Generic placeholder image

Recent Advances in Electrical & Electronic Engineering

Author(s): Pan Wang*, Xiaobin Fan, Shuaiwei Zhu, Shuwen He and Xinbo Chen

DOI: 10.2174/2352096516666221107144333

DownloadDownload PDF Flyer Cite As
Development of Experimental Teaching Platform for In-Wheel Motor Electric Vehicle On-Board Testing

Page: [436 - 448] Pages: 13

  • * (Excluding Mailing and Handling)

Explore Articles
About Journal
For Authors
For Editors
For Reviewers

Abstract

Background: The on-board test system is the key technology of in-wheel motor electric vehicles, which plays a vital role in the safety of the driver and the efficient operation of the vehicle.

Methods: Based on the requirements of the current in-wheel motor electric vehicle experiment teaching content, this research develops an in-wheel motor electric vehicle experimental teaching platform based on Matlab/Simulink and LabVIEW to meet the current needs of the in-wheel motor electric vehicle experiment teaching content.

Results: The vehicle speed, sideslip angle, and road adhesion coefficient can be accurately estimated using the vehicle test platform developed in the article.

Conclusion: With accurate experimental results, the functionality, value, and teaching value of the in-wheel motor electric vehicle experimental teaching platform were fully verified.

Keywords: In-wheel motor electric vehicle, vehicle test system, experiment platform, experimental teaching, state estimation, automobile exhaust.

