Research on Simulation of Regenerative Braking System Based on Actual Driving Cycle

Authors

  • Tuan Tung Duong HCMC University of Technology and Education (HCMUTE), Vietnam
  • Phuoc Son Huynh Ho Chi Minh City University of Technology and Education, Vietnam
  • Duong Anh Duy Ho Ho Chi Minh City University of Technology and Education, Vietnam
  • Quang Thanh Ngo Ho Chi Minh City University of Technology and Education, Vietnam

Corressponding author's email:

tungdt@hcmute.edu.vn

DOI:

https://doi.org/10.54644/jte.76.2023.1271

Keywords:

Hybrid Electric Vehicle (HEV), Electric Vehicle (EV), Regenerative Braking System (RBS), State Of Charge (SOC), Fuel Consumption (FC)

Abstract

Currently, the regenerative braking system is a system that helps reduce fuel consumption of Hybrid Electic Vehicle (HEV). The braking or decelerating is the process by which the vehicle's inertia energy is converted into electrical energy to recharge the battery. The recovered energy depends on the vehicle's operating conditions on different types of roads. In this study, the author will build the driving cycle on different roads by experiment such as: in the city, highways and intercity roads. That driving cycle is the input signal in the simulation model to study and calculate the parameters of the regenerative braking process as well as the recovered energy and fuel consumption of the Hybrid vehicle. The simulation model was built based on Toyota Cross Hybrid parameters with simulation results shows that the energy recovered in the city road is higher than in the suburban and intercity roads. The vehicle's fuel consumption is from 4.9 to 5.4 [liters / 100km] depending on the road condition.

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Author Biographies

Tuan Tung Duong, HCMC University of Technology and Education (HCMUTE), Vietnam

Duong Tuan Tung has received his B.E, M.E, and Ph.D degree in Automotive Engineering from HCMC University of Technology and Education (HCMUTE) in 2005, 2010 and 2020. He currently works at Faculty of International Education, HCMUTE. His research interest includes powertrain system, automotive control system and regenerative braking system.

Phuoc Son Huynh, Ho Chi Minh City University of Technology and Education, Vietnam

Huynh Phuoc Son has received his B.E, M.E degree in Automotive Engineering from HCMC University of Technology and Education (HCMUTE) in 1995 and 2004, in 2018, Ph.D dgree in Transportation Mechanical Engineering from Da Nang University, Vietnam. He currently works at Faculty of Vehicle and Energy Engineering, HCMC University of Technology and Education. His research interest includes powertrain system, automotive control system and Application dual fuel CNG-Diesel on internal combustion engine.

Duong Anh Duy Ho, Ho Chi Minh City University of Technology and Education, Vietnam

Ho Duong Duy Anh. He is a third year student in Automotive Engineering major at HCMC University of Technology and Education

Quang Thanh Ngo, Ho Chi Minh City University of Technology and Education, Vietnam

Ngo Quang Thanh has received the B.E degree in Automotive Engineering from HCMC University of Technology and Education (HCMUTE) in 2005. He currently is a graduate student at Faculty of Vehicle and Energy Engineering, HCMC University of Technology and Education

References

H. Y. Hwang and J. S. Chen, “Optimized Fuel Economy Control of Power-Split Hybrid Electric Vehicle with Particle Swarm Optimization,” Department of Vehicle Engineering, vol. 13, no. 9, p. 2278, doi:10.3390/en13092278.

Toyota, “2022 Corolla Cross Owner's Manual (OM0A010U),” 31 May 2022.

R. Rajamani, “Vehicle Dynamics,” Springer, New York, Dordrecht, Heidelberg, London, 2012, pp. 87-91.

P. Clarke, T. Muneer, and K. Cullinane, “Cutting vehicle emissions with regenerative braking,”.

Jmdonev, “Revision as of 21:17, 14 April 2018,” https://energyeducation.ca/wiki/index.php?title=Miles_per_gallon_gasoline_equivalent&direction=next&oldid=5848, 20 Aug. 2022.

Published

28-04-2023

How to Cite

[1]
T. T. Duong, P. S. Huynh, D. A. D. Ho, and Q. T. Ngo, “Research on Simulation of Regenerative Braking System Based on Actual Driving Cycle”, JTE, vol. 18, no. 2, pp. 76–85, Apr. 2023.

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Research Article

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