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Relevant bibliographies by topics / Drivetrain Modeling

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Journal articles
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Academic literature on the topic 'Drivetrain Modeling'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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Journal articles on the topic "Drivetrain Modeling"

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Rumetshofer, Johannes, Michael Stolz, Markus Bachinger, and Martin Horn. "A Generic and Modular Modeling Approach for Automotive Drivetrains Using a Coordinate Partitioning Method." MATEC Web of Conferences 220 (2018): 02002. http://dx.doi.org/10.1051/matecconf/201822002002.

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Drivetrain models play an important role in state-of-the-art automotive drivetrain and control concept development. Based on a proposed set of elementary drivetrain components, this article contributes a generic straightforward approach to compute state-space models for various geared drivetrain layouts, including complex hybrid multi-mode transmissions. The modular approach follows Lagrange formalism: The free motion of rigid shafts is subsequently constrained, considering connecting elements like spur and planetary gear sets. The generalized coordinates are determined by a coordinate partitioning method, ensuring a physically reasonable coordinate system. The proposed approach features high potential for automation. This enables drivetrain modeling by non-experts in the field of mechanical engineering.

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Moghadam, Farid K., Geraldo F. de S. Rebouças, and Amir R. Nejad. "Digital twin modeling for predictive maintenance of gearboxes in floating offshore wind turbine drivetrains." Forschung im Ingenieurwesen 85, no. 2 (April 8, 2021): 273–86. http://dx.doi.org/10.1007/s10010-021-00468-9.

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AbstractThis paper presents a multi-degree of freedom torsional model of drivetrain system as the digital twin model for monitoring the remaining useful lifetime of the drivetrain components. An algorithm is proposed for the model identification, which receives the torsional response and estimated values of rotor and generator torques, and calculates the drivetrain dynamic properties, e.g. eigenvalues, and torsional model parameters. The applications of this model in prediction of gearbox remaining useful lifetime is discussed. The proposed method is computationally fast, and can be implemented by integrating with the current turbine control and monitoring system without a need for a new system and sensors installation. A test case, using 5 MW reference drivetrain, has been demonstrated.

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Lee, Hyeongill, Youkyung Han, and Byeongil Kim. "Attenuation of Torsional Vibration in the Drivetrain of a Wind Turbine using a Centrifugal Pendulum Absorber." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 3 (August 1, 2021): 3545–53. http://dx.doi.org/10.3397/in-2021-2449.

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The drivetrain of wind turbines consists of many complicated rotary elements such as planetary gear, parallel gear train, bearing etc. The drivetrain of the wind turbine are studied with many different modeling techniques in several works. However, the things come to complicated when considering a complete drivetrain of a wind turbine. In this study, the transfer matrix method will be utilized to analyze the torsional vibration of a sample wind turbine drivetrain. Each element in the drivetain of the sample wind turbine is modeled with a specific transfer matrix and the matrix for the whole drivetrain is derived by serial multiplications of individual matrices. Dynamic characteristics of the drivetrain are investigated with derived matrix. Then, the application of a centrifugal pendulum absorber(CPA) to the drivetrain to attenuate the torsional vibration in the system is studied. The transfer matrix for the CPA introduced in the previous study is used to determine the optimal configuration and location of the CPA. The CPA shows good performance on the torsion vibration reduction for the drivetrain of the sample wind turbine.

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Diachuk, Maksym, Said M. Easa, Udai Hassein, and Daniel Shihundu. "Modeling Passing Maneuver Based on Vehicle Characteristics for In-Vehicle Collision Warning Systems on Two-Lane Highways." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 9 (May 4, 2019): 165–78. http://dx.doi.org/10.1177/0361198119844245.

