A Family of Dual-Boost Bridgeless Five-Level Rectifiers With Common-Core Inductors

Ma, Hui; Zheng, Kaitong; Jiang, Hao; Yin, Hongpeng

doi:10.1109/tpel.2021.3078533

Cited by 44 publications

(17 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Further, Equation (20) represents the efficiency of the equalizer can be derived when the number of overcharged cells in the battery pack is i.…”

Section: The Evaluation Methodsmentioning

confidence: 99%

“…A series of dual-boost converter are proposed to increase the power density which provides a potential solution to the complex topology for battery equalization. 20 Whereas the above methods are normally focused on the specific condition, the systematic evaluations of the performance are probably not sufficient. Hence, the main contribution of this paper includes the following aspects.…”

Section: Introductionmentioning

confidence: 99%

“…But the topology is relatively complex, and every battery is equipped with five switches even though the control logic is simple and clear. A series of dual‐boost converter are proposed to increase the power density which provides a potential solution to the complex topology for battery equalization 20 …”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The control and evaluation method of the cascaded buck–boost converter for equalization on battery strings

Chen

Wang

Huang

et al. 2022

Circuit Theory & Apps

View full text Add to dashboard Cite

With the further implementation of the carbon peak carbon neutral strategy, new energy vehicles will play an important cornerstone in the realization of this policy. However, the power source lithium battery pack has reduced the charge and discharge capacity due to the variation in the energy of the single cells, which largely limits the wide application of new energy vehicles. A cascaded buck–boost converter is proposed to balance the inconsistent energy in the battery pack. This equalization circuit is equipped with two fundamental working modes on which a matrix equalization strategy is developed and optimized accordingly. Then, the systematic evaluation method on average efficiency and time is applied to investigate the performance of the converter. Subsequently, the proposed converter and its control method have shown better performance than the existing equalization circuit via simulation and experimental verification. The design has high scalability and is expected to be applied to large‐scale energy storage systems to serve the construction of the global energy Internet.

show abstract

“…Further, Equation (20) represents the efficiency of the equalizer can be derived when the number of overcharged cells in the battery pack is i.…”

Section: The Evaluation Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The control and evaluation method of the cascaded buck–boost converter for equalization on battery strings

Chen

Wang

Huang

et al. 2022

Circuit Theory & Apps

View full text Add to dashboard Cite

show abstract

“…When choosing the sampling value, first add a redundant signal at the beginning and end of the signal. Assuming that 10 current sampling values are selected for a time–frequency analysis each time, the numbers on the sides of the boxes in Figure 9 represent the acquisition sequence [29]. Assuming that the first signal selection box is selected from 1 to 10 for analysis, the first and last signals are discarded to extract features for the middle eight signals, and the second box goes from 9 to 18.…”

Section: Extraction Of Series Arc Fault Featuresmentioning

confidence: 99%

A particle swarm optimization‐based support vector machine model to detect charging pile arc faults by using the pre‐treatment generalized S transform

Deng

Zeng

Huang

et al. 2022

The Journal of Engineering

View full text Add to dashboard Cite

An arc fault is the most common cause of charging pile fire. The series arc fault current is usually lower than the short‐circuit fault current and is challenging to detect, resulting in the inaction of the circuit breaker. Therefore, a method for detecting series arc faults of charging piles based on generalized Stockwell transform (GST) is proposed in this paper. First, an real time digital simulation system (RTDS)‐based charging pile arc experimental platform is constructed, and the point contact and the carbonization path arc fault current are measured. Then, the fault information is extracted using GST, and the 250‐Hz component is selected as the arc fault identification feature. On this basis, an improved sampling point selection method is proposed. Finally, multiple feature quantities are constructed as feature vectors, and the trained particle swarm optimization _support vector machine (PSO_SVM) is used for arc fault detection. The experimental results show that the accuracy rate reaches 98.75%; thus, the scheme proposed by this paper could detect the series arc fault current accurately and avoid the incorrect action of the circuit breaker.

show abstract

“…At the same time, distributed generation (DG) investors, power consumers participating in demand side response (DSR), and distributed energy storage (DES) investors, in the role of independent entities, started to participate in the investment and operation of the distribution network. The diversification of investors has become one of the most significant characteristics of China's incremental distribution network (Ma and Wang, 2017;Liu et al, 2020;Shen and Raksincharoensak, 2021a;Ma et al, 2021). Additionally, more uncertainties have been injected into it.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Agent Game-Based Incremental Distribution Network Source–Load–Storage Collaborative Planning Method Considering Uncertainties

Yang

Dong

et al. 2022

Front. Energy Res.

View full text Add to dashboard Cite

How to obtain the optimal decision-making scheme based on the investment behavior of various stakeholders is an important issue that needs to be solved urgently in incremental distribution network planning. To this end, this article introduces the virtual player “Nature” to realize the combination of the game theory and robust optimization and proposes an incremental distribution network source–load–storage collaborate planning method with a multi-agent game. First, the planning and decision-making models of a DG investment operator, a distribution network (DN) company, power consumers, and a distributed energy storage (DES) investment operator are constructed, respectively. Then the static game behaviors between the DG investment operator and distribution network company, as well as the DG investment operator and the DES investment operator, are analyzed based on the transfer relations between these four participants. At the same time, robust optimization is used to deal with the uncertainty of the DG output, and the virtual player “Nature” is introduced to study the dynamic game behavior between the DG investment operator and the distribution company. Finally, a dynamic–static joint game planning model is proposed. The simulation results verify the correctness and effectiveness of the proposed method.

show abstract

A Family of Dual-Boost Bridgeless Five-Level Rectifiers With Common-Core Inductors

Cited by 44 publications

References 25 publications

The control and evaluation method of the cascaded buck–boost converter for equalization on battery strings

The control and evaluation method of the cascaded buck–boost converter for equalization on battery strings

A particle swarm optimization‐based support vector machine model to detect charging pile arc faults by using the pre‐treatment generalized S transform

A Multi-Agent Game-Based Incremental Distribution Network Source–Load–Storage Collaborative Planning Method Considering Uncertainties

Contact Info

Product

Resources

About