Monitoring Electric Power Wheelchair Battery Consumption Level via Mobile

Authors

  • Ahmad Afiq Ahmad Shaiful Universiti Teknologi MARA, Perlis Branch, Arau Campus
  • Romiza Md Nor Universiti Teknologi MARA, Perlis Branch, Arau Campus
  • Huzaifah A Hamid Universiti Teknologi MARA, Perlis Branch, Arau Campus

DOI:

https://doi.org/10.24191/jcrinn.v5i4.140

Keywords:

power wheel chair, real time battery monitoring, current sensor, Internet of Things, visibility system status

Abstract

Nowadays, power wheelchair is one of the most important vehicles for people with physical disabilities such as paralysis, stroke, handicap and many more. Electric wheelchair which is also called electric - power wheelchair or powerchair can be moved by an el ectrically based power source, regularly motor or batteries. It is very important to have frequent monitoring battery level because power wheelchair need sufficient battery level for it to be moved around. Therefore, this project is developed to monitor th e battery consumption level and real time battery monitoring. Current sensor is used to measure the current state of the battery level. In this project, Internet of Things (IoT) concept is applied where sensor and mobile application is integrated and know n as BLife. Blife was designed using the visibility of the system status principles which consist of knowledge is power, appropriate feedback, compel user to action and communication creates trusts. If the battery is in the lower state, the power wheelcha ir users will be informed through mobile application via an indicator informing that it needs to be recharged. Moreover, the current location of the power wheelchair user is also notified to the users’ caretaker. Evaluation of Blife were conducted using fu nctionality and usability testing based on visibility of the system status technique. Most of the respondents are satisfied and gave positive feedback. This project is a great contribution to disable people who has limited access to charge battery and to a lert them on their battery level status.

Downloads

Download data is not yet available.

References

A.s, I. (2012). Real Time Battery Management System. Retrieved from https://www.ev-power.eu/docs/GWL-Power-RT-BMS-Info-A.pdf

Christopher, I., Ramsey, P., Chant, G. R., Lockley, A. R., Gb, W., Fields, B., … Jasper, A. (2015). Lithium ion battery, 2(12). https://doi.org/10.1016/j.(73)

DiGiovine, C. P. (2014). electric wheelchair. Retrieved from https://www.britannica.com/technology/electric-wheelchair

Eye, E. (2018). Battery Monitoring System Advantages. Retrieved from https://www.eepowersolutions.com/advantages-battery-monitoring-systems/

Harish, N., Prashal, V., & Sivakumar, D. (2018). IOT Based Battery Management System, 13(8), 5711–5714.

Kaundart, C. (2018). Monitor Your Battery Cells for Superior Reliability. Retrieved from https://www.batterypoweronline.com/markets/testingservices/monitor-your-battery-cells-for-superior-reliability/

Furukawa Electric Co. Ltd. (2012). Battery Monitoring Sensor. Retrieved from http://www.furukawa.co.jp/english/tukuru/pdf/bm-sensor_e044e.pdf

Lee, I., & Lee, K. (2015). The Internet of Things (IoT): Applications, investments, and challenges for enterprises. Business Horizons, 58(4), 431–440. https://doi.org/10.1016/j.bushor.2015.03.008

Downloads

Published

2020-10-25

How to Cite

Shaiful, A. A. A. ., Md Nor, R., & A Hamid, H. (2020). Monitoring Electric Power Wheelchair Battery Consumption Level via Mobile. Journal of Computing Research and Innovation, 5(4), 54–58. https://doi.org/10.24191/jcrinn.v5i4.140

Issue

Section

General Computing