Quality control tool of electrode coating for lithium-ion batteries based on X-ray radiography

Etiemble, Aurélien; Besnard, Nicolas; Adrien, Jérôme; Tran-Van, Pierre; Gautier, Laurent; Lestriez, Bernard; Maire, Éric

doi:10.1016/j.jpowsour.2015.08.030

Cited by 32 publications

(17 citation statements)

References 21 publications

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“…Strategies for overcoming manufacturing costs include implementing low-cost processing and adequate quality control (QC) tools to reduce the scrap rate in larger format batteries. [9][10][11][12] Our group at Oak Ridge National Laboratory has demonstrated that adapting aqueous processing instead of N-methylpyrrolidone (NMP) processing for cathode coating (slurry) mixing could reduce the battery cost by 10% per watthour. [13,14] In addition, we recently reported the implementation of QC techniques on a slot-die coating instrument to reduce the scrap rates in larger format cells associated with LIB manufacturing.…”

Section: Introductionmentioning

confidence: 99%

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Effect of electrode manufacturing defects on electrochemical performance of lithium-ion batteries: Cognizance of the battery failure sources

Mohanty

Hockaday

et al. 2016

Journal of Power Sources

148

103

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During LIB electrode manufacturing, it is difficult to avoid the certain defects that diminish LIB performance and shorten the life span of the batteries. This study provides a systematic investigation correlating the different plausible defects (agglomeration/blisters, pinholes/divots, metal particle contamination, and non-uniform coating) in a LiNi 0.5 Mn 0.3 Co 0.2 O 2 /NMC532 positive electrode with its electrochemical performance. In addition, an infrared thermography technique was demonstrated as a nondestructive tool to detect these defects. The findings show that cathode agglomerates aggravated cycle efficiency, and resulted in faster capacity fading at high current density. Electrode pinholes showed substantially lower discharge capacities at higher current densities than baseline NMC 532electrodes. Metal particle contaminants have an extremely negative effect on performance, at higher Crates. The electrodes with more coated and uncoated interfaces (non-uniform coatings) showed poor cycle life compared with electrodes with fewer coated and uncoated interfaces. Further, microstructural investigation provided evidence of presence of carbon-rich region in the agglomerated region and uneven electrode coating thickness in the coated and uncoated interfacial regions that may lead to the inferior electrochemical performance. This study provides the importance of monitoring and early detection of the electrode defects during LIB manufacturing processes to minimize the cell rejection rate after fabrication and testing.

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Section: Introductionmentioning

confidence: 99%

“…In addition to the QC tools [11,12,15] an understanding of correlations between the flaws and the electrode's performance are indispensable to establishing pass/fail criteria for the electrodes.…”

Section: Introductionmentioning

confidence: 99%

Effect of electrode manufacturing defects on electrochemical performance of lithium-ion batteries: Cognizance of the battery failure sources

Mohanty

Hockaday

et al. 2016

Journal of Power Sources

148

103

View full text Add to dashboard Cite

show abstract

“…Modern coating speeds can reach 100-200 ft/min [68] before rapid air bubble formation occurs [70] and the presence of various coating defects, such as pinholes, agglomerates, and nonuniformity, arises. [71][72][73] Once coated, the slurry is rapidly dried to remove the solvent. For NMP-based electrodes, the solvent must be collected and recycled, which is an energy-intensive process [74] that requires millions of dollars in capital costs to operate.…”

Section: Industrial/commercial Manufacturing Process Descriptionmentioning

confidence: 99%

Operation, Manufacturing, and Supply Chain of Lithium-ion Batteries for Electric Vehicles

Belharouak

Nanda

Self

et al. 2020

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“…As a key component of lithium battery manufacturing, lithium battery pole piece is prone to surface defects in the production process of slurry preparation, slurry coating and roll pressure [1]- [3], which will have an adverse impact the capacity, cycle life, and safety of lithium batteries [4]- [7]. Therefore, it is necessary to detect the surface defects of lithium battery pole piece.…”

Section: Introductionmentioning

confidence: 99%

Surface Defects Detection and Identification of Lithium Battery Pole Piece Based on Multi-Feature Fusion and PSO-SVM

et al. 2021

IEEE Access

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In order to realize the automatic detection of surface defects of lithium battery pole piece, a method for detection and identification of surface defects of lithium battery pole piece based on multifeature fusion and PSO-SVM was proposed in this paper. Firstly, image subtraction and contrast adjustment were used to preprocess the defect image to weaken the influence of non-defective areas and enhance the defect features. Then, Canny algorithm and the AND logical operation were used to extract the image of defect area. Next, the texture feature, edge feature, and HOG feature were combined to extract the feature of the defect area image. Finally, the support vector machine (SVM) optimized by particle swarm optimization (PSO) was used to automatically identify and classify defect images. The experimental results show that the proposed method in this paper can effectively detect surface multiple types defects of lithium battery pole piece, and the average recognition rate of defects reaches 98.3%, which is an effective and feasible automatic defect detection and identification method.

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Quality control tool of electrode coating for lithium-ion batteries based on X-ray radiography

Cited by 32 publications

References 21 publications

Effect of electrode manufacturing defects on electrochemical performance of lithium-ion batteries: Cognizance of the battery failure sources

Effect of electrode manufacturing defects on electrochemical performance of lithium-ion batteries: Cognizance of the battery failure sources

Operation, Manufacturing, and Supply Chain of Lithium-ion Batteries for Electric Vehicles

Surface Defects Detection and Identification of Lithium Battery Pole Piece Based on Multi-Feature Fusion and PSO-SVM

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