  For a reduction in environmental pollution and dependency on petroleum,
electric vehicles (EV) present an advantageous alternative to traditionally
fossil-fuel powered automobiles. Rapid growth in the number of EVs requires an
urgent need to develop an adequate charging station infrastructure to stimulate
and facilitate their usage. Due to restricted investments in the development of
a sufficient infrastructure, locations have to be chosen deliberately.
  In this paper, three extensions considering different objectives and various
constraints to the deterministic flow refuelling location problem (DFRLP),
described 2017 by de Vries and Duijzer, are introduced. In the first extension
we ask how many charging stations (CS) are necessary to cover a pre-specified
number of EVs and therefore exchange the original objective function for a
minimizing cost function. Secondly, our research shows that, when considering
location-dependent construction costs, results heavily depend on the relations
of said cost differences. Tests for different cost scenarios are carried out
and policy implications are discussed. In the last extension, we consider the
capacity of a CS to be limited. The DFRLP assumes an unlimited capacity,
meaning it is always possible to refuel all EVs at all CSs, where they stop. In
our model the capacity is put into relation to the total sum of demands
generated by all EVs, passing a particular CS, which means that our model
determines the placement and the sizes of all CSs simultaneously.
  Finally, all extensions are evaluated using benchmarks instances based on
test instances from the literature.
