“…This substitution leads to the maximum theoretical power P limME (21). Contrary to PE transducers, the power limit of ME systems is not proportional to the effective mass M, but to the square of the expedient magnetoelectric coefficient B m .…”
Section: Maximum Power Transmission For a Me Transducermentioning
confidence: 99%
“…The mechanical model is made of an effective mass M of motion x with respect to the base, suspended by a spring of stiffness K(x). A previous study has proven that the system exhibits a nonlinear stiffness [21]. For that reason, we assume that the stiffness is given by (1).…”
Section: System-level Model Of a Magnetoelectric Transducermentioning
confidence: 99%
“…This graph highlights how the peak power measured at 11.3 mA would be overestimated by around 48% with the linear assumption. Since the load has been optimally chosen, the experimental peak power reaches the power limit P lim (21) predicted from the identified parameters. Even though this discussion remains qualitatively valid for other input levels, the situation is even more complex that the exact conclusions quantitatively depend on the considered levels of current.…”
Section: Impact Of Parameter Variations On Circuit Designmentioning
In this contribution, we propose an experimentally-validated systemlevel model of a magnetoelectric transducer and a general methodology for future characterization of similar transducers. This methodology provides insights into the main origin of power losses. An analogy with piezoelectric generators leads to a system-level figure of merit which is strongly impacted by the nonlinear behavior of the transducer. Considering the complexity of the observed nonlinear behavior, we opt for a grey-box model of the dependencies between the transducer characteristics and the operating point. Applying our methodology to an optimized sample shows that nonlinear mechanical losses are the main origin of power dissipation. The maximum transferable power is proven to be up to 61% lower than the power one would expect from a linear characterization.
“…This substitution leads to the maximum theoretical power P limME (21). Contrary to PE transducers, the power limit of ME systems is not proportional to the effective mass M, but to the square of the expedient magnetoelectric coefficient B m .…”
Section: Maximum Power Transmission For a Me Transducermentioning
confidence: 99%
“…The mechanical model is made of an effective mass M of motion x with respect to the base, suspended by a spring of stiffness K(x). A previous study has proven that the system exhibits a nonlinear stiffness [21]. For that reason, we assume that the stiffness is given by (1).…”
Section: System-level Model Of a Magnetoelectric Transducermentioning
confidence: 99%
“…This graph highlights how the peak power measured at 11.3 mA would be overestimated by around 48% with the linear assumption. Since the load has been optimally chosen, the experimental peak power reaches the power limit P lim (21) predicted from the identified parameters. Even though this discussion remains qualitatively valid for other input levels, the situation is even more complex that the exact conclusions quantitatively depend on the considered levels of current.…”
Section: Impact Of Parameter Variations On Circuit Designmentioning
In this contribution, we propose an experimentally-validated systemlevel model of a magnetoelectric transducer and a general methodology for future characterization of similar transducers. This methodology provides insights into the main origin of power losses. An analogy with piezoelectric generators leads to a system-level figure of merit which is strongly impacted by the nonlinear behavior of the transducer. Considering the complexity of the observed nonlinear behavior, we opt for a grey-box model of the dependencies between the transducer characteristics and the operating point. Applying our methodology to an optimized sample shows that nonlinear mechanical losses are the main origin of power dissipation. The maximum transferable power is proven to be up to 61% lower than the power one would expect from a linear characterization.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.