Abstract

Production Vehicle Evaluation (PVE) test mainly verifies the functionality of OBD system. PVE J2 test needs to verify the diagnostic mechanism for all the diagnostic Trouble Codes (DTC). While the design of fault simulation method is one of the technical difficulties of the whole PVE test. Due to the late start of PVE in China, test methods and technical skills are inadequate. This paper elaborates the failure monitoring principle and diagnosis mechanism of OBD system in detail,systematically introduces the PVE methods and J1, J2, J3 test procedures, studies and analyses the types of OBD malfunction and various fault simulation methods,finally forms a set of PVE test specifications.

Highlights

  • Production vehicle evaluation (PVE) is a new certification requirement in the emission standard of CHINA 6[1]

  • PVE J2 need to simulate all malfunction of OBD system, requiring in-depth understanding of each diagnosis theory and fault simulation methods

  • The fault diagnosis mechanism, PVE test method and fault simulation method are deeply traveled to form a complete set of PVE test specifications

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Summary

Introduction

Production vehicle evaluation (PVE) is a new certification requirement in the emission standard of CHINA 6[1]. Facing to this strange test, domestic enterprises have few relevant test experience. For some manufactures, OBD system are developed by suppliers, causing to lack of technical understanding of OBD system control strategy. PVE J2 need to simulate all malfunction of OBD system, requiring in-depth understanding of each diagnosis theory and fault simulation methods. Different enterprises adopt different OBD suppliers and control strategies. The fault diagnosis mechanism, PVE test method and fault simulation method are deeply traveled to form a complete set of PVE test specifications

OBD system
PVE certification procedure
J1 Standardized verification
J2 Monitoring requirements verification
J3 In-use monitoring performance verification
PVE malfunction simulating method
Circuit Faults
Faults simulated by tools
Findings
Conclusions
Full Text
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