Show simple item record

dc.contributor.authorJalalmaab, Mohammadmehdi 14:14:49 (GMT) 14:14:49 (GMT)
dc.description.abstractIn this thesis, we propose a stochastic power management strategy for in-wheel motor electric vehicles (IWM-EVs) to optimize energy consumption and to increase driving range. The driving range for EVs is a critical issue since the battery is the only source of energy. Considering the unpredictable nature of the driver’s power demand, a stochastic dynamic programing (SDP) control scheme is employed. The Policy Iteration Algorithm, one of the efficient SDP algorithms for infinite horizon problems, is used to calculate the optimal policies which are time-invariant and can be implemented directly in real-time application. Applying this control package to a high-fidelity model of an in-wheel motor electric vehicle developed in the Autonomie/Simulink environment results in considerable battery charge economy performance, while it is completely free to launch since it does not need further sensor and communication system. In addition, a skid avoidance algorithm is integrated to the power management strategy to maintain the wheels’ slip ratios within the desired values. Undesirable slip ratio causes poor brake and traction control performances and therefore should be avoided. The simulation results with the integrated power management and skid avoidance systems show that this system improves the braking performance while maintaining the power efficiency of the power management system.en
dc.publisherUniversity of Waterlooen
dc.subjectBattery electric vehicleen
dc.subjectPower management systemsen
dc.subjectIn-wheel motor electric vehicleen
dc.subjectStochastic programmingen
dc.subjectMarkov processesen
dc.subjectDynamic programmingen
dc.titleStochastic Power Management Strategy for in-Wheel Motor Electric Vehiclesen
dc.typeMaster Thesisen
dc.subject.programSystem Design Engineeringen Design Engineeringen
uws-etd.degreeMaster of Applied Scienceen

Files in this item


This item appears in the following Collection(s)

Show simple item record


University of Waterloo Library
200 University Avenue West
Waterloo, Ontario, Canada N2L 3G1
519 888 4883

All items in UWSpace are protected by copyright, with all rights reserved.

DSpace software

Service outages