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1

Roberts, Neil, Mike Dempsey und Alessandro Picarelli. „Detailed Powertrain Dynamics Modelling in Dymola - Modelica“. IFAC Proceedings Volumes 46, Nr. 21 (2013): 434–39. http://dx.doi.org/10.3182/20130904-4-jp-2042.00111.

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2

Li, Zhi Hua, Hong Guang Yang, Jun Yu und You Ping Gong. „Modeling and Simulation of the PMSM-Precision Reducer System with Modelica“. Applied Mechanics and Materials 201-202 (Oktober 2012): 202–7. http://dx.doi.org/10.4028/www.scientific.net/amm.201-202.202.

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There is still lack of effective modeling and simulation method for complex electromechanical coupling system. Modelica is a multi-domain unified modeling language to solve the modeling and simulation problems of the complex and heterogeneous physical systems. Dymola is a Modelica-based modeling and simulation platform for the complex physical systems. In this paper, the dynamics model of the permanent magnet synchronous motor (PMSM)-precision reducer system is established using Lagrange-Maxwell equation. The simulation model of this system is set up with Modelica language. The simulation of the system is realized in Dymola. Results show that the system can respond to good static and dynamic characteristics under a given speed for different loads. The dynamics model of the PMSM-precision reducer system can be further used in system control and optimization. The proposed modeling and simulation method based on Modelica may be commonly applied to other complex electromechanical systems.
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3

Ferretti, Gianni, Gianantonio Magnani, Paolo Rocco und Luca Viganò. „Modelling and simulation of a gripper with Dymola“. Mathematical and Computer Modelling of Dynamical Systems 12, Nr. 1 (Februar 2006): 89–102. http://dx.doi.org/10.1080/13873950500071405.

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4

Rodríguez, F., L. J. Yebra, M. Berenguel und S. Dormido. „MODELLING AND SIMULATION OF GREENHOUSE CLIMATE USING DYMOLA“. IFAC Proceedings Volumes 35, Nr. 1 (2002): 79–84. http://dx.doi.org/10.3182/20020721-6-es-1901.01322.

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5

M. Trajković, Dragana, und Branislav Dimitrijević. „BOND GRAPH MODEL OF THE SUBMERSIBLE PUMP“. Knowledge International Journal 28, Nr. 4 (10.12.2018): 1335–39. http://dx.doi.org/10.35120/kij28041335d.

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This paper presents application of the bond graph in modelling of the submersible pump. It is shown on this practical example that the use of Dymola software package will simplify the modelling and simulation. The bond graph modelling of the UPP pump is presented in this paper.
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6

Qiong-Zhong Chen, Yu-Feng Mo und Guang Meng. „Dymola-based modeling of SRD in aircraft electrical system“. IEEE Transactions on Aerospace and Electronic Systems 42, Nr. 1 (Januar 2006): 220–27. http://dx.doi.org/10.1109/taes.2006.1603417.

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7

Bhatkar, V. W. „DYNAMIC SIMULATION OF REFRIGERATION SYSTEM USING DYMOLA BEHAVIOR MODELING“. JP Journal of Heat and Mass Transfer 25 (01.01.2022): 99–107. http://dx.doi.org/10.17654/0973576322006.

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8

Dahl, Johan, und Daniel Andersson. „Engine air path management and exhaust condition modeling in Dymola“. International Journal of Engine Research 15, Nr. 8 (09.10.2014): 993–1008. http://dx.doi.org/10.1177/1468087414551908.

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9

Mehlhase, A. „A Python Package for Simulating Variable-Structure Models with Dymola“. IFAC Proceedings Volumes 45, Nr. 2 (2012): 1081–86. http://dx.doi.org/10.3182/20120215-3-at-3016.00191.

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10

Magallán, Guillermo A., Luis I. Silva, Cristian H. De Angelo und Guillermo O. García. „Rapid prototyping of electric vehicle controllers combining Dymola and Simulink“. International Journal of Electric and Hybrid Vehicles 4, Nr. 2 (2012): 197. http://dx.doi.org/10.1504/ijehv.2012.048357.

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11

Huang, Xi Chang, Zhi Jian Zong und Zhong Tu Liu. „Robust Nonlinear Control of Electric Power Steering System Based on Lyapunov Redesign“. Advanced Materials Research 588-589 (November 2012): 1619–23. http://dx.doi.org/10.4028/www.scientific.net/amr.588-589.1619.

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Based on the dynamic characteristics of EPS, whole vehicle and tire, the dynamic equation of the EPS system was established. The Krasovk’s method was used to obtian the candidate Lyapunov function for the EPS system. A nonlinear control for EPS system considering parameter uncertainty was presented by Lyapunov redesign approach. The results were obtained from simulation based on Dymola, where is shown that Control law of EPS have the robust performance.
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Huang, Xi Chang. „Driver Modeling and Simulation Based on Improved Preview Follower Algorithm“. Applied Mechanics and Materials 321-324 (Juni 2013): 847–51. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.847.

