Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Battery-super capacitor hybrid power system for pedal-assisted electric bicycles considering energy and exercise efficiency

Authors
An N.N.Nghia N.T.Van Hien V.Shin D.
Issue Date
Nov-2019
Publisher
Institute of Advanced Scientific Research
Keywords
Battery; Cadence control; Hybrid power; Pedal-assisted electric bicycle; Super capacitor
Citation
Journal of Advanced Research in Dynamical and Control Systems, v.11, no.12 Special Issue, pp.934 - 940
Journal Title
Journal of Advanced Research in Dynamical and Control Systems
Volume
11
Number
12 Special Issue
Start Page
934
End Page
940
URI
http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/38872
DOI
10.5373/JARDCS/V11SP12/20193296
ISSN
1943-023X
Abstract
Pedal-assisted electric bicycles have been developed in recent years to support people in both transportation and in exercising with the appropriate intensity. The battery efficiency is strongly affected by the bicycle operating conditions, including weight, speed, slope, cadence, and gear ratio. The pace of the exercise— cadence and torque—can also be controlled by manipulating the motor power and gear ratio. In this context, a control strategy for the motor power and gear ratio was introduced to maximize the battery and exercise efficiency. In this study, we attempt to enhance the cadence control efficacy by adopting a battery-super capacitor hybrid power system. Besides, the re-charging module was included to harvest energy from the motor when the bicycle is running downhill. With this module, the travel distance now can be extended. Our simulation show that the hybrid power system can enhance the battery efficiency by extending the short-term power capacity and reducing gear ratio changes. © 2019, Institute of Advanced Scientific Research, Inc. All rights reserved.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Information Technology > Department of Smart Systems Software > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Shin, Donghwa photo

Shin, Donghwa
College of Information Technology (Department of Smart Systems Software)
Read more

Altmetrics

Total Views & Downloads

BROWSE