K. Karthikumar

@veltech.edu.in

Associate Professor /EEE
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology

K. Karthikumar


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https://researchid.co/kumarkk1

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Energy Engineering and Power Technology, Environmental Engineering
30

Scopus Publications

312

Scholar Citations

8

Scholar h-index

7

Scholar i10-index

Scopus Publications

  • Analysis of Fifteen and Thirteen-Level Novel Cascaded Inverter Design
    Narmitha D, Karthikumar K, Chandrasekar P
    Ssrg International Journal of Electrical and Electronics Engineering, 2025
    Purpose: This study aims to develop enhanced Cascaded Multilevel Inverter (CMLI) topologies for 15- and thirteen-level operation with a reduced number of switches, while maintaining low Total Harmonic Distortion (THD) and high efficiency for applications that include energy from renewable sources and Electric Vehicle (EV) drives. Design/methodology/approach: The proposed inverters employ asymmetric DC sources and a reduced switch architecture combined with novel Level-Shifted Pulse-Width Modulation (LSPWM). The system was modelled and validated using MATLAB/Simulink simulations to examine the output voltage quality, efficiency, harmonic performance, and switching loss. Findings: The simulation results confirm that the 13-level and 15-level inverter designs achieve efficiencies above 94% with significantly lower switch counts compared to those of conventional cascaded H-bridge inverters. The proposed topologies yielded THD values of 8.08% and 7.39% for 13- and 15-level inverters, respectively. The switching losses and voltage stress are condensed through the reduced-switch approach, resulting in a compact and cost-effective system Originality/value: Unlike typical CHB inverters, which need a significant number of switches and independent sources, the proposed architectures provide high-quality output with fewer components. A comparative analysis demonstrated that reduced-switch LSPWM-based designs improve the harmonic performance, efficiency, and cost-effectiveness. Therefore, they are appropriate for EV motor drives and Photovoltaic (PV) applications.
  • Efficient Energy Management System for AC–DC Microgrid and Electric Vehicles Utilizing Renewable Energy With HCO Approach
    S. Sruthi, K. Karthikumar, P. Chandrasekar
    Energy Storage, 2025
    The reliability of various energy sources can be increased and distributed production and renewable energy can be fully integrated into the power grid on a wide scale through the growth and development of the microgrid (MG). Global energy difficulties are brought about by the finite supply of fossil fuels and the world's expanding energy consumption. Due to these challenges, the electric power system has to convert to a renewable energy‐based power generation system to produce clean, green energy. However, because of the unpredictable nature of the environment, the shift toward the use of renewable energy sources raises uncertainty in the production, control, and power system operation. This manuscript proposes a renewable energy‐based energy management system for electric vehicles and AC–DC MGs. The proposed method is Hermit Crab Optimizer (HCO). The major goal of the proposed strategy is to supply steady power regardless of generation disparity, which should stop the storage devices from degrading too quickly. The HCO approach provides a stable power balance for MG operation. The proposed technique efficiently strikes a power balance to meet load requirements and recharge electric cars. By then, the proposed strategy is implemented in the MATLAB platform and the execution is computed with the existing procedure. The proposed technique displays better outcomes in all existing systems like biogeography‐based optimization (BBO) algorithm, particle swarm optimization (PSO) algorithm, genetic algorithm (GA), and artificial neural network (ANN). The existing technique shows the cost of 25$, 30$, 35$, 40$, and the proposed technique displays the cost of 20$ which is lower than the other existing techniques.
