Srinivasan P

@srmrmp.edu.in

Assistant Professor, EEE
SRM Institute of Science and Technology, Ramapuram

Srinivasan P


                  Download Compact PDF  
https://researchid.co/srinivasp808

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering
21

Scopus Publications

34

Scholar Citations

3

Scholar h-index

Scopus Publications

  • A grid-integrated photovoltaic EV charging system using a PSO-optimized quadratic SEPIC converter
    Srinivasan P, Arulvendhan K
    Engineering Research Express, 2026
    The present paper introduces a grid-connected PV-based EV charging system using a high-gain Quadratic SEPIC DC-DC Converter and a Particle Swarm Optimization (PSO)-optimized PI controller to attain better voltage regulation and improved power quality. The Quadratic SEPIC Converter is used to step up the voltage from 160 V to 400 V with moderate duty cycle operation, yielding better gain characteristics compared to conventional SEPIC and CUK converters. Moreover, the PSO-optimized PI controller improves the dynamic response to attain a 57% reduction in voltage tracking error (RMSE reduced from 9.84 V to 4.21 V), along with a reduction in settling time from 0.30 s to 0.10 s. The system exhibits an average efficiency of 97.63%, which is 3%–5% better than conventional configurations. Furthermore, the total harmonic distortion (THD) in the grid current is limited to 0.20%, which is well within the IEEE standards to attain near-unity power factor operation. Robustness tests were performed to ensure that the system operates within the specified limits even in the presence of irradiance, load, and grid voltage perturbations. The results show that the system operates with efficiencies greater than 97% and THD less than 0.3%, proving that the proposed system is efficient, has low THD in the grid current, and is dynamically robust to operate in renewable energy-based EV charging systems.
  • Interleaved resonant DC-DC with NPC inverter and MSVPWM control for advanced EV wireless charging
    Arulvendhan K, Srinivasan P
    Engineering Research Express, 2026
    The use of wireless charging technology for Electric Vehicles (EVs) is gaining increasing significance due to its ability to charge batteries safely and conveniently without the need for physical connectors. This paper presents the design and implementation of the transmitter-side power conversion system for a wireless EV charging station. The proposed system architecture integrates a front-end Power Factor Correction (PFC) rectifier, an Interleaved Resonant DC-DC converter, and a three-level Neutral Point Clamped (NPC) inverter, providing a highly efficient and stable power transmission path for battery charging. The Interleaved Resonant DC-DC converter, designed with a Zero Voltage Switching (ZVS) mechanism, minimizes switching losses and enhances overall efficiency. Its operation under Constant Current (CC) and Constant Voltage (CV) control modes ensures smooth and reliable mode transition through an auxiliary controller incorporated alongside a conventional PI controller. The inverter stage adopts a Modified Space Vector Pulse Width Modulation (MSVPWM) strategy that significantly reduces Total Harmonic Distortion (THD) in both voltage and current waveforms, thereby maintaining compliance with power quality standards. The complete system’s performance has been evaluated through both simulation and experimental validation. MATLAB/Simulink-based analysis demonstrates stable converter dynamics with a regulated output voltage of 325 V and negligible transient disturbances during mode transitions. A 0.2 kW laboratory prototype was developed to confirm the simulation results using PIC24F16KA102 and FPGA-SPARTAN-7 controllers for power and switching signal generation, respectively. Experimental measurements indicate that the proposed Interleaved Resonant DC-DC converter achieved an efficiency of approximately 95.35% at rated load, which aligns closely with theoretical predictions. The three-level NPC inverter produced a 320 V output with voltage and current THD levels of 4.8% and 5.6%, respectively. A 2:1 air-core transformer designed for high-frequency operation (100–200 kHz) effectively transfers power to the EV receiver side. The influence of coupling coefficient and air-gap variation on transfer efficiency was systematically investigated, revealing an optimal separation distance of 10–20 mm. The overall results confirm the efficacy of the proposed design for high-efficiency wireless EV charging. Future work will concentrate on optimizing the receiver-side converters to further enhance system efficiency and dynamic performance.
