The state of charge and state of health of lithium-ion cells are predicted by integrating the partial differential equation of Fick’s law of diffusion from a single particle model into the neural network training process. The results indicate that PINN can estimate the state of charge with a ...
At the same time, individual differences in non-verbal intelligence (Raven’s total score and C series), and vocabulary subtest of the verbal intelligence tests, were negatively correlated with the network segregation measures. Our results show that resting-state EEG functional connectivity can ...
The maximum error point for all three models occurs at the early stage of B0006 and at the capacity regeneration point of B0007. This is because the initial data is small and the capacity regeneration phase does not obey the time decay law. As can be seen in Figure 8, compared to ...