Abstract:

At the peak of electric vehicle power battery decommissioning,the gradient utilization of batteries has attracted much attention.The mileage of car is an important index to define the aging degree of the battery.To accurately model the range and battery health of the vehicle,the mileage of the electric vehicle is regarded as the research object.On the basis of long short-term memory network,the influence of characteristic parameters including battery system voltage,current,temperature,SOC on the training result of neural network is analysed.Finally,the three-dimensional characteristics of equivalent mileage,discharge cycle power consumption and voltage average value are selected as the input of the neural network model.The best prediction model for the endurance of electric vehicle is obtained.The root mean square error of the prediction result on the test set is 10.81 km.The method is beneficial to electric vehicle energy management and power battery performance degradation evaluation.

Key words: electric vehicles, lithium-ion battery, vehicle range, gradient utilization, long short-term memory network (LSTM)