Improving the energy management of a solar electric vehicle

Muhammet Tahir Güneser*, Erzat Erdil, Mihai Cernat, Turgut Öztürk

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

A solar electric vehicle (SEV) is an electric vehicle (EV) with onboard photovoltaic cells charging a set of batteries for extended driving range. This study aimed to improve the energy management system of a SEV, called YILDIZ, using a fuzzy logic control system (FLC). A MATLAB based simulation model of three basic components of a solar car: solar cell modules, batteries and motor drive system was performed. An original FLC was developed. For proving its applicability, the performances of the SEV were tested by simulation, in accordance with the standard test drive cycle ECE-15. The characteristics obtained with the original Proportional Integral Fuzzy Logic Control (PI-FLC) were compared with those obtained with a classical Proportional Integral (PI) controller. Using the designed model, we calculated the range of YILDIZ with and without PV feeding which gave us an opportunity to study and compare both SEV and EV models on real race-track situation. Then the optimum speed, at any time, which enabled the vehicle to reach a chosen destination as quickly as possible, while fully using the available energy, was calculated. Proposed solutions tested on YILDIZ. Results of simulations were compared with YILDIZ run on the Formula-G race track in Izmit, Turkey.

Original languageEnglish
Pages (from-to)53-62
Number of pages10
JournalAdvances in Electrical and Computer Engineering
Volume15
Issue number4
DOIs
Publication statusPublished - 2015
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2015 AECE.

Keywords

  • Batteries
  • Energy management
  • Induction motor
  • Motion control
  • Photovoltaic cells
  • Solar energy

Fingerprint

Dive into the research topics of 'Improving the energy management of a solar electric vehicle'. Together they form a unique fingerprint.

Cite this