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Described a driver modelbased on the improved preview follower algorithms.Proposed a new preview-point search algorithm to ensure that the preview point fall on theexpected track and avail on the large curvature road. Considered theimpact of the steady state response to improve the dynamics performance ofdriver model. Modeled and stimulated the driver-vehicle-road closed-loop modelby Dymola. The results indicate thatthe improved driver model perform a high level ofaccuracy on the target track following.
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13

Cheng, Caizhen, Andrew McGordon, R. Peter Jones und Paul A. Jennings. „Comprehensive Forward Dynamic HEV Powertrain Modelling Using Dymola and MATLAB/Simulink“. IFAC Proceedings Volumes 43, Nr. 7 (Juli 2010): 536–41. http://dx.doi.org/10.3182/20100712-3-de-2013.00026.

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14

Zhang, Qiangqiang, Xin Li, Zhifeng Wang, Jinbai Zhang, Baligh El-Hefni und Li Xu. „Modeling and simulation of a molten salt cavity receiver with Dymola“. Energy 93 (Dezember 2015): 1373–84. http://dx.doi.org/10.1016/j.energy.2015.10.010.

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15

Otter, M., H. Elmqvist und F. E. Cellier. „Modeling of multibody systems with the object-oriented modeling language Dymola“. Nonlinear Dynamics 9, Nr. 1-2 (Februar 1996): 91–112. http://dx.doi.org/10.1007/bf01833295.

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16

Bastin, Matthew Andrew, und R. Peter Jones. „Development of a Multibody Systems Model for Investigation of the Effects of Hybrid Electric Vehicle Powertrains on Vehicle Dynamics.“ International Journal of Online Engineering (iJOE) 11, Nr. 6 (05.11.2015): 33. http://dx.doi.org/10.3991/ijoe.v11i6.5033.

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With ever increasing numbers of Hybrid Electric Vehicles (HEV’s) being developed, come new challenges in the field of automotive engineering. Whilst there has been considerable work conducted on HEV’s from a powertrain, efficiency, and control systems perspective, very little work has been instigated in the field of how the introduction of such hybrid systems effect passive vehicle dynamics. One of the possible obstacles in the way of such studies is the multitude of powertrain architectures that are present or possible in HEV’s. This obstacle can make investigations very application specific, and leads to inefficiencies in the modelling process. This paper discusses the development of a model constructed in Dymola in order to investigate the effects of hybrid powertrains on ride and handling. The modelling methodology is presented, along with model based testing and validation of component and the full vehicle models. Whilst the development of the model is introduced for a specific study, it is shown that the way in which the model has been developed lends itself easily to use in other fields. It is shown that the modular construction of the model, and the physical, object orientated modelling approach facilitated by Dymola, allow varying numbers and complexities of component models to be utilised within the same basic model. Such an approach means that one base model can be utilised for differing hybrid architectures for ride, handling and drivability studies thus reducing modelling time and complexity.
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Chen, Gao Xiang, und Jiang Fan. „Design and Realization of Total Performance Simulation Platform for Aircraft Engine Based on Modelica“. Applied Mechanics and Materials 404 (September 2013): 324–30. http://dx.doi.org/10.4028/www.scientific.net/amm.404.324.

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The primary characteristics of Modelica language is described, The steady and dynamic mathematic model of aircraft engine are introduced. The methods of the main components in the aircraft engine generic model library developed by Modelica/Dymola software are expounded. The system level model of a two-spool turbofan engine is built and its steady and off design state is simulated. The results accord with the actual situations, so that the library can help in constituting the simulation system of variety engine with great importance and practical value in conceptual and preliminary design.
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18

Gadaleta, Michele, Andrea Genovesi und Federico Balugani. „Determining the Energy-Optimal Base Position of Industrial Robots by Means of the Modelica Multi-Physics Language“. Applied Mechanics and Materials 680 (Oktober 2014): 320–25. http://dx.doi.org/10.4028/www.scientific.net/amm.680.320.

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A novel technique for determining the energy-optimal base position of common Industrial Robot (IR) is presented. At first, an energy-focused IR model is developed by means of the Modelica/Dymola simulation environment. Then, for a given IR task, a standard but efficient optimization technique is employed, which allows to determine the robot base position corresponding to the minimum energy consumption. A set of graphical maps is finally provided, which allows a rapid estimation of the energy demand along with the time required for the task completion.
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Hu, Wei, Xin Wei und Xiao Zhu Xie. „Modeling and Simulation of Micro Hydraulic Transducer Based on Component Library“. Advanced Materials Research 505 (April 2012): 106–11. http://dx.doi.org/10.4028/www.scientific.net/amr.505.106.

