Effects of variability of the characteristics of single cell on the performance of a lithium-ion battery pack

Rising crude oil prices and worldwide awareness of environmental issues have resulted in increased research and development of energy storage systems. Batteries are one of the most attractive energy storage systems because of their high efficiency and low pollution. Because of their high-energy densities and long lifetimes, lithium-ion batteries are increasingly used not only in electrical vehicles, but also in other applications. A key point in the management of lithium-ion batteries is expanding their energy storage capability and lifetimes. To achieve this, a fundamental embedded system is the battery management system (BMS) needed to ensure optimal, reliable and safe operation of the battery. Modelling and characterization of the single cells and an efficient simulation environment is fundamental for the development of an efficient BMS. This work presents a study of the statistical variations of the characteristic parameters of the single cells on the performances of a battery pack. The Montecarlo method on the SystemC-WMS simulations has been used.