University of Surrey

Test tubes in the lab Research in the ATI Dance Research

The Application of Control and Wheel Torque Allocation Techniques to Driving Modes for Fully Electric Vehicles

Pennycott, A, de Novellis, L, Sorniotti, A and Gruber, P (2014) The Application of Control and Wheel Torque Allocation Techniques to Driving Modes for Fully Electric Vehicles SAE International Journal of Passenger Cars - Mechanical Systems, 7 (2). pp. 488-496.

Full text not available from this repository.

Abstract

The combination of continuously-acting high level controllers and control allocation techniques allows various driving modes to be made available to the driver. The driving modes modify the fundamental vehicle performance characteristics including the understeer characteristic and also enable varying emphasis to be placed on aspects such as tire slip and energy efficiency. In this study, control and wheel torque allocation techniques are used to produce three driving modes. Using simulation of an empirically validated model that incorporates the dynamics of the electric powertrains, the vehicle performance, longitudinal slip and power utilization during straight-ahead driving and cornering maneuvers under the different driving modes are compared. The three driving modes enable significant changes to the vehicle behavior to be induced, allowing the responsiveness of the car to the steering wheel inputs and the lateral acceleration limits to be varied according to the selected driving mode. Furthermore, the different driving modes have a significant impact on the longitudinal tire slip, the motor power losses and the total power utilization. The control and wheel torque allocation methods do not rely on complex and computationally demanding online optimization schemes and can thus be practically implemented on real fully electric vehicles. Copyright © 2014 SAE International.

Item Type: Article
Authors :
NameEmailORCID
Pennycott, AUNSPECIFIEDUNSPECIFIED
de Novellis, Ll.denovellis@surrey.ac.ukUNSPECIFIED
Sorniotti, Aa.sorniotti@surrey.ac.ukUNSPECIFIED
Gruber, Pp.gruber@surrey.ac.ukUNSPECIFIED
Date : 1 January 2014
Identification Number : 10.4271/2014-01-0085
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:18
Last Modified : 17 May 2017 15:10
URI: http://epubs.surrey.ac.uk/id/eprint/838693

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800