Abstract: Disclosed herein is an apparatus comprising an electrode active layer comprising a network of high aspect ratio carbon elements defining void spaces within the network; a plurality of electrode active material particles disposed in the void spaces within the network and enmeshed in the network; and a surface treatment on the surface of the high aspect ratio carbon elements which promotes adhesion between the high aspect ratio carbon elements and the active material particles.

Abstract: A method for crowd-sourced compensation ranging is provided, the method including, at least, inclusion, analysis and application of a wide variety of available compensable factors, including one or more crowd-sourced compensable factors.

Abstract: An automated business method for matching education, salary and other employment-related data is disclosed. In one example embodiment, the automated business method includes integrating of two or more neural networks to match job-related services.

Abstract: Electrochemical models for the lithium-ion battery are useful in predicting and controlling its performance. The values of the parameters in these models are vital to their accuracy. However, not all parameters can be measured precisely, especially when destructive methods are prohibited. In some embodiments of the present disclosure, a parameter estimation approach is used to estimate the open circuit potential of the positive electrode (Up) using piecewise linear approximation together with all the other parameters of a single particle model. Up and 10 more parameters may be estimated from a single discharge curve without knowledge of the electrode chemistry using a technique such as a genetic algorithm. Different case studies were presented for estimating Up with different types of parameters of the battery model. The estimated parameters were then validated by comparing simulations at different discharge rates with experimental data.