Overview

Power and Energy Analysis Tools

The proposed Analysis Tools for Power & Energy variables are based on some extensions of libraries where the power and energy variables were introduced in the library submodels. See the Power and Energy Variable-compliant libraries for the list of libraries compatible with the power and energy variables.

You are provided with tools that enable the exploitation of simulation results. To do so, Simcenter Amesim™ software provides 4 main GUI features that will be described in the next sections of this manual:

• The group of energy management variables containing power and energy variables, appearing in the submodels once the power & energy computations are activated,

• The 2D plot which makes it possible to analyze the evolution of powers and energies over time,

• The Power, Energy, Activity window which makes it possible to quickly visualize and identify all power and energy variables,

• The Animated bar graph which makes it possible to compare different powers or energies in a clear graph. Figure 1: Green Design GUI features

The main idea is that any model is represented by elementary physical elements, either at the submodel level for the components or at the supercomponents level for the subsystems.

The generic case includes the following assumptions:

• Its a dipole with 2 connecting ports in the most common case but in the general case, the number of ports could be larger than two,

• It includes several I, C and R type bond graph elements and also transformers,

• It could include exchanges with the environment which can be described explicitly or not,

• It uses models of material/fluid/media properties which can be defined at an upper level.

Figure 2: Example of a set of elementary components (submodels) constituting a supercomponent

The energy analysis can be done at the level of each lumped element (I, C, R) to get a full detailed view of the evolution of power & energy variables in the components.

Such an approach also intrinsically brings by itself the scalability by hierarchy for components / subsystems / systems, as well as the scalability by complexity matching the different levels of physical assumptions taken into account in the model.