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18 Feb 2021
26 Feb 2020
Informatics, Culture and Technology
20 May 2019
Informatics, Culture and Technology
COMPUTER SIMULATION OF ELECTRIC VEHICLE ACCELERATION PROCESSES WITH DIFFERENT POSITIONS OF THE MASS CENTER
Due to the electrification of modern vehicles the role of the electric drive is growing as the main mover. In conditions of increasing requirements for the safety controllability and energy efficiency of a vehicle on electric traction, it is actual to take into account the dynamic properties of a vehicle in various driving modes when developing an automatic control system. In the work it is investigated the influence of the mass center position on the redistribution of forces during acceleration on a straight-line section. Taking into consideration the position of the mass center in the control system allows redistributing the desired moment to the wheels with better adhesion to the surface, which increases the safety and controllability of the vehicle, as well as minimizes energy costs on wheels with the worst adhesion. The aim of the work is to investigate the influence of the mass center position on the dynamics of a vehicle with full, rear and front wheel drive using computer simulation. The mathematical description includes analytical expressions for the redistribution of the support reactions for each of the wheels, which makes it possible, on their basis, to carry out computer simulation of the electric vehicle acceleration on a straight-line section. For the indicated types of vehicle drives, a computer model has been developed that includes, in the automatic control system for torque redistribution, the coordinates of the mass center position, which are converted on the basis of analytical expressions into the physical parameters of the system. Computer simulation of acceleration from zero to one hundred km/h with full pressing of the accelerator pedal for nine different positions of the mass center and three types of drive was carried out. Data were obtained on the change in accelerations, support reactions and torque of wheels during acceleration at various mass center positions. Based on the results obtained, the most preferable coordinates of the mass center for each type of drive from the point of view of the acceleration dynamics on a straight section were determined. The developed computer model can be used to study the dynamics of an electric vehicle when cornering, as well as to study energy indicators in all dynamic driving modes.
Olena S. Nazarova
, Cand. of Tech. Sciences, Associate Professor
( email@example.com )
Victor V. Brylystyi
, postgraduate student
( firstname.lastname@example.org )
Volodymyr V. Osadchyy
, Cand. of Tech. Sciences, Associate Professor
( email@example.com )
computer simulation; electric vehicle; electric drive; position of mass center; acceleration process
1. Klepikov, V. B. & Semikov, A. V. “Energy efficiency of electric vehicle regenerative mode”. Tekhnichna elektrodynamika, Kyiv, Ukraine: 2017; No. 6: 36–42 (in Russian). DOI: https://doi.org/10.15407/ techned2017.06.036
2. Sadovoi, O., Nazarova, O., Bondarenko, V., Pirozhok, A., Hutsol, Т., Nurek, T. & Glowacki, Sz. “Modeling and research of electromechanical systems of cold rolling mills”. Monograph. Krakow, Ukraine: Publ. Traicon. 2020. 138 p.
3. Nazarova, O. S. & Meleshko, I. A. “Experimental research and computer modeling of the obstruction occurrence in the pneumatic conveying systems peculiarities”. Herald of Advanced Information Technology, Odessa, Ukraine: Publ, Nauka i Tekhnika. 2020; Vol. 3 No. 1: 428–439. DOI: 10.15276/hait 01.2020.9.
4. Nazarova, O., Osadchyy, V. & Shulzhenko, S. “Accuracy improving of the two-speed elevator positioning by the identification of loading degree”. International Conference “Modern Electrical and Energy Systems” (MEES- September 23–25,2019), Kremenchuk Mykhailo Ostrohradskyi National University. Kremenchuk, Ukraine: 2019. p. 50–53. DOI: 10.1109/MEES.2019.8896414.
5. Nazarova, Olena. “Computer Modeling of Multi-Mass Electromechanical Systems”. The Third International Workshop on Computer Modeling and Intelligent Systems (CMIS-2020). 2020; Vol. 2608: 489–498.
6. Shchur, I. & Biletskyi, Y. “Passivity-Based Control of Hybrid Energy Storage System with Common Battery and Modular Multilever DC-DC Converter-Based Supercapacitor Packs”. IEEE 20th International Conference on Computational Problems of Electrical Engineering (CPEE), Lviv-Slavske, Ukraine: 2019. p. 1–6. DOI: 10.1109/CPEE47179.2019.8949174.
7. Shi Shuanglong, Yan Zhe, Li Shuaihua, Chen Yun, Xing Yuheng, Liu Bo, Ji Fengtao & Xie Huan. “Study on Group Control Charging System and Cluster Control Technology of Electric Vehicle”. 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2), Beijing: 2018. p. 1–8. DOI: 10.1109/EI2.2018.8582178.
8. Muhammad Sifatul Alam Chowdhury, Al Mahmudur Rahman & Khandakar Abdulla Al Mamun Khandakar. “Modelling and simulation of power system of battery, solar and fuel cell powered Hybrid Electric vehicle”. 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT). Dhaka: 2016. p. 1–6. DOI: 10.1109/CEEICT.2016.7873126.
9. Yaich, M., Hachicha, M. R. & Ghariani, M. “Modeling and simulation of electric and hybrid vehicles for recreational vehicle”. 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), Monastir. 2015. p. 181–187. DOI: 10.1109/STA.2015.7505098.