  • An enhanced approach-based grid flexibility analysis for combined heat and power systems with variable renewable energy systems
    C Kalaivani, L Umasankar, Chandrashekhar Badachi, K Karthikumar
    Energy and Environment, 2025
    An enhanced approach-based grid flexibility analysis for combined heat and power (CHP) systems with variable renewable energy systems is proposed in this article. The proposed system is the combined execution of White Shark Optimizer (WSO) and Pelican Optimization Algorithm (POA). The WSO approach updating behavior is enhanced by the POA approach hence named as enhanced WSO technique. The main purpose of the proposed technique is to provide the optimal grid flexibility by utilizing the CHP systems. Utilizing the proposed method, the demand for the sources is predicted in the year 2030. The proposed approach considers the optimization problem as a reduction of cost and analyzes the flexibility in both upward and downward directions. The sources like photovoltaic, wind turbine, hydropower plants, nuclear, and coal demand power are analyzed. Based on the seasons, the proposed approach analyzed the system flexibility. Finally, the performance of the proposed method is simulated in MATLAB/Simulink platform and the performance is compared to the various existing methods.
  • Design and Simulation of Improved Fast Charging Technique for Modern Electric Vehicle
    Sharavanan M, K. Karthikumar, K. Karunanithi
    2025 IEEE International Students Conference on Electrical Electronics and Computer Science Sceecs 2025, 2025
  • Power Saving Systems for Electric Vehicles Using Arudino and PWM Technology
    G. Sai Tejaswini, U. Geetha, M. Rishith, K. Karthikumar, P. A. Gowri Sankar
    International Conference on Electrical Energy Systems Icees, 2025
    The increasing popularity of electric vehicles (EVs) demands the deployment of effective energy management systems to deliver better performance and sustainability. One of the most important challenges is reducing energy wastage with functional operation. The present research solves excessive power consumption by EVs through a solution offered by an Arduino microcontroller. The overall objective is to increase battery life and enable maximum energy distribution while ensuring functionality. The proposed system comprises real-time energy monitoring, power-saving-optimized operational modes, and intelligent power distribution by four relays—two for auxiliary systems (e.g., the light and fan), one for normal motor operation using an H-bridge, and one for the power-saving mode PWM-controlled motor switching. A variable duty cycle module enables the regulation of frequency and speed to ensure efficient running at low speeds. The originality of the solution is through the integration of innovative PWM-based control with Arduino-driven automation for maximum coverage distance with energy saving, and this makes a contribution to energy-efficient EV system design.
  • Explainable AI for Fault Localization in High-Voltage Electric Marine Propulsion Systems
    Sharada Prasad N, Aruljothi Kuppannan, K L Kishore, Saranya D, V V Satyanarayana Tallapragada, K. Karthikumar
    Proceedings 2025 International Conference on Recent Innovation in Science Engineering and Technology Icriset 2025, 2025
    Electric marine propulsion systems that operate at high voltages are critical and fast failure diagnosis is needed aboard modern naval as well as commercial ships to ensure safety and less operational downtime. Traditional diagnotic approaches usually do not generalize well over complex fault conditions and black-box AI models do not provide the transparency required in areas of safety-critical performance. The proposed framework involves Graph Neural Network (GNN) with SHapley Additive exPlanations (SHAP) to achieve the interpretability of the fault localization. The GNN represents the propulsion system as a graph with a set of electrical components nodes and connections, allowing characterization of spatial and topological fault patterns. Unlike many other approaches, HAP analysis offers the intuitive explanation of features since the contribution of each signal between sensors to the diagnostic result is quantified. MATLAB/Simulink simulation analysis shows that the presented algorithm allows achieving high accuracy of localization and provides the marine engineers with actionable insights. The present work proposes explainable AI uses in marine engineering that addresses the gap between fault detection performance and interpretability by humans.
