
Article Fingerprint
ReserarchID
REO74E4
Choose where you want to hide AI Takeaway. Your site-wide choice will be remembered in this browser.
This paper focuses on the improvement of fuel consumption, vehicle performance, and driving aggressiveness for Hybrid Electric Vehicles (HEV) using epicyclic power split transmission (PST). In this paper, three and four branch transmission system models are analyzed and implemented into two HEVs. The modeling of the hybrid electric vehicle performance is carried using the QSS Toolkit. The models for the two vehicles are built based on the same baseline vehicle with the same vehicle parameters but with different transmissions. The vehicles are simulated over typical driving cycles; New European Driving Cycle (NEDC) and USA Federal Test Procedure FTP 75. The HEV results are also compared against a conventional IC engine plus manual gearbox vehicle. Computer programs for the analysis of epicyclic transmission based on a matrix method are developed and used. The simulations show that the 4 branch epicyclic offers substantial improvements of reduction in energy consumption, though the benefits are sensitive to the driving cycle used.
Dr. Ahmed Elmarakbi. 1970. "Epicyclic Power Split Transmissions for Hybrid Electric Vehicles: Fuel Consumption, Vehicle Performance and Driving Aggressiveness". Global Journal of Research in Engineering - B: Automotive Engineering GJRE-B Volume 13 (GJRE Volume 13 Issue B1).
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
v1.2
Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.
Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.
Total Score: 138
Country: United Kingdom
Subject: Global Journal of Research in Engineering
Authors: Dr. Ahmed Elmarakbi, Qinglian Ren, Rob Trimble (PhD/Dr. count: 1)
View Count (all-time): 367
Total Views (Real + Logic): 6758
Total Downloads (simulated): 596
Publish Date: 2013 02, Sun
Monthly Totals (Real + Logic):
We use cookies and similar technologies to improve site performance, understand traffic, and enhance your publishing experience. Cookie Policy
Choose which optional cookies Global Journals can use. Your preference applies across this platform and can be updated any time.
These cookies are required for core website functionality and security.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.