摘要
针对传统混合动力汽车控制方法不考虑队列行驶对车辆能量管理影响的问题,本文提出了基于队列行驶的混合动力汽车节能预测控制智能优化策略。通过建立混合动力汽车系统的降阶模型,并采用连续广义最小残量方法求解模型预测控制问题。运用计算机进行仿真,仿真结果验证了系统模型的有效性,以及所设计的模型预测控制算法大幅度提高混合动力汽车的燃油经济性的能力和实时控制性能。
This paper proposed model predictive control intelligent optimization strategies based on vehicle platooning for hybrid electric vehicles to deal with energy management problems without consideration of vehicle platooning in conventional control strategies. The reduced order system model was developed. The model predictive control problem was solved using continuation/generalized minimum residual method. The simulation was conducted using computers. The results showed that the proposed model is effective, and the proposed model predictive control method can improve fuel economy significantly and can be implemented in real-time
出处
《系统仿真技术》
2015年第3期207-212,共6页
System Simulation Technology
基金
国家自然科学基金(51405137)
河南省高等学校重点科研项目(15A470014)
焦作市2014年科技计划项目(2014110013)
河南理工大学博士基金(60807/010)
河南理工大学创新型科研团队支持计划基金(T2015-2)
关键词
模型预测控制
混合动力汽车
队列行驶
model predictive control
hybrid electric vehicles
vehicle platooning