Janamejaya Channegowda

ORCID: 0000-0002-3634-4214
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Advanced Battery Technologies Research
  • Electric Vehicles and Infrastructure
  • Advancements in Battery Materials
  • Electric and Hybrid Vehicle Technologies
  • Advanced DC-DC Converters
  • Multilevel Inverters and Converters
  • Advanced Battery Materials and Technologies
  • Fuel Cells and Related Materials
  • Wireless Power Transfer Systems
  • Fault Detection and Control Systems
  • Energy Harvesting in Wireless Networks
  • Control Systems and Identification
  • Silicon Carbide Semiconductor Technologies
  • Energy Load and Power Forecasting
  • Advanced Chemical Sensor Technologies
  • Human Pose and Action Recognition
  • Blockchain Technology Applications and Security
  • Reliability and Maintenance Optimization
  • Real-time simulation and control systems
  • Data Stream Mining Techniques
  • Machine Learning and ELM
  • Hand Gesture Recognition Systems
  • Advanced battery technologies research
  • Innovative Energy Harvesting Technologies
  • IoT-based Smart Home Systems

University of Ontario Institute of Technology
2015-2024

National Institute of Technology Tiruchirappalli
2023

M S Ramaiah University of Applied Sciences
2020-2022

Indian Institute of Science Bangalore
2014

The commercial success of electric vehicles (EVs) relies heavily on the presence high-efficiency charging stations. This paper provides an overview and a comprehensive performance comparison present status future implementation plans for DC fast infrastructures converter topologies. also discusses critical consequences stations AC grid. Different power topologies are presented, compared, evaluated, based level requirements, efficiency, cost, technical specifications. focuses specifically...

10.1109/isie.2015.7281479 article EN 2015-06-01

Energy storage systems have been in the spotlight for past decade as they offer tangible solutions to ever-growing pollution problem faced by planet. These systems, primarily lithium-ion based, power most of mobile devices and electric vehicles (EVs). Substantial efforts are being made electrify every mode transportation combat climate change. Accurate state-of-charge (SOC) state-of-health (SOH) assessment batteries play an important role determining available range EVs. Research this area...

10.1002/er.7013 article EN International Journal of Energy Research 2021-07-14

Today we have enormous amount of data available in every sector, with the advent technology available, it is possible to provide solutions many problems. In this paper are going problems related healthcare management using Machine Learning and Blockchain. Extracting only relevant information from use Learning. This done trained algorithms. Once stored, next problem Data sharing its reliability. where Blockchain comes into picture. The consensus makes sure that legitimate transactions secure....

10.23919/icombi48604.2020.9203483 article EN 2020-02-01

Abstract Large‐scale global efforts for electrifying different modes of transportation have fueled the need energy‐dense storage systems. Lithium‐ion batteries shown promise to be a favourable technology power pure electric vehicles, off‐board systems microgrids and other hybrid vehicle applications. Accurate estimation vital battery parameters, such as state‐of‐charge, enable user predict remaining useful life lithium‐ion batteries. Although multiple data‐driven techniques over years...

10.1002/est2.354 article EN Energy Storage 2022-05-04

This paper presents a comparative evaluation of the average and switching models dc-dc boost converter from point view real-time simulation. Both are used to simulate in on Field Programmable Gate Array (FPGA) platform. The is considered function over wide range operating conditions, could do transition between continuous conduction mode (CCM) discontinuous (DCM). While model known be computationally efficient perspective off-line simulation, same shown here consume more logical resources...

10.1109/conecct.2014.6740360 article EN 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) 2014-01-01

Electric Vehicles (EV) use energy storage systems like Lithium (Li) ion battery packs to drive them. The degradation of such batteries is strongly dependent on the type charging and discharging patterns. Short time high utilization capacity can be achieved by pulse charging. In this paper, a Li was modeled as multiple RC pairs ranging from one five using MATLAB / Simulink. values were in order mΩ kF respectively. advantage modeling that frequency transients current are captured during It...

