Browsing Waterloo Research by Author "Azad, Nasser L"
Now showing items 1-5 of 5
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A Comparative Analysis of Route-Based Energy Management Systems for Phevs
Taghavipour, Amir; Vajedi, Mahyar; Azad, Nasser L.; McPhee, John (Wiley, 2015-07-29)Plug-in hybrid electric vehicle (PHEV) development seems to be essential step on the path to widespread deployment of electric vehicles (EVs) as the zero-emission solution for the future of transportation. Because of their ... -
Design and evaluation of a predictive powertrain control system for a plug-in hybrid electric vehicle to improve the fuel economy and the emissions
Taghavipour, Amir; Azad, Nasser L; McPhee, John (SAGE, 2014-09-30)In this article, a power management scheme for a plug-in power-split hybrid electric vehicle is designed on the basis of the model predictive control concept of charge depletion plus charge sustenance strategy and the ... -
Design and evaluation of an observer-based disturbance rejection controller for electric power steering systems
Mehrabi, Naser; McPhee, John; Azad, Nasser L. (SAGE, 2015-08-13)The goal of this paper is to develop an observer-based disturbance rejection electric power steering (EPS) controller to provide steering assistance and improve the driver’s steering feel. For the purpose of control design, ... -
An optimal power management strategy for power split plug-in hybrid electric vehicles
Taghavipour, Amir; Azad, Nasser L.; McPhee, John (Inderscience, 2012-10-22)Model Predictive Control (MPC) can be an interesting concept for designing a power management strategy for Hybrid Electric Vehicles (HEVs) according to its capability of online optimisation by receiving current information ... -
Real-time predictive control strategy for a plug-in hybrid electric powertrain
Taghavipour, Amir; Azad, Nasser L.; McPhee, John (Elsevier, 2015-08-01)Model predictive control is a promising approach to exploit the potentials of modern concepts and to fulfill the automotive requirements. Since, it is able to handle constrained multi-input multi-output optimal control ...