Title :
A control strategy to minimize fuel consumption of series hybrid electric vehicles
Author :
Barsali, Stefano ; Miulli, Carmine ; Possenti, Andrea
Author_Institution :
Dipt. di Sistemi Elettrici e Automazione, Univ. of Pisa, Italy
fDate :
3/1/2004 12:00:00 AM
Abstract :
This paper presents an approach to the problem of controlling the electricity generation of series hybrid electric vehicles (SHEVs) and proposes an algorithm with the goal to minimize fuel consumption. Starting from the knowledge of the vehicle electric generator consumption maps, as well as information on the vehicle battery behavior, and on some overall parameters characterizing the expected trip, the algorithm is able to define: whether to continuously keep the generator in the ON state or not; when to, if is the case, switch the generator ON or OFF; the instantaneous power to be delivered by the electric generator when in ON state. Adopting such parameters enables avoiding to previously know the battery losses on a given trip and offers the possibility to update the control according to online measures. Addresses are also given on how to online assess the trip parameters to be used as inputs for the algorithm.
Keywords :
electric generators; electric propulsion; fuel optimal control; hybrid electric vehicles; load forecasting; power generation control; road vehicles; electricity generation control; energy conversion; fuel consumption minimization; fuel optimal control; generator consumption maps; instantaneous power; load forecasting; road vehicle control; road vehicle propulsion; series hybrid electric vehicles; vehicle battery behavior; vehicle electric generator; Battery powered vehicles; Character generation; Electric vehicles; Energy consumption; Fuels; Generators; Hybrid electric vehicles; Hybrid power systems; Power generation; Switches;
Journal_Title :
Energy Conversion, IEEE Transactions on
DOI :
10.1109/TEC.2003.821862