Modelling, Simulation And Speed Control Of Electric Vehicle

Modelling, Simulation And Speed Control Of Electric Vehicle

This thesis presents a simulation of an Electric Vehicle using MATLAB-Simulink software. The simulation is made by utilizing a 5 degree of fr dom (5-DOF) vehicle longitudinal model and a brushless direct current motor (BLDC) as the electric power train system In order to strengthen the study and to...

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Main Author: Saahari, Farahanizan
Format: Thesis
Language:English
English
Published: 2020
Subjects:
T Technology (General)
Online Access:http://eprints.utem.edu.my/id/eprint/25561/1/Modelling%2C%20Simulation%20And%20Speed%20Control%20Of%20Electric%20Vehicle.pdf
http://eprints.utem.edu.my/id/eprint/25561/2/Modelling%2C%20Simulation%20And%20Speed%20Control%20Of%20Electric%20Vehicle.pdf
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id my-utem-ep.25561
record_format uketd_dc
institution Universiti Teknikal Malaysia Melaka
collection UTeM Repository
language English
English
advisor Ahmad, Fauzi
topic T Technology (General)
T Technology (General)
spellingShingle T Technology (General)
T Technology (General)
Saahari, Farahanizan
Modelling, Simulation And Speed Control Of Electric Vehicle
description This thesis presents a simulation of an Electric Vehicle using MATLAB-Simulink software. The simulation is made by utilizing a 5 degree of fr dom (5-DOF) vehicle longitudinal model and a brushless direct current motor (BLDC) as the electric power train system In order to strengthen the study and to enhance the reliability of the results, validation was made to the 5-DOF vehicle model by adopting several vehicle behaviours and characteristics of Proton Iswara used by previous researchers. The validation tests performed in this study are acceleration then braking tests at 40 and 60 km/h, while the parameters are vehicle speed, tire longitudinal slip and wheel speed of the vehicle. By using the validated vehicle model and the electric power train system, a nonlinear-proportional integral controller was designed for the electric vehicle speed control. Several simulation tests were performed by employing the same reference speed as the vehicle validation and another reference speed proposed by Society of Automotive Engineer (SAE), namely the New European Driving Cycle (NEDC) and Worldwide Harmonised Light Vehicle Test Procedure (WLTP). Finally, the potential benefits of the proposed EV system together with the proposed speed control method were investigated. The speed control of the proposed system with an appropriate controller was demonstrated to be very promising.
format Thesis
qualification_name Master of Philosophy (M.Phil.)
qualification_level Master's degree
author Saahari, Farahanizan
author_facet Saahari, Farahanizan
author_sort Saahari, Farahanizan
title Modelling, Simulation And Speed Control Of Electric Vehicle
title_short Modelling, Simulation And Speed Control Of Electric Vehicle
title_full Modelling, Simulation And Speed Control Of Electric Vehicle
title_fullStr Modelling, Simulation And Speed Control Of Electric Vehicle
title_full_unstemmed Modelling, Simulation And Speed Control Of Electric Vehicle
title_sort modelling, simulation and speed control of electric vehicle
granting_institution Universiti Teknikal Malaysia Melaka
granting_department Faculty Of Mechanical Engineering
publishDate 2020
url http://eprints.utem.edu.my/id/eprint/25561/1/Modelling%2C%20Simulation%20And%20Speed%20Control%20Of%20Electric%20Vehicle.pdf
http://eprints.utem.edu.my/id/eprint/25561/2/Modelling%2C%20Simulation%20And%20Speed%20Control%20Of%20Electric%20Vehicle.pdf
_version_ 1747834139767209984
