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Integrated Fault Diagnosis Algorithm for Motor Sensors of In-Wheel Independent Drive Electric Vehicles

1
Department of Electrical Engineering, Hanyang University, Seoul 133-791, Korea
2
Department of Electrical and Biomedical Engineering, Hanyang University, Seoul 133-791, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Xue Wang
Sensors 2016, 16(12), 2106; https://doi.org/10.3390/s16122106
Received: 13 October 2016 / Revised: 27 November 2016 / Accepted: 7 December 2016 / Published: 12 December 2016
(This article belongs to the Section Physical Sensors)
An integrated fault-diagnosis algorithm for a motor sensor of in-wheel independent drive electric vehicles is presented. This paper proposes a method that integrates the high- and low-level fault diagnoses to improve the robustness and performance of the system. For the high-level fault diagnosis of vehicle dynamics, a planar two-track non-linear model is first selected, and the longitudinal and lateral forces are calculated. To ensure redundancy of the system, correlation between the sensor and residual in the vehicle dynamics is analyzed to detect and separate the fault of the drive motor system of each wheel. To diagnose the motor system for low-level faults, the state equation of an interior permanent magnet synchronous motor is developed, and a parity equation is used to diagnose the fault of the electric current and position sensors. The validity of the high-level fault-diagnosis algorithm is verified using Carsim and Matlab/Simulink co-simulation. The low-level fault diagnosis is verified through Matlab/Simulink simulation and experiments. Finally, according to the residuals of the high- and low-level fault diagnoses, fault-detection flags are defined. On the basis of this information, an integrated fault-diagnosis strategy is proposed. View Full-Text
Keywords: high-level fault diagnosis; low-level fault diagnosis; integrated fault diagnosis; residual; fault table; fault-detection flag high-level fault diagnosis; low-level fault diagnosis; integrated fault diagnosis; residual; fault table; fault-detection flag
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MDPI and ACS Style

Jeon, N.; Lee, H. Integrated Fault Diagnosis Algorithm for Motor Sensors of In-Wheel Independent Drive Electric Vehicles. Sensors 2016, 16, 2106. https://doi.org/10.3390/s16122106

AMA Style

Jeon N, Lee H. Integrated Fault Diagnosis Algorithm for Motor Sensors of In-Wheel Independent Drive Electric Vehicles. Sensors. 2016; 16(12):2106. https://doi.org/10.3390/s16122106

Chicago/Turabian Style

Jeon, Namju, and Hyeongcheol Lee. 2016. "Integrated Fault Diagnosis Algorithm for Motor Sensors of In-Wheel Independent Drive Electric Vehicles" Sensors 16, no. 12: 2106. https://doi.org/10.3390/s16122106

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