DocumentCode :
232721
Title :
On-line energy distribution for hybrid electric vehicles using optimal power-split-ratio
Author :
Ma Siwei ; Yuan Hongliang ; Song Jipeng ; Wang Jun
Author_Institution :
Dept. of Control Sci. & Eng., Tongji Univ., Shanghai, China
fYear :
2014
fDate :
28-30 July 2014
Firstpage :
7016
Lastpage :
7021
Abstract :
This paper presents a near-optimal on-line energy control strategy based on power-split-ratio for hybrid electric vehicles. Firstly, a typical series-parallel hybrid electric vehicle model, Prius II, is developed and validated by ADVISOR. Secondly, the optimal energy distribution problem is initially solved by dynamic programming. Considering the frequent engine start-stop phases in existing energy management strategies, the objective of dynamic programming is to optimally balance the fuel consumption and the engine start-stop phases. Lastly, through analysis of the engine operating points obtained from dynamic programming results, the improved control rules are proposed by obtaining the engine optimal operating line and finding the optimal power-split-ratio in different driving situations. Moreover, A Matlab/Simulink model is built to evaluate the validity of the proposed control rules. Four different driving cycles are tested, and the results show 10%-30% performance improvement in comparison with the results in ADVISOR.
Keywords :
dynamic programming; energy management systems; engines; hybrid electric vehicles; optimal control; power control; transport control; ADVISOR; Matlab-Simulink model; Prius II; dynamic programming; energy management strategy; engine start-stop phase; fuel consumption; near-optimal on-line energy control strategy; optimal online energy distribution problem; optimal power-split-ratio; series-parallel hybrid electric vehicle model; Batteries; Engines; Fuels; Gears; Mathematical model; System-on-chip; Vehicles; Dynamic programming; Energy management; Hybrid electric vehicles; Power-split-ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
Type :
conf
DOI :
10.1109/ChiCC.2014.6896158
Filename :
6896158
Link To Document :
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