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For MHT is an integrated system for different domains, namely fluids, structures, piezoelectrics and circuitry, a component library consisting of inlets, outlets, chambers and piezoelectric blocks is developed with Modelica. The governing equations of inlet and outlet channels, chamber and piezoelectric block are proposed and parameter models are created based on object-oriented method with Modelica. Then the model of MHT is established by connecting different components’ pins of equivalent type. Simulation results on Dymola show accordance with that on Simulink, which indicates that this method can achieve high efficiency and precision.
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20

Bortolin, Gianantonio, Stefan Borg und Per Olof Gutman. „Modeling of the wet end part of a paper mill with Dymola“. Mathematics and Computers in Simulation 65, Nr. 1-2 (April 2004): 31–38. http://dx.doi.org/10.1016/j.matcom.2003.09.005.

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21

Malinowsky, Boris, Oliver Höftberger und Florian Miksch. „A Physical Modelling Approach to ARGESIM Benchmark C11 ‘SCARA Robot’ using Dymola“. SNE Simulation Notes Europe 21, Nr. 1 (April 2011): 53–54. http://dx.doi.org/10.11128/sne.21.bn11.10050.

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22

Boarin, Sara, Antonio Cammi, Roberto Ponciroli, Davide Chiesa, Ezio Previtali, Monica Sisti, Giovanni Magrotti, Michele Prata und Andrea Salvini. „Object-Oriented Modeling and simulation of a TRIGA reactor plant with Dymola“. Energy Procedia 101 (November 2016): 42–49. http://dx.doi.org/10.1016/j.egypro.2016.11.006.

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23

Cvok, Ivan, Igor Ratković und Joško Deur. „Optimisation of Control Input Allocation Maps for Electric Vehicle Heat Pump-based Cabin Heating Systems“. Energies 13, Nr. 19 (02.10.2020): 5131. http://dx.doi.org/10.3390/en13195131.

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The heating, ventilation and air conditioning (HVAC) system negatively affects the electric vehicle (EV) driving range, especially under cold ambient conditions. Modern HVAC systems based on the vapour-compression cycle can be rearranged to operate in the heat pump mode to improve the overall system efficiency compared to conventional electrical/resistive heaters. Since such an HVAC system is typically equipped with multiple actuators (compressor, pumps, fans, valves), with the majority of them being controlled in open loop, an optimisation-based control input allocation is necessary to achieve the highest efficiency. This paper presents a genetic algorithm optimisation-based HVAC control input allocation method, which utilises a multi-physical HVAC system model implemented in Dymola/Modelica. The considered control inputs include the cabin inlet air temperature reference, blower and radiator fan air mass flows and secondary coolant loop pumps’ speeds. The optimal allocation is subject to specified, target cabin air temperatures and heating power. Additional constraints include actuator hardware limits and safety functions, such as maintaining the superheat temperature at its reference level. The optimisation objective is to maximise the system efficiency defined by the coefficient of performance (COP). The optimised allocation maps are fitted by proper mathematical functions to facilitate the control strategy implementation and calibration. The overall control strategy consists of superimposed cabin air temperature controller that commands heating power, control input allocation functions, and low-level controllers that ensure cabin inlet air and superheat temperature regulation. The control system performance is verified through Dymola simulations for the heat pump mode in a heat-up scenario. Control input allocation map optimisation results are presented for air-conditioning (A/C) mode, as well.
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24

Haklidir, Mehmet, und Isa Tasdelen. „Modeling, simulation and fuzzy control of an anthropomorphic robot arm by using Dymola“. Journal of Intelligent Manufacturing 20, Nr. 2 (04.01.2009): 177–86. http://dx.doi.org/10.1007/s10845-008-0227-9.

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25

Gong, You Ping, Xiang Juan Bian und Guo Jin Chen. „Excavator Operator Mechanism and Hydraulic Integration Model Construction and Simulation Based on Modelica“. Applied Mechanics and Materials 130-134 (Oktober 2011): 666–71. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.666.

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This paper explains and demonstrates how to construct integration simulation model of exavtor operator based on modelica language. The paper firstly introduce the history of modelic language and application in production design; secondly the paper construct exavtor operator dynamics model by D-H method and construct operator’s modelica model by dymola soft; then the paper analyse the hydraulic system of operator, and construct hydraulic simulation model which integrate to operator mechanism system; at last the paper gives simulation results of vauious operating mode. Because of consideration in coordination of mechanism and hydraulic of operator,the simulation results approach actual working process,and improve the exavtor’s design efficiency and reliability.
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26

Kaunang, Gemma Ferdinand, und Günther Zauner. „Four Modelling Approaches for ARGESIM Benchmark C3 ‘Generalized Class-E Amplifier’ implemented in Dymola“. SNE Simulation Notes Europe 19, Nr. 1 (April 2009): 43–46. http://dx.doi.org/10.11128/sne.19.bn03.09929.

