title: Master-slave control scheme in electric vehicle smart charging infrastructure.
abstract: WINSmartEV is a software based plug-in electric vehicle (PEV) monitoring, control, and management system. It not only incorporates intelligence at every level so that charge scheduling can avoid grid bottlenecks, but it also multiplies the number of PEVs that can be plugged into a single circuit. This paper proposes, designs, and executes many upgrades to WINSmartEV. These upgrades include new hardware that makes the level 1 and level 2 chargers faster, more robust, and more scalable. It includes algorithms that provide a more optimal charge scheduling for the level 2 (EVSE) and an enhanced vehicle monitoring/identification module (VMM) system that can automatically identify PEVs and authorize charging.
authors: Department of Mechanical and Aerospace Engineering, University of California at Los Angeles, 420 Westwood Plaza, Los Angeles, CA 90095-1594, USA.
authors: Ching-Yen
authors: CY
authors: Chung
authors: Department of Mechanical and Aerospace Engineering, University of California at Los Angeles, 420 Westwood Plaza, Los Angeles, CA 90095-1594, USA.
authors: Joshua
authors: J
authors: Chynoweth
authors: Department of Mechanical and Aerospace Engineering, University of California at Los Angeles, 420 Westwood Plaza, Los Angeles, CA 90095-1594, USA.
authors: Chi-Cheng
authors: CC
authors: Chu
authors: Department of Mechanical and Aerospace Engineering, University of California at Los Angeles, 420 Westwood Plaza, Los Angeles, CA 90095-1594, USA.
authors: Rajit
authors: R
authors: Gadh
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001336:Automobiles; D012984:Software