We describe a snapshot of an adaptive charging network (ACN) for electric vehicles at Caltech. We overview the system design, from the power distribution system to advanced charger design to control and communication system and the software system that integrates the overall network. We present a simple mathematical formulation of the charging problem. We have collected three months' of baseline charging data from the Caltech ACN. We demonstrate, by simulating a charging algorithm on the baseline data, the large potential benefit of ACN in saving infrastructure costs
As electric vehicles (EVs) are emerging, smart and adaptive charging algorithms have become necessar...
Planning a trip with an electric vehicle requires consideration of both battery dynamics and the ava...
This paper describes “smart charging” systems for plug-in hybrid electric vehicles (PHEVs). The prin...
We describe a snapshot of an adaptive charging network (ACN) for electric vehicles at Caltech. We ov...
Large-scale charging infrastructure will play an important role in supporting the adoption of electr...
We describe the architecture and algorithms of the Adaptive Charging Network (ACN), which was first ...
Millions of electric vehicles (EVs) will enter service in the next decade, generating gigawatt-hours...
Electric vehicle node controllers in accordance with embodiments of the invention enable adaptive ch...
The adaptive charging algorithms of today divide the available charging capacity of a charging site ...
We are releasing ACN-Data, a dynamic dataset of workplace EV charging which currently includes over ...
Smart electric vehicle charging has recently garnered significant attention in the research communit...
The inconvenient nature of non-ideal charging characteristics is demonstrated from a power system po...
The inconvenient nature of non-ideal charging characteristics is demonstrated from a power system po...
ACN-Sim is a data-driven, open-source simulation environment designed to accelerate research in the ...
As electric vehicles (EVs) are emerging, smart and adaptive charging algorithms have become necessar...
As electric vehicles (EVs) are emerging, smart and adaptive charging algorithms have become necessar...
Planning a trip with an electric vehicle requires consideration of both battery dynamics and the ava...
This paper describes “smart charging” systems for plug-in hybrid electric vehicles (PHEVs). The prin...
We describe a snapshot of an adaptive charging network (ACN) for electric vehicles at Caltech. We ov...
Large-scale charging infrastructure will play an important role in supporting the adoption of electr...
We describe the architecture and algorithms of the Adaptive Charging Network (ACN), which was first ...
Millions of electric vehicles (EVs) will enter service in the next decade, generating gigawatt-hours...
Electric vehicle node controllers in accordance with embodiments of the invention enable adaptive ch...
The adaptive charging algorithms of today divide the available charging capacity of a charging site ...
We are releasing ACN-Data, a dynamic dataset of workplace EV charging which currently includes over ...
Smart electric vehicle charging has recently garnered significant attention in the research communit...
The inconvenient nature of non-ideal charging characteristics is demonstrated from a power system po...
The inconvenient nature of non-ideal charging characteristics is demonstrated from a power system po...
ACN-Sim is a data-driven, open-source simulation environment designed to accelerate research in the ...
As electric vehicles (EVs) are emerging, smart and adaptive charging algorithms have become necessar...
As electric vehicles (EVs) are emerging, smart and adaptive charging algorithms have become necessar...
Planning a trip with an electric vehicle requires consideration of both battery dynamics and the ava...
This paper describes “smart charging” systems for plug-in hybrid electric vehicles (PHEVs). The prin...