智能系统学报2017，Vol.12Issue(2)：166-171,6.DOI:10.11992/tis.200603024
萤火虫算法的电动汽车综合成本运行优化研究
Optimizing the composite cost of electric vehicles based on the firefly optimization model
摘要
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.关键词
电动汽车/油耗/排放/成本/发动机/增程器Key words
electric vehicle/fuel consumption/emission/cost/engine/range extender分类
信息技术与安全科学引用本文复制引用
许斌杰,王耀南..萤火虫算法的电动汽车综合成本运行优化研究[J].智能系统学报,2017,12(2):166-171,6.基金项目
国家"863"计划项目(2012AA111004) （2012AA111004）
国家自然科学基金项目(61104088). （61104088）