  • A new optimal space vector modulation with DTC switching strategy for induction motor control
    Ahmad Omar Deab, K. Karthikumar, Marimuthu Karuppiah, P. A. Gowri Sankar
    International Journal of Applied Power Engineering, 2024
    Efforts to achieve swift and precise dynamic torque control have been central in AC drive research. Recent advancements in embedded computer systems have highlighted direct torque control (DTC) and field-oriented control (FOC) as key methods for enhancing torque dynamics, both utilizing space vector modulation (SVM) to optimize voltage source inverter positioning. This study introduces a novel synthesis by integrating DTC with SVM to address limitations in conventional DTC, which suffers from limited voltage vector availability, leading to undesirable torque behavior and significant current fluctuations. The primary goal is to develop an optimal switching modulator for the fastest torque response through the combined application of DTC and SVM. The proposed strategy optimizes DC bus usage, reduces torque fluctuations, minimizes total harmonic distortion in AC motor current, decreases switching losses, and ensures seamless digital system integration. Simulations using MATLAB/SIMULINK demonstrate significant torque, current, and flux linkage ripple reductions, validating the approach's effectiveness. This integration overcomes established limitations, extending the capabilities of motor control methodologies and offering enhanced performance and operational integrity in induction motor drive systems.
  • A hybrid methodology based battery power management and torque control of open-end winding induction motor drive for electric vehicles
    K. Karthikumar, Ahmad Omar Deab, S. Ramesh
    Journal of Energy Storage, 2024
  • Harnessing digitalization and internet of things for sustainable energy: A comprehensive study
    Gautam Solaimalai, S. Anitha Janet Mary, Vidya Kamma, Malini K. V., K. Karthikumar, M. Sudhakar
    Navigating the Circular Age of A Sustainable Digital Revolution, 2024
    This chapter explores the relationship between digitalization, IoT, and sustainable energy, highlighting their potential in transforming the energy landscape, driving efficiency, and enabling smarter energy management. It discusses the role of data analytics, AI, and machine learning in optimizing energy systems, enhancing predictive maintenance, and enabling demand-side management. The chapter also addresses cybersecurity risks and data privacy concerns in implementing digital solutions. It calls for collaboration among stakeholders to foster innovation and accelerate sustainable energy solutions adoption. It also calls for policy frameworks to incentivize investment in digital infrastructure and IoT-enabled devices. The chapter concludes by offering recommendations for policymakers, industry leaders, and researchers to utilize digital technologies for a sustainable and equitable energy future.
  • An efficient power management control strategy for grid-independent hybrid renewable energy systems with hybrid energy storage: Hybrid approach
    S. Sruthi, K. Karthikumar, P. Chandrasekhar
    Journal of Energy Storage, 2024
  • Advanced Energy Management System for Hybrid AC/DC Microgrids with Electric Vehicles Using Hybridized Solution
    S. Sruthi, Dr. K. Karthikumar, Dr. P. ChandraSekar
    International Journal of Electrical and Electronics Research, 2024
  • Optimising direct torque control with battery power management for open-end winding induction motor drive in electric vehicles using the light spectrum optimiser algorithm
    Ahmad Omar Deab, K. Karthikumar, S. Ramesh
    International Journal of Electric and Hybrid Vehicles, 2024
  • Analysis of Cascaded H-Bridge Multilevel Inverter for Three-Phase Induction Motor Drive
