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العنوان
MODEL BASED DESIGN OF AN ELECTRIC TURBOCHARGED SYSTEM FOR OVERALL EFFICIENCY IMPROVEMENT AND ENERGY RECOVERY/
المؤلف
Shoman, Mohamed Mohamed Gouda.
هيئة الاعداد
باحث / محمد محمد جوده عبدالحميد شومان
مشرف / محمد أحمد ابراهيم عبد العزي
مشرف / احمد محمد طاهر علاء الدين
مشرف / وليد أبو السعود عبد الهادي أبو السعود
تاريخ النشر
2023.
عدد الصفحات
211 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة الميكانيكية
تاريخ الإجازة
1/1/2023
مكان الإجازة
جامعة عين شمس - كلية الهندسة - هندسة القوى الميكانيكية
الفهرس
Only 14 pages are availabe for public view

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Abstract

The thesis focuses on the design and optimization of electric turbocharger systems for internal combustion engines (ICEs) to improve their efficiency and reduce emissions. The study uses
1D simulation models to predict the performance of these systems.
The findings suggest that the addition of a wastegate valve to the electric turbocharger system provides more precise control over the boost pressure, thus resulting in improving engine performance, efficiency, and control over emissions. For this case, the optimal operating point was determined to lie within the range of 0% to 30% wastegate opening, with the specific point which varies in accordance with the engine speed.
The study showed that the efficient operating point for the electric turbocharger system changes as the engine RPM changes. The use of eTurbo technology resulted in an improvement of about 9% in equivalent brake specific fuel consumption (EBSFC) at 6000 RPM compared to the turbocharged engine without eTurbo. The use of Organic Rankine Cycle (ORC) technology to recover waste heat from the engine and convert it into usable power was investigated. The results showed that ORC can be used in vehicle engines, and it has the potential to improve engine efficiency and reduce emissions.
The thesis indicates that the development of electric turbocharger systems for ICEs is an important step toward achieving more sustainable transportation systems. Future research can explore the development of advanced control strategies for waste gate valve control, particularly in the context of variable geometry turbochargers (VGTs). Additionally, research can be conducted to investigate the use of artificial intelligence (AI) and machine learning techniques to develop predictive control strategies for electric turbocharger systems. The thesis suggests evaluating the performance of electric turbocharger systems with alternative fuels and investigating the integration of electric turbocharger systems with hybrid vehicles.
Keywords: electric-assisted turbocharger, internal combustion engine, efficiency improvement, engine performance, optimal operating point, equivalent brake specific fuel consumption, eTurbo technology, organic Rankine cycle, waste heat recovery.