基于模型预测控制的混合动力汽车电源管理与控制

P. Chakraborty, Bedatri Moulik
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引用次数: 1

摘要

为了提高燃油经济性和减少排放,混合动力汽车(HEV)应运而生。能源管理系统已经开发出来,我们可以利用电力系统和内燃机的操作点。本文建立了典型的功率分割混合动力汽车模型。为了提高对期望速度设定点的跟踪能力,在受到输入和输出约束时使用模型预测控制。在功率分路混合动力系统中,采用串联与并联相结合的结构,以获得不同的工作模式。利用行星齿轮组完成机械发电的组合和分离。通过模型预测控制,实现了混合动力汽车在不同工况下的接近最优的燃料和能量管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power Management and Control of HEV using Model Predictive Control
In this date to improve the fuel economy and get less emission, Hybrid Electric Vehicle (HEV) is developed. Energy management system has been developed where we can exploit the operating points of both the electrical system and the internal combustion engine. Typical power-split HEV model is built in this paper. To improve the tracking of the desired speed set points, Model Predictive control is used when subjected to the input and output constraints. The combination of both the series and parallel architecture is used in power split HEV to get different modes of operation. The combination and split of mechanical power generation is done with the use of planetary gear set. So near optimal fuel and energy management is done for the different modes of operation of the HEV with the implementation of Model Predictive Control.
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