Design and realization of a performance and reliability evaluation module for commercialized anti-lock braking systems

Jun Hong Wu, Shu Heng Guo, Kuo Shen Chen, Mi Ching Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


A novel testing system is designed and realized for fulfilling the performance and durability tests of commercial ABS modules. Instead of using real rotating component to generate slipping condition for triggering an ABS, this system relies on electrical signals to create virtual slip to mimic the situation of ABS actions for triggering the action. The system mainly concerns the dynamic responses, such as bandwidth and pressure holding capabilities of the hydraulic control unit of ABS after receiving the command. Meanwhile, additional monitoring sensors such as accelerometers and thermo-couples are also integrated for diagnosing ABS behaviors from a root-cause manner. Finally, essential benchmark tests using Bosch 9 modules are performed for demonstrating the performance of this testing system. Furthermore, in addition to the original purpose, this system is currently integrated with a rotor for performing braking tests to serve as a bridge between factory benchmark testing and the subsequent road tests. This testing system also provided space for evaluating controller design with commercialized module in real service and would be the major future work.

Original languageEnglish
Title of host publicationMechatronics 2019
Subtitle of host publicationRecent Advances Towards Industry 4.0
EditorsRoman Szewczyk, Michal Nowicki, Anna Ostaszewska-Lizewska, Jirí Krejsa
PublisherSpringer Verlag
Number of pages9
ISBN (Print)9783030299927
Publication statusPublished - 2020
EventInternational conference on Mechatronics, 2019 - Warsaw, Poland
Duration: 2019 Sept 162019 Sept 18

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365


ConferenceInternational conference on Mechatronics, 2019

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • General Computer Science


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