Title: Model-based electric traction drive resolver fault diagnosis for electrified vehicles

Authors: Tianpei Li; Giorgio Rizzoni; Qadeer Ahmed; Jason Meyer; Mathew Boesch; Bader Badreddine

Addresses: Center for Automotive Research, Department of Mechanical and Aerospace Engineering, The Ohio State University, Columbus, OH 43212, USA ' Center for Automotive Research, Department of Mechanical and Aerospace Engineering, The Ohio State University, Columbus, OH 43212, USA ' Center for Automotive Research, Department of Mechanical and Aerospace Engineering, The Ohio State University, Columbus, OH 43212, USA ' Ford Motor Company, Dearborn, MI 48124, USA ' Ford Motor Company, Dearborn, MI 48124, USA ' Ford Motor Company, Dearborn, MI 48124, USA

Abstract: In electric and hybrid electric vehicles (EVs/HEVs) the electric traction drive plays an important role in producing driving torque. The motor torque request is calculated based on pedal positions from the driver and motor speed measurement from the position and speed sensor, typically the resolver. When there is a fault in the resolver that leads to inaccurate motor speed measurement, the vehicle supervisory controller may request undesired motor torque, which may lead to motor torque oscillations that could result in safety or degradation problems. This paper presents a model-based approach for diagnosing the resolver fault in the electrified vehicles, with focus on two typical types of faults, amplitude imbalance and quadrature imperfection. Before the diagnostic strategy is designed, resolver failure modes and fault propagation are analysed using a high-fidelity hybrid electric vehicle powertrain simulator. The proposed diagnostic strategy is implemented and validated through model-in-the-loop simulation, augmented by experimental data.

Keywords: fault diagnosis; hybrid electric vehicle; HEV; electric traction drive; permanent magnet synchronous machine; PMSM; structural analysis.

DOI: 10.1504/IJPT.2020.108411

International Journal of Powertrains, 2020 Vol.9 No.1/2, pp.59 - 78

Received: 02 Feb 2019
Accepted: 24 Jun 2019
Published online: 13 Jul 2020 *

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