K MANICKAVASAGAM
@nitttrbpl.ac.in
Professor in Department of Electrical and Electronics Engineering and Education
National Institute of Technical Teacher's Training and Research
RESEARCH, TEACHING, or OTHER INTERESTS
Electrical and Electronic Engineering, Electrical and Electronic Engineering
FUTURE PROJECTS
Health Monitoring and Prognosis of Electric Motors in Electric Vehicle
Electric mobility has become an essential part of the future of transportation. Detection, diagnosis and prognosis of fault in electric drives are improving the reliability, of electric vehicles (EV). Permanent magnet synchronous motor (PMSM) drives are used in a large variety of applications due to their dynamic performances, higher power density and higher efficiency. In this study, health monitoring and prognosis of PMSM is developed by creating intelligent digital twin (i-DT) in MATLAB/ Simulink.
Applications Invited
Collaborator
Scopus Publications
Scopus Publications
A. Senthil Kumar, Pramod K. Bhandiwad, and Krishnan Manickavasagam
Springer Nature Singapore
Viji UdayaSurian, Krishnan Manickavasagam, and Malathi Sathish
Springer Science and Business Media LLC
Viji UdayaSurian, Krishnan Manickavasagam, and Malathi. S
Springer Science and Business Media LLC
Sanjeet Kumar, Krishnan Manickavasagam, and A. S. Walkey
Springer Nature Singapore
Swathy Nair, K. Manickavasagam, and S. Nagaraja Rao
Springer Science and Business Media LLC
Prajwal K T, Krishnan Manickavasagam, and S Malathi
IOP Publishing
Abstract A primary method of energy harvesting from kinetic energy is constructed by levitating a magnet between stationary magnets in Levitation Based Energy Harvesting (LBEH). The levitating magnet movements are captured in the coil which is wound across magnets and the voltage is generated. Vertical movement of levitating magnet is only considered for designing LBEH. In this work, levitation magnet is allowed to move in vertical as well as in angular space with all directions. The two stationary magnets are replaced with one spring fixed at the bottom so that the levitation magnet absorbs vertical and angular movement due to vibration absorbed by the spring. This arrangement is realized with a mathematical model and simulation that results in conical shape of coil. The designed Conical Energy Harvester (CEH) is able to capture the movement of levitation magnet due to vibrations absorbed by the spring in all the directions. The simulation results indicate that the voltage developed by CEH is 1.27 times higher than that of voltage developed by LBEH.
Sachin S, Krishnan Manickavasagam, and A T Sriram
IEEE
Temperature rise in a 3ϕ, Totally Enclosed Fan Cooled (TEFC)., Squirrel Cage Induction Motor (SCIM) used in Electric Vehicles (EV) is effected by core loss. The temperature rise is a function of core loss and other losses. Since, the core loss components eddy current and hysteresis losses are a function of flux and flux density, Finite Element Method (FEM) is used to obtain average maximum flux density at different loads. Core loss is varying with respect to load and hence temperature rise, resistance value, starting torque to maximum torque $(\\displaystyle \\frac{T_{st}}{T_{\\max}})$ ratio and current drawn at $(\\displaystyle \\frac{T_{st}}{T_{\\max}})$ also varies which is so far assumed constant in reality. The analysis is made on the effect of core loss on SCIM used in EV for performance enhancement. The results reveals that when the variable core loss is considered, temperature rise is reduced and the SCIM rating is enhanced for 20%.
R Suchita, Jayashree P Yalawar, Anusha Vadde, K Manickavasagam, and Prashant Bekwad
IEEE
Three phase squirrel cage induction motors are widely used as industrial drives as they are self-starting, reliable and economical. In this paper, three phase squirrel cage induction motor is modeled, analyzed and simulated in Ansys MAXWELL-RMxprt, an electrical machine design tool. Magnetic flux lines and Magnetic flux density analyzed and animated using Finite Element Method in Ansys MAXWELL 2D. MATLAB software is used for computation of different power ratings of three phase SCIM. This research work mainly aims to remove the requirement of the high-cost dynamometer test procedure. The proposed mathematical tool is simple, more accurate and less expensive which will give efficiency of the three phase SCIM with minimum possible error. The proposed method is aided by the extraction of stray load losses using the Ansys MAXWELL-RMxprt software. Efficiency estimation using different methods are being calculated, verified and compared for four motors. Mainly focused on the 110kW SCIM employed in this research study.
