Li-ion battery individual electrode state of charge and degradation monitoring using battery casing through auto curve matching for standard CCCV charging profile

Rahman, Ashikur; Lin, Xianke

doi:10.1016/j.apenergy.2022.119367

Cited by 20 publications

(15 citation statements)

References 40 publications

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“…To evaluate the accuracy of the designed observer, we have compared the estimated anode and cell capacity to the calculated capacity and the estimated anode SOC to the anode SOC presented in [1]. From Figure 12, we see that the estimated anode SOC is similar to the one presented in [1] with an estimation error of 5.33%. The estimated mean anode capacity for the single-cell varies by 0.21 Ah from the calculated value of the reference [1].…”

Section: Comparison To the Existing Researchmentioning

confidence: 83%

“…This is because the cell charge carrying capacity decreases faster, possibly due to various cell degradation mechanisms and cyclable lithium-ion loss. Figure 11 shows that cell storage capacity is always less than the anode storage capacity because there are not enough lithium ions in the cell to fill the anode's remaining capacity [1]. This study presents an anode SOC estimation method by utilizing the variable current and the anode floating voltage as an unknown input to the system.…”

Section: Degradation Discussionmentioning

confidence: 99%

“…We observed that anode capacity fade is less than the overall cell capacity fade by 1.27%. We also noticed that the anode capacity is higher than the cell capacity because there are not enough lithium ions to fill the total capacity of the anode [1].…”

Section: Anode Capacity Fade and Anode Socmentioning

confidence: 95%

“…In particular, the increasing demand for lithium-ion batteries in electric vehicles (EVs) made researchers interested in improving battery technology further to enhance its performance and reliability. This development vastly depends on the battery's internal state information, such as the state of charge, degradation patterns, and degradation status of the electrodes [1].…”

Section: Introduction 1backgroundmentioning

confidence: 99%

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Li-Ion Battery Anode State of Charge Estimation and Degradation Monitoring Using Battery Casing via Unknown Input Observer

2022

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The anode state of charge (SOC) and degradation information pertaining to lithium-ion batteries (LIBs) is crucial for understanding battery degradation over time. This information about each cell in a battery pack can help prolong the battery pack’s life cycle. Because of the limited observability, estimating the anode state and capacity fade is difficult. This task is even more challenging for the cells in a battery pack, as the current through the individual cell is not constant when cells are connected in parallel. Considering these challenges, this paper presents a novel method to set up three-electrode cells by using the battery’s casing as a reference electrode for building a three-electrode battery pack. This work is a continuation of the authors’ previous research. An unknown input observer (UIO) is employed to estimate the anode SOC of an individual battery in the battery pack. To ensure the stability of a defined Lyapunov function, the UIO parameter matrices are expressed as a linear matrix inequality (LMI). The anode SOC of a lithium nickel manganese cobalt oxide (NMC) battery is estimated by using the standard graphite potential (SGP) and state of lithiation (SOL) characteristic curve. The anode capacity is then calculated by using the total charge transferred in a charging cycle and the estimated SOC of the anode. The degradation of the battery is then evaluated by comparing the capacity fading of the anode to the total charge carried to the cell. The proposed method can estimate the anode SOC and capacity fade of an individual battery in a battery pack, which can monitor the degradation of the individual batteries and the battery pack in real time. By using the proposed method, we can identify the over-degraded batteries in the pack for remaining useful life analysis on the battery.

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Section: Comparison To the Existing Researchmentioning

confidence: 83%

Section: Degradation Discussionmentioning

confidence: 99%

Section: Anode Capacity Fade and Anode Socmentioning

confidence: 95%

Section: Introduction 1backgroundmentioning

confidence: 99%

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Li-Ion Battery Anode State of Charge Estimation and Degradation Monitoring Using Battery Casing via Unknown Input Observer

2022

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“…For some uses, Li-ion batteries are currently costly, and a future lack of lithium and some of the transition metals used in Li-ion batteries would be a challenge [9]. Li-ion batteries, in comparison to other chemistries, have several fundamental advantages.…”

Section: Introductionmentioning

confidence: 99%

ANSYS simulation of Temperature of Cooling System in Li-ion Battery

Qasmi¹,

Afzal²,

Nadeem³

et al. 2022

Proceedings of International Exchange and Innovation Conference on Engineering &Amp; Sciences (IEICES)

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During the operation of lithium-ion batteries, unexpected heat could be generated, which reduces the energy storage capacity as well as the longevity of the batteries. A unique cooling strategy involving an oscillating heat pipe is suggested as a solution to this study. The cooling channel is mounted on the outside of the battery module since electric vehicles have a little amount of space. This work used ANSYS/Fluent to build a lithium-ion battery model for a rectangular cell and evaluate its performance using the cooling system on the battery cell. The heat generated in the flow direction was absorbed by air-fluid throughout the cooling process, which decreased the cooling capacity. The temperature downstream is therefore always higher than the temperature upstream. In this process, the temperature varies from 288 K to 292 K. . In this study, the temperature of the battery rises quickly in the absence of a cooling system while rising gradually in the presence of one. As a result, the cooling system helped to provide a better outcome.

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Performance evaluation with orthogonal experiment method of drop contact heat dissipation effects on electric vehicle lithium-ion battery

Zha

Meng

Qin

et al. 2023

Energy

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Li-ion battery individual electrode state of charge and degradation monitoring using battery casing through auto curve matching for standard CCCV charging profile

Cited by 20 publications

References 40 publications

Li-Ion Battery Anode State of Charge Estimation and Degradation Monitoring Using Battery Casing via Unknown Input Observer

Li-Ion Battery Anode State of Charge Estimation and Degradation Monitoring Using Battery Casing via Unknown Input Observer

ANSYS simulation of Temperature of Cooling System in Li-ion Battery

Performance evaluation with orthogonal experiment method of drop contact heat dissipation effects on electric vehicle lithium-ion battery

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