  • Leveraging deep neural networks to minimize misalignment in wireless power transfer coils for EV charging
    K Arulvendhan, P Srinivasan, Sebunya Steven
    International Review of Applied Sciences and Engineering, 2026
    The development of the Wireless Power Transfer (WPT), also known as wireless charging, has revolutionized the charging process of Electric Vehicles (EVs), providing for greater safety, automation, and convenience compared to the traditional conductive charging process. However, the issue of misaligned coils between the transmitter and the receiver remains a major concern for the effective power transfer rate in the wireless charging process and the subsequent successful commercialization of wireless charging technology. In this regard, an effective approach to the above problem has been proposed by this paper. A theoretical study for the distribution of the magnetic field for different square coil geometries was carried out to analyze the effect of the turns, spacing, and phase of the current for flux uniformity. Using nonlinear programming, a non-uniform distance coil was designed to reduce the variance of the magnetic flux intensity. The results showed the optimized coil to be superior compared to the conventional uniform coils. In addition, the DNN model was trained for the prediction of the relationship between the phase differences of the coil currents and the magnetic flux within the designated regions of the coil array using 500 data sets. The trained network obtained an R 2 value of 0.9997, thus validating the high precision of the trained network. The results obtained validated the fact that the magnetic flux density within the planar coil could be greatly enhanced by the optimal phase arrangement. The proposed method effectively counteracts one of the biggest hindrances in WPT, coil misalignment, through the integration of advanced EM design and data-driven predictive modeling techniques. The results of the study provide a new insight for the development of intelligent and dynamic WPT techniques to retain high transfer efficiencies irrespective of the misalignment levels. Integration of non-uniform coil design and optimized techniques from the realm of the neural network provides a major breakthrough in the development of efficient wireless charging techniques for the envisioned EV framework of the coming years.
  • IoT-Monitored and Controlled Isolated Bipolar DC-DC Converter for Electric Vehicle Battery Charging System
    Srinivasan P., N. Sankar Ram, M. Sadhasivam, D. Kabilan
    International Energy Journal, 2026
    With the increasing popularity of electric vehicles (EVs), there's a rising demand for advanced power conversion systems that boost efficiency, reliability, and safety in charging batteries. This research presents the development of a specialized isolated bipolar DC-DC converter designed specifically to enhance the integration of energy storage in electric vehicle battery charging systems. The bipolar power outputs, essential for ensuring balanced charging and increasing the lifespan of the batteries, will be stable as well as efficient due to switching functions controlled by the converter using the dsPIC30F2010 microcontroller. To enhance monitoring features in the main control unit, the system includes an ESP32 microcontroller, based on IoT. With this arrangement, you can keep an eye on key battery metrics like voltage and temperature in real time, all thanks to wireless technology. This IoT-connected system not only boosts clarity in how charging works but also helps manage issues by sending out warnings for problems like overheating or too much voltage. This monitoring system enhances battery safety and extends its lifespan during operation. Isolated design gives this converter the advantages of increased electrical safety and interference reduction, making it perfect for fragile automotive environments. In simulation, the converter stepped up a 50 V input to 320 V DC, delivering a battery current of 85 A at 80.6% SOC, verified under resistive loading with a 10 kHz switching frequency. A FOPID controller provided precise voltage regulation and stable operation across varying duty cycles. In hardware implementation, the prototype achieved output regulation between 12 V–34 V at switching frequencies up to 25 kHz, with efficiency exceeding 90% and stable thermal performance under load variations. Real-time monitoring of battery voltage, current, and SOC% was realized through the Blynk IoT application, providing predictive fault alerts against overvoltage, overheating, and abnormal charging patterns. Hardware-based implementation in real conditions clearly demonstrates its practical application and efficiency. This converter combines strong power electronics with smart control and monitoring, improving EV charging systems by tackling both technical and practical issues related to high-performance and safe battery management systems.
