ANJAN KUMAR SAHOO

@outr.ac.in

Electrical Engineering
Odisha University of Technology and Research

ANJAN KUMAR SAHOO


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https://researchid.co/anjan234

RESEARCH INTERESTS

Electric Vehicle
Electric Drives
17

Scopus Publications

93

Scholar Citations

6

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • A novel metaheuristic approach for simultaneous loss minimization and torque ripple reduction of DTC- IM driven EV
    Anjan Kumar Sahoo
    Green Energy and Intelligent Transportation, 2025
    The efficiency and torque ripple of an electric vehicle (EV) determine its performance and driving range. An optimum reference flux increases efficiency and decreases torque ripple and harmonics. This strategy used in the current literature is based on either a lookup table or a search control approach. However, these methods have convergence issues at optimal values, require large memory spaces, have higher computational complexity, and are difficult to implement. In the recent literature, efforts have been made to improve either the efficiency or the ripple, whereas in this paper, a multi-objective dynamic reference flux selection algorithm based on teamwork optimization is used to improve the efficiency and ripples simultaneously for a wide range of operating scenarios. The proposed dynamic reference flux selection algorithm is evaluated numerically and compared using standard drive cycles, and the amount of energy a vehicle uses during different drive cycles is compared. The results obtained justify the effectiveness and feasibility of the proposed algorithm over a wide range of driving conditions. • A parameter-free multi-objective optimization algorithm to select the optimum stator flux for simultaneous reduction of ripples and losses. • A weighted sum approach is considered for minimizing loss and ripples. • The efficacy of the approach was validated using different standard drive cycles.
  • Loss model based controller of fuzzy DTC driven induction motor for electric vehicles using optimal stator flux
    Anjan Kumar Sahoo, Ranjan Kumar Jena
    E Prime Advances in Electrical Engineering Electronics and Energy, 2023
    Adoption of electric vehicles (EVs) is playing a major role in achieving green energy; however, this suffers from energy density range anxiety. Induction motors (IM) are designed to operate most efficiently under rated conditions. However, for EV applications, it operates at partial load at a constant speed, which reduces its efficiency when operated with nominal flux. In the long run, a lot of battery energy is consumed, which increases the running cost of the vehicle. This paper presents an energy efficient motor drive for EV applications with the objective of reducing battery energy consumption by an optimal reference flux. The optimal value of the stator flux reduces the difference between constant and variable losses, which improves the efficiency and driving range of the vehicle. The optimal flux selection strategies used in the current literature are mostly based on a search control approach, which has convergence issues, is highly complex, and is difficult to implement. In this paper, the Teamwork optimization algorithm (TOA) is used for optimal flux selection under a dynamic driving scenario. The method is examined with realistic EV data under various operating conditions and validated using standard drive cycles. The analysis of efficiency, energy savings, and power input confirms the superiority of the proposed method over other existing methods.
  • Reduction of torque ripple in induction motor-driven electric vehicle using optimized stator flux
    Anjan Kumar Sahoo, Ranjan Kumar Jena
    International Journal of Information Technology Singapore, 2023
  • A novel reference flux estimation technique for performance improvement of fuzzy DTC controlled IM drive in an electric vehicle using teamwork optimisation algorithm
    Anjan Kumar Sahoo, Ranjan Kumar Jena
    International Journal of Ambient Energy, 2023
    The tailpipe emissions caused by the transportation sector are a significant contributor to greenhouse gases. Electric vehicles (EVs) are becoming more popular due to their environment friendly nature. An appropriate motor drive is essential for an efficient EV. Due to its numerous benefits, Direct Torque Control (DTC) is commonly utilised in EVs, yet its ripples and harmonics make it inefficient. This paper provides a dynamic stator reference flux estimation strategy for the Fuzzy Logic-based DTC to minimise torque ripples and improve performance. The Teamwork Optimisation Algorithm is integrated with the fuzzy DTC for optimal selection of the stator flux depending on the driving scenario to eliminate ripples. The simulated results demonstrate efficacy by minimising torque ripple, harmonics, and energy consumption. Using performance indices such as ISE, ITAE, and ITSE, the efficacy of the suggested strategy is validated. The dynamic behaviour is also examined using ECE, EUDC, and HWFET driving cycles, and an energy saving of 8% to 10% reduction in energy consumption is observed. The results also indicate a 49.92% and 27.97% improvement in torque ripple at low and high speeds, respectively.
