Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Due to the increasing demand of Li-ion batteries in automobiles and home applications due to their high volumetric energy density, high gravimetric energy density, low self-discharge and high efficiency. However, due to their high energy carrying capability, they tend to be more unstable compared to other batteries like lead acid batteries and hence need extensive monitoring to make sure they are operating within their specified safe operating limits; failing to do so may result in fire hazards and explosions. Hence this creates a demand for sophisticated Battery Management System (BMS) which will not only optimize power draw from the batteries but also keep them operating within safe limits, thus not putting the users at risk. This research paper begins with battery modelling using passive components and discusses the major factors which are important while designing an effective BMS. It also provides simulation to help better understand the functioning of a BMS. © 2021 Institute of Physics Publishing. All rights reserved.

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Journal of Physics: Conference Series

Passive cell balancing of li-ion batteries used for automotive applications

This paper presents a microcontroller based closed loop speed control of Switched Reluctance Motor (SRM) drive powered through Asymmetric Half Bridge Converter (AHBC). Conduction angle control method is adopted for speed control and it is done by adjusting the duty cycle of PWM signal using a potentiometer. The performance comparison of speed control of SRM drive through single switch per phase converter and AHBC is performed with the help of soft chopping in conduction angle control method. © 2021 Institute of Physics Publishing. All rights reserved.

Conduction angle control of switched reluctance motor

This paper reports implementation of Battery Energy Storage System (BESS) for Switched Reluctance Generator (SRG) based wind power generation system supplying stand alone load. MATLAB/Simulink model of the SRG machine is developed using the characteristics acquired by solving the Finite Element Analysis (FEA) model of the machine used for implementation. Wind turbine is incorporated with Maximum Power Point Tracking (MPPT) control technique and to mitigate the problem of wind power fluctuation a BESS for a wind powered SRG with Isolated Bi-directional DC-DC Converter (IBDC) is proposed. The response of BESS is evaluated using MATLAB/Simulink computing tool and the results are reported. For experimental purpose, the wind turbine is emulated by a 12V DC motor. The BESS for wind powered SRG is analyzed and implemented using microcontroller to validate the simulation results.

International Journal of Renewable Energy Research

Implementation of wind powered Switched Reluctance Generator system

This paper reports a review of various methods of solar tracking with gains in energy due to tracking and different MPPT algorithms. The fossil fuels are non-renewable, limited and deplete. Therefore, it is imperative to find alternative sources of energy. As solar energy is available abundantly in nature, it can be considered as a best alternative to meet the energy demand. It is sustainable, renewable and scalable. Increasing the efficiency of harnessing solar energy should be one of our foremost concerns as it is a renewable source. The challenge in tapping this energy is to increase the efficiency as well as to reduce the cost of production. Therefore an attempt is made to review the various Maximum Power Point Tracking (MPPT) algorithms, different solar tracking methods and the energy gained by using these methods. Further, a single axis microcontroller based automatic tracker is implemented and tested for its performance in real time. The work focusses on the orientation of solar panel towards the direction of maximum radiation by using a stepper motor interfaced with ARM processor. © 2017 Elsevier Ltd

VIT Unitversity

Renewable and Sustainable Energy Reviews

Solar tracking methods to maximize PV system output – A review of the methods adopted in recent decade

This paper presents the design and implementation of small power switched reluctance generator (SRG)-based wind energy conversion system supplying stand-alone DC load. A finite element analysis (FEA) model is developed for the existing machine geometry using MagNet 7.1.1 and solved to obtain parameters like ux linkage, inductance, and torque. The data obtained from the FEA model are utilized to develop an SRG machine model in the MATLAB/Simulink environment. The phase winding of the SRG is excited through asymmetric half bridge converter with dedicated buses for source and load to avoid absorbing a large current from the excitation battery. The performance of the system is analyzed for various values of torque input and dwell angle; the output of the SRG is supplied to the stand-alone DC load. A wind turbine with perfect maximum power point tracking algorithm is modelled to extract maximum power from the wind turbine and it is emulated by a DC motor. We implemented the SRG-based small power wind energy conversion system using a microcontroller. The results are examined. © 2016 Tübitak.