  • Hybrid Falcon Optimization Algorithm-PID Controller Based Wind Powered Improved Bridgeless CUK Converter for Telecom Applications
    W. Margaret Amutha, P. Srinivasan
    Arabian Journal for Science and Engineering, 2025
  • Effect of addition of diethyl ether with custard apple seed oil + hydrogen enrichment on dual-fuel compression ignition engine
    Panneerselvam Srinivasan, Mathanraj Vijayaragavan
    Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering, 2025
    Due to the inert chemical properties of custard apple seed oil (CASO), one standard method for overcoming the challenges with its combustion is to use hydrogen as a supplemental fuel in dual-fuel mode. This is a technique that has developed in prominence in recent years. This investigation aims to examine the combustion characteristics of a DI engine that has been fuelled with CASO-blended di-ethyl ether (DEE), as well as hydrogen used as a secondary fuel. The experiment was conducted in atmospheric air with hydrogen enrichment (8 and 10 LPM) using CASO and CASO + 20% DEE as fuel for load condition varying from (25–100%). When compared to diesel at full load, the brake thermal efficiency of CASO was lower by 16%; however, it was improved by 9% with direct hydrogen induction at a knock limit of 10 LPM; and it was improved by 23% with CASO + H2 + 20% DEE when operating at maximum load. NOx emissions for CASO + 10 LPM H2 + 20% DEE at maximum load is 926 ppm, which is around 45.46% less than the emission value for diesel. When more hydrogen was added to the combination, the presence of DEE in the fuel caused a reduction in the emissions of both hydrocarbon and carbon monoxide around 21.70% opacity and 0.711%vol, respectively, which leading to a cleaner environment.
  • Coating Performance Prediction using a Modified Spin Coater and the Taguchi Technique for Solar Cells
    Srinivasan Purushothaman, S. Heeravathi, K. Arulvendhan, M. Gohul, G. Saravanan
    Recent Advances in Electrical and Electronic Engineering, 2025
    Background: This paper presents a novel approach to enhance the efficiency of solar cells by employing a modified spin coating technique with a Zinc oxide (ZnO) solution. Spin coating, known for its ability to achieve uniform, thin coatings on flat to moderately curved surfaces, serves as the central method in this research. The study meticulously investigates various factors affecting the coating process, including the volume of the solution, spinning speed, and spinning duration. To optimize these factors effectively, the Taguchi approach is employed, aiming to achieve the desired ZnO layer thickness and uniformity. The experimental findings reveal that the most favorable results are obtained when implementing a 3-second spin cycle at a rapid spin speed of 2000 rpm while using a ZnO solution volume of 5 microliters. Furthermore, advanced techniques such as scanning electron microscopy (SEM) are harnessed to scrutinize the surface characteristics of the ZnO layer and its interaction with the solution. To gauge the quality of the coatings, the signal-tonoise ratio (SNR) main impact plot is thoughtfully utilized. Subsequent in-depth analysis, employing the analysis of variance (ANOVA) technique, delves into the intricate relationship between the experimental parameters and the response parameter. The research outcomes are nothing short of remarkable, showcasing that the modified spin coating technique significantly elevates the efficiency of coated solar cells, ultimately achieving an impressive efficiency rate of 5.4%. In summation, this study introduces a pioneering spin coating technique tailored for solar cell applications with ZnO solution, leading to substantial enhancements in efficiency. The thorough optimization of process parameters through the Taguchi technique, coupled with the comprehensive analysis of experimental results via ANOVA, not only advances the comprehension of the coating process but also paves the way for more efficient and sustainable solar cell applications in the future. Methods: The research systematically explored critical factors affecting the coating process for solar cells, optimizing the ZnO layer's thickness and uniformity. The ideal parameters identified were a 3-second spin cycle at 2000 rpm with a ZnO solution volume of 5 microliters. Quality