2021
DOI: 10.1177/09544097211039395
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A feasibility assessment of multi-modelling approaches for rail decarbonisation systems simulation

Abstract: Simulation is an important tool to support rail decarbonisation but can be challenging due to heterogeneous models, simulation tools and skill sets, and concerns around intellectual property. Multi-modelling, a proven methodology in sectors such as aerospace and automotive, uses Functional Mock-up Interface (FMI) and co-simulation to potentially overcome these problems. This paper presents a feasibility study of multi-modelling for rail decarbonisation, using a combination of audit of current state of the art,… Show more

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Cited by 2 publications
(2 citation statements)
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“…He also found the results very promising due to their high accuracy although further validation of the results in a real-life environment and the development of a real-time DT co-simulation are needed in the future. In addition, (Golightly et al 2022) used FMI to design a rail multi-model for rail decarbonisation. They also suggested using the technology to overcome IP issues due to different software tools, models and skills, although there are some limitations such as limited modelling quality, validation of results and lack of comparison between multimodelling and single model.…”
Section: Functional Mock-up Interface (Fmi)mentioning
confidence: 99%
“…He also found the results very promising due to their high accuracy although further validation of the results in a real-life environment and the development of a real-time DT co-simulation are needed in the future. In addition, (Golightly et al 2022) used FMI to design a rail multi-model for rail decarbonisation. They also suggested using the technology to overcome IP issues due to different software tools, models and skills, although there are some limitations such as limited modelling quality, validation of results and lack of comparison between multimodelling and single model.…”
Section: Functional Mock-up Interface (Fmi)mentioning
confidence: 99%
“…In this work proposed layout is studied and optimized using an innovative simulation tool in which it is possible to evaluate different aspects related to mission management (eco-driving), train longitudinal dynamics, sizing and optimization of both traction and energy management systems. Proposed model is aligned to most recent developments for what concern cyber-phisical simulation of this kind of solutions 21,22 including model transportability to different simulation environments. 23 In particular, in this work, authors propose to optimize the design of the system respect to different objectives and constraints to broadly verify the robustness of performed optimization.…”
Section: Introductionmentioning
confidence: 99%