Pregled bibliografske jedinice broj: 1088363
Method for assessing small-to-medium vehicle driving cycles based on real GPS data
Method for assessing small-to-medium vehicle driving cycles based on real GPS data // Proceedings of the 14th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES 2019) / Duić, Neven ; Ban, Marko (ur.).
Zagreb: -, 2019. str. - (plenarno, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1088363 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Method for assessing small-to-medium vehicle driving
cycles based on real GPS data
Autori
Perković, Luka ; Pukšec, Tomislav ; Duić, Neven
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 14th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES 2019)
/ Duić, Neven ; Ban, Marko - Zagreb, 2019
Skup
14th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES 2019)
Mjesto i datum
Dubrovnik, Hrvatska, 01.10.2020. - 06.10.2020
Vrsta sudjelovanja
Plenarno
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Synthetic driving cycles ; Battery electric vehicles ; Energy planning ; Energy demand
Sažetak
This paper presents a novel method for the statistical evaluation of the synthetic driving cycles for small-to-medium vehicles, based on the real driving cycles recorded with GPS tracker with resolution of five seconds. The recorded data is processed so it can be used as an input for energy planning, namely the estimation of battery electric vehicles' energy demand and charging strategies in dump, smart and V2G regimes. Initial statistical analysis shows that hourly distribution among various vehicles is best represented with gamma distribution. However, due to the lower amount of data recorded from the GPS, synthetic driving cycles are matching the data measurement with correlation of 0.5 and 0.8 for work days and weekends, respectively. This drawback can be avoided with more data being recorded during the research on the topic and consequent re-tuning of the distribution parameters.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo, Tehnologija prometa i transport
POVEZANOST RADA
Projekti:
PKP-2016-06-3300 - Energetski neovisna Hrvatska bazirana na visokom udjelu obnovljivih izvora energije te različitih tehnologija brzog odziva (RESFlex) (Duić, Neven, HRZZ - 2016-06) ( CroRIS)
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb,
Rudarsko-geološko-naftni fakultet, Zagreb
