Dynamic Simulation Model of a Hybrid Electric ATV

Authors

  • Zainab Asus School of Mechanical Engineering, Faculty of Engineering Universiti Teknologi Malaysia 81310 UTM Johor Bahru Johor
  • Ahmad Zaki Abdillah School of Mechanical Engineering, Faculty of Engineering Universiti Teknologi Malaysia 81310 UTM Johor Bahru Johor
  • Dr Zul-hilmi Bin Che Daud Universiti Teknologi Malaysia

DOI:

https://doi.org/10.11113/jtse.v8.168

Keywords:

ATV, Battery, EMR Method, Hybrid Electric, State-Of-Charge

Abstract

The application of electric vehicles has its own disadvantages which can influence the critical performance of the vehicles such as the limited capacity of the battery that play a major role in the range of mileage covered. Hence, a hybrid electric All-Terrain-Vehicle (HEATV) is a best solution as the addition of gasoline-powered engine and electric generator can extend the range covered by an electric ATV. In order to determine the effectiveness of the hybrid configuration, a dynamic simulation model need to be developed by Energetic Macroscopic Representation Method (EMR) to analyze the performance of the ATV. The EMR method involve the causal ordering graph and action-reaction principle together with Inversion-based Control to develop a control structure of a HEATV. The simulation test will be run on the original and modifications of the ATV where the original one only depends on EM to drive the vehicle whereas the modified vehicle include the ICE and electric generator for charging process. The simulation results of the original ATV show the decreasing trend in terms of battery state-of-charge. However, after the modifications have been done the battery state-of-charge show the increasing trend and thus, extend the range of mileage covered by an ATV.

References

Nazanin Asgari, Raziyeh Shamsipour, Arameh Askari et al “Review on CO2 Emission from Transportation Sector in Malaysia” IOSR Journal of Environmental Science, Toxicology and Food Technology ,Volume 9, Issue 5 Ver. I, PP 61-70, May. 2015.

Gerhard Kopp a, Gundolf Kopp a, Horst E. Friedrich et al “New approach for a comprehensive method for urban vehicle concepts with electric powertrain and their necessary vehicle structures” Transportation Research Procedia 14, pp 3686 – 3695, 2016.

Badin F, Scordia J, Trigui R et al “Hybrid electric vehicles energy consumption decrease according to drive train architecture, energy management and vehicle use.” IET Hybrid Veh Conf 2006, pp 213–223, 2006.

Eshani M, Gao Y, Gay S, Emadi A, “Modern electric, hybrid electric and fuel cell vehicles, 2nd edn.” CRC Press, Boca Raton, 2010.

Jennings PA, Jones RP, McGordon A, “Generalised fuzzylogic-based power management strategy for various hybrid electric vehicle powertrain architectures.” UKACC Int Conf Control, pp 197–202, 2010.

Shen C, Shan P, Gao T, “A comprehensive overview of hybrid electric vehicles.” Int J Veh Technol, 2011.

Chau KT, Wong YS, Chan CC, “An overview of energy sources for electric vehicles.” Energy Convers Manag, vol 40, pp 1021–1039, 1999.

Kuperman A, Aharon I, Kara A, Malki S, “A frequency domain approach to analyzing passive battery-ultracapacitor hybrids supplying periodic pulsed current loads.” Energy Convers Manag, no 52, pp 3433–3438, 2011

T. Letrouve, P. Delarue, and A. Bouscayrol, “Modelling and Control of a Double Parallel Hybrid Electric Vehicle Using Energetic Macroscopic Representation,” 2009 8th Int. Symp. Adv. Electromechanical Motion Syst. Electr. Drives Jt. Symp. ELECTROMOTION 2009, no. July, pp. 1–3, 2009.

W. Lhomme, A. Bouscayrol, and P. Barrade, “SImulation of a Series Hybril Electric Vehicle based on Energetic Macroscopic Pepresentation,” Ieee-Isie, pp. 1525–1530, 2004.

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Published

2022-03-09

How to Cite

Asus, Z., Abdillah, A. Z., & Dr Zul-hilmi Bin Che Daud. (2022). Dynamic Simulation Model of a Hybrid Electric ATV. Journal of Transport System Engineering, 8(2), 1–7. https://doi.org/10.11113/jtse.v8.168

Issue

Section

Transport System Engineering

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