邓涛;罗远平;程栋;罗俊林;

• 1:重庆交通大学

摘要(Abstract)：

为解决传统自适应等效燃油消耗最小策略(A-ECMS)SOC波动频繁和存在坡度时控制效果不佳的问题,提出基于改进型灰色预测的车速预测算法和基于卡尔曼滤波估计坡度的线性拟合函数的坡度预测算法,实现未来短期道路工况(即车速和道路坡度)的预测,从而提出基于道路工况预测的A-ECMS。仿真结果表明,该算法能很好地预测未来短期道路工况,所提出的能量管理策略相比基于SOC反馈的A-ECMS燃油经济性提高了6.54%,电池SOC更稳定且更好地维持在初始值附近。

关键词(KeyWords)： 混合动力汽车;能量管理;车速预测;坡度预测;仿真

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(51305473);; 中国博士后科学基金项目(2014M552317);; 重庆市博士后研究人员科研项目(xm2014032)

作者(Authors): 邓涛;罗远平;程栋;罗俊林;

DOI: 10.19620/j.cnki.1000-3703.20180332

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