Wireless Battery Charging Circuit Using Load Estimation without Wireless Communication

Lee, Sang‐Won; Choi, Yoon-Geol; Kim, Jung-Ha; Kang, Bongkoo

doi:10.3390/en12234489

Cited by 4 publications

(4 citation statements)

References 19 publications

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“…The equivalent circuit can be simplified as in [ 15 , 26 ], as shown in Figure 2 . The inverter circuit can be reduced to a sinusoidal voltage source (1) and the rectifier circuit, in combination with the load, provides an equivalent load impedance (2).…”

Section: Lc–lc Wpt Circuit Analysismentioning

confidence: 99%

Predicting Receiver Characteristics without Sensors in an LC–LC Tuned Wireless Power Transfer System Using Machine Learning

Kim,

Niada,

Park

2024

Sensors

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Improvement of wireless power transfer (WPT) systems is necessary to tackle issues of power transfer efficiency, high costs due to sensor and communication requirements between the transmitter (Tx) and receiver (Rx), and maintenance problems. Analytical techniques and hardware-based synchronization research for Rx-sensorless WPT may not always have been available or accurate. To address these limitations, researchers have recently employed machine learning (ML) to improve efficiency and accuracy. The objective of this work was to replace Tx–Rx communication with ML, utilizing Tx-side parameters to predict the load and coupling coefficients on an LC–LC tuned WPT system. Based on current and voltage features collected on the Tx-side for various load and coupling coefficient values, we developed two models for each load and coupling prediction. This study demonstrated that the extra trees regressor effectively predicted the characteristics of LC–LC tuned WPT systems, with coefficients of determination of 0.967 and 0.996 for load and coupling, respectively. Additionally, the mean absolute percentage errors were 0.11% and 0.017%.

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Section: Lc–lc Wpt Circuit Analysismentioning

confidence: 99%

Predicting Receiver Characteristics without Sensors in an LC–LC Tuned Wireless Power Transfer System Using Machine Learning

Kim,

Niada,

Park

2024

Sensors

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“…Energies 2023, 16, x FOR PEER REVIEW 3 of 26 [23,[25][26][27][28] and the phase-shift control inverter [29][30][31][32][33][34]. The SS control inductive wireless power transfer system was studied using the phase-shift full bridge rectifier [35] and secondary resonator [36,37].…”

Section: Varied Frequency Controlled Inductive Wireless Cc-cv Chargin...mentioning

confidence: 99%

“…The CC-CV control system for inductive wireless EV charging can be divided into three forms: (a) primary-side (PS) controller, (b) SS controller and (c) dual-side controllers. Indeed, the PS converters used the PS control inductive wireless power transfer systems [23,[25][26][27][28] and the phase-shift control inverter [29][30][31][32][33][34]. The SS control inductive wireless power transfer system was studied using the phase-shift full bridge rectifier [35] and secondary resonator [36,37].…”

Section: Introductionmentioning

confidence: 99%

Varied-Frequency CC–CV Inductive Wireless Power Transfer with Efficiency-Regulated EV Charging for an Electric Golf Cart

Thongpron,

Kamnarn,

Namin

et al. 2023

Energies

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Wireless electric vehicle (EV) charging is an important operation for valuable EV options in modern life. Inductive wireless EV charging needs constant current and voltage (CC–CV) charge controllers. This paper presents 750 W variable frequency CC–CV inductive wireless charging for an e-golf cart 50 Ah 72 V Li-ion battery. Due to this system’s low power, the system’s efficiency may be weak; the secondary-side (SS) maximum efficiency-controlled (MEC) converter was validated. The golf cart’s battery characteristics were evaluated to design and experiment with inductive wireless power transfer (IPT) coils and an integration system for a 42 kHz resonant frequency. The CC–CV charged control is an infrastructural part of the H-bridge inverter at varied frequencies from 50 kHz to 56 kHz when the DC input voltage is 310 V, and in the range of 44 kHz to 46 kHz at the 155 V input. The results found the charging of 9 A CC, 82 V CV and 730 W. The 310 V input voltage system without the SS MEC converter’s efficiencies was 62% to 72% and it was improved to 65% to 81% using the SS MEC converter. Finally, the best cases were validated at the 155 V DC input voltage and the system with the SS MEC converter had 76% to 86% efficiency.

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“…Wireless power transfer (WPT) is a burgeoning technology that can transfer power from the primary side to the secondary side without physical contact. It is considered an emerging option for the future power transmission system [1][2][3][4][5][6][7][8]. In the past few years, WPT techniques have been used to charge battery across a range in many applications, such as cell phones, wearable devices, biomedical implants and electric vehicle [7][8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

A MCR‐WPT system based on LCL‐S/P hybrid compensation network with CC/CV and maximum power optimization suiting for battery charging

Li,

Gong,

Liu

et al. 2024

IET Power Electronics

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A novel magnetic coupling resonance wireless power transfer (MCR‐WPT) system, which has constant‐current (CC) and constant‐voltage (CV) output characteristics suiting for batteries charging, is proposed in this paper. The hybrid compensation topology is adopted; in detail, the LCL‐P circuit topology is used in the CC mode, while the LCL‐S topology is used in the CV mode. Since the switchable components are only located at the receiving side of WPT, the switching can be controlled by the receiving side based on the batteries’ state without data communication between transmitting side and receiving side. Furthermore, an adjustable frequency tuning method which is based on proportion integration (PI) closed‐loop controlled by the transmitting side is applied to maximize the current of the transmitting coil. This method also can solve the frequency splitting problem, improving the stability and power of the system while the distance of the two sides changes. The performance of the proposed WPT system is verified by simulation and experiments. The experiment results show that the load current variation is less than 3% in the CC mode and the load voltage changes less than 5% in the CV mode, as the load resister changes from 5 to 20 Ω.

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Wireless Battery Charging Circuit Using Load Estimation without Wireless Communication

Cited by 4 publications

References 19 publications

Predicting Receiver Characteristics without Sensors in an LC–LC Tuned Wireless Power Transfer System Using Machine Learning

Predicting Receiver Characteristics without Sensors in an LC–LC Tuned Wireless Power Transfer System Using Machine Learning

Varied-Frequency CC–CV Inductive Wireless Power Transfer with Efficiency-Regulated EV Charging for an Electric Golf Cart

A MCR‐WPT system based on LCL‐S/P hybrid compensation network with CC/CV and maximum power optimization suiting for battery charging

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