Modeling and Simulation of Hybrid Electric Vehicles for Speed Control Using Intelligent Techniques

被引：0
|
作者：
Ansari, Mohd Afshan [1 ]
Singh, Gaganprit [1 ]
Singh, Amit Kumar [1 ]
Mishra, Sachin [1 ]
机构：
[1] Amity Univ Uttar Pradesh, Dept Elect & Elect Engn, Noida, Uttar Pradesh, India
来源：
2016 7TH INDIA INTERNATIONAL CONFERENCE ON POWER ELECTRONICS (IICPE) | 2016年
关键词：
Hybrid Electric Vehicle (HEV); Adaptive Neuro Fuzzy Inference System (ANFIS); Tractive; Fuel Cell Vehicle (FCV);
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Electric vehicles are considered as better solutions for green technology in the field of transportation due to their user and eco-friendly interface. Generally speaking the hybrid vehicle system, they are prone to multiple errors regarding the speed performance and an intelligent monitoring layer can ensure smooth operation and inform any maintenance issues. In this work we present an interface which integrates multiple AI and signal processing techniques to control the functioning of hybrid vehicles and monitoring the speed by ensuring smooth performance in a very short span of time. We demonstrate the thought process, simulation, final software interface and test results to confirm its effectiveness.
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页数：5
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