DocumentCode
136836
Title
Control research for hybrid compound braking based on an uncertainty predictive model
Author
Wei Liu ; Hongwen He ; Hongqiang Guo ; Fengchun Sun
Author_Institution
Nat. Eng. Lab. for Electr. Vehicles, Beijing Inst. of Technol., Beijing, China
fYear
2014
fDate
Aug. 31 2014-Sept. 3 2014
Firstpage
1
Lastpage
6
Abstract
For an EV with double driving motors, an uncertainty predictive model was proposed for the hybrid compound braking control system, which has the simple structural characteristics as the parallel system and the controlling advantages as the series system. The distribution coefficients of the braking force were optimized off-line by uncertainty analysis. Then the response surfaces of the distribution coefficients related to the vehicle state were established. The simulation results show that the required braking severity can be well tracked and high performance and reliability of braking stability and regenerative efficiency were obtained.
Keywords
electric vehicles; predictive control; regenerative braking; uncertain systems; EV; braking force; braking stability; distribution coefficients; double driving motors; hybrid compound braking control system; parallel system; regenerative efficiency; uncertainty analysis; uncertainty predictive model; Compounds; Force; Predictive models; System-on-chip; Torque; Uncertainty; Vehicles; braking stability; composite braking; regenerative efficiency; uncertainty predictive model;
fLanguage
English
Publisher
ieee
Conference_Titel
Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
Conference_Location
Beijing
Print_ISBN
978-1-4799-4240-4
Type
conf
DOI
10.1109/ITEC-AP.2014.6941108
Filename
6941108
Link To Document