A Health Monitoring Method Based on Multiple Indicators to Eliminate Influences of Estimation Dispersion for Lithium-Ion Batteries

Abstract

The state-of-health (SOH) is a critical parameter to determine the degradation degree of lithiumion batteries, thus plays an important part in energy management problems of electric vehicles (EVs). Due to the estimation dispersion of health indicators, it is difficult to monitor conveniently and robustly the SOH of on-board batteries. In this paper, a health monitoring method for the application of battery management system (BMS) has been presented to solve this issue. First of all, the necessity of multiple indicators (MIs) is demonstrated through the analysis of estimation dispersion of single indicator (SI), and three health indicators are extracted from actual operating conditions of EVs. After that, the mixed membership function (MMF) according to fuzzy logic theory is applied to integrate the estimation effects of different health indicators. Then, the analytic hierarchy process (AHP) using dispersion information of health indicators is introduced to calculate the weight coefficient of each indicator. Finally, the performance and robustness of the proposed method have been verified by numerous experiments. The results indicate the average estimation errors of five tested batteries are less than 3%, and the influences of estimation dispersion are largely eliminated when compared with the SI-based and other MIs-based methods. INDEX TERMS Li-ion batteries, capacity fading, health monitoring, estimation dispersion, multiple indicators.

Review on the Selection of Health Indicator for Lithium Ion Batteries

“…, n Among them, t(k) represents the time when the surface temperature rises to the highest during the charging process, T(k) represents the measured surface temperature value, k is the current number of cycles, and n is the sample size. 0.9776 [14,15] The peak intensity of IC curve (IC_peak) IC_peak is the normalized intensity of the IC peak high correlation [16] The peak area of IC curve (IC_area)…”

“…0.9776 [14,15] The peak intensity of IC curve (IC_peak) IC_peak is the normalized intensity of the IC peak high correlati [16] The peak area of IC curve (IC_area)…”

Experimental Testing and Evaluation of Lithium-Ion Battery Cells for a Special-Purpose Electric Vacuum Sweeper Vehicle

“…A state-of-health estimation method based on integration of the estimation effects of different health indicators and calculation of the weight coefficient of each indicator using the analytic hierarchy process is presented in [15]. The experimental life cycle tests on an NMC battery cells are performed to verify the presented method.…”

“…1 Battery capacity rated at 1C means that a fully charged battery rated at 1 Ah should provide 1 A for one hour [21]. [9], [10], [13] Modelling based on experimental testing [11], [12], [14], [15] Experimental testing and evaluation of one batteries [16], [17], [18], [19], [22], [23], [24], [25], [26] Two different test benches are used in the experiments described in [23], one for the tests in the steady state, and the other one under the dynamic operation conditions. Battery electrical characteristics, capacity-temperature dependence, ageing effects and energy storage efficiency under different currents and the dynamic performance are evaluated.…”

Lithium-Ion Battery Ageing Behavior Pattern Characterization and State-of-Health Estimation Using Data-Driven Method

“…State of heath (SOH) estimation is one key function of BMS [11][12][13][14][15][16]. It can monitor the operation and health status of battery system, inform users when the health status of battery system is below a predefined threshold value, suggest better battery usage methods to prolong the lifespan of battery and lower the maintenance cost, and/or even can potentially help in taking protection actions against catastrophic battery failures [17][18][19][20][21][22]. Over the process of using the battery, an increase in solid electrolyte interphase (SEI) layer and a loss in the cyclable lithium and electrode active material occur, causing the battery performance and health conditions to deteriorate [20][21][22].…”