Zinc Electrode Cycling in Deep Eutectic Solvent Electrolytes: An Electrochemical Study.
Elisa EmanueleAndrea Li BassiAndrea MacrelliClaudio MeleJacopo StradaBenedetto BozziniPublished in: Molecules (Basel, Switzerland) (2023)
Among post-lithium ion battery technologies, rechargeable chemistries with Zn anodes bear notable technological promise owing to their high theoretical energy density, lower manufacturing cost, availability of raw materials and inherent safety. However, Zn anodes, when employed in aqueous electrolytes, suffer from hydrogen evolution, passivation, and shape changes. Alternative electrolytes can help tackle these issues, preserving the green and safe characteristics of aqueous-based ones. Deep eutectic solvents (DESs) are promising green and low-cost non-aqueous solvents for battery electrolytes. Specifically, the cycling of Zn anodes in DESs is expected to be reversible, chiefly owing to their dendrite-suppression capability. Nevertheless, apart from a few studies on Zn plating, insight into the cathodic-anodic electrochemistry of Zn in DESs is still very limited. In view of developing DES-based battery electrolytes, it is crucial to consider that a potential drawback might be their low ionic conductivity. Water molecules can be added to the eutectic mixtures by up to 40% to increase the diffusion coefficient of the electroactive species and lower the electrolyte viscosity without destroying the eutectic nature. In this study, we address the electrochemistry of Zn in two different hydrated DESs (ChU and ChEG with ~30% H 2 O). Fundamental electrokinetic and electrocrystallization studies based on cyclic voltammetry and chronoamperometry at different cathodic substrates are completed with a galvanostatic cycling test of Zn|Zn symmetric CR2032 coin cells, SEM imaging of electrodes and in situ SERS spectroscopy. This investigation concludes with the proposal of a specific DES/H 2 O/ZnSO 4 -based electrolyte that exhibits optimal functional performance, rationalized on the basis of fundamental electrochemical data, morphology evaluation and modeling of the cycling response.
Keyphrases
- ionic liquid
- solid state
- heavy metals
- ion batteries
- low cost
- high intensity
- high resolution
- computed tomography
- magnetic resonance imaging
- gold nanoparticles
- mass spectrometry
- induced apoptosis
- single molecule
- machine learning
- magnetic resonance
- oxidative stress
- climate change
- pi k akt
- molecularly imprinted
- case control
- raman spectroscopy
- capillary electrophoresis