A Film Maturation Process for Improving the Cycle Life of Calendered Silicon Negative Electrodes
Bibliographic record
Abstract
Increasing the energy density of Li-ion batteries (LiB) is a key issue. A promising approach is to replace graphite in LIB anodes with silicon. The main challenge is to deal with the large silicon volume expansion induced by its lithiation, which damages the mechanical integrity (electronic network) of the electrode, and produces an unstable solid electrolyte interphase (SEI). We have successfully improved the performance of silicon based anodes by working on various aspects. First, our ball-milled silicon offers the right nanostructure to limit Si particle cracking in addition to be produced using an industrially viable process [1]. Second, the use of a mixture of carboxymethylcellulose (CMC) and citric acid (CA) as binder system buffer favors the formation of strong bonds between the binder and the Si particles [2] and a protective layer on the Si nanoparticles that significantly decreases electrolyte reduction [3]. Lastly, the use of carbon nanoplatelets as conductive additive insures better ability of the electrode architecture to reversibly expand/contract upon cycling [4]. In this communication, we would like to present a postprocessing treatment (called maturation) that we have recently developed. Indeed, maturation very significantly improves the mechanical and electrochemical stabilities of silicon electrodes made with the CMC/CA binder [5]. This treatment consists of storing the electrode in a humid atmosphere for a few days before drying and cell assembly. This results in a beneficial in situ reactive modification of the interfaces within the electrode. Our investigations suggest that the binder tends to concentrate at the silicon interparticle contacts. As a result, the cohesion of the composite film is strengthened. Moreover, the corrosion of the copper current collector, inducing the formation of copper carboxylate bonds, improves the adhesion of the composite film. This results in an impressive improvement of the electrode cycle life. The calendering of Si-based electrodes is required to obtain a substantial gain in their volumetric capacity compared to conventional graphite electrode. However, the calendering of silicon/carbon nanoplatelets/CMC/CA electrodes induces a major decrease of their cycling stability. This can be attributed to the rupture of the particle-binder bridges during the calendering, lowering the mechanical strength of the electrode. Interestingly, we found that these cohesive bonds can be restored through the maturation treatment. From in-operando dilatometric experiments, it appears that the volumetric expansion is lower and more reversible than for a standard (not-calendered, not-matured) electrode. As a result, a remarkable improvement of the cycle life is observed [6]. Finally, we found that the maturation process is also efficient for silicon electrodes made with the polyacrylic acid (PAA) binder [7]. Acknowledgements The authors thank the Natural Sciences and Engineering Research Council of Canada (NSERC) (grant RGPIN-2016-04524) and Transition Énergétique Québec (TEQ) (grant Techno-0040-0001) for financial support of this work. References [1] M. Gauthier et al., “A low-cost and high-performance Si-based negative electrode for Li-ion batteries”, Energy Environ. Sci., 2013, 6, 2145-2155. [2] D. Mazouzi et al., “Silicon Composite Electrode with High Capacity and Long Cycle Life”, Electrochem. Solid-State Lett., 2009, 12, A215-A218. [3] C.C. Nguyen et al., “Improved Cycling Performance of a Si Nanoparticle Anode Utilizing Citric Acid as a Surface-Modifying Agent”, Langmuir, 2017, 33, 9254–9261. [4] Z. Karkar et al., “Threshold-like dependence of silicon-based electrode performance on active mass loading and nature of carbon conductive additive”, Electrochimica Acta, 2016, 215, 276-288. [5] C. Real Hernandez et al., “A Facile and Very Effective Method to Enhance the Mechanical Strength and the Cyclability of Si-Based Electrodes for Li-Ion Batteries”, Adv. Energy Mater, 2017, 1701787. [6] Z. Karkar et al., “How silicon electrodes can be calendered without altering their mechanical strength and cycle life”, J. Power Sources, 2017, 371, 136-147. [7] Z. Karkar et al., “A comparative study of polyacrylic acid (PAA) and carboxymethyl cellulose (CMC) binders for Si-based electrodes”, accepted for publication in Electrochimica Acta.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".