Design and power management of energy harvesting embedded systems

2006 ◽  
Author(s):  
Vijay Raghunathan ◽  
Pai H. Chou
Keyword(s):  
Energy Harvesting ◽  
Embedded Systems ◽  
Power Management

Avoiding Data Inconsistency in Energy Harvesting Powered Embedded Systems

2018 ◽  
Vol 23 (3) ◽  
pp. 1-25 ◽  
Author(s):  
Mimi Xie ◽  
Chen Pan ◽  
Mengying Zhao ◽  
Yongpan Liu ◽  
Chun Jason Xue ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Embedded Systems ◽  
Data Inconsistency

scholarly journals Electrical power management and optimization with nonlinear energy harvesting structures

2018 ◽  
Vol 30 (2) ◽  
pp. 213-227 ◽  
Author(s):  
Wen Cai ◽  
Ryan L Harne
Keyword(s):  
Energy Harvesting ◽  
Nonlinear Vibration ◽  
Power Management ◽  
Partial Information ◽  
Electrical Power ◽  
System Level ◽  
Vibration Energy ◽  
Amplitude Dependence ◽  
Harvesting Systems ◽  
Nonlinear Energy

In recent years, great advances in understanding the opportunities for nonlinear vibration energy harvesting systems have been achieved giving attention to either the structural or electrical subsystems. Yet, a notable disconnect appears in the knowledge on optimal means to integrate nonlinear energy harvesting structures with effective nonlinear rectifying and power management circuits for practical applications. Motivated to fill this knowledge gap, this research employs impedance principles to investigate power optimization strategies for a nonlinear vibration energy harvester interfaced with a bridge rectifier and a buck-boost converter. The frequency and amplitude dependence of the internal impedance of the harvester structure challenges the conventional impedance matching concepts. Instead, a system-level optimization strategy is established and validated through simulations and experiments. Through careful studies, the means to optimize the electrical power with partial information of the electrical load is revealed and verified in comparison to the full analysis. These results suggest that future study and implementation of optimal nonlinear energy harvesting systems may find effective guidance through power flow concepts built on linear theories despite the presence of nonlinearities in structures and circuits.

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