Electric Vehicle with Speed Control Algorithm and Regenerative Braking and the Design of a Mobile Web App based on IoT

  • Axel Pulamarin Escuela Politécnica Nacional
Keywords: PI controller, BLDC motor, speed algorithm, model reference adaptive control (MRAC), regenerative braking, firebase, pplication programming interface (API)

Abstract

Currently, most electric vehicles for personal mobility do not keep a constant speed and they do not brake automatically when the system requires. Moreover, this braking energy is not used to power the system itself. To overcome these problems, this work presents the implementation of control algorithms and a web app for an electric vehicle for personal mobility. A cascade control algorithm is implemented where the internal loop is torque and the external loop is speed. Additionally, a mobile web app based on IoT was designed to display in real time some important information about the system status. Eventually, simulations and real test were performed indicating fast torque and speed response when the system is subjected to different mobility scenarios.

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References

P. Alex, “Design and implementation of speed and torque control with regenerative braking for a platform prototype of an electric unicycle,” February 2019.

T. Miller, “Brushless permanent magnet and reluctance Motor Drives,” Oxford University, USA, 1989.

Mohan Ned, “Electric drives, an integrate approach,” USA, MNPERE Minneapolis, 2001.

G. Papadopoulos, “PID controller tuning using the magnitude optimun criterion,” Springer, Suiza, 2015.

K. Ogata, “Modern Control Engineering,” PEARSON, 5th Ed., Madrid, 2010.

Embetion, “Adaptive algorithms,” [Online]. Available: https://www.embention.com [Accessed: Sep.11,2020].

MIT, “Discrete Approximation of Continuous Time Systems,” [Online]. Available: https://ocw.mit.edu/terms/ [Accessed: Sep.11,2020]

Firebase, “Firebase Realtime Database,” [Online]. Available: https://firebase.google.com/docs/database [Accessed: Nov.05, 2020]

Firebase, “App development platform,” [Online] Available: https://firebase.google.com/docs/database [Accessed: Nov.06, 2020]

C. Kuo “Automatic control systems,” PRENTICE HALL, 7th Ed, New York, 2010

D. Stefano, C. Pablo, S. Aldo, G. Patrik, P. Pietro and V. Fabio “ Torque-fill control and energy management for a four-wheel-drive electric vehicle layout With two-speed transmissions,” ” IEEE Transactions on Industry Applications, October 2016.

M. Arash, S. Aldo, G. Patrick, F. Saber and S. Jasper “A fast and parametric torque distribution strategy for four-wheel-drive energy-efficient electric vehicles” IEEE Transactions on Industry Applications,” IEEE Transactions on Industrial Electronics, July 2016.

R. Desna, H. Eko, S. Randen and D. Dadet “PENS-Wheel (One-Wheeled Self Balancing Vehicle) Balancing Control using PID Controller,” Conference International Electronics Symposium 2016.

R. Jiageng Ruan and S. Qiang “A Novel Dual-Motor Two-Speed Direct Drive Battery Electric Vehicle Drivetrain,” IEEE Access, April 2019.

R. Bakhtiar, H.Eko, S. Raden and P. Dadet “PENS-Wheel (Self Balancing One-Wheel Vehicle) Mechanical Design and Sensor System,” Conference International Electronics Symposium 2016.

NewScientist, “Electric cars really are a greener option than fossil fuel vehicles,” [Online]. Available: www.newscientist.com [Accessed: Nov. 11, 2020]

Published
2021-01-01
How to Cite
[1]
A. Pulamarin, “Electric Vehicle with Speed Control Algorithm and Regenerative Braking and the Design of a Mobile Web App based on IoT”, LAJC, vol. 8, no. 1, pp. 130-141, Jan. 2021.
Section
Research Articles for the Regular Issue