Airbus Defence and Space Sas

Airbus Group Sas

Airbus Helicopters

European Aeronautic Defence and Space Company Eads France

Airbus Corporation

Arianegroup Sas

Airbus Safran Launchers Sas

European Aeronautic Defence and Space Company Eads

Gregor Massiot

Benoit Fleury

Pierre-Bertrand Lancelevee

Julien Labbe

Marc Grieu

A method for optimizing the architecture of the power supply of a load, includes the following steps: determination of a mission profile () sizing according to the power required by the load over time; definition of the sources of energy storage for hybridization; association of a characteristic behavior model with each source of energy storage; determination of the couples of sources of energy storage that can generate the mission profile with a minimum mass; and determination, from the potential couples of sources of energy storage, of the couple with the weakest mass.

Method for optimising the architecture of the power supply of a load

A device () for the electric power supply of a load (), includes at least two energy storage elements (), elements for determining the power needs of the load (), elements () for monitoring each energy storage element (), which are able to provide information about a maximum instantaneous power of each energy storage element (), a calculation body () for determining a maximum secured power according to the electromotive force (Ebat(t)) and the resistance (Rbat(t)) of the Th&#xe9;venin model, a maximum specified current and a maximum specified voltage, and elements (Cbat(t), Csc(t)) for controlling each energy storage element (), the elements being adjusted over time according to the power needs of the load () and the maximum secured power of each energy storage element ().

Device for the electric power supply of a load and associated method

To measure the fatigue ageing of an electronic component in an electronic assembly subjected to mechanical excitations, a dynamic correspondence is established between kinematic measurements at certain points and mechanical stresses experienced at points that are critical as regard to the reliability of the electronic assembly. The critical points may be different from the measurement points. This correspondence is integrated into a monitoring device as a functionality that calculates the mechanical stresses, thereby providing an indicator of the cumulative fatigue damage. The invention is such that the monitoring device can be incorporated into the electronic assembly, preferably, the monitoring device is autonomous both as regard to processing the measurements and calculating the damage.

Method of evaluating the ageing of an electronic assembly

Growing community of inventors

Toulouse, France

Gregor Massiot