DESIGN AND DYNAMICS MODELING FOR ELECTRIC VEHICLE
Maria TOMASIKOVA
tomasikovam@fstroj.uniza.sk* University of Zilina, Faculty of Mechanical Engineering, Univerzitná 1, 010 26 Žilina, (Slovakia)
Frantisek BRUMERČÍK
* University of Zilina, Faculty of Mechanical Engineering, Univerzitná 1, 010 26 Žilina (Slovakia)
Aleksander NIEOCZYM
Lublin University of Technology, Faculty of Mechanical Engineering, Nadbystrzycka 36, 20-618 Lublin (Poland)
Abstract
This paper descript software for vehicle simulation and mathematical models that describe the motion of the vehicle. A dynamic simulation model of vehicle was developed using Matlab/Simulink and SimDriveline toolbox. The model has a configurable structure that is suitable to simulation with multiple levels. The powertrain system model developed using Simulink and SimDrivline could also be used as a generic, modular and flexible vehicle modeling platform to support the integration of powertrain design and control system optimization.
Keywords:
mathematical model of vehicle, multibody system simulation, dynamic simulationReferences
Fang, Ch., Cao, Z., Ektesabi, M., Kapoor, A., & Sayem, A. (2013). Driveline modelling analysis for active driveability control. In Systems, Process & Control (ICSPC), 2013 IEEE Conference. Kuala Lumpur, Malaysia: IEEE. https://doi.org/10.1109/SPC.2013.6735117
DOI: https://doi.org/10.1109/SPC.2013.6735117
Google Scholar
Jeong, H., & Lee, K. (2000). Friction coefficient, torque estimation, smooth shift control law for an automatic power transmission. KSME International Journal, 14(5), 508–517. https://doi.org/10.1007/BF03185653
DOI: https://doi.org/10.1007/BF03185653
Google Scholar
Mousavi, M., Saman, R., Pakniyat, A., & Boulet, B. (2014). Dynamic modeling and controller design for a seamless two-speed transmission for electric vehicles. Control Applications (CCA), 2014 IEEE Conference. Juan Les Antibes, France: IEEE. https://doi.org/10.1109/CCA.2014.6981411
DOI: https://doi.org/10.1109/CCA.2014.6981411
Google Scholar
Kucera, L., Lukac, M., Jurak, L., & Brumercik, F. (2009). Hydromechanical automatic transmission. Communications, 11(2), 33–35.
DOI: https://doi.org/10.26552/com.C.2009.2.33-35
Google Scholar
Pacejka, H. (2005). Tyre and vehicle dynamics. Elsevier.
Google Scholar
Pawlus, W., Hovland, G., & Choux, M. (2015). Drivetrain design optimization for electrically actuated systems via mixed integer programming. In Industrial Electronics Society, IECON 2015 – 41st Annual Conference of the IEEE. Yokohama, Japan: IEEE. https://doi.org/10.1109/IECON.2015.7392307
DOI: https://doi.org/10.1109/IECON.2015.7392307
Google Scholar
Cheng, R., Dong, J., & Dong, Z. (2013). Modelling 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 (1, pp. V001T01A009). Portland, Oregon, USA. https://doi.org/10.1115/DETC2013-13619
DOI: https://doi.org/10.1115/DETC2013-13619
Google Scholar
Tomasikova, M., Nieoczym, A., & Brumercik, F. (2015). Vehicle drivetrain modelling. In Transcom Proceedings 2015, 11-th European Conference of Young Researches and Scientists (pp.265-268). Zilina, Slovak Republic.
Google Scholar
Tomasikova, M., Brumercik, F., & Nieoczym, A. (2015). Vehicle simulation model creation. LOGI, Scientific Journal on Transport and Logistics, 6(1), 130–136.
