Open Access Open Access  Restricted Access Subscription Access

Smart Connected Electric Bicycle

Sumit Kumar

Abstract


The aim of this research work is to introduce the smart connected and electric concept in a bicycle with positive impact on our health, environment, and society. The modern components and the freedom in design of the electric drive systems represent the foundation for a diverse choice from the bike manufacturers - regardless if it is a mountain bike, trekking, city, or a touring bike with the additional facility of smartphone connectivity, biometric security, and real-time GPS tracking. The system consists of Cadence Sensor for calculating the riders rpm, Battery Management System (BMS) for the smart charging and discharging of Li-ion battery, Fingerprint Sensor for the smart lock of the cycle, Bluetooth module for connectivity with the smartphone, GSM and GPS module to send the current latitude and longitude data to the user as SMS when he needs to track the cycle. The purpose of this framework is to make user get connected from A to B faster, smarter, more joyful and outmost classy way.

 

Keywords: Smart connected electric bicycle, cadence sensor, battery management system (BMS), Atmega 2560, Atmega 328P, fingerprint sensor, GSM and GPS module, Bluetooth module electronics brakes.


Full Text:

PDF

References


Lin G.Y. Frame building. Published in International journal 2007.

Salim T.I.S., Haiyunnisa T. Design and implementation of li-ion battery pack. Published in IEEE conference 1997.

Garcia M., Pajarillo J. BLDC motor architecture. Published in IEEE conference 2009.

Allen P.G., Johnston W.E. Research direction and economic feasibility. Published in HBR 2015.

Zheng X., Zhang Y. Design of BMS. Published in IEEE conference 2009.

Xioman L. Why we don’t have a bicycle culture. Published in HBR 2016.

Oat P.H., Drieberg M., Cuong N.C. Development of Vehicle Tracking System using GPS and GSM Modem. IEEE Conference on Open Systems (ICOS), Sarawak, Malaysia, 2013.

http://arduinoer.blogspot.in/2015/07/connect-arduino-due-with-hc-06.html

Gaur S., Shah V.A., Thakker M. Biometric Recognition Techniques: A Review. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 1, Issue 4, Oct. 2012. ISSN 2278 – 8875.

http://www.rhydolabz.com/wiki/?p=15770. https://maker.pro/arduino/tutorial/how-to-use-a-hall-effect-sensor-with-arduino/


Refbacks

  • There are currently no refbacks.