TY - JOUR
T1 - Combinatorial Optimization Algorithm of MIGA and NLPQL for a Plug-in Hybrid Electric Bus Parameters Optimization
AU - He, Hongwen
AU - Yi, Lu
AU - Peng, Jiankun
N1 - Publisher Copyright:
© 2017 The Authors.
PY - 2017
Y1 - 2017
N2 - In this paper, the fuel economy is chosen as the optimization target of a Plug-in hybrid electric bus (PHEB). The optimization mathematical model of PHEB powertrain parameters is established, which is based on optimal energy management strategy, and the energy management strategy of this model is formulated by dynamic programming (DP) algorithm. Firstly, PHEB fuel economy is chosen as the objective function of parameter optimization. Then, combinatorial optimization algorithm is designed by Multi-Island genetic algorithm (MIGA) and Sequential Quadratic Programming-NLPQL. MIGA is used for global optimization firstly, and the NLPQL is used for local optimization. Finally, experiments results prove that PHEB fuel consumption per 100 km has reduced to 17.41 L diesel from 18.51 L diesel, and electricity consumption per 100 km remains the same level.
AB - In this paper, the fuel economy is chosen as the optimization target of a Plug-in hybrid electric bus (PHEB). The optimization mathematical model of PHEB powertrain parameters is established, which is based on optimal energy management strategy, and the energy management strategy of this model is formulated by dynamic programming (DP) algorithm. Firstly, PHEB fuel economy is chosen as the objective function of parameter optimization. Then, combinatorial optimization algorithm is designed by Multi-Island genetic algorithm (MIGA) and Sequential Quadratic Programming-NLPQL. MIGA is used for global optimization firstly, and the NLPQL is used for local optimization. Finally, experiments results prove that PHEB fuel consumption per 100 km has reduced to 17.41 L diesel from 18.51 L diesel, and electricity consumption per 100 km remains the same level.
KW - Multi-Island genetic algorithm
KW - Parameters optimization
KW - Plug-in Hybrid electric bus
KW - Sequential Quadratic Programming-NLPQL
UR - http://www.scopus.com/inward/record.url?scp=85020744534&partnerID=8YFLogxK
U2 - 10.1016/j.egypro.2017.03.708
DO - 10.1016/j.egypro.2017.03.708
M3 - Conference article
AN - SCOPUS:85020744534
SN - 1876-6102
VL - 105
SP - 2460
EP - 2465
JO - Energy Procedia
JF - Energy Procedia
T2 - 8th International Conference on Applied Energy, ICAE 2016
Y2 - 8 October 2016 through 11 October 2016
ER -
