Before the charging behavior occurs, drivers often make charging decisions motivated by range anxiety. Traditional research on charging behavior mainly relies on psychological questionnaires and big data analysis, but these methods are subjective and limited. Therefore, this paper uses physiological signal studies as a supplement to provide objective and quantitative indicators. In this paper, by building an experimental platform and designing an experimental scheme, the electroencephalogram, electrocardiogram, electrodermal and electromyography signals of the subjects during simulated driving were collected. Through data processing and analysis, it is found that the EEG signal, ECG signal, EDA signal and EMG signal will change after the driver is stimulated by insufficient driving range. The experimental results show that there is a certain correlation between the driver's range anxiety state and physiological information, indicating that physiological signals can be used as an effective tool to evaluate and study range anxiety, and also provide a new solution for the driver's state detection before charging electric vehicles, which is of great significance for the popularization and promotion of electric vehicles.