Praveen Jugge
@griet.ac.in
Professor, Department of Electrical and Electronics Engineering
Gokaraju Rangaraju Institute of Engineering and Technology
RESEARCH INTERESTS
Power Electronics
Power Quality
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Vinay Kumar, Yogita Sharma, Priyanka Chadha, Saurav Dixit, Praveen Jugge, and Phaneendra Babu Bobba
EDP Sciences
This bibliometric analysis delves into the intricate realm of sustainability within the life cycle assessments (LCAs) of electric vehicles (EVs). Our study navigates the vast body of literature to uncover the evolving landscape, emerging trends, and critical research areas concerning the environmental impact of EVs throughout their entire life cycle. By placing a strong emphasis on sustainability, this analysis sheds light on how EVs can significantly contribute to eco-friendly transportation solutions. A systematic search was conducted using the Web of Science database, covering publications from 2001 to 2023. The search strategy used a combination of keywords related to LCA and EVs. The study found a total of 161 publications that met the inclusion criteria. The analysis revealed that the number of publications on LCA of EVs has been increasing steadily over the years, with a sharp rise in the last decade. The study identified the main research themes in the field, including LCA methodology, environmental impacts, energy use, and policy analysis. The analysis also highlighted the research gaps, such as the lack of studies on social impacts and the need for more comprehensive and comparative assessments. The findings of this study provide insights into the current state of research on LCA of EVs and can guide future research in this field.
K. Shyam Sunder Reddy, G. Ramesh, J. Praveen, P. Surekha, and Ayushi Sharma
EDP Sciences
Object detection, facial recognition, and person identification are important tasks in computer vision with numerous real-life applications. The major goal of the proposed model is to identify people and recognize them in the images. In this paper, we propose a real-time automated system that combines power of both EfficientDet model for object detection and the FaceNet model for facial recognition to detect persons in an input image, recognize their faces, and label them with their corresponding names. The experimental study of the model takes place on COCO dataset and a custom dataset of images of students. This solution can be applied to various scenarios beyond education, such as in security and surveillance, healthcare, transportation, retail, and entertainment etc. The importance of the model lies in its ability to efficiently and accurately perform person identification and recognition in real-time scenarios, which can save time and resources and improve overall efficiency.
T.V.V. Pavan Kumar, M. Harivardhan, V. Santhosh, G. Vamshi, Praveen Jugge, and Awadhesh Chandramauli
EDP Sciences
The internal conversion Integrated solar panel is a new type of solar panel that would be integrated into a traditional roof, rather than being installed on top of it. This could be an interesting solution to some of the challenges associated with traditional solar panels, such as the need for a separate mounting structure and the potential for shading. It could also potentially be more aesthetically pleasing, as it would blend in more with the rest of the building. Solar energy has the potential to provide clean and affordable electricity, but traditional solar panels have some limitations. In this proposal, we propose a novel solution: modifying existing solar panels into integrated solar roofs. The panels are integrated with a cement base and a special glass on top of the plate, creating a traditional roof that generates electricity more efficiently.
Ramesh Gajula, G.H.S. Sathwik Rudraraju, Pavan Teja Suppala, K.N.D.V. Surya Raghav, Babita Rani Randwal, and J. Praveen
EDP Sciences
The aim of this paper is to solve the problems in driving by introducing autonomous features into vehicles. An autonomous vehicle is a vehicle that can operate and drive itself without any human interference, with the help of sensors, to sense its surroundings and navigate itself. An autonomous vehicle is equipped with an automated driving system that is designed and trained by humans to allow the vehicle to respond to surroundings in a way that a human would act. In this paper, we develop a program with the help of AI/ML to detect roads, traffic signs, traffic conditions, and Surroundings and act according to them by altering the steering, acceleration, and braking. We plan to achieve this by taking input from a series of sensors and training the model to act accordingly. In this paper, we train neural networks with the help of human behavior. So, the model tries to mimic human behavior and human actions in a given situation.
