Salp swarm algorithm based optimal speed control for electric vehicles

Potnuru, Devendra; Ayyarao, Tummala Siva Lova Venkata; Kumar, Lokender; Kumar, Y. V. Pavan; Pradeep, Darsy John; Reddy, Challa Pradeep

doi:10.11591/ijpeds.v13.i2.pp755-763

Cited by 10 publications

(3 citation statements)

References 16 publications

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“…Since BLDC motors lack brushes, they are substantially more resistant to wear and tear than brushed motors. They become more dependable as a result, and they live longer [30].…”

Section: Brushless DC Motor Drive Characteristicsmentioning

confidence: 99%

Hybrid quadratic DC-DC boost converter for fuel cell-powered electric vehicle with wide voltage gain and low voltage stress

Dinakaran,

Jebaselvi

2023

IJPEDS

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The need to cut carbon emissions and the worry about global warming will be two of the major issues of the twenty-first century. Globally, academics are researching renewable energy sources, with the majority of their efforts focused on the converter side, which is critical to contemporary society. For energy conversion, fuel cells provide an alternative to internal combustion engines. Despite the fact that typical DC-to-DC converters experience high stress and minimal voltage rise, the bulk of research focuses on voltage lift. Researchers from all around the globe use DC-DC converters to control the voltage of fuel cells. If the targets are fulfilled, more switches will be placed, resulting in higher losses. The boost-cuk converter in this research has a high voltage gain and low switching strain. Initially, this contributed to the development of self-control. Switching losses are reduced when just one switch is used. A DC-DC converter is employed in this research to transform the electricity provided by fuel cells. The alternating supply is then sent to the brushless direct current (BLDC) motor by the PWM inverter. The work starts by building MATLAB simulation blocks. Finally, Simulink is used to display the simulated output waveforms of the intended converter.

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“…Since BLDC motors lack brushes, they are substantially more resistant to wear and tear than brushed motors. They become more dependable as a result, and they live longer [30].…”

Section: Brushless DC Motor Drive Characteristicsmentioning

confidence: 99%

Hybrid quadratic DC-DC boost converter for fuel cell-powered electric vehicle with wide voltage gain and low voltage stress

Dinakaran,

Jebaselvi

2023

IJPEDS

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“…Vehicular technology has improved and enhanced remarkably from the era of the early centuries to the modern day [1,2]. The evolution of advanced technology led to the inclusion of many new features in the process of transportation [3,4]. This is due to the shift towards decarbonization with the addition of variants such as renewable energy integration (REI) [5,6], vehicle-to-grid (V2G) technology systems [7,8], etc.…”

Section: Introductionmentioning

confidence: 99%

Critical Performance Analysis of Four-Wheel Drive Hybrid Electric Vehicles Subjected to Dynamic Operating Conditions

Pradeep

Kumar

Siddharth

et al. 2023

WEVJ

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Hybrid electric vehicle technology (HEVT) is emerging as a reliable alternative to reduce the constraints of battery-only driven pure electric vehicles (EVs). HVET utilizes an electric motor as well as an internal combustion engine for its operation. These components would work on battery power and fossil fuels, respectively, as a source of energy for vehicle mobility. The power is delivered either from battery or fuel or both sources based on user requirements, road conditions, etc. HEVT uses three major propelling systems, namely, front-wheel drive (FWD), rear-wheel drive (RWD), and four-wheel drive (4WD). In these propelling systems, the 4WD model provides torque to all four wheels at the same time. It uses all four wheels to propel thereby offering better driving capability, better traction, and a strong grip on the surface. The 4WD-based HEVs comprise four architectures, namely, series, parallel, series-parallel, and complex. The literature focuses primarily on any one type of architecture for analysis in the context of component optimization, fuel reduction, and energy management. However, a focus on dynamic analysis that gives a real performance insight was not conducted, which is the main motivation for this paper. The proposed work provides an extensive critical performance analysis of all four 4WD architectures subjected to various dynamic operating conditions (continuous, pulse, and step-up accelerations). Under these conditions, various performance parameters such as speed (of vehicle, engine, and motor), power (of engine and battery), battery electrical losses, charge patterns, and fuel consumption are measured and compared. Further, the 4WD architecture performance is validated with FWD and RWD architectures. From MATLAB/Simulink-based evaluation, 4WD HEV architectures have shown superior performance in most of the cases when compared to FWD type and RWD type HEVs. Moreover, 4WD parallel HEV architecture has shown superior performance compared to 4WD series, 4WD series-parallel, and 4WD complex architectures.

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“…There are several disadvantages of fuzzy ttype 1 in learning and updating the SNPID weights such as the poor performance through the system uncertainty and parameters variation [33]- [36]. So, to avoid these disadvantages the fuzzy type 2 will be applied instead of fuzzy type 1 as in the following section [37]- [42].…”

mentioning

confidence: 99%

Fuzzy type two self-tuning technique of single neuron PID controller for brushless DC motor based on a COVID-19 optimization

Ghany

Shamseldin

2023

IJPEDS

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<span lang="EN-US">This paper presents an efficient interval type 2 fuzzy (IT2F) based on a single neuron proportional–integral–derivative (PID), also known as IT2FSNPID controller. The main purpose of the proposed control technique is to track the motion profile of the brushless DC (BLDC) motor. Also, a comparative study was investigated fuzzy type 1 (FT1) and IT2F. IT2F can treat the uncertainty and nonlinearity of the BLDC motor drive electric system in contrast to FT1. The parameters of each control technique were obtained using a new COVID-19 optimization algorithm according to an objective function. Moreover, several tests had been performed to ensure the ability of fuzzy type to absorb the system uncertainty and nonlinearity. All controllers were utilized to operate the BLDC motor sudden change in load and continuous load. The simulation results show that the IT2FSNPID can improve the dynamic response of linear and nonlinear of the same BLDC motor and accommodate the system uncertainty significantly.</span>

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Salp swarm algorithm based optimal speed control for electric vehicles

Cited by 10 publications

References 16 publications

Hybrid quadratic DC-DC boost converter for fuel cell-powered electric vehicle with wide voltage gain and low voltage stress

Hybrid quadratic DC-DC boost converter for fuel cell-powered electric vehicle with wide voltage gain and low voltage stress

Critical Performance Analysis of Four-Wheel Drive Hybrid Electric Vehicles Subjected to Dynamic Operating Conditions

Fuzzy type two self-tuning technique of single neuron PID controller for brushless DC motor based on a COVID-19 optimization

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