Future Power Solutions for Exploring Hypothesized Surfaces – Watts on Psyche?
INSTITUTION
Arizona State University (ASU)
CLASS
Platinum Class (2025 – 2026)
STUDENT TEAM
Jorgiann, Krause, Electrical Engineering
Brad, Leinen, Electrical Engineering
Sabrina, Martinez, Electrical Engineering
Danielle, Feinstein, Electrical Engineering
ACADEMIC GUIDANCE
PROJECT DESCRIPTION
Psyche Power Solutions is a five-student senior design team at Arizona State University building an end-to-end power management system for a hypothetical surface rover at asteroid 16 Psyche. The project is implemented on two complementary platforms that share a single control algorithm: a Python simulation with a graphical interface that models orbital solar irradiance as a function of both the asteroid’s orbital position and the rover’s latitude on the surface, battery state of charge, and long-term component degradation across mission timescales, and an Arduino Giga R1 hardware build that runs the same algorithm in real time with physical switches, potentiometers, and a display shield.
At the heart of the system is a priority-based load scheduler that manages various of instrumentation, communications, and housekeeping devices. As the battery charges and discharges through the rover’s day, the algorithm shifts between Normal, Low Power, and Survival operating modes, shedding non-essential loads when energy is scarce and restoring them when generation recovers. Fault injection and degradation profiles let the team stress-test how the algorithm responds to hardware failures and years of wear; the kind of conditions that, in a real deep-space mission, cannot be recalled or patched once the spacecraft leaves Earth.
