Wireless Power Transfer Topologies used for Static and Dynamic Charging of EV Battery: A Review

Subudhi, Partha Sarathi; Krithiga, S.

doi:10.1515/ijeeps-2019-0151

Cited by 33 publications

(21 citation statements)

References 110 publications

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“…It has the ability to operate in zero voltage switching conditions outside resonance and is able to increase the power factor at the interface with a low EMI [63,[76][77][78]. A modified LLC topology utilizes a shunt inductor on the secondary side to be able to operate outside resonance conditions, increasing the versatility of the CPT system [67,76,79]. In addition, transformers on the primary and/or secondary side can realize the required voltage change and serve as impedance transformation [80][81][82].…”

Section: Other Compensation Topologiesmentioning

confidence: 99%

A Review of the Current State of Technology of Capacitive Wireless Power Transfer

2021

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Wireless power transfer allows the transfer of energy from a transmitter to a receiver without electrical connections. Compared to galvanic charging, it displays several advantages, including improved user experience, higher durability and better mobility. As a result, both consumer and industrial markets for wireless charging are growing rapidly. The main market share of wireless power is based on the principle of inductive power transfer, a technology based on coupled coils that transfer energy via varying magnetic fields. However, inductive charging has some disadvantages, such as high cost, heat dissipation, and bulky inductors. A promising alternative is capacitive wireless power transfer that utilizes a varying electric field as medium to transfer energy. Its wireless link consists of conductive plates. The purpose of this paper is to review the state of the art, link the theoretical concepts to practical cases and to indicate where further research is required to take next steps towards a marketable product. First, we describe the capacitive link via a coupling model. Next, we highlight the recent progress in plate topologies. Additionally, the most common compensation networks, necessary for achieving efficient power transfer, are reviewed. Finally, we discuss power electronic converter types to generate the electric field.

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Section: Other Compensation Topologiesmentioning

confidence: 99%

A Review of the Current State of Technology of Capacitive Wireless Power Transfer

2021

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“…Due to the increased number of electric vehicles (EV) and their charging stations, EVs can provide a storage facility in the system for a duration of minutes up to several hours. The authors, in [33]- [36] has discussed the methods EVs can be connected in the system, in a way of the vehicle to grid (V2G) and grid to the vehicle (G2V) energy transfer. As they can provide constant and immediate alternate power source to grid.…”

Section: Motivation and Background Literaturementioning

confidence: 99%

A Joint Optimization Model for Energy and Reserve Capacity Scheduling With the Integration of Variable Energy Resources

et al. 2021

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In this paper, a two-stage approach is proposed on a joint dispatch of thermal power generation and variable resources including a storage system. Although, the dispatch of alternate energy along with conventional resources has become increasingly important in the new utility environment. However, recent studies based on the uncertainty and worst-case scenario-oriented robust optimization methodology reveal the perplexities associated with renewable energy sources (RES). First, the load demand is predicted through a convolutional neural network (CNN) by taking the ISO-NECA hourly real-time data. Then, the joint dispatch of energy and spinning reserve capacity is performed with the integration of RES and battery storage system (BSS) to satisfy the predicted load demand. In addition, the generation system is penalized with a cost factor against load not served for the amount of energy demand which is not fulfilled due to generation constraints. Meanwhile, due to ramping of thermal units, the available surplus power will be stored in the backup energy storage system considering the state of charge of the storage system. The proposed method is applied on the IEEE-standard 6-Bus system and particle swarm optimization (PSO) algorithm is used to solve the cost minimization objective function. Finally, the proposed system performance has been verified along with the reliability during two worst-case scenarios, i.e., sudden drop in power demand and a short-fall at the generation end. INDEX TERMSCo-Dispatch, Spinning reserve, State of charge, Optimization, Renewable energy resources, Battery storage system, Particle swarm optimization NOMENCLATURE The main notations used in this paper are stated below. Additional symbols are defined in the article where required.

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“…However, in order to make this energy competitive with traditional ones, many researchers have put their efforts to improve the operation of the different stages of photovoltaic (PV) plants, including some applications as the electric vehicles [2], [3]. Therefore, the study has been mostly divided into the Maximum Power Point Tracking (MPPT) algorithms, in the power converter stage, using a dc/dc converter or only a inverter, and the proper control of these power converters [3], [4]. In this context of clean energy, the current work is placed on analyzing and proposing a simplified method of controlling power converters to inject solar energy to the grid, i.e., in the power converter stage.…”

Section: Introductionmentioning

confidence: 99%

A Novel Simplified Implementation of Finite-Set Model Predictive Control for Power Converters

et al. 2021

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This paper presents a novel simplified method to implement the finite set -model predictive control technique for photovoltaic generation systems connected to the ac network. This method maintains the advantages of the conventional finite set -model predictive control, such as fast response, simple implementation, and easy understanding; but it also eliminates the use of a cost function and hence the weighting factors, instead, it finds the optimal operating state directly from the model and the discrete number of valid states of the converter. Although the proposed algorithm does not compute a cost function, it is able to select the inverter state that minimizes the tracking error by using a hexagonal convergence region. The main advantage of this technique is to reduce the computational cost in 43% of the algorithm that selects the best state, presenting a simple and complete algorithm without compromising the predictive control performance. The proposed algorithm properly operates under various conditions such as changes in the network frequency and changes in the system parameters.INDEX TERMS Predictive control, Solar power generation, ac-dc power converters, Fast MPC.

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Wireless Power Transfer Topologies used for Static and Dynamic Charging of EV Battery: A Review

Cited by 33 publications

References 110 publications

A Review of the Current State of Technology of Capacitive Wireless Power Transfer

A Review of the Current State of Technology of Capacitive Wireless Power Transfer

A Joint Optimization Model for Energy and Reserve Capacity Scheduling With the Integration of Variable Energy Resources

A Novel Simplified Implementation of Finite-Set Model Predictive Control for Power Converters

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