A SoH Diagnosis and Prognosis Method to Identify and Quantify Degradation Modes in Li-ion Batteries using the IC/DV technique

Abstract

Accurate State of Health (SoH) diagnosis and prognosis of Lithium-ion batteries (LIBs) may become an important estimate for the Battery Management System (BMS) if it can be acted upon to de-rate the demands placed on the battery in order to reduce the rate of ageing and to extend battery life. The BMS often quantifies SoH based on capacity (SoHE) and power fade (SoHP) without diagnosing the root causes. In line with this, Incremental Capacity (IC) and Differential Voltage (DV) techniques are used to identify and quantify degradation modes as well as to estimate and to predict the SoHE. These techniques were applied to four parallelised LIBs loaded with a constant current profile for 500 cycles. Loss of active material and loss of lithium ions were identified to be the most relevant degradation modes for this experiment. Moreover, a linear relationship between the intensity of the peaks of the IC and DV curves were identified with respect to the SoHE. This result may enable the future estimation and prediction of SoHE in a simple way. Overall, the outcomes of this work may support novel strategies to control SoHE within the BMS, so that the rate of battery degradation can be reduced.

Low‐temperature reversible capacity loss and aging mechanism in lithium‐ion batteries for different discharge profiles

“…Here, a robust method was exploited to further quantify the effects of LLI and LAM. Similar method was done by Pastor‐Fernández et al In this study, the growth of each degradation mode, G d , is the metric derived for each RPT test N using Equations and . Specially, the G d due to LLI is calculated based on the value of the offset of DV curves toward lower capacity because its variation can be observed clearer than the decrease of the height of the IC peaks toward lower voltages.…”

Review on Health Management System for Lithium-Ion Batteries of Electric Vehicles

“…When a component suddenly fails and the system cannot perform its functions, maintenance actions are automatically carried out to restore the system to working order [56]. Various techniques, such as electrochemical impedance spectroscopy, slow rate cyclic voltammetry, differential thermal voltammetry, incremental capacity (IC) and differential voltage (DV) could identify and quantify degradation modes in real-time applications and could be suitable for implementation within the BMS [57].…”

Anwendung von Batterieanalysemethoden zur Validierung von Alterungsmodellen in Lithium-Ionen-Zellen

“…In heutigen Batteriemanagementsystemen (BMS) wird der Gesundheitszustand (state of health, SOH) ausschließlich über die Gesamtalterung durch den Verlust an nutzbarer Kapazität oder den Anstieg des Zellwiderstandes bestimmt [9][10][11]. Um die Degradation einer Batteriezelle genauer zu analysieren, existieren verschiedene Alterungsmodelle, um die Schädigungseffekte auf die einzelnen Komponenten der Batterie zurückzuführen [12][13][14][15][16][17][18][19][20]. [8,15].…”

“…Die relativen Alterungsentwicklungen, bezogen auf den jeweiligen Startwert der ersten EIS-Messung, berechnen sich nach Gleichungen (1) - (3). [12].…”