Control strategy optimization research using Dynamic Programming method for Synergic Electric System on HEV

Author

Yuan-bin Yu ; Wang Qing-nian ; Chen Yong-jiu ; Hu Chang-jian ; Wang Bo-shi

Author_Institution

State Key Lab. of Automobile Dynamic Simulation, JILIN Univ., Changchun, China

fYear

2009

fDate

3-5 June 2009

Firstpage

770

Lastpage

774

Abstract

Dynamic Programming (DP) algorithm is used to find the optimal trajectories under Beijing cycle for the power management of synergic electric system which composed of batteries and super capacitors. Feasible rules are derived from analyzing the optimal trajectories, and it is shown that the highest contribution of Synergic Electric System (SES) to the HEV and the methods of how to get the best performance of it. Using the new Rule-based power management strategy adopted from the optimal results, it is easy to demonstrate the effectiveness of new strategies in further improving the fuel economy of the synergic hybrid system.

Keywords

dynamic programming; fuel systems; hybrid electric vehicles; road vehicles; Beijing cycle; control strategy optimization; dynamic programming; fuel economy; optimal trajectories; rule-based power management; synergic electric system; Battery management systems; Capacitors; Control systems; Dynamic programming; Energy management; Heuristic algorithms; Hybrid electric vehicles; Optimization methods; Performance analysis; Power system management; Dynamic Programming; HEV; Synergic Electric System; control strategy; optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Vehicles Symposium, 2009 IEEE

Conference_Location

Xi´an

ISSN

1931-0587

Print_ISBN

978-1-4244-3503-6

Electronic_ISBN

1931-0587

Type

conf

DOI

10.1109/IVS.2009.5164375

Filename

5164375