Engine-in-the-Loop Validation of a Frequency Domain Power Distribution Strategy for Series Hybrid Powertrains

Kim, Youngki; Ersal, Tulga; Salvi, Ashwin; Filipi, Zoran; Stefanopoulou, Anna G.

doi:10.3182/20121023-3-fr-4025.00058

Cited by 7 publications

(3 citation statements)

References 38 publications

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“…To avoid this undesirable behavior, several anti-windup schemes can be implemented, as briefly mentioned for EiL setups. 11,27,28,32 More generally, the most common anti-windup method chosen in this study is the tracking back calculation. 37–39 As represented in blue in Figure 2, it consists in a feedback from the saturation to the integral term, defined by the gain K AW .…”

Section: Design Of the Driver Modelmentioning

confidence: 99%

“…The most common approach to achieve longitudinal speed control is the use of a Proportional-Integral (PI) regulator, with both demand and achieved speeds as inputs, and brake and accelerator pedal positions as outputs. 11,[24][25][26][27][28][29][30][31][32][33][34] Several functions can also be added, such as preview and anti-windup. However, the available literature does not give further details regarding the design of these functions, and more importantly, the tuning of this regulator.…”

Section: Contextmentioning

confidence: 99%

“…In fact, when completing a cycle on the rollerbench, the human driver can see several seconds ahead of the speed demand on a screen. Although some EiL references do mention the use of a preview for the driver, [26][27][28]32,34 there is very few detail on its implementation. A simple approach was adopted, represented in green in Figure 2.…”

Section: Speed Demand Previewmentioning

confidence: 99%

See 2 more Smart Citations

Design and off-line tuning of a longitudinal driver model for EiL applications

Gilormini

Chessé

Tauzia

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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Tightnening emission regulations and increasing powertrain complexity lead car manufacturers to rely on novel testing methods in order to frontload development. Among these, Engine-in-the-Loop, that is, the coupling of a physical internal combustion engine (ICE) on a testbed with a virtual environment, shows great promise for emission- and consumption-related tasks. In particular, this study focuses on the driver model, a simple yet crucial component of the virtual environment. A longitudinal driver model is developed in Simulink based on the PI-regulation structure and augmented with anti-windup, cycle preview, and takeoff strategy. While the PI approach is generally chosen in the literature, this study details the implementation of the added functions, and proposes a method for the gains of the model to be tuned in simulation by considering engine dynamics, and using several performance indicators. The virtual driver is then tested in a complete EiL setup simulating an electric hybrid driveline and shows satisfactory cycle-following and overall behavior on a WLTC. Robustness of the tuning method is also studied by varying vehicle parameters on the EiL bench.

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Section: Design Of the Driver Modelmentioning

confidence: 99%

Section: Contextmentioning

confidence: 99%

Section: Speed Demand Previewmentioning

confidence: 99%

See 1 more Smart Citation

Design and off-line tuning of a longitudinal driver model for EiL applications

Gilormini

Chessé

Tauzia

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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Hardware-in-the-loop validation of a power management strategy for hybrid powertrains

Kim

Salvi

Siegel

et al. 2014

Control Engineering Practice

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Methods for Virtual Validation of Automotive Powertrain Systems in Terms of Vehicle Drivability—A Systematic Literature Review

2023

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For the last two decades, an extensive transition in automotive X-in-the-loop activities from isolated electronic control units to real-time related, geographically distributed validation tasks has occurred. Benefits are strengthening frontloading, enabling concurrent engineering and reducing prototypes and testing efforts. As a downside, comprehensive system understanding and adequate simulation models must be provided. New technological trends like software-over-the-air-updates denote a continuous validation process even after the start of production. The present review focuses on the virtual validation of vehicle longitudinal dynamics. This exemplary field of application receives more and more attention as electrification of the vehicle powertrain accelerates, and this property directly influences the vehicle DNA. A systematic review process based on the PRISMA workflow has been conducted, focusing on drivabilityrelated powertrain applications. The investigation reveals the following trends: First, increasing complexity of virtualisation methods and models for validation activities influenced by vehicle-to-everything and geographically distributed development. Second, missing standards for virtual validation and proof of representativeness for combined real-virtual testing. In addition, many studies only contemplate the advantages of hardware-in-the-loop-driven development, disregarding crucial limitations and risks for such approaches. In conclusion, there is no longer the question of whether to validate virtually but how to comprehensible realise virtual validation.

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Engine-in-the-Loop Validation of a Frequency Domain Power Distribution Strategy for Series Hybrid Powertrains

Cited by 7 publications

References 38 publications

Design and off-line tuning of a longitudinal driver model for EiL applications

Design and off-line tuning of a longitudinal driver model for EiL applications

Hardware-in-the-loop validation of a power management strategy for hybrid powertrains

Methods for Virtual Validation of Automotive Powertrain Systems in Terms of Vehicle Drivability—A Systematic Literature Review

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