    D. Narmitha, Dr. K. Karthikumar, Dr. P. ChandraSekar
    International Journal of Electrical and Electronics Research, 2024
  • Cascaded H Bridge Inverter Fed Motor Drive for Electric Vehicle Applications
    D. Narmitha, K. Karthikumar, P. Chandrasekar, P.A. Gowri Sankar
    10th International Conference on Electrical Energy Systems Icees 2024, 2024
  • A Hybrid Approach to Optimal Power Allocation in MIMO-NOMA: Integrating DGNN and Tyrannosaurus Optimization
    Anurag Vijay Agrawal, A. Anuradha, Kranti D Patil, Vilaskumar Patil, K. Karthikumar, S V V Satyanarayana Tallapragada
    4th International Conference on Sustainable Expert Systems Icses 2024 Proceedings, 2024
  • Energy recovery from waste animal fats and detailed testing on combustion, performance, and emission analysis of IC engine fueled with their blends enriched with metal oxide nanoparticles
    T. Sathish, Ümit Ağbulut, Vinod Kumari, G. Rathinasabapathi, K. Karthikumar, N. Rama Jyothi, Sumanth Ratna Kandavalli, T. Vijay Muni, R. Saravanan
    Energy, 2023
  • An SOA-RBFNN approach for the system modelling of optimal energy management in grid-connected smart grid system
    Karthikumar Kuppusamy, Senthil Kumar Vairakannu, Karuppiah Marimuthu, Udhayaraj Natarajan, Krishnakumar Sekar
    Artificial Intelligence Review, 2023
  • Transformer-Less Grid Connected PV System Using TSRPWM Strategy with Single Phase 7 Level Multi-Level Inverter
    S. Sruthi, K. Karthikumar, D. Narmitha, P. Chandra Sekhar, K. Karthi
    Smart Grids for Smart Cities Volume 1, 2023
  • Enhancement of power quality with UPQC in grid integrated and battery assisted PV system
    G. Rajasekhar Reddy, N. K. Rayaguru, K. Karthikumar, P. Chandrasekar, PSSN Murthy
    Aip Conference Proceedings, 2022
  • Investigations on Off-Grid Hybrid Renewable Energy Microgrid for Sustainable Development Growth
    K. Karunanithi, S. P. Raja, S. Ramesh, K. Karthikumar, P. Chandrasekar, K. Aruna Rani
    Journal of Circuits Systems and Computers, 2022
  • Advanced AI based Controller for Wind Turbine Pitch Control
    Mahesh Prakash Joshi, S. Mallikarjunaiah, SeeramSrinivasa Rao, B. Umarani, K KarthiKumar, Sai Subramaniam
    6th International Conference on I Smac Iot in Social Mobile Analytics and Cloud I Smac 2022 Proceedings, 2022
  • A Machine Learning-Based Novel Energy Optimization Algorithm in a Photovoltaic Solar Power System
    Kalapala Prasad, J. Samson Isaac, P. Ponsudha, N. Nithya, Santaji Krishna Shinde, S. Raja Gopal, Atul Sarojwal, K. Karthikumar, Kibrom Menasbo Hadish
    International Journal of Photoenergy, 2022
  • Enhancement of Power Quality with Fuzzy Based UPQC in Grid Integrated and Battery Assisted PV System
    G. Rajasekhar Reddy, N.K. Rayaguru, K. Karthikumar, P. Chandrasekar, PSSN Murthy
    2021 2nd Global Conference for Advancement in Technology Gcat 2021, 2021
  • A new opposition crow search optimizer-based two-step approach for controlled intentional islanding in microgrids
    K. Karthikumar, V. Senthil Kumar
    Soft Computing, 2021
  • Design a electric vehicle charger based sepic topology with pi controller
    M. Karuppiah, P. Dineshkumar, K. Karthikumar
    Proceedings of 2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering Icadee 2020, 2020
  • A new protection scheme for PQ events prediction and classification in distribution system: A SSO-ANN strategy
    K Karthikumar, V Senthil Kumar, M Karuppiah
    Measurement and Control United Kingdom, 2019
  • A transformerless buck-boost converter with PID controller (closed loop controller)
    M Karuppiah, K Karthikumar, A Arunbalj
    Proceedings of the 2017 IEEE International Conference on Intelligent Techniques in Control Optimization and Signal Processing Incos 2017, 2017
  • Implementation of parameters monitoring and controlling system using wireless communication
    Arpn Journal of Engineering and Applied Sciences, 2017
  • Improved DC power distribution with multi-input single-control systems using boost converter
    International Journal of Applied Engineering Research, 2015
  • Modeling of solar panel as gendralised structure
    International Journal of Applied Engineering Research, 2015