assessment was done using the signal-to-noise ratio (SNR) main impact plot, and further analysis via ANOVA revealed intricate parameter relationships. These findings offer a precise and efficient method for improving solar cell coatings, promising enhanced efficiency in renewable energy production. Results: The research achieved a minimum film thickness of 4.2 micrometers and revealed a correlation between spinning speed and film thickness. Solar cell efficiency reached an impressive 5.4% post-ZnO coating. The modified spin coating device outperformed conventional methods, enhancing efficiency by 5% to 10%. These results signify a significant breakthrough in improving solar cell performance and hold promise for more efficient solar energy production. Conclusion: This research optimized the spin coating process to apply ZnO solution to solar cells, achieving the desired film thickness. Ideal parameters were found: 2000 rpm spinning speed, three seconds spinning duration, and four microliters of solution. This resulted in a minimum film thickness of 4.2 micrometers. Higher spinning speeds correlated with thinner films, as shown in a contour plot. Solar cell efficiency reached 5.4% after the ZnO coating. A redesigned spin coating device outperformed conventional methods, improving efficiency by 5% to 10%. This modified technique holds promise for more efficient solar panel production.
  • Smart Home Powered by Solar: IoT-based SEPIC Converter Control
    Srinivasan Purushothaman, Rampriya Boomi Perumal, Shabarish Elango, Hanitha Premananth, Krishnamsetti Yoganand
    Recent Advances in Electrical and Electronic Engineering, 2025
    Background: In this article, an IOT solution for managing and controlling a PV system with applications for the home is presented. A DC-DC SEPIC converter, a bidirectional converter, a PWM generator, and a single-phase voltage source inverter with active clamping are used for power conditioning. An output voltage control loop is implemented, and real-time online communication with an internet server is accomplished using the PIC microcontroller. Methods: The ESP8266MOD WIFI IOT module works with the Blynk mobile app. Experimental findings showing the proper operation of IOT features demonstrate the effectiveness of voltage regulation. In this article, frequency is taken into consideration as solar power is integrated with the grid. A user may easily control the DC-DC converter, load batteries, and monitor battery voltage through our userfriendly GUI interface. Results: In this paper, an IOT (Internet of Things) application was used to control and track the output of a modest PV power plant. The study shows the efficiency of the digitally controlled system developed to regulate the output voltage of the SEPIC DC-DC converter. Practical Significance: They further argue that the ESP8266 and microcontroller's versatility make them an appropriate instrument for remote and real-time monitoring and control of the proposed model from around the world. The energy that is produced by the sun is added to the grid so that it may be put to effective use and contribute to satisfying the rising demand for energy. Solar energy is the input that SEPIC uses to charge the batteries and for all of its other processes. In the event that solar photovoltaic (PV) panels are not available, the SEPIC DC-DC converter will derive its energy from AC power. Conclusion: In this article, an IOT (Internet of Things) application was used to control and track the output of a modest PV power plant. The research demonstrates the effectiveness of the digitally controlled system created to manage the output voltage of the SEPIC DC-DC converter. They further argue that the ESP8266 and microcontroller's versatility make them an appropriate instrument for allowing remote and real-time monitoring and control of the proposed model from any part of the world. The energy that is produced by the sun is added to the grid so that it may be put to effective use and contribute to satisfying the rising demand for energy. Solar energy is the input that SEPIC uses to charge the batteries and for all of its other processes. In the event that solar photovoltaic (PV) panels are not available, the SEPIC DC-DC converter will derive its energy from AC power.
  • Low cost pulsed electric field generator using DC-DC boost converter and capacitor diode voltage multiplier
    Jeya Shree Thulasidas, Srinivasan Purushothaman, Srivatsen Ravishanker, Thejaswaroopan Mourougaiyan, Arruthra Anilkumar
    International Journal of Applied Power Engineering, 2024
