Intertwined Nanotube Electrode Network for Fast, Dendrite-Safe Storage
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Solution Overview
Problem
Current energy storage technologies, such as batteries and capacitors, face limitations in achieving high energy and power capacity while ensuring safety, due to issues like dendrite formation, limited electrolyte improvement, and voltage constraints, leading to inefficiencies and hazards like explosions.
Innovation Solution
The development of nano-devices featuring a mesh of conductive nanostructures, including carbon nanotubes and nanoparticle networks with insulating layers, which reduce ion diffusion distance and increase surface area, allowing for faster charging and safer energy storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If lithium ion batteries use high surface area electrodes to increase energy density, then energy capacity is improved, but dendrite formation occurs causing safety hazards
Solution Approach 1:
The patent segments the electrode structure into nanoscale components (nanoparticles, nanowires, nanotubes) arranged in interconnected networks. This segmentation reduces ion diffusion distances and eliminates the conditions that lead to dendrite formation while maintaining high surface area for energy storage
Solution Approach 2:
The patent changes the dimensional parameters of electrode materials to the nanoscale regime (1-100 nm), fundamentally altering ion transport kinetics and eliminating dendrite formation while preserving high energy density through increased surface area-to-volume ratios
2Quantity of substance
If capacitor electrodes are made thicker to increase energy storage, then energy capacity is improved, but the distance between electrodes increases reducing electric field amplitude
Solution Approach 1:
The patent transitions from planar electrode geometry to three-dimensional interconnected nanonetworks, allowing energy storage capacity to scale volumetrically while maintaining minimal inter-electrode distances through the porous network structure
Solution Approach 2:
The patent employs porous nanoscale electrode structures that provide high surface area for charge storage while maintaining open pathways for ion transport and preserving small effective distances between opposing electrodes, thus maintaining high electric field amplitudes
3Reliability
If electrolyte ionic fluid flow is limited to prevent dendrites, then safety is improved, but charge and discharge rates become slow
Solution Approach 1:
The patent segments the electrolyte transport pathways into numerous parallel nanoscale channels within the porous electrode network, allowing high total ion flux while maintaining low current density in each channel, thus enabling fast charging without dendrite formation
Solution Approach 2:
The patent changes the characteristic length scale of ion transport from micrometer to nanometer dimensions, dramatically increasing the number of parallel transport pathways and total surface area available for charge transfer, enabling rapid charging while maintaining safety
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
These nano-devices achieve significantly higher energy and power densities, faster charging rates, and extended cycle life, while minimizing safety risks, with the potential to store energy 10-50 times more densely and charge 100-2000 times faster than conventional devices.
Implementation Method 1
the ions still need to pass through electrolyte medium with limited diffusion
Implementation Method 2
electrochemical plating of lithium is known to generate dendrites
Implementation Method 3
nanoparticle network comprises a plurality of nanoparticles in electrical contact
Implementation Method 4
mesh of conductive nanostructures (nanowires or nanotubes) in electrical contact
Data Source
AI summary
A nano-device comprising: a mesh of carbon nanotubes; and a nanoparticle-nanowire-network (NNN) embedded within the mesh of conductive nanostructures, wherein the NNN comprises a plurality of nanoparticles connected by a plurality of nanostructures (nanowires).