Google Scholar
Wallmark, O., & Nybacka M. (2014). Design and implementation of an experimental research and concept demonstration vehicle. In Vehicle Power and Propulsion Conference (VPPC), 2014 IEEE. Coimbra, Portugal: IEEE. https://doi.org/10.1109/VPPC.2014.7007042
DOI: https://doi.org/10.1109/VPPC.2014.7007042
Google Scholar
Zhou, J., Shen, X., & Liu, D. (2014). Modeling and simulation for electric vehicle powertrain controls. In Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo. Beijing, China: IEEE. https://doi.org/10.1109/ITEC-P.2014.6940824
Google Scholar
Authors
Maria TOMASIKOVAtomasikovam@fstroj.uniza.sk
* University of Zilina, Faculty of Mechanical Engineering, Univerzitná 1, 010 26 Žilina, Slovakia
Authors
Frantisek BRUMERČÍK* University of Zilina, Faculty of Mechanical Engineering, Univerzitná 1, 010 26 Žilina Slovakia
Authors
Aleksander NIEOCZYMLublin University of Technology, Faculty of Mechanical Engineering, Nadbystrzycka 36, 20-618 Lublin Poland
Statistics
Abstract views: 286PDF downloads: 8
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in Applied Computer Science are open-access and distributed under the terms of the Creative Commons Attribution 4.0 International License.
Similar Articles
- Rumesh Edirimanne, W Madushan Fernando, Peter Nielsen, H. Niles Perera, Amila Thibbotuwawa, OPTIMIZING UNMANNED AERIAL VEHICLE BASED FOOD DELIVERY THROUGH VEHICLE ROUTING PROBLEM: A COMPARATIVE ANALYSIS OF THREE DELIVERY SYSTEMS. , Applied Computer Science: Vol. 20 No. 1 (2024)
- Sahar ZAMANI KHANGHAH, Keivan MAGHOOLI, EMOTION RECOGNITION FROM HEART RATE VARIABILITY WITH A HYBRID SYSTEM COMBINED HIDDEN MARKOV MODEL AND POINCARE PLOT , Applied Computer Science: Vol. 20 No. 1 (2024)
- Jarosław GIL, Andrzej POLAŃSKI, APPLICATION OF GILLESPIE ALGORITHM FOR SIMULATING EVOLUTION OF FITNESS OF MICROBIAL POPULATION , Applied Computer Science: Vol. 18 No. 4 (2022)
- Łukasz GRABOWSKI, Arkadiusz DROZD, Mateusz KARABELA, Wojciech KARPIUK, AERODYNAMIC AND ROLLING RESISTANCES OF HEAVY DUTY VEHICLE. SIMULATION OF ENERGY CONSUMPTION , Applied Computer Science: Vol. 20 No. 3 (2024)
- Sławomir KUKLA, Marek SMETANA, A SIMULATION EXPERIMENT AND MULTI-CRITERIA ASSESSMENT OF MANUFACTURING PROCESS FLOW VARIANTS TESTED ON A COMPUTER MODEL , Applied Computer Science: Vol. 13 No. 2 (2017)
- Janani DEWMINI, W Madushan FERNANDO, Izabela Iwa NIELSEN, Grzegorz BOCEWICZ, Amila THIBBOTUWAWA, Zbigniew BANASZAK, IDENTIFYING THE POTENTIAL OF UNMANNED AERIAL VEHICLE ROUTING FOR BLOOD DISTRIBUTION IN EMERGENCY REQUESTS , Applied Computer Science: Vol. 19 No. 4 (2023)
- Wojciech DANILCZUK, THE USE OF SIMULATION ENVIRONMENT FOR SOLVING THE ASSEMBLY LINE BALANCING PROBLEM , Applied Computer Science: Vol. 14 No. 1 (2018)
- Rowell HERNANDEZ, Robert ATIENZA, CAREER TRACK PREDICTION USING DEEP LEARNING MODEL BASED ON DISCRETE SERIES OF QUANTITATIVE CLASSIFICATION , Applied Computer Science: Vol. 17 No. 4 (2021)
- Michał BIAŁY, Marcin SZLACHETKA, CRANK-PISTON MODEL OF INTERNAL COMBUSTION ENGINE USING CAD/CAM/CAE IN THE MSC ADAMS , Applied Computer Science: Vol. 13 No. 1 (2017)
- Tytus TULWIN, MODELLING OF A LARGE ROTARY HEAT EXCHANGER , Applied Computer Science: Vol. 13 No. 1 (2017)
You may also start an advanced similarity search for this article.