Accelerated fading recognition for lithium-ion batteries with Nickel-Cobalt-Manganese cathode using quantile regression method

Zhang, Caiping; Wang, Yubin; Gao, Yang; Wang, Fang; Mu, Biqiang; Zhang, Weige

doi:10.1016/j.apenergy.2019.113841

Cited by 58 publications

(25 citation statements)

References 34 publications

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“…45), which is known as rollover fading. [ 39,40 ] Interestingly, such failure is absent for the electrolyte without EC. It is known, that the roll‐over fading is the result of the electrode cross‐talk, that is, TM dissolution from the cathode and transport to and deposition on the anode.…”

Section: Resultsmentioning

confidence: 99%

Understanding the Outstanding High‐Voltage Performance of NCM523||Graphite Lithium Ion Cells after Elimination of Ethylene Carbonate Solvent from Conventional Electrolyte

Klein

Wickeren

Röser

et al. 2021

Advanced Energy Materials

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The increase of specific energy of current Li ion batteries via further increase of the cell voltage, for example, to 4.5 V is typically accompanied by a sudden and rapid capacity fade, known as “rollover” failure. This failure is the result of Li dendrite formation triggered in the course of electrode cross‐talk, that is, dissolution of transition metals (TMs) from the cathode and deposition on the anode. It is shown herein, that the elimination of ethylene carbonate (EC) from a state‐of‐the‐art electrolyte, that is, from 1.0 m LiPF6 in a 3:7 mixture of EC and ethyl methyl carbonate prevents this failure in high‐voltage LiNi0.5Co0.2Mn0.3O2||graphite cells, even without any electrolyte additives. While the oxidative stability on the cathode side is similar in both electrolytes, visible by a decomposition plateau at 5.5 V versus Li|Li+ during charge, the anode side in the EC‐free electrolyte reveals significantly less TM deposits and Li metal dendrites compared to the EC‐based electrolyte. The beneficial effect of EC‐free electrolytes is related to a significantly increased amount of degraded LiPF6 species, which effectively trap dissolved TMs and suppress the effect of detrimental cross‐talk, finally realizing rollover‐free performance under high voltage conditions.

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Section: Resultsmentioning

confidence: 99%

Understanding the Outstanding High‐Voltage Performance of NCM523||Graphite Lithium Ion Cells after Elimination of Ethylene Carbonate Solvent from Conventional Electrolyte

Klein

Wickeren

Röser

et al. 2021

Advanced Energy Materials

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show abstract

“…Nowadays, energy crisis and environmental pollution issue force the fast application of sustainable energy on electrical equipment. Owing to natural advantages, lithium-ion batteries (LIBs) have been widely adopted in energy storage areas (Saha et al, 2019;Wei et al, 2019;Zhang et al, 2019;Feng et al, 2020). With the continuous improvement of lithium-ion batteries in energy density, enhancing their safety is becoming increasingly urgent for electric vehicle development (Divakaran et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

H∞–Adaptive H∞ Algorithm-Based State of Charge Estimation Considering the Hysteresis Effect for Lithium Polymer Battery

2021

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Accurate state of charge (SoC) estimation is crucial for the safe and reliable running of lithium-ion batteries in electrified transportation equipment. To enhance the estimation accuracy and robustness under different ambient temperatures, H∞ and the adaptive H∞ filterings were first combined to simultaneously forecast the parameters and SoC of the battery model considering the hysteresis effect in this paper. To drop the computational complexity to the most extent, the hysteresis unit was integrated into the first-order RC battery model and the aforementioned combined algorithm was developed under a dual-time frame. Then, the battery model with the hysteresis effect is evaluated against the model without that in terms of the estimation accuracy. Subsequently, the proposed algorithm is compared with the dual H∞ algorithm based on the employed battery model. The results demonstrate the excellent performance of the utilized battery model and the proposed algorithm in terms of both the estimation accuracy and the convergence speed.

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“…However, in practice, battery capacity parameters are difficult to obtain directly, and there are certain limitations. On this basis, the literature [10] improved the method for determining the upper and lower bounds of the belt-shaped safe area. Based on the idea of probability statistics, the probability of the data point corresponding to the normal decline of the battery falling in the belt-shaped area reached 95% as the standard.…”

Section: Introductionmentioning

confidence: 99%

Recognition and Diagnosis Method of Accelerated Aging of Lithium-Ion Battery Based on Logistic Regression

Zou

Zhang

Wang

et al. 2021

WEVJ

Self Cite

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Aiming at the accelerated aging problem that may occur during the use of high specific energy lithium-ion batteries, this article proposes a method to judge the accelerated aging of lithium-ion batteries. Taking the IC curve and DV curve as the starting point, the complete characteristic curve of the new battery is used as a comparison benchmark, and the battery characteristic curves of different aging stages are compared and analyzed, and the parameters that have obvious changes before and after the accelerated aging of the battery are extracted as the characteristics that the battery has accelerated aging. It is important to establish the relevant characteristic parameter matrix, and use the logistic regression method to train the accelerating aging model of the battery to realize the diagnosis of accelerating aging fault. In view of the fact that lithium batteries rarely undergo a complete charging process, the characteristic parameter sets established in this paper are based on the IC curve and the DV curve in the 15–75% SOC range, which have certain practicability.

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Accelerated fading recognition for lithium-ion batteries with Nickel-Cobalt-Manganese cathode using quantile regression method

Cited by 58 publications

References 34 publications

Understanding the Outstanding High‐Voltage Performance of NCM523||Graphite Lithium Ion Cells after Elimination of Ethylene Carbonate Solvent from Conventional Electrolyte

Understanding the Outstanding High‐Voltage Performance of NCM523||Graphite Lithium Ion Cells after Elimination of Ethylene Carbonate Solvent from Conventional Electrolyte

H∞–Adaptive H∞ Algorithm-Based State of Charge Estimation Considering the Hysteresis Effect for Lithium Polymer Battery

Recognition and Diagnosis Method of Accelerated Aging of Lithium-Ion Battery Based on Logistic Regression

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