Journal
JOURNAL OF POWER SOURCES
Volume 539, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.jpowsour.2022.231614
Keywords
All-solid-state thin-film Li-Ion battery (ASSTFB); Coupled modeling; Capacity degradation; Low working temperatures
Funding
- National Key R&D Program of China [2020YFB2007400]
- Fundamental Research Funds for the Central Universities [30920041118, 3206002203C3]
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A fully coupled electrochemical-mechanical-thermal model was established to investigate the behavior of all-solid-state thin-film Li-ion batteries at low temperatures. It was found that mass-transfer overpotential across the electrolyte and charge-transfer overpotential at the cathode/electrolyte interface are key factors affecting battery performance.
All-solid-state thin-film Li-ion batteries (ASSTFBs) have been regarded as a promising power source for microsystems. The main bottleneck of ASSTFBs is that its capacity degrades significantly with decreasing working temperatures, which has been ascribed to the huge mass-transfer overpotential across the solid-state electrolyte because of its low ion conductivity. In this work, a fully coupled electrochemical-mechanical-thermal model is established to investigate the behaviors of ASSTFBs with a typical LiCoO2/LiPON/Li ASSTFB configuration, especially at low temperatures. Numerical simulation is also performed based on this fully coupled model. The simulation results agree well with the experimental data in a wide temperature range (243 K-353 K) and current rate (30 mu A cm-2 to 300 mu A cm-2), verifying the effectiveness and accuracy of this fully coupled model. Moreover, based on this model, it is found that both mass-transfer overpotential across the electrolyte and chargetransfer overpotential at the cathode/electrolyte interface are the key factors determining the ASSTFB performance at room temperatures; for comparison, the charge-transfer overpotential at the cathode/electrolyte interface plays the dominant role at low temperatures. This work provides a deep insight into the ASSTFB behaviors as well as its performance optimization strategy, particularly at low temperatures.
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