Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Efficiency Optimization of a Direct Torque Controlled Induction Motor used in Hybrid Electric Vehicles
Date
2011-09-10
Author
Sergaki, Eleftheria S.
Moustaizis, Stavros D.
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
212
views
0
downloads
Cite This
The main contribution of this paper is the application of Loss Minimization control algorithm of a three-phase squirrel-cage induction motor which is used in parallel with an internal combustion engine (ICE), in hybrid electric vehicles (HEY). During steady state operation of the electric motor, the electric motor's optimal motor flux profile minimizes the electric motor losses and maximizes the overall HEN efficiency, hybridization factor (HF). During steady state operation of the direct torque controlled (DTC) induction motor, loss minimization is achieved by adjusting the magnitude of the stator flux reference as a function of the vehicle driver (pedal acceleration) and the coordinated control. The proposed stator flux optimization method initially uses a Loss Model Controller (LNIC) which provides the real time fast gross approximation or the optimum motor flux and sequential uses a real time fuzzy logic search controller (FLSC). The FLSC control system, provides the real-time refinement of the motor's flux adjustment on the basis or search during the steady states. Due to the FLSC the electric motor's flux level fluctuates in steps until the measurement of electric motor's input electric power settles at a minimum. The dynamic model of the electric motor and the suggested control algorithm designed by using the MATLAB/Fuzzy Logic Toolbox. The control algorithm is validated by numerical results by using the digital signal processor of eZdspF212 (TM). Experimental results will be available upon conclusion of the laboratory testing on a 10 hp, 500 kg HEY in which an 5 hp IM is coupled in parallel with an ICE on the drive shaft of the wheels.
Subject Keywords
Efficiency optimization
,
Flux control
,
Loss minimization
,
Search controller (SC)
,
Drect torque control
,
Hybrid electric vehicle
URI
https://hdl.handle.net/11511/65476
Collections
Unclassified, Conference / Seminar
Suggestions
OpenMETU
Core
Comparison of Matrix Converter Induction Motor Drive Control Methods
Lettl, Jiri; Kuzmanovic, Dragan; Fligl, Stanislav (2011-09-10)
In this paper, the implementation of the Field Oriented Control and the Direct Torque Control in matrix converter supplied induction motor drives is analysed, and compared with the implementation in drives supplied by the Voltage Source Inverter. The analysis is accompanied by the results of numerical simulations and experimental implementations of these two control methods.
Energy and Time Optimal Autopilot for Electric Vehicles Performing Ackerman Cornering
Ahiska, Kenan; Özgören, Mustafa Kemal; Leblebicioğlu, Mehmet Kemal (2022-03-01)
This paper studies energy and time optimality of electric vehicles during constant Ackerman steering along a quad-circle, and proposes an autopilot assimilating the optimal results. The energy and time optimal solutions satisfying the steering and battery limitations are generated and a Pareto-front analysis is carried out with multi-objective optimization using NSGA-II algorithm. In the autopilot design, the indicators for the energy and time optimality performances are merged in a vehicle status vector. A...
Energy Optimal Controller for Electric Vehicles on Partially Icy Roads with Heuristic Skidding Compensation
Ahiska, Kenan; Özgören, Mustafa Kemal; Leblebicioğlu, Mehmet Kemal (2015-10-16)
In this study, a mathematical model is constructed for an electric vehicle. An energy optimal controller is designed for the gross motion model of the vehicle moving on a positive constant slope road with some icy parts. The energy optimal controller takes torque, speed and battery constraints into account. The loss of control during skidding period is compensated with an additional control command based on heuristics. The compensation is based on an enrichment of applied control input throughout the sectio...
Modeling and optimization of hybrid electric vehicles
Özden, Burak Şamil; Ünlüsoy, Yavuz Samim; Department of Mechanical Engineering (2013)
The main goal of this thesis study is the optimization of the basic design parameters of hybrid electric vehicle drivetrain components to minimize fuel consumption and emission objectives, together with constraints derived from performance requirements. In order to generate a user friendly and flexible platform to model, select drivetrain components, simulate performance, and optimize parameters of series and parallel hybrid electric vehicles, a MATLAB based graphical user interface is designed. A basic siz...
Efficiency Control of Single Phase Induction Motor Drive
Asadabadi, Y. Abdellahi; Markadeh, Gh. R. Arab; Soltani, J.; Heidar, R. (2011-09-10)
Single-phase induction motors are widely used in home appliances and industrial control. The multispeed operation and multipurpose operation are provided by controlling the speed of these motors. This paper presents variable-frequency motor drive system implemented by PWAI voltage source inverter, to improve a single-phase induction machine (SIM) efficiency.
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
E. S. Sergaki and S. D. Moustaizis, “Efficiency Optimization of a Direct Torque Controlled Induction Motor used in Hybrid Electric Vehicles,” 2011, p. 398, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/65476.