The dataset is derived from Monte Carlo simulations, generating EV charging power curves. For training the Physics-Informed Neural Networks (PINNs), we have statistically organized the data with the x-axis representing the State of Charge (SoC) state space, the y-axis representing time, and the z-axis representing the corresponding number of electric vehicles. The z-axis data has been normalized. The uploaded data is intended for training within the PINN framework to obtain the EV aggregation model and its parameters.