TY - GEN
T1 - Optimization of control strategy for plug-in hybrid electric vehicle based on differential evolution algorithm
AU - Zhang, Lipeng
AU - Lin, Cheng
AU - Niu, Xiang
PY - 2009
Y1 - 2009
N2 - In order to improve fuel economy, reduce emission and maintain battery life, the simulation model and control strategy for plug-in hybrid electric vehicle were established by means of PSAT and MATLAB/SIMULINK. Based on differential evolution algorithm, the control parameters were global optimized. The simulation result shows that the optimized control parameters can obviously improve the vehicle economy. It not only proves the necessary of carrying out control parameters optimization, but also reflects the excellent ability of differential evolution algorithm to realize the global optimization.
AB - In order to improve fuel economy, reduce emission and maintain battery life, the simulation model and control strategy for plug-in hybrid electric vehicle were established by means of PSAT and MATLAB/SIMULINK. Based on differential evolution algorithm, the control parameters were global optimized. The simulation result shows that the optimized control parameters can obviously improve the vehicle economy. It not only proves the necessary of carrying out control parameters optimization, but also reflects the excellent ability of differential evolution algorithm to realize the global optimization.
KW - Control strategy
KW - Differential evolution algorithm
KW - Parameters optimization
KW - Plug-in hybrid electric vehicle
UR - http://www.scopus.com/inward/record.url?scp=84869978029&partnerID=8YFLogxK
U2 - 10.1109/APPEEC.2009.4918574
DO - 10.1109/APPEEC.2009.4918574
M3 - Conference contribution
AN - SCOPUS:84869978029
SN - 9781424424870
T3 - Asia-Pacific Power and Energy Engineering Conference, APPEEC
BT - 2009 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2009 - Proceedings
T2 - 2009 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2009
Y2 - 27 March 2009 through 31 March 2009
ER -