增程式电动汽车最优曲线模糊控制策略研究  

A Research on Optimal Curve Fuzzy Control Strategy for Extended-Range Electric Vehicles

作　　者：牛继高[1] 牛丹彤 徐春华 裴冯来 Niu Jigao1, Niu Dantong2, Xu Chunhua1 , Pei Fenglai3(1. School o f Mechanical ＆ Electronic Engineering,Zhongyuan University o f Technology,Zhengzhou 450007 ,2. College o f Information and Electrical Engineering,China Agricultural University,Beijing 100083,3. Shanghai Motor Vehicle Inspection Certification ＆ Tech Innovation Center Co., L td . , Shanghai 20180)

机构地区：[1]中原工学院机电学院,郑州450007 [2]中囯农业大学信息与电气工程学院,北京100083 [3]上海机动车检测认证技术研究中心有限公司,上海201805

出　　处：《汽车工程》2018年第7期757-763,共7页Automotive Engineering

基　　金：河南省高等学校重点科研项目(17A460006); 河南省科技攻关计划项目(172102210595); 河南省现代制造装备与仪器重点学科开放实验室项目(2015MEI003)资助

摘　　要：针对增程式电动汽车多动力源的能量分配和车辆行驶工况具有较大随机性和不确定性的问题,提出了一种增程式电动汽车最优曲线模糊控制策略。该策略包含两个子模糊控制器,分别施行发动机工作区间的模糊调整和串联功率的模糊分配,以决定发动机最优曲线上的工作区间和串联结构形式下发动机/发电机和动力电池输出功率的分配。离线硬件在环仿真结果表明,所采用的控制策略通用性强且具有较好的鲁棒性,能实现预设的控制目标,获得较优的燃油经济性。In view of the energy assignment of multi-power sources and the randomness and uncertainty of real vehicle driving conditions in an extended-range electric vehicle,an optimal curve fuzzy control strategy is put forward. The strategy includes two fuzzy sub-controllers to perform the fuzzy adjustment of engine operation region and the fuzzy assignment of series power,for deciding the working interval on the optimal curve of engine and the output power assignment between engine/generator and traction battery respectively in series powertrain configuration. The results of off-line HIL simulation indicate that the control strategy adopted has a high generality and good robustness and can achieve the preset control objectives with a better fuel economy.

关 键 词：增程式电动汽车 双模糊控制器 燃油经济性 硬件在环仿真 

分 类 号：U469.72[机械工程—车辆工程]