Title :
A kind of accurately Optimized braking energy distribution strategy applied to switched Series-parallel Hybrid Electric Bus
Author :
Zeng, Xiaohua ; Ba, Te ; Wang, Qingnian ; Qu, Xiaodong ; Song, Dafeng
Author_Institution :
State Key Lab. of Automobile Simulation & Control, Jilin Univ., Changchun, China
Abstract :
Hybrid and Electric Vehicles offer the possibility of fuel saving by regenerative braking, a storage and retrieval capability for energy that would normally be wasted as heat during braking event. This paper focuses on regenerative braking in a parallel-series hybrid electric bus and specifically on how its control strategy can be formulated and optimized. To conduct the study it is necessary to model the behavior of the vehicle in AVL/CRUISE software which is a dynamic environment used to explain the simulation procedure for optimized regenerative braking strategy and original regenerative braking strategy. Then the braking performance and fuel economy of each strategy which is developed in the MATLAB/SIMULINK are studied and compared with the other in China City Cycle. Finally, the advantages of optimized regenerative braking strategy are evaluated.
Keywords :
energy conservation; energy storage; fuel economy; hybrid electric vehicles; mechanical engineering computing; optimisation; regenerative braking; AVL/CRUISE software; energy retrieval capability; energy storage capability; fuel saving; hybrid electric vehicles; optimized braking energy distribution strategy; regenerative braking; switched series-parallel hybrid electric bus; Force; Friction; Fuels; Mathematical model; Optimization; Torque; Vehicles; Hybrid Electric Bus (HEB); control strategy; regenerative braking; simulation software CRUISE;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6009985