Electrostatic Kinetic Energy Harvesting

静电动能收割机

机械史

原   价:
2046.25
售   价:
1637.00
优惠
平台大促 低至8折优惠
发货周期:预计3-5周发货
作      者
出  版 社
出版时间
2016年03月10日
装      帧
精装
ISBN
9781848217164
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页      码
244
语      种
英文
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图书简介
This book deals with kinetic energy harvesting using MEMS capacitive transducers. Harvesting kinetic energy is a good opportunity to power wireless sensor in a vibratory environment. Besides classical methods based on electromagnetic and piezoelectric mechanisms, electrostatic transduction has a great perspective in particular when dealing with small devices based on MEMS technology. This book describes in detail the principle of such capacitive Kinetic Energy Harvesters based on a spring-mass system. Specific points related to the design and operation of kinetic energy harvesters (KEHs) with a capacitive interface are presented in detail: advanced studies on their nonlinear features, typical conditioning circuits and practical MEMS fabrication. Electrostatic is a transduction mechanism with increasing popularity for Kinetic Energy Harvesters. Coupling from the mechanical to the electrical domains can directly be controlled by the applied voltage, which gives a possibility to implement smart adaptive features into the system. However it implies complex nonlinear mechanism that makes the design of capacitive KEH very sensitive. Up to date, there are no books describing in detail the physic principles and practical implementations of this kind of devices. This book will be the first book dealing in detail with kinetic energy harvesting using electrostatic transduction. The specific nonlinear behavior of e-KEHs will be described from theoretical and practical points of views. We will explain the limitations induced by these nonlinearities, but more importantly how to take benefit from them. Different approaches to model and analyze electrostatic transducers and conditioning circuits (CCs) will be presented. This will allow us firstly to predict the behavior of e-KEHs depending on their mechanical and electrical environment, and secondly to design/optimize CCs taking into account the nonlinear behavior of the transducer. Various CCs will be described, from a basic one to smart CCs with auto adaptive features.  
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