Comparison of power-split and parallel hybrid powertrain architectures with a single electric machine: Dynamic programming approach
Comparison of power-split and parallel hybrid powertrain architectures with a single electric machine: Dynamic programming approach
复制标题
具有单个电机的功率分配和并联混合动力系统架构的比较：动态规划方法
DOI：
10.1016/j.apenergy.2016.02.023
复制
发表时间：
2016-04
期刊：
影响因子：
11.2
通讯作者：
裴换鑫
中科院分区：
文献类型：
--
作者：
杨亚联;胡晓松;裴换鑫
由于发动机运行灵活性有限，单电机并联混合动力汽车（HEV）的燃油经济性仅从控制角度难以提高。然而，从设计的角度来看，很可能在动力系统上设计多种操作模式以实现更好的燃料经济性。因此，本文提出了一种具有SEM的速度耦合HEV系统，该系统具有11种模式，包括电动汽车（EV）模式、3种再生制动模式、发动机启动模式、电动可变变速器（EVT）模式、并联HEV模式、仅发动机模式和3种充电模式。动态规划（DP），作为一种全局优化算法，利用该系统的燃料消耗最小化。为了进行比较，P1和P2 HEV系统也使用相同的车辆参数通过DP进行了检查。对比结果表明，P2混合动力汽车比P1混合动力汽车节省约6.68%的燃油消耗，而速度耦合混合动力汽车可以观察到更多的改善，与P1混合动力汽车的燃油消耗减少13.82%。
Due to limited flexibility of engine operation, it is uneasy to improve the fuel economy of parallel hybrid electric vehicles (HEVs) with a single electric machine (SEM) from control perspective only. However, from design perspective, it is likely to devise multiple operating modes on a powertrain system to achieve better fuel economy. Therefore, in this paper, a velocity coupling HEV system with a SEM has been proposed, which has eleven modes, including an electric vehicle (EV) mode, three regenerative braking modes, an engine-start mode, an electrically variable transmission (EVT) mode, a parallel HEV mode, an engine-only mode, and three charging modes. Dynamic Programming (DP), as a global optimization algorithm, is leveraged to minimize the fuel consumption of this system. For comparison purposes, the P1 and P2 HEV systems are also examined by DP using the same vehicular parameters. Comparative results indicate that the P2 HEV saves about 6.68% fuel consumption over the P1 HEV, while more improvement can be observed from the proposed velocity coupling HEV, with 13.82% fuel consumption reduction over the P1 HEV.
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DOI：
10.1109/vppc.2005.1554527
发表时间：
2005-12
期刊：
2005 IEEE Vehicle Power and Propulsion Conference
影响因子：
--
作者：
M. Koot;J. Kessels;B. D. Jager
通讯作者：
M. Koot;J. Kessels;B. D. Jager
DOI：
10.1109/cmce.2010.5610088
发表时间：
2010-10
期刊：
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering
影响因子：
--
作者：
Fushun Zhu;Hongwen He;Yi Lin;Guofei Li
通讯作者：
Fushun Zhu;Hongwen He;Yi Lin;Guofei Li
影响因子：
3.3
作者：
Yang Zhang;H. Lin;B. Zhang;C. Mi
通讯作者：
Yang Zhang;H. Lin;B. Zhang;C. Mi
影响因子：
11.2
作者：
N. Onat;M. Kucukvar;O. Tatari
通讯作者：
N. Onat;M. Kucukvar;O. Tatari
影响因子：
6.8
作者：
Liang Li;Bingjie Yan;Chao Yang;Yuanbo Zhang;Zheng Chen;Guirong Jiang
通讯作者：
Liang Li;Bingjie Yan;Chao Yang;Yuanbo Zhang;Zheng Chen;Guirong Jiang