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Relevant bibliographies by topics / Modeling and control of automotive powertrains

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Academic literature on the topic 'Modeling and control of automotive powertrains'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Modeling and control of automotive powertrains"

1

Cho, D., and J. K. Hedrick. "Automotive Powertrain Modeling for Control." Journal of Dynamic Systems, Measurement, and Control 111, no. 4 (1989): 568–76. http://dx.doi.org/10.1115/1.3153093.

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A dynamic model of an automotive powertrain system is developed by the use of eight states and two time-delays in the continuous-time domain, with careful attention given to the dynamics and kinematics of a four-stroke spark-ignition engine, an automatic transmission, and rubber tires. The model is relatively simple, yet it predicts the important dynamics (including those during a shift) quite well when compared to experimental data. The model is well suited for developing powertrain controllers and can also be used for studying the dynamic behavior of a powertrain system. A great deal of effo

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Kliauzovich, Siarhei. "ANALYSIS OF CONTROL SYSTEMS FOR VEHICLE HYBRID POWERTRAINS." TRANSPORT 22, no. 2 (2007): 105–10. http://dx.doi.org/10.3846/16484142.2007.9638107.

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Ecological and socioeconomic factors determine high interest in the development of pollution‐free vehicles. At present use of electro‐vehicles is suppressed by a number of technological factors. Vehicles with alternative power‐trains are transitional stage between development of pollution‐free vehicles and vehicles with conventional internal combustion engine. According to these aspects the investigation on conventional hybrid drives and their control systems is carried out in the article. The equations that allow evaluating effectiveness of regenerative braking for different variants of hybri

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Bastin, Matthew Andrew, and 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, no. 6 (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,

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Zheng, Yong Qian, Jie Li, Ya Ling Zhao, and Deng Jun Wang. "Research on Powertrain Production Line Modeling and Design." Advanced Materials Research 225-226 (April 2011): 1250–53. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.1250.

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Nowadays in automotive industry JIT production mode is an overwhelming trend. And it resulted in an unprecedented challenge to the traditional mode of production designing, operation and information transaction. To solve the problems mentioned above a novel method is proposed to establish planning system models with tree discrete view structure, to visualize control and optimization in designing production line based on processing work flow. This model gave attention to various paths to access and control the production line, and also to communications with other systems among enterprises. Fin

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Liu, Zeyu, and John Wagner. "Nonlinear Model Reduction for Dynamic and Automotive System Descriptions." Journal of Dynamic Systems, Measurement, and Control 124, no. 4 (2002): 637–47. http://dx.doi.org/10.1115/1.1515327.

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The mathematical modeling of dynamic systems is an important task in the design, analysis, and implementation of advanced control systems. Although most vehicle control algorithms tend to use model-free calibration architectures, a need exists to migrate to model-based control algorithms which may offer greater operating performance. However, in many instances, the analytical descriptions are too complex for real-time powertrain and chassis model-based control algorithms. Thus, model reduction strategies may be applied to transform the original model into a simplified lower-order form while pr

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Cao, M., K. W. Wang, Y. Fujii, and W. E. Tobler. "Development of a Friction Component Model for Automotive Powertrain System Analysis and Shift Controller Design based on Parallel-Modulated Neural Networks." Journal of Dynamic Systems, Measurement, and Control 127, no. 3 (2004): 382–405. http://dx.doi.org/10.1115/1.1978909.

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In this study, a new hybrid-neural-network-based friction component model is developed for powertrain (PT) dynamic analysis and controller design. This new model, with significantly improved input-output scalability over conventional neural network configuration, has the capability to serve as a forward as well as an inverse system model. The structural information of the available physical and empirical correlations is utilized to construct a parallel-modulated neural network (PMNN) architecture consisting of small parallel sub-networks reflecting specific mechanisms of the friction component

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Chakraborty, Sajib, Hai-Nam Vu, Mohammed Mahedi Hasan, Dai-Duong Tran, Mohamed El Baghdadi, and Omar Hegazy. "DC-DC Converter Topologies for Electric Vehicles, Plug-in Hybrid Electric Vehicles and Fast Charging Stations: State of the Art and Future Trends." Energies 12, no. 8 (2019): 1569. http://dx.doi.org/10.3390/en12081569.

