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Model-Based Temperature Sensor Fault Detection and Fault-Tolerant Control of Urea-Selective Catalyst Reduction Control Systems

Author

Listed:
  • Jie Hu

    (Wuhan University of Technology, Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan 430070, China
    Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan 430070, China)

  • Junliang Wang

    (Wuhan University of Technology, Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan 430070, China
    Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan 430070, China)

  • Jiawei Zeng

    (Wuhan University of Technology, Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan 430070, China
    Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan 430070, China)

  • Xianglin Zhong

    (China Automotive Technology and Research Center Co., Ltd., Tianjin 300300, China)

Abstract

This paper aims at investigating the fault diagnosis of the selective catalyst reduction (SCR) outlet temperature sensors and fault-tolerant control methods of the SCR system, and three typical faults of downstream temperature sensors were modeled and analyzed to present influences of different faults on the SCR system performances (such as nitrogen oxides (NO x ) emission and conversion efficiency, NH 3 slip, urea dosage and ammonia coverage estimation). A temperature model was established to estimate the SCR outlet temperature, and diagnostics were developed based on the differences between model estimates and sensor measurements. Once a downstream temperature sensor fault was detected, the fault-tolerant control will be enabled, and the output of the sensor may be substituted with the estimates of the model. Thus, SCR performances shall be maintained within the acceptable ranges. Moreover, a 0-D SCR model was also established to validate the capability of diagnostics and fault-tolerant control strategy over the European transient cycle (ETC).

Suggested Citation

  • Jie Hu & Junliang Wang & Jiawei Zeng & Xianglin Zhong, 2018. "Model-Based Temperature Sensor Fault Detection and Fault-Tolerant Control of Urea-Selective Catalyst Reduction Control Systems," Energies, MDPI, vol. 11(7), pages 1-17, July.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1800-:d:157074
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    References listed on IDEAS

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    1. Liu, Junheng & Sun, Ping & Huang, He & Meng, Jian & Yao, Xiaohua, 2017. "Experimental investigation on performance, combustion and emission characteristics of a common-rail diesel engine fueled with polyoxymethylene dimethyl ethers-diesel blends," Applied Energy, Elsevier, vol. 202(C), pages 527-536.
    2. Tamilselvan, P. & Nallusamy, N. & Rajkumar, S., 2017. "A comprehensive review on performance, combustion and emission characteristics of biodiesel fuelled diesel engines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1134-1159.
    3. Wei, Li & Yan, Fuwu & Hu, Jie & Xi, Guangwei & Liu, Bo & Zeng, Jiawei, 2017. "Nox conversion efficiency optimization based on NSGA-II and state-feedback nonlinear model predictive control of selective catalytic reduction system in diesel engine," Applied Energy, Elsevier, vol. 206(C), pages 959-971.
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