Communication/Model-Free Constant Current Control for Wireless Power Transfer Under Disturbances of Coupling Effect

Zhang, Zhen; Yu, Wenfeng

doi:10.1109/tie.2021.3084174

Cited by 11 publications

(6 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As it can be seen, the sensitivity coefficients in ( 21), ( 23), ( 24), (25), and (26) are respectively equal to the sensitivity coefficients in ( 27), ( 29), ( 30), (31), and (32). The sensitivity coefficients are used to quantify the influence of each estimated parameter on the system output.…”

Section: Sensitivity Analysismentioning

confidence: 99%

“…The cause of this problem is related to the absence of mutual inductance estimation. On the other hand, the authors in [31] have implemented a pre-trained neural network to ensure constant current output with respect to the variation of coupling coefficient. Although all measurements are carried out on the primary side, there are still some critical issues in [31] that should be considered, such as online training of the neural network and its applications to other IPT topologies.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, the authors in [31] have implemented a pre-trained neural network to ensure constant current output with respect to the variation of coupling coefficient. Although all measurements are carried out on the primary side, there are still some critical issues in [31] that should be considered, such as online training of the neural network and its applications to other IPT topologies. In a recent work [32], the authors have proposed an algorithm for real-time mutual inductance estimation to achieve fast tracking of the maximum efficiency point of the IPT system that contains an active rectifier on the secondary side.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Steady-State Multiple Parameters Estimation of the Inductive Power Transfer System

et al. 2022

View full text Add to dashboard Cite

In this paper, we proposed a novel steady-state multiple parameters estimation method of the two-coil inductive power transfer (IPT) system based on the measurement of the primary-side voltage and current fundamentals. The method is used to estimate key parameters, such as mutual inductance and equivalent load resistance, as well as receiver self-inductance and compensation capacitance values, and the total parasitic resistance of the secondary side. The method also allows the identification of the secondaryside resonant frequency. The parameters estimation procedure involves three operating modes of the IPT system: 1) open-circuit of the secondary side, 2) short-circuit of the secondary side, and 3) load connection. Each of these modes allows the identification of different parameters. To make the system operate in predefined modes, two switches are added to the receiver circuit. These switches are controlled from the secondary side, while the parameters estimation process, including load voltage and/or current control, is fully conducted on the primary side. The experimental tests on the prototype have validated the proposed method and demonstrated its effectiveness. The method can be applied to a new generation of highperformance wireless battery charging systems, where the single transmitter unit can be used to charge the battery pack in different devices.INDEX TERMS Inductive power transmission, parameters estimation, mutual coupling.

show abstract

Section: Sensitivity Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Steady-State Multiple Parameters Estimation of the Inductive Power Transfer System

et al. 2022

View full text Add to dashboard Cite

show abstract

“…In [35], an NN is adopted with the aim of adjusting the supply frequency of the system, but in this case, the NN directly generates the required frequency value without an intermediate controller. Paper [36] faces the topic of maintaining a constant current on the WPTS load despite a variation in the coils' mutual inductance M. The NN is trained to assess the phase shift angle of the primary side high-frequency inverter as a function of the Tx coil current. In [37], the maximum power transfer efficiency in an underwater WPTS is maintained by adjusting the supply voltage according to the outputs of an NN.…”

Section: Introductionmentioning

confidence: 99%

A Deep Learning Approach to Improve the Control of Dynamic Wireless Power Transfer Systems

Bertoluzzo,

Di Barba,

Forzan

et al. 2023

Energies

View full text Add to dashboard Cite

In this paper, an innovative approach for the fast estimation of the mutual inductance between transmitting and receiving coils for Dynamic Wireless Power Transfer Systems (DWPTSs) is implemented. To this end, a Convolutional Neural Network (CNN) is used; an image representing the geometry of two coils that are partially misaligned is the input of the CNN, while the output is the corresponding inductance value. Finite Element Analyses are used for the computation of the inductance values needed for CNN training. This way, thanks to a fast and accurate inductance estimated by the CNN, it is possible to properly manage the power converter devoted to charge the battery, avoiding the wind up of its controller when it attempts to transfer power in poor coupling conditions.

show abstract

“…However, the transfer efficiency and power of the conventional WPT system are influenced by the transfer distance, since the electric‐magnetic coupling strength between the transmitter and receiver varies with the separated distance 5 . In order to stabilize the transfer power and efficiency, many different control strategies and physical methods have been proposed for WPT systems in recent years, including high‐order compensation network, 6 active impedance matching, 7 adaptive network tuning, 8,9 and heuristic control algorithms 10 . Actually, WPT control methods can be divided into three categories: primary‐side‐only control, 11 secondary‐side‐only control, 12 and dual‐side control 13 .…”

Section: Introductionmentioning

confidence: 99%

A wireless power transfer system based on quasi‐parity–time symmetry with gain–loss ratio modulation

Zhang

2022

Circuit Theory & Apps

View full text Add to dashboard Cite

Wireless power transfer (WPT) systems based on parity-time (PT) symmetry can realize robust power transfer against the fluctuation of distance. There is an exceptional point (EP) that partitions the PT-symmetric and PT-broken phase, and it is nonadjustable at the conventional system with unity gainloss ratio unless changing circuit parameters, which limits the improvement of its transfer performance. This paper proposed a novel quasi-PT-WPT system based on gain-loss ratio modulation. The proposed system can operate under different gain-loss condition with constant transfer power and efficiency regardless of coupling coefficient variation at the PT-symmetric phase, which can enhance either the maximum transfer efficiency or distance alternatively. The proposed system consists of a nonlinear gain with adjustable gain-loss ratio to enable the transfer performance control, which is implemented by the virtual impedance. Experimental results verified the correctness of the theoretic analysis and implied the inherent contradiction between the transfer efficiency and distance.frequency tuning, parity-time (PT) symmetry, virtual impedance, wireless power transfer (WPT) | INTRODUCTIONWith the development of theories and hardware for nearfield magnetic coupling wireless power transfer (WPT), the WPT technique has made progress in practicality and gained great popularity in the last several decades. There is no doubt that WPT shows great commercial potential due to its technical advantages of safety and convenience, especially in some sceneries that are not convenient to apply wired power transmission. There are more and more applications that start to apply WPT techniques, including implantable medical devices (IMDs), 1 mobile portable terminals (MTPs), 2 underwater autonomous vehicles (UAVs), 3 and electric vehicles (EVs). 4 A practical WPT system must deliver power reliably to these modern devices mentioned above, which requires a robust WPT system. However, the transfer efficiency and power of the conventional WPT system are influenced by the transfer distance, since the electric-magnetic coupling strength between the transmitter and receiver varies with the separated distance. 5 In order to stabilize the transfer power and efficiency, many different control strategies and physical methods have been proposed for WPT systems in recent years, including high-order compensation network, 6 active impedance matching, 7 adaptive network tuning, 8,9 and heuristic control algorithms. 10 Actually, WPT control methods can be divided into three categories: primary-side-only control, 11 secondary-side-only control, 12 and dual-side control. 13 Primary-side-only control is indirect

show abstract

Communication/Model-Free Constant Current Control for Wireless Power Transfer Under Disturbances of Coupling Effect

Cited by 11 publications

References 27 publications

Steady-State Multiple Parameters Estimation of the Inductive Power Transfer System

Steady-State Multiple Parameters Estimation of the Inductive Power Transfer System

A Deep Learning Approach to Improve the Control of Dynamic Wireless Power Transfer Systems

A wireless power transfer system based on quasi‐parity–time symmetry with gain–loss ratio modulation

Contact Info

Product

Resources

About