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Online Optimal Energy Distribution of Composite Power Vehicles Based on BP Neural Network Velocity Prediction
Mathematical Problems in Engineering ( IF 1.430 ) Pub Date : 2021-09-15 , DOI: 10.1155/2021/2519569
Qingjian Jiang 1, 2 , Zhijun Fu 3 , Qiang Hu 4
Affiliation  

In this paper, an online optimal energy distribution method is proposed for composite power vehicles using BP neural network velocity prediction. Firstly, the predicted vehicle speed in the future period is obtained via the output of a BP neural network, where the current vehicle driving state and elapsed vehicle speed information is used as the input. Then, according to the predicted vehicle speed, an energy management method based on model predictive control is proposed, and online real-time power distribution is carried out through rolling optimization and feedback correction. Cosimulation results under urban drive cycle show that the proposed method can effectively improve the energy efficiency of composite power sources compared with the commonly used method with the assumption of prior known driving conditions.

中文翻译:

基于BP神经网络速度预测的复合动力汽车在线优化能量分配

本文提出了一种基于BP神经网络速度预测的复合动力汽车在线最优能量分配方法。首先,通过BP神经网络的输出获得未来时段的预测车速,其中当前车辆行驶状态和经过的车速信息被用作输入。然后,根据预测的车速,提出一种基于模型预测控制的能量管理方法,通过滚动优化和反馈修正进行在线实时功率分配。城市驾驶工况下的联合仿真结果表明,在假设先验已知驾驶条件的情况下,与常用方法相比,所提出的方法可以有效提高复合电源的能源效率。
更新日期:2021-09-15
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