Design and optimization of an antenna with Thermo-Electric Generator (TEG) for autonomous wireless nodes

2014 ◽  
Author(s):  
Marco Virili ◽  
Apostolos Georgiadis ◽  
Kyriaki Niotaki ◽  
Ana Collado ◽  
Federico Alimenti ◽  
...  
Keyword(s):  
Thermo Electric ◽  
Electric Generator ◽  
Design And Optimization ◽  
Wireless Nodes

scholarly journals RANGE EXTENDER ICE MULTI-PARAMETRIC MULTI-OBJECTIVE OPTIMIZATION

2021 ◽  
Vol 18 (1) ◽  
pp. 10
Author(s):  
Mikuláš Adámek ◽  
Rastislav Toman
Keyword(s):  
Simulation Model ◽  
Combustion Engine ◽  
Raw Materials ◽  
Single Point ◽  
Fuel Efficiency ◽  
Optimization Approach ◽  
Multi Objective Optimization ◽  
Electric Generator ◽  
Design And Optimization ◽  
Multi Objective

Range Extended Electric Vehicles (REEV) are still one of the suitable concepts for modern sustainable low emission vehicles. REEV is equipped with a small and lightweight unit, comprised usually of an internal combustion engine with an electric generator, and has thus the technical potential to overcome the main limitations of a pure electric vehicle – range anxiety, overall driving range, heating, and air-conditioning demands – using smaller battery: saving money, and raw materials. Even though several REx ICE concepts were designed in past, most of the available studies lack more complex design and optimization approach, not exploiting the advantageous single point operation of these engines. Resulting engine designs are usually rather conservative, not optimized for the best efficiency. This paper presents a multi-parametric and multi-objective optimization approach, that is applied on a REx ICE. Our optimization toolchain combines a parametric GT-Suite ICE simulation model, modeFRONTIER optimization software with various optimization strategies, and a parametric CAD model, that first provides some simulation model inputs, and second also serves for the final designs’ feasibility check. The chosen ICE concept is a 90 degrees V-twin engine, four-stroke, spark-ignition, naturally aspirated, port injected, OHV engine. The optimization goal is to find the thermodynamic optima for three different design scenarios of our concept – three different engine displacements – addressing the compactness requirement of a REx ICE. The optimization results show great fuel efficiency potential by applying our optimization methodology, following the general trends in increasing ICE efficiency, and power for a naturally aspirated concept.

A Self-Starting 70 mV-1 V, 65% Peak Efficient, TEG Energy Harvesting Chip with 5 ms Startup Time

2016 ◽  
Vol 26 (03) ◽  
pp. 1750040
Author(s):  
Arun Kumar Sinha
Keyword(s):  
Peak Power ◽  
Low Voltage ◽  
Input Voltage ◽  
Cmos Technology ◽  
Voltage Source ◽  
Thermo Electric ◽  
Electric Generator ◽  
Measurement Results ◽  
Startup Time ◽  
Work Up

This paper presents design and measurement results of a DC–DC converter, intended to harvest energy from a thermo-electric generator (TEG). The prototype chip was fabricated in 130[Formula: see text]nm CMOS technology. The designed converter can extract maximum power from a TEG, without using an input capacitor ([Formula: see text] or a closed loop maximum peak power tracking circuit to regulate the input voltage ([Formula: see text]. The converter uses a low voltage oscillator coupled with charge pump to directly power the auxiliary circuits; and auxiliary circuits drives two inductors in two half cycles of a clock pulse. The measurement has been performed by using a TEG, and a voltage source (50–200[Formula: see text]mV) with a series resistance of 5[Formula: see text]ohms. The result shows that the prototype can self-starts from 70[Formula: see text]mV with 5[Formula: see text]ms startup time and can work up to a minimum of 50[Formula: see text]mV; and can extract, 57.2% (at 50[Formula: see text]mV) to 65% (at 200[Formula: see text]mV), of the available power.

Static Characteristics of Micro Disc Magneto Electric Generator – Simulation and Experiment

2013 ◽  
Vol 365-366 ◽  
pp. 356-359
Author(s):  
Lin Du ◽  
Geng Chen Shi ◽  
Jing Jing Zhao
Keyword(s):  
Finite Element ◽  
Structural Design ◽  
Experimental Result ◽  
Static Characteristics ◽  
Element Analysis ◽  
Electric Generator ◽  
Design And Optimization ◽  
Element Simulation ◽  
Simulation And Experiment ◽  
3D Software

Maxwell 3D software of finite-element analysis in electromagnetic fields is used to model and simulate the micro disc magneto electric generator. Distribution characteristics of magnetic induction are required and theoretical analysis and calculation is presented. Error between the simulation result and experimental result is about 6% which verify the rationality and accuracy of finite-element simulation. It can be used to guide the structural design and optimization of this type of generator.

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