电动汽车排放的改进差分进化算法

发布时间：2018-05-02 09:13

  本文选题：增程器 + CO、HC排放　； 参考：《智能系统学报》2017年01期

【摘要】：文章针对增程式电动汽车增程器燃油经济性和CO、HC排放问题进行优化。首先,将问题利用归一化和加权平均的方法转化为单一目标问题,以增程器外特性、功率区间需求和其他特性参数作为约束条件,利用MATLAB软件基于map图进行建模和仿真,使用改进的差分进化算法予以实现。最后,在AVL Puma Open台架实验平台上对HWFET工况下的增程器燃油经济性和CO、HC排放运用文章所提出的策略进行实验验证。实验结果表明,以增程器的燃油经济性和CO、HC排放为目标,可以实时精确地控制发动机转速、发电机转矩,有效实现降低整车油耗和排放。
[Abstract]:In this paper, the fuel economy and CONHC emission of range booster of extended range electric vehicle are optimized. Firstly, the method of normalization and weighted average is used to transform the problem into a single objective problem. The external characteristics of the range adjuster, the power interval requirements and other characteristic parameters are taken as the constraint conditions, and the MATLAB software is used for modeling and simulation based on the map graph. The improved differential evolution algorithm is used to implement it. Finally, on the AVL Puma Open bench platform, the fuel economy and the strategy proposed in the paper are verified. The experimental results show that the engine speed and generator torque can be accurately controlled in real time by taking the fuel economy and CONHC emission of the range booster as the target, and the fuel consumption and emission can be effectively reduced.
【作者单位】： 湖南大学电气与信息工程学院;
【基金】：国家高技术研究发展计划(“863”计划)基金项目(2012AA111004) 国家自然科学基金项目(61104088)
【分类号】：TP18;U469.72
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本文编号：1833287