  We propose an algorithm for distributed charging control of electric vehicles
(EVs) using online learning and online convex optimization. Many distributed
charging control algorithms in the literature implicitly assume fast two-way
communication between a distribution company and EV customers. This assumption
is impractical at present and raises privacy and security concerns. Our
algorithm does not use this assumption; however, at the expense of slower
convergence to the optimal solution. The proposed algorithm requires one-way
communication, which is implemented through the distribution company publishing
the pricing profiles of the previous days. We provide convergence results of
the algorithm and illustrate the results through numerical examples.
