Stochastic driving cycle synthesis for analyzing the energy consumption of a battery electric bus

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en Kivekas, Klaus Vepsalainen, Jari Tammi, Kari 2018-12-10T10:18:34Z 2018-12-10T10:18:34Z 2018-09-20
dc.identifier.citation Kivekas , K , Vepsalainen , J & Tammi , K 2018 , ' Stochastic driving cycle synthesis for analyzing the energy consumption of a battery electric bus ' IEEE Access , vol. 6 . DOI: 10.1109/ACCESS.2018.2871574 en
dc.identifier.issn 2169-3536
dc.identifier.other PURE UUID: 5e16a13b-f5bd-4971-b23f-a65f85dee80e
dc.identifier.other PURE ITEMURL:
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dc.description.abstract Previous driving cycle generation studies have focused on constructing a single cycle from a large data set. This paper takes the opposite approach by presenting a novel driving cycle synthetization method that can generate a large number of varying cycles and passenger numbers for a chosen bus route based on only a handful of measured cycles. The validity of the method was confirmed by comparing the statistical properties of synthesized cycles to those of measured cycles on a selected route. The method was applied to analyze the impact of driving cycle and passenger load variations on energy consumption variations of a battery electric bus on a suburban route in Espoo, Finland. Ten-thousand synthetic cycles were run with a validated electric bus simulation model, and the energy consumption during each cycle was recorded. The mean consumption was 0.914 kWh/km, the standard deviation was 0.043 kWh/km, and the range of the consumption variation was 0.331 kWh/km. The new cycle synthetization and consumption distribution forecasting methods are useful tools for public transport authority, route operators, and bus manufacturers, as they could be used in optimizing bus powertrain dimensions as well as bus line schedules. en
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries IEEE Access en
dc.relation.ispartofseries Volume 6 en
dc.rights openAccess en
dc.subject.other Computer Science(all) en
dc.subject.other Materials Science(all) en
dc.subject.other Engineering(all) en
dc.subject.other 216 Materials engineering en
dc.title Stochastic driving cycle synthesis for analyzing the energy consumption of a battery electric bus en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Engineering Design
dc.contributor.department Department of Mechanical Engineering
dc.subject.keyword Driving cycle
dc.subject.keyword electric bus
dc.subject.keyword energy consumption
dc.subject.keyword passenger load
dc.subject.keyword uncertainty
dc.subject.keyword Computer Science(all)
dc.subject.keyword Materials Science(all)
dc.subject.keyword Engineering(all)
dc.subject.keyword 216 Materials engineering
dc.identifier.urn URN:NBN:fi:aalto-201812106081
dc.identifier.doi 10.1109/ACCESS.2018.2871574
dc.type.version acceptedVersion

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