Authors:
Marco Roscher
;
Jonas Fluhr
and
Theo Lutz
Affiliation:
FIR at RWTH Aachen, Germany
Keyword(s):
Regulation Service Market, Integration of Electric Vehicles into Smart Grids, Vehicle-to-Grid (V2G) Business Model, Prediction of Electric Vehicles Batteries Degradation, Optimization Model.
Related
Ontology
Subjects/Areas/Topics:
Energy and Economy
;
Integration of Smart Appliances
;
Load Balancing in Smart Grids
;
Real-Time Systems
;
Scalable Infrastructures for Smart Grids
;
Smart Grids
Abstract:
In the “Li-Mobility” project, a battery management system (BMS) for lithium-ion batteries was developed.
It particularly aims to perform online diagnoses while driving as well as to predict the impact of additional cyclization through grid control and balancing functions on the degradation of the battery. The information about the predicted degradation and the overall decision whether a car battery is providing balancing power
or not is based on an optimization model run by an aggregator- The aggregator’s ICT system uses information based on the number of available electric vehicles, their configuration, battery characteristics and information about market prices for supply of balancing power in order to optimized offers. Hence, it is, possible to make realistic cost estimations for vehicle-to-grid (V2G) scenarios and to determine economically profitable ones for each vehicle individually. The optimization model was tested on the basic principles of conventional lithium-ion cells in
general and with lithium iron phosphate (LiFePO4) cells in particular.
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