Simulation Data for Model-Based Range Prediction for Electric Cars and Trucks under Real-World Conditions

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datacite.resourcetypeSimulation Data
dc.contributor.authorDollinger, Manfred
dc.contributor.authorFischerauer, Gerhard
dc.date.accessioned2024-03-13T15:58:07Z
dc.date.available2024-03-13T15:58:07Z
dc.date.issued2021-09-20
dc.description.abstractMDPI_MDFG_2021_09_17 contains all data of the 36 simulations with the vehicle model developed for the prediction of the Range of electric cars and trucks under Real-World Conditions. The vehicle model was developed at the University of Bayreuth, Chair of Measurement and Control Systems. The data format is MS_EXCEL.en
dc.identifier.doi10.15495/do_ubt_2054
dc.identifier.urihttps://doi.org/10.15495/do_ubt_2054
dc.identifier.urihttps://rdspace.uni-bayreuth.de/handle/rdspace-ubt/13
dc.language.isoen
dc.publisherUniversity of Bayreuth
dc.relation.ispartof10.3390/en14185804
dc.relation.urihttps://doi.org/10.3390/en14185804
dc.rights.licenseCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0
dc.subjectBattery Electric Vehicle (BEV)
dc.subjectElectric Truck
dc.subjectCruising Range
dc.subjectReal-world Conditions
dc.subjectPhysical Model
dc.subjectRange Prediction
dc.subjectConsumption Shares
dc.subjectRecuperation
dc.subjectRolling Resistance
dc.subject.dfg4 Engineering Sciences
dc.subject.dfg4 Engineering Sciences :: 44 Informatics, Systems and Electrical Engineering
dc.subject.dfg4 Engineering Sciences :: 44 Informatics, Systems and Electrical Engineering :: 407 Systems Engineering
dc.subject.dfg4 Engineering Sciences :: 44 Informatics, Systems and Electrical Engineering :: 407 Systems Engineering :: 407-04 Traffic and Transport Systems, Intelligent and Automated Traffic
dc.titleSimulation Data for Model-Based Range Prediction for Electric Cars and Trucks under Real-World Conditionsen
dc.typeDataset

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