Smart Electric Bicycle Controller with vehicle dynamics modelling and power ratio management
Date of Publication
2016
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Electronics Engineering
Subject Categories
Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Noriel Mallari
Defense Panel Chair
Alexander C. Abad
Defense Panel Member
Melvin. Cabatuan
Roy Francis Navea
Abstract/Summary
The Smart Electric Bicycle Controller is a developed controller that improves the existing pedal-assist technologies. In this study, the Smart Motor controller uses an alternative model-based algorithm for controlling a pedal-assisted bike, Coast down Test method was implemented to determine the electric bicycle parameters for the implementation of the algorithm. The model based algorithm allows the effects of the external environment and differences of riding style and rider profile to control the power provided by the motor. Sensors such as voltage sensor, current sensor, cadence sensor, speed sensor, and torque sensor were used for power ratio management between motor power and human power riding at different speeds using 3 throttle modes. The smart motor controller is a microcontroller-operated, which is Arduino development board.
Data were obtained between the actual motor power vs target motor power using the 3 throttle modes: Sport, Mid and Executive. Motor and human power control accuracies varies between the rider profile, riding sytle and road conditions through different speed implementation.
Abstract Format
html
Language
English
Format
Accession Number
TU17038
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
xiii, 135 leaves ; illustrations (some color) ; 28 cm. ; 1 disc ; 4 3/4 inches
Keywords
Electric controllers--Philippines; Algorithms; Electric reactors; Smart Electric Bicycle Controller; Electric bicycles
Recommended Citation
Macaraig, J. (2016). Smart Electric Bicycle Controller with vehicle dynamics modelling and power ratio management. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/2826
