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Study of Failure Examples of Automotive Electronic Control Suspension System Including Cases with Wiring Disconnection and Air Leakage

배선 단선과 에어 누설에 관련된 자동차 ECS 시스템의 고장사례 고찰

  • Lee, Il Kwon (Department of Automotive Engineering, Daelim University College) ;
  • Park, Jong Geon (Department of Automotive Engineering, Daelim University College) ;
  • Shin, Myung Shin (Department of Automotive Engineering, Daelim University College) ;
  • Jang, Joo Sup (Department of Mechanical and Automotive Engineering, Gachon University)
  • 이일권 (대림대학교 자동차공학과) ;
  • 박종건 (대림대학교 자동차공학과) ;
  • 신명신 (대림대학교 자동차공학과) ;
  • 장주섭 (가천대학교 기계자동차공학부)
  • Received : 2013.04.27
  • Accepted : 2013.05.17
  • Published : 2013.06.30

Abstract

The purpose of this study was to analyze the tribological characteristics of the Electronic control suspension System in a car. In the first example, the cilp used to attach the front electronic control suspension(ECS) system's control actuator was fastened very tightly. Thus, the wire was cut because of continual rotation of the shock-up shover piston rod used to adjust the height of the car. This verified the disconnection phenomenon where wire damaged makes it impossible for the ECS system to send signal to the actuator. The second example, involved a minute hole that allowed gas to leak from the ECS system. As a result, the height of the car verified the down phenomenon. In the third example, the resistance of a wire measured at $0.21{\Omega}$, when the G sensor was disconnected from the system. This verified the system shutdown and lighting of the ECS warning lamp because of body interference caused by a slight pressure on the battery cover. Therefore, quality control is always necessary to ensure safety and durability of a car.

Keywords

References

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Cited by

  1. Sensitivity Applied Model-Based Fault Diagnosis Algorithm for Vehicle Control System Sensors vol.26, pp.3, 2018, https://doi.org/10.7467/KSAE.2018.26.3.378
  2. Height Adjustment of Vehicles Based on a Static Equilibrium Position State Observation Algorithm vol.11, pp.2, 2018, https://doi.org/10.3390/en11020455