough, Ujedinjeno Kraljevstvo} }




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