10.1109/pedes49360.2020.9379617 article EN 2020-12-16

The paper discusses design and modeling of a continuous conduction mode (CCM) power factor correction AC-DC Boost converter. prototype board designed in this achieves total harmonic distortion less than 10 percent greater 0.9 for both 120Vrms 230Vrms. an efficiency 90%. the converter was done using simulation software such as MathCAD.

10.1109/greentech48523.2021.00069 article EN 2021-04-01

The electric vehicle (EV) industry has seen extraordinary growth in the last few years. This is primarily due to an ever increasing awareness of detrimental environmental effects fossil fuel powered vehicles and availability inexpensive lithium-ion batteries (LIBs). In order safely deploy these LIBs vehicles, certain battery states need be constantly monitored ensure safe healthy operation. use machine learning estimate such as state-of-charge state-of-health have become extremely active...

10.1002/er.7081 article EN International Journal of Energy Research 2021-07-26

Cuk and SEPIC are some of the important DC-DC converters used for charging batteries. In this paper, a generalized circuit averaging technique is employed converters. The derived equations to obtain frequency response open loop transfer function. ratio perturbed output voltage duty cycle (C <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">vd</sub> ) simulated using LTSpice software package. averaged models aids in faster simpler simulation....

10.1109/pesa50370.2020.9343951 article EN 2020-12-07

This paper discusses a 100 W single stage Power Factor Correction (PFC) flyback converter operating in boundary mode constant ON time methodology using synchronous MOS-FET rectifier on the secondary side to achieve higher efficiency.Unlike conventional designs which use two approach such as PFC plus LLC resonant or flyback, proposed design integrates and voltage regulation without compromising efficiency of converter.The is advantageous it has lower component count.A from universal input AC...

10.1109/conecct50063.2020.9198408 article EN 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) 2020-07-01

Abstract Energy dense lithium‐ion batteries are extensively used in all portable electronic devices and electric vehicles as well. State‐of‐charge estimation of these has been considerable commercial interest this key metric can be construed the available range vehicles. is also important to ascertain remaining usage time battery powered devices. In paper a graph neural network‐based approach employed estimate parameters such as, voltage, capacity, etc. To best authors' knowledge, first...

10.1002/adts.202200128 article EN Advanced Theory and Simulations 2022-06-21

Electric Vehicle (EV) fleets have dramatically expanded over the past several years. There has been significant increase in interest to electrify all modes of transportation. EVs are primarily powered by Energy Storage Systems such as Lithium-ion Battery packs. Total battery pack capacity translates available range an EV. State Charge (SOC) is ratio total and expressed percentages. It crucial accurately estimate SOC determine EV while it use. In this paper, a Temporal Convolution Network...

10.1109/indicon49873.2020.9342315 article EN 2021 IEEE 18th India Council International Conference (INDICON) 2020-12-10

Electric Vehicle numbers have rapidly increased over the past decade. There is a dire need to establish accurate simulation frameworks model performance. Multiple model-based approaches been proposed in literature which consider impact of various drive cycles on vehicle characteristics. All available models use lumped battery parameters do not capture dynamic behaviour vehicle. A detailed considering cycle dynamics In Digital Twins explored by researchers. This paper aims provide tangible EV...

10.1109/conecct55679.2022.9865710 article EN 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) 2022-07-08

The paper gives a complete design and analysis of 105 W Flyback transformer operating in critical conduction mode. One the challenges CrCM is high peak RMS current that flows converter which lead to higher winding loss transformer. Selecting core wire size become an important criterion for efficient operation converter. shows includes calculating copper (both AC DC loss). Four transformers were built prototype their breakdown has been shown.