spelling my-utem-ep.255612022-01-06T12:54:16Z Modelling, Simulation And Speed Control Of Electric Vehicle 2020 Saahari, Farahanizan T Technology (General) TL Motor vehicles. Aeronautics. Astronautics This thesis presents a simulation of an Electric Vehicle using MATLAB-Simulink software. The simulation is made by utilizing a 5 degree of fr dom (5-DOF) vehicle longitudinal model and a brushless direct current motor (BLDC) as the electric power train system In order to strengthen the study and to enhance the reliability of the results, validation was made to the 5-DOF vehicle model by adopting several vehicle behaviours and characteristics of Proton Iswara used by previous researchers. The validation tests performed in this study are acceleration then braking tests at 40 and 60 km/h, while the parameters are vehicle speed, tire longitudinal slip and wheel speed of the vehicle. By using the validated vehicle model and the electric power train system, a nonlinear-proportional integral controller was designed for the electric vehicle speed control. Several simulation tests were performed by employing the same reference speed as the vehicle validation and another reference speed proposed by Society of Automotive Engineer (SAE), namely the New European Driving Cycle (NEDC) and Worldwide Harmonised Light Vehicle Test Procedure (WLTP). Finally, the potential benefits of the proposed EV system together with the proposed speed control method were investigated. The speed control of the proposed system with an appropriate controller was demonstrated to be very promising. 2020 Thesis http://eprints.utem.edu.my/id/eprint/25561/ http://eprints.utem.edu.my/id/eprint/25561/1/Modelling%2C%20Simulation%20And%20Speed%20Control%20Of%20Electric%20Vehicle.pdf text en public http://eprints.utem.edu.my/id/eprint/25561/2/Modelling%2C%20Simulation%20And%20Speed%20Control%20Of%20Electric%20Vehicle.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=119692 mphil masters Universiti Teknikal Malaysia Melaka Faculty Of Mechanical Engineering Ahmad, Fauzi 1. Abas, M. A., Rajoo, S. and Zainal Abidin, S. F. (2018) 'Development of Malaysian urban drive cycle using vehicle and engine parameters', Transportation Research Part D: Transport and Environment. Elsevier, 63, pp. 388-403. 2. Allu, N. and Toding, A. (2020) 'Tuning with Ziegler Nichols Method for Design PID Controller at Rotate Speed DC Motor', !OP Conference Series: Materials Science and Engineering, 846(1), pp. 1-7. 3. Annonymious, 2019. Malaysia's C02 Emmissions among Highest in ASEAN, Low Carbon Mobility Solutions Needed [online]. Available at https://www.mgtc.my/. [Accessed on 30 November 2020]. 4. Aparow, V. R. et al. (2013) 'Modelling and PID .control of antilock braking system with wheel slip reduction to improve braking performance', International Journal of Vehicle Safety, 6(3), pp. 265-296. 5. Bai, H. et al. (2019) 'Real-Time Modeling and Simulation of Electric Vehicle Battery Charger on FPGA', IEEE International Symposium on Industrial Electronics. IEEE, 2019- June, pp. 1536-1541. 6. Butler, K. L., Ehsani, M. and Karnath, P. (1999) 'A Matlab-based modeling and simulation package for electric and hybrid electric vehicle design - Vehicular Technology, IEEE Transactions on', 48(6), pp. 1770-1778. 7. Chang, N., Baek, D. and Hong, J. (2015) 'Power consumption characterization, modeling and estimation of electric vehicles', IEEE/ACM International Conference on ComputerAided Design, Digest a/Technical Papers, ICCAD, January, pp. 175-182. 8. Chau, K. T. (2014) 'Pure Electric Vehicles', Alternative Fuels and Advanced Vehicle Technologies for Improved Environmental Performance: Towards Zero Carbon Transportation, Elsevier. Inc pp. 655-684. 9. F. Ahmad, S. A. Mazlan, H. Zamzuri, H. Jamaluddin, K. H. and M. S. (2014) 'Modelling And Validation Of The Vehicle Longitudinal Model', International Journal ofAutomotive and Mechanical Engineering (!JAME), December, pp. 2042-2056. 