Title: Propulsion and auxiliary loads identification and validation using HIL simulations

Authors: Soheil Mohagheghi Fard; Yanjun Huang; Amir Khajepour

Addresses: Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, Canada ' Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, Canada ' Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, Canada

Abstract: The electrification of auxiliary systems in service vehicles can noticeably reduce the engine idling time and fuel consumption. To replace an engine-driven auxiliary system with the electric one, size of required components (a battery pack and a generator) should be determined based on the information that can be obtained from propulsion and auxiliary loads of a target vehicle. Propulsion and auxiliary loads are defined as the portion of engine power that is used for moving the vehicle and auxiliary devices, respectively. In this paper, a model-based estimation algorithm is developed to estimate auxiliary and propulsion loads. The algorithm is validated using a hardware-in-the-loop system. The results show that the proposed algorithm can accurately identify propulsion and auxiliary loads in service vehicles.

Keywords: auxiliary torque estimation; propulsion load identification; hardware-in-the-loop; HIL; mass estimation; auxiliary load identification.

DOI: 10.1504/IJPT.2018.095636

International Journal of Powertrains, 2018 Vol.7 No.4, pp.281 - 301

Received: 08 Nov 2016
Accepted: 27 Aug 2017
Published online: 16 Oct 2018 *

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