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27

Zhang, J. B., J. C. Valle-Marcos, B. El-Hefni, Z. F. Wang, G. F. Chen, G. C. Ma, X. Li und R. Soler. „Dynamic Simulation of a 1MWe Concentrated Solar Power Tower Plant System with Dymola®“. Energy Procedia 49 (2014): 1592–602. http://dx.doi.org/10.1016/j.egypro.2014.03.168.

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28

Bolognese, Michele, Luigi Crema, Prattico Luca, Diego Viesi und Ruben Bartali. „Solar Thermal Technologies for Low-Carbon Industrial Processes: Dynamic Modelling, Techno-Economic Analysis and Environmental Impact“. Proceedings 58, Nr. 1 (11.09.2020): 14. http://dx.doi.org/10.3390/wef-06911.

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Solar thermal technologies are already available on the market, and they are robust and relatively cheap. Unfortunately, solar heat is seldom used in the industrial processes, and the main obstacle of solar heat diffusion is often the lack of adequate predictive modelling of solar plant integration that identifies its energy potential, economic feasibility, and environmental benefits. In this paper, we aim to investigate and evaluate the possibility of supplying solar heat to the pasta-drying process located in the northeast of the Italian Alps (“Felicetti”). The methodology proposed is structured with the combination of several software, namely, PVGIS®, Matlab®, Dymola®. The methodology developed is tested, considering solar thermal energy as the primary source, in different geographical contexts.
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SZLACHETKA, Marcin, Mirosław WENDEKER, Jacek CZARNIGOWSKI, Piotr JAKLIŃSKI und Łukasz GRABOWSKI. „A simulation research of a hydrogen injection system for a Wankel engine“. Combustion Engines 141, Nr. 2 (01.05.2010): 114–22. http://dx.doi.org/10.19206/ce-117153.

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The paper presents the results of simulations of a gaseous fuel supply system in a Wankel engine. The testing was conducted on a zero-dimensional model of the designed injection system that was fuelled by gaseous hydrogen into the intake manifold in the RX 50 Wankel engine. The Dymola software and its Pneumatics Module were used in the simulation. The experiments determined what phenomena would occur inside the injection system and helped develop a tool to optimize its design. The analysis dealt with the changes in the pressure and mass flow rate in the individual components of such a supply system. The research was done in steady states for one value of speed and load as the inlet system pressure.
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Palomba, Valeria, und Andrea Frazzica. „A Fast-Reduced Model for an Innovative Latent Thermal Energy Storage for Direct Integration in Heat Pumps“. Applied Sciences 11, Nr. 19 (26.09.2021): 8972. http://dx.doi.org/10.3390/app11198972.

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In the present paper, the numerical modeling of an innovative latent thermal energy storage unit, suitable for direct integration into the condenser or evaporator of a heat pump is presented. The Modelica language, in the Dymola environment, and TIL libraries were used for the development of a modular model, which is easily re-usable and adaptable to different configurations. Validation of the model was carried out using experimental data under different operating modes and it was subsequently used for the optimization of a design for charging and discharge. In particular, since the storage unit is made up of parallel channels for the heat transfer fluid, refrigerant, and phase change material, their number and distribution were changed to evaluate the effect on heat transfer performance.
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31

Chen, X. P., Y. D. Wang, J. T. Li und A. P. Roskilly. „Hybrid Electrical Storage and Power System for Household Tri-Generation Application“. Advanced Materials Research 614-615 (Dezember 2012): 829–36. http://dx.doi.org/10.4028/www.scientific.net/amr.614-615.829.

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As a crucial constituent in tri-generation application, electric energy storage and power system plays an important role regarding efficient utilization of electrical energy in tri-generation. This paper presents the results showing that the optimization of electrical energy storage is able to promote the performance of tri-generation. Initial investigation, including laboratory tests and computational simulation using Dymola software, have been carried out. A case study exemplifies how diverse hybrid systems accommodate domestic power demands. The outcomes validate that the hybrid electric system consisting of generator, batteries and super capacitor can satisfy the electricity requirements for the household. it is also found that the hybrid system can supply the peak electricity demands where the integration of super capacitor can alleviate the overcharge of batteries in this application.
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32

Gómez, F. J., L. J. Yebra, A. Giménez und J. L. Torres-Moreno. „Modelado de baterías para aplicación en vehículos urbanos eléctricos ligeros“. Revista Iberoamericana de Automática e Informática industrial 16, Nr. 4 (20.09.2019): 459. http://dx.doi.org/10.4995/riai.2019.10609.