  • Teamwork optimization based DTC for enhanced performance of IM based electric vehicle
    ANJAN KUMAR SAHOO, RANJAN KUMAR JENA
    Turkish Journal of Electrical Engineering and Computer Sciences, 2023
    The tailpipe emissions caused by vehicles using internal combustion engines are a significant source of air pollution. To reduce the health hazards caused by air pollution, advanced countries are now adopting the use of electric vehicles (EVs). Due to the advancement of electric vehicles, research and development efforts are being made to improve the performance of EV motors. With a nominal reference stator flux, the classical induction motor drive generates significant flux, torque ripple, and current harmonics. In this work, a teamwork optimization algorithm (TOA)-based optimal stator flux strategy is suggested for torque ripple reduction applied in a classical direct torque-controlled induction motor drive. The suggested algorithm's responsiveness is investigated under various steady-state and dynamic operating conditions. The proposed DTC-IM drive's simulation results are compared to those of the classical and fuzzy DTC-IM drives. The proposed system has been evaluated and found to reduce torque ripple, flux ripple, current harmonics, and total energy consumption by the motor. Further, a comparative simulation study of the above methods at different standard drive cycles is presented. Experimental verification of the proposed algorithm using OPAL-RT is presented. The results represent the superiority of the proposed algorithm compared to the classical DTC and fuzzy DTC IM drives. The torque ripple reduction approach described in this study can also be applied to all induction motors, not only those for electric vehicles or hybrid electric vehicles (HEVs).
  • Torque Quality Improvement in Induction Motor for Electric Vehicle Application Based on Teamwork Optimization
    Anjan Kumar Sahoo, Ranjan Kumar Jena
    Advances in Electrical and Electronic Engineering, 2023
    The tailpipe emission caused by the vehicles using internal combustion engines is a significant source of air pollution. To reduce the health hazards caused by air pollution, advanced countries are now adopting the use of Electric Vehicles (EVs). Due to the advancement of electric vehicles, research and development efforts are being made to improve the performance of EV motors. With a nominal reference stator flux, the classical induction motor drive generates significant flux, torque ripple, and current harmonics. In this work, a Teamwork Optimization Algorithm (TOA)-based optimal stator flux strategy is suggested for torque ripple reduction applied in a Classical Direct Torque Controlled Induction Motor (CDTC-IM) drive. The suggested algorithm's responsiveness is investigated under various steady-state and dynamic operating conditions. The proposed Direct Torque Controlled Induction Motor (DTC-IM) drive's simulation results are compared to those of the CDTC-IM and Fuzzy Direct Torque Controlled Induction Motor (FDTC-IM) drives. The proposed system has been evaluated and shown to have reduced torque ripple, flux ripple, current harmonics, and total energy consumption by the motor. Further, a comparative simulation study of the above methods at different standard drive cycles is presented. Experimental verification of the proposed algorithm using OPAL-RT is presented. The results represent the superiority of the proposed algorithm compared to the CDTC- and FDTC-IM drive. The torque ripple reduction approach described in this study can also be applied to all types of induction motors, not only those for electric vehicles or Hybrid Electric Vehicles (HEVs).
  • A Novel Hybrid H-Bridge Multilevel Inverter for Single Phase Induction Motor
    Sridhar Palo, Anjan Kumar Sahoo, Subrat Kumar Dash
    2023 International Conference in Advances in Power Signal and Information Technology Apsit 2023, 2023
    Because of their ease of use, dependability, and relatively low cost, single-phase induction motors find widespread use in a variety of applications across a range of industries as well as in the home. On the other hand, they have a low power factor and significant levels of harmonic distortion, which contribute to their poor performance. Single-phase induction motors can be driven by hybrid H-bridge multilevel inverters, which are an effective solution for the problems described above. The performance and utilization factor of single-phase induction motors with hybrid H-bridge multilevel inverters are the primary subjects of this paper. According to the findings, the application of hybrid H-bridge multilevel inverters has the potential to significantly enhance the performance of single-phase induction motors. This is accomplished through the reduction of harmonic distortion, the increase of power factor, and the increase of utilization factor. The improved performance of single-phase induction motors with hybrid H-bridge multilevel inverters has the potential to reduce energy consumption, reduce the common mode voltage, increase efficiency, and provide a solution that is more sustainable for a wide range of applications. These benefits can be realized in a variety of different contexts.
