Study on Energy Consumption Prediction by Demonstration Experiment for EV Charging Navigation System

Abstract

This study shows performance evaluation of a data-driven prediction model for energy consumption of electric vehicles (EVs) on expressways by using data obtained from a demonstration experiment where the authors and testers from the public actually drove EVs with the proposed EV charging navigation system in 2018. By comparing actual energy consumption and predicted one, we have found that the predicted model has a good prediction accuracy, whereas predicted results tend to deviate from actual ones in the region where actual energy consumption is 15 kWh or more. We also confirmed a possibility that high velocity may degrade prediction performance. With respect to error of state of charge (SOC), most of the SOCs calculated by the prediction model do not have more than 20% error, which may lead to run-out of electricity of EV. Although the prediction model is effective in respect of SOC error, the result indicates a necessity that automatic grouping and prediction model based on such groups should be studied as a future work.