基于两轮车的混合动力汽车系统切换控制

Arockia Vijay Joseph, G. JoselinRetnaKumar
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引用次数: 3

摘要

本文为混合动力汽车的动力传动系开发了一个试验台,并结合了一种切换控制方法,以解决发动机和电机功率之间的电气切换所经历的时间延迟问题,从而实现平稳的动力传输到车轮,从而降低油耗。设计并制造了一个完整的动力传动系试验台。开发了一种传统的基于顺序的切换控制算法,以使用每单位时间的转数作为切换参数,在电机低速和发动机高速的情况下操作系统。对记录的输出进行分析,并将混合动力车辆动力系的性能效率与传统内燃(IC)发动机进行比较。
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Switching Control in Hybrid Vehicle System Based Two Wheeler
This paper develops a test bed for a hybrid vehicle’s power train along with a switching control methodology to address the time delay experienced in electrical switching between engine and motor power to achieve smooth power transmission to the wheels, thus reducing fuel consumption. A complete test bed for the power train is designed and fabricated. A conventional sequential-based switching control algorithm is developed to operate the system with a motor at low speeds and the engine at higher speeds, using the number of rotations per unit time as the switching parameter. The logged output is analyzed and the performance efficiency of the hybrid vehicle powertrain is compared against conventional internal combustion (IC) engines.
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来源期刊
International Journal of Automation and Smart Technology
International Journal of Automation and Smart Technology Engineering-Electrical and Electronic Engineering
CiteScore
0.70
自引率
0.00%
发文量
0
审稿时长
16 weeks
期刊介绍: International Journal of Automation and Smart Technology (AUSMT) is a peer-reviewed, open-access journal devoted to publishing research papers in the fields of automation and smart technology. Currently, the journal is abstracted in Scopus, INSPEC and DOAJ (Directory of Open Access Journals). The research areas of the journal include but are not limited to the fields of mechatronics, automation, ambient Intelligence, sensor networks, human-computer interfaces, and robotics. These technologies should be developed with the major purpose to increase the quality of life as well as to work towards environmental, economic and social sustainability for future generations. AUSMT endeavors to provide a worldwide forum for the dynamic exchange of ideas and findings from research of different disciplines from around the world. Also, AUSMT actively seeks to encourage interaction and cooperation between academia and industry along the fields of automation and smart technology. For the aforementioned purposes, AUSMT maps out 5 areas of interests. Each of them represents a pillar for better future life: - Intelligent Automation Technology. - Ambient Intelligence, Context Awareness, and Sensor Networks. - Human-Computer Interface. - Optomechatronic Modules and Systems. - Robotics, Intelligent Devices and Systems.
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