Validation of a Human-and-Hardware-in-the-Loop Control Algorithm Using Real Time Simulation

Stoica, Ionut Alexandru; Băţăuş, Marius; Oprean, Ioan

doi:10.1007/978-3-319-45447-4_55

Cited by 3 publications

(3 citation statements)

References 1 publication

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“…Moreover, a dedicated torsional damper can increase the stability of the control in the higher gears. The tests were done offline using variable step solver and in real time on a 1006 dSpace platform with a fixed step of 0.5 ms (Stoica et al 2016). The results are positive with no overruns and good correlation with the offline simulation (figure 11).…”

Section: Figure 10: Acceleration Control Algorithmsupporting

confidence: 44%

Cost effective teaching and research tools for automotive dynamics

Băţăuş

Stoica

Oprean

2017

Balkan Region Conference on Engineering and Business Education

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The paper examines the problem of developing cost effective teaching and research tools for automotive dynamics. Different available solutions are presented and the need of human feedback is emphasized. Based on the demands from industry and academia (benchmarking, virtual prototyping, comparative testing of alternative technologies, development and tuning of the automotive control etc.) a solution is proposed. At the core of the proposed tool is a H2iL (humanand-hardware-in-the-loop) simulator based on an electric vehicle. An architecture is elaborated for the simulator and the proof of concept is done in three steps.

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Section: Figure 10: Acceleration Control Algorithmsupporting

confidence: 44%

Cost effective teaching and research tools for automotive dynamics

Băţăuş

Stoica

Oprean

2017

Balkan Region Conference on Engineering and Business Education

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“…Because the parts through which the reaction force generated by the force applied on the road through the tyre is propagated have an influence on the vehicle"s dynamic behaviour [9], they have to be modelled as well (Fig. 2):  Flat road model -with the value of the adherence equal to 1;…”

Section: Methodsmentioning

confidence: 99%

Model-based design and testing for electric vehicle driveability analysis

Ciceo

Mollet

Sarrazin

et al. 2016

2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)

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In this paper a model-based design and testing method focusing on the electric vehicle driveability aspect is proposed. The design approach is divided into two steps. The first step is the Model-in-the-Loop co-simulation coupling a vectorcontrolled electric drive modelled in MATLAB/Simulink to a planar forward-facing electric vehicle LMS Imagine.Lab Amesim model. The second step represents a mechanical-level Hardwarein-the-Loop test for a physical electric drive that integrates the electric vehicle model in the real-time testing case. Two different sampling times of the vehicle control unit are considered and their influence on the vehicle responsiveness and on the longitudinal jerk acting on the driver is analysed through both offline simulation and real-time testing.

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“…Investigations have been carried out regarding human exposure to whole-body vibrations while preparing an objective correlation to human perception of vibrations. The targets of these studies were quantifying these vibrations to comfort, vibration perception, and motion sickness For most applications in the context of drivability, a bandpass filter is recommended with a lower cut-off frequency of about 1-2 Hz and an upper one of about 10 Hz [60,69,87,135,154], 20 Hz [118] or 32-40 Hz [34,81,95]. To avoid a phase delay of the longitudinal acceleration signal introduced by conventional analogous filtering, a zero-phase digital filtering is applied frequently [66].…”

Section: Drivability Evaluationmentioning

confidence: 99%

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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Validation of a Human-and-Hardware-in-the-Loop Control Algorithm Using Real Time Simulation

Cited by 3 publications

References 1 publication

Cost effective teaching and research tools for automotive dynamics

Cost effective teaching and research tools for automotive dynamics

Model-based design and testing for electric vehicle driveability analysis

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

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