Relaxing Stiff System Integration by Smoothing Techniques for Non-iterative Co-simulation

Benedikt, Martin; Drenth, Edo

doi:10.1007/978-3-030-14883-6_1

Cited by 11 publications

(13 citation statements)

References 12 publications

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“…Various other means to address the issue exist, see Chapter 4, and a selected few are mentioned for context. One such recent development is the energy preserving filter proposed by Benedikt et al [16].…”

Section: Delimitationsmentioning

confidence: 99%

“…Different challenges arising as a result of sampling are identified, and elaborated upon, in the literature, see for example [16,59,60,46]. A brief summary is provided here.…”

Section: Challengesmentioning

confidence: 99%

“…Furthermore, Paper [IV] and Paper [III] contributed to an accepted FMI standard change proposal allowing for access to input and output information at the discretion of each incorporated FMU. As identified by Benedikt et al[16], the use of TLM-type connections requires modeling-side modification, particularly if considering the fine-grained approach compatible with FMI 2.0. This drawback is significantly reduced under the accepted FMI proposal; however, modifications are still necessary, see Chapter 4.…”

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confidence: 99%

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On Standardized Model Integration : Automated Validation in Aircraft System Simulation

Hällqvist

2019

Linköping Studies in Science and Technology. Licentiate Thesis

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Designing modern aircraft is not an easy task. Today, it is not enough to optimize aircraft sub-systems at a sub-system level. Instead, a holistic approach is taken whereby the constituent sub-systems need to be designed for the best joint performance. The State-of-the-Art (SotA) in simulating and exchanging simulation models is moving forward at a fast pace. As such, the feasible use of simulation models has increased and additional benefits can be exploited, such as analysing coupled sub-systems in simulators. Furthermore, if aircraft sub-system simulation models are to be utilized to their fullest extent, opensource tooling and the use of open standards, interoperability between domain specific modeling tools, alongside robust and automated processes for model Verification and Validation (V&V) are required.

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Section: Delimitationsmentioning

confidence: 99%

“…Different challenges arising as a result of sampling are identified, and elaborated upon, in the literature, see for example [16,59,60,46]. A brief summary is provided here.…”

Section: Challengesmentioning

confidence: 99%

mentioning

confidence: 99%

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On Standardized Model Integration : Automated Validation in Aircraft System Simulation

Hällqvist

2019

Linköping Studies in Science and Technology. Licentiate Thesis

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“…[7] Below is a schematic overview of the dockerized co-simulation Model.CONNECT solution in the cloud: One important aspect in the evaluation of critical scenarios is the accuracy of the cosimulation. Data exchange in a co-simulation of models running in general case in different time steps, either fix or variable, requires interpolation and extrapolation of the signals which necessarily brings inaccuracy and energy loss in the system [8]. Different interpolation techniques in a closed loop co-simulation lead to signal delay and oscillations which can be improved by reducing the synchronization time step.…”

Section: Figure 8: Reduction Of the Full Factorial Design Space By Anmentioning

confidence: 99%

Plataforma para desenvolvimento virtual e validação de aplicações em Direção Autônoma e RDE

Balic¹

2019

Blucher Engineering Proceedings

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A number of global drivers, including increasingly stringent safety and emissions standards, and the call for autonomous driving with a connected powertrain, demand that we find new methodologies for vehicle development. In order to reach development targets, both in terms of timeline and product attributes, and to master the complexity of vehicle variants, a common approach includes extensive usage of advanced simulation methods from the early concept phase all the way to the integration and system tests.For efficient frontloading of expensive prototype-based validation and its replacement with simulation/model-based development a number of challenges needs to be addressed.Advanced applications in area of ADAS* and RDE* require collaboration of different teams (powertrain, exhaust aftertreatment, thermal management, control function development, power electronics, vehicle dynamics, sensor integration, traffic environment etc.) in order to balance out often conflicting product attributes such as emission vs. driving pleasure, autonomous driving vs. safety etc. For capturing development scenarios in a virtual world, multi-domain simulation models, consisting of sub-models of different level of detail, different performance (even faster than the real time), from different vendors, in different tools and different environments (virtual and real) are necessary.The development and validation environment must ensure easy, fast and accurate integration and co-simulation of the models, as well as seamless transition from the virtual to the real world, automatized testing and optimization, consistent data handling along the entire process, and still be open for new models and new testing and evaluation techniques.This work presents and discusses real life examples and application scenarios of a consistent model-based development approach for ADAS applications (Platooning, Predictive and Adaptive Cruise Control etc.) and RDE development and validation (in the office and on the engine testbed), which combines advanced modelling and simulation technologies with lab, testbed and on-road tests.

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“…The coupling imperfection resulting from the extrapolation can be handled with particular extrapolation and compensation techniques. For instance, a signal based extrapolation technique to compensate the energy losses caused by the coupling is discussed in Benedikt and Drenth (2019). In Haid et al (2018) a model-based predictor corrector approach is introduced and a model-based pre-step stabilization technique is shown in Genser and Benedikt (2018).…”

Section: Introductionmentioning

confidence: 99%

Parallel Fast: An Efficient Coupling Approach for Co-Simulation with Different Coupling Step Sizes

Holzinger¹,

Schuch²,

Benedikt³

et al. 2021

Linköping Electronic Conference Proceedings

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The primary task of co-simulation is the synchronization and exchange of data between the subsystems, e.g., FMUs, at certain coupling points. If the FMUs have different step sizes, the synchronization of the FMUs is often at the expense of the simulation duration of the cosimulation. The presented parallel fast scheduling algorithm is an effective approach to couple FMUs with different coupling step sizes. Therefore, synchronization intervals are introduced in which FMUs that finish their coupling step are synchronized. This allows a high performance of the coupling in terms of simulation duration. The higher performance compared to other scheduling algorithms is particularly evident in real-time applications, i.e., HiL simulations. However, the synchronization intervals are defined via a synchronization step size, which can be set independently to the coupling step sizes of the FMUs. This additional step size has a significant impact on the simulation accuracy. An extrapolation measure is introduced, which approximates the impact of the synchronization step size on the extrapolation error and thus on the simulation accuracy. Based on this, an optimization approach is presented, which derives the optimal synchronization step size to minimize the extrapolation measure.

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Relaxing Stiff System Integration by Smoothing Techniques for Non-iterative Co-simulation

Cited by 11 publications

References 12 publications

On Standardized Model Integration : Automated Validation in Aircraft System Simulation

On Standardized Model Integration : Automated Validation in Aircraft System Simulation

Plataforma para desenvolvimento virtual e validação de aplicações em Direção Autônoma e RDE

Parallel Fast: An Efficient Coupling Approach for Co-Simulation with Different Coupling Step Sizes

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