Title :
A supervisory controller for a hybrid energy storage system with two propulsion machines in electric vehicles
Author :
Huseyin A. Yavasoglu;Junyi Shen;Chuan Shi;Alireza Khaligh
Author_Institution :
Power Electronics, Energy Harvesting, and Renewable Energies Laboratory, Electrical and Computer Engineering Department and the Institute for Systems Research, University of Maryland
Abstract :
In this paper, a power split control strategy is proposed for an electric vehicle (EV) powertrain with two propulsion machines and a battery/ultra-capacitor (UC) hybrid energy storage system (HESS). Using this supervisory control strategy, the load power is effectively split between the two propulsion machines to obtain the highest powertrain efficiency in both propulsion and regenerative braking modes. In addition, in order to optimize the power split in HESS, a convex optimization problem is formulated to minimize the battery power magnitude and battery current variations. With the proposed supervisory control strategy, 10% improvement in the powertrain efficiency and 82% extension of the battery lifetime is expected.
Keywords :
"Propulsion","Batteries","Mechanical power transmission","Torque","Convex functions","Optimization"
Conference_Titel :
Electrical Machines & Power Electronics (ACEMP), 2015 Intl Conference on Optimization of Electrical & Electronic Equipment (OPTIM) & 2015 Intl Symposium on Advanced Electromechanical Motion Systems (ELECTROMOTION), 2015 Intl Aegean Conference on
DOI :
10.1109/OPTIM.2015.7426995
