Lee, Zachary J. and Chang, Daniel and Jin, Cheng and Lee, George S. and Lee, Rand and Lee, Ted and Low, Steven H. (2018) Large-Scale Adaptive Electric Vehicle Charging. In: 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE , Piscataway, NJ, pp. 863-864. ISBN 978-1-7281-1295-4. https://resolver.caltech.edu/CaltechAUTHORS:20190228-160214269
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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.
| Item Type: | Book Section | |||||||||
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| 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. | |||||||||
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| Subject Keywords: | Electric vehicles, adaptive charging, online scheduling, ACN deployment, intelligent infrastructure | |||||||||
| DOI: | 10.1109/GlobalSIP.2018.8646472 | |||||||||
| Record Number: | CaltechAUTHORS:20190228-160214269 | |||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20190228-160214269 | |||||||||
| Official Citation: | Z. J. Lee et al., "Large-Scale Adaptive Electric Vehicle Charging," 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Anaheim, CA, USA, 2018, pp. 863-864. doi: 10.1109/GlobalSIP.2018.8646472 | |||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||
| ID Code: | 93368 | |||||||||
| Collection: | CaltechAUTHORS | |||||||||
| Deposited By: | Tony Diaz | |||||||||
| Deposited On: | 01 Mar 2019 00:13 | |||||||||
| Last Modified: | 16 Nov 2021 16:57 |
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