Prajwal K T, Tejkumar K Makanur, Pradeep R, Manjula M, Varun Gowda S, and K Manickavasagam
IEEE
This paper provides a comprehensive overview of miniaturized vortex-induced bladeless wind turbines, highlighting their unique design principles, operational mechanisms, and potential applications in the renewable energy landscape for batteries and other sensor-based applications. Unlike conventional wind turbines that rely on rotating blades, vortex-induced bladeless wind turbines exploit the aerodynamic phenomenon known as the von Kármán vortex street to generate electricity. The project's background lies in the rapid growth of renewable energy for producing small values of voltages and current which can be used for sensors instead of batteries as it needs to be replaced very often. The energy conversion mechanisms, including piezoelectric materials and electromagnetic induction, are discussed in detail, shedding light on the efficiency and reliability of this novel technology. We have designed 3D CAD Model using SolidWorks and setup a controlled testing domain for fluid simulation analysis to analyze the performance of our prototype.
Senthil Kumar A, Krishnan Manickavasagam, and Pramod K Bhandiwad
Institute of Electrical and Electronics Engineers (IEEE)
S. Sachin, Krishnan Manickavasagam, and A. T. Sriram
Informatics Publishing Limited
The 3ɸ - Squirrel Cage Induction Motor (SCIM) used in industrial are prone to thermal breakdown due to its working conditions. Losses in the motor cause rise in temperature. Losses estimation of the 3ɸ - SCIM play a very important role in analyzing the electrical and thermal performances. In this paper a Lumped Parameter Thermal Model (LPTM) and Finite Element Method (FEM) is used to estimate the temperature rise in 3ɸ - SCIM. The temperature rise is obtained considering loss, with load variation between no-load to full load conditions, this enables to analyse the application of induction motor in mines. In addition to that a comparative analysis is carried out between Lumped Parameter Thermal Model (LPTM) and Finite Element Method (FEM) to determine the effective method to estimate temperature rise and determine the relative percentage error in temperature rise at various elements of 3ɸ - SCIM.
S. Sachin, Krishnan Manickavasagam, and A. T. Sriram
Informatics Publishing Limited
The demand for effective operation of induction motor has become necessary in industrial, domestic, manufacturing, excavation, mines and many other applications. Losses estimation of the Induction Motor play a very important role in analyzing the electrical and thermal performances. Traditionally copper loss is estimated using load current and core losses is assumed constant, as it is difficult to measure core loss. An additional sensor must be place in air gap of the motor to measure core loss, increasing the complexity and uneconomical. Hence in this paper, a Finite Element Method (FEM) is used to estimate the core losses on 3ɸ - 15kW Squirrel Cage Induction Motor (SCIM) at various load conditions. A generalized mathematical model is needed to predict the core loss of the motor at various load conditions. Hence a generalized mathematical model proposed using regression technique is validated with conventional approach.
Prajwal Kogodu Thirthappa and Manickavasagam Krishnan
Walter de Gruyter GmbH
Abstract Levitation based energy harvester (LBEH) is an energy harvesting technology which is used to convert the existing kinetic energy into electrical energy. The technique utilizes a levitating magnet which in a closed container vibrate or moves for the subjected vibrations. An outer coil which will extract energy into electrical voltage is carefully selected or designed or the rating. In this research work, a conventional LBEH is designed, simulated, and studied for a particular vibration data. The same is carried out in the FEM analysis software. The system is also mathematically derived and analyzed in the numerical tool. The results obtained from the numerical and FEM tool are compared. At the end of the research work, a parametric study is carried out for the variations in the input characteristics such as frequency, nature of vibrations and other parameters. Results obtained indicate that the power developed is maximum with a value of 0.7 V and 10 mW for the designed natural frequency of 10 Hz and decreases on either side as the bandwidth varies from 5 to 15 Hz.
S. Sachin, Krishnan Manickavasagam, and A.T. Sriram
Elsevier BV
Shweta S Hooli, Anusha Vadde, Govind R Kadambi, and Krishnan Manickavasagam
IEEE
This work is carried out to understand flux distribution around induction motor and their influence on human health. High-capacity Squirrel Cage Induction Motor (SCIM) draws huge currents; hence, the colossal flux density is emitted around the motor. When the leakage flux interfere with high-frequency electromagnetic waves, the influence on a human being is more dominant than power frequency. Time domain Finite Element Analysis (FEA) is performed to get an accurate instant value of magnetic flux distribution in and around motor a 15kW, SCIM. A 3D human head is modelled using FEA and placed in the vicinity of magnetic leakage flux mixed with high-frequency electromagnetic waves. The simulation reveals that magnetic leakage flux from SCIM is harmful to humans. The main objective of this work is to identify safe regions and create awareness of magnetic leakage flux, which can cause human health problems.
