Energy management strategy for a solar race car including meteorologic and probabilistic variable

Osorio Gómez, Gilberto2019-07-162018http://repository.eafit.edu.co/handle/10784/13660This thesis describes the energy management strategy for racing solar cars, the racing strategy is treated as an optimal control problem with random variables and uncertain predictions. A computational model is developed for estimating the vehicle performance under speciﬁc circumstances. Two evolutionary heuristic optimization methods are implemented and tested for this case, their eﬀectiveness, convergence and eﬃciency is measured and compared to exhaustive search approaches. The dependency on solar radiation is validated using the computational model with diﬀerent test cases. In order to reduce the uncertainties on the solar radiation estimation, satellite images are used as inputs to image processing and machine learning techniques, their eﬃcacy is compared. Finally, a validation case is executed and diﬀerent scenarios are evaluated with the inclusion of the proposed methods, the experimental performance of a vehicle obtained using the strategy in the World Solar Challenge 2015 is exposed and compared to the predicted results from the simulation.application/pdfspaCarro solarEnergy management strategy for a solar race car including meteorologic and probabilistic variabledoctoralThesisinfo:eu-repo/semantics/openAccessMETEOROLOGÍAENERGÍA SOLARVARIABLES ALEATORIASPROGRAMACIÓN HEURÍSTICASolar CarRace strategyEnergy managementHeuristic optimizationSolar resourceAcceso abierto2019-07-16Betancur Valencia, Esteban629.2 B562