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Purpose <p>The present study, research, development and field deployment aims to design, develop, and evaluate an indigenous Electric Assist Tricycle (E-assist Tricycle) integrating a Brushless DC (BLDC) motor controller and real-time data acquisition system (DAS) to enhance mobility for persons with disabilities in India. The work addresses limitations of existing imported solutions that are often underpowered, ergonomically unsuitable, and economically inaccessible.</p> Methods <p>A custom drive unit with electronic braking and throttle control was developed, combined with a real-time DAS, embedded electronic controller, a mobile application, and a Python based analytics platform. A lab testing of the control system onto the embedded electronic controller have been done using the Experimental Setup of Brake Drum Dynamometer. A nine months field testing study involving multiple disabled users was conducted, collecting both subjective feedback and objective performance data, including torque, speed, battery status, and energy consumption.</p> Results <p>The system exhibited high initial torque, stable efficiency across varied loads and terrains, and reliable electronic braking. Data analysis revealed peak power demand during low-speed acceleration, average operational speeds of 16–17&#xa0;km/h, and a per-charge range of 15–20&#xa0;km. The design improvements are validated using correlation analysis linked user reported comfort with specific drive parameters.</p> Conclusion <p>The integration of indigenous hardware with data-driven performance monitoring demonstrates a sustainable, reliable, and user centric assistive mobility solution for people with disability. The proposed design advances accessibility, safety, and affordability, contributing to inclusive transportation for socially and economically diverse disability communities.</p>

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Integration of BLDC motor controller and an automated DAS in E-assist tricycle for people with disability: field deployment, testing, usage and performance analysis

  • 期刊论文

  • 发表日期：

    2025年11月24日

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  • Bhausaheb Ashok Botre,
  • Sachin Bhalothia,
  • Brijendra Kumar Verma,
  • Kundan Varvaniya,
  • Bhanu Pratap Paregi,
  • Smita Pareek

摘要

Purpose

The present study, research, development and field deployment aims to design, develop, and evaluate an indigenous Electric Assist Tricycle (E-assist Tricycle) integrating a Brushless DC (BLDC) motor controller and real-time data acquisition system (DAS) to enhance mobility for persons with disabilities in India. The work addresses limitations of existing imported solutions that are often underpowered, ergonomically unsuitable, and economically inaccessible.

Methods

A custom drive unit with electronic braking and throttle control was developed, combined with a real-time DAS, embedded electronic controller, a mobile application, and a Python based analytics platform. A lab testing of the control system onto the embedded electronic controller have been done using the Experimental Setup of Brake Drum Dynamometer. A nine months field testing study involving multiple disabled users was conducted, collecting both subjective feedback and objective performance data, including torque, speed, battery status, and energy consumption.

Results

The system exhibited high initial torque, stable efficiency across varied loads and terrains, and reliable electronic braking. Data analysis revealed peak power demand during low-speed acceleration, average operational speeds of 16–17 km/h, and a per-charge range of 15–20 km. The design improvements are validated using correlation analysis linked user reported comfort with specific drive parameters.

Conclusion

The integration of indigenous hardware with data-driven performance monitoring demonstrates a sustainable, reliable, and user centric assistive mobility solution for people with disability. The proposed design advances accessibility, safety, and affordability, contributing to inclusive transportation for socially and economically diverse disability communities.