    Traditional high-voltage pulse generators, like Marx generators often face challenges related to efficiency and complexity. In this paper, a solid-state multi-module high-voltage pulse generator that integrates capacitor-diode voltage multipliers (CDVM) with DC-DC boost converters and closed-loop voltage control is proposed to overcome these challenges. The system achieves high output voltage by coupling the pulsed output voltages of individual low-voltage DC sources in series across each module. The proposed design was modeled using MATLAB, and experimental testing was conducted on a single stage. Comparative analyses between timedomain parameters, proportional-integral (PI), and fractional order proportional integral derivative (FOPID) controllers were performed. Both MATLAB simulations and experimental validations demonstrate the effectiveness of this approach. The rise time, peak time, settling time, and steady-state error are all improved using an FOPID controller, decreasing from 0.32 to 0.31 seconds, 0.42 to 0.35 seconds, and 3.15 to 2.20 seconds, respectively. These findings indicate that a closed-loop FOPID controller enhances time-domain performance parameters more effectively than a PI controller for a two-stage DC-DC voltage multiplier.
  • Performance Evaluation of a Hysteresis-Controlled Smart Grid System Using a Flying Capacitor Boost Converter
    Srinivasan P, Mohit Kumar, Yoganand Krishnamsetti, Naethan Abraham Mathew
    2024 International Conference on Recent Advances in Electrical Electronics Ubiquitous Communication and Computational Intelligence Raeeucci 2024, 2024
    The output voltage of a single-phase flying capacitor clamped boost converter cascade filters and inverters can be increased to improve dynamic response. Lower total harmonic distortion is the result of managing the de-link voltages asymmetrically for both symmetrical and asymmetrical capacitor-clamped boost converters and inverters in an FCC-BC inverter grid connected DC-AC converter study. The circuit described is used to experiment with two different control techniques: PI and HC, which are shown to be comparable in performance. A promising combination of a single-phase FCC-BC and a DC-AC converter that reduces current harmonics while improving voltage management is concluded as an option for power conversion use in household photovoltaic (PV) applications.
  • Switched capacitor voltage boost converter for BLDC motor speed control of electric vehicles
    Srinivasan P, Murali krishna K, Roshan M, Nissy Joseph
    Eai Endorsed Transactions on Energy Web, 2024
  • Soft Switching Technique in a Modified SEPIC Converter with MPPT using Cuckoo Search Algorithm
    Srinivasan Purushothaman, Heeravathi Senthamarai, M. Jay Prasanna, Sreedharsh R. Pillai, M. Dhanush
    Recent Advances in Electrical and Electronic Engineering, 2024
  • Bidirectional DC-DC Converter and Improved Electrical Vehicle Dynamic Response Control
    Arulvendhan Kalaichelvan, Srinivasan Purushothaman, Muralikrishna Kamalkannan, Nissy Joseph, Roshan Murugavel
    Recent Advances in Electrical and Electronic Engineering, 2024
  • LVRT Enhancement of DFIG-based WECS using SVPWM-based Inverter Control
    Srinivasan Purushothaman, Dhandapani Samiappan, Muralikrishna Kamalkannan, Nissy Joseph, Roshan Murugavel
    Recent Advances in Electrical and Electronic Engineering, 2024
  • Power Generation for Street Lights Using Smart Tiles, Floor and Piezoelectric Shoes for Mobile Battery Charging Along with GPS Tracker Shoes
    P. Srinivasan, D. Sivakumar, V. N. Ganesh
    Lecture Notes in Electrical Engineering, 2023
  • ZnO ANTIREFLECTION COATING ON SOLAR CELL TO INCREASE THE EFFICIENCY BY ENHANCING OPTICAL PROPERTIES
    Arpn Journal of Engineering and Applied Sciences, 2023
  • Novel compact design high gain DC–DC step up converter applicable for PV applications
    S.K. Purushothaman, D. Sattianadan, K. Vijayakumar
    Sustainable Energy Technologies and Assessments, 2022
  • COMBINATION OF SMES AND FAULT CURRENT LIMITER FOR DOUBLY FED INDUCTION GENERATOR TO ENHANCE LVRT CAPABILITY
    Arpn Journal of Engineering and Applied Sciences, 2020
  • A research on microgrid technology by non conventional and renewable sources
    M Anjalakshi, S. Pavithra, M Moovendan, P. Srinivasan, R Ramakumar, et al.
    International Journal of Recent Technology and Engineering, 2019
  • Enhancement of low voltage ride through capability for DFIG based wind turbine with STFCL, DVR and energy storage system
    International Journal of Recent Technology and Engineering, 2019
  • Electric bikes over fuel bikes with the help of ANFIS model in India
    International Journal of Recent Technology and Engineering, 2019

