Resumen: Energy supply in remote areas (mainly in developing countries such as Colombia) has become a challenge. Hybrid microgrids are local and reliable sources of energy for these areas where access to the power grid is generally limited or unavailable. These systems generally include a diesel generator, solar modules, wind turbines, and storage devices such as batteries. Battery life estimation is an essential factor in the optimization of a hybrid microgrid since it determines the system’s final costs, including future battery replacements. This article presents a comparison of different technologies and battery models in a hybrid microgrid. The optimization is achieved using the iHOGA software, based on data from a real microgrid in Colombia. The simulation results allowed the comparison of prediction models for lifespan calculation for both lead–acid and lithium batteries in a hybrid microgrid, showing that the most accurate models are more realistic in predicting battery life by closely estimating real lifespans that are shorter, unlike other simplified methods that obtain much longer and unrealistic lifetimes. Idioma: Inglés DOI: 10.3390/en13030581 Año: 2020 Publicado en: Energies 13, 3 (2020), 581 [17 pp] ISSN: 1996-1073 Factor impacto JCR: 3.004 (2020) Categ. JCR: ENERGY & FUELS rank: 70 / 114 = 0.614 (2020) - Q3 - T2 Factor impacto SCIMAGO: 0.597 - Control and Optimization (Q2) - Electrical and Electronic Engineering (Q2) - Renewable Energy, Sustainability and the Environment (Q2) - Energy Engineering and Power Technology (Q2) - Fuel Technology (Q2) - Energy (miscellaneous) (Q2)