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A tunable magnetic-spring based electromagnetic energy harvester is presented in this paper to harvest vibration energy from human motions. The harvester is modeled by Ansoft Maxwell software and the best way of magnetic stack is chosen according to the generated voltage from simulation. Dynamic model of the energy harvester is derived and corresponding theoretical and numerical analysis are performed...
This paper presents the design, modeling, and optimization of an electromagnetic energy harvesting (EMEH) device with various tube length and winding coil width. The nonlinear magnetic-spring configuration is employed for generating sufficient power from hand shaking of irregular and low-frequency vibrations. Based on the modeling and simulation, longer tube length of the EMEH device results in lower...
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