IEEE Transactions on Power Electronics · 2006 · 66 citations · 16 references
Medical ElectronicsEngineeringPower CircuitCircuit InductancePower Electronics ConverterConverter Circuit DesignElectric Power ConversionBiomedical EngineeringPower ElectronicsWireless Implantable DeviceMicropower Electrostatic GeneratorsParasitic Series InductancePower-aware DesignHuman BodyElectrical EngineeringEnergy HarvestingSemiconductor Device SelectionComputer EngineeringMicroelectronicsLow-power ElectronicsPower DevicePiezoelectric NanogeneratorsBioelectronicsElectrophysiology
For various medical monitoring and sensing applications it is desirable to power the electronics by scavenging energy from any locally available source. An electrostatic motion-driven generator for low-frequency (human body) motion has been developed by the authors using microelectromechanical system technology. The prototype generates pulses of 250V on a 10-pF capacitor. This paper examines the design of a circuit and semiconductor devices to convert this energy to a low voltage. Because of the very small charge involved, the effects of leakage and parasitic stored charge are important. Converters for this application using silicon-on-insulator metal-oxide-semiconductor field-effect transistors and insulated gate bipolar transistors are compared using physics-based finite-element simulation. The overall effectiveness of the generation process is shown to be composed of several terms which are functions of system parameters such as generator flight time, semiconductor device area, and circuit inductance. It is shown that device area is a compromise between leakage current, charge storage, and on-state voltage. It can, for a given generator and inductance, be optimized to provide the maximum energy yield. Parasitic series inductance is shown to be of little importance to the circuit efficiency; however, parasitic capacitance has a significant influence.
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Optimization of inertial micropower Generators for human walking motion
Thomas von Büren, PD Mitcheson, T.C. Green et al. · IEEE Sensors Journal · 2006 · 221 citations