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<p>En este artículo se propone un modelo dinámico de batería que permite simular el comportamiento de distintos tipos de baterías para su aplicación en vehículos eléctricos urbanos ligeros. El modelo es fácilmente parametrizable a partir de las curvas de descarga experimentales del equipo real y se ajusta adecuadamente al comportamiento particular de la curva de carga/descarga de las baterías de Litio-Ferrofosfato (LiFePo4). Se han utilizado los datos obtenidos sobre una instalación experimental para la calibración del modelo propuesto y se presentan resultados de la validación del mismo. El modelo se ha implementado en el lenguaje de modelado orientado a objetos Modelica reutilizando clases de su librería estándar Modelica Standard Library. La calibración y validación se ha realizado con la herramienta de modelado Dymola.</p>
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Ouyang, Jie, Bin Li und Shihua Gong. „Dymola-based multi-parameters integrated optimization for high speed transfer system of LED chip sorter“. Frontiers of Mechanical Engineering 8, Nr. 2 (Juni 2013): 118–26. http://dx.doi.org/10.1007/s11465-013-0253-y.

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34

Wang, Hong Jun, Jia Xin Chen, Xiang Jun Zou und Chang Yu Liu. „Structure Design and Multi-Domain Modeling for a Picking Banana Manipulator“. Advanced Materials Research 97-101 (März 2010): 3560–64. http://dx.doi.org/10.4028/www.scientific.net/amr.97-101.3560.

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Based on agronomic and harvest characteristic analysis for bananas, according to bionic principle, a mechanism of picking banana manipulator simulating action of a person manually picking bananas was proposed, which was consisted of rotary mechanism, lifting mechanism, and shift mechanism, the body mechanical model of the picking banana manipulator was established. The multi-domain uniform model of a picking banana manipulator was developed employing the virtual simulation and modeling language Modelica. A body structure model for picking banana manipulator was established based on component models in DriveLib model library. Motion control’s mathematic models for picking banana manipulator were analyzed according to drive motor performance for the body structure, the simulation model of a mechanical motion control for the picking banana manipulator were realized in Dymola simulation platform. The validity models could provide a theoretical basis for picking banana manipulator primary design.
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Shet, Veeraj V., Babu R. Ponangi und Kiran Jacob. „Design of a thermal management system for a battery pack in an electric vehicle using Dymola“. Heat Transfer 49, Nr. 5 (06.04.2020): 2686–705. http://dx.doi.org/10.1002/htj.21740.

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36

Othman, M. F., R. Kurniawan, D. Schramm und A. K. Ariffin. „A cable-driven parallel robots application: modelling and simulation of a dynamic cable model in Dymola“. IOP Conference Series: Materials Science and Engineering 352 (Mai 2018): 012005. http://dx.doi.org/10.1088/1757-899x/352/1/012005.

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37

Chen, Jia Xin, Hong Jun Wang, Chang Yu Liu und Xiang Jun Zou. „Modeling and Performance Analyzing of Helix Transmission Base on Modelica“. Key Engineering Materials 455 (Dezember 2010): 511–15. http://dx.doi.org/10.4028/www.scientific.net/kem.455.511.

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Picking manipulator ontology structure used rotation and translational motion pairs to join the components together, and then a multi-joint motion mechanism was built which meet the picking space requirement. According to the characters of growth space of litchi fruit, here used helix transmission as the first axes of the picking manipulator, to achieve motion in vertical direction. This study introduces the application of multi-domain modeling and simulation when constructing and simulating a helix transmission. Use object-oriented technology, multi-domain modeling and simulation language Modelica to construct the motion system which integrates motor model, signal detection module, signal processing module and parametric screw transmission model in Dymola simulation platform. Test the helix transmission by simulation, using the mechanical structure, sensor technology, signal processing technology. Simulation results show that, the modelica can provide a valid simulation for complex electromechanical system and support for parametric design.
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Palomba, Valeria, Efstratios Varvagiannis, Sotirios Karellas und Andrea Frazzica. „Hybrid Adsorption-Compression Systems for Air Conditioning in Efficient Buildings: Design through Validated Dynamic Models“. Energies 12, Nr. 6 (25.03.2019): 1161. http://dx.doi.org/10.3390/en12061161.

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Hybrid sorption-compression systems are gaining interest for heating/cooling/ refrigeration purposes in different applications, since they allow exploiting the benefits of both technologies and a better utilization of renewable sources. However, design of such components is still difficult, due to the intrinsic complexity of the systems and the lack of reliable models. In particular, the combination of adsorption-compression cascade unit has not been widely explored yet and there are no simulations or sizing tools reported in the literature. In this context, the present paper describes a model of a hybrid adsorption-compression system, realised in Modelica language using the commercial software Dymola. The models of the main components of the sorption and vapour compression unit are described in details and their validation presented. In addition, the integrated model is used for proving the feasibility of the system under dynamic realistic conditions and an example of the technical sizing that the model is able to accomplish is given.
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Heinke, Stefanie, Carina Pereira, Steffen Leonhardt und Marian Walter. „Modeling a healthy and a person with heart failure conditions using the object-oriented modeling environment Dymola“. Medical & Biological Engineering & Computing 53, Nr. 10 (18.09.2015): 1049–68. http://dx.doi.org/10.1007/s11517-015-1384-6.

