News Release

Lithium‑ion dynamic interface engineering of nano‑charged composite polymer electrolytes for solid‑state lithium‑metal batteries

Peer-Reviewed Publication

Shanghai Jiao Tong University Journal Center

Lithium‑Ion Dynamic Interface Engineering of Nano‑Charged Composite Polymer Electrolytes for Solid‑State Lithium‑Metal Batteries

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  • The surface charge characteristics of halloysite nanotubes (HNTs) are manipulated to engineer the Li+-dynamic interface (Li+-DI) in composite polymer electrolytes.
  • Surface charge characteristics of HNTs generate pronounced impact on not only the ionic/mechanical properties of the composite electrolytes, but also the formation and composition of solid–electrolyte interphase (SEI) layer.
  • HNTs+-supported Li+-DI exhibits an anion-rich Li+-solvation structure and soft-and-tough mechanical interface, leading to LiF-rich SEI layer and improvement of toughness by over 2000% compared with the control.
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Credit: Shanshan Lv, Jingwen Wang, Yuanming Zhai, Yu Chen, Jiarui Yang, Zhiwei Zhu, Rui Peng, Xuewei Fu*, Wei Yang, Yu Wang*.

Solid-state lithium-metal batteries (SSLMBs) are the holy-grail of next-generation energy storage, but their commercialization has been stymied by dendrite growth, fragile interfaces, and the ion-conductivity vs. mechanical-strength trade-off. Now, researchers from Sichuan University, led by Prof. Yu Wang and Prof. Xuewei Fu, have introduced a “lithium-ion dynamic interface (Li⁺-DI)” strategy that turns charged halloysite nanotubes (HNTs) into nano-interfacial engineers, delivering composite polymer electrolytes (NCCPEs) that are simultaneously super-tough, highly conductive, and dendrite-suppressing.

Why Surface Charge Engineering Matters

  • Breaks the Toughness–Conductivity Trade-off:
    Positively charged HNT⁺ creates a soft-and-tough Li⁺-DI, boosting toughness by >2000 % while maintaining 0.19 mS cm-1 ionic conductivity and a record-high Li⁺ transference number (0.86).
  • LiF-Rich SEI on Demand:
    HNT⁺ lowers the LUMO of TFSI⁻, steering its preferential decomposition into a LiF-rich, mechanically robust SEI that suppresses dendrites and enables 700 h of symmetric-cell cycling at 0.2 mA cm-2.
  • Universal Cathode Compatibility:
    Li|NCCPE|LFP retains 78.6 % capacity after 400 cycles (0.5 C); Li|NCCPE|NCM811 delivers 74.4 % retention after 200 cycles at 4.4 V—outperforming most reported PVDF-based electrolytes.

Key Innovations

  • Charged 1D Nanofillers:
    Electrostatic self-assembly of PDDA (HNT⁺) or hexametaphosphate (HNT⁻) tailors zeta potential (+46 vs –43 mV), eliminating nanotube agglomeration and creating percolated ion highways inside 40 µm-thin membranes.
  • Dynamic Li⁺ Bridge:
    DFT and TS-DFT reveal that HNT⁺ anchors TFSI⁻, forcing Li⁺ to hop through an anion-rich, solvent-assisted pathway with 0.69 eV barrier—35 % lower than uncharged interfaces.
  • Scalable Solution Processing:
    Doctor-blading + vacuum drying yields binder-free, flexible films compatible with roll-to-roll fabrication and existing Li-ion infrastructure.

Mechanistic Insights

  • Anion-Rich Solvation Sheath:
    Raman + ss-NMR show HNT⁺ promotes CIP/AGG species (57 %) vs HNT⁻ (41 %), weakening Li⁺–solvent coordination and widening the electrochemical window to 4.8 V.
  • Dendrite-Free Li Plating:
    SEM/XPS confirm smooth, dense Li deposits with >91 % Coulombic efficiency and 2× higher LiF content—no dead Li or dendrites even at 1 mA cm-2.
  • Inner-Tube Nano-Confinement:
    1D HNT lumen acts as a DMF reservoir, plasticizing the interface and relieving stress during volume expansion, extending cycle life under practical areal loadings (3.5–4 mAh cm-2).

Future Outlook

  • Next-Gen SSLMBs:
    The Li⁺-DI concept is material-agnostic—transferable to LLZO, MOF, or polymer fibers—offering a universal toolbox for solid-state Na, Zn, and multivalent batteries.
  • Fast Commercialization:
    With low-cost halloysite, eco-friendly processing, and record performance, NCCPEs are poised to bridge the lab-to-market gap for safe, energy-dense EV and grid-storage packs.
  • AI-Driven Optimization:
    Machine-learning integration of surface-charge descriptors could accelerate the discovery of next-wave nanofillers and push energy densities beyond 400 Wh kg-1.

This work establishes surface-charge engineering as a paradigm shift in composite electrolyte design, transforming inert nanofillers into active interfacial architects for dendrite-free, long-life solid-state batteries.

Stay tuned for more breakthroughs from Prof. Yu Wang and the Sichuan University team!


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