Comprehensive Design Methodology of Input- and Output-Split Hybrid Electric Vehicles: In Search of Optimal Configuration

Comprehensive Design Methodology of Input- and Output-Split Hybrid Electric Vehicles: In Search of Optimal Configuration
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DOI:
10.1109/tmech.2016.2579646
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发表时间:
2016-06
期刊:
IEEE/ASME Transactions on Mechatronics
影响因子:
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通讯作者:
Hyunjun Kim;Dongsuk Kum
Hyunjun Kim;Dongsuk Kum
中科院分区:
其他
文献类型:
--
作者:
Hyunjun Kim;Dongsuk Kum

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尽管功率分流式混合动力电动汽车(PS-HEV)具有很高的潜力,但其设计和控制问题却不容忽视。例如,有24种方式将四个部件(两个电机,一个发动机和一个车轮)与行星齿轮(PG)连接起来,而有一千多种方式与两个PG连接起来。此外,当PG和最终传动比被认为是设计变量时,找到满足高燃料经济性和短加速时间的最佳设计是一个挑战。在本文中,提出了一个系统的配置搜索方法,找到一个最佳的单PG PS-HEV配置的性能指标。首先,通过识别所有可能的单个PG配置并将其重组为复合杠杆设计空间,在连续设计空间中探索性能指标。然后,将设计映射到“燃油经济性-加速性能”平面上,解决多目标配置选择问题。因此,一个非常有前途的配置(“o 6”),它优于普锐斯设计的加速性能,是选择帕累托边界。对一辆运动型多用途车的规格进行了案例研究。该研究表明,候选配置的性能指标变化显着,因此,选择一个合适的配置是至关重要的,以唤起给定的动力总成部件的全部潜力。
Despite high potentials of power-split hybrid electric vehicles (PS-HEV), their design and control problems are nontrivial. For instance, there exist 24 ways of connecting four components (two electric machines, an engine, and a vehicle wheel) with a planetary gear (PG), and more than thousand ways with two PGs. Furthermore, when PG and final drive ratios are considered design variables, finding an optimal design that fulfills both high fuel economy and short acceleration time is a challenge. In this paper, a systematic configuration searching methodology is proposed to find an optimal single PG PS-HEV configuration for both performance metrics. First, by identifying all the possible single PG configurations and reorganizing them into a compound lever design space, the performance metrics are explored in the continuous design space. Then, the designs are mapped onto the “fuel economy - acceleration performance” plane to solve the multiobjective configuration selection problem. Thus, a highly promising configuration (“o6”), which outperforms Prius design in the acceleration performance, is selected among Pareto Frontier. A case study has been conducted on a sport utility vehicle specification. The study illustrates that the performance metrics of candidate configurations change significantly, and thus, selecting a proper configuration is crucial to evoke full potential of the given powertrain components.