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Modern vehicles are equipped with various sensors of high accuracy and sensitivity, based on which it is possible to implement passing collision warning systems (PCWS) for two-lane highways. In previous systems, the time required to complete the passing maneuver safely was formulated based on pre-established regression models. In this paper, this time is formulated based on actual vehicle characteristics. The new vehicle dynamics model for the PCWS prototype includes steering control and drivetrain models, and allows more accurate prediction of the required passing time. The geometry of the passing maneuver (for the case of an impeding truck), the main phases of the passing process, and the distances related to the conditions for predicting passing time are described. The interactions between the PCWS and driver actions are formulated. The steering control model is based on a two-dimensional perspective representation of the three-dimensional reality perceived by the driver. The drivetrain model, including inertial and mechanical losses in the drivetrain, considers automatic gear shift and the presence of a torque converter to simulate vehicle performance accurately. The proposed PCWS was tested using MATLAB Simulink.

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van Harselaar, Wilco, Theo Hofman, and Markus Brouwer. "Automated Dynamic Modeling of Arbitrary Hybrid and Electric Drivetrain Topologies." IEEE Transactions on Vehicular Technology 67, no. 8 (August 2018): 6921–34. http://dx.doi.org/10.1109/tvt.2018.2834537.

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Shenglin, Zhang, Zhu Caichao, Song Chaosheng, Tan Jianjun, and Chen Xu. "Natural characteristic analysis of wind turbine drivetrain considering flexible supporting." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 232, no. 5 (February 7, 2017): 842–56. http://dx.doi.org/10.1177/0954406217692006.

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The mechanical system of wind turbine is much complicated and can be divided into the drivetrain and supporting portions. The drivetrain consists of wheel, main shaft, gearbox, generator, etc. and the supporting portion mainly consists of a tower and a cabin. In order to reduce the unit cost of electricity, the capacity and size of wind turbine are increased gradually in the past years. Meanwhile, with the increase of the wind turbine height, the tower actually becomes more flexible as the supporting part. And the influence of the supporting tower flexibility becomes stronger due to the varying wind loads both in magnitude and direction. Using the rigid–flexible coupling multibody dynamic theory, the coupled dynamic model of the wind turbine drive train was developed considering the flexible supporting. Then the natural characteristics of the system were computed and investigated. For the dynamic modeling, the blades, the tower and main shaft were modeled as flexible bodies, while the other components, such as the hub and the gearbox, were modeled as rigid bodies. The potential resonance frequencies of the system were discussed through the Campbell diagram and the modal energy distribution analysis. The results show that the natural frequency of swing mode shapes for the tower was 0.399 Hz and 0.405 Hz. The first natural frequency of drivetrain, which represented a torsional vibration mode, was 1.64 Hz. From the Campbell diagram and the modal energy distribution analysis, resonances would not occur within the normal operating speed range for the drivetrain. And a comparison analysis indicated that the flexible supports would increase the bearing loads along axial direction and radial direction, especially in main shaft and torque arm, but that influence was not obvious at parallel stage. However, to some extent, the flexible supports can decrease the loads fluctuation of drivetrain. Finally, the online vibration experiments were carried out in the wind field. The vibration characteristics of the wind turbine drivetrain were analyzed and the experimental results also compared well with the theoretical dynamic results.

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Tan, Jianjun, Caichao Zhu, Chaosheng Song, Yao Li, and Xiangyang Xu. "Dynamic modeling and analysis of wind turbine drivetrain considering platform motion." Mechanism and Machine Theory 140 (October 2019): 781–808. http://dx.doi.org/10.1016/j.mechmachtheory.2019.06.026.

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Sokolov-Dobrev, N. S., M. V. Ljashenko, V. V. Shekhovtsov, and P. V. Potapov. "Research of dynamic loading in a drivetrain by means of mathematical modeling." IOP Conference Series: Materials Science and Engineering 177 (February 2017): 012092. http://dx.doi.org/10.1088/1757-899x/177/1/012092.

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Moulik, B., and D. Söffker. "Modeling, Control, and Powermanagement Optimization for an Emulated Multi-Source Hybrid Drivetrain." IFAC-PapersOnLine 48, no. 1 (2015): 657–58. http://dx.doi.org/10.1016/j.ifacol.2015.05.026.

