The Effect of Increases in User Weight and Road Slope on Energy Consumption in Disabled Vehicle Driven with PMSM
Yıl 2021,
Cilt: 9 Sayı: 1, 1 - 7, 30.01.2021
Fatih Alpaslan Kazan
,
Ramazan Akkaya
Öz
In this study, the effect of increases in user weight and road slope on energy consumption (Wh/km) value of a disabled vehicle driven with permanent magnet synchronous motor (PMSM) was investigated. In order to digitize this effect, a test system consisting of a data reading card and an interface program prepared in Visual C # was developed. In this way, information about the disabled vehicle and the road was collected instantly during the test process and visualized in the interface. Then experimental studies were carried out on two roads with different slopes with users of different weights. Finally, by using the obtained results, the effect of increases in road slope and user weight on the energy consumption of the vehicle was demonstrated by numerical data. By using these results, the numerical simulations of battery-operated disabled vehicles can be calibrated and much more realistic simulation results can be obtained in future studies.
Destekleyen Kurum
Selçuk University Scientific Research Projects Coordination Office
Kaynakça
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Yıl 2021,
Cilt: 9 Sayı: 1, 1 - 7, 30.01.2021
Fatih Alpaslan Kazan
,
Ramazan Akkaya
Kaynakça
- [1] A. Akpunar, "Ergonomik Bir Elektrikli Tekerlekli Sandalye İçin Dişlisiz Ve Direkt Sürmeli Bir Elektrik Motor Tasarımı" Yüksek Lisans, Fen Bilimleri Enstitüsü, Muğla Üniversitesi, Muğla, 2007.
- [2] S. Yang, M. Li, Y. Lin, and T. Tang, "Electric vehicle’s electricity consumption on a road with different slope," Physica A: Statistical Mechanics and its Applications, vol. 402, pp. 41-48, 2014.
- [3] J. Ju, Y. Shin, and E. Kim, "Intelligent wheelchair using head tilt and mouth shape," IET Electronics letters, vol. 45, no. 17, pp. 873-875, 2009.
- [4] P. Ghule, M. Bhalerao, R. Chile, and V. G. Asutkar, "Wheelchair control using speech recognition," in 9th International Conference on Contemporary Computing (IC3), 2016: IEEE, pp. 1-6.
- [5] R. Chauhan, Y. Jain, H. Agarwal, and A. Patil, "Study of implementation of Voice Controlled Wheelchair," in 3rd International Advanced Computing and Communication Systems (ICACCS), 2016, vol. 1: IEEE, pp. 1-4.
- [6] D. Wang and H. Yu, "Development of the control system of a voice-operated wheelchair with multi-posture characteristics," in Intelligent Robot Systems (ACIRS), 2017 2nd Asia-Pacific Conference on, 2017: IEEE, pp. 151-155.
- [7] M. F. Ruzaij, S. Neubert, N. Stoll, and K. Thurow, "Design and testing of low cost three-modes of operation voice controller for wheelchairs and rehabilitation robotics," in 2015 IEEE 9th International Symposium on Intelligent Signal Processing Proceedings, 2015: IEEE, pp. 1-6.
- [8] P. S. Gajwani and S. A. Chhabria, "Eye motion tracking for wheelchair control," International Journal of Information Technology, vol. 2, no. 2, pp. 185-187, 2010.
- [9] M. Jain, S. Puri, and S. Unishree, "Eyeball motion controlled wheelchair using IR sensors," World Acad. Sci. Eng. Technol. Int. J. Comput. Electr. Autom. Control Inf. Eng, vol. 9, no. 4, pp. 906-909, 2015.
- [10] J. Sharma, M. Anbarasu, C. Chakraborty, and M. Shanmugasundaram, "Iris movement based wheel chair control using raspberry Pi—A state of art," in Power and Advanced Computing Technologies (i-PACT), 2017: IEEE, pp. 1-5.
