Online energy management for a solar car using pseudospectral methods for optimal control
Author
dc.contributor.author
Guerrero Merino, Enrique
Author
dc.contributor.author
Duarte Mermoud, Manuel
Admission date
dc.date.accessioned
2016-10-20T20:09:48Z
Available date
dc.date.available
2016-10-20T20:09:48Z
Publication date
dc.date.issued
2016
Cita de ítem
dc.identifier.citation
Optim. Control Appl. Meth. 2016; 37:537–555
es_ES
Identifier
dc.identifier.other
10.1002/oca.2210
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/140895
Abstract
dc.description.abstract
This paper deals with the problem of energy planning for a solar car race. Therein, an electric vehicle powered only by means of a battery pack and the sun's energy must cross usually long distances in several days, facing disturbances along the road such as road slopes, winds, cloudy weather, and vehicle failures. Because the battery pack energy is insufficient to end the race, teams must be very careful with their energy consumption planning, so as to drive as fast as possible to reach the goal in minimum time without emptying the battery pack. The proposed methodology consists of a real-time implementation that measures the current state of the vehicle and then executes a quick energy planning for the long term based on the available battery energy and current solar radiation forecast, afterwards executing a continuous optimal control problem stage for the short term solved by means of pseudospectral methods. This last inclusion allows for fast calculation of trajectory updates while keeping modeling detail.
es_ES
Patrocinador
dc.description.sponsorship
CONICYT-Chile
1120453
Basal Financing Program 'Center for Mining Technology'
FB0809
CONICYT
22120217