| 基于系统综合效率最优的双轴并联PHEV联合优化控制策略 |
| |
| 引用本文： | 王伟达,王仙涛,闫正军,徐劲松,王宇,李训明.基于系统综合效率最优的双轴并联PHEV联合优化控制策略[J].北京理工大学学报,2018,38(S1):205-210. |
| |
| 作者姓名： | 王伟达 王仙涛 闫正军 徐劲松 王宇 李训明 |
| |
| 作者单位： | 北京理工大学 机械与车辆学院, 北京 100081,北京理工大学 机械与车辆学院, 北京 100081,陆军工程大学, 湖北, 武汉 430075,内蒙古第一机械集团有限公司, 内蒙古, 包头 140032,内蒙古第一机械集团有限公司, 内蒙古, 包头 140032,北京理工大学 机械与车辆学院, 北京 100081 |
| |
| 基金项目： | 国家自然科学基金资助项目（51575043，U1564210） |
| |
| 摘 要： | 针对双轴并联插电式混合动力汽车控制策略与参数优化问题，综合考虑发动机和电动机工作区间对整车经济性的影响，以系统综合效率最高为目标提出了同时优化转矩分配和变速器挡位的联合优化控制策略，同时引入成本函数对整车经济性和换挡成本进行综合评价.制定控制策略后，以整车在NEDC工况下的电平衡油耗最低为优化目标，采用Isight/Cruise/Simulink联合仿真优化平台采用自适应模拟退火算法对联合优化控制策略参数进行了优化.仿真结果表明，经优化参数后的联合优化控制策略比未经参数优化的规则策略节省油耗7.7%，比运用初始规则策略节省油耗17.3%.
|
| 关 键 词： | 插电式混合动力汽车 联合优化控制策略 自适应模拟退火算法 |
| 收稿时间： | 2018/6/10 0:00:00 |
Optimal Control Strategy of Dual-Axis-Parallel PHEV Based on Optimal System Efficiency |
| |
| WANG Wei-d,WANG Xian-tao,YAN Zheng-jun,XU Jin-song,WANG Yu and LI Xun-ming.Optimal Control Strategy of Dual-Axis-Parallel PHEV Based on Optimal System Efficiency[J].Journal of Beijing Institute of Technology(Natural Science Edition),2018,38(S1):205-210. |
| |
| Authors: | WANG Wei-d WANG Xian-tao YAN Zheng-jun XU Jin-song WANG Yu and LI Xun-ming |
| |
| Institution: | School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China,School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China,PLA Army Engineering University, Wuhan, Hubei 430075, China,Inner Mongolia First Machinery Group Co. Ltd., Baotou, Inner Mongolia 140032, China,Inner Mongolia First Machinery Group Co. Ltd., Baotou, Inner Mongolia 140032, China and School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China |
| |
| Abstract: | In view of the control strategy and parameter optimization of the dual-axis-parallel plug in hybrid electric vehicle (PHEV), a joint optimization control strategy was proposed, analyzing the impact of engine and motor working area on vehicle economy, taking the torque distributing ratio and transmission gear as the optimization parameters, and taking the highest comprehensive system efficiency as the optimization target. Meanwhile, the cost function was introduced to coordinate the control of comprehensive system efficiency and gear shifting cost. Taking the lowest fuel consumption under the typical cycle condition as optimized objective, an adaptive simulated annealing (ASA) algorithm was used to optimize the parameters of the joint optimization control strategy based on the Isight-Cruise-Matlab joint optimization simulation platform. The simulation results show that, compared with the pre-optimization strategy, the parameter optimization strategy saved the oil consumption by 7.7%, and saved 17.3% compared with the initial rule strategy. |
| |
| Keywords: | plug in hybrid electric vehicle(PHEV) joint optimization control strategy adaptive simulated annealing (ASA) algorithm |
|
| 点击此处可从《北京理工大学学报》浏览原始摘要信息 |
| 点击此处可从《北京理工大学学报》下载免费的PDF全文 |
|