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HE, Yulin. "Flexible Multibody Dynamics Modeling and Simulation Analysis of Large-scale Wind Turbine Drivetrain." Journal of Mechanical Engineering 50, no. 1 (2014): 61. http://dx.doi.org/10.3901/jme.2014.01.061.

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Dissertations / Theses on the topic "Drivetrain Modeling"

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Hubbard, Gregory A. (Gregory Andrew). "Modeling and control of a hybrid-electric vehicle drivetrain." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/11250.

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Vournas, Danielle. "Modeling and Control of Magnetic Gear Dynamics in a Wind Turbine Drivetrain." PDXScholar, 2019. https://pdxscholar.library.pdx.edu/open_access_etds/5180.

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This thesis looks at the modeling and simulation of linear and nonlinear magnetic gear dynamics in a wind turbine drivetrain. The objective is to lay the groundwork for analysis, modeling and optimization of control structures focused on pole-slip prevention. A classical mechanical two-mass torsion spring model is used as the basis for developing the dynamic system equations and Simulink models. The wind turbine torque input to the low speed rotor is modeled as a disturbance input, the generator torque is modeled as a controlled input, and the high-speed rotor speed is the only measured output. The nonlinear dynamics are linearized; and a state space model is built that utilizes both gear rotor speeds and the load angle as states. A state space feedback compensation controller is designed using pole placement techniques; and the sensitivity of the selected poles is tested across the full range of rated load angles. A full order observer is combined with state feedback compensation and the performance is evaluated with and without load angle speed regulation and integral action. A reduced order observer is designed with load torque estimation as an additional "metastate", which is then used to calculate the load angle, providing a better estimate than what the observer directly provides. Finally, the accuracy of the reduced order observer to is tested using real torque data from a wind turbine.

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Camacho, Silva Leandro. "Modeling and Design of the Electric Drivetrain for the 2013 Research Concept Vehicle." Thesis, KTH, Elektrisk energiomvandling, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-133353.

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The research for electric vehicles has been growing during last years and the development of electric drive trains can be considered a main challenge. This thesis presents the electric drive train of the research concept vehicle (RCV) 2013, with particular focus on electric machines, motor controllers, and the communication system. In the first part of this thesis, the electric drive train configuration and components are described. In-wheel motors are proposed which is a permanent magnet synchronous machine (PMSM). This technology allows the use of autonomous corner modules (ACM) increasing the quality and safety of the system. Each of the four in-wheel motors has a controller enabling the use of torque or speed control mode. Furthermore, a dSPACE unit provides the total control of the system by CAN bus. Additionally, the dSPACE ControlDesk interface used to control the drive system is presented. In the second part, the heat sink of the AC Drive is investigated by measurements and analytical calculations. Furthermore, the motor temperature at different loads is also presented and discussed. Finally, the efficiency of an in-wheel motor (PRA 230) is studied. Also the efficiency of the motor controller is estimated and discussed.

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Wei, Xi. "Modeling and control of a hybrid electric drivetrain for optimum fuel economy, performance and driveability." The Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1095960915.

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Marciszko, Fredrik. "Torque Sensor based Powertrain Control." Thesis, Linköping University, Department of Electrical Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2248.

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The transmission is probably the drivetrain component with the greatest impact on driveability of an automatic transmission equipped vehicle. Since the driver only has an indirect influence on the gear shift timing, except for situations like kick-down accelerations, it is desirable to improve shift quality as perceived by the driver. However, improving shift quality is a problem normally diametrically opposed to minimizing transmission clutch energy dissipation. The latter has a great impact on transmission lifetime, and has to be defined and taken into consideration along with the notion of shift quality. The main focus of this thesis is the modeling of a drivetrain of an automatic transmission vehicle, and the implementation in MatLab/Simulink, including the first to second gear upshift. The resulting plant based on the derived equations is validated using data from a test vehicle equipped with a torque sensor located at the transmission output shaft. The shaft torque is more or less proportional to the driveline jerk, and hence of great interest for control purposes. Control strategies are discussed and a PID controller structure is developed to control the first to second gear upshift, as opposed to the traditional open-loop upshift control. Furthermore, the proposed controller structure uses the transmission output torque and the differential speed of the engaging clutch as inputs, to control the clutch pressure and the engine output torque, respectively. The structure is unsophisticated and transparent compared to other approaches, but shows great theoretical results in terms of improved shift quality and decreased clutch wear.

