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Online calibration of combustion phase in a diesel engine

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Abstract

In this work, an online calibration mechanism is proposed for the combustion phase in a diesel engine. In particular, a simplified event-based engine model, of which the output predicts the optimum combustion phase, is used to aid the calibration, and the model is updated online along with the engine operation to keep the integrity high so as to improve the quality of optimum combustion phase prediction. It is found this mechanism can be applied to develop an online automated calibration process when the engine system shifts to a new operating point. Engine test results are included to demonstrate the effectiveness of the proposed mechanism.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Windsor, Windsor, N9B 3P4, Canada

    Qingyuan Tan & Xiang Chen

  2. Department of Mechanical, Automotive & Materials Engineering, University of Windsor, Windsor, N9B 3P4, Canada

    Prasad Divekar & Ming Zheng

  3. Department of Electrical and Electronic Engineering, University of Melbourne, Parkville, 3010, VIC, Australia

    Ying Tan

Authors
  1. Qingyuan Tan
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  2. Prasad Divekar
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  3. Ying Tan
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  4. Xiang Chen
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  5. Ming Zheng
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Corresponding author

Correspondence to Xiang Chen.

Additional information

The work at the Clean Combustion Engine Laboratory was supported by the Canada Research Chair program, NSERC, CFI, OIT, AUTO21, the University of Windsor, Ford Motor Company, and other OEMs.

Qingyuan TAN received his B.Eng. degree in Instrumentation and Control Science from Shanghai Jiao Tong University, China, and his M.Sc. degree in Bio Microfluidics from University of Toronto, Canada. He is currently a Ph.D. candidate at the University of Windsor, Canada.

Prasad DIVEKAR received the B.Sc. degree from the Shivaji University, India, in 2008, the M.S. degree from the Clemson University, U.S.A., in 2010, and the Ph.D. degree from the University of Windsor, Canada in 2016, all in Automotive Engineering.

Ying TAN is an Associate Professor and Reader in the Department of Electrical and Electronic Engineering at The University of Melbourne. She received her B.Sc. degree from Tianjin University, China, in 1995, and her Ph.D. from the National University of Singapore in 2002. She joined McMaster University in 2002 as a postdoctoral fellow in the Department of Chemical Engineering. She joined the Department of Electrical and Electronic Engineering Department at the University of Melbourne in 2004. E

Ming ZHENG is a Professor and Research Chair in Clean Diesel Engine Technology at the University of Windsor. He is the cofounder and the Director of the Clean Combustion Engine Lab. His research areas encompass Clean combustion including diesel combustion, low temperature combustion, diesel HCCI and PCCI, adaptive combustion control, high energy spark ignition and control, EGR hydrogen-reforming, active flow control aftertreatment, engine modeling, diagnosis, and dynamometer tests, biofuel and biodiesel research.

Xiang CHEN is a Professor in the Department of Electrical and Computer Engineering at the University of Windsor. He received the M.Sc. and Ph.D. degrees from the Louisiana State University, U.S.A., in 1996 and 1998, respectively. His research areas include Network based control system, robust and nonlinear control, vision based motion control, control applications in automotive and manufacturing systems.

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Tan, Q., Divekar, P., Tan, Y. et al. Online calibration of combustion phase in a diesel engine. Control Theory Technol. 15, 129–137 (2017). https://doi.org/10.1007/s11768-017-6178-y

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  • DOI: https://doi.org/10.1007/s11768-017-6178-y

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