INVESTIGADORES
CORREA PERELMUTER Gabriel
congresos y reuniones científicas
Título:
Thermal behavior investigation of a LiFePO4 battery cell determined by optimum power management of fuel cell electric vehicles
Autor/es:
PEDRO MUÑOZ; ARPIT MAHESHWARI; GABRIEL CORREA PERELMUTER; MASSIMO SANTARELLI
Lugar:
Ciudad de Buenos Aires
Reunión:
Congreso; 20th Topical Meeting of the International Society of Electrochemistry; 2017; 2017
Institución organizadora:
International Society of Electrochemistry (ISE)
Resumen:
The optimization and design of electric vehicles powertrain systems can greatly benefit from mathematical models which include auxiliary management and control strategies of the energy fluxes as the use of a virtual platform limits the expensive and time-consuming experimental activity.In this work, the authors focus on the battery current request of a small non plug-in hybrid Fuel Cell Electric Vehicle (FCEV), determined by the optimum power management, which is achieved with an instantaneous power distribution for each one of the sources (FC and Battery), such that the hydrogen consumption is reduced to its minimum and the battery state of charge at the end of the cycle is the same as the beginning. In the vehicle studied, the fuel cells are the primary source of energy and the battery pack is used for energy storage and as an auxiliary source. The power management is optimized using a quasi-Newton method using the vehicle model coupled with a fuel cell dynamic model that takes into account the main electrochemical, fluid-dynamic and thermal phenomena to predict the power output [1] and an empirical quasi-static model of the battery stack that takes into account the temperature. This process was done over three driving cycles that represents varied situations: the NYCC which represents a real life city driving cycle, the FTP UDDS which represents an intercity environment, and the HWFET which is a highway driving cycle.Finally, given the importance of heat management in batteries in order to ensure safe operation and optimum performance, the battery load profiles were simulated using a validated thermally coupled electrochemical model of LiFePO4 pouch cell [2] to ensure a reasonable SOC at the end of the cycle and to predict the temperature increase in the battery due to the driving cycle.