TY - GEN
T1 - Segmentation trajectory optimization of nonlinear power components in series HEV
AU - Ruan, Shumin
AU - Ma, Yue
AU - Qi, Fei
AU - Zhang, Huimin
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - In order to improve the acceleration response of hybrid vehicles, this paper applies Radau pseudo-spectral method to solve the trajectory optimization problem of vehicle acceleration. The mathematical model of engine-generator, battery pack and electric motor is established, and the optimal control problem of vehicle acceleration time is constructed. As for the problem is strongly nonlinear. The problem is transformed into a nonlinear programming problem by Radau pseudo-spectral method, and the numerical solution is carried out. The rotational speed and torque trajectory curves of the engine-generator set and the motor are obtained. The simulation results show that Radau pseudo-spectral method can optimize the working curve of various components of hybrid vehicles and improve response speed.
AB - In order to improve the acceleration response of hybrid vehicles, this paper applies Radau pseudo-spectral method to solve the trajectory optimization problem of vehicle acceleration. The mathematical model of engine-generator, battery pack and electric motor is established, and the optimal control problem of vehicle acceleration time is constructed. As for the problem is strongly nonlinear. The problem is transformed into a nonlinear programming problem by Radau pseudo-spectral method, and the numerical solution is carried out. The rotational speed and torque trajectory curves of the engine-generator set and the motor are obtained. The simulation results show that Radau pseudo-spectral method can optimize the working curve of various components of hybrid vehicles and improve response speed.
KW - Hybrid electric vehicle
KW - Optimal control
KW - Radau pseudo-spectral method
UR - http://www.scopus.com/inward/record.url?scp=85076426805&partnerID=8YFLogxK
U2 - 10.1109/DDCLS.2019.8909016
DO - 10.1109/DDCLS.2019.8909016
M3 - Conference contribution
AN - SCOPUS:85076426805
T3 - Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019
SP - 800
EP - 807
BT - Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2019
Y2 - 24 May 2019 through 27 May 2019
ER -