Fault Diagnosis in the Automotive Electric Power Generation and Storage System (EPGS)

2013 ◽  
Vol 18 (6) ◽  
pp. 1809-1818 ◽  
Author(s):  
Anuradha Kodali ◽  
Yilu Zhang ◽  
Chaitanya Sankavaram ◽  
Krishna Pattipati ◽  
Mutasim Salman
Keyword(s):  
Power Generation ◽  
Fault Diagnosis ◽  
Electric Power ◽  
Storage System ◽  
Electric Power Generation ◽  
And Storage

Model-based Diagnosis of an Automotive Electric Power Generation and Storage System

2014 ◽  
Vol 44 (1) ◽  
pp. 72-85 ◽  
Author(s):  
Annalisa Scacchioli ◽  
Giorgio Rizzoni ◽  
Mutasim A. Salman ◽  
Weiwu Li ◽  
Simona Onori ◽  
...  
Keyword(s):  
Power Generation ◽  
Electric Power ◽  
Storage System ◽  
Electric Power Generation ◽  
Model Based ◽  
And Storage

Experimental Calibration and Validation of Fault Diagnosis and Prognosis Algorithms for Automotive Electric Power Generation and Storage System

2008 ◽  
Author(s):  
Weiwu Li ◽  
Chris Suozzo ◽  
Simona Onori ◽  
Giorgio Rizzoni ◽  
Mutasim A. Salman ◽  
...  
Keyword(s):  
Experimental Data ◽  
Power Generation ◽  
Fault Diagnosis ◽  
Electric Power ◽  
Test Bench ◽  
Electric Power Generation ◽  
Experimental Calibration ◽  
Calibration And Validation ◽  
Diagnosis Algorithm ◽  
Fault Diagnosis And Prognosis

This paper is a continuation of the work on the model-based fault diagnosis for the automotive electric power generation system (EPGS) presented in [5]. Based on the previous work on the subject, a new and optimized fault diagnosis algorithm for the EPGS system is developed. In this paper, the thresholds for the diagnosis algorithm are selected and calibrated based on experimental data. The test bench used for the calibration and validation process is discussed. Finally the effectiveness of the fault diagnosis algorithm and threshold selection is validated using experimental data collected from the test bench.

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