TY  - JOUR
SP  - 477
ID  - scholars3039
N2  - This paper builds up a typical model of a parallel hybrid electric vehicle and develops model predictive controllers for this model to control the speeds and torques for fast clutch engagement with high driving comfort and low jerk. Some modified algorithms for model predictive controllers are studied to improve their ability to track the desired speed setpoints, subject to input and output constraints. © 2012 The Korean Society of Automotive Engineers and Springer-Verlag Berlin Heidelberg.
A1  - Minh, V.T.
A1  - Rashid, A.A.
JF  - International Journal of Automotive Technology
Y1  - 2012///
N1  - cited By 37
TI  - Modeling and model predictive control for hybrid electric vehicles
IS  - 3
SN  - 12299138
VL  - 13
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84858740829&doi=10.1007%2fs12239-012-0045-0&partnerID=40&md5=6d00f6a4704eadd8c51d81b136a9c0bd
AV  - none
EP  - 485
KW  - Driving comfort; Input and output constraints; Model predictive controllers; Modified algorithms; Parallel hybrid electric vehicles; Setpoints; Speed-tracking; Typical model; Vehicle modeling
KW  -  Electric vehicles; Hybrid vehicles; Model predictive control; Secondary batteries
KW  -  Predictive control systems
ER  -