  • A Novel Teamwork Optimization Algorithm for Simultaneous Optimal Placement and Sizing of Biomass DGs and DSTATCOMs Considering Voltage Dependent Load Models
    Subrat Kumar Dash, Anjan Kumar Sahoo, Shruti Ray, Tamanna Samantaray, Niranjan Nayak
    2023 International Conference in Advances in Power Signal and Information Technology Apsit 2023, 2023
    This manuscript presents a novel teamwork optimization algorithm based simultaneous allocation of active devices (biomass DGs and DSTATCOMs) for three different voltage dependent loading scenarios namely constant power, constant current, and constant impedance in power distribution network. Both the placements and sizes of these active devices are optimized concurrently for different numbers of devices in a multi-objective framework that includes real power loss reduction, reactive power loss reduction, voltage deviation reduction, and voltage stability index enhancement. The proposed technique has been successfully validated on a standard 33 bus distribution network, and simulation results show that the performance of the power distribution network improves significantly in the presence of optimally allocated biomass DGs and DSTATCOMs for the studied loading scenarios.
  • A novel technique for modelling of an Underwater Robotic Vehicle
    Ronak Mohanty, Samarjit Patnaik, Rabindra Kumar Behera, Anjan Kumar Sahoo, Rajat Kumar Muduli, Saroj Kumar Pradhan, Madhurya Sarangi
    Materials Today Proceedings, 2023
  • Loss minimisation of induction motor-driven electric vehicle using teamwork optimisation
    Anjan Kumar Sahoo, Ranjan K. Jena
    International Journal of Ambient Energy, 2022
    Electric vehicles (EVs) are a feasible alternative to traditional automobiles because of their silent operation and low emissions. Energy optimisation in EVs powered by induction motor (IM) drive is essential for lowering battery current. A loss model-based controller (LMC) is a popular approach that quickly converges to an optimum solution. Some LMC approximations, such as ignoring leakage inductances and iron loss, adversely influence IM drive performance in loss reduction. This work proposes an improved LMC in conjunction with direct torque control (DTC) to address the issue. Here, a parameter-free optimisation algorithm known as the teamwork optimisation algorithm (TOA) is used to select the optimum stator flux for improving IM efficiency. The algorithm is validated using realistic EV data and tested with standard drive cycles. The results demonstrate the improvement in efficiency and the reduction in torque ripple.
  • Improved DTC strategy with fuzzy logic controller for induction motor driven electric vehicle
    Anjan Ku. Sahoo, Ranjan Ku. Jena
    Aims Electronics and Electrical Engineering, 2022
  • A Comprehensive Analysis of Induction Motor Direct Torque Control For Electric Vehicle Applications
    Anjan Kumar Sahoo, Ranjan Kumar Jena
    2022 International Conference on Intelligent Controller and Computing for Smart Power Iciccsp 2022, 2022
  • Comparison of DTC and SVM - DTC of Induction motor drive for Electric Vehicle application
    Sambit Pradhan, Anjan Kumar Sahoo, Ranjan Kumar Jena
    2022 International Conference on Intelligent Controller and Computing for Smart Power Iciccsp 2022, 2022
  • Torque Ripple Reduction of Induction Motor-based Electric Vehicle Using Artificial Neural Network
    Anjan Kumar Sahoo, Subrat Kumar Dash, Ranjan Kumar Jena
    Mesiicon 2022 International Interdisciplinary Conference on Mathematics Engineering and Science Proceedings, 2022
  • A Review On Recent Advancements In Signal Processing and Sensing Technologies for AUVs
    Rajat Kumar Muduli, Ronak Mohanty, Samarjit Patnaik, Anjan Kumar Sahoo, Saroj Kumar Pradhan, Rabindra Kumar Behera
    Proceedings 2022 IEEE 2nd International Symposium on Sustainable Energy Signal Processing and Cyber Security Isssc 2022, 2022
  • Detection of Faults using Soft Computing Techniques on Induction Motor
    Saswat Pati, Ritwik Ghosal, Sreetam Pattnaik, Anjan Kumar Sahoo
    2021 International Conference on Intelligent Technologies Conit 2021, 2021
  • A hybrid approach for terminal fault detection of induction motor
    Saswat Pati, Ritwik Ghosal, Sreetam Pattnaik, Anjan Kumar Sahoo
    Proceedings 5th International Conference on Intelligent Computing and Control Systems Iciccs 2021, 2021