Praveen Jugge, Vinay Kumar Awaar, Vyshnavi Ramineni, Saniya Mahawin, Minakshi Memoria, and D. Srinivas
EDP Sciences
The issue of slow charging and early battery life deterioration affects emerging new battery technologies. This study suggests a quick pulse charging technique that guards against battery deterioration and provides sustainable operation. The research primarily focuses on newly developed batteries charged from a solar source utilizing a pulsed approach. ANSYS or MATLAB/Simulink are used for the different simulations. The charger circuit comprises the Photovoltaic panel, transformer, a passive element like a capacitor, voltage regulator, and bridge rectifier. An optocoupler, an isolation circuit, and a DSP controller comprise the control circuit. The charger circuit receives power directly from the solar panel, and the duty ratio is configured in the Arduino software, which controls the output voltage.
Vinay Kumar Awaar, Praveen Jugge, Pujitha Dupati, G. Ramesh, and Ramnarayan
EDP Sciences
The voltage dynamic recovers steady-state, transient, and dynamic responses by protecting electrical equipment against unbalances, swells, and voltage sags and provides safe operation. The existing control structures were successful in restoring steady voltage. However, the intrinsic oscillations fail to account for those that may occur while quitting the system and introducing the DVR. The work describes a simple control system for dealing with dynamic, steady-state, and transient responses and intrinsic fluctuations that provides safety and sustainability as well. This suggested control system uses an upstream disturbance detection signal as the feed-forward. The feed-forward term is accomplished by the closed loop for the feedback of the controlling signal, which decreases transient changes and enhances system response. The HHO algorithm, the most recent metaheuristic optimisation algorithm, is utilised. Using MATLAB-Simulink, the system is simulated. Performance analysis of the proposed HHO algorithm is evaluated under different SWELL and SAG conditions.
Bobba Phaneedra Babu, Allem Rama Krishna Reddy, Gujjula Pratap, Murra Harshavardhana Reddy, A. Hussien Abbas, Raj Kumar, and J. Praveen
EDP Sciences
Energy recirculation concept in semiconductor device characterization can increase power handling capacity of the source and it will reduce naturally existing high electrical stresses on device under test. The proposed energy recirculation and storage circuits (ERSC) can be employed as a device in-situ testing unit, by storing and recirculating the energy of the storage elements. ERSC enables devices to be checked at full-power pressures without being attached to a high-power load or requiring high power source. ERSC has four active states of operations achieved by the two active switches of the proposed converter. This converter can function in four different modes of operation, namely - soft start, magnetize, charge, and energy recirculation modes. Another advantage of this converter is that the two circuits can be constructed to work synchronously or asynchronously, allowing for the testing of faster or slower devices depending on the performance of the device being tested. In this paper double pulse test, single ended buck boost and cascaded boost -buck ERSC converters are simulated using MATLAB/SIMULINK and based on the results cascaded boost-buck ERSC having better performance compared to existing testing methods.
Gajula Ramesh, Budati Anil Kumar, Praveen Jugge, Kolalapudi Lakshmi Prasad, and Mohammad Kamrul Hasan
CRC Press
P. Srividya Devi and Praveen Jugge
CRC Press
Vinay Kumar Awaar and Praveen Jugge
CRC Press
V. Vijaya Rama Raju and Praveen Jugge
CRC Press
G. Ramesh, B. Anil Kumar, and J. Praveen
CRC Press
Vinay Kumar Awaar, Venkatesh Chityala, Praveen Jugge, and S Tara Kalyani
IEEE
Dynamic voltage restorers’ dynamic, transient, and steady-state responses are essential in saving electrical devices from voltage sag, swell and unbalances. Control structures that exist now take success in achieving settled voltage restoration. However, they fail to account for the inherent oscillations that may happen at the time of DVR introduction or exiting the system. In this paper, a simple control structure is showcased, which will look after the dynamic response, transient and steady-state responses, and the transient inherent oscillations. This proposed control structure consists of a feedforward upstream disturbance detection signal. The closed-loop feedback control signal accomplishing feedforward term improves system response and reduces transient oscillations. The latest metaheuristic optimization algorithm, the Harris Hawks optimization (HHO) algorithm, is used to select distinguished PI controller parameters. The Control system is modeled in a synchronous reference frame (SRF). The system is simulated using MATLAB/Simulink.
