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Development of a method for on-board measurement of instant engine torque and fuel consumption rate based on direct signal measurement and RGF modelling under vehicle transient operating conditions

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  • Li, Yangyang
  • Duan, Xiongbo
  • Fu, Jianqin
  • Liu, Jingping
  • Wang, Shuqian
  • Dong, Hao
  • Xie, Yunkun

Abstract

In this paper, a hybrid approach of coupling signal measurement as well as parameters modelling is proposed to indirectly measure engine torque and fuel consumption rate under transient operating conditions. The RGF model is simplified from the complex three dynamic pressure (3DP) transducers method and changed into a two steady pressure (2SP) sensors method, which makes it readily applicable for vehicle on board applications. Compared to actual measurement from the torque and fuel flow meters, the results showed that the method developed in this paper achieved reasonable accuracy. In terms of RGF, the relative errors between the measured and simulated results are within 5% both at steady-state and transient operating conditions. In terms of measured and simulated instant torque, the relative errors are within 5% both at steady-state and transient operating conditions and the absolute errors are ± 5N.m on the NEDC cycle. In addition, in terms of measured and simulated fuel consumption rate, the relative errors of cumulative consumption fuel are within 3% in the NEDC cycle. This method could be applied to reveal, analyze and optimize the detailed process of an automotive engine under transient operating conditions.

Suggested Citation

  • Li, Yangyang & Duan, Xiongbo & Fu, Jianqin & Liu, Jingping & Wang, Shuqian & Dong, Hao & Xie, Yunkun, 2019. "Development of a method for on-board measurement of instant engine torque and fuel consumption rate based on direct signal measurement and RGF modelling under vehicle transient operating conditions," Energy, Elsevier, vol. 189(C).
    • Handle: RePEc:eee:energy:v:189:y:2019:i:c:s0360544219319139
    DOI: 10.1016/j.energy.2019.116218
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    Cited by:

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    2. Xie, Yunkun & Li, Yangyang & Zhao, Zhichao & Dong, Hao & Wang, Shuqian & Liu, Jingping & Guan, Jinhuan & Duan, Xiongbo, 2020. "Microsimulation of electric vehicle energy consumption and driving range," Applied Energy, Elsevier, vol. 267(C).
    3. Kroyan, Yuri & Wojcieszyk, Michal & Kaario, Ossi & Larmi, Martti & Zenger, Kai, 2020. "Modeling the end-use performance of alternative fuels in light-duty vehicles," Energy, Elsevier, vol. 205(C).
    4. Wang, Rumin & Qiao, Junhao & Jia, Dongdong & Shen, Dazhi & Duan, Xiongbo & Liu, Jingping, 2024. "Effects of asynchronous late intake valve closing combined with high geometric compression ratio and exhaust gas recirculation on combustion and fuel consumption in a turbocharged SI engine:An experim," Energy, Elsevier, vol. 290(C).
    5. Xia, Yan & Li, Yangyang & Liao, Cheng & Liu, Jingping & Wang, Shuqian & Qiao, Junhao & Zhang, Shijia, 2021. "On the quantitative relationship of the in-cylinder heat to work conversion process of natural gas spark ignited engine under steady state and transient operation conditions," Energy, Elsevier, vol. 221(C).
    6. Chen, Shuang & Hu, Minghui & Guo, Shanqi, 2023. "Fast dynamic-programming algorithm for solving global optimization problems of hybrid electric vehicles," Energy, Elsevier, vol. 273(C).
    7. Wróblewski, Piotr, 2023. "Investigation of energy losses of the internal combustion engine taking into account the correlation of the hydrophobic and hydrophilic," Energy, Elsevier, vol. 264(C).

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