电动汽车增程器运行优化的改进粒子群算法研究  

Research on operation optimization of range extender in electric vehicle based on improved PSO algorithm

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,长沙410082

出　　处：《电子测量与仪器学报》2016年第9期1397-1404,共8页Journal of Electronic Measurement and Instrumentation

基　　金："863"国家高技术研究发展计划基金(2012AA111004);国家自然科学基金(61104088)资助项目

摘　　要：以增程式电动汽车增程器运行优化问题为研究对象。首先分析了现有汽车节能减排策略的不足;然后综合分析增程式电动汽车油耗、CO、NO_x排放特性,通过加权办法建立了综合分析模型以同时考虑3个特性,并提出两种常见工况;其次分析标准粒子群算法及其不足,提出了一种改进的粒子群算法,并在所建立的全局工作模型上进行优化,结合与标准PSO算法优化结果进行对比,证明文章提出的改进粒子群算法能有效避免陷入局部最优解;最后通过赋予综合模型不同的权重,验证所提出的综合分析模型在不同的优化条件下能重点优化某一变量,实现电动汽车的运行优化。The operation optimization of range extender in electric vehicle is researched. Firstly, the energy conservation and emission reduction of vehicle is analyzed, then considering the fuel consumption, CO and NOx emissions, the comprehensive model is established by the weighted method and two kinds of common conditions are presented. Secondly, the shortage of standard PSO algorithm is indicated, and the improved PSO algorithm is proposed. The distribution of the improved PSO optimal solution is funded out. Compared with standard PSO algorithm, it is demonstrated that the improved PSO can effectively avoid falling into local optimal solution. Finally, the curve of best composite cost curve under the condition of different weights is gotten. It is verified that the proposed approach can realize the operation optimization of electric vehicle under different operating conditions by adjusting the weights.

关 键 词：电动汽车 增程器 油耗率 CO NOx 粒子群算法 

分 类 号：U469.7[机械工程—车辆工程] TN06[交通运输工程—载运工具运用工程]