State of Health Estimation for Lithium-Ion Batteries Based on the Constant Current–Constant Voltage Charging Curve

Xiao, Bin; Xiao, Bing; Liu, Luoshi

doi:10.3390/electronics9081279

Cited by 28 publications

(9 citation statements)

References 27 publications

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“…Therefore, the CVT can be used to estimate state of health of the battery. [30][31][32][33] In addition, the measured discharge capacity of 3p3sb pack is a bit lower than that of 3p3sg pack as shown in Fig. 11, due to the presence of a FECP in 3p3sb-p pack.…”

Section: Resultsmentioning

confidence: 92%

Identifying Faulty Electrical Contact Points in Li-Ion Battery Packs

Yang

Xue

2022

J. Electrochem. Soc.

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The cell-to-cell electrical contact resistance was investigated to estimate the effect of faulty electrical contact point (FECP) on the performance of battery packs. The temperature of the FECP in series circuit rises instantaneously compared to that of other normal points after the start of the current load, but the temperature of the FECP in parallel circuit rises just after the voltage turning point at the end of the charging/discharging process. The voltage difference between the highest voltage and the lowest voltage of the cells at the end of discharge stage increases apparently while the battery pack contains the FECPs, which is a typical feature during the decay of battery packs. In this study, the capacity retention of LiFePO4/C battery at room temperature reaches to 80% after 1260 cycles for a 1p3s pack, 1210 cycles for a 3p3s pack and 1510 cycles for a single cell, in which the average cell-to-cell connector impedance is 0.13mΩ in the circuit. By contrast, the cyclic charge-discharge stops at 381st cycle for a 1p3s pack with a FECP (0.42mΩ) in series circuit and at 1097th cycle for a 3p3s pack with a FECP (0.41mΩ) in parallel circuit.

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Section: Resultsmentioning

confidence: 92%

Identifying Faulty Electrical Contact Points in Li-Ion Battery Packs

Yang

Xue

2022

J. Electrochem. Soc.

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“…In the case of RFB, the SOH study has not yet been developed while for lithium-ion batteries there are already numerous studies. Although there has been a lot research in this topic it is still and open research area [44][45][46][47].…”

Section: Ess Main Advantagementioning

confidence: 99%

Redox Flow Batteries: A Literature Review Oriented to Automatic Control

Clemente

Costa‐Castelló

2020

Energies

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This paper presents a literature review about the concept of redox flow batteries and its automation and monitoring. Specifically, it is focused on the presentation of all-vanadium redox flow batteries which have several benefits, compared with other existing technologies and methods for energy stored purposes. The main aspects that are reviewed in this work correspond to the characterization, modeling, supervision and control of the vanadium redox flow batteries. A research is presented where redox flow batteries are contextualized in the current energy situation, compared with other types of energy storage systems. Furthermore, a presentation about the current challenges on research, and the main existing installations is view. A discussion about the main dynamic models that have been proposed during last years, as well as the different control strategies and observers, is presented.

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“…Extensive numerical and experimental studies have been conducted to understand the safety of LIBs, particularly examining the TR process under various abuse conditions [6][7][8][9][10][11][12]. As the temperature rises during the TR process, specific intercellular exothermic reactions are initiated [13,14]. The heat produced from these reactions can intensify the reaction rate, culminating in a TR event [15,16].…”

Section: Introductionmentioning

confidence: 99%

Thermal Runaway Early Warning and Risk Estimation Based on Gas Production Characteristics of Different Types of Lithium-Ion Batteries

Cui,

Shi,

Wang

et al. 2023

Batteries

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Gas production analysis during the thermal runaway (TR) process plays a crucial role in early fire accident detection in electric vehicles. To assess the TR behavior of lithium-ion batteries and perform early warning and risk estimation, gas production and analysis were conducted on LiNixCoyMn1-x-yO2/graphite and LiFePO4/graphite cells under various trigger conditions. The findings indicate that the unique gas signals can provide TR warnings earlier than temperature, voltage, and pressure signals, with an advanced warning time ranging from 16 to 26 min. A new parameter called the thermal runaway degree (TRD) is introduced, which is the product of the molar quantity of gas production and the square root of the maximum temperature during the TR process. TRD is proposed to evaluate the severity of TR. The research reveals that TRD is influenced by the energy density of cells and the trigger conditions of TR. This parameter allows for a quantitative assessment of the safety risk associated with different battery types and the level of harm caused by various abuse conditions. Despite the uncertainties in the TR process, TRD demonstrates good repeatability (maximum relative deviation < 5%) and can be utilized as a characteristic parameter for risk estimation in lithium-ion batteries.

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State of Health Estimation for Lithium-Ion Batteries Based on the Constant Current–Constant Voltage Charging Curve

Cited by 28 publications

References 27 publications

Identifying Faulty Electrical Contact Points in Li-Ion Battery Packs

Identifying Faulty Electrical Contact Points in Li-Ion Battery Packs

Redox Flow Batteries: A Literature Review Oriented to Automatic Control

Thermal Runaway Early Warning and Risk Estimation Based on Gas Production Characteristics of Different Types of Lithium-Ion Batteries

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