Power Generation Using Sound by Piezo Electric Material

Chaithanya, D J; Anitha, S.; Ramya, B; Aisiri, A. P.

doi:10.1088/1742-6596/1916/1/012003

Cited by 6 publications

(6 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The "A" level microphone is used as a basic sound measuring instrument as shown in figure 2' around the vehicle cluster where the Motor is placed. The fast Fourier frequency spectrum is typically employed for the analysis of noise wavelengths in BLDC motors [21]. Noise signature analysis precisely identifies the sources of noise, including airflow, the motor itself, and the surrounding environment.…”

Section: Sound Fields In Vehicle Environmentmentioning

confidence: 99%

Simulation-based study of noise, vibration, and harness of BLDC motor for energy level variation with frequency

Kardile,

Pathan

2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

The energy spectrum measurements in noise, vibration, and harness analysis with power spectrum response is a very ancient concept. The work and energy approaches for analyzing Noise, Vibration, and Harmonics (NVH) features are increasing rapidly in recent years. The primary focus is on evaluating imparted energy due to the NVH using an FFT spectrum against the input energy in motors. The simulation depicts the input energy spectra of the kinetic energy, absorbed energy, and dissipated energy very clearly. Earlier the smoothed Fourier amplitude spectrum approach was used for plotting the energy dissipation due to the NVH effect. However, most of the part of accountable energy goes to waste with noise, vibration, and harmonics generated due to harness in motor design. This experiment is conducted in support of Sir Nikola Tesla’s statement “If you wish to understand the universe think in terms of energy, frequency, and vibration”. The ripples an induced in phase current because of the step change of the speed. The predominant frequency in phase current waveform creates the collapsing vibratory waves that create the sound. Sound frequencies above 20 dB are considered unwanted sound known as noise. The energy level variation with NVH influence in BLDCM is measurable for its performance analysis. This research can be further enhanced by designing NVH-free BLDC motors.

show abstract

Section: Sound Fields In Vehicle Environmentmentioning

confidence: 99%

Simulation-based study of noise, vibration, and harness of BLDC motor for energy level variation with frequency

Kardile,

Pathan

2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

“…SWIPT has the potential to revolutionize various fields, such as WSNs, Internet of Things (IoT) devices, and even mobile communications 15 . The ability to convert ambient sound energy into usable electrical power has opened innovative avenues for sustainable energy harvesting 16 . The basic principle of acoustic energy harvesting involves using transducers or devices that can convert mechanical vibrations induced by sound waves into electrical energy 17 .…”

Section: Introductionmentioning

confidence: 99%

“…15 The ability to convert ambient sound energy into usable electrical power has opened innovative avenues for sustainable energy harvesting. 16 The basic principle of acoustic energy harvesting involves using transducers or devices that can convert mechanical vibrations induced by sound waves into electrical energy. 17 These transducers often use piezoelectric materials, which generate electric voltage when subjected to mechanical stress.…”

Section: Introductionmentioning

confidence: 99%

A hybrid energy harvesting framework and graphene‐based supercapacitor for 6G and smart grid networks

Narayanan,

Govindasamy

2023

Int J Communication

View full text Add to dashboard Cite

SummaryThis paper proposes a novel hybrid energy harvesting framework integrated with a graphene‐based supercapacitor to address the energy demands of 6G communication systems and smart grid networks. To ensure consistent power generation, the proposed framework combines diverse energy harvesting mechanisms, including acoustic, vibration, and radio frequency (RF) energy sources. These harvested energies are then efficiently managed and stored in a proposed graphene‐based supercapacitor compared with existing Li‐ion batteries, due to its high energy density and rapid charge‐discharge capabilities. Smart grids and 6G networks can utilize the energy that hybrid systems harvest. This paper examines the analysis of RF energy extracted from various antenna configurations. In the acoustic energy harvesting system, energy extraction has been achieved by subjecting it to acoustic pressure and impedance. Notably, the inclusion of acoustic impedance has resulted in a greater amount of harvested energy. The vibration energy harvesting analysis with angular frequencies under various force conditions is employed. The magnitude of force applied to the harvesting system significantly influences the efficiency of the harvested energy. The three‐dimensional structure and voltage levels of the graphene‐based supercapacitor have been examined for various electrodes. For maximizing the harvested hybrid energy, convex optimization is formulated due to its ability to efficiently navigate complex design spaces while ensuring reliable and globally optimal solutions. CVX tool in MATLAB is used for validation. The results improve the energy harvesting efficiency and enhance the power availability of all the harvesting sources. Furthermore, the compatibility of the proposed framework with existing network infrastructure highlights its potential for seamless integration into real‐world communication and energy distribution systems.