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This article reviews the design and evaluation of different DC-DC converter topologies for Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs). The design and evaluation of these converter topologies are presented, analyzed and compared in terms of output power, component count, switching frequency, electromagnetic interference (EMI), losses, effectiveness, reliability and cost. This paper also evaluates the architecture, merits and demerits of converter topologies (AC-DC and DC-DC) for Fast Charging Stations (FCHARs). On the basis of this analysis, it has found that

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Neumann, Daniel, Christian Jörg, Nils Peschke, Joschka Schaub, and Thorsten Schnorbus. "Real-time capable simulation of diesel combustion processes for HiL applications." International Journal of Engine Research 19, no. 2 (2017): 214–29. http://dx.doi.org/10.1177/1468087417726226.

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The complexity of the development processes for advanced diesel engines has significantly increased during the last decades. A further increase is to be expected, due to more restrictive emission legislations and new certification cycles. This trend leads to a higher time exposure at engine test benches, thus resulting in higher costs. To counter this problem, virtual engine development strategies are being increasingly used. To calibrate the complete powertrain and various driving situations, model in the loop and hardware in the loop concepts have become more important. The main effort in th

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Lagerberg, Adam, and Bo Egardt. "MODEL PREDICTIVE CONTROL OF AUTOMOTIVE POWERTRAINS WITH BACKLASH." IFAC Proceedings Volumes 38, no. 1 (2005): 1–6. http://dx.doi.org/10.3182/20050703-6-cz-1902.01888.

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Isermann, R. "Perspectives for the Future of Automotive Powertrains." IFAC-PapersOnLine 53, no. 2 (2020): 13805–8. http://dx.doi.org/10.1016/j.ifacol.2020.12.889.

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Dissertations / Theses on the topic "Modeling and control of automotive powertrains"

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Merical, Kyle I. "Model-Based Control Development for an Advanced Thermal Management System for Automotive Powertrains." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366074069.

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Agarwal, Neeraj R. "Modeling, Validation and Analysis of an Advanced Thermal Management System for Conventional Automotive Powertrains." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1338383355.

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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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Corne, Adrien. "Current Sensorless Control Strategies for an Automotive Electric Powertrain." Electronic Thesis or Diss., Université de Lorraine, 2019. http://www.theses.fr/2019LORR0292.

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L’application de quotas d’émissions de gaz à effet de serre a amené les constructeurs automobiles à augmenter le niveau d’électrification de leurs véhicules. En parallèle des véhicules tout électrique, se sont développées les solutions hybrides, tel le mild-hybrid autorisant l’association d’une chaîne de traction électrique avec le moteur à combustion dans le but d’absorber les pics de consommation de carburant. Afin de rester compétitif, les coûts de production d’un véhicule doivent être optimisés autant que possible, ainsi l’étude réalisée de commande de machine synchrone à griffes sans capt

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Hedon, Martin. "Modeling and Simulation of a Hybrid Powertrain." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235271.

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Hybrid powertrains represent the current trend on passenger cars. The purpose of thisreport is to create a basic model of a hybrid powertrain in Matlab/Simulinkenvironment and study their performance over certification driving cycle. Threecommonly used architectures are modeled and discussed in Simulink. Hence, the basiccomponents of a powertrain – battery, electric machine and combustion engine – arestudied and basic models are realized. A Thevenin equivalent circuit is used to simulatethe behavior of the battery, and the combustion engine is modeled after a Willansmodel. The electric machine

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Barr, Matthew Phillip. "Dynamic Modeling, Friction Parameter Estimation, and Control of a Dual Clutch Transmission." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397745325.

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Dutka, Arkadiusz Stanisław. "Non-linear identification, estimation and control of automotive powertrains." Thesis, University of Strathclyde, 2005. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=24339.

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Increasingly tight emission regulations put a pressure on control engineers to come up with improved engine control systems. The task is difficult, as it is desired to minimize complexity, cost and maximize reliability and performance, all at the same time. Fortunately, modern control techniques offer assistance in achieving these goals. This motivation resulted in a range of topics developed in this thesis. A modelling, estimation and fault detection theory is presented. The estimation theory is often used for the system identification, but its main application is the model-based filtering, s

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De, Pascali Luca. "Modeling, Optimization and Control of Hybrid Powertrains." Doctoral thesis, Università degli studi di Trento, 2019. http://hdl.handle.net/11572/242873.

