Performance enhancement of DCMLI fed DTC-PMSM drive in electric vehicle

Shriwastava, Rakesh G.; Thakre, Mohan P.; Bhadane, Kishor V.; Harne, Mahesh S.; Wagh, Nandkumar B.

doi:10.11591/eei.v11i4.3714

Cited by 8 publications

(8 citation statements)

References 23 publications

(24 reference statements)

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“…The size of the population and acceleration factors has an impact on how the PSO is executed. The convergence of the optimal fitness value is shown in Figure 5 considering ( 22)- (26). For each sample of the solution, the optimization process was run 500 times with various population sizes to examine for variations in the outcomes.…”

Section: Pv Cell: Single Diode Model-optimization Technique 41 Partic...mentioning

confidence: 99%

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Five parameters extraction of single diode PV model by metaheuristic optimization method by identified built-up data

2023

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Precision calculation of unknown photovoltaic (PV) modules or single diode models for PV cell specifications under various environmental conditions is needed to build a sunlight-based PV framework. Installing a PV system requires knowledge of all parameters, modeling, and optimization techniques because PV system analysis and configuration help generate renewable energy. This concept requires accurate modeling and calculation of identified and unknown parameters. The single-diode model is simple and accurate for different mathematical equations. Streamlining calculations requires distinguishing this nonlinear model. The current investigation calculated five unknown parameters and compared them with particle swarm optimization (PSO) and wind-driven optimization (WDO) optimization results. The said approach utilizes MATLAB software, analytical as well as optimization methods, and manufacturing data. The suggested method is simple, fast, and accurate for calculating diode ideality factor (A), output currents (Io), series resistance (Rs), Shunt resistance (Rsh), and photocurrent (Iph).

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Section: Pv Cell: Single Diode Model-optimization Technique 41 Partic...mentioning

confidence: 99%

“…This algorithm is a recent type of global optimization methodology that is inspired by nature and based on atmospheric motion [26], [27]. This technique is also a population-based iterative heuristic global optimization algorithm.…”

Section: Wind-driven Optimization Techniquementioning

confidence: 99%

Five parameters extraction of single diode PV model by metaheuristic optimization method by identified built-up data

2023

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“…Due to this power enhancement of wind power is obtained. It also helps to increase the power quality [18], [19]. Figure 1 shows the detailed model of a supercapacitor interfaced with a DSTATCOM-based wind farm.…”

Section: Super Capacitor-based Energy Storage Model Of Wind Farm Usin...mentioning

confidence: 99%

Power quality improvement of wind energy system using energy storage model and DSTATCOM

Bhadane¹,

Thakre²,

Shriwastava³

et al. 2022

IJAPE

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Nowadays power crises in different countries are observed and the main cause of the power crisis is the huge gap between the supply and demand of electricity, renewable energy sources are identified as an alternative to overcome the power crisis gap. Renewable wind energy is the most promising energy source. Increasing the integration of wind energy into the grid causes the exploitation of power quality. Hence there is a need to deal with this issue. In this case, supercapacitors and custom power devices are introduced as smart energy storage devices in grid-connected wind energy systems for power quality enhancement features. The indirect current control scheme has interfered with custom power devices based on DSTATCOM. The optimal MATLAB-based smart energy storage model and hardware results are compared and validated. power quality improvement feature of grid-connected wind energy system using DSTATCOM is highlighted. The main aim of this study is to determine and interface the optimistic energy storage device into grid connected wind energy system. So that the stability of the wind energy system is to be maintained and also able to enhance the overall efficiency of the wind energy system.

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“…There are many challenges to manufacturers to introduce electrified solutions with their ranges, motor configuration, and converters acceptance by the customer of EVs and battery electric vehicles that are not  ISSN: 2302-9285 hybridized with ICEs. The researchers discuss the various electrical drives, such as SRM, BLDC, PMSM, and induction motor drives, as well as their limitations and proposed configurations with performance analysis for EV applications [11]- [14]. Compares the investigative uses of over-modulation techniques in modular multilevel cascaded converters for harmonic elimination in three-phase two-level voltage source inverters [15], [16].…”

Section: Introductionmentioning

confidence: 99%

Pulse charging based intelligent battery management system for electric vehicle

Kadlag

Tapre²,

Mapari

et al. 2023

Bulletin EEI

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Electric vehicles (EVs) are now an important part of the automotive industry for two main reasons: decreased reliance on oil and reduced air pollution, which helps us contribute to the development of an environmentally friendly environment. EV buyers examine overall vehicle mileage, recharge time, vehicle mileage after every charge, batteries charging/discharging security, lifespan, charged rate, capability, and temperature increase. A new improved pulse charging technique is proposed, in which the battery is charged using proportional integral derivative (PID) control action and a neural network. A PID controller is used to develop the charging unit in this design. The feed forward neural network was used to determine the values of the PID control parameters. The battery management system (BMS) ensures that this designed battery charging system takes less time to charge the battery efficiently. The system is built with MATLAB/Simulink.

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Performance enhancement of DCMLI fed DTC-PMSM drive in electric vehicle

Cited by 8 publications

References 23 publications

Five parameters extraction of single diode PV model by metaheuristic optimization method by identified built-up data

Five parameters extraction of single diode PV model by metaheuristic optimization method by identified built-up data

Power quality improvement of wind energy system using energy storage model and DSTATCOM

Pulse charging based intelligent battery management system for electric vehicle

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