Fault diagnosis of automotive electric power generation and storage systems

Author

Zhang, X. ; Uliyar, H. ; Farfan-Ramos, L. ; Zhang, Y. ; Salman, M.

Author_Institution

Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA

fYear

2010

fDate

8-10 Sept. 2010

Firstpage

719

Lastpage

724

Abstract

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.

Keywords

alternators; electric power generation; electric vehicles; fault diagnosis; fuel economy; principal component analysis; alternator faults; automotive electric power generation; automotive vehicles; electric power storage; fault diagnosis; fuel economy; principal component analysis; reliability; storage systems; vehicle safety; Alternators; Batteries; Belts; Engines; Regulators; Vehicles; Voltage control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications (CCA), 2010 IEEE International Conference on

Conference_Location

Yokohama

Print_ISBN

978-1-4244-5362-7

Electronic_ISBN

978-1-4244-5363-4

Type

conf

DOI

10.1109/CCA.2010.5611179

Filename

5611179