The technological essence and philosophical significance of the Metaverse

Metaverse is a word of great concern in the second half of 2021. What is Metaverse, what is its technical essence and what kind of philosophical significance? These problems are not clear at present. In terms of connotation, the Metaverse is a broader space formed by the integration of the natural universe and the virtual universe. In the future, human beings will walk freely between the natural universe and the virtual universe. From the technical perspective, Metaverse is a general term for the comprehensive integration of information space-time formed by a series of new information technologies such as Internet, big data, artificial intelligence and blockchainfrom the perspective of philosophical essence, the Metaverse gives full play to people’s subjective initiative, so that people can use the world’s data and information to reconstruct a virtual new universe, surpass various natural and social constraints of the natural universe and carry out free ideological innovation. People can even become a new “creator”, resulting in new cosmology, body and mind, creation, cognition and ethic

The Effect of Voltage Dataset Selection on the Accuracy of Entropy-Based Capacity Estimation Methods for Lithium-Ion Batteries

It is important to accurately estimate the capacity of the battery in order to extend the service life of the battery and ensure the reliable operation of the battery energy storage system. As entropy can quantify the regularity of a dataset, it can serve as a feature to estimate the capacity of batteries. In order to analyze the effect of voltage dataset selection on the accuracy of entropy-based estimation methods, six voltage datasets were collected, considering the current direction (i.e., charging or discharging) and the state of charge level. Furthermore, three kinds of entropies (approximate entropy, sample entropy, and multiscale entropy) were introduced, and the relationship between the entropies and the battery capacity was established by using first-order polynomial fitting. Finally, the interaction between the test conditions, entropy features, and estimation accuracy was analyzed. Moreover, the results can be used to select the correct voltage dataset and improve the estimation accuracy