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To cope with the increasing demand of a more sustainable mobility, the main Original Equipment Manufacturers are producing vehicles equipped with hybrid propulsion systems that increase the overall vehicle efficiency and mitigate the emission problem at a local level. The newly gained degrees of freedom of the hybrid powertrain need to be handled by advanced energy management techniques that allow to fully exploit the system capabilities. In this thesis we propose an optimal control approach to the solution of the energy management problem, putting emphasis on the importance of accurate model

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Nezhadali, Vaheed. "Modeling and Optimal Control of Heavy-Duty Powertrains." Doctoral thesis, Linköpings universitet, Fordonssystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-128002.

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Heavy duty powertrains are complex systems with components from various domains, different response times during transient operations and different efficient operating ranges. To ensure efficient transient operation of a powertrain, e.g. with low fuel consumption or short transient duration, it is important to come up with proper control strategies. In this dissertation, optimal control theory is used to calculate and analyze efficient heavy duty powertrain controls during transient operations in different applications. This is enabled by first developing control ready models, usable for multi

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Zheng, Quan. "Modeling and control of powertrains with stepped automatic transmissions /." The Ohio State University, 1999. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488193272070127.

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Books on the topic "Modeling and control of automotive powertrains"

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Liu, Wei. Introduction to hybrid vehicle system modeling & control. Wiley, 2012.

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National Research Council (U.S.). Transportation Research Board., ed. Vehicle routing, traveler ADIS, network modeling, and advanced control systems. National Academy Press, 1992.

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Electronic Engine Controls 2000: Modeling, Neural Networks, Obd, and Sensors (S P (Society of Automotive Engineers)). Society of Automotive Engineers Inc, 2000.

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Book chapters on the topic "Modeling and control of automotive powertrains"

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Ohata, Akira. "A Desired Modeling Environment for Automotive Powertrain Controls." In Identification for Automotive Systems. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2221-0_2.

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Isermann, Rolf. "Vehicle Dynamics Modeling." In Automotive Control. Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-642-39440-9_4.

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Widd, Anders, Per Tunestål, and Rolf Johansson. "Modeling for HCCI Control." In Identification for Automotive Systems. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2221-0_16.

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Eriksson, Lars, Johan Wahlström, and Markus Klein. "Physical Modeling of Turbocharged Engines and Parameter Identification." In Automotive Model Predictive Control. Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-071-7_4.

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Johansson, Rolf, Per Tunestål, and Anders Widd. "Modeling and Model-based Control of Homogeneous Charge Compression Ignition (HCCI) Engine Dynamics." In Automotive Model Predictive Control. Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-071-7_6.

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Stoica, Ionut Alexandru, Marius Valentin Bataus, and Ioan Mircea Oprean. "Modeling of Electric Vehicles for Driveability Control Applications." In Proceedings of the European Automotive Congress EAEC-ESFA 2015. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27276-4_15.

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Do, Anh-Lam, Olivier Sename, and Luc Dugard. "LPV Modeling and Control of Semi-active Dampers in Automotive Systems." In Control of Linear Parameter Varying Systems with Applications. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-1833-7_15.

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Shiraishi, Shin’ichi. "An AADL-Based Approach to Variability Modeling of Automotive Control Systems." In Model Driven Engineering Languages and Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16145-2_24.

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Yin, Xiaofeng, Jingxing Tan, Xiuting Wu, and Qichang Yang. "Study on the Performance Modeling Approach for Automotive Embedded Control Software." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33829-8_36.

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Du, Jiaxi, Hong Shen, and Xin Ning. "Control System Modeling for Automotive Brake Test-Bench Based on Neural Network." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23235-0_17.

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Conference papers on the topic "Modeling and control of automotive powertrains"

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Godbole, Datta, and Sinan Karahan. "Automotive Powertrain Modeling, Simulation and Control Using Integrated System's CASE Tools." In International Congress & Exposition. SAE International, 1994. http://dx.doi.org/10.4271/940180.

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Cheli, Federico, Marco Pedrinelli, and Andrea Zorzutti. "Integrated Modeling of Vehicle and Driveline Dynamics." In ASME 8th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2006. http://dx.doi.org/10.1115/esda2006-95485.

