DocumentCode
2681954
Title
Online fault diagnosis of hybrid electric vehicles based on embedded system Changqing Song
Author
Changqing Song ; Jun Li ; Dawei Qu ; Dongqing Zhou ; Luyan Fan
Author_Institution
State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Changchun, China
Volume
4
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
274
Lastpage
277
Abstract
In this paper, embedded system was used to work for the online fault diagnosis of hybrid electric vehicles (HEV). This system took 32-bit embedded one as a hardware platform, customized a WinCE6.0 operation system and used Embedded Visual C++ (EVC) as the tool to design the embedded application. Through this online diagnosis device, the failure phenomenon, failure causes and failure rules on hybrid electric vehicles were put forward. CAN communication and protocol SAE J1939 were applied in this system. As for the need of Real-timing fault-diagnosis, a new method of layered fault-diagnosis theory and reasoning algorithm which based on event trigger was presented. Meanwhile, the degree of confidence was counted by uncertainty reasoning rules. Testing results show that the online fault diagnosis equipment was very accurate and effective.
Keywords
C++ language; controller area networks; embedded systems; fault diagnosis; hybrid electric vehicles; inference mechanisms; mechanical engineering computing; protocols; uncertainty handling; visual languages; CAN communication; WinCE6.0 operation system; embedded Visual C++; embedded system; event trigger; hybrid electric vehicle; online fault diagnosis; protocol SAE J1939; reasoning algorithm; uncertainty reasoning rule; Cognition; Hardware; Man machine systems; Protocols; Radiation detectors; Read only memory; System testing; Embedded system; HEV; On-line fault diagnosis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4244-7957-3
Type
conf
DOI
10.1109/CMCE.2010.5610146
Filename
5610146
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