Senthil Kumar A and Krishnan Manickavasagam
Institute of Electrical and Electronics Engineers (IEEE)
K. T. Prajwal, K. Manickavasagam, and R. Suresh
Springer Science and Business Media LLC
Senthil Kumar A and Krishnan Manickavasagam
Institute of Electrical and Electronics Engineers (IEEE)
S. Sachin, Krishnan Manickavasagam, and A. T. Sriram
Praise Worthy Prize
Jayanth B, V. Sailaja, K. Deepa, and K. Manickavasagam
IEEE
The work focuses on how to overcome discriminating environment on buying and selling price of the power in a micro grid. An intermediate system is built to overcome the discriminate environment on real time scenario. Case study with different kinds of loads is carried out to ensure both suppliers and consumers of the micro grid are equally handled over a distributive system. The system works according to the consumer's interaction with the grid. A grading system is introduced to push the respective consumers to the higher level based on the interaction with the grid, thus providing non-discriminating environment. This mechanism will encourage consumers to participate in the grading system and more number of suppliers to join the system. The base of the system is carried using IEEE 44 bus for 2 micro-grids and the simulation is carried out in MATLAB. The system is built on JAVA platform for long run.
Jayashree P Yalawar, R. Suchita, Anusha Vadde, K Manickavasagam, and Prashant Bekwad
IEEE
Three phase Squirrel Cage Induction Motors (SCIM) are widely used as industrial drives due to their self-starting, reliable and economical feature. The estimation of the refurbished/rewound SCIM’s working efficiency is given priority in this work. The conventional test set up used by manufacturing industry may not be feasible solution for estimating the efficiency of refurbished/rewound SCIM due to transportation and other issues. Current Vector Method (CVM) and Modified IEEE Standard 112 Equivalent Circuit Method (Modified IEEE Std. ECM) are used based no-load availability of the data. The measured stray load losses are accounted in estimating the efficiency. Hence, the expensive dynamometer test procedure is removed. The proposed methods are simple, more accurate and less expensive which will give minimum possible error. Efficiency estimation using different methods are being calculated, verified and compared for three different rating of three phase SCIM. Mainly focused on the 110kW SCIM carried out in this research work.
Sohail Khazi, Anusha Vadde, Krishnan Manickavasagam, Govind R. Kadambi, Venkat Narayanan, B. M. Lokesh, Swapan Sarkar, and Jagadeesha
Springer Singapore
Shweta S Hooli, Anusha Vadde, Krishnan Manickavasagam, and Govind R Kadambi
IEEE
Detection of low-level electrical winding faults in Squirrel Cage Induction Motor (SCIM) is prime importance in Electric Vehicle (EVs). This analysis is carried out to predict flux distribution inside and outside of SCIM using Finite Element Analysis (FEA). In FEA, time domain analysis is performed to determine flux at the instant of fault with respect to time whereas steady state analysis will not give such a results. Flux distribution provides significant information about the behavior of SCIM. For analyzing the leakage flux in the surface vicinity of SCIM a 15kW machine is chosen. The analysis indicates magnetic flux distribution and ideal location of flux sensor. From FEM model, leakage flux on the surface of SCIM is captured and exported to MATLAB for health monitoring. Fuzzy rule base is developed for mapping the flux with health monitoring of SCIM used in Electric Vehicle (EV). Continuous health monitoring of the machine is captured by fuzzy controller and displayed in EV or vehicle monitoring centre.
Sudha B, Anusha Vadde, and Krishnan Manickavasagam
IEEE
Sudha. B, , Anusha Vadde, Krishnan Manickavasagam, Govind R Kadambi, , , and
Journal of Engineering Research
Induction motor usage is increasing drastically due to new entrant of electric vehicle, traction and propulsion systems at present. Temperature of electric motors are significantly affect its parameters. Since, resistances variation of stator and rotor winding are depend on temperature, the torque speed characteristics also affects in the induction motors. In this paper, a innovative approach is proposed to arrive the relation of temperature on torque. Thermal analysis of 160 L-frame induction motors is carried out using Finite Element Method (FEM) under various load to obtain temperature. The mathematical relationship between temperature and torque is arrived using curve fitting technique. The expression arrived in this method is used to predict the torque for a given temperature of SCIM.