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40

Ebner, Arno, Fiorentino Valerio Conte und Franz Pirker. „Rapid Validation of Battery Management System with a Dymola Hardware-in-the-Loop Simulation Energy Storage Test Bench“. World Electric Vehicle Journal 1, Nr. 1 (28.12.2007): 205–7. http://dx.doi.org/10.3390/wevj1010205.

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41

Proß, Sabrina, und Bernhard Bachmann. „An Advanced Environment for Hybrid Modeling of Biological Systems Based on Modelica“. Journal of Integrative Bioinformatics 8, Nr. 1 (01.03.2011): 1–34. http://dx.doi.org/10.1515/jib-2011-152.

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Summary Biological systems are often very complex so that an appropriate formalism is needed for modeling their behavior. Hybrid Petri Nets, consisting of time-discrete Petri Net elements as well as continuous ones, have proven to be ideal for this task. Therefore, a new Petri Net library was implemented based on the object-oriented modeling language Modelica which allows the modeling of discrete, stochastic and continuous Petri Net elements by differential, algebraic and discrete equations. An appropriate Modelica-tool performs the hybrid simulation with discrete events and the solution of continuous differential equations. A special sub-library contains so-called wrappers for specific reactions to simplify the modeling process.The Modelica-models can be connected to Simulink-models for parameter optimization, sensitivity analysis and stochastic simulation in Matlab.The present paper illustrates the implementation of the Petri Net component models, their usage within the modeling process and the coupling between the Modelica-tool Dymola and Matlab/Simulink. The application is demonstrated by modeling the metabolism of Chinese Hamster Ovary Cells.
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42

Schettini, F., E. Denti und G. Di Rito. „Development of a simulation platform of all-electric aircraft on-board systems for energy management studies“. Aeronautical Journal 121, Nr. 1239 (30.03.2017): 710–19. http://dx.doi.org/10.1017/aer.2017.16.

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ABSTRACTThis paper deals with the development of a simulation platform for the dynamic analysis of systems characterised by different physical domains. The research has been carried out in the context of the EC-funded Clean Sky Joint Technology Initiative (Green Regional Aircraft/All-Electric Aircraft domain). In particular, the objective of the research is focused on the on-board systems of new All-Electric Aircraft, where a crucial design point is related to the electrical energy management. In the “all-electric” concept, where pneumatic and hydraulic power systems are eliminated to improve aviation costs and environmental impact, the dynamics of electrical power absorptions is to be characterised and managed to avoid excessive peaks with respect to generators capabilities. The paper describes the architecture of a Matlab/Simulink simulation platform developed in order to design and validate of the electrical energy management logics, which lead up to 32% reduction of the maximum power request for the case study considered. Thanks to an approach based on a mixing of co-simulation and S-function compiling, the platform integrates models coming from different environments (AMESim, Dymola/Modelica), and developed by various partners/specialists.
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43

Nabhar, Khalid A., und Basim T. Kadhem. „DAMPING SUB SYNCHRONOUS RESONANCE IN POWER SYSTEM USING TCSC & SVC“. Al-Qadisiyah Journal for Engineering Sciences 11, Nr. 2 (29.01.2019): 203–16. http://dx.doi.org/10.30772/qjes.v11i2.553.

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when the steam turbine-generator is connected with series of compensation along the transmission line, the sub synchronous resonance may happen. The Flexible Ac Transmission System (FACTS) controller of the devices wide use which has been used to reduce and suppress the phenomenon of sub-synchronous resonance the Thyristor Control Series Compensation (TCSC) and Static VAR Compensation (SVC) are the types of FACTS controller that has been used to put down the SSR and also for the purpose of provide a better and efficient solution to improve the transferred capacity system to connect the series compensation along the transmission line. Series capacitor work to increase the chance of creating sub synchronous resonance. Series capacitors also have an inclination to amplify the shaft stress during considerable network transien toccurrence, SSR phenomena happen which can cause damage of the shaft generator turbine. The first standard model of IEEE was adopted to study this phenomenon. This research deals the PID control of SVC( Static VAR Compensation) and TCSC (Thyristor Controlled Series Compensator) and excitation system controller for reducing SSR in power system. In this research, the method of Eigenvalue was used to analysis the sub-synchronous resonance phenomenon and the result was verified using DYMOLA simulation
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44

Landuyt, L., S. Lauwerys, S. De Turck, M. Steeman und N. Van Den Bossche. „Optimization of insulation levels from an environmental perspective: impact of HVAC controls and Personal Comfort Systems“. Journal of Physics: Conference Series 2069, Nr. 1 (01.11.2021): 012076. http://dx.doi.org/10.1088/1742-6596/2069/1/012076.

