Title :
Fuzzy Logic Approach to Regenerative Braking System
Author :
Zhang, Jing-Ming ; Song, Bao-Yu ; Cui, Shu-Mei ; Ren, Dian-Bo
Author_Institution :
Sch. of Mech. & Electr. Eng., Harbin Inst. of Technol., Harbin, China
Abstract :
In order to enhance the recycling and using efficiency of the regenerative braking energy of HEV(hybrid electric vehicle), this article applies the FLC(fuzzy logic control)in the brake energy recovery system, designs the fuzzy logic controller structure and model, and inserts it to the vehicle model to carry on the simulation analysis under ADVISOR environment. Compared with the traditional electricity secondary control strategy, using the fuzzy logic control strategy, the engine and the accumulator cell work much more steadily, and the recovery efficiency of the regenerative braking energy gets higher.
Keywords :
control system synthesis; energy storage; fuzzy control; hybrid electric vehicles; regenerative braking; ADVISOR environment; brake energy recovery system; fuzzy logic control strategy; hybrid electric vehicle; regenerative braking system; Friction; Fuzzy logic; Hybrid electric vehicles; Inductance; Intelligent systems; Machinery; Niobium; Recycling; Switches; Voltage; Control strategy; FLC; HEV; Regenerative Braking; Simulation;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on
Conference_Location :
Hangzhou, Zhejiang
Print_ISBN :
978-0-7695-3752-8
DOI :
10.1109/IHMSC.2009.120
