Numerical investigation of a thermoelectric generator system with embedded sickle-shaped fins

Quan, Rui; Wang, Junhui; Liang, Wenlong; Li, Xuerong; Chang, Yufang

doi:10.1016/j.applthermaleng.2023.121741

Cited by 14 publications

(3 citation statements)

References 49 publications

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“…The flowchart (refer Fig. 7 ) gives the equations to calculate various variable for the three different cases possible while using a TEG 23 , 24 . where —Temperature on hot side, —Temperature on cold side, —the average seeback coefficient in volts/kelvin, —the difference in temperature across the couple in K, —Voltage generated, —the input heat in Watts, —the thermal conductance of the couple in Watts / K, —the generator output current in Ampere, —the average internal resistance of the thermoelectric couple in Ohms, —the load resistance in Ohms.…”

Section: Methodsmentioning

confidence: 99%

Thermoelectric generator powered timepiece circuit for rechargeable battery operation

Penumala,

Karmel,

Kanimozhi

et al. 2024

Sci Rep

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The advent of digital technology has revolutionized the way we keep track of time. Digital watches have become an essential part of our daily lives and provide us with accurate and reliable time measurement. However, battery reliability is a long-standing issue in the digital watch industry. Batteries require frequent replacement and are a major source of waste. To solve this problem, a digital watch that runs on a lithium-polymer battery that is recharged by a voltage generated by a thermoelectric generator (TEG) placed on the hand. The proposed model uses TEG1-19913 that generates power in the range of 11.5 W to 14.5 W with hot end basking at 250 °C and a cold end between 30 °C and 50 °C. The TEG voltage is used to charge the lithium polymer battery, eliminating the need for conventional charging methods. The watch is designed to be compact and lightweight, so it can be worn comfortably for extended periods of time. The TEG is integrated into the watch strap and ensures that it is constantly in contact with the skin. The lithium-polymer battery used in the watch is a high-performance rechargeable battery that has high energy density and long life. In summary, the proposed digital watch is an innovative ecological solution to the problems associated with traditional battery-powered watches. The compact and light design of the watch combined with the energy-efficient display makes it a convenient and efficient timekeeping device.

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Section: Methodsmentioning

confidence: 99%

Thermoelectric generator powered timepiece circuit for rechargeable battery operation

Penumala,

Karmel,

Kanimozhi

et al. 2024

Sci Rep

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“…To achieve the goal of “carbon neutrality” and “carbon peak” in China, the development of green energy and electric vehicles has become a hot topic in the industry [ 1 ]. Compared to traditional oil-fueled vehicles, fuel cell vehicles are susceptible to malfunctions and safety hazards during operation due to their complex structure, poor operating conditions, strong electromagnetic interference, and uncertain external environmental factors [ 2 , 3 , 4 , 5 , 6 ]. Therefore, real-time monitoring of the vehicle’s parameters and status changes during operation, as well as timely warnings and fault diagnosis of potential faults, are essential.…”

Section: Introductionmentioning

confidence: 99%

Remote Fault Diagnosis for the Powertrain System of Fuel Cell Vehicles Based on Random Forest Optimized with a Genetic Algorithm

Quan,

Zhang,

Feng

2024

Sensors

Self Cite

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To enhance the safety and reliability of fuel cell vehicles, a remote monitoring system based on 5th generation (5G) mobile networks and controller area networks (CANs) was designed, and a random forest (RF) algorithm for the fault diagnosis for eight typical malfunctions of its powertrain system was incorporated. Firstly, the information on the powertrain system was obtained through a 5G-based monitoring terminal, and the Alibaba Cloud IoT platform was utilized for data storage and remote monitoring. Secondly, a fault diagnosis model based on the RF algorithm was constructed for fault classification; its parameters were optimized with a genetic algorithm (GA), and it was applied on the Alibaba Cloud PAI platform. Finally, the performance of the proposed RF fault diagnosis model was evaluated by comparing it with three other classification models: random search conditioning, grid search conditioning, and Bayesian optimization. Results show that the model accuracy, F1 score, and kappa value of the optimized RF fault classification model are higher than the other three. The model achieves an F1 value of 97.77% in identifying multiple typical faults of the powertrain system, as validated by vehicle malfunction data. The method demonstrates the feasibility of remote monitoring and fault diagnosis for the powertrain system of fuel cell vehicles.

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“…16,17 Usually, the heat exchangers used in TEGs can be divided into plat-plate, 18 cylindrical, 19 and polyhedral ones. 20 Even though the first one has more TEMs layout than the last two under the same external surface area conditions, it will lead to terrible surface temperature distribution and higher backpressure, which inevitably reduces the conversion efficiency of TEG. 21 For the second one, it has the best surface temperature distribution uniformity and satisfactory backpressure, but its TEM arrangement is inconvenient and the manufacturing cost is high.…”

Section: Introductionmentioning

confidence: 99%

Performance optimization of a thermoelectric generator for automotive application using an improved whale optimization algorithm

Quan,

Guo,

Liu

et al. 2023

Sustainable Energy Fuels

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Numerical investigation of a thermoelectric generator system with embedded sickle-shaped fins

Cited by 14 publications

References 49 publications

Thermoelectric generator powered timepiece circuit for rechargeable battery operation

Thermoelectric generator powered timepiece circuit for rechargeable battery operation

Remote Fault Diagnosis for the Powertrain System of Fuel Cell Vehicles Based on Random Forest Optimized with a Genetic Algorithm

Performance optimization of a thermoelectric generator for automotive application using an improved whale optimization algorithm

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