燃料电池轿车模型预测实时优化控制  

Model Predictive Real-time Optimal Control of Fuel Cell Car

作　　者：赵治国[1] 沈沛鸿[1] 郏怡颖[1] 周良杰[1] ZHAO Zhiguo;SHEN Peihong;JIA Yiying;ZHOU Liangjie(School of Automotive Studies, Tongji University, Shanghai 201804 China)

机构地区：[1]同济大学汽车学院,上海201804

出　　处：《同济大学学报（自然科学版）》2018年第5期648-657,共10页Journal of Tongji University:Natural Science

基　　金：国家重大科学仪器设备开发专项(2012YQ15025603)

摘　　要：针对面向示范的燃料电池轿车,以提高能量经济性为目标,采用模型预测控制(MPC)对能量管理策略进行实时动态优化.仿真结果表明:所设计的MPC策略能够有效改善燃料电池轿车的能量经济性,并能满足实时控制的需要.Aiming at the exampled fuel cell car,this paper studies the real-time optimal algorithm of energy management strategy for fuel cell car based on model predictive control（MPC）theory,with the target of improving energy economy.The simulation results indicate that the proposed MPC algorithm can effectively improve energy economy, satisfying the instantaneity of the control.

关 键 词：燃料电池轿车 模型预测控制(MPC) 能量管理策略 能量经济性 

分 类 号：U461.8[机械工程—车辆工程]