Comprehensive Study on Reduced DC Source Count: Multilevel Inverters and Its Design Topologies

Eswar, Kommoju Naga Durga Veera Sai; Doss, M. Arun Noyal; Vishnuram, Pradeep; Selim, Ali; Bajaj, Mohit; Kotb, Hossam; Kamel, Salah

doi:10.3390/en16010018

Cited by 13 publications

(6 citation statements)

References 114 publications

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“…𝑅 𝐼 (𝑡 + 1) = (𝑅 𝐼 + 1) × (𝑓 𝑛 ≥ 𝑓 𝑝 ) + 𝑅 𝐼 × (𝑓 𝑛 < 𝑓 𝑝 ) (13) This formula can be used to determine the new weight in respect to the rank.…”

Section: ) Updating Rank and Weightmentioning

confidence: 99%

“…As a result, additional switches are used in the conduction path, the efficiency drops. The study domain was guided by the research difficulties to design novel topologies with improved THD, lower switching loss, lower conduction loss, and lower voltage stress on devices, even at the expense of fewer devices and sources [13].One potential solution involve adjusting the current topology or creating new topologies with fewer devices by using the new structure in high, low, or hybrid frequency symmetric, asymmetric, and hybrid modes of operation [14]. Since the input voltage is often a steady DC voltage, the PWM approach is appropriate for DC-AC conversion.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Multilevel Inverter for Renewable Energy Applications with Optimized Controller and Reduced Switches

B. Thejasvi

2024

jes

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Multilevel converters have the capability of handling high power as well as deliver output with reduced harmonics. So they can be implemented with renewable energy sources to produce multilayer output with symmetric cascade arrangement with reduced switches. Here the control technique is developed in such a way to reduce the harmonics in the grid integrated PV system. The paper proposes optimized Fractional Order Proportional Integral Derivative (FOPID) controller for a seven level reduced switch multilevel inverter. The War Strategy Optimization Algorithm (WSOA) which utilizes optimizing the strategic movements of armed forces (assault and defend) towards the final optimal value is used to optimize the FOPID controller. This WSOA algorithm is used to adjust the gain parameters of the FOPID controller there by improving the system performance. The characteristics of grid connected PV system are regulated by implementing this suggested technique. The projected approach is incorporated using MATLAB / Simulink and the performances are evaluated and compared with the conventional techniques like GA – PID and WSOA – PID controllers.

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Section: ) Updating Rank and Weightmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Multilevel Inverter for Renewable Energy Applications with Optimized Controller and Reduced Switches

B. Thejasvi

2024

jes

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“…Thermal management is responsible for regulating the temperature of the battery. The charging/discharging controller is responsible for improving the power factor by controlling the phase difference between voltage, and current [15].…”

Section: State Managementmentioning

confidence: 99%

Machine learning driven digital twin model of Li-ion batteries in electric vehicles: a review

Kaleem

2023

AI and Autonomous Systems

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Electric Vehicles (EVs) have transformed the automotive industry and are becoming a more reliable and consistent mode of public transportation. The development of a pollutionfree environment and improved ecological surroundings is being significantly assisted by battery-powered vehicles. Lithium-ion (Li-ion) batteries are the most widely used type of batteries in EVs because of their superior performance as compared to their counterparts. The core of EVs is their battery management systems (BMS), which can unarguably improve a battery's performance, operation, safety, and lifespan. Li-ion battery state estimation is one of the most important parts of the implementation of BMS, as it serves an important role in safe and reliable battery operation. Recently, researchers are working on the development of digital twin models to automate and optimize the BMS state estimation process by utilizing machine learning (ML) algorithms and cloud computing. The objective of this study is to review, characterize, and compare various ML-based approaches for the state estimation of different Li-ion battery states. Firstly, this study describes and characterizes several Li-ion battery state estimation approaches proposed in recent years. Secondly, the battery state estimation of electric vehicles is discussed. In addition, the challenges and prospects of Li-ion battery state estimation are put forward.

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“…Passive component count is increased to three times the total number of outputs. Various modular multilevel converters discussed in other papers [26][27][28][29] utilize different controllers based on the necessities which are suitable for high-power applications. Inductor current ripple minimization for triple output converter by gate pulse shifting technique is discussed in Nupur and Nath.…”

Section: Introductionmentioning

confidence: 99%

Coupled inductor‐based triple output bi‐polar converter with duty cycle estimation

Karuppusamy,

Somalinga,

Kumaraswami

2023

Circuit Theory & Apps

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SummaryMulti‐output converters have been accepted in many portable and display applications due to their ability to optimize hardware both in terms of number of switches as well as on the inductances. Many of these applications require the input voltage to be both stepped up and stepped down, and some applications also require negative outputs. This paper proposes a non‐isolated converter topology which can generate positive buck and boost outputs and also a negative output using a coupled inductor. The converter can operate in continuous and discontinuous conduction modes (DCMs). A detailed analysis of the converter is done in both modes, and it is shown that the outputs can be controlled by direct real‐time analytical estimation of the duty cycle in DCM. Coupled inductor enables the possibility that more than one output can be simultaneously supplied, reducing the cycle time and increasing throughput. Independent control of all three outputs confirms that cross‐regulation is avoided due to real‐time continuous estimation of the duty cycles. The proposed converter is verified by building a hardware model for multi‐output voltages of 5, 24, and −5 V with an input voltage of 12 V using a Spartan‐6 FPGA controller. Experimental results validate that 94% converter efficiency and regulated output voltages under full load conditions. Steady state and dynamic performance of the converter illustrate the effect of suggested control technique to alleviate cross‐regulation in multi‐output converters.

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Comprehensive Study on Reduced DC Source Count: Multilevel Inverters and Its Design Topologies

Cited by 13 publications

References 114 publications

A Novel Multilevel Inverter for Renewable Energy Applications with Optimized Controller and Reduced Switches

A Novel Multilevel Inverter for Renewable Energy Applications with Optimized Controller and Reduced Switches

Machine learning driven digital twin model of Li-ion batteries in electric vehicles: a review

Coupled inductor‐based triple output bi‐polar converter with duty cycle estimation

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