10.1109/stpec49749.2020.9297674 article EN 2020 IEEE First International Conference on Smart Technologies for Power, Energy and Control (STPEC) 2020-09-25

Blockchain inherently involves a growing list of records, called blocks, each block is encrypted and distributed across the network. This attribute provides added security to transmitted data, which has been extensively exploited in finance sector. recent technology that can revolutionize conventional business practices. There are multiple advantages using on an international scale, it reduce departmentalism, increase efficiency administrative processes enhance level trust public...

10.23919/icombi48604.2020.9203152 article EN 2020-02-01

Steady growth in the number of Electric Vehicles (EVs) has resulted demand for Energy Storage Systems such as Lithium-ion batteries (LIBs). Recent research efforts electric automotive domain have been focused on precise State-of-Charge (SOC) estimation LIBs. This accuracy is vital it can be directly expressed available range EV. paper presents a simple and effective technique estimating SOC LIBs using Unscented Kalman Filter (UKF) which an efficient procedure non-linear estimation. The...

10.1109/pesgre52268.2022.9715919 article EN 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020) 2022-01-02

Battery capacity estimators play a vital role in assessing remaining usage time today's smartphones. Latest data driven techniques need an extensive curated dataset to provide precise battery estimation. Transferring secure smartphone generated from various devices servers consumes inordinate amount of energy. Federated Learning (FL) aims avoid large-scale transfer between and by training Machine (ML) models on localized devices. This approach is advantageous as there marked reduction total...

10.1109/delcon54057.2022.9753113 article EN 2022 IEEE Delhi Section Conference (DELCON) 2022-02-11

The most favored approaches for Lead-acid battery simulation are Electrochemical and Equivalent Circuit Models. models although accurate, suffer from being computationally expensive. Approximate Models provide inadequate physical insight. In this paper we derive Model parameters the electro-chemical Leading Order Quasi Static (LOQS) model. This model derives electrical behaviour material properties. derived approach captures entire dynamic transient characteristics of load. reduced-order is...

10.1109/delcon54057.2022.9753635 article EN 2022 IEEE Delhi Section Conference (DELCON) 2022-02-11

Abstract Advent of multiple data‐driven techniques in the energy storage domain has resulted development accurate battery capacity estimators. A major impediment to research this is limited availability diverse datasets. Generation synthetic data vital when experimental unavailable. Moreover, privacy concerns and confidentiality restrictions have further fueled scarcity domain. Present state‐of‐the‐art for generators are primarily built on Generative Adversarial Networks (GANs). Although...

10.1002/est2.297 article EN Energy Storage 2021-10-25

Fast Charging (FC) stations for Electric Vehicles (EV) are gaining popularity as it has become evident that all modes of transportation will be electrified in the not so distant future. The lack range currently available electric vehicles have also fueled need these quick charging stations. typical power levels FC 50kW and above, generally an off-board structure. Three phase front end rectifiers a preferred choice converter Though many topologies been proposed suitable candidate this...

10.1109/apec.2017.7931200 article EN 2022 IEEE Applied Power Electronics Conference and Exposition (APEC) 2017-03-01

Recent surge in the number of Electric Vehicles have created a need to develop inexpensive energy-dense Battery Storage Systems. Many countries across planet put place concrete measures reduce and subsequently limit vehicles powered by fossil fuels. Lithium-ion based batteries are presently dominating electric automotive sector. Energy research efforts also focussed on accurate computation State-of-Charge such provide reliable vehicle range estimates. Although estimation algorithms precise...

10.1109/tia.2023.3265359 article EN IEEE Transactions on Industry Applications 2023-04-07

The energy storage sector has witnessed meteoric growth in the last decade. Lithium-ion based batteries, at centre of this unprecedented rise systems, have been driving electrification revolution automotive domain. These lithium-ion batteries are largely used consumer electronic devices and wearables. research activities primarily focused on devising accurate algorithms to compute state-of-charge these systems. State-of-charge helps calculate remaining usage time determines range an electric...

10.1002/er.7784 article EN International Journal of Energy Research 2022-02-25
Coming Soon ...