Published November 2018
| public
Book Section - Chapter
Large-Scale Adaptive Electric Vehicle Charging
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
- Eprint ID
- 93368
- DOI
- 10.1109/GlobalSIP.2018.8646472
- Resolver ID
- CaltechAUTHORS:20190228-160214269
- NSF Graduate Research Fellowship
- DGE-1745301
- NSF
- IIP-1602119
- NSF
- CCF-1637598
- Created
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2019-03-01Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field