show abstract

“…All of the following parameters: current frequency (Hz), RMS current (A), and threshold (%) are compared on the MATLAB/Simulink platform for signal analysis [23]. MATLAB/Simulink is employed to simulate and evaluate the overall energy contribution of noise in energy dissipation in BLDC motors marked as okay [24][25][26]. Readings are typically collected at the stable speed state of the BLDC motor, where the noise-embedded frequency is higher [27].…”

Section: Introductionmentioning

confidence: 99%

“…Virlan Bogdan et al, (2021) developed special software for increasing motor speed at low resistance torque, employing 24 stator slots and 22 rotor permanent magnets [25]. Zhaoyang Fu et al, (2021) investigated fault signal diagnosis methods for dual redundancy BLDCM winding fault analysis [26]. Chaithanya D et al, (2021) demonstrated the conversion of sound, a non-continuous form of energy, into electrical energy using piezoelectric material [26].…”

Section: Introductionmentioning

confidence: 99%

Simulation of Energy Dissipation in BLDC Motor and Analysis of Speed-Acoustic Characteristics

Kardile Balasaheb Annasaheb,

Khizar Ahmed Pathan,

Abhijeet Bhikashet Auti

et al. 2023

ARAM

View full text Add to dashboard Cite

The hybrid electric vehicle combines dual propulsion systems: one employs the traditional internal combustion engine, while the other utilizes a PMDC or BLDC motor. Generally, BLDC motors exhibit an efficiency of 85% to 90%. Conversely, the PMDC motor inherently achieves an efficiency of 88% under optimal running conditions. Moreover, improving the efficiency of both motors is impeded by their design constraints. Power losses in these motors primarily stem from factors such as heat generation in the rotor (I²R losses), bearing friction, vibrations, and noise. This paper aims to investigate energy loss in a 4 kW BLDC motor manufactured by Bosch, attributable to speed-induced acoustic noise effects. Harmonic analysis of the phase current reveals the presence of odd-order harmonics, specifically those below the 11th order, resulting in current ripples. These dominant harmonic frequencies interact, ultimately generating noise and consuming a certain amount of power. These predominant frequencies correlate with fundamental electrical parameters: current frequency (Hz), RMS current (A), and threshold (%r), all associated with the motor's input power source. The 'K' factor, a parameter dependent on these three electrical factors, is calculated to determine harmonic stability. Variations in stable speeds (ranging from 1280 to 7500 RPM) are used to record 'K' factor readings. Based on IEEE Standard 85-1980 guidelines, motors are classified as either acceptable (OK) or not acceptable (not OK) according to their harmonic stability 'K' factor. Readings for each speed step are captured at a specific predominant frequency, facilitating subsequent comparisons. To validate the experimental findings, MATLAB/Simulink and a Fluke scope meter are employed to conduct power analyses for each motor, thus assessing energy loss attributed to noise. The waveform of the phase current proves instrumental in quantifying energy consumption in the BLDC motor. Notably, higher-frequency noise waves with shorter wavelengths entail greater energy consumption. Evaluating energy loss significantly contributes to the analysis of BLDC motor speed acoustics, serving to inform the design of energy-efficient hybrid electric vehicle models powered by BLDC motors, which are intended for customer service.

show abstract

Power Generation Using Sound by Piezo Electric Material

Cited by 6 publications

References 2 publications

Simulation-based study of noise, vibration, and harness of BLDC motor for energy level variation with frequency

Simulation-based study of noise, vibration, and harness of BLDC motor for energy level variation with frequency

A hybrid energy harvesting framework and graphene‐based supercapacitor for 6G and smart grid networks

Simulation of Energy Dissipation in BLDC Motor and Analysis of Speed-Acoustic Characteristics

Contact Info

Product

Resources

About