Modelling and Simulation of Powertrain System for Electric Car

S. M. E. Fadul, I. B. Aris, N. Misron, I. A. Halin and A. K. M. Iqbal

Abstract: It is widely believed that electric cars hold the key toward a greener mode of transport in the wake of an increased global energy consumption and greenhouse gas emission. However, on the downside, electric vehicles suffer from limited drive range and insufficient battery pack energy. Due to limited energy storage, effective power utility and energy efficiency are regarded as important for battery powered automobiles. To increase energy saving and provide better electric motor efficiency of an electric car, control algorithms such as field-oriented control strategy and space vector modulation can be used. This paper presents a study using Matlab/Simulink on vehicle parameters based on modelling and simulation of an electric car dynamics when integrated with an induction motor powered by Li-ion battery. It shall also describe a modelling of the electric powertrain leading to an analysis of on-board-to- wheel energy conversion. To achieve the model goals, the vehicle powertrain was simulated and the results further confirmed that both vehicle torque and speed correlate with an electric car acceleration index.

Keywords:Electric car, powertrain, induction motor, field oriented control

References

Affanni, A., Bellini, A., Franceschini, G., Guglielmi, P., & Tassoni, C. (2005). Battery choice and management for new-generation electric vehicles. IEEE Transactions on Industrial Electronics, 5(52), 1343-1349.

Campanari, S., Manzolini, G., & Garcia de la Iglesia, F. (2009). Energy analysis of electric vehicles using batteries or fuel cells through well-to-wheel driving cycle simulations. Journal of Power Sources, 186(2), 464-477. doi: 10.1016/j.jpowsour.2008.09.115

Eshani, M., Gao, Y., Gay, S., & Emadi, A. (2010). Modern electric, hybrid electric and fuel cell vehicles: Fundamentals, theory, and design (2nd ed). Florida, US: CRC Press. doi: 10.1201/9781420037739

Fadul, S.M.E., Aris, I., Misron, N., Halin, I.A., & Iqbal, A.K.M.P. (2017). Modelling and simulation of electric drive vehicle based on Space Vector Modulation technique and Field Oriented Control strategy. Paper presented at 2017 International Conference on Communication, Control, Computing and Electronics Engineering (ICCCCEE), Khartoum, Sudan. doi: 10.1109/ICCCCEE.2017.7867667

Kroeze, R.C., & Krein, P.T. (2008). Electrical battery model for use in dynamic electric vehicle simulations. Paper presented at Power Electronics Specialists Conference (PESC), Rhodes, Greece. doi: 10.1109/PESC.2008.4592119

Kushnir, D., & Sandén, B. A. (2011). Multi-level energy analysis of emerging technologies: A case study in new materials for lithium ion batteries. Journal of Cleaner Production, 19(13), 1405- 1416. doi: 10.1016/j.jclepro.2011.05.006

Marmaras, C., Xydas, E., & Cipcigan, L. (2017). Simulation of electric vehicle driver behaviour in road transport and electric power networks. Transportation Research Part C: Emerging Technologies, 80, 239-256. doi: 10.1016/j.trc.2017.05.004

Mohd, T.A.T., Hassan, M.K., & A. Aziz, W.M.K. (2015a). Mathematical modeling and simulation of an electric vehicle. Journal of Mechanical Engineering and Sciences, 8(June), 1312-1321. doi: 10.15282/jmes.8.2015.6.0128

Mohd, T.A.T., Hassan, M.K., Aris, I., Soh, A.C., Ibrahim, B.S.K.K., & Hat, M.K. (2015b). Simulation based study of electric vehicle parameters. ARPN Journal of Engineering and Applied Sciences, 10(19), 8541-8546.

Pan, L., & Zhang, C. (2016). An integrated multifunctional bidirectional AC/DC and DC/DC converter for electric vehicles applications. Energies, 9(7), 493. doi: 10.3390/en9070493

Schmalstieg, J., Käbitz, S., Ecker, M., & Sauer, D.U. (2014). From accelerated aging tests to a lifetime prediction model: Analyzing Lithium-ion batteries. Paper presented at 27th World Electric Vehicle Symposium and Exhibition (EVS 2014), Barcelona, Spain. doi: 10.1109/EVS.2013.6914753

Sciarretta, A., De Nunzio, G., & Ojeda, L.L. (2015). Optimal ecodriving control: Energy-efficient driving of road vehicles as an optimal control problem. IEEE Control Systems, 35(5), 71-90. doi: 10.1109/MCS.2015.2449688

Tremblay, O., & Dessaint, L.A. (2009). Experimental validation of a battery dynamic model for EV applications. World Electric Vehicle Journal, 3(1), 289-298.