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Pregled bibliografske jedinice broj: 1036603

Analysis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicle


Škugor, Branimir; Soldo, Jure; Deur, Joško
Analysis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicle // World Electric Vehicle Journal, 10 (2019), 4; 1-16 (međunarodna recenzija, članak, znanstveni)


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Naslov
Analysis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicle

Autori
Škugor, Branimir ; Soldo, Jure ; Deur, Joško

Izvornik
World Electric Vehicle Journal (2032-6653) 10 (2019), 4; 1-16

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
plug-in hybrid electric vehicle ; power management ; battery state-of-charge trajectory ; efficiency ; optimization ; dynamic programming

Sažetak
Plug-in hybrid electric vehicles (PHEV) typically combine several power sources, which call for the use of optimal control strategy design techniques. The PHEV powertrain efficiency can be improved if the battery is gradually discharged by blending fully electric and hybrid driving modes during the whole trip. Here, the battery state-of-charge (SoC) trajectory profile is of particular importance to achieving near-optimal powertrain operation. In order to reveal optimal patterns of SoC trajectory profiles, numerical optimizations of PHEV control variables based on the dynamic programing (DP) algorithm are conducted in the paper. The obtained optimal SoC trajectories are found to form linear-like profiles of minimum length when expressed with respect to travelled distance. Detailed analyses of the DP results point out that the SoC trajectory length is minimized in order to minimize electric losses, which is then reflected in reduced total fuel consumption. This finding is further justified by analyzing the problem of optimal discharging for the simplified battery-only system and for the powertrain as a whole. The impact of engine specific fuel consumption characteristic on the optimal SoC trajectory profile under simplified driving conditions is analyzed, as well.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo



POVEZANOST RADA


Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb

Profili:

Avatar Url Joško Deur (autor)

Avatar Url Jure Soldo (autor)

Avatar Url Branimir Škugor (autor)

Poveznice na cjeloviti tekst rada:

www.mdpi.com

Citiraj ovu publikaciju:

Škugor, Branimir; Soldo, Jure; Deur, Joško
Analysis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicle // World Electric Vehicle Journal, 10 (2019), 4; 1-16 (međunarodna recenzija, članak, znanstveni)
Škugor, B., Soldo, J. & Deur, J. (2019) Analysis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicle. World Electric Vehicle Journal, 10 (4), 1-16.
@article{article, author = {\v{S}kugor, Branimir and Soldo, Jure and Deur, Jo\v{s}ko}, year = {2019}, pages = {1-16}, keywords = {plug-in hybrid electric vehicle, power management, battery state-of-charge trajectory, efficiency, optimization, dynamic programming}, journal = {World Electric Vehicle Journal}, volume = {10}, number = {4}, issn = {2032-6653}, title = {Analysis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicle}, keyword = {plug-in hybrid electric vehicle, power management, battery state-of-charge trajectory, efficiency, optimization, dynamic programming} }
@article{article, author = {\v{S}kugor, Branimir and Soldo, Jure and Deur, Jo\v{s}ko}, year = {2019}, pages = {1-16}, keywords = {plug-in hybrid electric vehicle, power management, battery state-of-charge trajectory, efficiency, optimization, dynamic programming}, journal = {World Electric Vehicle Journal}, volume = {10}, number = {4}, issn = {2032-6653}, title = {Analysis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicle}, keyword = {plug-in hybrid electric vehicle, power management, battery state-of-charge trajectory, efficiency, optimization, dynamic programming} }

Časopis indeksira:


  • Scopus





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