TY - JOUR
T1 - Fuzzy Multi-objective Optimization of EMT Based on the Minimum Average Weighted Deviation Algorithm
AU - Ma, Pengtao
AU - Han, Lijin
AU - Liu, Hui
AU - Zhang, Hui
N1 - Publisher Copyright:
© 2017 Published by Elsevier Ltd.
PY - 2017
Y1 - 2017
N2 - The optimal control of the vehicles with electro-mechanical transmission is a problem of multi-objective optimization. In this paper, based on the working characteristics of the engine, the battery pack and the motor/generators (MGs) as well as their interactions, a multi-objective optimization model with the optimal objective functions which include drivability, electric supply performance and fuel consumption is established. Using the relative membership degree formulas, the multi-objective optimization is transformed to fuzzy multi-objective optimization, and the problem of multi-objective optimization is converted to single-objective optimization with the corresponding weights of the objective functions gained by the minimum average weighted deviation algorithm. The forward model based on Matlab is implemented. Compared with the rule-based method, this method had enabled the drivability, the electric supply performance and the fuel consumption to improve by 29.8%, 38.1% and 11.8%, respectively.
AB - The optimal control of the vehicles with electro-mechanical transmission is a problem of multi-objective optimization. In this paper, based on the working characteristics of the engine, the battery pack and the motor/generators (MGs) as well as their interactions, a multi-objective optimization model with the optimal objective functions which include drivability, electric supply performance and fuel consumption is established. Using the relative membership degree formulas, the multi-objective optimization is transformed to fuzzy multi-objective optimization, and the problem of multi-objective optimization is converted to single-objective optimization with the corresponding weights of the objective functions gained by the minimum average weighted deviation algorithm. The forward model based on Matlab is implemented. Compared with the rule-based method, this method had enabled the drivability, the electric supply performance and the fuel consumption to improve by 29.8%, 38.1% and 11.8%, respectively.
KW - electro-mechanical transmission
KW - fuzzy multi-objective optimization
KW - minimum average weighted deviation algorithm
UR - http://www.scopus.com/inward/record.url?scp=85020716920&partnerID=8YFLogxK
U2 - 10.1016/j.egypro.2017.03.691
DO - 10.1016/j.egypro.2017.03.691
M3 - Conference article
AN - SCOPUS:85020716920
SN - 1876-6102
VL - 105
SP - 2409
EP - 2414
JO - Energy Procedia
JF - Energy Procedia
T2 - 8th International Conference on Applied Energy, ICAE 2016
Y2 - 8 October 2016 through 11 October 2016
ER -