Pregled bibliografske jedinice broj: 1003199
Analysis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicle
Analysis of Optimal Battery State-of-Charge Trajectory for Blended Regime of Plug-in Hybrid Electric Vehicle // EVS32 PROCEEDINGS
Lyon, Francuska, 2019. str. 1-12 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1003199 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
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
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
EVS32 PROCEEDINGS
/ - , 2019, 1-12
Skup
32nd International Electric Vehicle Symposium & Exhibition (EVS32)
Mjesto i datum
Lyon, Francuska, 19.05.2019. - 22.05.2019
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Plug in hybrid electric vehicle, battery state of charge, powertrain, efficiency, optimisation, power management
Sažetak
The paper deals with an analysis of optimal battery state-of-charge (SoC) trajectory profile for plug-in hybrid electric vehicles (PHEV). The case of blended operating regime is considered, where hybrid driving mode is enabled during the whole trip. The analysis relates to a SoC trajectory length minimization pattern observed in optimal SoC trajectories obtained by using dynamic programming-based optimisation of PHEV powertrain control variables. The emphasis is on analytical interpretation of the optimal SoC trajectory pattern from the perspectives of simplified battery only system and the whole PHEV powertrain. Also, the impact of engine specific fuel consumption characteristic on the optimal SoC trajectory solution is analysed.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb
