  We study the feasibility of using electric vehicles in online, high-capacity
ridepooling systems. Prior work has shown that online algorithms perform well
for centrally-controlled, high-capacity ridepool systems. First, we propose a
mixed integer linear program to expand past algorithms on ridepooling to
electric vehicles fleets with the objective of scheduling vehicle charging to
maintain sufficient fleet sizes at various times of day. Then we show a faster,
scalable algorithm with similar performance that is practical for full-scale
systems. Our contributions show the importance of having knowledge and
estimates of future demand even when operating in the online setting.
