Lifetime of self-reconfigurable batteries compared with conventional batteries. (February 2018)

• Record Type: Journal Article
• Authors: Bouchhima, Nejmeddine; Gossen, Matthias; Schulte, Sascha; Birke, Kai Peter
• Is Part Of: Journal of energy storage. Volume 15(2018)
• Page Start: 400
• Page End: 407
• Publication Date: 2018-02
• Subjects: Self-reconfigurable topology -- Lithium-ion batteries -- Lifetime study -- Semi-empirical aging model -- Electric vehicles; Energy storage -- Periodicals; Energy storage -- Research -- Periodicals; 621.3126
• DOI: 10.1016/j.est.2017.11.014
• Languages: English
• ISSNs: 2352-152X

Abstract

Highlights: Development of semi-empirical aging model for Lithium-ion cell. Consideration of the aging trend inhomogeneity within the battery system. Lifetime comparison between self-reconfigurable battery and conventional battery. Analysis of the battery lifetime enhancement due to self-reconfigurable topology. Abstract: This article provides a lifetime and performance study for a novel multi-cell lithium-ion storage system, named self-reconfigurable battery. In such a battery the load of each cell can be optimized due to a power control unit connected to the cell. An iterative algorithm is developed to outline the influence of the novel battery architecture on the aging trend of each cell and thus on the battery life. In order to quantify this lifetime enhancement, a semi-empirical aging model, which involves both cycling and calendar aging factors, is established and coupled afterwards to the electrical battery model. To improve the model accuracy, the aging behavior spread within a multi-cell battery is assumed to fit a normal distribution whose parameters are identified based on experimental aging tests. A lifetime study is conducted for both the novel hardware topology and the conventional topology using a realistic power profile and an optimal balancing strategy. The simulation results proof the aging benefit of the self-reconfigurable topology and show a lifetime enhancement of more than 16%. This improvement yields to a performance enhancement with respect to energy throughput of 16.8% compared to the conventional storage system.