Charge Time Prediction Model of Power Battery based on Random Forest algorithm

Abstract

Power battery is the core equipment of electric vehicles. The function of power battery is to realize power supply for vehicles. The charge time of power battery is the key to ensure the effectively use of vehicles. Predicting the charge time of power battery in advance can improve system operating efficiency. This paper establishes a power battery charge time prediction method for power battery based on random forest algorithm. Firstly, important fuel parameter data is collected and the influence of the associated data on the charge time of the power battery is analyzed; Secondly, a random forest regression algorithm is developed, where the training set data is used to predict and model the charge time of the power battery; Finally, test set data is used to conduct a comprehensive simulation on the established prediction model. The results show that the model prediction data can fit well with the measured data, indicating the effectiveness of the power battery charge time prediction model in this paper.