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Dabhi, Meet, and Karthik Ramanan Vaidyanathan. "Automation and synchronizationof traction assistance devices toimprove traction and steerability ofa construction truck." Thesis, KTH, Fordonsdynamik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209198.

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Automotive development has always been need-based and the product of today is an evolutionover several decades and a diversied technology application to deliver better products to theend users. Steady increase in the deployment of on-board electronics and software is characterizedby the demand and stringent regulations. Today, almost every function on-board a modernvehicle is either monitored or controlled electronically.One such specic demand for AB Volvo arose out of construction trucks in the US market. Usersseldom have/had a view of the operational boundaries of the drivetrain components, resultingin inappropriate use causing damage, poor traction and steering performance. Also, AB Volvo'sstand-alone traction assistance functions were not suciently capable to handle the vehicle useconditions. Hence, the goal was set to automate and synchronize the traction assistance devicesand software functions to improve the traction and steerability under a variety of road conditions.The rst steps in this thesis involved understanding the drivetrain components from design andoperational boundary perspective. The function descriptions of the various traction softwarefunctions were reviewed and a development/integration plan drafted. A literature survey wascarried out seeking potential improvement in traction from dierential locking and also its eectson steerability. A benchmarking exercise was carried out to identify competitor and suppliertechnologies available for the traction device automation task.The focus was then shifted to developing and validating the traction controller in a simulationenvironment. Importance was given to modeling of drivetrain components and renement ofvehicle behavior to study and understand the eects of dierential locking and develop a differentiallock control strategy. The modeling also included creating dierent road segments toreplicate use environment and simulating vehicle performance in the same, to reduce test timeand costs. With well-correlated vehicle performance results, a dierential lock control strategywas developed and simulated to observe traction improvement. It was then implemented onan all-wheel drive construction truck using dSPACE Autobox to test, validate and rene thecontroller.Periodic test sessions carried out at Hallered proving ground, Sweden were important to re-ne the control strategy. Feedback from test drivers and inputs from cross-functional teamswere essential to develop a robust controller and the same was tested for vehicle suitability andrepeatability of results. When comparing with the existing traction software functions, the integrateddierential lock and transfer case lock controller showed signicantly better performanceunder most test conditions. Repeatable results proved the reliability of developed controller.The correlation between vehicle test scenarios and simulation environment results indicated theaccuracy of software models and control strategy, bi-directionally.Finally, the new traction assistance device controller function was demonstrated within ABVolvo to showcase the traction improvement and uncompromising steerability.

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Northcote, Nicholas M. "The modelling and control of an automotive drivetrain." Thesis, Stellenbosch : University of Stellenbosch, 2006. http://hdl.handle.net/10019.1/1785.

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Thesis (MScEng (Mechanical and Mechatronic Engineering))--University of Stellenbosch, 2006.
Shunt and shuffle in a vehicle drivetrain are two driveability related phenomena responsible for driver discomfort. They are experienced as a sharp jerk (shunt) followed by a series of longitudinal oscillations (shuffle) and are induced by a rapid change in engine torque. The use of drive‐by‐wire throttles in modern day vehicles enables the onboard electronic control unit to manipulate the driver’s torque demand befoe sending a revised torque demand signal to the engine. In this way a feedback control system can be used to ensure that the drivetrain follows the driver’s torque demand as quickly s possible without inducing shunt or shuffle. In this project a drivetrain model was derived and its parameters experimentally determined. The accuracy of the model was validated using test data from a vehicle, and the conclusion was made that the model was an accurate vehicle simulation tool. A drivetrain controller was then designed and its performance simulated using the vehicle model. The simulations showed that the controller significantly reduced the shunt and shuffle in the drivetrain thereby improving drier comfort.