RECENT SCHOLAR PUBLICATIONS

  • IoT-Application Based on Control and Monitoring System for Single-Phase Induction Motor
    S Danajeyan, KS Babu, K KarthiKumar, S Prakash
    International Journal of Engineering & Extended Technologies Research … , 2026
    2026
  • Power Saving Systems for Electric Vehicles Using Arudino and PWM Technology
    GS Tejaswini, U Geetha, M Rishith, K Karthikumar, PAG Sankar
    2025 11th International Conference on Electrical Energy Systems (ICEES), 140-146 , 2025
    2025
  • Efficient energy management system for AC–DC microgrid and electric vehicles utilizing renewable energy with HCO approach
    S Sruthi, K Karthikumar, P Chandrasekar
    Energy Storage 7 (1), e70054 , 2025
    2025
    Citations: 2
  • An enhanced approach-based grid flexibility analysis for combined heat and power systems with variable renewable energy systems
    C Kalaivani, L Umasankar, C Badachi, K Karthikumar
    Energy & Environment 36 (1), 3-31 , 2025
    2025
    Citations: 8
  • Energy management system for hybrid AC/DC microgrids and electric vehicles-based on clouded leopard optimization control
    S Sruthi, K Karthikumar, P ChandraSekar
    Pedagogical Revelations and Emerging Trends, 243-248 , 2025
    2025
    Citations: 2
  • Design and Simulation of Improved Fast Charging Technique for Modern Electric Vehicle
    M Sharavanan, K Karthikumar, K Karunanithi
    2025 IEEE International Students' Conference on Electrical, Electronics and … , 2025
    2025
  • Analysis of Cascaded H Bridge Multilevel Inverter for Three-Phase Induction Motor Drive
    D Narmitha, K Karthikumar, P ChandraSekar
    International Journal of Electrical and Electronics Research 12 (Special … , 2024
    2024
    Citations: 1
  • A hybrid methodology based battery power management and torque control of open-end winding induction motor drive for electric vehicles
    K Karthikumar, AO Deab, S Ramesh
    Journal of Energy Storage 97, 112565 , 2024
    2024
    Citations: 3
  • Cascaded H Bridge Inverter Fed Motor Drive for Electric Vehicle Applications
    D Narmitha, K Karthikumar, P Chandrasekar, PAG Sankar
    2024 10th International Conference on Electrical Energy Systems (ICEES), 1-9 , 2024
    2024
    Citations: 3
  • An efficient power management control strategy for grid-independent hybrid renewable energy systems with hybrid energy storage: Hybrid approach
    S Sruthi, K Karthikumar, P Chandrasekhar
    Journal of Energy Storage 95, 112325 , 2024
    2024
    Citations: 27
  • Advanced Energy Management System for Hybrid AC/DC Microgrids with Electric Vehicles Using Hybridized Solution
    S Sruthi, K Karthikumar, P Chandrasekar
    International Journal of Electrical and Electronics Research 12 (3), 740-745 , 2024
    2024
    Citations: 2
  • A new optimal space vector modulation with dtc switching strategy for induction motor control
    AO Deab, K Karthikumar, M Karuppiah, PAG Sankar
    Int. J. Appl. Power Eng 13 (4), 862-873 , 2024
    2024
    Citations: 4
  • Optimising direct torque control with battery power management for open-end winding induction motor drive in electric vehicles using the light spectrum optimiser algorithm
    AO Deab, K Karthikumar, S Ramesh
    International Journal of Electric and Hybrid Vehicles 16 (3), 277-296 , 2024
    2024
  • Energy recovery from waste animal fats and detailed testing on combustion, performance, and emission analysis of IC engine fueled with their blends enriched with metal oxide …
    T Sathish, Ü Ağbulut, V Kumari, G Rathinasabapathi, K Karthikumar, ...
    Energy 284, 129287 , 2023
    2023
    Citations: 142
  • Transformer‐Less Grid Connected PV System Using TSRPWM Strategy with Single Phase 7 Level Multi‐Level Inverter
    S Sruthi, K Karthikumar, D Narmitha, P Chandra Sekhar, K Karthi
    Smart Grids for Smart Cities Volume 1, 213-226 , 2023
    2023
  • Implementation of a Novel 51-Level Asymmetrical Cascaded Multilevel Inverter for Photo-Voltaic Application
    A Kumar, K Karthikumar, P Chandrasekar, KM Tatikonda
    Renewable Resources and Energy Management, 432-441 , 2023
    2023
    Citations: 2
  • Enhancement of power quality with UPQC in grid integrated and battery assisted PV system
    GR Reddy, NK Rayaguru, K Karthikumar, P Chandrasekar, P Murthy
    AIP Conference Proceedings 2452 (1), 080002 , 2022
    2022
  • Advanced ai based controller for wind turbine pitch control
    MP Joshi, S Mallikarjunaiah, SS Rao, B Umarani, K KarthiKumar, ...
    2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile … , 2022
    2022
    Citations: 4
  • Investigations on off-grid hybrid renewable energy microgrid for sustainable development growth
    K Karunanithi, SP Raja, S Ramesh, K Karthikumar, P Chandrasekar, ...
    Journal of Circuits, Systems and Computers 31 (06), 2230003 , 2022
    2022
    Citations: 10
  • Enhancement of power quality with fuzzy based UPQC in grid integrated and battery assisted PV system
    GR Reddy, NK Rayaguru, K Karthikumar, P Chandrasekar, P Murthy
    2021 2nd Global Conference for Advancement in Technology (GCAT), 1-8 , 2021
    2021
    Citations: 12

