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In this paper, a new state of charge estimation method for lithium battery has been presented.
A novel architecture of SnO2 nanorods grown on graphite has been synthesized by a simple hydrothermal method for lithium ion battery.
This study not only provides a simple synthesis method for lithium ion batteries, but also helps in designing novel and high performance electrode materials.
The lime soda evaporation process using brine lake water is the major extraction method for lithium, but this process is not only inefficient and time-consuming but also causes a few environmental problems.
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Nonlinear Frequency Response Analysis (NFRA) is a novel dynamic analysis method for Lithium-ion batteries.
Thereby the method of NFRA is seen as an important additional dynamic analysis method for Lithium-ion batteries.
This paper proposed an improved unscented particle filter (IUPF) method for lithium-ion battery RUL prediction based on Markov chain Monte Carlo (MCMC).
This paper presents an intelligent state of charge (SOC) and state of health (SOH) estimation method for lithium-ion batteries using an input time-delayed neural network.
This work gives a deeper understanding of the nonlinear response of a Lithium-ion battery and as such of how to apply this analysis method for Lithium-ion battery state estimation.
A custom test fixture and a method for quantifying lithium are described.
Our study not only provides a facile synthetic method for both lithium-ion and sodium-ion batteries, but also exploits a novel way to the combination of Se-based compounds and carbon matrix.
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