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Thornblad, Johan. "Drivetrain Modelling and Clutch Temperature Estimation in Heavy Duty Trucks." Thesis, Linköpings universitet, Fordonssystem, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-108117.

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An existing drivetrain model with clutch temperature dynamics has been used to simulate the behaviour of a heavy duty truck. During the implementation of the model in MATLAB/Simulink modularity and simplicity was greatly emphasized. This was done in order to facilitate the use of the model in various applications as well as making it easy to understand. The main contributions of the thesis is however the adaptation of a clutch temperature and wear observer for use in an on-line application in the gearbox management system (GMS). The process of taking the observer from an off-line simulation environment to running on-line includes taking into consideration the configuration and limitations of the GMS as well as adapting the interface of the observer. Concretely this means dealing with the limitations of the available data types in the GMS, compensating for the effect of biased measurements as well as accounting for the different dynamics of the sensor-types used in the clutch.In a simulation environment the performance of the adapted observer has been studied and its ability to compensate for heat expansion and wear in the clutch shown.
En existerande drivlinemodell med temperaturdynamik i kopplingen har använts för att simulera beteendet hos en lastbil. Vid implementation av modellen i MATLAB/Simulink betonades vikten av en enkel och modulär struktur. Detta gjordes för att underlätta användning av modellen i olika applikationer samt för att göra den lätt att förstå.De huvudsakliga bidragen i uppsatsen är anpassningen av en temperatur- och slitageobeservatör på kopplingen för användning i realtid av växellådans styrenhet. För att ta observatören från simulerings- till realtidsmiljö måste styrenhetens konfiguration och begränsningar beaktas samt gränssnittet hos observatören anpassas. Konkret betyder detta att hänsyn till begränsningarna hos de olika datatyper som används i kopplingens styrenhet tagits, att den negativa inverkan som brusiga mätsignaler kan få begränsats samt att skillnader i dynamik hos de olika sensortyper som används i kopplingen kompenserats för. Med simuleringar har prestandan hos den anpassade observatören studerats samt dess förmåga att kompensera för värmeutvidgning och slitage i kopplingen visats.

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Mason, Byron A. "Reconfigurable modelling of physically based systems: Dynamic modelling and optimisation for product design and development applied to the automotive drivetrain system." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/3355.

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The work of this thesis is concerned with the aggregation and advancement of modelling practise as used within modern day product development and optimisation environments making use of Model Based Design (¿MBD¿) and similar procedures. A review of model development and use forms the foundation of the work, with the findings being aggregated into two unique approaches for rapid model development and reconfiguration; the Plug-and-Simulate (¿PaS¿) approach and the Paradigm for Large Model Creation (¿PLMC¿); each shown to posses its own advantages. To support the MBD process a model optimisation algorithm that seeks to eliminate parameters that are of little or no significance to a simulation is developed. Eliminations are made on the basis of an energy analysis which determines the activity of a number of energy elements. Low activity elements are said to be of less significance to the global dynamics of a model and thus become targets for elimination. A model configuration tool is presented that brings together the PLMC and parameter elimination algorithm. The tool is shown to be useful for rapid configuration and reconfiguration of models and is capable of automatically running the optimisation algorithms thus producing a simulation model that is parametrically and computationally optimised. The response of the plug-and-simulate drivetrain submodels, assembled to represent a front wheel drive drivetrain, is examined. The resulting model is subjected to a torque step-input and an empirically obtained torque curve that characterises the input to a drivetrain undergoing steady acceleration. The model displays the expected response in both its full parameter and parameter reduced versions with simulation efficiency gains observed in the parameter reduced version.
EPSRC

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Mason, Byron. "Reconfigurable modelling of physically based systems : dynamic modelling and optimisation for product design and development applied to the automotive drivetrain system." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/3355.

