Ing. Aniketh Chepuri
Abschluss: Master's in engineering, Technische Hochschule Deggendorf
München, Deutschland
Werdegang
Berufserfahrung von Aniketh Chepuri
6 Monate, Apr. 2015 - Sep. 2015
Product Development Engineer
e-motiontech
Description: • Considering the design parameter • In depth study of the suitable hall effect elements • Wheel speed sensor design configurations • Sensor testing
8 Monate, Aug. 2014 - März 2015
Master Thesis
Technologiecampus Cham
"Electric vehicle power train simulation and control" using a MATLAB/SIMULINK
6 Monate, Okt. 2013 - März 2014
Student Work
TH-Deggendorf
Topic: Sorting Items using robotics by RFID detector. • Items detected and placed in the corresponding batch. • Products are labelled by RFID. • Storing complete data in system. Hardware: ATMEL 89C51, PCB, Software : Keil, Eagle (PCB), XML
6 Monate, Okt. 2010 - März 2011
Student Trainee
JN Tech. University (Department of Electrical Engineering-Bachelor's Thesis)
Topic: ‘Direct Torque control of five phase Induction motor by eliminating harmonics’. Tools used: Simulink. • To improve the efficiency of the induction motor using Space Vector Modulation Technique. I had dealt with the simulation of the results with the SIMULINK
5 Monate, Feb. 2010 - Juni 2010
Working Student
Krest Technologies, Hyderabad.
Topic: ‘Design of Digital energy meter using micro-controller (8051)’. Tools used: Keil. • Implementation of basic Watt-Hour meter. • Measurement of Voltage (0- 120 Vrms), Current (0-30A) and Power Factor.
Ausbildung von Aniketh Chepuri
3 Jahre und 1 Monat, März 2012 - März 2015
Elektrotechnik (Automation and Energy Technology)
Technische Hochschule Deggendorf
Automotive Propulsion systems and Industrial Drives. Power Electronics, Control Engineering
4 Jahre und 10 Monate, Sep. 2006 - Juni 2011
Electrical and Electronics Engineering
Jawhar Lal Nehru Technological University, Hyderabad, India.
Electrical Circuit Theory, Power Electronics and Semi conductor Drives, Electrical Machines, Power Systems, Microprocessors and Micro Controllers, Digital Signal Processing and Very Large Scale ICs
Sprachen
Englisch
Fließend
Deutsch
Gut