IEEE Transactions on Industry Applications · 2014 · 169 citations · 21 references
EngineeringSystems EngineeringLifecycle EngineeringLifespan DevelopmentWind EngineeringBattery TestingDurabilityDurability TestingDurability ValidationEnergy StorageLifecycle AssessmentAgeingBattery Aging ModelsCapacity FadeCapacity Fade ModelingLifetime EstimationLifetime TestingLithium-ion BatteriesPerformance Degradation
The development of lifetime estimation models for Lithium-ion battery cells, which are working under highly variable mission profiles characteristic for wind power plant applications, requires a lot of expenditures and time resources. Therefore, batteries have to be tested under accelerated lifetime aging conditions. This paper presents a three-stage methodology used for accelerated lifetime testing of Lithium-ion batteries. The results obtained at the end of the accelerated aging process were used for the parameterization of a performance-degradation lifetime model, which is able to predict both the capacity fade and the power capability decrease of the selected Lithium-ion battery cells. In the proposed methodology both calendar and cycling lifetime tests were considered since both components are influencing the lifetime of Lithium-ion batteries. Furthermore, the proposed methodology was validated by running a verification stage of the lifetime model, where Lithium-ion battery cells were tested at normal operating conditions using an application specific mission profile.
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Energy Storage Systems for Transport and Grid Applications
Sergio Vázquez, Srdjan Lukic, E. Galván et al. · IEEE Transactions on Industrial Electronics · 2010 · 1.3K citations
Energy storage systems for advanced power applications
Paulo F. Ribeiro, Brian K. Johnson, Mariesa L. Crow et al. · Proceedings of the IEEE · 2001 · 1.1K citations · Full text