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The work of this thesis is concerned with the aggregation and advancement of modelling practise as used within modern day product development and optimisation environments making use of Model Based Design ('MBD') and similar procedures. A review of model development and use forms the foundation of the work, with the findings being aggregated into two unique approaches for rapid model development and reconfiguration; the Plug-and-Simulate ('PaS') approach and the Paradigm for Large Model Creation ('PLMC'); each shown to posses its own advantages. To support the MBD process a model optimisation algorithm that seeks to eliminate parameters that are of little or no significance to a simulation is developed. Eliminations are made on the basis of an energy analysis which determines the activity of a number of energy elements. Low activity elements are said to be of less significance to the global dynamics of a model and thus become targets for elimination. A model configuration tool is presented that brings together the PLMC and parameter elimination algorithm. The tool is shown to be useful for rapid configuration and reconfiguration of models and is capable of automatically running the optimisation algorithms thus producing a simulation model that is parametrically and computationally optimised. The response of the plug-and-simulate drivetrain submodels, assembled to represent a front wheel drive drivetrain, is examined. The resulting model is subjected to a torque step-input and an empirically obtained torque curve that characterises the input to a drivetrain undergoing steady acceleration. The model displays the expected response in both its full parameter and parameter reduced versions with simulation efficiency gains observed in the parameter reduced version.

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Book chapters on the topic "Drivetrain Modeling"

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Schramm, Dieter, Manfred Hiller, and Roberto Bardini. "Modeling of the Drivetrain." In Vehicle Dynamics, 185–204. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-540-36045-2_8.

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Schramm, Dieter, Manfred Hiller, and Roberto Bardini. "Modeling of the Drivetrain." In Vehicle Dynamics, 187–206. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-54483-9_8.

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Rafsanjani, Hesam Mirzaei, and John Dalsgaard Sørensen. "Stochastic Models of Defects in Wind Turbine Drivetrain Components." In Multiscale Modeling and Uncertainty Quantification of Materials and Structures, 287–98. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06331-7_19.

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Okabe, Eduardo Paiva, and Daniel Iwao Suyama. "Modeling and Simulation of the Drivetrain of a Metal Lathe." In Mechanisms and Machine Science, 470–81. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99270-9_34.

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Ghorbel, Ahmed, Moez Abdennadher, Lassâad Walha, Becem Zghal, and Mohamed Haddar. "Vibration Analysis of a Nonlinear Drivetrain System in the Presence of Acyclism." In Design and Modeling of Mechanical Systems—III, 541–50. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66697-6_52.

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Nejad, Amir Rasekhi. "Modelling and Analysis of Drivetrains in Offshore Wind Turbines." In Offshore Wind Energy Technology, 37–101. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119097808.ch3.

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Zhiwei Zhang, Yi Guo, and Christopher K. Baker. "Drivetrain analysis for reliable design." In Wind Energy Modeling and Simulation - Volume 2: Turbine and System, 97–124. Institution of Engineering and Technology, 2019. http://dx.doi.org/10.1049/pbpo125g_ch4.

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Rafsanjani, H., and J. Sørensen. "Stochastic modeling of wind turbine drivetrain components." In Safety, Reliability and Risk Analysis, 1221–28. CRC Press, 2013. http://dx.doi.org/10.1201/b15938-182.

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Vafaeipour, Majid, Dai-Duong Tran, Thomas Geury, Mohamed El Baghdadi, and Omar Hegazy. "Application of Ant Colony Optimization for Co-Design of Hybrid Electric Vehicles." In Ant Colony Optimization [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97559.

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One key subject matter for effective use of Hybrid Electric Vehicles (HEVs) is searching for drivetrains which their component dimensions and control parameters are co-optimally designed for a desired performance. This makes the design challenge as a problem, which needs to be addressed in a holistic way meeting various constraints. Along this line, the strong coupling between components sizes of a drivetrain and parameters of its controllers turns the optimal sizing and control design of HEVs into a Bi-level optimization problem. In this chapter, an important application of continuous Ant Colony Optimization (ACOR) for integrated sizing and control design of HEVs is thoroughly discussed for minimizing the drivetrain cost, minimizing the fuel consumption and addressing the control objectives at the meantime. The outcome of this chapter provides useful information related to incorporation of soft-computing, modeling and simulation concepts into optimization-based design of HEVs from all respects for designers and automotive engineers. It brings opportunities to the readers for understanding the criteria, constraints, and objective functions required for the optimal design of HEVs. Via introducing a two-folded iterative framework, fuel consumption and component sizing minimizations are of the main goals to be simultaneously addressed in this chapter using ACOR.

