Stochastic model predictive energy management for series hydraulic hybrid vehicle
Stochastic model predictive energy management for series hydraulic hybrid vehicle
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DOI：
10.1109/icma.2011.5986284
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发表时间：
2011-08
期刊：
影响因子：
--
通讯作者：
Daiwei Feng;Dagui Huang;Dinggen Li
中科院分区：
文献类型：
--
作者：
Daiwei Feng;Dagui Huang;Dinggen Li
研究了随机模型预测控制（SMPC）方法在串联式液压混合动力汽车（SHHV）功率管理策略中的应用。驾驶员的速度需求被表示为一个随机马尔可夫过程。在MATLAB/SIMULINK中建立了SHHV动力传动系统的前向闭环模型并进行了仿真。SMPC中的预测模型采用逐次在线线性化的方法。在一个标准的驱动周期的仿真结果显示SMPC的性能优于其他确定性的方法。
This paper investigates the application of stochastic model predictive control (SMPC) methodology for developing power management strategies tailored for the serial hydraulic hybrid vehicle (SHHV). The velocity demand from the driver is expressed as a random Markov process. A forward-facing closed-loop model of the SHHV powertrain is built and simulated in MATLAB/SIMULINK. The predictive model in SMPC is formulated by successive on-line linearization. The simulation results over a standard driving cycle are presented to show the improved performance of SMPC over other deterministic approaches.