ESA title
A power system simulation tool for Mars surface applications
Science & Exploration

Fuel cell power system options for Mars rovers

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ESA / Science & Exploration / Human and Robotic Exploration / Exploration

On the Martian surface, solar cells are still adequate for a certain amount of scientific exploration. ExoMars has a relatively ambitious set of scientific instruments and also aims to have a longer lifetime than previous missions. Within this mission context, it is still envisaged to use solar cells but these technologies will at some point reach a limit in the amount of power they can provide. On top of that, solar cells can only be used as a daytime power provider. For operations in night-time or reduced light conditions, solar panels are no longer so suitable as a long term power generation option.

Fuel cells may offer an alternative as a power generation technology. These devices the energy stored in a fuel (mainly hydrogen, oxygen, methanol) into electricity and heat through an electrodynamical oxidisation process. They are not light dependent, they are reasonably mass efficient devices, are flight-proven outside of Europe (NASA’s Space Shuttle) and have a high efficiency. They can also be used for both mobile rovers and static landers on planetary surfaces as well as in space. They can be commonly used in hybrid configuration with other power system elements (e.g. solar arrays, batteries etc.)

The primary goal of this activity is to develop a power system simulation tool for Mars surface applications. This tool will aid in identifying the best hybrid configuration together with specific mission profiles and investigate which power system elements should be operated with a specific application. Input parameters of the software tool are considered application, simulation environment (within this activity, this environment is limited to the Mars surface), and the desired power system features. The software then adapts the system properties with respect to those parameters and to common user-defined optimisation criterion, for example mass performance optimisation.

In the medium-term timeframe, it is envisaged to have this tool available for terrestrial applications. Therefore, this activity aims at implementing a flexible tool that might be adapted to other environments and applications.

Start Expected or
actual duration
Status Prime contractor
2003 24 months Completed Graz University of Technology (TUG)

Executive Summary

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