- [11] K. Arai and R. Mardiyanto, "Eyes based eletric wheel chair control system," International Journal of Advanced Computer Science and Applications (IJACSA), vol. 2, no. 12, 2011.
- [12] G. Marins, D. Carvalho, A. Marcato, and I. Junior, "Development of a control system for electric wheelchairs based on head movements," in Intelligent Systems Conference (IntelliSys), 2017, 2017: IEEE, pp. 996-1001.
- [13] Ö. Deniz, A. A. Süzen, and A. Çetin, "Kafa Hareketleri İle Kontrol Edilebilen Tekerlekli Sandalye," in 4. Ulusal Meslek Yüksekokulları Sosyal Ve Teknik Bilimler Kongresi Burdur, Türkiye, 11-13 Mayıs 2017 2017.
- [14] D. Kupetz, S. Wentzell, and B. BuSha, "Head motion controlled power wheelchair," in Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference (NEBEC), 2010: IEEE, pp. 1-2.
- [15] J. M. Ford and S. J. Sheredos, "Ultrasonic head controller for powered wheelchairs," Journal of Rehabilitation Research and Development, vol. 32, no. 3, pp. 280-284, 1995.
- [16] F. A. Kondori, S. Yousefi, L. Liu, and H. Li, "Head operated electric wheelchair," in 2014 Southwest Symposium on Image Analysis and Interpretation, 2014: IEEE, pp. 53-56.
- [17] V. Sankardoss and P. Geethanjali, "Design and low-cost implementation of an electric wheelchair control," IETE Journal of Research, pp. 1-10, 2019.
- [18] N. Tanohata, H. Murakami, and H. Seki, "Battery friendly driving control of electric power-assisted wheelchair based on fuzzy algorithm," in Proceedings of SICE Annual Conference 2010, 2010: IEEE, pp. 1595-1598.
- [19] N. Hashimoto, K. Tomita, A. Boyali, Y. Takinami, and O. Matsumoto, "Experimental study of the human factors when riding an automated wheelchair: supervision and acceptability of the automated system," IET Intelligent Transport Systems, vol. 12, no. 3, pp. 236-241, 2018.
- [20] T. Wang, J. i. Kaneko, and K. Kojima, "Study on relevance between electric wheelchair riding comfort and user exposure to whole-body vibration," in Consumer Electronics (GCCE), 2017 IEEE 6th Global Conference on, 2017: IEEE, pp. 1-2.
- [21] H. M. Hondori, P. Q. Trung, and L. Shih-Fu, "Simultaneous sensing and actuating for path condition monitoring of a power wheel chair," in Robotics and Mechatronics (ICRoM), 2013 First RSI/ISM International Conference on, 2013: IEEE, pp. 343-346.
- [22] Y.-K. Kim, Y.-H. Cho, N.-C. Park, S.-H. Kim, and H.-S. Mok, "In-Wheel motor drive system using 2-phase PMSM," in Power Electronics and Motion Control Conference, 2009. IPEMC'09. IEEE 6th International, 2009: IEEE, pp. 1875-1879.
- [23] F. A. Kazan and R. Akkaya, "Use of PMSM in Electric Mobility Scooter Propulsion," in International Conference on Engineering Technologies (ICENTE'19), Konya, Turkey, October 25-27, 2019.
- [24] M. F. Ruzaij, S. Neubert, N. Stoll, and K. Thurow, "A speed compensation algorithm for a head tilts controller used for wheelchairs and rehabilitation applications," in 2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI), 2017: IEEE, pp. 000497-000502.
- [25] B. Li, J. Zhang, H. Du, and W. Li, "Two-layer structure based adaptive estimation for vehicle mass and road slope under longitudinal motion," Measurement, vol. 95, pp. 439-455, 2017.
- [26] R. Akkaya and F. A. Kazan, "Design and implementation of a test setup for electric mobility scooter for the disabled," Measurement and Control, vol. 52, no. 9-10, pp. 1434-1444, 2019.