基于机器学习的纯电动汽车未来工况预测

Driving Condition Prediction of Pure Electric Vehicles Based on Machine Learning

针对新能源汽车未来行驶工况难以精确预测从而导致电池荷电状态(SOC)无法准确估计的问题,基于数字地图实时车流信息,结合机器学习算法对纯电动汽车未来行驶工况进行实时在线预测,并在互联网分布式实车在环仿真平台上开展了试验验证。结果表明,所提出的行驶工况预测算法具有较高的实时性和准确性。

The difficulty in accurately predicting the future driving conditions of new energy vehicles leads to inaccurate estimation of the battery’s State Of Charge(SOC),to address this issue,this paper proposed a real-time online prediction of the future driving conditions of electric vehicles based on digital map real-time traffic information and machine learning algorithms,experimental verification was conducted on an Internet-distributed vehicle-in-the-loop simulation platform.The results show the proposed algorithm has high real-time performance and prediction accuracy.