Efficient Power Electronic Converter for Electric Vehicle Applications with Energy Storage Systems

Elakya, A.; Srikeerthana, K.R.; Santhiya, R.; Sanjeevkapoor, S.; M, Ragul

doi:10.1109/icaccs48705.2020.9074310

Cited by 6 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This research presents a simple and low-cost power electronic converter system with feedback for use as an energy storage system (Elakya et al, 2020). In this electric vehicle system, the multi input dc-dc converter is crucial.…”

Section: Literature Reviewmentioning

confidence: 99%

Hybrid Energy Storage System Techniques Utilizing Artificial Neural Network

Prakash Bihari,

Gupta,

Gupta

et al. 2022

INTERNATIONAL CONFERENCE ON POWER ELECTRONICS &Amp; SUSTAINABLE DEVELOPMENT (ICPESD)

View full text Add to dashboard Cite

In this study, we look into and put into practise methods for constructing a HESS for Electric Vehicles, which is important to the proper operation of electric vehicles. The rising usage of electricity has given rise to recommendations and significant projects to enhance energy efficiency in a wide range of activities, from manufacturing to trade, transportation to modern communications, entertainment to PCs and small devices. An essential innovation for lowering energy use is the ability to store any surplus electrical energy for lengthy periods of time and subsequently retrieve it profitably. This is analyzed and examined in MATLAB Simulink from the standpoint of EVs, primarily for hybrid energy storage systems. A Li-ion battery and a super capacitor are included in the proposed HESS for charging the electric car. To improve the outcomes gained utilizing PI controlled approaches, the control system is created with Artificial Neural Networks. It minimizes the system’s calculation complexity by lowering the Kp and Ki calculations. The neural network enhances the system’s self-learning capability while also improving it by decreasing any irregularities.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Hybrid Energy Storage System Techniques Utilizing Artificial Neural Network

Prakash Bihari,

Gupta,

Gupta

et al. 2022

INTERNATIONAL CONFERENCE ON POWER ELECTRONICS &Amp; SUSTAINABLE DEVELOPMENT (ICPESD)

View full text Add to dashboard Cite

show abstract

“…Power electronics for smart grids provide lossless switching for bulk energy storage and conversion of power per utilization and a recent advancement is its usage in EVs, HVDC transmission, and PV system [8][9][10]. For multi-voltage conversion, multilevel converters can be used which overcome the flexibility barrier of a specific grid.…”

Section: Introductionmentioning

confidence: 99%

Proposed Model of Sustainable Resource Management for Smart Grid Utilization

Tauqeer

Saeed

Yousuf

et al. 2021

WEVJ

View full text Add to dashboard Cite

Automation and modernization of the grid with the availability of micro-grids including non-conventional sources of energy are the main constituent of smart grid technology. Most energy demand is fulfilled by fossil fuel-based power plants. Inadequacy of fuel resources, higher operating costs, and ever-increasing carbon emissions are the primary constraints of fossil fuels-operated power plants. Sustainable energy resource utilization in meeting energy demand is thought to be a preferred solution for reducing carbon emissions and is also a sustainable economic solution. This research effort discusses an accurate mathematical modeling and simulation implementation of a sustainable energy resource model powered by solar, grid, and proton exchange membrane fuel cell (PEMFC) stack and focuses on the energy management of the model. In the proposed model, despite energy resources being sustainable, consumer side sustainability is achieved by using electrical charging vehicles (ECVs) to be integrated with sustainable resources. The proposed energy resource management (ERM) strategy is evaluated by simulating different operating conditions with and without distributed energy resources exhibiting the effectiveness of the proposed model. PEMFC is incorporated in the model to control fluctuations that have been synchronized with other energy resources for the distribution feeder line. In this proposed model, PEMFC is synchronized with grid and solar energy sources for both DC and AC load with ERM of all sources, making the system effective and reliable for consumer-based load and ECVs utilization.

show abstract

Computational Capability of Low-Cost Microcontroller boards for Controlling Power Electronics Converter: An Experimental Study

Kishor

Patel

2021

2021 IEEE Bombay Section Signature Conference (IBSSC)

View full text Add to dashboard Cite

Efficient Power Electronic Converter for Electric Vehicle Applications with Energy Storage Systems

Cited by 6 publications

References 4 publications

Hybrid Energy Storage System Techniques Utilizing Artificial Neural Network

Hybrid Energy Storage System Techniques Utilizing Artificial Neural Network

Proposed Model of Sustainable Resource Management for Smart Grid Utilization

Computational Capability of Low-Cost Microcontroller boards for Controlling Power Electronics Converter: An Experimental Study

Contact Info

Product

Resources

About