2015
DOI: 10.4271/2015-24-2391
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Development of a Template Model and Simulation Approach for Quantifying the Effect of WLTP Introduction on Light Duty Vehicle CO2 Emissions and Fuel Consumption

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Cited by 15 publications
(9 citation statements)
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“…Data for building the simulation models were provided by the vehicle manufacturers, with the objective of enabling modeling with the highest possible accuracy. Real chassis dynamometer measurements were also performed as part of the study to validate the simulation results thoroughly (20). All models were validated against these measurements for both the NEDC and the WLTP test procedures.…”
Section: Introductionmentioning
confidence: 99%
“…Data for building the simulation models were provided by the vehicle manufacturers, with the objective of enabling modeling with the highest possible accuracy. Real chassis dynamometer measurements were also performed as part of the study to validate the simulation results thoroughly (20). All models were validated against these measurements for both the NEDC and the WLTP test procedures.…”
Section: Introductionmentioning
confidence: 99%
“…Since WLTC has longer duration and reaches higher speed than NEDC, a single vehicle will be warmer after WLTC than after NEDC (evidently after a start at the same conditions), thus a lower friction force will be applied in relative terms. The latter has a non-negligible effect on the CO 2 emissions of the tested cycle as demonstrated by [98].…”
Section: Chassis Preconditioningmentioning
confidence: 91%
“…The CRUISE-based synthetic collection, referred to as the batch data in the upcoming pages, is based on 13 vehicle models developed by LAT and JRC. Data for building these simulation models were provided by the corresponding vehicle manufacturers, with the objective to enable modeling with the highest possible accuracy, while the results of the models have been thoroughly validated through real chassis dyno measurements [98]. A pool of 22 sets of real tests and more than 2,500 simulation cases (based on 13 vehicle models) were developed for running the validation exercise.…”
Section: Registrations Assignmentmentioning
confidence: 99%
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“…Necessary data were obtained either from vehicle manufacturers or produced by reverse engineering, starting from available vehicle measurements. Details of the procedure are presented by Tsokolis et al (2015).…”
Section: Fuel Consumption and Co 2 Emissions Modelingmentioning
confidence: 99%