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2024 Vol.51, Issue 3 Preview Page

Engineering

Development of simulation model of an electric all-wheel-drive vehicle for agricultural work
Min Jong Park1
,
Hyeon Ho Jeon1
,
Seung Yun Baek1
,
Seung Min Baek1
,
Dong Il Kang1
,
Seung Jin Ma1
,
Yong Joo Kim12*
1Department of Smart Agricultural Systems, Chungnam National University, Daejeon 34134, Korea
2Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Korea
*Corresponding Author
1 September 2024. pp. 315-329
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Abstract

This study was conducted for simulation model development of an electric all-wheel-drive vehicle to adapt the agricultural machinery. Data measurement system was installed on a four-wheel electric driven vehicle using proximity sensor, torque-meter, global positioning system (GPS) and data acquisition (DAQ) device. Axle torque and rotational speed were measured using a torque-meter and a proximity sensor. Driving test was performed on an upland field at a speed of 7 km·h-1. Simulation model was developed using a multi-body dynamics software, and tire properties were measured and calculated to reflect the similar road conditions. Measured and simulated data were compared to validate the developed simulation model performance, and axle rotational speed was selected as simulation input data and axle torque and power were selected as simulation output data. As a result of driving performance, an average axle rotational speed was 115 rpm for each wheel. Average axle torque and power were 4.50, 4.21, 4.04, and 3.22 Nm and 53.42, 50.56, 47.34, and 38.07 W on front left, front right, rear left, and rear right wheel, respectively. As a result of simulation driving, average axle torque and power were 4.51, 3.9, 4.16, and 3.32 Nm and 55.79, 48.11, 51.62, and 41.2 W on front left, front right, rear left, and rear right wheel, respectively. Absolute error of axle torque was calculated as 0.22, 7.36, 2.97, and 3.11% on front left, front right, rear left, rear right wheel, respectively, and absolute error of axle power was calculated as 4.44, 4.85, 9.04, and 8.22% on front left, front right, rear left, and rear right wheel, respectively. As a result of absolute error, it was shown that developed simulation model can be used for driving performance prediction of electric driven vehicle. Only straight driving was considered in this study, and various road and driving conditions would be considered in future study.

Keywords
agricultural machinery
data acquisition
electric driven vehicle
simulation
verification
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Information
  • Publisher :Institute of Agricultural Science, Chungnam National University
  • Publisher(Ko) :충남대학교 농업과학연구소
  • Journal Title :Korean Journal of Agricultural Science
  • Journal Title(Ko) :농업과학연구
  • Volume : 51
  • No :3
  • Pages :315-329
  • Received Date : 2024-05-16
  • Revised Date : 2024-07-07
  • Accepted Date : 2024-07-08
  • DOI :https://doi.org/10.7744/kjoas.510307
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