  The automation of passenger vehicles is becoming more and more widespread,
leading to full autonomy of cars within the next years. Furthermore,
sustainable electric mobility is gaining in importance. As racecars have been a
development platform for technology that has later also been transferred to
passenger vehicles, a race format for autonomous electric racecars called
Roborace has been created. As electric racecars only store a limited amount of
energy, an Energy Management Strategy (EMS) is needed to work out the time as
well as the minimum energy trajectories for the track. At the same time, the
technical limitations and component behavior in the electric powertrain must be
taken into account when calculating the race trajectories. In this paper, we
present a concept for a special type of EMS. This is based on the Optimal
Control Problem (OCP) of generating a time-minimal global trajectory which is
solved by the transcription via direct orthogonal collocation to a Nonlinear
Programming Problem (NLPP). We extend this minimum lap time problem by adding
our ideas for a holistic EMS. This approach proves the fundamental feasibility
of the stated ideas, e.g. varying racepaths and velocities due to energy
limitations, covered by the EMS. Also, the presented concept forms the basis
for future work on meta-models of the powertrain's components that can be fed
into the OCP to increase the validity of the control output of the EMS.
