Paper
22 May 2006 Review of hardware-in-the-loop simulation and its prospects in the automotive area
Hosam K. Fathy, Zoran S. Filipi, Jonathan Hagena, Jeffrey L. Stein
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Abstract
Hardware-in-the-loop (HIL) simulation is rapidly evolving from a control prototyping tool to a system modeling, simulation, and synthesis paradigm synergistically combining many advantages of both physical and virtual prototyping. This paper provides a brief overview of the key enablers and numerous applications of HIL simulation, focusing on its metamorphosis from a control validation tool into a system development paradigm. It then describes a state-of-the art engine-in-the-loop (EIL) simulation facility that highlights the use of HIL simulation for the system-level experimental evaluation of powertrain interactions and development of strategies for clean and efficient propulsion. The facility comprises a real diesel engine coupled to accurate real-time driver, driveline, and vehicle models through a highly responsive dynamometer. This enables the verification of both performance and fuel economy predictions of different conventional and hybrid powertrains. Furthermore, the facility can both replicate the highly dynamic interactions occurring within a real powertrain and measure their influence on transient emissions and visual signature through state-of-the-art instruments. The viability of this facility for integrated powertrain system development is demonstrated through a case study exploring the development of advanced High Mobility Multipurpose Wheeled Vehicle (HMMWV) powertrains.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hosam K. Fathy, Zoran S. Filipi, Jonathan Hagena, and Jeffrey L. Stein "Review of hardware-in-the-loop simulation and its prospects in the automotive area", Proc. SPIE 6228, Modeling and Simulation for Military Applications, 62280E (22 May 2006); https://doi.org/10.1117/12.667794
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Cited by 117 scholarly publications.
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KEYWORDS
Computer simulations

Prototyping

Device simulation

Control systems

Virtual reality

Systems modeling

Atmospheric particles

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