Design of a Wireless Charging System for Online Battery Spectroscopy

Locorotondo, Edoardo; Corti, Fabio; Pugi, Luca; Berzi, Lorenzo; Reatti, Alberto; Lutzemberger, Giovanni

doi:10.3390/en14010218

Cited by 35 publications

(17 citation statements)

References 38 publications

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“…Figure 11b plots the difference between the theoretical model and the experimental results, and it confirms a good matching up to 30 kHz. Compared with other results shown in the literature [1,5,11,12], the noise in the frequency response is considerably low. Notice that the results in Figure 11a,b skip the smoothing process.…”

Section: Validation Of the Implemented Identification Systemcontrasting

confidence: 67%

“…These devices allow for an implementation not only of a conventional linear regulator to control the voltage or the current but also to incorporate advanced features that can improve the performance of the converters [ 1 , 2 ], like protections, communication [ 3 ], integration on large systems, or identification techniques. The use of identification techniques to measure the frequency response of the converter [ 4 ] can be applied for different purposes such as checking the stability of the system [ 5 , 6 ], adapting the regulator to different situations [ 7 , 8 , 9 ] or monitoring the health status of the converter or load [ 4 , 9 , 10 , 11 , 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

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Nonparametric Frequency Response Identification for Dc-Dc Converters Based on Spectral Analysis with Automatic Determination of the Perturbation Amplitude

Granda

Fernández

Barrado

et al. 2021

Sensors

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Digital control for high switching frequency converter enables new features on DC-DC power conversion for a minimum cost. Frequency response identification is one such enabled functionality used in auto tunning, measurement of components to assess the converter’s state of health, or system stability monitoring. High accuracy, flexibility to operate in open or closed loop, and minimum impact in the converter’s regular operation are the frequency response identification system’s goals. We propose in this paper a nonparametric identification system addressing these main goals. First, it can autoadjust the perturbation size to reduce the perturbation’s impact on the converter’s output quantities. Second, as it is based on spectral analysis, it is suitable for open and closed-loop operation. Third, we demonstrate the identification system’s high accuracy, achieving a very low difference between the experimental measurements and the discrete model used as reference.

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Section: Validation Of the Implemented Identification Systemcontrasting

confidence: 67%

Section: Introductionmentioning

confidence: 99%

Nonparametric Frequency Response Identification for Dc-Dc Converters Based on Spectral Analysis with Automatic Determination of the Perturbation Amplitude

Granda

Fernández

Barrado

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…In addition, by using a Li-ion battery [5], researchers are focused on the storage management of plug-in (PEV) hybrid vehicles. In [51], a novel technology of EV wireless charging, which facilitates the on-move charging, can represent another important storage system, given the high number of EVs.…”

Section: Battery Energy Storage Unit (Besu)mentioning

confidence: 99%

Comprehensive Survey of Various Energy Storage Technology Used in Hybrid Energy

et al. 2021

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Various power generation technologies, such as wind turbines and solar power plants, have been increasingly installed in renewable energy projects as a result of rising demand and ongoing efforts by global researchers to mitigate environmental effects. The sole source of energy for such generation is nature. The incorporation of the green unit into the power grid also results in volatility. The stabilization of frequencies is critical and depends on the balance of supply and demand. An efficient monitoring scheme called Load Frequency Monitoring (LFM) is introduced to reduce the frequency deviation from its natural state. Specific energy storage systems may be considered to improve the efficiency of the control system. The storage system contributes to the load rate, peak rushing, black start support, etc., in addition to high energy and rapid responsive features. A detailed study of different power storage systems, their current business scenario, and the application of LFM facilities, as well as their analysis and disturbance, is presented in this paper. According to the literature analysis, the current approaches can be divided into two categories: grid and load scale structures. This article also distinguishes between the organized aggregate system and the uncoordinated system control scheme, both of which have advantages and disadvantages in terms of technology.

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“…However, EIS takes a long time and needs specific instruments, limiting its application for on-board measurement. A design for an electric circuit that can perform battery state diagnosis and also provide charging is presented by Locorotondo et al 67 where EIS is applied in the control of the wireless charging system. In the model-based method, the internal resistance and battery capacity are parameters which vary with time based on the electrochemical and battery equivalent circuit model.…”

Section: Electric Vehicle Subsystemsmentioning

confidence: 99%

A review on powertrain subsystems and charging technology in battery electric vehicles: Current and future trends

Wagh

Dhatrak

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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The transport industry is a major contributor to both local pollution and greenhouse gas emissions (GHGs). The key challenge today is to mitigate the adverse impacts on the environment caused by road transportation. The volatile market prices and diminishing supplies of fuel have led to an unprecedented interest in battery electric vehicles (BEVs). In addition, improvements in motor efficiencies and significant advances in battery technology have made it easier for BEVs to compete with internal combustion engine (ICE) vehicles. This paper describes and assesses the latest technologies in different elements of the BEV: powertrain architectures, propulsion and regeneration systems, energy storage systems and charging techniques. The current and future trends of these technologies have been reviewed in detail. Finally, the key issue of electric vehicle component recycling (battery, motor and power electronics) has been discussed. Global emission regulations are pushing the industry towards zero or ultra-low emission vehicles. Thus, by 2025, most cars must have a considerable level of powertrain electrification. As the market share of electric vehicles increases, clear trends have emerged in the development of powertrain systems. However, some significant barriers must be overcome before appreciable market penetration can be achieved. The objective of the current study is to review and provide a complete picture of the current BEV technology and a framework to assist future research in the sector.

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Design of a Wireless Charging System for Online Battery Spectroscopy

Cited by 35 publications

References 38 publications

Nonparametric Frequency Response Identification for Dc-Dc Converters Based on Spectral Analysis with Automatic Determination of the Perturbation Amplitude

Nonparametric Frequency Response Identification for Dc-Dc Converters Based on Spectral Analysis with Automatic Determination of the Perturbation Amplitude

Comprehensive Survey of Various Energy Storage Technology Used in Hybrid Energy

A review on powertrain subsystems and charging technology in battery electric vehicles: Current and future trends

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