Self-organising map based classification of LiFePO4 cells for battery pack in EVs. (2015)

• Record Type: Journal Article
• Authors: He, Fengxian; Shen, W.X.; Song, Qiang; Kapoor, Ajay; Honnery, Damon; Dayawansa, Daya
• Is Part Of: International journal of vehicle design. Volume 69:Number 1/2/3/4 (2015)
• Page Start: 151
• Page End: 167
• Publication Date: 2015
• Subjects: lithium ion batteries -- cell classification -- battery packs -- self-organising maps -- SOM classification -- electric vehicles -- lithium iron phosphate cells -- temperature variation -- internal resistance -- available capacity -- state of charge -- SoC -- cell balancing; Motor vehicles -- Design and construction -- Periodicals; 629.231
• Languages: English
• ISSNs: 0143-3369

Abstract

This paper presents a self-organising map (SOM) based classification of lithium iron phosphate cells for a battery pack in EVs. The experimental data of the cells have been obtained to train the SOM. The temperature variation, internal resistance and available capacity of the cells are used as the inputs of the SOM, and the output of the SOM classifies the cells into three groups with the similar characteristics in terms of its input parameters. Then, the cells in the same group are connected in series to build a sorted battery pack whereas the randomly chosen cells are connected in series to build an unsorted battery pack. The comparison of the consistency between these two battery packs under different discharging conditions has demonstrated the effectiveness of the proposed classification method. In addition, the experimental results show that state of charge based approaches for cell balancing are more effective than voltage based approaches.