Electric vehicle charge scheduling from a multi-stakeholder perspective

For the project for Hybrid Systems---Computation and Control (EECS 291E/ME 290Q), Vineet Nair and I chose a hybrid systems theoretic approach in order to model the car's distance along route and state of charge (continuous dynamics) combined with the mode each car is in (driving, charging, waiting to charge). The solution concept is to solve a mixed-integer quadratic program (MIQP) using an off-the-shelf solver (Gurobi) in order to minimize the aggregate cost of the system.

See the paper on ArXiv.org

In this paper, we design an algorithm for optimally scheduling the charging of long-range battery electric vehicles (BEVs) along highway networks, in order to minimize aggregate costs to the overall system consisting of utilities or electricity providers, station operators and other infrastructure, as well as EV users. Thus, we approach the problem from the perspective of both customers (EV car owners), as well as charging station operators and utilities using a hybrid systems based formulation.