Hierarchical Model-Based Fault Diagnosis for an Electrical Power Generation Storage Automotive System

Scacchioli, Annalisa; Rizzoni, Giorgio; Pisu, Pierluigi

doi:10.1109/acc.2007.4282836

Cited by 22 publications

(15 citation statements)

References 3 publications

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“…The role of the excitation field is to produce the field current necessary to excite the three-phase synchronous generator. The details on mathematical model of the alternator can be found in [2], and details on battery mathematical model can be found in [4]. The mathematical model of the alternator & rectifier is highly nonlinear and complex.…”

Section: Model Descriptionmentioning

confidence: 99%

“…These faults include belt slipping fault, voltage regulator fault, and rectifier fault. In [1] and [2] a hierarchical model-based and a model-based approach are used to deal with the problem of fault detection and identification (FDI) for the EPGS system. In [2], a parity equation approach is used to compare the behaviour of the alternator with the behaviour of the equivalent model and the resulted residual are used in the fault diagnosis algorithm design.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive threshold-based fault detection and isolation for automotive electrical systems

Hashemi

Pisu

2011

2011 9th World Congress on Intelligent Control and Automation

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In this paper, a fault diagnosis scheme to detect and isolate faults commonly occurring in a vehicle alternator system based on an adaptive thresholds approach is developed. The mathematical model of the alternator subsystem is quite involved and highly nonlinear; to simplify the diagnostic scheme, an equivalent linear time varying model based on the inputoutput behavior of the system is used for threshold equations derivation. Since the order of the adaptive thresholds obtained for the model is high, two other alternative approximations are investigated. Probability of false alarm in the first approximation is computed. Finally, validity of the proposed diagnosis scheme is tested through simulation and the results are presented.

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Section: Model Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive threshold-based fault detection and isolation for automotive electrical systems

Hashemi

Pisu

2011

2011 9th World Congress on Intelligent Control and Automation

Self Cite

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“…A failure of such alternator may leave a motorist stranded [3][4]. Timely and accurate detection of alternator problems will not only decrease "walk-home" incidences but will also significantly decrease misdiagnoses, thereby resulting in significant warranty cost savings for auto manufacturers [3][4][5][6][7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

“…While there has been active research in the sensorless condition monitoring of induction and permanent-magnet machines [14][15][16][17][18], [23], there exist only a few literatures on the condition monitoring of claw-pole alternators [3][4][5][6], and more specifically, on the detection of belt slip [3], [6]. A simplified linear dynamic model of the alternator was proposed to detect belt slip by modeling the relationship between the field excitation and output current [3].…”

Section: Introductionmentioning

confidence: 99%

Interpolated FFT for real-time detection of belt slip in automotive electric power generation and storage system

Cheng

Habetler

Zhang³

et al. 2011

2011 IEEE Conference on Prognostics and Health Management

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Belt slip is an important type of mechanical fault in the automotive electric power generation and storage (EPGS) system. This paper proposes a robust and sensorless solution for detecting serpentine belt slip. The speed of the claw-pole alternator is directly extracted from the rectifier ripple frequency from the alternator output voltage. The estimated alternator speed is then continuously compared with the engine speed to detect possible belt slip. The proposed method is implemented in a real-time fashion on an EPGS test bench. The experimental results show that the method is able to estimate the alternator speed accurately even during fast mechanical transients. The belt-slip fault can thus be reliably detected within a wide speed range. Although originally developed for automotive alternators, the sensorless speed estimation method can be also applied to other AC generators with a DC-link rectifier.

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“…As a result, the health of the vehicular electric power generation and storage (EPGS) system is crucial to ensure reliable power supply to electrical components for enhanced vehicle safety, fuel economy, reliability, and customer satisfaction. Therefore, the development of robust on-board fault detection and isolation (FDI) technology for the EPGS system is becoming increasingly important [9], [10], [12].…”

Section: Introductionmentioning

confidence: 99%

Fault diagnosis of automotive electric power generation and storage systems

Zhang

Uliyar

Farfan-Ramos

et al. 2010

2010 IEEE International Conference on Control Applications

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Automotive vehicles are becoming increasingly dependent on electric power, and this trend will accelerate. The health of the vehicular electric power generation and storage (EPGS) system is crucial to enhance vehicle safety, fuel economy, and reliability. In this paper, a fault detection and isolation method is presented for the automotive EPGS system, focusing on alternator related faults. Parity relations and structured residuals are designed using principal component analysis techniques. Real-time implementation and validation of the diagnostic algorithm have been successfully conducted by utilizing an automotive EPGS system test bench.

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Hierarchical Model-Based Fault Diagnosis for an Electrical Power Generation Storage Automotive System

Cited by 22 publications

References 3 publications

Adaptive threshold-based fault detection and isolation for automotive electrical systems

Adaptive threshold-based fault detection and isolation for automotive electrical systems

Interpolated FFT for real-time detection of belt slip in automotive electric power generation and storage system

Fault diagnosis of automotive electric power generation and storage systems

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