MOST CITED SCHOLAR PUBLICATIONS

  • Energy recovery from waste animal fats and detailed testing on combustion, performance, and emission analysis of IC engine fueled with their blends enriched with metal oxide …
    T Sathish, Ü Ağbulut, V Kumari, G Rathinasabapathi, K Karthikumar, ...
    Energy 284, 129287 , 2023
    2023
    Citations: 142
  • An efficient power management control strategy for grid-independent hybrid renewable energy systems with hybrid energy storage: Hybrid approach
    S Sruthi, K Karthikumar, P Chandrasekhar
    Journal of Energy Storage 95, 112325 , 2024
    2024
    Citations: 27
  • A new opposition crow search optimizer based two-step approach for controlled intentional islanding in microgrids
    KVS Kumar
    Soft Computing A Fusion of Foundations, Methodologies and Applications , 2021
    2021
    Citations: 16
  • A transformerless buck-boost converter with PID controller (closed loop controller)
    M Karuppiah, K Karthikumar, A Arunbalj
    2017 IEEE International Conference on Intelligent Techniques in Control … , 2017
    2017
    Citations: 15
  • Enhancement of power quality with fuzzy based UPQC in grid integrated and battery assisted PV system
    GR Reddy, NK Rayaguru, K Karthikumar, P Chandrasekar, P Murthy
    2021 2nd Global Conference for Advancement in Technology (GCAT), 1-8 , 2021
    2021
    Citations: 12
  • Design a electric vehicle charger based sepic topology with PI controller
    M Karuppiah, P Dineshkumar, K Karthikumar
    2020 IEEE International Conference on Advances and Developments in … , 2020
    2020
    Citations: 11
  • Investigations on off-grid hybrid renewable energy microgrid for sustainable development growth
    K Karunanithi, SP Raja, S Ramesh, K Karthikumar, P Chandrasekar, ...
    Journal of Circuits, Systems and Computers 31 (06), 2230003 , 2022
    2022
    Citations: 10
  • ‘A new protection scheme for PQ events prediction and classification in Distribution System: A SSO-ANN Strategy
    SKV KARTHIKUMAR K
    Measurement and Control , 2019
    2019
    Citations: 9
  • An enhanced approach-based grid flexibility analysis for combined heat and power systems with variable renewable energy systems
    C Kalaivani, L Umasankar, C Badachi, K Karthikumar
    Energy & Environment 36 (1), 3-31 , 2025
    2025
    Citations: 8
  • Improved Transformer Based Full Bridge Inverter
    M Karuppiah, MS Rao, K Karthikumar
    International Journal of Engineering Trends and Technology (IJETT)–Vol 9 , 2014
    2014
    Citations: 7
  • IMPLEMENTATION OF PARAMETERS MONITORING AND CONTROLLING SYSTEM USING WIRELESS COMMUNICATION
    K Karthikumar, M Karuppiah, A Arunbalaj, S Krishnakumar, ...
    2016
    Citations: 5
  • A new optimal space vector modulation with dtc switching strategy for induction motor control
    AO Deab, K Karthikumar, M Karuppiah, PAG Sankar
    Int. J. Appl. Power Eng 13 (4), 862-873 , 2024
    2024
    Citations: 4
  • Advanced ai based controller for wind turbine pitch control
    MP Joshi, S Mallikarjunaiah, SS Rao, B Umarani, K KarthiKumar, ...
    2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile … , 2022
    2022
    Citations: 4
  • WITHDRAWN: SSA-RBFNN strategy for optimum framework for energy management in Grid-Connected smart grid infrastructure modeling
    K Karthikumar, K Karthik, K Karunanithi, P Chandrasekar, P Sathyanathan, ...
    Materials Today: Proceedings , 2021
    2021
    Citations: 4
  • Modeling Of Solar Panel As Gendralised Structure
    SK K Karthikumar,V Senthil kumar,M Karuppiah,A Arunbalaj
    International Journal of Applied Engineering Research 10 (14), 34244-34250 , 2015
    2015
    Citations: 4
  • PV & Wind Hybrid Output Power Generation And Control Fluctuation By Using Battery Energy Storage Station
    MK K.KARTHIKUMAR
    International Journal of Trend in Research and Development, 2 (2), 1-5 , 2015
    2015
    Citations: 4
  • The Residential DC power Distribution with Multi-Input Single-Control Systems
    M Karuppiah, K Karthikumar, A Arunbalaj
    International Journal of Engineering Trends and Technology (IJETT) 17 (4) , 2014
    2014
    Citations: 4
  • A hybrid methodology based battery power management and torque control of open-end winding induction motor drive for electric vehicles
    K Karthikumar, AO Deab, S Ramesh
    Journal of Energy Storage 97, 112565 , 2024
    2024
    Citations: 3
  • Cascaded H Bridge Inverter Fed Motor Drive for Electric Vehicle Applications
    D Narmitha, K Karthikumar, P Chandrasekar, PAG Sankar
    2024 10th International Conference on Electrical Energy Systems (ICEES), 1-9 , 2024
    2024
    Citations: 3
  • Automatic Constant Wattage Auto Transfomer Twin Test Station Using Mitsubishi PLC
    MK K.Karthikumar
    International Journal of Trend in Research and Development, 2 (2), 1-6 , 2015
    2015
    Citations: 3