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

作　　者：许斌杰[1] 王耀南[1] 

机构地区：[1]湖南大学电气与信息工程学院,湖南长沙410082

出　　处：《智能系统学报》2017年第2期166-171,共6页CAAI Transactions on Intelligent Systems

基　　金：国家"863"计划项目(2012AA111004);国家自然科学基金项目(61104088)

摘　　要：为实现节能减排,文章以增程式电动汽车为研究对象,提出了一种基于动态综合成本的增程器运行优化方法。首先以增程器发动机外特性为研究基础,根据实际工作状况分别建立了发动机燃油消耗率及CO排放率模型,再通过归一化后将多个目标加权求和的方法建立电动汽车综合成本运行优化模型。模型建立后,在全局优化及特定功率优化这两种常见模式下以萤火虫算法进行寻优,最后在不同的权重条件下得出最佳综合成本运行曲线。实验结果表明,文章提出的方法能够在不同的运行环境下通过动态调整权重值,实现基于燃油消耗率及CO排放的综合成本运行优化。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 de- veloped an operation optimization model of comprehensive cost for the electric vehicle by using a multi-goal weigh- ted summation method. With our optimization model, we used the firefly algorithm to find the optimal operation val- ue 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 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] U469.72[自动化与计算机技术—控制科学与工程]