Conclusion This paper proposed a Battery Phase Space Warping (BPSW) algorithm as a means to monitor the aging process of lithium-ion batteries (LIBs). The BPSW algorithm reconstructs a phase space (PS) that is qualitatively equivalent to the original battery system using the voltage signals from battery discharge.
Volume 624, 30 December 2024, 235607 BPSW monitors battery aging by reconstructing voltage signals into phase space. Trajectory warping in phase space reflects changes in battery parameters. BPSW uses local polynomial regression for reference trajectories of health. BPSW separates fast and slow variables, minimizing interference from discharge.
The theory of phase space warping originates from the qualitative analysis of slowly time-varying dynamic systems. The slow degradation phenomenon during the charge and discharge cycles of LIBs is characterized by slowly varying parameters, while the corresponding voltage and current signals are considered fast-varying.
Trajectory warping in phase space reflects changes in battery parameters. BPSW uses local polynomial regression for reference trajectories of health. BPSW separates fast and slow variables, minimizing interference from discharge. BPSW aids in battery health management and predicting remaining useful life.
As LIB degradation alters the internal system parameters, reflected as trajectory warping in the reconstructed PS, the BPSW algorithm captures these changes to monitor battery degradation.
Experimental validation demonstrates that the BPSW algorithm can use battery cycle discharge voltage signals to track battery aging. Moreover, the HIs extracted by the BPSW algorithm have a strong linear correlation with battery capacity.
This study presents a new approach for fluctuation prediction termed ASW-DTW, which integrates Adaptive Sliding Window (ASW) and Dynamic Time Warping (DTW). Initially, this approach leverages Empirical …
This paper proposed a Battery Phase Space Warping (BPSW) algorithm as a means to monitor the aging process of lithium-ion batteries (LIBs). The BPSW algorithm reconstructs a phase …
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This review consolidates current knowledge on the diverse array of factors influencing battery degradation mechanisms, encompassing thermal stresses, cycling …
Semantic Scholar extracted view of "Battery phase space warping: A novel method for lithium-ion battery degradation tracking under variable discharges" by Hengyu Liu …
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This paper proposed a Battery Phase Space Warping (BPSW) algorithm as a means to monitor the aging process of lithium-ion batteries (LIBs). The BPSW algorithm reconstructs a phase …
Semantic Scholar extracted view of "Battery phase space warping: A novel method for lithium-ion battery degradation tracking under variable discharges" by Hengyu Liu …
This review consolidates current knowledge on the diverse array of factors influencing battery degradation mechanisms, encompassing thermal stresses, cycling …
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To address this issue, the Battery Phase Space Warping (BPSW) algorithm is proposed. This algorithm aims to distinguish slow aging from fast-varying signals by reconstructing discharge …
This study presents a new approach for fluctuation prediction termed ASW-DTW, which integrates Adaptive Sliding Window (ASW) and Dynamic Time Warping (DTW). …