RECENT SCHOLAR PUBLICATIONS

  • A novel metaheuristic approach for simultaneous loss minimization and torque ripple reduction of DTC-IM driven EV
    AK Sahoo
    Green Energy and Intelligent Transportation 4 (3), 100254 , 2025
    2025.0
    Citations: 5
  • A novel reference flux estimation technique for performance improvement of fuzzy DTC controlled IM drive in an electric vehicle using teamwork optimisation algorithm
    AK Sahoo, RK Jena
    International Journal of Ambient Energy 44 (1), 1166-1184 , 2023
    2023.0
    Citations: 1
  • Loss model based controller of fuzzy DTC driven induction motor for electric vehicles using optimal stator flux
    AK Sahoo, RK Jena
    e-Prime-Advances in Electrical Engineering, Electronics and Energy 6, 100304 , 2023
    2023.0
    Citations: 14
  • A novel hybrid h-bridge multilevel inverter for single phase induction motor
    S Palo, AK Sahoo, SK Dash
    2023 International Conference in Advances in Power, Signal, and Information … , 2023
    2023.0
    Citations: 4
  • A Novel Teamwork Optimization Algorithm for Simultaneous Optimal Placement and Sizing of Biomass DGs and DSTATCOMs Considering Voltage Dependent Load Models
    SK Dash, AK Sahoo, S Ray, T Samantaray, N Nayak
    2023 International Conference in Advances in Power, Signal, and Information … , 2023
    2023.0
  • Reduction of torque ripple in induction motor-driven electric vehicle using optimized stator flux
    AK Sahoo, RK Jena
    International Journal of Information Technology 15 (3), 1333-1346 , 2023
    2023.0
    Citations: 6
  • Teamwork optimization based DTC for enhanced performance of IM based electric vehicle
    AK Sahoo, RK Jena
    Turkish Journal of Electrical Engineering and Computer Sciences 31 (2), 360-380 , 2023
    2023.0
    Citations: 7
  • A novel technique for modelling of an underwater robotic vehicle
    R Mohanty, S Patnaik, RK Behera, AK Sahoo, RK Muduli, SK Pradhan, ...
    Materials Today: Proceedings 80, 202-206 , 2023
    2023.0
    Citations: 4
  • Loss minimisation of induction motor-driven electric vehicle using teamwork optimisation
    AK Sahoo, RK Jena
    International Journal of Ambient Energy 43 (1), 8123-8134 , 2022
    2022.0
    Citations: 10
  • A review on recent advancements in signal processing and sensing technologies for AUVs
    RK Muduli, R Mohanty, S Patnaik, AK Sahoo, SK Pradhan, RK Behera
    2022 IEEE 2nd International Symposium on Sustainable Energy, Signal … , 2022
    2022.0
    Citations: 4
  • Torque Quality Improvement in Induction Motor for Electric Vehicle Application Based on Teamwork Optimization
    AK Sahoo, RK Jena
    Advances in Electrical and Electronic Engineering 20 (4), 359 , 2022
    2022.0
    Citations: 3
  • Torque ripple reduction of induction motor-based electric vehicle using artificial neural network
    AK Sahoo, SK Dash, RK Jena
    2022 International Interdisciplinary Conference on Mathematics, Engineering … , 2022
    2022.0
    Citations: 4
  • Improved DTC strategy with fuzzy logic controller for induction motor driven electric vehicle
    AK Sahoo, RK Jena
    AIMS Electronics and Electrical Engineering 6 (3), 296-316 , 2022
    2022.0
    Citations: 18
  • A comprehensive analysis of induction motor direct torque control for electric vehicle applications
    AK Sahoo, RK Jena
    2022 International Conference on Intelligent Controller and Computing for … , 2022
    2022.0
    Citations: 5
  • Comparison of DTC and SVM-DTC of Induction motor drive for Electric Vehicle application
    S Pradhan, AK Sahoo, RK Jena
    2022 International Conference on Intelligent Controller and Computing for … , 2022
    2022.0
    Citations: 7
  • Detection of Faults using Soft Computing Techniques on Induction Motor
    S Pati, R Ghosal, S Pattnaik, AK Sahoo
    2021 International Conference on Intelligent Technologies (CONIT), 1-6 , 2021
    2021.0
  • A Hybrid Approach for Terminal Fault Detection of Induction Motor
    S Pati, R Ghosal, S Pattnaik, AK Sahoo
    2021 5th International Conference on Intelligent Computing and Control … , 2021
    2021.0
    Citations: 1
  • ICICCSP 2022 Reviewers
    AR Teja, A Singh, D Borthakur, AKASD Pattnaik, A Saware, A Bharat, ...

