[1]XU Binjie,WANG Yaonan.Optimizing the composite cost of electric vehicles based on the firefly optimization model[J].CAAI Transactions on Intelligent Systems,2017,12(2):166-171.[doi:10.11992/tis.200603024]
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Optimizing the composite cost of electric vehicles based on the firefly optimization model

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 12 Number of periods: 2017 2 Page number: 166-171 Column: 学术论文—机器学习 Public date: 2017-05-05
Title:
Optimizing the composite cost of electric vehicles based on the firefly optimization model
Author(s):
XU Binjie;  WANG Yaonan
College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Keywords:
electric vehicle; fuel consumption; emission; cost; engine; range extender
CLC:
TP27;U469.7
DOI:
10.11992/tis.200603024
Abstract:
To achieve savings in energy and reductions of emissions, we propose a process operation optimization method based on dynamic comprehensive cost for range-extending electric vehicles. With the external characteristics of range-extending engines as the basis of our research, we first established engine fuel consumption and carbon monoxide (CO) emission rate models according to actual working conditions. Next, through normalization, we developed an operation optimization model of comprehensive cost for the electric vehicle by using a multi-goal weighted summation method. With our optimization model, we used the firefly algorithm to find the optimal operation value using the two patterns of global optimization and specific power optimization. Finally, we obtained the operation curve corresponding to the optimal comprehensive cost under different weight conditions. Our experimental results show that our proposed method can dynamically adjust the weight value in different operating environments, thus optimizing comprehensive cost based on both fuel consumption and CO emissions.
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