10. G. A. Munoz-Hernandez, M.A. Gerardo G. Jose Fermi and P. Edgar (2020) 'Fractional order PI-based control applied to the traction system ofan electric vehicle (EV)', Applied Sciences (Switzerland), 10(1). 11. Hegazy, S. and Sharaf, A. (2013) 'Ride Comfort Analysis Using Quarter Car Model', International Conference on Aerospace Sciences and Aviation Technology, 15(Aerospace Sciences), pp. 1-11. IEA (2020), C02 Emissions from Fuel Combustion: Overview, IEA, Paris 12. Kaya, I. (2003) 'A PI-PD controller design for control ofunstable and integrating processes', ISA Transactions, 42(1), pp. 111-121. 13. Larminie. J and Lowry. J, 2003. Electric Vehicle Technology Explained, Sussex: John Wiley & Sons Ltd. 14. Leitman. S and Brant. B, 2009. Build Your Own Electric Vehicle, 2nd Edition, New York: McGraw Hill 15. M. Ali, H. Kamel, A. M. Sharaf, and S. A.H. (2014) 'Modeling and simulation of hybrid electric vehicles using HEVSIM and ADVISOR', 15th International Conference on Applied Mechanics and Mechanical Engineering, 2014, (May). 16. Massey, S. (2016) 'Modeling, Simulation and Control ofhybrid electric vehicle drive while minimizing energy input', Michigan Technological University, pp. 16-17 21-43. 17. McDonald, D. (2012) 'Electric Vehicle Drive Simulation with MATLAB/Simulink', NorthCentral Section Conference, American Societyfor Engineering Education, pp. 147-151. Najam. R, 2018. Numerical Approach to Studying Vehicle Dynamics with a Half Car 18. Suspension Model. [online] Available at: nrsyed.com/tag/numericalmethods/page/3/ [Accessed on 30 November 2020]. 19. Nian, X., Peng, F. and Zhang, H. (2014) 'Regenerative braking system of electric vehicle driven by brushless DC motor', IEEE Transactions on Industrial Electronics, 61(10), pp. 5798-5808. / 20. Nouh A., Chami M., Djerdir A., Bagdouri M.E., (2006) 'Eleves: A new software tool for electric vehicle modelling and simulation', 22nd International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exposition, EVS 2006, 1, pp. 334-345. 21. Romeo 0., Alessandro A. and Nikita E. B, "Nonlinear PI control of uncertain systems: An alternative to parameter adaptation", System Control Letter, vol. 47, pp. 259-278, 2002 22. Rahmat S., Ahmad F., M.Y. Ahmad Kamal, V. R. A. and N. T. (2013) 'Modelling And Torque Tracking Control Of Permanent Magnet Synchronous Motor For Hybrid Electric Vehicles', International Journal ofAutomotive and Mechanical Engineering (!JAME) (7) June, pp. 955-967. 23. Sandhu, F., Selamat, H. and Mahalleh, V. B. S. (2016) 'Review of modem vehicle modelling', Journal of Telecommunication, Electronic and Computer Engineering, 8(11), pp. 111-117. 24. Shukla, A. (2012) 'Modelling and Simulation ofHybrid Electric Vehicles', (May), pp. 23- 25. 25. Siegler, B. (2002). Lap time simulation for racing car design. SAE Technical Paper. The University of Leeds. 26. Siew Weng, 2018. Malaysia to Have Own Driving Cycle For Vehicle Fuel Consumption [online] Available at: carlist.my/news/. [Accessed on 22 Disember 2020]. / 27. Soong, M. F., Ramli, R. and Saifizul, A. (2017) 'Between simplicity and accuracy: Effect of adding modeling details on quarter vehicle model accuracy', PLoS ONE, 12(6), pp. 1-23. 28. Varga, B. 0., Moldovanu, D., Mariasiu, F., and Iclodean, C. D. (2016). Simulation in the Loop of Electric Vehicles. In Modeling and Simulation for Electric Vehicle Applications. InTech., pp. 1-22. 29. Vighneswaran, G. and Nair, K. S. (2018) 'Speed control of Electric vehicle with Sliding Mode Controller', International Research Journal of Engineering and Technology, pp. 2395-56. 30. Zhang, S. et al. (2018) 'Research on control strategy of handling stability for fo1mula SAE (FSAE) pure electric racing car', Australian Journal ofMechanical Engineering, 16(supl), pp. 61-67.

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