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Abstract Today, strict insulation requirements apply. Nevertheless, the inverse correlation of thermal conductivity with insulation thickness leads to decreasing energy savings with increasing insulation packages. Therefore, a balance between potential energy savings and environmental impact due to additional materials using Life Cycle Assessment (LCA) needs to be strived for. This balance is sought for a case study called ‘The Mobble’ i.e. a flexible, modular, and circular building system developed by a student team from Ghent University. Through an iterative design process supported by LCA, comfort and dynamic energy simulations efforts are made to design an energy-efficient and low impact module with an agreeable indoor environment. First, material choices are made based on LCA and the material impact of a 5-module home is calculated. Second, energy calculations are executed in Modelica/Dymola. For this, three possible energy reductions are explored: insulating the building, altering the working regime of the HVAC system and lowering the setpoint temperature while maintaining comfort by using personal comfort systems (PCS). The results support PCS as a possible energy conservation measure and indicate that reducing operational energy does not shift the environmental burden to the additional materials’ production. However, these environmental saving effects decrease as the operational share decreases.
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45

Simic, Katarina, Klaas Thiers, Hugo Montyne, Jan Desmet und Michel De Paepe. „Numerical assessment of self-sufficiency of residential buildings in Belgium by using heat pumps, photovoltaic panels and energy storages“. Journal of Physics: Conference Series 2069, Nr. 1 (01.11.2021): 012115. http://dx.doi.org/10.1088/1742-6596/2069/1/012115.

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Abstract Residential buildings claim a significant share of the total energy use worldwide. In order to have more realistic energy performance predictions, increased attention is paid to the analysis of the building’s energy use through comprehensive, transient detailed numerical simulations. In this article, the self-consumption and self-sufficiency values of three detached residential buildings are assessed through numerical models made in the programming language Modelica and software tool Dymola. The three buildings have the same structure and different space heating energy demands of 15 kWh/m2year, 30 kWh/m2year and 45 kWh/m2year. The energy use of the buildings coincides with the occupancy profile where domestic hot water use dominates over the space heating demand provided by an air to water heat pump. The discrepancy between renewable energy production and energy consumption is mitigated by means of thermal load shifting and electrical energy storage. In this research, the self-consumption and self-sufficiency of the studied buildings have been analysed as a function of the economically favourable energy storage sizing. For the use of an electrical battery with the installed capacity of 2.5 kWh and thermal energy storage of 250 l, the self-sufficiency results to be 40%, 38.5% and 37% for the three buildings respectively at the specific simulated energy demand conditions.
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46

Leang, Enghok, Pierre Tittelein, Laurent Zalewski und Stéphane Lassue. „Numerical and Experimental Investigations of Composite Solar Walls Integrating Sensible or Latent Heat Thermal Storage“. Applied Sciences 10, Nr. 5 (08.03.2020): 1854. http://dx.doi.org/10.3390/app10051854.

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This article studies a composite solar wall with latent storage (TES) designed to heat rooms inside buildings during the cold season. No numerical model of the composite solar wall is currently available in the Dymola/Modelica software library. The first objective of this work is to develop one such model. The article describes the elementary components, along with the equations that allow modeling the heat transfers and storage phenomena governing both the thermal behavior and performance of the solar wall. This model was built by assembling various existing basic elements from the software’s “Building” library (e.g., models of heat transfer by convection, radiation and conduction) and then creating new elements, such as the storage element incorporating the phase change material (PCM). To validate this solar wall model, numerical results are compared to experimental data stemming from a small-scale composite solar wall manufactured in our laboratory, and the experimental set-up could be tested under real weather conditions. After verifying the level of confidence in the model, the energy performance of two solar walls, one with a conventional storage wall (sensible heat storage) the other containing a PCM (the same as in the experiment), are compared. The result indicates that the solar wall incorporating a PCM does not in this case release any more energy in the room to be heated.
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47

Hamza, Ghazoi, Moncef Hammadi, Maher Barkallah, Jean-Yves Choley, Alain Riviere, Jamel Louati und Mohamed Haddar. „Conceptual design decision support of a mechatronic system using analytical approach with Modelica“. Mechanics & Industry 19, Nr. 1 (2018): 103. http://dx.doi.org/10.1051/meca/2018019.