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Caruntu, Constantin-Florin. "Lyapunov-Based Predictive Control Methodologies for Networked Control Systems." In Advances in Computer and Electrical Engineering, 81–111. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3531-7.ch005.

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The problem considered in this chapter is to control a vehicle drivetrain in order to minimize its oscillations while coping with the time-varying delays introduced by the CAN communication network and the strict timing limitations. As such, two Lyapunov-based model predictive control design methodologies are presented: one based on modeling the network-induced time-varying delays using a polytopic approximation technique and the second one based on modeling the delays as disturbances. Several tests performed using an industry validated drivetrain model indicate that the proposed design methodologies can handle both the performance/physical constraints and the strict limitations on the computational complexity, while effectively coping with the time-varying delays. Moreover, a comparative analysis between the two Lyapunov-based model predictive control design methodologies in terms of computational complexity, number of optimization variables, and obtained performances is carried out.

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Conference papers on the topic "Drivetrain Modeling"

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Hofman, T., M. Steinbuch, and R. M. van Druten. "Modeling for simulation of hybrid drivetrain components." In 2006 IEEE Vehicle Power and Propulsion Conference. IEEE, 2006. http://dx.doi.org/10.1109/vppc.2006.364269.

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Mulski, Steven, and Lutz Mauer. "Three Dimensional Virtual Modeling and Analysis Methods of Embedded Drivetrains." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87224.

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Drivetrains are a major source of vibration, noise and system failures. Accordingly, a significant amount of time and effort is being invested developing simulation methods in order to better understand and avoid potentially damaging vibrations, even before prototypes are created for testing. The first step in simulating any drivetrain is creating suitable virtual models to investigate particular phenomena. Too much model detail leads to long computation times and difficulties in interpreting results, while too little may fail to include desired effects. Because the various levels of detail available in multi-body simulation (MBS) are practically limitless, a significant amount of attention must be given in order to choose the appropriate modeling elements. In the simplest form an entire drivetrain can be modeled as several rigid masses connected with torsional springs, which is justifiable for fundamental concept analyses. For other analyses, full three dimensional modeling with complex components may be necessary. Higher frequency analyses may even necessitate the inclusion of material bending for achieving accurate results. The various available elements for modeling specific components must be well understood in order that appropriate choices are made. Modeling requirements for the elements commonly used in the simulation of drivetrains will be discussed. For example: bearings, gearwheels, universal and constant velocity joints, frequency and amplitude dependent mounts, flexible components (e.g. shafts and gearbox housings), etc. Once virtual models are available, various analysis methods are applied in order to aid designers in identifying and quantifying potentially damaging vibrations. Again the application and limitation of these methods must be well understood in order to generate meaningful results. The following methods will be compared and discussed: resonance analysis, linear system analysis, run-up Fast Fourier Transformation analysis, order analysis, transfer path analysis and durability analysis. These drivetrain modeling techniques and analysis methods are not limited to any specific field of engineering, but can be applied to an extensive range of engineering disciplines. Analyses applied to virtual models out of the automotive and wind turbine sectors will be shown.

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Blockmans, Bart, Jan Helsen, Frederik Vanhollebeke, and Wim Desmet. "Dynamic Response of a Multi-Megawatt Wind Turbine Drivetrain Under Voltage Dips Using a Coupled Flexible Multibody Approach." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12458.

