Hardware-in-the-loop testing for electric vehicle drive applications

Poon, Jason; Kinsy, Michel A.; Pallo, Nathan; Devadas, Srinivas; Čelanović, Ivan

doi:10.1109/apec.2012.6166186

Cited by 36 publications

(10 citation statements)

References 10 publications

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“…The methodology is based on models and an HIL platform, following the fault injection approach presented in Section 3.2.2. In the literature, most of the work presented about HIL platforms was focused on the development and validation of new control strategies and embedded units [27][28][29] and in some cases, authors mention the use of such platforms for the analysis of specific faults [30][31][32][33]. Nevertheless, it is difficult to find publications where an HIL platform is used systematically in the analysis of fault modes and effects of a system.…”

Section: Need For a Quantitative Fault Analysis Methodologymentioning

confidence: 99%

Model-Based Fault Analysis for Railway Traction Systems

Olmo¹,

Garramiola²,

Poza³

et al. 2018

Modern Railway Engineering

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Fault analysis in industrial equipment has been usually performed using classical techniques such as failure modes and effects analysis (FMEA) and fault tree analysis (FTA). Model-based fault analysis has been used during the last several years in order to overcome the limitations of classical methods when complex industrial equipment has to be analyzed. In railway and automotive sectors, the development and validation of new products are based on hardware-in-the-loop (HIL) platforms. In this chapter, a methodology to enhance classical FMEAs is presented. Based on HIL simulations, the objective is to improve the results of the fault analysis with quantitative information about the effects of each fault mode. In this way, the impact of the fault analysis in the design of the traction system, the development of new diagnostic functionalities and in the maintenance tasks will increase.

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Section: Need For a Quantitative Fault Analysis Methodologymentioning

confidence: 99%

Model-Based Fault Analysis for Railway Traction Systems

Olmo¹,

Garramiola²,

Poza³

et al. 2018

Modern Railway Engineering

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“…Two kinds of studies have been identified. The first one focusses on the testing of electric drives to assess the merits of different control strategies under various operating conditions and fault conditions, as in [11] [12]. The second one deals with the simulation of the load to be driven electrically which is often the hydraulic pump for fluid power applications.…”

Section: State Of the Artmentioning

confidence: 99%

Assessment of Electric Drive for Fuel Pump using Hardware in the Loop Simulation

Attar¹,

Maré²

2017

Linköping Electronic Conference Proceedings

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The present communication deals with the evaluation of electric drives used in fuel system by using Hardware In the Loop (HIL) methodology. At the designing stage of electric drive, there are a lot of choices concerning electric motor technology (DC motors, AC motors, BLDC motors, PMSP motors) while there may be a lot of uncertainty in working environment, mission profile and control strategy at fuel pump level. For these reasons, HIL is suggested as solution that permits to test different motor technologies regardless the applied load. The outcome of HIL will be the most effective motor for studied application. Thermal model and power supply model are presented in this paper to be integrated in real-time model with tested electric motor model, to get virtual prototype closer to the real system. As a result, observations and restrictions of HIL methodology are presented, which point up the impact of the selection of the real motor and its drive.

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“…The hardware-in-the-loop emulator leverages a novel FPGA-based soft processor that solves piecewise linear state space models in hard real-time with 1 µs time step [3]. The piecewise linear state space modeling approach enables complete modeling of all modes and transitions, including dead time, fully rectifying mode, and fault modes.…”

Section: Introductionmentioning

confidence: 99%

High-fidelity real-time hardware-in-the-loop emulation of PMSM inverter drives

Poon

Chai

Čelanović

et al. 2013

2013 IEEE Energy Conversion Congress and Exposition

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We describe the design, implementation, and experimental validation of an ultra-fast real-time hardware-in-theloop emulation of a permanent magnet synchronous machine (PMSM) inverter drive. The power electronics converter and machine are modeled using a flexible piecewise linear state space approach and are simulated in hard real-time with 1 µs time step, which enables high-fidelity modeling of converter switching dynamics, including dead time and fully rectifying mode. We validate the fidelity of the real-time PMSM drive emulation by making real-time comparisons with a reference hardware model of a PMSM drive (scaled down system rated at 2.7 A and 200 V). Additionally, we experimentally demonstrate the capability of the hardware-in-the-loop PMSM drive emulation under various operating scenarios, including steady state, transient, and fault conditions.

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Hardware-in-the-loop testing for electric vehicle drive applications

Cited by 36 publications

References 10 publications

Model-Based Fault Analysis for Railway Traction Systems

Model-Based Fault Analysis for Railway Traction Systems

Assessment of Electric Drive for Fuel Pump using Hardware in the Loop Simulation

High-fidelity real-time hardware-in-the-loop emulation of PMSM inverter drives

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