Vinay Kumar Awaar, Pujitha Dupati, S Tara Kalyani, and Praveen Jugge
IEEE
A low-cost Variable Frequency Drive (VFD) is designed and is tested to drive an Induction Motor (IM) by varying the frequency and voltage supplied to it. A Sinusoidal Pulse Width Modulation (SPWM) control technique has been implemented to drive the motor. It has been developed with the support of LabVIEW software tools using the NI MyRIO-1900 controller. The performance of the designed VFD is verified and the results are presented here by conducting a few experiments.
T Amulya, Dogga Raveendhra, J Praveen, and Bl Narasimha Raju
IEEE
In the recent times, solar power is a promising replacement to fossil fuels. However, a number of factors, including the amount of solar irradiation and the absence of sunshine at night, reduce the efficiency of solar power. The MPPT approach is employed here in order to solve this issue. In a grid-connected solar energy system, transformerless PV inverters can be used because of their high efficiency, reliability, power density, low cost, and reduced size. However, the presence of a transformerless system will result in leakage currents, which is unacceptable in grid-connected applications. This research uses a H6 inverter, a modified version of the HERIC inverter, to reduce leakage currents. PI controllers are utilized to synchronize the H6 inverter and the grid. For grid-connected applications, this study intends to utilize solar energy and reduce the leakage currents produced by transformerless inverters, which are commonly used. Solar, a transformer-less step-up converter, and an h8 inverter are all integrated into one unit. The idea is to maximize the use of renewable resources, which reduces the demand on the grid.
T Amulya, Dogga Raveendhra, J Praveen, and Bl Narasimha Raju
IEEE
Advantages such as high efficiency, less weight and less cost make the transformer less photovoltaic (PV) inverters most prominent for the modern-day power requirements. The bidirectional capability is absent in the transformer less inverter like, H5, HERIC for the solar power storage system. Investigations are done on bidirectional Inverter/Rectifier to find out the reverse power flow approach. In this manuscript, an advanced bidirectional method is chosen H6 inverter topology is proposed with the altered modulation strategy by keeping the others same. In rectifier and inverter modes of the H6 circuitry, the DM level voltage features is obtained. Meanwhile, with the improved modulation method the leakage current issue is eliminated. Simulations and experiments verify the suggested single phase bidirectional H6 rectifier/inverter technology.
Vinay Kumar Awaar, Rajshri Simhadri, and Praveen Jugge
IEEE
Brushless DC Motor parameters are the focus of the paper. This research paper demonstrates that BLDC motors are widely regarded as the best electric motor for all kinds of electric cars. Brushless DC motors are employed because they are more efficient and need less maintenance. The speed range of a BLDC motor is quite broad, but controlling the speed is the challenge. The performance of a BLDC motor under various control methods is investigated. MATLAB/Simulink is used to simulate a BLDC motor and its control drive with an optimal back-Electro Motive Force (EMF) voltage. The direct torque control switching approach of the BLDC motor is presented in this paper. Experimental data has confirmed the correct performance of a BLDC motor driving model. The primary objectives were effective torque controlling, torque ripple minimization, and enhanced performance of the BLDC motor as compared to traditional switching control methods, as well as the four different modes for the characterization of the BLDCM, which are Duty Cycle mode, Current control, Velocity Control, Cascaded mode are studied concurrently.
Nayak Padmalaya, Trivedi Veena, and Jugge Praveen
Springer Nature Singapore
Dogga Raveendhra, Poojitha Rajana, Kalamchety Srinivasa Ravi Kumar, Praveen Jugge, Ramesh Devarapalli, Eugen Rusu, and Hady H. Fayek
MDPI AG
A step-up for a non-isolated interleaved differential capacitor clamped boost (IDCCB) DC–DC converter is proposed in this manuscript. Because of its ability to produce high voltage gains, it is used in high-power applications. This converter’s modelling and control design are applicable to any number of phases. A six-phase interleaved differential capacitor clamped boost prototype is tested in this work, with an input voltage of 60 V, an output voltage of 360 V, and a nominal output power of 2.2 kW. The components of the converter are placed and controlled in such a way that the output voltage is the sum of the two capacitor voltages and the input voltage, which is two times higher than the supply voltage when compared to a conventional interleaved differential dual-boost converter. This converter reduces the stress on the capacitor with reference to the conventional interleaved differential boost converter for the same conversion gain. This prototype is considered and the developed approach is applied, after which the experimental results are obtained. This converter has potential for application in areas such as renewable energy conversion and electric vehicles.
