摘要
串联混合动力汽车的动力源通常由内燃机和电池组成,对于确定的功率需求,如何分配两种动力源的输出,使得在整个工况中耗油量最小是串联混合动力汽车能量优化管理需要解决的问题。就串联混合动力汽车的能量管理问题而言,其本质是带约束的非线性优化问题。针对串联混合动力汽车能量管理最优化问题的特点,结合新的优化算法——猴群算法,对串联混合动力汽车能量管理策略进行了研究,提出了一种新型串联混合动力汽车能量管理策略,并对多种工况进行仿真。结果表明,该算法具有很强的寻优能力,不受维数的约束,快速收敛到全局最优解,可以有效地解决串联混合动力汽车能量优化管理问题。
Series hybrid electric vehicles（HEV） are usually powered by two different energy sources, which are internal combustion engine and batteries.How to split the instantaneous power between the two energy sources to make the minimum fuel consumption is an important problem. As for the energy man-agement, its essence is nonlinear optimization problem with constraints. According to the characteristic of series hybrid electric vehicle energy management optimization problem, a novel energy management strategy was presented combing monkey algorithm. Simulation results of several typical driving cycles demonstrate that the novel energy management has a good global search capability and can get the optimum solution quickly without dimension limitation. It can solve the energy management problem of series hybrid electric vehicle effectively.
出处
《中国农机化学报》
北大核心
2014年第5期128-132,152,共6页
Journal of Chinese Agricultural Mechanization
基金
国家自然基金青年科学基金(51305190)--智能四轮独立驱动轮毂电动汽车自适应转向研究
关键词
全局最优解
混合动力汽车
能量管理
global optimal solution
hybrid electric vehicle
energy management
