Paper Info
Title
Adaptive Control of the Heating System for Optimized Energy Consumption in Electric Vehicles
Abstract
The heating system, the second largest energy consumer after the power train in electric vehicles (EV), has a significant impact on the overall energy management. We propose an optimized control algorithm for minimizing the energy consumption of the heating system for the passenger cabin. The presented adaptive control strategy combining a learning algorithm and dynamic programming optimizes the amount of energy consumption under consideration of the thermal comfort of EV passengers. Experiments shows that a reduction of energy consumption up to 12 % is achieved without sacrificing the preferred comfort.
Year
DOI
Venue
2016
10.1109/DSD.2016.79
2016 Euromicro Conference on Digital System Design (DSD)
Keywords
Field
DocType
electric vehicles,heating system,control system
Powertrain,Dynamic programming,Automotive engineering,Energy management,Heating system,Computer science,Simulation,Real-time computing,Thermal comfort,Adaptive control,Control system,Energy consumption
Conference
ISBN
Citations 
PageRank 
978-1-5090-2818-4
0
0.34
References 
Authors
6
4
Name
Order
Citations
PageRank
Rhea Valentina141.27
Alexander Viehl218125.01
Oliver Bringmann358671.36
Wolfgang Rosenstiel41462212.32