Turkish Journal of Electrical Engineering and Computer Sciences

Design and implementation of small power switched reluctance generator-based wind energy conversion system

This study deals with analysis of grid integrated Switched Reluctance Generator (SRG) based wind farm control using Modified Hybrid Multicell Converter (MHMC). A Finite Element Analysis (FEA) model is developed for the existing machine geometry using MagNet 7.1.1 and solved to obtain the parameters like flux linkage, inductance and torque. The data obtained from FEA Model is utilized to develop model of SRG in the MATLAB/SIMULINK environment. Asymmetric Half Bridge Converter (AHBC) with dedicative buses for source and load is used for excitation. Developed wind turbine with Maximum Power Point Tracking (MPPT) algorithm to extract maximum power from the wind turbine. Output of the SRG is integrated with grid through Modified Hybrid Multicell Converter. The MHMC uses a flying capacitor module on each cell to generate a positive variable dc-link voltage. The variable dc link is inverted at fundamental switching frequency by an H-bridge to generate the cell output voltage. Phase-Disposition level-shifted Pulse Width Modulation (PD-PWM) Technique is used to obtain the high performance waveforms. In this study wind farm having four SRG'S controlled through MHMC is proposed. © Maxwell Scientific Organization, 2015.

Research Journal of Applied Sciences, Engineering and Technology

Grid-connected switched reluctance generator based wind farm control using modified hybrid multicell converter

This paper presents analysis of Switched Reluctance Machine (SRM) using Geometry Based Analytical Model (GBAM), Finite Element Analysis (FEA) and Fourier Series Model (FSM) with curve fitting technique. Further a Transient Analysis (TA) technique is proposed to corroborate the analysis. The main aim of this paper is to give in depth procedure in developing a Geometry Based Analytical Model of Switched Reluctance Machine which is very accurate and simple. The GBAM is developed for the specifications obtained from the manufacturer and magnetizing characteristic of the material used for the construction. Precise values of the parameters like Magneto Motive Force (MMF), flux linkage, inductance and torque are obtained for various rotor positions taking into account the Fringing Effect (FE). The FEA model is developed using MagNet7.1.1 for the same machine geometry used in GBAM and the results are compared with GBAM. Further another analytical model called Fourier Series Model is developed to justify the accuracy of the results obtained by the methods GBAM and FEA model. A prototype of microcontroller based SRM drive system is constructed for validating the analysis and the results are reported. © The Korean Institute of Electrical Engineers.

Journal of Electrical Engineering and Technology

Development of analytical models for switched reluctance machine and their validation

This paper presents analysis of Switched Reluctance Machine (SRM) using Geometry Based Analytical Model (GBAM), Finite Element Analysis (FEA) and Fourier Series Model (FSM) with curve fitting technique. Further a Transient Analysis (TA) technique is proposed to corroborate the analysis. The main aim of this paper is to give in depth procedure in developing a Geometry Based Analytical Model of Switched Reluctance Machine which is very accurate and simple. The GBAM is developed for the specifications obtained from the manufacturer and magnetizing characteristic of the material used for the construction. Precise values of the parameters like Magneto Motive Force (MMF), flux linkage, inductance and torque are obtained for various rotor positions taking into account the Fringing Effect (FE). The FEA model is developed using MagNet7.1.1 for the same machine geometry used in GBAM and the results are compared with GBAM. Further another analytical model called Fourier Series Model is developed to justify the accuracy of the results obtained by the methods GBAM and FEA model. A prototype of microcontroller based SRM drive system is constructed for validating the analysis and the results are reported. © Research India Publications.

International Journal of Applied Engineering Research

Analytical model development of switched reluctance machine and its validation

This paper deals with modeling and performance analysis of Switched Reluctance Generator (SRG). A Finite Element Analysis (FEA) model is developed for the existing machine geometry using MagNet 7.1.1 and solved to obtain the parameters like flux linkage, inductance and torque. The data obtained from FEA Model is utilized to develop model of SRG in the MATLAB/Simulink environment. The performance of SRG is analyzed at various operating conditions and operating variables are identified to control the output power. The model of SRG is developed with Regulator Circuit (RC) to regulate the output power irrespective of the load change and source voltage variations. © 2014 IEEE.

2014 International Conference on Science Engineering and Management Research, ICSEMR 2014

Modeling and performance analysis of switched reluctance generator

This paper presents analysis of a Switched Reluctance Machine (SRM) operated as a motor and generator for various operating conditions using Finite Element Analysis (FEA). Based on the data of flux linkage and torque obtained using FEA, the inductance value is calculated. Also developed a SRM model in the MATLAB/Simulink environment. While an Asymmetric Half Bridge Converter (AHBC) is used for excitation in the motor mode operation, the problem of using the same converter during generator mode is vividly explained. © 2013 IEEE.