动力传动系统
加速度
配置设计
汽车工程
帕累托原理
计算机科学
电动汽车
功率(物理)
优化设计
杠杆
选择(遗传算法)
数学优化
扭矩
工程类
数学
机械工程
人工智能
热力学
操作系统
机器学习
物理
经典力学
量子力学
作者
Hyunjun Kim,Dongsuk Kum
出处
期刊:IEEE-ASME Transactions on Mechatronics
[Institute of Electrical and Electronics Engineers]
日期:2016-12-01
卷期号:21 (6): 2912-2923
被引量:67
标识
DOI:10.1109/tmech.2016.2579646
摘要
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.
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