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In the last years automotive industry has shown a growing interest in exploring the field of vehicle dynamic control, improving handling performances and safety of the vehicle, actuating devices able to optimize the driving torque distribution to the wheels. These techniques are defined as torque vectoring. The potentiality of these systems relies on the strong coupling between longitudinal and lateral vehicle dynamics established by tires and powertrain. Due to this fact the detailed (and correct) simulation of the dynamic behaviour of the driveline has a strong importance in the development

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Cheng, Rui, Jian Dong, and Zuomin Dong. "Modeling and Simulation of a Multiple-Regime Plug-In Hybrid Electric Vehicle." 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/detc2013-13619.

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In recent years, the automotive industry has devoted considerable resources to the research and development of hybrid vehicles. Plug-in hybrid electric vehicles (PHEV) present to be the next generation hybrid vehicles that offer the advantages in reducing fossil fuel consumption and lowering emissions without sacrifice vehicle performance, and the ability to utilize renewable energy through charge from the electric grid. In this work, the powertrain model of a series-parallel, multiple-regime plug-in hybrid electric vehicle (SPMR-PHEV) was introduced. As one of the several parallel powertrain

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Samuels, H. Bernard, John R. Wagner, Pradeep Setlur, and Darren M. Dawson. "Power Split CVT Modeling With Spool Valve Actuation." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32088.

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New stringent emission regulations are requiring automotive engineers to develop vehicles featuring multiple energy sources and innovative drivetrain components. One such innovation is the continuously variable transmission (CVT) which offers a continuum of variable gear ratios for greater efficiency and elimination of unwanted jerks in comparison to fixed gear transmissions. The power split CVT configuration offers both fixed gearing and adjustable pulleys to satisfy the torque/speed demands. Spool valves regulate the hydraulic fluid to actuate the CVT’s primary and secondary sheaves for gear

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Wang, Yu, Zongxuan Sun, and Kim A. Stelson. "Nonlinear Tracking Control of a Transient Hydrostatic Dynamometer for Hybrid Powertrain Research." In ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4171.

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With its superior power to weight ratio, the hydrostatic dynamometer is an ideal candidate for transient engine or powertrain testing. Given its high bandwidth, the hydrostatic dynamometer can be further used as a virtual power source to emulate the dynamics of the automotive hybrid power sources. This will greatly expedite the investigation of various hybrid powertrain architectures and control methodologies without building the complete hybrid system. This paper presents the design, modeling, nonlinear tracking control and experimental investigation of a transient hydrostatic dynamometer. An

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Cheli, Federico, Marco Pedrinelli, Sebastiano Campo, Andrea Fortina, and Paolo Martella. "Vehicle Dynamics Control System Actuating an Active Differential." In ASME 8th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2006. http://dx.doi.org/10.1115/esda2006-95517.

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In the last years automotive industry has shown a growing interest in exploring the field of actively controlled differentials due to the promising expectations of their application for the improvement of handling performances. The differential here considered has two clutches, which connect each driveshaft with a second part that, through a gear, always rotates faster. This device allows the control system to transfer torque from one wheel to the other one, almost independently from their relative velocity. The results of this preliminary modeling phase are shown in the first part of the pape

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Simionatto, Vinícius G. S., Hugo H. Miyasato, and Milton Dias Júnior. "Insights on Centrifugal Pendulum Vibration Absorber: Part One — Dynamic Modeling and Behaviour of Eigenvalues and Eigenvectors Along Rotating Speed." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-64421.

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An automotive powertrain is a system that is designed to transmit torque from the engine to the wheels of the vehicle, allowing it to move. The working principle of most of the vehicle engines is the internal combustion, which causes the torque generated by this engine to have important oscillatory components, which cause the powertrain to vibrate and generate noise, which is undesired. In order to control this vibration, among many engineering solutions is the centrifugal pendulum vibration absorber (CPVA), whose dynamic behaviour turns it is capable of reducing the amplitude of important ord

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Jankovic, M., and S. Magner. "Optimization and scheduling for automotive powertrains." In Proceedings of the 2004 American Control Conference. IEEE, 2004. http://dx.doi.org/10.23919/acc.2004.1383943.

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Lagerberg, Adam, and Bo S. Egardt. "Backlash gap position estimation in automotive powertrains." In 2003 European Control Conference (ECC). IEEE, 2003. http://dx.doi.org/10.23919/ecc.2003.7085308.

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Stobart, R. K. "Engine and control system modelling to reduce powertrain development risk." In IEE Colloquium on System Control Integration and Rapid Prototyping in the Automotive Industry. IEE, 1997. http://dx.doi.org/10.1049/ic:19971340.

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