Existing methods of detecting the combustion phase of a diesel engine are mainly based upon high-cost in-cylinder pressure sensors. This paper presents a method of estimating the location of 75% of the mass fraction burned by using the traditional knock sensor signal. It is observed through experimental data that the knock signal has a close correlation to the location of 75% of the mass fraction burned. In this study, the knock integration is used to represent the knock intensity, while the piecewise knock integration (integration over a crank angle of 1...) is used to detect the location of 75% of the mass fraction burned. The proposed estimation method was validated using the experimental data and provided an accurate estimation of the location of 75% of the mass fraction burned. In addition, the feasibility of using the knock sensor signal to detect the biodiesel content is demonstrated using experimental data. (ProQuest: ... denotes formulae/symbols omitted.)


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Detecting the combustion phase and the biodiesel blend using a knock sensor




    Publication date :

    2014




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

    RVK:    ZO 4200 / ZO 4200:
    Local classification TIB:    275/7025
    BKL:    55.20 Straßenfahrzeugtechnik / 55.20



    Detecting the combustion phase and the biodiesel blend using a knock sensor

    Chen,X. / Haskara,I. / Wang,Y. et al. | Automotive engineering | 2015


    Detecting the combustion phase and the biodiesel blend using a knock sensor

    Chen, Xuefei / Haskara, Ibrahim / Wang, Yueyun et al. | SAGE Publications | 2015


    Measurement of Concentration in Biodiesel Blend Using Ultrasonic Sensor

    Yamane, K. / Kawasaki, K. / Japan Society of Automotive Engineers | British Library Conference Proceedings | 2010


    Knock Sensor Based Virtual Combustion Sensor Signal Bias Sensitivity

    Rugland, Christian / Stenlaas, Ola | SAE Technical Papers | 2018


    Knock Sensor Based Virtual Combustion Sensor Signal Bias Sensitivity

    Rugland, Christian / Stenlaas, Ola | British Library Conference Proceedings | 2018