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作 者:Kukhyun Ahn Sungtae Cho Suk Won Cha
机构地区:[1]School of Mechanical and Aerospace Engineering,Seaul National University,seonl,Republic of korea [2]Research and Development Division,NGVTek,Republic of Korea
出 处:《传动技术》2010年第3期38-40,共3页Drive System Technique
摘 要:本文讨论如何处理好控制混合电动车辆的动力系,基于多目标优化推荐了一个功率分流混合电动车辆的优化工作。开发了一个准静态动力系模型,探索了整个工作选择的空间,以便找到一个可达到的最佳工作可选择的组合。采用这种概念,开发了二种模拟:模拟一是基于等量燃油消耗量最小,其二是采用动态优化。按结果的分析和比较,按最小的等量燃油消耗找出几乎最高的效率,作为按优化控制模拟求得理论上最大的性能。结果除了在高动力负荷工况外不表示显著的差异。根据这个分析,同时为车辆在纯电动车辆工作模式推荐了一个临界值。A discussion on how to manage the hybrid electric vehicle powertrain is dealt with in this paper. An approach to analyse the optimal operation of a power-split hybrid electric vehicle is suggested on the ba sis of multi-objective optimization. A quasi-static powertrain model is developed and an entire space of operational choices is explored in order to find an attainable set of the optimal operation candidate group. Using this concept, two types of simulation are developed: the first simulation is based on the minimization of the equivalent fuel consumption and the latter simulation uses dynamic optimization. By analysing and comparing the results, choosing a single optimal operation point by minimizing the equivalent fuel consumption was found to give almost as high an energy efficiency as the theoretical maximum performance obtained by optimal control simulation. The results did not show a noticeable difference except in the case of high-power load conditions. From this analysis, a threshold is also proposed for vehicle operation in the pure electric vehicle mode.
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