scholarly journals Differential Evolution in Waveform Design for Wireless Power Transfer

Telecom ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 96-113
Author(s):  
Pavlos Doanis ◽  
Achilles Boursianis ◽  
Julien Huillery ◽  
Arnaud Bréard ◽  
Yvan Duroc ◽  
...  
Keyword(s):  
Power Efficiency ◽  
Optimization Problem ◽  
Nonlinear Behavior ◽  
Wireless Power Transfer ◽  
Waveform Design ◽  
Optimal Solutions ◽  
Power Transfer ◽  
Wireless Power ◽  
Single Input Single Output ◽  
Single Output

The technique of transmitting multi-tone signals in a radiative Wireless Power Transfer (WPT) system can significantly increase its end-to-end power efficiency. The optimization problem in this system is to tune the transmission according to the receiver rectenna’s nonlinear behavior and the Channel State Information (CSI). This is a non-convex problem that has been previously addressed by Sequential Convex Programming (SCP) algorithms. Nonetheless, SCP algorithms do not always attain globally optimal solutions. To this end, in this paper, we evaluate a set of Evolutionary Algorithms (EAs) with several characteristics. The performance of the optimized multi-tone transmission signals in a WPT system is assessed by means of numerical simulations, utilizing a simplified Single Input Single Output (SISO) model. From the model evaluation, we can deduce that EAs can be successfully applied to the waveform design optimization problem. Moreover, from the presented results, we can derive that EAs can obtain the optimal solutions in the tested cases.

Optimal design of the compensation networks of an inductive wireless power transfer system

2019 ◽  
Vol 39 (1) ◽  
pp. 231-238 ◽  
Author(s):  
Manuele Bertoluzzo ◽  
Elisabetta Sieni
Keyword(s):  
Optimization Algorithm ◽  
Wireless Power Transfer ◽  
Transfer System ◽  
Optimal Solutions ◽  
Power Transfer ◽  
Wireless Power ◽  
Actual Performance ◽  
Content Type ◽  
Wireless Power Transfer System ◽  
Short Time

Purpose This paper aims to present an approach to the design of the compensation networks (CNs) based on a genetic optimization algorithm. The algorithm is applied to CNs with T-topology and considers the effects of the parasitic series resistances of their inductive components. The effectiveness of the algorithm is verified using Bode diagrams and simulation results. Design/methodology/approach The paper at first describes the problem and the approach followed to reach a set of optimal solutions, then explains the optimization algorithm, reports the obtained solutions and selects the optimal CNs. Finally, the actual performance of the wireless power transfer system (WPTS) when the selected CNs are used are checked. Findings This approach gave interesting results and made available a number of different sizing solutions of complex networks in a very short time. Most of the obtained solutions outperform the widely used series-series compensation. An accurate post processing of the obtained result is mandatory to discriminate the solutions that could be implemented from those that in a real system would originate uncontrolled high frequency current oscillation. Originality/value This paper offers a rather new approach to solve the problem of sizing the CNs of a dynamic WPTS. This approach makes available a large number of optimal solutions to the problem in a short time, without solving complex system of equations.

A Review of Methods and Challenges for Improvement in Efficiency and Distance for Wireless Power Transfer Applications

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Sokol Kuka ◽  
Kai Ni ◽  
Mohammed Alkahtani
Keyword(s):  
Electric Vehicles ◽  
Power Efficiency ◽  
Near Field ◽  
Electronic Devices ◽  
Wireless Power Transfer ◽  
Power Transfer ◽  
Wireless Power ◽  
Inductive Power Transfer ◽  
The Past ◽  
Transmission Distance

AbstractOver the past few years, interest and research in wireless power transfer (WPT) have been rapidly incrementing, and as an effect, this is a remarkable technology in many electronic devices, electric vehicles and medical devices. However, most of the applications have been limited to very close distances because of efficiency concerns. Even though the inductive power transfer technique is becoming relatively mature, it has not shown near-field results more than a few metres away transmission. This review is focused on two fundamental aspects: the power efficiency and the transmission distance in WPT systems. Introducing the principles and the boundaries, scientific articles will be reviewed and discussed in terms of their methods and respective challenges. This paper also shows more important results in efficiency and distance obtained, clearly explaining the theory behind and obstacles to overcome. Furthermore, an overlook in other aspects and the latest research studies for this technology will be given. Moreover, new issues have been raised including safety and security.

scholarly journals Price-Based Resource Allocation in Wireless Power Transfer-Enabled Massive MIMO Networks

Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3298 ◽  
Author(s):  
Zhengqiang Wang ◽  
Kunhao Huang ◽  
Xiaona Yang ◽  
Xiaoyu Wan ◽  
Zifu Fan ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Convex Optimization ◽  
Optimization Problem ◽  
Wireless Power Transfer ◽  
Base Station ◽  
Power Transfer ◽  
Wireless Power ◽  
Convex Optimization Problem ◽  
Harvesting Time ◽  
Mimo Networks

This paper considers the price-based resource allocation problem for wireless power transfer (WPT)-enabled massive multiple-input multiple-output (MIMO) networks. The power beacon (PB) can transmit energy to the sensor nodes (SNs) by pricing their harvested energy. Then, the SNs transmit their data to the base station (BS) with large scale antennas by the harvesting energy. The interaction between PB and SNs is modeled as a Stackelberg game. The revenue maximization problem of the PB is transformed into the non-convex optimization problem of the transmit power and the harvesting time of the PB by backward induction. Based on the equivalent convex optimization problem, an optimal resource allocation algorithm is proposed to find the optimal price, energy harvesting time, and power allocation for the PB to maximize its revenue. Finally, simulation results show the effectiveness of the proposed algorithm.

