CaltechAUTHORS
Published November 2018 | Version public
Book Section - Chapter Metadata-only

Large-Scale Adaptive Electric Vehicle Charging

Creators

Abstract

Large-scale charging infrastructure will play an important role in supporting the adoption of electric vehicles. In this extended abstract, we describe a unique physical testbed for large-scale, high-density EV charging research which we call the Adaptive Charging Network (ACN). We describe the architecture of the ACN including its hardware and software components. We also present a practical framework for online scheduling, which is based on model predictive control and convex optimization. We use simulations based on real data collected from the ACN to illustrate the trade-offs involved in accounting for non-ideal charging behavior.

Additional Information

© 2018 IEEE. This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. 1745301, NSF AIR-TT under Grant No. 1602119, and NSF CTT under Grant No. 1637598.

Additional details

Identifiers

Eprint ID
93368
DOI
10.1109/GlobalSIP.2018.8646472
Resolver ID
CaltechAUTHORS:20190228-160214269

Related works

Describes
10.1109/GlobalSIP.2018.8646472 (DOI)

Funding

NSF Graduate Research Fellowship
DGE-1745301
NSF
IIP-1602119
NSF
CCF-1637598

Dates

Created
2019-03-01
Created from EPrint's datestamp field
Updated
2021-11-16
Created from EPrint's last_modified field