10. Voliansky, R., Sadovoi, O., Sokhina, Y. & Volianska, N. “Active Suspension Control System”. IEEE International Conference on Modern Electrical and Energy Systems (MEES), Kremenchuk, Ukraine: 2019. p. 10–13. DOI: 10.1109/MEES.2019.8896419.
11. Marcincin, O. & Medvec, Z. “Active charging stations for electric cars”. 16th International Scientific Conference on Electric Power Engineering (EPE). Kouty nad Desnou. 2015. p. 444–447. DOI: 10.1109/EPE.2015.7161084.
12. Carlos Montero, David Marcos, Carlos Bordons et al. “Modeling and torque control for a 4-wheeldrive electric vehicle”. IEEE International Conference on Industrial Technology (ICIT). Seville: 2015. p. 2650–2655, doi:1109/ICIT.2015.7125488.
13. Korolev, V. V., Vasin, I. V. & Gapchenko, Y. A. “Energy-Efficient Car Electric Drive System”. IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), St. Petersburg and Moscow, Russian Federation: 2020. p. 690–692. DOI: 10.1109/EIConRus49466.2020.9039405.
14. Nazari, S., Middleton, R. J., Martz, J. & Stefanopoulou, A. G. “The elusive consequences of slow engine response on drive cycle fuel efficiency”. American Control Conference (ACC). Seattle, WA: 2017. p. 5379–5385. DOI: 10.23919/ACC.2017.7963791.
15. Felden, M., Bütterling, P., Jeck, P., Eckstein, L. & Hameyer, K. “Electric vehicle drive trains: From the specification sheet to the drive-train concept”. Proceedings of 14th International Power Electronics and Motion Control Conference EPE-PEMC 2010. Ohrid: 2010; S11-9-S11-16. DOI: 10.1109/EPEPEMC.2010.5606531.
16. Jandura, P., Břoušek, J. & Bukvic, M. “The concept of a highly efficient powertrain for an electric vehicle with respect to vehicle driving dynamics”. International Conference on Electrical Drives and Power Electronics (EDPE), Tatranska Lomnica. 2015. p. 422–429. DOI: 10.1109/EDPE.2015.7325332.
17. Hoehn, BR., Stahl, K., Gwinner, P. & Wiesbeck, F. “Torque-Vectoring Driveline for Electric Vehicles. In: SAE-China, FISITA (eds)”. Proceedings of the FISITA 2012 World Automotive Congress. Lecture Notes in Electrical Engineering. Berlin, Heidelberg: Publ. Springer. 2013; Vol 191. http://doi-org443.webvpn.fjmu.edu.cn/10.1007/978-3-642-33777-2_48.
18. Paula Pedret, Guillermo Bayona, Jonathan Webb, Christophe Moure & Sandro Boltshauser “Control Systems for High Performance Electric Cars”. World Electric Vehicle Journal. 2013; Vol. 6: 0088–0094. https://www.mdpi.com/2032-6653/6/1/88/pdf.
19. Wicaksono, A. & Prihatmanto, A. S. “Optimal control system design for electric vehicle”. 4th International Conference on Interactive Digital Media (ICIDM). Bandung: 2015. p. 1–6. DOI: 10.1109/IDM.2015.7516331.
20. Mazumder, H., Ektesabi, M. & Kapoor, A. “Effect of mass distribution on cornering dynamics of retrofitted EV”. IEEE International Electric Vehicle Conference, Greenville. 2012. p. 1–6. DOI: 10.1109/IEVC.2012.6183184.
21. Mazumder, H., Al Emran Hassan, M. M., Ektesabi, M. & Kapoor, A. “Performance analysis of EV for different mass distributions to ensure safe handling”. Energy Procedia 14. 2012. p. 949–954. DOI:10.1016/j.egypro.2011.12.887.
22. Cheng Lin, Xingqun Cheng, Hong Zhang & Xinle Gong. “Estimation of Center of Gravity Position for Distributed Driving Electric Vehicles Based on Combined H-EKF Method”. Energy Procedia 88. 2016. p. 970–977. DOI: 10.1016/j.egypro.2016.06.121.
23. Nussbaumer, P., Macek, C., Ploechl, M. & Wolbank, T. M. “Dynamics of four-wheel-drive electric vehicle during machine fault condition”. 15th European Conference on Power Electronics and Applications (EPE). 2013. p. 1–10. DOI: 10.1109/EPE.2013.6634476.
24. Hattori, Y., Koibuchi, K. & Yokoyama, T. “Force and moment control with nonlinear optimum distribution for vehicle dynamics”. 6th International Symposium on Advanced Vehicle Control. Hiroshima, Japan: 2002. p. 595–600.
25. Osadchyy, V. V., Nazarova, E. S. & Brylistyy, V.V. “The structure of the control system of a 4-drive power plant for electric vehicles”, Problems of Regional Energy (special issue) 2019; Vol. 1–2(41): 65–73 (in Russian). DOI: 10.5281/zenodo.3239150.
Received 15.08 .2020
Received after revision 14.09.2020
Vol. 3 № 3, 2020
7 May 2021
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