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An explicit linearized state-space technique for accelerated simulation of electromagnetic vibration energy harvesters

An explicit linearized state-space technique for accelerated simulation of electromagnetic vibration energy harvesters
An explicit linearized state-space technique for accelerated simulation of electromagnetic vibration energy harvesters
Vibration energy harvesting systems pose significant modeling and design challenges due to their mixed-technology nature, extremely low levels of available energy and disparate time scales between different parts of a complete harvester. An energy harvester is a complex system of tightly coupled components modeled in the mechanical, magnetic as well as electrical analog and digital domains. Currently available design tools are inadequate for simulating such systems due to prohibitive CPU times. This paper proposes a new technique to accelerate simulations of complete vibration energy harvesters by approximately two orders of magnitude. The proposed technique is to linearize the state equations of the system's analog components to obtain a fast estimate of the maximum step-size to guarantee the numerical stability of explicit integration based on the Adams-Bashforth formula. We show that the energy harvester's analog electronics can be efficiently and reliably simulated in this way with CPU times two orders of magnitude lower than those obtained from two state-of-the art tools, VHDL-AMS and SystemC-A. As a case study, a practical, complex microgenerator with magnetic tuning and two types of power processing circuits have been simulated using the proposed technique and verified experimentally.
Energy harvesting, state-space technique, simulation acceleration, tunable microgenerator, DC-to-DC converter
0278-0070
522-531
Kazmierski, Tom
a97d7958-40c3-413f-924d-84545216092a
Wang, Leran
91d2f4ca-ed47-4e47-adff-70fef3874564
Al-Hashimi, Bashir
0b29c671-a6d2-459c-af68-c4614dce3b5d
Merrett, Geoff V.
89b3a696-41de-44c3-89aa-b0aa29f54020
Kazmierski, Tom
a97d7958-40c3-413f-924d-84545216092a
Wang, Leran
91d2f4ca-ed47-4e47-adff-70fef3874564
Al-Hashimi, Bashir
0b29c671-a6d2-459c-af68-c4614dce3b5d
Merrett, Geoff V.
89b3a696-41de-44c3-89aa-b0aa29f54020

Kazmierski, Tom, Wang, Leran, Al-Hashimi, Bashir and Merrett, Geoff V. (2012) An explicit linearized state-space technique for accelerated simulation of electromagnetic vibration energy harvesters. IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems, 31 (4), 522-531. (doi:10.1109/TCAD.2011.2176124).

Record type: Article

Abstract

Vibration energy harvesting systems pose significant modeling and design challenges due to their mixed-technology nature, extremely low levels of available energy and disparate time scales between different parts of a complete harvester. An energy harvester is a complex system of tightly coupled components modeled in the mechanical, magnetic as well as electrical analog and digital domains. Currently available design tools are inadequate for simulating such systems due to prohibitive CPU times. This paper proposes a new technique to accelerate simulations of complete vibration energy harvesters by approximately two orders of magnitude. The proposed technique is to linearize the state equations of the system's analog components to obtain a fast estimate of the maximum step-size to guarantee the numerical stability of explicit integration based on the Adams-Bashforth formula. We show that the energy harvester's analog electronics can be efficiently and reliably simulated in this way with CPU times two orders of magnitude lower than those obtained from two state-of-the art tools, VHDL-AMS and SystemC-A. As a case study, a practical, complex microgenerator with magnetic tuning and two types of power processing circuits have been simulated using the proposed technique and verified experimentally.

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Accepted/In Press date: November 2011
Published date: April 2012
Keywords: Energy harvesting, state-space technique, simulation acceleration, tunable microgenerator, DC-to-DC converter
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 272972
URI: https://eprints.soton.ac.uk/id/eprint/272972
ISSN: 0278-0070
PURE UUID: 96e0a91f-52a1-4c39-a2b4-ac1955b4858d
ORCID for Geoff V. Merrett: ORCID iD orcid.org/0000-0003-4980-3894

Catalogue record

Date deposited: 01 Nov 2011 15:30
Last modified: 06 Jun 2018 12:42

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