|
A fuzzy-based Solution for Optimized
Management of Mario Giliberto, Fabio Arena, and
Giovanni Pau+ Kore University of Enna, Enna, Italy mario.giliberto@unikorestudent.it, {fabio.arena, giovanni.pau}@unikore.it Abstract In recent years, electric vehicles (EVs) have
performed an increasingly significant role in contemporary smart cities.
Among the various classes of EVs, it is reasonable to incorporate electric
bicycles (e-bikes) which have encountered a fast spread in the last ten
years. An e-bike is a bicycle on which an electric motor, powered through the
use of rechargeable batteries, can be used for propulsion. As a consequence,
the main issue related to this kind of vehicles concerns the usage of
batteries related to distribution and production of the energy to power them.
This paper introduces a solution based on fuzzy logic aimed at optimizing the
energy management of electric bikes. The retrieved results prove that the
proposed approach outperforms another method based on
proportional–integral–derivative (PID) controller, significantly prolonging
battery life. Keywords: Fuzzy Logic Control, Energy Management, E-Bikes,
Smart City. +: Corresponding
author: Giovanni Pau Tel: +39-0935-536494 Journal
of Wireless Mobile Networks, Ubiquitous Computing, and Dependable
Applications (JoWUA) Vol.
10, No. 3, pp.45-64, September 2019 [pdf] Received: July 10, 2019; Accepted:
September 6, 2019; Published: September 30, 2019 DOI: 10.22667/JOWUA.2019.09.30.045 |