RECENT SCHOLAR PUBLICATIONS

  • A grid-integrated photovoltaic EV charging system using a PSO-optimized quadratic SEPIC converter
    P Srinivasan, K Arulvendhan
    Engineering Research Express 8 (8), 085325 , 2026
    2026
  • Interleaved resonant DC-DC with NPC inverter and MSVPWM control for advanced EV wireless charging
    K Arulvendhan, P Srinivasan
    Engineering Research Express 8 (5), 055305 , 2026
    2026
  • IoT-Monitored and Controlled Isolated Bipolar DC-DC Converter for Electric Vehicle Battery Charging System
    P Srinivasan, NS Ram, M Sadhasivam, D Kabilan
    International Energy Journal 26 (1) , 2026
    2026
  • Leveraging deep neural networks to minimize misalignment in wireless power transfer coils for EV charging
    K Arulvendhan, P Srinivasan, S Steven
    International Review of Applied Sciences and Engineering, 1848.2026. 01160 , 2026
    2026
  • Hybrid Falcon Optimization Algorithm-PID Controller Based Wind Powered Improved Bridgeless CUK Converter for Telecom Applications
    W Margaret Amutha, P Srinivasan
    Arabian Journal for Science and Engineering 50 (21), 17863-17872 , 2025
    2025
    Citations: 5
  • Experimental Validation of a Compact Bridgeless Landsman PFC Converter for Drone BLDC Motor Propulsion
    S Arunkumar, RP Sudharsini, S Sakthi Satchidhanandan, P Srinivasan
    2025 10th International Conference on Communication and Electronics Systems … , 2025
    2025
  • Smart Home Powered by Solar: IoT-based SEPIC Converter Control
    S Purushothaman, RB Perumal, S Elango, H Premananth, K Yoganand
    Recent Advances in Electrical & Electronic Engineering 18 (7), 1011-1026 , 2025
    2025
    Citations: 3
  • Mining less extraction of rare earth elements
    AG Lakshmi, P Srinivasan, SK Kanjana, MS Priya, GA Pavithra, ...
    AIP Conference Proceedings 3137 (1), 050017 , 2025
    2025
  • Portable device to convert voice into text for deaf people using Raspberry Pi
    S Sankar, P Srinivasan, LS Devan, R Sruthi, NMS Shaalini
    AIP Conference Proceedings 3137 (1), 020046 , 2025
    2025
  • FMDB Transactions on Sustainable Environmental Sciences
    P Srinivasan, K Arulvendhan, MMS Ali, F Bassyouni
    Sciences 2 (3), 161-170 , 2025
    2025
  • AVETrends in Intelligent Energy Letters
    SK Nagaratnam, K Arulvendhan, P Srinivasan, CS Kumar, S Jaber
    2025
  • FMDB Transactions on Sustainable Energy Sequence
    P Srinivasan, K Arulvendhan, B Vidyut, C Elayaraja, D Lale
    2025
  • FMDB Transactions on Sustainable Energy Sequence
    K Arulvendhan, P Srinivasan, MS Banu, Y Ryagin
    2025
  • AVETrends in Intelligent Energy Letters
    P Srinivasan, K Arulvendhan, A Babu, SS Priscila, DKR Kotha
    2025
  • AVETrends in Intelligent Energy Letters
    K Arulvendhan, P Srinivasan, A Babu
    2025
  • AVETrends in Intelligent Applied Sciences
    P Srinivasan, K Arulvendhan, A Babu
    2025
  • Coating Performance Prediction using a Modified Spin Coater and the Taguchi Technique for Solar Cells
    GS Srinivasan Purushothaman, S. Heeravathi, K. Arulvendhan, M. Gohul
    Recent Advances in Electrical & Electronic Engineering 18 (1984087), DOI: 10 … , 2025
    2025
  • An IoT-enabled device for remotely monitoring and controlling solar photovoltaic systems
    P Srinivasan, K Kannan
    EAI Endorsed Scalable Information System 12 (1) , 2025
    2025
    Citations: 1
  • Low cost pulsed electric field generator using DC- DC boost converter and capacitor diode voltage multiplier
    AA Jeya Shree Thulasidas, Srinivasan Purushothaman, Srivatsen Ravishanker ...
    International Journal of Applied Power Engineering 13 (4087), 874-885 , 2024
    2024
  • IoT-based Energy Management System for Automated Home Automation
    S P
    IN Patent 202,421,083,973 , 2024
    2024

