TY - GEN
T1 - Optimization for Valve Operating Parameters of Variable Valve Engine Based on Genetic Algorithm
AU - Li, Hong
AU - Huang, Ying
AU - Li, Huan
AU - Sun, Baigang
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - Aiming at the valve operating parameters optimization of electro-hydraulic variable valve engine(EHVV), a one-dimensional simulation model based on WAVE was established, and the effects of EHVV system on the engine performance were studied. Then, a variable valve operating parameters optimization algorithm based on genetic algorithm was proposed. The HC emission indexed penalty function was designed to ensure the optimal power and economy performances under the proper emission constraints. Based on Matlab/Simulink and Ricardo WAVE co-simulation platform, detailed algorithm implementation was carried out. The variable valve operating parameters optimization under full load under at different engine speeds were carried out, and the effects of different penalty functions on optimization results were studied. The simulation results show that, using the optimal parameters, under the same emission performance as the original engine, the overall average fuel consumption decreased by 2.1% and the torque increased by 8.5%. Especially at low and medium speeds, the improvement of power performance is more obvious.
AB - Aiming at the valve operating parameters optimization of electro-hydraulic variable valve engine(EHVV), a one-dimensional simulation model based on WAVE was established, and the effects of EHVV system on the engine performance were studied. Then, a variable valve operating parameters optimization algorithm based on genetic algorithm was proposed. The HC emission indexed penalty function was designed to ensure the optimal power and economy performances under the proper emission constraints. Based on Matlab/Simulink and Ricardo WAVE co-simulation platform, detailed algorithm implementation was carried out. The variable valve operating parameters optimization under full load under at different engine speeds were carried out, and the effects of different penalty functions on optimization results were studied. The simulation results show that, using the optimal parameters, under the same emission performance as the original engine, the overall average fuel consumption decreased by 2.1% and the torque increased by 8.5%. Especially at low and medium speeds, the improvement of power performance is more obvious.
KW - electro-hydraulic variable valve
KW - genetic algorithm
KW - operating parameters optimization
KW - penalty function
UR - http://www.scopus.com/inward/record.url?scp=85086258037&partnerID=8YFLogxK
U2 - 10.1109/ITNEC48623.2020.9085111
DO - 10.1109/ITNEC48623.2020.9085111
M3 - Conference contribution
AN - SCOPUS:85086258037
T3 - Proceedings of 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2020
SP - 763
EP - 768
BT - Proceedings of 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2020
A2 - Xu, Bing
A2 - Mou, Kefen
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2020
Y2 - 12 June 2020 through 14 June 2020
ER -