Graphical Abstract

[1]
D.G. Egziabher, and J.D. Powell, "Design and performance analysis of a low-cost aided dead reckoning navigator", Gyroscopy Navigation, vol. 4, no. 35, pp. 83-92, 2004.
[2]
G. Welch, and G. Bishop, An introduction to the kalman filter, university of North Carolina at chapel hill, department of computer science, chapel hill, NC, USA, p. vol. 7,pp. 127-132, .
[3]
H.E. Tseng, D. Madau, B. Ashrafi, T. Brown, and D. Recker, "Technical challenges in the development of vehicle stability control system", Proceedings of the 1999 IEEE International Conference on Control Applications Aug 22-27, 1999, Kohala Coast, HI, USA, p. vol. 2, pp. 1660-1666, 1999, .
[http://dx.doi.org/10.1109/CCA.1999.801221]
[4]
Z. Liu, H. Hao, X. Cheng, and F. Zhao, "Critical issues of energy efficient and new energy vehicles development in China", Energy Policy, vol. 115, pp. 92-97, 2018.
[http://dx.doi.org/10.1016/j.enpol.2018.01.006]
[5]
X. Ji, G. Li, and T.L. Cao, "Overview of research on steering control of four-wheel independent driving and steering electric vehicle", Automobile Appl. Technol., vol. 45, no. 17, pp. 5-7, 2020.
[http://dx.doi.org/10.16638/j.cnki.1671-7988.2020.17.002]
[6]
C.X. Fu, "Development trend of new energy vehicle technology under the background of industrial convergence", New Energy Automobile, vol. 21, pp. 116-117, 2021.
[7]
W.P. Jiang, and W.J. Zai, "Construction and research of the practical teaching system of vehicle engineering major based on the concept of “New engineering", International Conference on Social Science, Education and Management, Nov 26, 2022, Kuala Lumpur, Malaysia, p. pp. 339-342, 2022, .
[8]
R. Huang, T.H. Shen, F.F. Chen, J.X. Chen, and X.L. Yu, "Experimental study on energy flow of electric vehicle powertrain", Lab. Res. Explor., vol. 37, no. 11, pp. 8-13, 2018.
[9]
R. Huang, Y.L. Chen, S. Xue, J.R. Wu, and F.F. Chen, "Development of vehicle thermal management technology test system", Experiment. Technol. Manag., vol. 35, no. 11, pp. 98-102, 2018.
[http://dx.doi.org/10.16791/j.cnki.sjg.2018.11.022]
[10]
J. Huo, and X. Yue, "Research and implementation of mechanical virtual experiment teaching platform", Int. J. Electr. Eng. Educ., 2021.
[http://dx.doi.org/10.1177/00207209211002077]
[11]
B.F. Wen, New energy vehicle in-wheel motor driven training platform., p. China Patent 2020, .
[12]
S. Vuddanti, S. Shastri, and S.R. Salkuti, Design of Permanent Magnet Brushless DC Motor for Electric Vehicle Traction Application.In: Kumar, S., Singh, B., Singh, A.K. ed., Recent Advances in Power Electronics and Drives. Vol. 852. Springer, Singapore, p. pp. 317-333, 2022, .
[http://dx.doi.org/10.1007/978-981-16-9239-0_24]
[13]
P. Mercorelli, "Using Fuzzy PD controllers for soft motions in a car-like robot", Adv. Sci. Technol. Engin. Sys. J., vol. 3, no. 6, pp. 380-390, 2018.
[http://dx.doi.org/10.25046/aj030646]
[14]
M. Zhang, X. Fan, and J. Gan, "Research on speed estimation of hub-motor vehicle based on multi-sensor information fusion", Int. J. Veh. Syst. Model. Test., p. vol. 15, no. 1, pp. 115814, 2021, .
[http://dx.doi.org/10.1504/IJVSMT.2021.115814]
[15]
R. Song, and Y. Fang, "Vehicle state estimation for INS/GPS aided by sensors fusion and SCKF-based algorithm", Mech. Syst. Signal Process., p. vol. 150, pp. 107315, 2021, .
[http://dx.doi.org/10.1016/j.ymssp.2020.107315]
[16]
Z. Zhang, L. Chu, J. Zhang, C. Guo, and J. Li, "Design of vehicle stability controller based on fuzzy radial basis neural network sliding mode theory with sideslip angle estimation", Appl. Sci., vol. 11, no. 3, p. 1231, 2021.
[http://dx.doi.org/10.3390/app11031231]
[17]
K. Riku, M. Hiroshi, K. Keisuke, S. Yuki, I. Masamichi, and K. Satoshi, "Estimation of vehicle side slip angle by using acceleration sensor", Transac. Soc. Auto. Engin. Japan, vol. 51, no. 5, pp. 785-788, 2020.
[http://dx.doi.org/10.11351/jsaeronbun.51.785]
[18]
K. Riku, M. Naoya, and M. Hiroshi, "Estimation of vehicle side slip angle by using acceleration sensor (Second Report)", Transac. Soc. Auto. Engin. Japan, vol. 52, no. 2, pp. 280-285, 2021.
[http://dx.doi.org/10.11351/jsaeronbun.52.280]
[19]
X. Xia, P. Hang, N. Xu, Y. Huang, L. Xiong, and Z. Yu, "Advancing estimation accuracy of sideslip angle by fusing vehicle kinematics and dynamics information with fuzzy logic", IEEE Trans. Vehicular Technol., vol. 70, no. 7, pp. 6577-6590, 2021.
[http://dx.doi.org/10.1109/TVT.2021.3086095]
[20]
X. Xia, L. Xiong, Y. Lu, L. Gao, and Z. Yu, "Vehicle sideslip angle estimation by fusing inertial measurement unit and global navigation satellite system with heading alignment", Mech. Syst. Signal Process., p. vol. 150, pp. 107290, 2021, .
[http://dx.doi.org/10.1016/j.ymssp.2020.107290]
[21]
O. Kruse, A. Mukhamejanova, and P. Mercorelli, "Super-twisting sliding mode control for differential steering systems in vehicular yaw tracking motion", Electronics, vol. 11, no. 9, p. 1330, 2022.
[http://dx.doi.org/10.3390/electronics11091330]
[22]
O. Kruse, A. Mukhamejanova, and P. Mercorelli, "Differential steering system for vehicular yaw tracking motion with help of sliding mode control", 2022 23rd International Carpathian Control Conference (ICCC),May 29- Jun 01, 2022, Sinaia, Romania, p. pp. 58-63, .
[http://dx.doi.org/10.1109/ICCC54292.2022.9805966]
[23]
K.F. Yi, T. Chen, and W. Hao, Vehicle speed estimation method based on kalman filter-LSTM Model", Highway Engin., pp. 1-11, 2022. Available from: http://kns.cnki.net/kcms/detail/43.1481.U.20210831.1654.010.html
[24]
W. Xiaolan, L. Xiangxuan, and B. Zhifeng, "Fusion estimation method of side-slip angle of independent drive electric vehicle", Mech. Sci. Technol, pp. 1-9, 2021.
[http://dx.doi.org/10.13433/j.cnki.1003-8728.20200580]
[25]
W. Sun, Z. Wang, J. Wang, X. Wang, and L. Liu, "Research on a real-time estimation method of vehicle sideslip angle based on EKF", Sensors, vol. 22, no. 9, p. 3386, 2022.
[http://dx.doi.org/10.3390/s22093386] [PMID: 35591076]
[26]
Z.Q. Liu, and Y.Q. Liu, "Estimation algorithm for road adhesion coefficient using adaptive fading unscented kalman filter", Zhongguo Gonglu Xuebao, vol. 33, no. 7, pp. 176-185, 2020.
[http://dx.doi.org/10.19721/j.cnki.1001-7372.2020.07.018]
[27]
Y.X. Liang, and L. Zheng, Path tracking control of intelligent vehicle based on minimal model error estimation Automot. Eng., p. vol. 43, no. 4, pp. 580-587, 2021, .
[http://dx.doi.org/10.19562/j.chinasae.qcgc.2021.04.016]
[28]
K.H. Guo, Vehicle handling dynamics principle., Nanjing Jiangsu Science and Technology Press, 2011.
[http://dx.doi.org/10.19562/j.chinasae.qcgc.2021.04.016]
[29]
Z.Y. Yu, Automobile Theory., China Machine Press, 2019.
[30]
C. Hu, and L. Cao, "A System Identification Method Based on Multi-layer Perception and Model Extraction", In: FL. Yin, J. Wang, C. Guo, Eds., Advances in Neural Networks. Lecture Notes in Computer Science, vol. 3174. Springer, Berlin, Heidelberg., 2004.
[31]
T. Ning, "Virtual instrument technology and new developments", J. Inst. Inst., vol. 01, pp. 252-254, 2007.
[http://dx.doi.org/10.19650/j.cnki.cjsi.2007.s1.071]
[32]
A. Jamaluddin, L. Sihombin, A. Supriyanto, A. Purwanto, and M. Nizam, "Design real time Battery Monitoring System using LabVIEW Interface for Arduino (LIFA", 2013 Joint International Conference on Rural Information and Communication, Nov 26-28, 2013, Bandung, Indonesia, p. pp. 1-4, 2013, .
[http://dx.doi.org/10.1109/rICT-ICeVT.2013.6741525]
[33]
N.C. Sekhar, T.S. Reddy, and G. Bhavani, "Implementation of low-cost MEMS based temperature measurement and control system using Lab VIEW and microcontroller", 2014 International Conference on Power, Control and Embedded Systems, Dec 26-28, 2014, Allahabad, India, p. pp. 1-4, 2014, .
[http://dx.doi.org/10.1109/ICPCES.2014.7062824]