Title :
An online fault diagnosis method based on object oriented modeling for FCV power train system
Author :
Yun, Xiong ; Zai-min, Zhong ; Ze-chang, Sun
Author_Institution :
Coll. of Automotive, Tongji Univ., Shanghai
Abstract :
This article mainly deals with the object oriented online diagnosis system based on analytical redundancy for fuel cell cars. On the basis of the realization of physical modeling language, Using the specific math frame structure and code compilation system, the method transform the analytical redundancy in object-oriented language into real-time operational diagnosis code in embedded object environment by means of object-oriented physical modeling language and computer assistant developing technology.
Keywords :
automobiles; fault diagnosis; fuel cell vehicles; object-oriented languages; power engineering computing; program compilers; program diagnostics; FCV power train system; code compilation system; computer assistant developing technology; fuel cell cars; math frame structure; object-oriented language; online fault diagnosis method; physical modeling language; real-time operational diagnosis code; Engines; Fault detection; Fault diagnosis; Fuel cell vehicles; Fuel cells; Hydrogen; Object oriented modeling; Propulsion; Redundancy; Transportation; Object-oriented; analytical redundancy; fuel cell vehicle (FCV); online fault diagnosis; power train system;
Conference_Titel :
Vehicle Power and Propulsion Conference, 2008. VPPC '08. IEEE
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-1848-0
Electronic_ISBN :
978-1-4244-1849-7
DOI :
10.1109/VPPC.2008.4677524
