Embedded System Design and Implementation of an Intelligent Electronic Differential System for Electric Vehicles
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 9
Abstract
This paper presents an experimental study of the electronic differential system with four-wheel, dual-rear in wheel motor independently driven an electric vehicle. It is worth bearing in mind that the electronic differential is a new technology used in electric vehicle technology and provides better balancing in curved paths. In addition, it is more lightweight than the mechanical differential and can be controlled by a single controller. In this study, intelligently supervised electronic differential design and control is carried out for electric vehicles. Embedded system is used to provide motor control with a fuzzy logic controller. High accuracy is obtained from experimental study.
Authors and Affiliations
Ali UYSAL, Emel SOYLU
Keywords
Related Articles
- EP ID EP260702
- DOI 10.14569/IJACSA.2017.080918
- Views 78
- Downloads 0
Using Hybrid Evolutionary Algorithm based Adaptive Filtering
Noise degrades the overall efficiency of the data transmission in the networking models which is no different in Cognitive Radio Adhoc Networks (CRAHNs). For efficient opportunistic routing in CRAHN, the Modified SMOR (M...
Differentiation of Brain Waves from the Movement of the Upper and Lower Extremities of the Human Body
Currently, the study of brain waves has shown a type of alternative communication, in addition to the different applications that can be made with the brain waves obtained from each individual. The OpenBCI is an open sou...
Enhancement in System Schedulability by Controlling Task Releases
In real-time systems fixed priority scheduling techniques are considered superior than the dynamic priority counterparts from implementation perspectives; however the dynamic priority assignments dominate the fixed prior...
An Accelerated Architecture Based on GPU and Multi-Processor Design for Fingerprint Recognition
Fingerprint recognition is widely used in security systems to recognize humans. In both industry and scientific literature, many fingerprint identification systems were developed using different techniques and approaches...
Optimized K-Means Clustering Model based on Gap Statistic
Big data has become famous to process, store and manage massive volumes of data. Clustering is an essential phase in big data analysis for many real-life application areas uses clustering methodology for result analysis....