scholarly journals Single-Tube and Multi-Turn Coil Near-Field Wireless Power Transfer for Low-Power Home Appliances

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 1969 ◽  
Author(s):  
Aqeel Jawad ◽  
Rosdiadee Nordin ◽  
Sadik Gharghan ◽  
Haider Jawad ◽  
Mahamod Ismail ◽  
...  
Keyword(s):  
Low Power ◽  
Power Efficiency ◽  
Copper Wire ◽  
Near Field ◽  
Wireless Power Transfer ◽  
Battery Life ◽  
Total System ◽  
Power Transfer ◽  
Wireless Power ◽  
Single Tube

Single-tube loop coil (STLC) and multi-turn copper wire coil (MTCWC) wireless power transfer (WPT) methods are proposed in this study to overcome the challenges of battery life during low-power home appliance operations. Transfer power, efficiency, and distance are investigated for charging mobile devices on the basis of the two proposed systems. The transfer distances of 1–15 cm are considered because the practicality of this range has been proven to be reliable in the current work on mobile device battery charging. For STLC, the Li-ion battery is charged with total system efficiencies of 86.45%, 77.08%, and 52.08%, without a load, at distances of 2, 6, and 15 cm, respectively. When the system is loaded with 100 Ω at the corresponding distances, the transfer efficiencies are reduced to 80.66%, 66.66%, and 47.04%. For MTCWC, the battery is charged with total system efficiencies of 88.54%, 75%, and 52.08%, without a load, at the same distances of 2, 6, and 15 cm. When the system is loaded with 100 Ω at the corresponding distances, the transfer efficiencies are drastically reduced to 39.52%, 33.6%, and 15.13%. The contrasting results, between the STLC and MTCWC methods, are produced because of the misalignment between their transmitters and receiver coils. In addition, the diameter of the MTCWC is smaller than that of the STLC. The output power of the proposed system can charge the latest smartphone in the market, with generated output powers of 5 W (STLC) and 2 W (MTCWC). The above WPT methods are compared with other WPT methods in the literature.

scholarly journals Optimization of Excitation Magnitudes and Phases for Maximum Efficiencies in a MISO Wireless Power Transfer System

2020 ◽  
Vol 20 (1) ◽  
pp. 16-22
Author(s):  
Hyeongwook Lee ◽  
Seunghyun Boo ◽  
Gunyoung Kim ◽  
Bomson Lee
Keyword(s):  
Wireless Power Transfer ◽  
Maximum Efficiency ◽  
Electromagnetic Simulation ◽  
Power Transfer ◽  
Wireless Power ◽  
Algorithm Optimization ◽  
Single Output ◽  
Multiple Input ◽  
Output System ◽  
Wireless Power Transfer System

This paper presents a method for solving receiver misalignment (axial or angular) problems in wireless power transfer systems using a multiple-input single-output system. The optimum magnitudes and phases of the transmitter voltages and receiver load for maximum efficiency are derived in convenient analytical forms when negligible mutual couplings between transmitters. These solutions are validated by genetic algorithm optimization and electromagnetic-simulation results for a design ex-ample of two transmitters and one rotating receiver.

scholarly journals Hybrid Coils-Based Wireless Power Transfer for Intelligent Sensors

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2549
Author(s):  
Mustafa F. Mahmood ◽  
Saleem Lateef Mohammed ◽  
Sadik Kamel Gharghan ◽  
Ali Al-Naji ◽  
Javaan Chahl
Keyword(s):  
Heart Rate ◽  
Power Efficiency ◽  
Wireless Power Transfer ◽  
Power Measurement ◽  
Measurement Unit ◽  
Resistive Load ◽  
Power Transfer ◽  
Wireless Power ◽  
Harvesting Technique ◽  
Rate Sensor

Most wearable intelligent biomedical sensors are battery-powered. The batteries are large and relatively heavy, adding to the volume of wearable sensors, especially when implanted. In addition, the batteries have limited capacity, requiring periodic charging, as well as a limited life, requiring potentially invasive replacement. This paper aims to design and implement a prototype energy harvesting technique based on wireless power transfer/magnetic resonator coupling (WPT/MRC) to overcome the battery power problem by supplying adequate power for a heart rate sensor. We optimized transfer power and efficiency at different distances between transmitter and receiver coils. The proposed MRC consists of three units: power, measurement, and monitoring. The power unit included transmitter and receiver coils. The measurement unit consisted of an Arduino Nano microcontroller, a heart rate sensor, and used the nRF24L01 wireless protocol. The experimental monitoring unit was supported by a laptop to monitor the heart rate measurement in real-time. Three coil topologies: spiral–spiral, spider–spider, and spiral–spider were implemented for testing. These topologies were examined to explore which would be the best for the application by providing the highest transfer power and efficiency. The spiral–spider topology achieved the highest transfer power and efficiency with 10 W at 87%, respectively over a 5 cm air gap between transmitter and receiver coils when a 200 Ω resistive load was considered. Whereas, the spider–spider topology accomplished 7 W and 93% transfer power and efficiency at the same airgap and resistive load. The proposed topologies were superior to previous studies in terms of transfer power, efficiency and distance.

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