MOST CITED SCHOLAR PUBLICATIONS

  • Improved DTC strategy with fuzzy logic controller for induction motor driven electric vehicle
    AK Sahoo, RK Jena
    AIMS Electronics and Electrical Engineering 6 (3), 296-316 , 2022
    2022.0
    Citations: 18
  • Loss model based controller of fuzzy DTC driven induction motor for electric vehicles using optimal stator flux
    AK Sahoo, RK Jena
    e-Prime-Advances in Electrical Engineering, Electronics and Energy 6, 100304 , 2023
    2023.0
    Citations: 14
  • Loss minimisation of induction motor-driven electric vehicle using teamwork optimisation
    AK Sahoo, RK Jena
    International Journal of Ambient Energy 43 (1), 8123-8134 , 2022
    2022.0
    Citations: 10
  • Teamwork optimization based DTC for enhanced performance of IM based electric vehicle
    AK Sahoo, RK Jena
    Turkish Journal of Electrical Engineering and Computer Sciences 31 (2), 360-380 , 2023
    2023.0
    Citations: 7
  • Comparison of DTC and SVM-DTC of Induction motor drive for Electric Vehicle application
    S Pradhan, AK Sahoo, RK Jena
    2022 International Conference on Intelligent Controller and Computing for … , 2022
    2022.0
    Citations: 7
  • Reduction of torque ripple in induction motor-driven electric vehicle using optimized stator flux
    AK Sahoo, RK Jena
    International Journal of Information Technology 15 (3), 1333-1346 , 2023
    2023.0
    Citations: 6
  • A novel metaheuristic approach for simultaneous loss minimization and torque ripple reduction of DTC-IM driven EV
    AK Sahoo
    Green Energy and Intelligent Transportation 4 (3), 100254 , 2025
    2025.0
    Citations: 5
  • A comprehensive analysis of induction motor direct torque control for electric vehicle applications
    AK Sahoo, RK Jena
    2022 International Conference on Intelligent Controller and Computing for … , 2022
    2022.0
    Citations: 5
  • A novel hybrid h-bridge multilevel inverter for single phase induction motor
    S Palo, AK Sahoo, SK Dash
    2023 International Conference in Advances in Power, Signal, and Information … , 2023
    2023.0
    Citations: 4
  • A novel technique for modelling of an underwater robotic vehicle
    R Mohanty, S Patnaik, RK Behera, AK Sahoo, RK Muduli, SK Pradhan, ...
    Materials Today: Proceedings 80, 202-206 , 2023
    2023.0
    Citations: 4
  • A review on recent advancements in signal processing and sensing technologies for AUVs
    RK Muduli, R Mohanty, S Patnaik, AK Sahoo, SK Pradhan, RK Behera
    2022 IEEE 2nd International Symposium on Sustainable Energy, Signal … , 2022
    2022.0
    Citations: 4
  • Torque ripple reduction of induction motor-based electric vehicle using artificial neural network
    AK Sahoo, SK Dash, RK Jena
    2022 International Interdisciplinary Conference on Mathematics, Engineering … , 2022
    2022.0
    Citations: 4
  • Torque Quality Improvement in Induction Motor for Electric Vehicle Application Based on Teamwork Optimization
    AK Sahoo, RK Jena
    Advances in Electrical and Electronic Engineering 20 (4), 359 , 2022
    2022.0
    Citations: 3
  • A novel reference flux estimation technique for performance improvement of fuzzy DTC controlled IM drive in an electric vehicle using teamwork optimisation algorithm
    AK Sahoo, RK Jena
    International Journal of Ambient Energy 44 (1), 1166-1184 , 2023
    2023.0
    Citations: 1
  • A Hybrid Approach for Terminal Fault Detection of Induction Motor
    S Pati, R Ghosal, S Pattnaik, AK Sahoo
    2021 5th International Conference on Intelligent Computing and Control … , 2021
    2021.0
    Citations: 1
  • A Novel Teamwork Optimization Algorithm for Simultaneous Optimal Placement and Sizing of Biomass DGs and DSTATCOMs Considering Voltage Dependent Load Models
    SK Dash, AK Sahoo, S Ray, T Samantaray, N Nayak
    2023 International Conference in Advances in Power, Signal, and Information … , 2023
    2023.0
  • Detection of Faults using Soft Computing Techniques on Induction Motor
    S Pati, R Ghosal, S Pattnaik, AK Sahoo
    2021 International Conference on Intelligent Technologies (CONIT), 1-6 , 2021
    2021.0
  • ICICCSP 2022 Reviewers
    AR Teja, A Singh, D Borthakur, AKASD Pattnaik, A Saware, A Bharat, ...