基于时变模型预测的电动汽车预测巡航控制研究

Dongmei Wu, Huanfeng Liu, F. Zhao, Y. Li
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引用次数: 1

摘要

针对整合前方道路地形信息的生态巡航控制问题,在传统模型预测控制理论的基础上,设计了线性时变模型预测控制器,以便在预测视界内输入实际坡度随时间变化的情况。利用MATLAB/Simulink对车辆在平坦路面和丘陵路面上的行驶情况进行了仿真分析,结果表明,以较短的行驶距离为代价取得了较好的节能效果。此外,还分析比较了不同控制目标下的能耗和相同控制目标下权重系数对整车经济性的影响。
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Research on Predictive Cruise Control of Electric Vehicle Based on Time-Varying Model Prediction
For the problem of ecological cruise control integrating the terrain information of the road ahead, in order to input the actual slope changed with time over the prediction horizon, a linear time-varying model predictive controller is designed in this paper based on the traditional theory of model predictive control. The analysis of vehicle driving on flat road and hilly road is simulated by MATLAB/Simulink, results show that it has a good effect on energy saving at the cost of shorter distance. In addition, the energy consumption under different control targets and the influence of weight coefficients on vehicle economy under the same target are also analyzed and compared.
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