基于粒子群算法的Plug-in混合动力汽车能量管理策略优化研究  

Optimal Energy Management Strategy for a Plug-in Hybrid Electric Vehicle based on Particle Swarm Arithmetic

作　　者：林潇[1] 张君鸿[1] 

机构地区：[1]上海汽车集团股份有限公司技术中心,上海201084

出　　处：《上海汽车》2011年第5期12-18,共7页Shanghai Auto

摘　　要：基于对混合动力汽车能量管理策略优化的目的,建立了丰田Prius Plug-in混合动力汽车的MATLAB/Simulink数学模型,用数学公式描述了系统优化控制问题,采用粒子群优化算法对该包含众多约束条件的非线性优化问题进行了求解,利用PSAT专业软件对比分析了基本型优化控制算法、改进型优化控制算法和规则控制算法等的控制效果及燃油经济性。结果表明,经过优化后的Plug-in混合动力汽车在不牺牲汽车各项性能的前提下能提高动力系统工作效率。Based on the purpose of energy management optimization for the hybrid electric vehicle, a mathematical model of Toyota Prius plug-in hybrid electric vehicle （PHEV） is established using MATLAB/Simulink. Then the optimal control problem is formulated and particle swarm optimiza- tion is introduced to solve this nonlinear optimization problem with inequality constraints. The control effect and fuel economy of basic optimal control, improved optimal control and rule - based control arithmetic are compared using professional software PSAT. The results show that PHEV with this improved optimization process will get higher fuel economy and less emissions without sacrificing any vehicle performance.

关 键 词：混合动力 汽车 能量管理 

分 类 号：U469.7[机械工程—车辆工程]