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During conceptual design phase, system architects pre-validate architectures following different constrains. This paper proposes a new pre-designing method applied to a flexible multibody system to characterize its vibrational behavior analytically with Dymola/Modelica language. We study the vibration interaction between perturbations sources (motors) and receivers (electronic cards) through a flexible beam with arbitrary boundary conditions. In fact, a lot of mechatronic systems may have their natural frequencies and mode shapes dependent on their spatial configuration, which affect the dynamic response of the system. This methodology shows that using Modelica, we can implement different boundary conditions, making the element suitable for any multibody simulation. This model can help system architects to study the influence of the boundary conditions on the system response. Two types of boundary conditions are considered in this study, simply supported–simply supported (S-S) and clamped–clamped (C-C). The solution for this issue would be a pre-positioning procedure which targets to provide a support for decision-making on the feasibility of a given system architecture at an early design stage, before proceeding to the detailed design. The simulation results have been validated with respect to the literature and by a comparison with those obtained by the model based on the Beam component which belongs to the Modelica flexible Bodies Library.
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48

Cvok, Ivan, Igor Ratković und Joško Deur. „Multi-Objective Optimisation-Based Design of an Electric Vehicle Cabin Heating Control System for Improved Thermal Comfort and Driving Range“. Energies 14, Nr. 4 (23.02.2021): 1203. http://dx.doi.org/10.3390/en14041203.

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Modern electric vehicle heating, ventilation, and air-conditioning (HVAC) systems operate in more efficient heat pump mode, thus, improving the driving range under cold ambient conditions. Coupling those HVAC systems with novel heating technologies such as infrared heating panels (IRP) results in a complex system with multiple actuators, which needs to be optimally coordinated to maximise the efficiency and comfort. The paper presents a multi-objective genetic algorithm-based control input allocation method, which relies on a multi-physical HVAC model and a CFD-evaluated cabin airflow distribution model implemented in Dymola. The considered control inputs include the cabin inlet air temperature, blower and radiator fan air mass flows, secondary coolant loop pump speeds, and IRP control settings. The optimisation objective is to minimise total electric power consumption and thermal comfort described by predictive mean vote (PMV) index. Optimisation results indicate that HVAC and IRP controls are effectively decoupled, and that a significant reduction of power consumption (typically from 20% to 30%) can be achieved using IRPs while maintaining the same level of thermal comfort. The previously proposed hierarchical HVAC control strategy is parameterised and extended with a PMV-based controller acting via IRP control inputs. The performance is verified through simulations in a heat-up scenario, and the power consumption reduction potential is analysed for different cabin air temperature setpoints.
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49

Li, Haoran, und Natasa Nord. „Operation strategies to achieve low supply and return temperature in district heating system“. E3S Web of Conferences 111 (2019): 05022. http://dx.doi.org/10.1051/e3sconf/201911105022.

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Low temperature is the most significant feature of the future district heating (DH) - the 4th generation district heating (4GDH). The revolutionary temperature level (50–55/25°C) will improve the efficiency of heat sources, thermal storages, and distribution systems, meanwhile, bring huge potentials to renewable energies. One challenge of transition to the future DH is the compatibility of current customer installations and the future temperature level. The aim of this study was to find the temperature potential of Norwegian residential buildings for the future DH system. A reference apartment was created, and typical space heating (SH) system was designed. A detailed building and SH system model were built in Modelica® language, and simulation was conducted via Dymola environment. Different operation strategies: PI control of the supply temperature, weather compensated control of the supply temperature, and PI control of the return temperature were tested. The results of the study showed the average supply temperature could be as low as 56~58°C, and only limited time the temperature was above 60 °C, when the controlled supply temperature strategies were applied. For the case with controlled return temperature strategies, the average return temperature were 30 and 37°C, while the average required supply temperature could be 72 and 94°C. The conclusion was that the low supply temperature could be achieved through optimized operation strategies. Whereas, the low return temperature was not able to be achieved only by improving the operation strategy.
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50

Zhao, Hong Shan, Yang Xia und Ning Xue. „A Hybrid Predictive Control Strategy for the Coordinated Voltage“. Advanced Materials Research 614-615 (Dezember 2012): 775–84. http://dx.doi.org/10.4028/www.scientific.net/amr.614-615.775.

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The substation is one of the most important nodes for the power system voltage control. Its dynamic behavior is usually characterized by the interaction of dynamic load models, describing continues variables governed by differential equations, and of discrete controllers and coordinated logic, describing symbolic variables governed by discrete behaviors, logic rules and switching mechanisms. Therefore, the operation and control of the substation is a typical hybrid dynamic system. To make an effective voltage coordinated control in substation, this paper proposed a hybrid predictive control strategy. First, the discrete-time hybrid automata model was given for describing the hybrid voltage control system in substation. Then, by using the voltage-security control constrain instead of the goal of voltage-security control, the voltage coordinated control problem can be converted to a minimization cost problem on the premise of the voltage-security control, based on the technology of the MPC. And, for the discrete control characteristics and different control delays of multi-controllers, a branch and search algorithm was designed to solve the hybrid predictive control problem. This proposed algorithm is suitable for the voltage predictive control of substation, which have less control variables and different controllers’ delays. Finally, the coordinated controller was designed on Dymola. And the example of BPA test system three generations and ten buses included was given for simulation analysis and the verification by the proposed approach for substation coordinated voltage control. The results of simulation showed that the proposed control strategy in the paper is feasible.
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