Next Article in Journal
Dimensioning and Optimization of Hybrid Li-Ion Battery Systems for EVs
Previous Article in Journal
Estimating the Charging Profile of Individual Charge Sessions of Electric Vehicles in The Netherlands
Article Menu

Export Article

Open AccessArticle
World Electr. Veh. J. 2018, 9(2), 18; https://doi.org/10.3390/wevj9020018

A Method for the Quantification of Powertrain Electrification Impacts on Driving Dynamics

1
Robert Bosch GmbH, 71701 Schwieberdingen, Germany
2
Institut für Mechatronische Systeme im Maschinenbau, Technische Universität Darmstadt, 64287 Darmstadt, Germany
*
Author to whom correspondence should be addressed.
Received: 2 May 2018 / Revised: 24 June 2018 / Accepted: 25 June 2018 / Published: 27 June 2018
Full-Text   |   PDF [2854 KB, uploaded 27 June 2018]   |  

Abstract

This paper discusses a novel simulation-based study quantifying the impacts of driving dynamics in the electrification of conventional powertrains into hybrid powertrains. Towards this aim, the Fourier amplitude sensitivity test (FAST) is used to facilitate sensitivity analysis. Design of experiments and artificial neural network methods are employed to approximate the solution space to ensure a computationally efficient application of the FAST. To demonstrate this method, a simulation-based study was conducted to evaluate the electrification impacts in a challenging driving dynamic investigation scenario. View Full-Text
Keywords: case-study; parallel HEV; powertrain; simulation; vehicle performance case-study; parallel HEV; powertrain; simulation; vehicle performance
Figures

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Kraft, M.; Rinderknecht, S. A Method for the Quantification of Powertrain Electrification Impacts on Driving Dynamics. World Electr. Veh. J. 2018, 9, 18.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
World Electr. Veh. J. EISSN 2032-6653 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top