MOST CITED SCHOLAR PUBLICATIONS

  • Machine Learning Controller for DFIG Based Wind Conversion System.
    P Srinivasan, P Jagatheeswari
    Intelligent Automation & Soft Computing 35 (1) , 2023
    2023
    Citations: 6
  • Hybrid Falcon Optimization Algorithm-PID Controller Based Wind Powered Improved Bridgeless CUK Converter for Telecom Applications
    W Margaret Amutha, P Srinivasan
    Arabian Journal for Science and Engineering 50 (21), 17863-17872 , 2025
    2025
    Citations: 5
  • Economical infotainment solution augmented with advanced telematics for collision detection, vehicle localization, and real-time health status monitoring
    KA Babu, K Arulvendhan, P Srinivasan, MA Ahmad, A Prabha, MM Thariq, ...
    AVE Trends in Intelligent Health Letters 1 (4), 206-216 , 2024
    2024
    Citations: 5
  • Smart Home Powered by Solar: IoT-based SEPIC Converter Control
    S Purushothaman, RB Perumal, S Elango, H Premananth, K Yoganand
    Recent Advances in Electrical & Electronic Engineering 18 (7), 1011-1026 , 2025
    2025
    Citations: 3
  • Soft Switching Technique in a Modified SEPIC Converter with MPPT using Cuckoo Search Algorithm
    S Purushothaman, H Senthamarai, MJ Prasanna, SR Pillai, M Dhanush
    Recent Advances in Electrical & Electronic Engineering (Formerly Recent … , 2024
    2024
    Citations: 3
  • LVRT Enhancement of DFIG-based WECS using SVPWM-based Inverter Control
    S Purushothaman, D Samiappan, M Kamalkannan, N Joseph, ...
    Recent Advances in Electrical & Electronic Engineering (Formerly Recent … , 2024
    2024
    Citations: 3
  • A FUZZY LOGIC APPROACH TO MICROGRID DEMAND RESPONSE IN BOTH OFFLINE AND ONLINE MODE.
    P Srinivasan, K Balachander, A Amudha, G Emayavaramban, ...
    Mathematical & Computational Forestry & Natural Resource Sciences 11 (1) , 2019
    2019
    Citations: 2
  • An IoT-enabled device for remotely monitoring and controlling solar photovoltaic systems
    P Srinivasan, K Kannan
    EAI Endorsed Scalable Information System 12 (1) , 2025
    2025
    Citations: 1
  • Bidirectional DC-DC Converter and Improved Electrical Vehicle Dynamic Response Control
    A Kalaichelvan, S Purushothaman, M Kamalkannan, N Joseph, ...
    Recent Advances in Electrical & Electronic Engineering (Formerly Recent … , 2024
    2024
    Citations: 1
  • Switched capacitor voltage boost converter for BLDC motor speed control of electric vehicles.
    N Joseph
    EAI Endorsed Transactions on the Energy Web 11 (1) , 2024
    2024
    Citations: 1
  • Chronological golden search optimization-based deep learning for classification of heartbeat using ECG signal
    A Pon Bharathi, P Srinivasan, AS Sarika, D Vedha Vinodha, KG Parthiban
    Computer Methods in Biomechanics and Biomedical Engineering: Imaging … , 2023
    2023
    Citations: 1
  • Power Generation for Street Lights Using Smart Tiles, Floor and Piezoelectric Shoes for Mobile Battery Charging Along with GPS Tracker Shoes
    P Srinivasan, D Sivakumar, VN Ganesh
    Smart Energy and Advancement in Power Technologies: Select Proceedings of … , 2022
    2022
    Citations: 1
  • Improving Power System Stability using Dragon fly Whale Optimization Algorithm (DWOA) Interlinked in a Wind Turbine
    P Srinivasan, P Jagatheeswari
    Solid State Technology 63 (5), 9266-9282 , 2020
    2020
    Citations: 1
  • Modeling and simulation of HVRT and LVRT enhancement capability for doubly fed induction generator based wind energy conversion system
    P Srinivasan, D Samiappan
    Int J Eng Technol 7 (2.33), 405-408 , 2018
    2018
    Citations: 1
  • A grid-integrated photovoltaic EV charging system using a PSO-optimized quadratic SEPIC converter
    P Srinivasan, K Arulvendhan
    Engineering Research Express 8 (8), 085325 , 2026
    2026
  • Interleaved resonant DC-DC with NPC inverter and MSVPWM control for advanced EV wireless charging
    K Arulvendhan, P Srinivasan
    Engineering Research Express 8 (5), 055305 , 2026
    2026
  • IoT-Monitored and Controlled Isolated Bipolar DC-DC Converter for Electric Vehicle Battery Charging System
    P Srinivasan, NS Ram, M Sadhasivam, D Kabilan
    International Energy Journal 26 (1) , 2026
    2026
  • Leveraging deep neural networks to minimize misalignment in wireless power transfer coils for EV charging
    K Arulvendhan, P Srinivasan, S Steven
    International Review of Applied Sciences and Engineering, 1848.2026. 01160 , 2026
    2026
  • Experimental Validation of a Compact Bridgeless Landsman PFC Converter for Drone BLDC Motor Propulsion
    S Arunkumar, RP Sudharsini, S Sakthi Satchidhanandan, P Srinivasan
    2025 10th International Conference on Communication and Electronics Systems … , 2025
    2025
  • Mining less extraction of rare earth elements
    AG Lakshmi, P Srinivasan, SK Kanjana, MS Priya, GA Pavithra, ...
    AIP Conference Proceedings 3137 (1), 050017 , 2025
    2025