Methodology for Multiple Soc Estimation in Lithium-Ion Battery Packs based on an Adaptive Square-Root Unscented Kalman Filter

Conference: PCIM Europe 2023 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
05/09/2023 - 05/11/2023 at Nürnberg, Germany

doi:10.30420/566091052

Proceedings: PCIM Europe 2023

Pages: 7Language: englishTyp: PDF

Authors:
Fusco, Davide; Porpora, Francesco; Di Monaco, Mauro; Tomasso, Giuseppe (University of Cassino and Southern Lazio, Italy & E-Lectra s.r.l., Cassino (FR), Italy)

Abstract:
The definition of the State of Charge (SoC) at pack level represents a crucial task to be addressed in order to maximize the performances of lithium-ion battery packs while ensuring its safe operating conditions. Indeed, Soc estimation methods are currently safety oriented, thus focused on identifying the Soc of the least/most charged cells. However, this approach does not take into account for the actual pack energy utilization. This paper proposes a methodology based on an Adaptive Square-Root Unscented Kalman Filter for correctly estimating both the Soc at pack level and the one related to the least/most charged cell with a low computational cost.