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High turbine reliability is of utmost importance to keep the cost of wind energy to a minimum. A considerable problem in this regard is that of premature drivetrain failures, which have plagued the wind turbine industry since its inception. Accurate prediction of the loads encountered by the drivetrain components during their lifetime is essential for reliable wind turbine design. Of particular interest are transient load events, which are expected to have a detrimental effect on the lifetime of drivetrain components, especially when they give rise to torque reversals. At the electrical side of the wind turbine, transient events worth investigating include grid faults, emergency stops and grid loss. Unlike previous research on the impact of these events, which typically uses simplified gearbox representations, this paper investigates the dynamic behavior of wind turbine drivetrains during grid faults using a coupled simulation of a flexible multibody model of a commercial multimegawatt wind turbine drivetrain and a Simulink model of a doubly fed induction generator (DFIG) and its controller. The mathematical modeling of the DFIG as well as the flexible multibody modeling of the drivetrain are described. Both gear and bearing forces on several components of the gearbox are examined during a symmetrical and asymmetrical voltage dip, and the influence of gearbox flexibility on these loads is assessed.

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de Souza Ribeiro, Ruan, Erick Oliveira do Nascimento, Davi Oliveira, Marilza dos santos Viana, and Jerson Vaz. "DRIVETRAIN RESISTANCE MODELING APPLIED TO SMALL WIND TURBINES." In 25th International Congress of Mechanical Engineering. ABCM, 2019. http://dx.doi.org/10.26678/abcm.cobem2019.cob2019-0901.

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Aydin, Timur, Thomas R. Egel, and Armand Ash-Rafzadeh. "Drivetrain Modeling, Simulation, and Analysis Using VHDL-AMS." In SAE 2003 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2003. http://dx.doi.org/10.4271/2003-01-0861.

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Hubbard, G. A., and K. Youcef-Toumi. "Modeling and simulation of a hybrid-electric vehicle drivetrain." In Proceedings of 16th American CONTROL Conference. IEEE, 1997. http://dx.doi.org/10.1109/acc.1997.611878.

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Chen, W. Warren, and Regan Zane. "Application of three-phase unfolder in electric vehicle drivetrain." In 2015 IEEE 16th Workshop on Control and Modeling for Power Electronics (COMPEL). IEEE, 2015. http://dx.doi.org/10.1109/compel.2015.7236512.

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Wehrwein, Daniel, and Zissimos P. Mourelatos. "Modeling and Optimization of Vehicle Drivetrain Dynamic Performance Considering Uncertainty." In SAE 2005 Noise and Vibration Conference and Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2005. http://dx.doi.org/10.4271/2005-01-2371.

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Meradji, Moudrik, Carlo Cecati, Gaolin Wang, and Dianguo Xu. "Dynamic modeling and optimal control for hybrid electric vehicle drivetrain." In 2016 IEEE International Conference on Industrial Technology (ICIT). IEEE, 2016. http://dx.doi.org/10.1109/icit.2016.7474967.

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Guo, Yi, Roger Bergua, Jeroen van Dam, Jordi Jove, and Jon Campbell. "Improving Wind Turbine Drivetrain Reliability Using a Combined Experimental, Computational, and Analytical Approach." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-35169.

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Nontorque loads induced by the wind turbine rotor overhang weight and aerodynamic forces can greatly affect drivetrain loads and responses. If not addressed properly, these loads can result in a decrease in gearbox component life. This work uses analytical modeling, computational modeling, and experimental data to evaluate a unique drivetrain design that minimizes the effects of nontorque loads on gearbox reliability: the Pure Torque® drivetrain developed by Alstom. The drivetrain has a hub-support configuration that transmits nontorque loads directly into the tower rather than through the gearbox as in other design approaches. An analytical model of Alstom’s Pure Torque drivetrain provides insight into the relationships among turbine component weights, aerodynamic forces, and the resulting drivetrain loads. Main shaft bending loads are orders of magnitude lower than the rated torque and are hardly affected by wind conditions and turbine operations.

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Reports on the topic "Drivetrain Modeling"

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Vournas, Danielle. Modeling and Control of Magnetic Gear Dynamics in a Wind Turbine Drivetrain. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.7056.

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Hori, Hiroyuki, Borislav Klarin, Thomas Schaffner, Martin Sopouch, and Christian Vock. NVH Analysis of the Drivetrain~Possibilities and Limitations of Different Modelling Approaches. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0173.

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