Dynamic Networks of Cellulose Nanofibrils Enable Highly Conductive and Strong Polymer Gel Electrolytes for Lithium-Ion BatteriesShow others and affiliations
2023 (English)In: Advanced Functional Materials, ISSN 1616-301X, E-ISSN 1616-3028, Vol. 33, no 30, article id 2212806Article in journal (Refereed) Published
Abstract [en]
Tunable dynamic networks of cellulose nanofibrils (CNFs) are utilized to prepare high-performance polymer gel electrolytes. By swelling an anisotropically dewatered, but never dried, CNF gel in acidic salt solutions, a highly sparse network is constructed with a fraction of CNFs as low as 0.9%, taking advantage of the very high aspect ratio and the ultra-thin thickness of the CNFs (micrometers long and 2–4 nm thick). These CNF networks expose high interfacial areas and can accommodate massive amounts of the ionic conductive liquid polyethylene glycol-based electrolyte into strong homogeneous gel electrolytes. In addition to the reinforced mechanical properties, the presence of the CNFs simultaneously enhances the ionic conductivity due to their excellent strong water-binding capacity according to computational simulations. This strategy renders the electrolyte a room-temperature ionic conductivity of 0.61 ± 0.12 mS cm−1 which is one of the highest among polymer gel electrolytes. The electrolyte shows superior performances as a separator for lithium iron phosphate half-cells in high specific capacity (161 mAh g−1 at 0.1C), excellent rate capability (5C), and cycling stability (94% capacity retention after 300 cycles at 1C) at 60 °C, as well as stable room temperature cycling performance and considerably improved safety compared with commercial liquid electrolyte systems.
Place, publisher, year, edition, pages
Wiley , 2023. Vol. 33, no 30, article id 2212806
Keywords [en]
cellulose nanofibrils, composites, energy storages, lithium-ion batteries, polymer electrolytes
National Category
Materials Chemistry Polymer Chemistry
Identifiers
URN: urn:nbn:se:kth:diva-338472DOI: 10.1002/adfm.202212806ISI: 000973324900001Scopus ID: 2-s2.0-85152801974OAI: oai:DiVA.org:kth-338472DiVA, id: diva2:1812256
Note
QC 20231115
2023-11-152023-11-152023-11-15Bibliographically approved