N. Eashwaramma, J. Praveen, and M. VijayaKumar
Springer Singapore
Vinay Kumar Awaar, Rajshri Simhadri, Venkatesh Chityala, and Praveen Jugge
EDP Sciences
This paper presents a framework to carry out the BLDC motor characteristics using code composer studio software interfaced with a GUI named InstaSpinBLDC. The three phase BLDC motor is driven with DRV8312 and a control card TMS320F28069 is used to run the sensor InstaSpin BLDC. This proposed work is intended to track the dynamic performance and lower the minimum operating speed with respect to control modes. Four control modes have been modelled in conjunction of three phase inverter for BLDC motor. The simulation includes all realistic values and components of the motor. Three-phase inverter and its control algorithm are modeled and simulated using MATLAB Simulink. Hardware results have been presented along with the simulation results.
Someshwara Thota, Vinay Kumar Awaar, Praveen Jugge, and S Tara Kalyani
EDP Sciences
Voltage sag and voltage swell are frequently occurred power quality problems in present power distribution system, which are cause more problems to avoid these problems and maintain constant voltage at sensitive load during sag and swell Dynamic voltage restorer gives solution .we propose self-supported DVR, to minimize the cost by preventing external dc source in DVR, it is controlled by SRF PI control along with an inner current loop to stabilize the system and outer voltage loop to increase the system robustness. The proposed model provides fast voltage restoration for a short and long duration of voltage sags and swells manage wide load current variation for short and long voltage disturbances. In this paper, we present the effectiveness of the proposed method by using MATLAB/simulation results. A laboratory prototype DVR is modelled and we are using CCS studio to interface DSPTMS320F28027F
Chaitanya Kasala, Vinay Kumar Awaar, and Praveen Jugge
EDP Sciences
The power quality, which can affect consumers and their utility, is a key concern of modern power system. The sensitive equipment is damaged by voltage harmonics, sag and swell. Therefore, as usage of sensitive equipment has been increasing, power quality is essential for reliable and secure operation of the power system in modern times. The potential distribution flexible AC transmission system (D-FACTS) device, a dynamic voltage restorer (DVR), is widely used to address problems with non-standard voltage in the distribution system. It induces voltages to preserve the voltage profile and ensures continuous load voltage. In this paper, the voltage sag and swell is compensated by DVR with an artificial neural network (ANN) controller. For the generation of reference voltage for voltage source converter (VSC) switching, and for the voltage conversion from rotating vectors to stationary frame, synchronous reference frame (SRF) theory is applied. The DVR Control Strategy and its performance is simulated using MATLAB software. It is also shown a detailed comparison of the ANN controller with the conventional Proportional Integral controller (PI), which showed ANN controller’s superior performance with less Total Harmonic Distortion (THD).
G. Ramesh and J. Praveen
EDP Sciences
An electric vehicle with autonomous driving is a possibility provided technology innovations in multi-disciplinary approach. Electric vehicles leverage environmental conditions and are much desired in the contemporary world. Another great possibility is to strive for making the vehicle to drive itself (autonomous driving) provided instructions. When the two are combined, it leads to a different dimension of environmental safety and technology driven driving that has many pros and cons as well. It is still in its infancy and there is much research to be carried out. In this context, this paper is aimed at building an Artificial Intelligence (AI) framework that has dual goal of “monitoring and regulating power usage” and facilitating autonomous driving with technology-driven and real time knowledge required. A methodology is proposed with multiple deep learning methods. For instance, deep learning is used for localization of vehicle, path planning at high level and path planning for low level. Apart from this, there is reinforcement learning and transfer learning to speed up the process of gaining real time business intelligence. To facilitate real time knowledge discovery from given scenarios, both edge and cloud resources are appropriately exploited to benefit the vehicle as driving safety is given paramount importance. There is power management module where modular Recurrent Neural Network is used. Another module known as speed control is used to have real time control over the speed of the vehicle. The usage of AI framework makes the electronic and autonomous vehicles realize unprecedented possibilities in power management and safe autonomous driving. Key words: Artificial Intelligence Autonomous Driving Recurrent Neural Network Transfer Learning