GHI forecasting to extend the range of a solar powered vehicle
dc.contributor.advisor | Rix, Arnold J. | en_ZA |
dc.contributor.author | Landman, Carel | en_ZA |
dc.contributor.other | Stellenbosch University. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. | en_ZA |
dc.date.accessioned | 2020-02-24T08:50:47Z | |
dc.date.accessioned | 2020-04-28T12:11:12Z | |
dc.date.available | 2020-02-24T08:50:47Z | |
dc.date.available | 2020-04-28T12:11:12Z | |
dc.date.issued | 2020-03 | |
dc.description | Thesis (MEng)--Stellenbosch University, 2020. | en_ZA |
dc.description.abstract | ENGLISH ABSTRACT: The focus of this project is to investigate, model and optimise the range of electric vehicles(EVs). To do so, the detailed modelling of an EV (2016 Nissan Leaf) is covered, to simulate the range of the EV and to investigate how different factors will influence the range. Further, research was done to investigate whether mounting photovoltaic (PV) panels on an EV will extend the range, and if so, by how much. To accurately review the contribution from PV panels mounted on an EV, global horizontal irradiance (GHI) forecasting is done, by only making use of data that is freely available to the public. The GHI forecasting is based on the relationship between clearsky GHI, actual GHI and cloud cover and is done by making use of regression techniques. The biggest factors effecting the range of an EV is the incline of the road and the aerodynamic drag of the vehicle. Since 2016, batteries developed so much, that a battery with double the energy density of the battery in the 2016 Nissan Leaf, is now available. If this battery is used, the range of the EV will effectively be doubled. The GHI forecasting was compared to an existing model and shows more accurate forecasts than this model. It was concluded that PV panels mounted on an EV will lead to a very small increase in range as the EV drives, where the battery-charge gained as the EV is parked, has a more positive effect. | en_ZA |
dc.description.abstract | AFRIKAANSE OPSOMMING: Die fokus van hierdie projek is om die reikafstand van elektriese voertuie (EV) te ondersoek, te modelleer en te optimaliseer. Om dit te kan doen, word die gedetailleerde modellering van 'n EV (2016 Nissan Leaf) gedek, om die reikafstand van die EV te simuleer en om te ondersoek hoe verskillende faktore die reikafstand sal beïnvloed. Verder is navorsing gedoen om te ondersoek of die montering van fotovoltaïese (FV) panele op 'n EV die reikafstand sal vergroot, en indien wel, met hoeveel. Om die bydrae van FV-panele wat op 'n EV gemonteer is, akkuraat na te vors, word voorspellings gedoen vir globale horisontale bestralings (GHB), deur slegs gebruik te maak van data wat vrylik vir die publiek beskikbaar is. Die GHB-voorspelling is gebaseer op die verwantskap tussen skoon-dag GHB, werklike GHB en wolkbedekking en word gedoen deur gebruik te maak van regressietegnieke. Die grootste faktore wat die omvang van 'n EV beïnvloed, is die helling van die pad en die aërodinamiese weerstand van die voertuig. Sedert 2016 het batterye soveel gevorder, dat daar nou 'n battery met dubbel die energiedigtheid van die battery in die 2016 Nissan Leaf is. As hierdie battery gebruik word, sal die reikafstand van die EV effektief verdubbel word. Die GHB-voorspelling is vergelyk met 'n bestaande model en toon meer akkurate voorspellings as hierdie model. Daar is tot die gevolgtrekking gekom dat PV-panele wat op 'n EV gemonteer is, tot 'n baie klein toename in reikafstand sal lei, terwyl die EV ry, maar die battery-lading wat verkry word as die EV geparkeer is, 'n meer positiewe uitwerking het. | af_ZA |
dc.description.version | Masters | en_ZA |
dc.format.extent | xvii, 113 leaves : illustrations (some color), map | |
dc.identifier.uri | http://hdl.handle.net/10019.1/107956 | |
dc.language.iso | en | en_ZA |
dc.publisher | Stellenbosch : Stellenbosch University | en_ZA |
dc.rights.holder | Stellenbosch University | en_ZA |
dc.subject | GHI forecasting | en_ZA |
dc.subject | Solar vehicles | en_ZA |
dc.subject | Automobiles -- Design and construction | en_ZA |
dc.subject | Electric vehicles -- Range | en_ZA |
dc.subject | UCTD | en_ZA |
dc.subject | Solar panels | en_ZA |
dc.title | GHI forecasting to extend the range of a solar powered vehicle | en_ZA |
dc.type | Thesis | en_ZA |