Sensitivity analyses for cross-coupled parameters in automotive powertrain optimization

Simple item page
dc.contributor.authorOthaganont, Pongpun
dc.contributor.authorAssadian, Francis
dc.contributor.authorAuger, Daniel J.
dc.date.accessioned2024-02-14T10:34:38Z
dc.date.available2024-02-14T10:34:38Z
dc.date.issued2014-06-17
dc.description.abstractWhen vehicle manufacturers are developing new hybrid and electric vehicles, modeling and simulation are frequently used to predict the performance of the new vehicles from an early stage in the product lifecycle. Typically, models are used to predict the range, performance and energy consumption of their future planned production vehicle; they also allow the designer to optimize a vehicle’s configuration. Another use for the models is in performing sensitivity analysis, which helps us understand which parameters have the most influence on model predictions and real-world behaviors. There are various techniques for sensitivity analysis, some are numerical, but the greatest insights are obtained analytically with sensitivity defined in terms of partial derivatives. Existing methods in the literature give us a useful, quantified measure of parameter sensitivity, a first-order effect, but they do not consider second-order effects. Second-order effects could give us additional insights: for example, a first order analysis might tell us that a limiting factor is the efficiency of the vehicle’s prime-mover; our new second order analysis will tell us how quickly the efficiency of the powertrain will become of greater significance. In this paper, we develop a method based on formal optimization mathematics for rapid second-order sensitivity analyses and illustrate these through a case study on a C-segment electric vehicle.en_UK
dc.identifier.citationOthaganont P, Assadian F, Auger D. (2014) Sensitivity analyses for cross-coupled parameters in automotive powertrain optimization. Energies, Volume 7, Issue 6, June 2014, pp. 3733-3747en_UK
dc.identifier.issn1996-1073
dc.identifier.urihttps://doi.org/10.3390/en7063733
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/20791
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 3.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/*
dc.subjecthybrid and electric vehiclesen_UK
dc.subjectsensitivity analysisen_UK
dc.subjectpowertrain optimizationen_UK
dc.titleSensitivity analyses for cross-coupled parameters in automotive powertrain optimizationen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Cross-coupled_parameters_in_automotive_powertrain_optimization-2014.pdf
Size:
706.62 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SATM)