Recent Health Diagnosis Methods for Lithium-Ion Batteries

Abstract

Lithium-ion batteries have good performance and environmentally friendly characteristics, so they have great potential. However, lithium-ion batteries will age to varying degrees during use, and the process is irreversible. There are many aging mechanisms of lithium batteries. In order to better verify the internal changes of lithium batteries when they are aging, post-mortem analysis has been greatly developed. In this article, we summarized the electrical properties analysis and post-mortem analysis of lithium batteries developed in recent years and compared the advantages of varieties of both destructive and non-destructive methods, for example, open-circuit-voltage curve-based analysis, scanning electron microscopy, transmission electron microscopy, atomic force microscopy, X-ray photoelectron spectroscopy and X-ray diffraction. On this basis, new ideas could be proposed for predicting and diagnosing the aging degree of lithium batteries, at the same time, further implementation of these technologies will support battery life control strategies and battery design.

Enhanced Whale Optimization Algorithm with Wavelet Decomposition for Lithium Battery Health Estimation in Deep Extreme Learning Machines

“…Due to it's energy-saving and environmentally friendly nature, ease of portability and use, and high energy density and portability, lithium-ion batteries find widespread applications in various fields, such as portable electronic communications, transportation, and energy storage systems, making them favored across different industries [3,4]. However, lithium batteries also pose certain potential risks during usage.…”

A Review of Non-Destructive Techniques for Lithium-Ion Battery Performance Analysis

“…NDT refers to a range of methods for evaluating and localizing anomalies such as imperfections, corrosion, deformation, discontinuities, external and internal cracks, etc., during the production and life cycles of LIBs, without compromising the original part, in accordance with the applicable standards [17][18][19]. In recent years, significant steps have been made in the development of accurate, non-invasive, and reliable methods for the estimation of battery performance.…”

Cell Fault Identification and Localization Procedure for Lithium-Ion Battery System of Electric Vehicles Based on Real Measurement Data

“…Using cells without supervision (BMS-Battery Management System) is accident-prone and, in the worst case, can even cause a fire during charging [17]. The BMS monitors the state of the cells, determines the maximum power that can be drawn from the battery, the maximum charging current, aggregates the voltage values, the state of charge (SOC), and also estimates the state of health (SOH) of the cells [18][19][20][21][22]. These data are transmitted to the engine controller or the battery charging station.…”

“…Locating the faulty cell or cells can be conducted with or without disassembling the battery pack. Disassembling tests usually give more accurate results for the battery SOH [22,[28][29][30], but they come with a loss of guarantee.…”