A Robust Battery Grouping Method Based on a Characteristic Distribution Model
AbstractThe inconsistent characteristics of individual power batteries in a battery pack can seriously affect the performance and service life of the whole pack. Battery grouping is an effective approach for dealing with the inconsistency problem by grouping batteries with similar characteristics in the same battery pack. In actual production, the battery grouping process still relies on the traditional manual method, which results in high labor and time costs. In this paper, a robust and effective battery grouping method based on the characteristic distribution model is developed. Specifically, a novel characteristic distribution model is proposed to determine the grouping priority of different batteries. Then, an improved k-nearest-neighbor algorithm is used to decide which batteries should be group into the same battery pack. Experimental results demonstrate the effectiveness of the proposed method. View Full-Text
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Yang, Y.; Gao, M.; He, Z.; Wang, C. A Robust Battery Grouping Method Based on a Characteristic Distribution Model. Energies 2017, 10, 1035.
Yang Y, Gao M, He Z, Wang C. A Robust Battery Grouping Method Based on a Characteristic Distribution Model. Energies. 2017; 10(7):1035.Chicago/Turabian Style
Yang, Yuxiang; Gao, Mingyu; He, Zhiwei; Wang, Caisheng. 2017. "A Robust Battery Grouping Method Based on a Characteristic Distribution Model." Energies 10, no. 7: 1035.
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