DocumentCode :
1855604
Title :
Vehicle Design Validation via Remote Vehicle Diagnosis: A feasibility study on battery management system
Author :
Zhang, Yilu ; Gantt, Gary W., Jr. ; Rychlinski, Mark ; Edwards, Ryan ; Correia, John ; Wolf, Calvin
Author_Institution :
GM R&D & Planning, Gen. Motors Corp., Warren, MI
fYear :
2008
fDate :
6-9 Oct. 2008
Firstpage :
1
Lastpage :
6
Abstract :
In recent years, passenger vehicle product development faces great challenges to maintain high vehicle quality due to the proliferation of Electronics, Control and Software (ECS) features and the resultant system complexity. Quickly detecting and trouble-shooting faults of integrated vehicle systems during the validation stage in a key to enhancing vehicle quality. In this paper, we present a feasibilty study of Vehicle Design Validation via Remote Vehicle Diagnosis (VDV-via-RVD) and its application in the validation of vehicle battery management system. After the discussion of the advantages and challenges of VDV-via-RVD, some preliminary experimental results are presented to demonstrate the concept.
Keywords :
automotive electronics; battery management systems; vehicles; battery management system; feasibility study; remote vehicle diagnosis; vehicle design validation; Application software; Battery management systems; Battery powered vehicles; Control systems; Face detection; Fault detection; Product development; Software maintenance; Software quality; Vehicle detection; anomaly detection; battery management system; fault isolation; remote vehicle diagniosis; vehicle design validation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Prognostics and Health Management, 2008. PHM 2008. International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
978-1-4244-1935-7
Electronic_ISBN :
978-1-4244-1936-4
Type :
conf
DOI :
10.1109/PHM.2008.4711431
Filename :
4711431
Link To Document :
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