Browsing by Author "Tuncay, R. N."

Now showing 1 - 4 of 4

Citation Count: 0
Design and Manufacture of Electric Powertrain and Its Cooling System for ITU EV Project
(Ieee, 2014) Ustun, O.; Cakan, M.; Tuncay, R. N.; Mokukcu, M. S.; Kivanc, O. C.; Mutlu, Y.; Tosun, G.
In recent years all expositions of cars show that every car manufacturing company is developing at least one electric vehicle. Recently, ITU ALEK (Istanbul Technical University Alternative Energy Club) members and its supervisor created an electric vehicle project called ITU EV (electric vehicle). This project is about developing a drive system for a conventional internal combustion engine (ICE) vehicle. The project which started in 2011, has four different main research areas. These are electric powertrain which includes water cooling design, battery part, controlling part, mechanical construction and outer design part. In this study, electric powertrain design, cooling calculations and design, and production parts of the project will be investigated. For electric drivetrain a special design of 70 kW BLDC (brushless dc) motor is produced and laboratory tests are made. The rated voltage is chosen as 355 V.
Citation Count: 3
Electro-Hydraulic Power Steering System Modelling for Parameter Fault Detection Based on Model Reference Adaptive Frame
(Ieee, 2016) Kivanc, O. C.; Ozturk, S. B.; Tuncay, R. N.; Kesici, E.; Yazi, C.
A simple and efficient fault detection and parameter monitoring algorithm for electro-hydraulic power steering (EHPS) system is proposed using model reference adaptive system (MRAS) without any additional sensor. In a faulty situation where the hydraulic system is disabled, assisted power is provided by an electric motor. Therefore, in low speed maneuvers, during sudden direction changes and parking, some parameters of an electric motor in EHPS are affected. These changes threaten the vehicle's driving reliability and performance of EHPS. In this study, an EHPS system with rotor flux estimation based adaptive driver torque control principle has been presented. The motor winding temperature is obtained for monitoring purpose with the help of MRAS stator resistance estimation. The proposed parameter estimation method for EHPS has been simulated by using AMESim and MATLAB/Simulink co-simulation model. Simulation results demonstrate the feasibility and effectiveness of the proposed method.
Citation Count: 9
On Regenerative Braking Capability of BLDC Motor
(Ieee, 2016) Kivanc, O. C.; Ustun, O.; Tosun, G.; Tuncay, R. N.
The solution for range problems in electric vehicles is implying two essential approaches: consuming electrical energy with maximised efficiency and regenerative braking. Regenerative braking can be implemented by using the any converter used for electric motor control without needing an extra power circuit. To accomplish recovering electrical energy from mechanical energy a voltage boosting operation is necessary which is causing the current flow from induced voltage due to the mechanical motion to battery. In this study, a brushless DC (BLDC) motor drive system used for light electric vehicle propulsion is modeled by considering non-linear effects. The developed model of the motor drive system is used for defining the upper limits and constraints of operation. Analytic calculations and simulation results represent the operation modes of the system when regenerative braking is applied.
Citation Count: 0
The Search for Adaptive Methods Filtering Out High-Noises and Their Application on Oil Complexes' Control Telemetry Systems
(Ieee, 2013) Yilmaz, M.; Ustun, O.; Zada, P. Ali; Tuncay, R. N.
This paper's domain is the application of well-known modern applied mathematical methods in a control structure of oil industry. Electrical Submersible Pumps (ESP) telemetry system allows for the obtaining of information in the neighborhood of different heavy electromagnetic noises. The telemetry system needs to receive accurate information on the pump unit's intake pressure, temperature and most importantly for the submersible electric motor, the stator cooling oil insulation resistance, for the successful exploitation of the ESP. But increasing disturbance levels with the corrupted analog telemetry signal are resulting in increasing noise levels; however, often it is still audible or the control is still reliable. Though, beyond a certain disturbance level, the so-called digital cliff, the digital telemetry signal and control may stop abruptly (Fig. 1). In this paper, an analog signal processing implementation was researched for the detection of the most efficient adaptive noise-cancelling filters among dozens of recognized ones for oil industry ESP telemetry systems of under severely noisy conditions. From ten applied adaptive filter algorithms, only three have shown successfully good results in the early prediction of the ESP electric motor real insulation disruption.