Design of a Highly Efficient 20-kW Inductive Power Transfer System With Improved Misalignment Performance

Shi, Wenli; Dong, Jianning; Soeiro, Thiago Batista; Riekerk, Calvin; Grazian, Francesca; Yu, Guangyao; Bauer, Pavol

doi:10.1109/tte.2021.3133759

Cited by 28 publications

(15 citation statements)

References 53 publications

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“…As per in (8), W LC is a slow-varying positive variable, which does not contain any oscillating component. Meanwhile, (6) proves that i L peaks when u C becomes zero, which means the total energy of the LC tank is stored in the inductor as i L reaches the peak, and vice versa. Therefore, the amplitude of i L and u C , and I L and U C can be expressed as (9).…”

Section: A Energy Of An Lc Resonant Tankmentioning

confidence: 99%

“…The energy injected from the voltage source will either increase W LC or be consumed by the load. The phase angle between u g and i L is negligible as per (6). Thus, based on the balance of energy, the LC resonant tank can be modeled as…”

Section: B Energy Balancing Model For An Lc Resonant Tankmentioning

confidence: 99%

“…4 presents agreement between the total energy calculated based on the instantaneous winding current and the capacitor voltage and the amplitude of the winding current. This means the phase angle between i L1 (i L2 ) and u c1 (u c2 ) maintains to be π 2 as in (6). Assuming that the resonant frequency of both resonant tanks is equal to ω s , the energy of the resonant tanks can be expressed as…”

Section: Energy Balancing Model For Two Coupled Lc Resonant Tanksmentioning

confidence: 99%

“…In EV charging applications employing IPT systems, the presence of air gap between charging pads causes the coupling coefficient to be relatively low. Thus, the phase angle between u g and i L1 can be neglected as proved by (6). The energy interaction between LC1 and LC2 can be calculated with where I L1 and I L2 are the amplitudes of i L1 and i L2 , respectively.…”

Section: Energy Balancing Model For Two Coupled Lc Resonant Tanksmentioning

confidence: 99%

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Continuous Reduced-Order Dynamic Model Based on Energy Balancing for Inductive Power Transfer Systems

Shi

Dong

Soeiro

et al. 2022

IEEE Trans. Power Electron.

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Resonant circuits are commonly used in inductive power transfer (IPT) systems for the charging of electric vehicles because of the high power efficiency. Transient behaviors of the resonant circuits, which play a significant role in the design and analysis of IPT systems, are cumbersome to model analytically because of the high-order. This article develops a reduced-order continuous dynamic model based on the energy interactions among the resonant tanks. By applying the proposed energy balancing method (EBM), the order of the dynamic model is reduced to half of the number of the passive components in the resonant circuits. To show the accuracy of the EBM, the dynamics of a series-series (SS) compensated IPT system are modeled using Laplace phasor transformation (LPT) and EBM separately and the results are compared. The order of the EBM is found to be one-fourth of that of the LPT method. The sensitivity of the EBM to the switching frequency is discussed when the zero voltage switching turn-ON operation is attained. Besides, to prove the advantage of reducing the order of the dynamic model, model predictive controls (MPCs) based on EBM and LPT are developed. The transient performances of the MPC controllers are simulated and the control inputs are applied to an experimental setup. Finally, experiments are conducted to verify the accuracy of the proposed EBM under zero and nonzero conditions and the effectiveness of the developed MPC controller. Index Terms-Electric vehicles (EVs), inductive power transfer (IPT), model predictive control (MPC), reduced-order dynamic model, resonant circuits. I. INTRODUCTION T HE inductive power transfer (IPT) technology is under rapid development for dynamic charging of electric vehicles (EVs) [1]-[6]. In dynamic IPT (DIPT) systems, several Manuscript

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Section: A Energy Of An Lc Resonant Tankmentioning

confidence: 99%

Section: B Energy Balancing Model For An Lc Resonant Tankmentioning

confidence: 99%

Section: Energy Balancing Model For Two Coupled Lc Resonant Tanksmentioning

confidence: 99%

Section: Energy Balancing Model For Two Coupled Lc Resonant Tanksmentioning

confidence: 99%

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Continuous Reduced-Order Dynamic Model Based on Energy Balancing for Inductive Power Transfer Systems

Shi

Dong

Soeiro

et al. 2022

IEEE Trans. Power Electron.

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“…It must be noted that the following method also applies if there are more degrees of freedom in the coils' structure or geometry. Additionally, this approach could be also included in a coils' design based on the multi-objective optimization such as [15], [16] and [18]. In those cases, the spectrum of possible solutions would be wider.…”

Section: B Coils Design Through Fem Analysismentioning

confidence: 99%

Design Trade-Offs Between the Coupled Coils’ Inductance and the Series-Series Compensation Capacitance for EV Wireless Charging Systems

Grazian

Soeiro

Bauer

2022

2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)

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Nowadays, inductive power transfer (IPT) with magnetic resonance is the most used method for high-power wireless battery charging applications. Once the topology of the compensation network and the operating frequency are selected, there are infinite combinations of the circuit equivalent inductance and compensation capacitance values resonating at that frequency. Choosing an appropriate ratio between these passive devices is essential to meet the target output power while ensuring that the required DC input and output voltages are found within the permitted range limited by the power source and the battery load. This paper proposes design trade-offs for selecting the optimum ratio between the inductance and capacitance in IPT systems with series-series compensation applicable to any power level. First, the target mutual inductance must be computed. Based on that, the coupled coils are designed depending on the physical constraints. An example is provided considering a 3.7 kW wireless charging system for electric vehicles (EVs) where different coils' combinations are analyzed through the finite element method. The most suitable design is implemented, achieving or the application a relatively high measured peak DCto-DC efficiency of about 96.24% at 3.28kW while the coils are aligned with 11cm distance. The required power is delivered at different battery voltages and coils' alignments by regulating the DC input voltage.

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Optimization in Magnetic Coupler Design for Inductively Coupled Wireless Charging of Electric Vehicle: A Review

Chakibanda,

Komanapalli

2023

Arab J Sci Eng

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Design of a Highly Efficient 20-kW Inductive Power Transfer System With Improved Misalignment Performance

Cited by 28 publications

References 53 publications

Continuous Reduced-Order Dynamic Model Based on Energy Balancing for Inductive Power Transfer Systems

Continuous Reduced-Order Dynamic Model Based on Energy Balancing for Inductive Power Transfer Systems

Design Trade-Offs Between the Coupled Coils’ Inductance and the Series-Series Compensation Capacitance for EV Wireless Charging Systems

Optimization in Magnetic Coupler Design for Inductively Coupled Wireless Charging of Electric Vehicle: A Review

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