Browsing by Author "Kannan, R."

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Asymmetric clamped mode control for output voltage regulation in wireless battery charging system for EV
(CRC Press, 2023) Kishan, D.; Vinod, M.; Dastagiri Reddy, B.D.; Kannan, R.
Inductive based wireless battery charging (WBC) is gaining popularity in the contemporary electric vehicle industry. As the internal resistance of the battery is continuously changing throughout the charging profile, the charging power needs to be controlled. Phase shift control is mostly used to control the power flow between the transmitter and the receiver of the resonant converter in inductive WBC. During the phase shift control, the semiconductor switches to loose zero voltage switching (ZVS) or zero current switching (ZCS), thereby impacting the efficiency of the resonant converter. To address this, an asymmetrical clamped mode control is proposed for a resonant converter in this chapter. The proposed approach ensures that the power semiconductor switches attain ZVS while meeting the charging power requirements. To validate this, a MATLAB/Simulink model of inductive WBC with the proposed control strategy is developed, and the obtained results are presented. © 2023 selection and editorial matter, Dharavath Kishan, Ramani Kannan, B Dastagiri Reddy and Prajof Prabhakaran; individual chapters, the contributors.
Design of Spiral Square Inductive Power Pads with Misalignment for Wireless Power Transfer System
(Institute of Electrical and Electronics Engineers Inc., 2021) Vinod, M.; Kishan, D.; Nagendrappa, H.; Kannan, R.
Wireless power transfer (WPT) can find the potential applications reaching from power transfer to low power appliances to high power electric vehicle battery charging and industrial systems applications. Inductive power pads are the key components for magnetic induction based WPT systems. Hence, this paper labels the analysis of magnetic coupling characteristics of spiral square inductive pads with various misalignments. In this process the inductive power pads are designed in FEM simulation. The modelling approach is presented to calculate the coupling coefficient, self and mutual inductance of spiral square inductive pads of WPT system and also presented the power and efficiency analysis of the system. Â© 2021 IEEE.
Genetic algorithm based wrapper feature selection on hybrid prediction model for analysis of high dimensional data
(2015) Anirudha, R.C.; Kannan, R.; Patil, N.
Data mining concepts have been extensively used for disease prediction in the medical field. Many Hybrid Prediction Models (HPM) have been proposed and implemented in this area, however, there is always a need for increasing accuracy and efficiency. The existing methods take into account all the features to build the classifier model thus reducing the accuracy and increasing the overall processing time. This paper proposes a Genetic Algorithm based Wrapper feature selection Hybrid Prediction Model (GWHPM). This model initially uses k-means clustering technique to remove the outliers from the dataset. Further, an optimal set of features are obtained by using Genetic Algorithm based Wrapper feature selection. Finally, it is used to build the classifier models such as Decision Tree, Naive Bayes, k nearest neighbor and Support Vector Machine. A comparative study of GWHPM is carried out and it is observed that the proposed model performed better than the existing methods. � 2014 IEEE.
Genetic algorithm based wrapper feature selection on hybrid prediction model for analysis of high dimensional data
(Institute of Electrical and Electronics Engineers Inc., 2015) Rayasam, R.C.; Kannan, R.; Patil, N.
Data mining concepts have been extensively used for disease prediction in the medical field. Many Hybrid Prediction Models (HPM) have been proposed and implemented in this area, however, there is always a need for increasing accuracy and efficiency. The existing methods take into account all the features to build the classifier model thus reducing the accuracy and increasing the overall processing time. This paper proposes a Genetic Algorithm based Wrapper feature selection Hybrid Prediction Model (GWHPM). This model initially uses k-means clustering technique to remove the outliers from the dataset. Further, an optimal set of features are obtained by using Genetic Algorithm based Wrapper feature selection. Finally, it is used to build the classifier models such as Decision Tree, Naive Bayes, k nearest neighbor and Support Vector Machine. A comparative study of GWHPM is carried out and it is observed that the proposed model performed better than the existing methods. Â© 2014 IEEE.
Introduction to hybrid electric vehicle systems
(CRC Press, 2023) Luckose, V.; Kannan, R.; Kishan, D.
Hybrid electric vehicles (HEVs) have been identified as a prime technology in this modern world, lowering pollution from emissions and having great potential to reduce fuel consumption. They have proved to be an effective solution for minimizing oil dependency and improving air quality. These vehicles are powered by an electric motor, power electronic equipment, and an internal combustion engine (ICE). They are a promising approach to emission-free and environmentally friendly vehicles without affecting the vehicle's functionality and its driving performance. This chapter focuses on introducing HEV systems with their historical development, electric drive technologies, operation modes, and configurations. Also discussed are the power flow modes and power train concepts of HEV systems, and the different types of HEV based on the nature of their power sources. © 2023 selection and editorial matter, Dharavath Kishan, Ramani Kannan, B Dastagiri Reddy and Prajof Prabhakaran; individual chapters, the contributors.
Power Electronics for Electric Vehicles and Energy Storage: Emerging Technologies and Developments
(CRC Press, 2023) Kishan, D.; Kannan, R.; Dastagiri Reddy, B.D.; Prabhakaran, P.
This text will help readers to gain knowledge about designing power electronic converters and their control for electric vehicles. It discusses the ways in which power from electric vehicle batteries is transferred to an electric motor, the technology used for charging electric vehicle batteries, and energy storage. The text covers case studies and real-life examples related to electric vehicles. The book â€¢ Discusses the latest advances and developments in the field of electric vehicles â€¢ Examines the challenges associated with the integration of renewable energy sources with electric vehicles â€¢ Highlights basic understanding of the charging infrastructure for electric vehicles â€¢ Covers concepts including the reliability of power converters in electric vehicles, and battery management systems. This book discusses the challenges, emerging technologies, and recent development of power electronics for electric vehicles. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, environmental engineering, automotive engineering, and computer science. Â© 2023 selection and editorial matter, Dharavath Kishan, Ramani Kannan, B Dastagiri Reddy and Prajof Prabhakaran; individual chapters, the contributors.
Primary side control strategies for battery charging regulation in wireless power transfer systems for EV applications
(John Wiley and Sons Inc, 2024) Vinod, M.; Kishan, D.; Kannan, R.; Iqbal, A.; Sulthan, S.
Resonant inductive-based wireless power transfer (WPT) for battery charging has potential applications in electric vehicles (EVs). The EV battery charging process requires the regulation of both charging voltage and current. Duty ratio or frequency control is generally preferred to manage the power flow between the transmitter and receiver coils in the WPT system. In the case of WPT charging, misalignment between the coils and parameter variations are unavoidable issues that result in changes to the output power. Therefore, it is essential to control the power flow to maintain constant current (CC) and constant voltage (CV) modes during battery charging. To address these challenges, various primary-side control techniques, such as asymmetric clamped mode (ACM), asymmetric duty cycle (ADC), and phase-shift (PS) fixed frequency control strategies, have been proposed for WPT systems. This paper conducts a comparative analysis of these control methods, considering their output voltage ranges and their ability to maintain zero-voltage switching (ZVS) for the entire control range. Furthermore, the paper presents a generalized design for reduced-order small signal modelling, utilizing an extended describing function. The designed controller, based on small signal modelling, will undergo real-time testing to evaluate its dynamic performance in the series-series resonant converter. © 2023 The Authors. IET Power Electronics published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.